risk assessment report in majingklak and ciawitali sub-village, pamotan village ciamis district,...

Report on Rapid Risk Assessment in Majingklak and Ciawitali Sub-villages, Pamotan Village Ciamis Distric i

Report on Rapid Risk Assessment In Majingklak and Ciawitali sub-village, Pamotan Village Ciamis District, Jawa Barat Province

Prepared by:

Renee Picasso Manoppo Kustiwa Adinata Verdinand Gedoan Ferry Irianto

Agustus 2011 Project number : K-IDN-1104-0001 Project Name : Lighthouse Project Phase II

Report on Rapid Risk Assessment in Majingklak and Ciawitali Sub-villages, Pamotan Village Ciamis Distric ii

P re face

This Rapid Assessment Report was prepared as a realization of the writer’s accountability to the community that have been involved in the risk assessment activities. This report was prepared based on the data gathered by the enumerator team in Majingklak and Ciawitali sub-villages.

We would also like to express our appreciation and gratitude to Mr. Leonardo Ratuwalangon, Head of Office DKH Project Office Indonesia for his input, critical comments, and suggestions during the implementation of risk assessment and completion of this report. Our thanks are also due to the enumerator team: Jum’an, Muhidin, Asri, Supin, Tugino, Slamet, and Warno, who have made accurate data gathering possible.

Last but not least, we would like to express our appreciation and gratitude to Mr. Hendi Suhardi, head of Pamotan village, Mr. Suhada, head of Ciawitali sub-village, Mr. Suyadi, head of Majingklak sub-village, Pamotan village government authorities, and all parties that we can not mention one by one, who have contributed to the smooth running of data gathering in the field.

We were hoping that the outcome of this risk assessment could be used in developing livelihood recovery programs, particularly in the two sub-villages.

Pamotan, Agustus 2011

Report ing Team

Report on Rapid Risk Assessment in Majingklak and Ciawitali Sub-villages, Pamotan Village Ciamis Distric iii

Tab le of Content

Cover Page ............................................................................................................................................... i

Preface .................................................................................................................................................... ii

Table of Content ......................................................................................................................................iii

List of Figure ............................................................................................................................................ v

List of Table ............................................................................................................................................ vi

Executive Summary.................................................................................................................................vii

Chapter-1 Introduction .............................................................................................................................1

General Description..................................................................................................................................1

Assessment Objectives ............................................................................................................................1

Target Location ........................................................................................................................................2

Chapter 2 Methodology and Techniques Analysis ....................................................................................3

Assessment Methodology ........................................................................................................................3 Target Group .......................................................................................................................................3 Data Gathering.....................................................................................................................................3 Secondary Data ...................................................................................................................................4

Data Analysis Techniques.........................................................................................................................4 Hazards Analysis..................................................................................................................................4 Vulnerability Analysis ............................................................................................................................4 Risk Analysis........................................................................................................................................5 Risk Map .............................................................................................................................................5

Chapter 3 Result of Risk Analysis .............................................................................................................6

Profile of Majingklak and Ciawitali sub-villages..........................................................................................6 Locations and Boundaries: ..................................................................................................................6 Area of sub-villages teritorry: ................................................................................................................6 Populations..........................................................................................................................................7 Livelihoods...........................................................................................................................................8 Majingklak and Ciawital sub-village Potentials. .....................................................................................9 General Problems: .............................................................................................................................10

Result of Risk Assessment in Majingklak and Ciawitali Sub-villages ........................................................11 Vulnerability........................................................................................................................................11

Exposure Level ..............................................................................................................................11 Fragility Level .................................................................................................................................12 Lack of Resilience Level.................................................................................................................14

Hazard...............................................................................................................................................16 Risk Level ..........................................................................................................................................19

Report on Rapid Risk Assessment in Majingklak and Ciawitali Sub-villages, Pamotan Village Ciamis Distric iv

Chapter 4 Conclution and Recommendation..........................................................................................20

Conclutions: ...........................................................................................................................................20

Recommendations: ................................................................................................................................20

Bibliography ............................................................................................................................................ xi

Appendices............................................................................................................................................ xiii

1. Risk Analysis Tables ...........................................................................................................................xiv

2. Quistioners ......................................................................................................................................... xv

3. Risk Maps ..........................................................................................................................................xvi

Report on Rapid Risk Assessment in Majingklak and Ciawitali Sub-villages, Pamotan Village Ciamis Distric v

L is t o f F igure

Figure 1 The composition of Population based on Gender .......................................................................7

Figure 2 Compostion of populations based on aged group. .....................................................................7

Figure 3. Comparison of the number of livelihood. ....................................................................................8

Figure 4. Exposure Level ........................................................................................................................11

Figure 5. Fragility Level ...........................................................................................................................12

Figure 6 Majingklak and Ciawitali Community’s Income Level .................................................................13

Figure 7. Comparison of the number of work force the household..........................................................14

Figure 8. Comparison of Family Heads’ Educational Level in Majingklak and Ciawitali sub-villages .........15

Figure 9. Comparison of the Community’s Lack of Resilience Level........................................................15

Figure 10 Vulnerability Level of Each Family Head in Majingklak and Ciawitali Sub-villages .....................15

Figure 11. Risk Level at Majingklak and Ciawitali sub-village based on Risk Analysis ..............................18

Figure 12. Risk per Household at Majingklak and Ciawitali sub-village. ...................................................19

Report on Rapid Risk Assessment in Majingklak and Ciawitali Sub-villages, Pamotan Village Ciamis Distric vi

L is t o f Table

Table 1. Luas Lahan.................................................................................................................................7 Table 2 Percentages of Majingklak and Ciawitali Sub-village...................................................................12 Table 3. List of Disasters .......................................................................................................................16 Table 4 Analysis of the Impact of Hazards on Group of livelihood ...........................................................17 Table 5 Season Calendar of Sea Fishery Activities in Majingklak Its Surrounding Area ............................17 Table 6 Season Calendars of Agricultural Activities in Rawa Apu. Condition after changes occurred ....18

Report on Rapid Risk Assessment in Majingklak and Ciawitali Sub-villages, Pamotan Village Ciamis Distric vii

Execut ive Summary

Risk assessment was conducted in Majingklak and Ciawitali sub-villages, Pamotan village, Kalipucang Sub-District, Ciamis District, West Java province. Located 60 km from the centre of Ciamis District governance, the two sub-villages lie at the estuary of Citanduy River, which forms a natural boundary with Central Java province. Majingklak population is 659 people in number comprising 346 men and 313 women. Ciawitali sub-village has a population of 1963 people comprising 997 men and 96 women.

Risk assessment at household level was an initial step in the process of economic and social recovery of the community exposed to hazards caused by nature as well as climate.

This risk assessment activity was started with training of enumerators, who were representatives of the two sub-villages.

Parameter yang diukur dalam penilaian risiko bencana adalah sebagai berikut:

a. Hazards Level.

Hazard or danger is an external factor that can have impact on the life of a community and have the potential to affect the community’s risk level. Hazard level analysis aims at identifying pressures posing danger to the community by means of finding out how frequently a disaster occurs and the magnitude of its impact on the risk assessment target population.

Hazard level is measured using the formula: H=(F+M)/2

H = Hazards

F = Frequency

M = Magnitude

b. Vulnerability Level.

In the context of disaster risk reduction, vulnerability is a factor and a physical, social, economic, and environmental condition as well as a process that can reduce the community’s capacity in coping with disaster impact or in other words, to what extent a vulnerable individual or group is able to overcome or recover from the impact of a certain pressure. By means of vulnerability level analysis, we can find out to what extent the communities are able to survive and recover from a disaster pressure.

Report on Rapid Risk Assessment in Majingklak and Ciawitali Sub-villages, Pamotan Village Ciamis Distric viii

Vulnerability level is assessed using the formula: V=(E+Fr+LoR)/3

V = Vulnerabi l i ty

E = Exposure

Fr = Fragi l i ty

LoR = Lack of Resi l ience

c. Risk Level

Disaster risk is potential loss caused by disaster impact on a certain territory in a certain period of time that could be in the form of death, injury, illness, endangered life, loss of security, evacuation, property loss or damage, and disruption of the community’s activities.

The concept of this risk assessment was adopted from “Risk Analysis Guidelines-Diakonie Katastrophenhilfe” (Rottach, 2008) steps recommended by ISDR to conducting Risk Assessment (International Strategy for Disaster Reduction, 2008).

The risk level of the respective households in the target group was measured based on the above variables using the following formula:

Ris iko (Risk) = Bahaya (Hazard) X Kerentanan (Vulnerabi l i ty )

Atau

Using a ranking systems as follow:

• 0-3.0 = Low

• 3.1-6.0 = Moderate

• 6.1-9.0 = High

The results of risk assessment based on the current condition indicated that hazard level (frequency and magnitude) in the two sub-villages was “high” and their vulnerability level “moderate” up to “high”, 90.79% in Majingklak as well as 37% in Ciawitali sub-village, because of the followingLetak pemukiman dan tempat aktivitas mata pencaharian mereka berada pesisir pantai serta dekat dengan muara Sungai Citanduy menyebabkan masyarakat dusun Majingklak berada pada tingkat terancam Sedang. Sedangkan masyarakat Dusun Ciawitali yang letak pemukiman mereka lebih jauh dari daerah pesisir dan muara Sungai Citanduy.

• The residential area and the place of their activities to earn a living were located at the coastal region near the estuary of Citanduy river, which made Majingklak sub-village

Report on Rapid Risk Assessment in Majingklak and Ciawitali Sub-villages, Pamotan Village Ciamis Distric ix

community be at moderate hazard level. Whereas Ciawitali sub-village with residents living farther from the coastal area and the estuary of Citanduy river were at lower hazard level.

• Limited number of income sources directly affected the income level of Majingklak and Ciawitali community’s income level. As many as 69.08% of Majingklak community and 64.49% of Ciawitali community earned less than 1 million/month.

• Limited ownership has significantly contributed to the fragility level. Only 22% of Majingklak residents owned a lot of assets (houses, 4-wheel vehicles, rice fields or gardens), 30% had average assets, and the remaining 47% had very limited assets. Whereas in Ciawitali sub-village, 27% had a great deal of assets, 50% had average assets, and 23% had very limited assets.

Therefore, our recommendations for the community’s livelihood recovery are as follows:

• On the farm school is one of the means to facilitate changes in agricultural pattern, whereby farmers could learn to provide seed, proper planting pattern, botanical fertilizer and pesticide. Dependence on middlemen could be reduced when farmers could be self-dependent.

• Facilitate the effort to restore mangrove forest whose function has been shifted by emphasizing community’s involvement.

• Encourage the community to be willing and able to improve clean water facilities, which will eventually lead to better sanitation in the two sub-villages.

• Enhance economic growth through alternative livelihood. Livelihood diversification is required to lower the community’s vulnerability level.

• Find out and note business opportunities that can be handled by women in the attempt to enhance domestic economy. Design and facilitate the implementation of domestic economy development activities, and when possible, find market for the main products already designed.

• Identify and together with the community to lobby government authorities for proper management of Citanduy River flow area.

Report on Rapid Risk Assessment in Majingklak and Ciawitali Sub-villages, Pamotan Village Ciamis Distric 1

Chapter-1 Int roduct ion

General Descript ion

Majingklak, one of the sub-villages in Pamotan village, is located in Citanduy river flow area, which in the past few years has been exposed to different hazards, such as flash flood, flood tide and sedimentation that have been going on since 1904. This was worsened by increasing sedimentation at the estuary of Citanduy River and Segara Anakan region in two decades. Based on data, Citanduy river sedimentation resulted in sedimentation as much as 1 million cubic meters annually.

Communities, most of whom depend their livelihood on sea fishery, are much threatened by sedimentation at the estuary of Citanduy River. The lagoon blocked, the ecosystem in it got damaged so there is no longer a place for fish and sea biota to spawn. As a result, fishermen have to go the open sea of the Indian Ocean.

Besides, in the rainy season, this area is lacking in clean water and water for irrigation, as all water resources get depleted at the upper river. Throughout the year, drinking water are obtained by buying or retaining rainwater by very simple means and far from being adequate.

Rehabilitation activities became crucial by providing technical assistance in developing alternative income sources as well as adaptation measures by utilizing sustainable local resources. Rehabilitation scheme must be able to restore the affected community (Penya, 2008) leading them towards self-dependency.

Considering the extensive area of the affected territory, this risk assessment was conducted only in Majingklak and Ciawitali sub-villages, Kalipucang Sub-District, Ciamis District, West Java province. As the two sub-villages are located in the region of Citanduy river estuary and the community’s livelihood is similar to other areas in the southern coast of Java, it could be assumed that the two could serve as a model for the development of livelihood recovery program in other areas.

To develop livelihood recovery program, information was required about the entire condition of the community, including their capacity to cope with disaster impact and develop intervention strategies required in a disaster event. This information could be obtained by means of rapid risk assessment.

Assessment Objectives

• Identify the type and level of hazards.

• Identify the community’s vulnerability level.

• Determine risk level.


• Identify the amount of coping capacities to recover from a disaster event

• Identify what efforts could be made to reduce risk in cooperation with the community based on local characteristics.

Target Location

Sub-villages in Ciamis District, i.e. Majingklak and Ciawitali sub-villages, Pamotan village,

Kalipucang Sub-District, Ciamis District, West Java province.


Chapter 2 Methodology and Techniques Analys is

Assessment Methodology

Target Group

An in-depth interview was conducted with the target group comprising 153 households in Majingklak and 214 households in Ciawitali sub-village to obtain primary data about disaster risk and impact that affected their physical condition as well as their livelihood.

Data Gather ing

Data dikumpulkan dengan menggunakan beberapa metode berikut:

Data was gathered using several methods as follows:

• Observation. Systematic observation and recording of visible elements in a phenomenon or phenomena in the research object (Nawawi, 1990). Hence, the enumerator could directly or indirectly gather indicators of hazards and vulnerability that were happening or had happened in the community, such as environment, livelihood, dangerous points as well as other elements related to this assessment.

• Questionnaire, i.e. a series of questions arranged in such a way to be answered by respondents in the framework of data gathering process in line with the research objectives. The list of questions (appendix 1) was completed by enumerators during the interview with each head or member of the respective households.

• Interview with the community (households), farmer groups, and the local government. In-depth interviews with heads or members of the households, women as well as men, were conducted from house to house. Other sources of information included heads of RW (the second smallest administrative unit), community figures, farmer groups and other stakeholders in the village.

• Transect, whereby enumerators could gather information pertaining to the village topography, land contour, public facilities, physical condition of the buildings and other related data. During the one-week period of data gathering, the enumerator team stayed with local families in the two sub-villages.

• Focused Group Discussion, whereby the enumerator team could obtain a lot of information pertaining to the village development history, disaster event, season calendar, and means of maintaining livelihood that had then been practiced. Besides, this forum could be utilized to confirm the data and/or findings obtained at household level.


Secondary Data

In addition to the primary data obtained by several methods described above, the team also gathered secondary data related to the target group from the village government office and other related institutions.

Data Analysis Techniques

Hazards Analysis

Hazard is defined as an event or circumstance that can give rise to disasters (UU Republik Indonesia No. 24 Tahun 2007 tentang Penanggulangan Bencana). By means of risk analysis we can find out the probability of a certain disaster and the magnitude of its impact on the target group. Hazard level is assested from the frequency of disaster (previously) or the probability of its occurrence (in the future), and its magnitude that had previously been experienced. The formula in hazard level assessment is as follows:

By means of ranking system from 1 (low), 2 (moderate) and 3 (high).

Vulnerabi l i ty Analysis

Vulnerability that in the Legislation of the Republic of Indonesia NO. 24/2007 is called Prone of Disasters is defined as geological, biological, hydrological, climatological, social, cultural, political, economic, and technological condition or characteristics in a certain territory for a certain period of time that reduce the capacities to prevent, suppress, reach disaster preparedness, and reduce the capacity to respond to the negative impact of a certain hazard.

Vulnerability analysis is used to determine the vulnerability level of each household against a certain disaster. For this analysis, the following formula is used:

1. Exposure 2. Fragility

a. Source of Income b. Amount of Income c. Family Work Force d. Assets e. Physical Conditions of house


3. Lack of Resilience a. Educations Level. b. Social Systems.

Risk Analysis

According to Legislation of the Republic of Indonesia No. 24/2007, disaster risk is a potential loss caused by disaster impact in a certain territory and in a certain period of time that could be in the form of death, injury, illness, life threatened, loss of security feeling, evacuation, property damage or loss, and disruption of community activities.

The risk level of the respective households in the target group is measured based on the above variables using the following formula:

Risk = Hazard X Vulnerabi l i ty or

The ranking system used is as follows:

• 0.3 = Low

• 3.1 – 6.0 = Moderate

• 6.1 – 9.0 = High

Appendix 1 and 2 indicate the calculation of risk level of the respective households in the target group.

Risk Map

Hazard map is a map indicating the type and magnitude of hazards in a certain territory. With regard to the two sub-villages (ranking 3).

A risk map is a map indicating the risk level of each household in a certain territory. This map also describes several important facilities available, for example roads, bridges, public facilities, and other resources at risk or having positive value for disaster risk reduction. Risk level is shown based on risk analysis ranking system illustrated in different colors:

• Green = Low

• Yellow = Moderate

• Red = High


Chapter 3 Resu l t o f R isk Ana lys is

Profi le of Maj ingklak and Ciawital i sub-vi l lages

Locat ions and Boundaries:

Majingklak and Ciawitali sub-villages are located 60 km from the centre of Ciamis District governance at the estuary of Citanduy River directly bordering on Nusakambangan islan, Central Java province. The two sub-villages were part of Pamotan village, Kalipucang Sub-District, Ciamis District, West Java province, directly bordering on the following:

At the North : Rawaapu village, Patimuan Sub-District, Cilacap District, Central Java province.

At the East : Nusakambangan island, Cilacap District, Central Java province

At the South : Bagalo village, Kalipucang Sub-District, Ciamis District, West Java province.

At the West : Kalipucang village, Kalipucang Sub-District, Ciamis District, West Java province.

Majingklak sub-village population coming from Cilacap District territory are mostly outsiders who earn their living as fisherman. Since 1950, people have starting moving to this sub-village and as time went by, the number kept increasing, particularly when their travelling place was getting smaller due to sea water inundation.

The biggest problem faced by Majingklak community was the decreasing catch of fish, while cost of living kept on increasing coupled with clean water shortage, whereas people living in Ciawitali sub-village was a bit better off with their agricultural products from rice fields and plantation besides working as fisherman.

Area of sub-vi l lages ter i torry:

The sub-village is 755.3 Ha in area, not including the residents’ agricultural land located outside Majingklak and Ciawitali sub-villages. Nearly most residents of the two sub-villages doing agricultural activities function as landowners as well as farmlands outside the sub-village as the agricultural land is located outside the sub-village territory.


Table 1. Land Area

Land Area/Ha

Land Pamotan Ciawital i Maj ingklak

Rice Field 128 170 57,66

Stateowened land 85 121 105,00

Community Land 60 92 39,70

Stateowened Forest 10 15 -

Community Foresr 132,3 142,95 8,99

Fisheries 1 1,50 1,50

Populat ions

Majingklak population is 659 people in number, comprising 346 men and 313 women. Ciawitali has a population of 1963 people comprising 997 men and 996 women.

Figure 1 The composition of Population based on Gender

Figure 2 Compostion of populations based on aged group.

DUSUN

CIAWITALI

MAJINGKLAK

JUMLAH

Kelompok Umur

0-2 y.o

3-5 y.o

6-12 y.o

13- 15 y.o

16-19 y.o

20-55 y.o

> 55 yo

Lifelihoods

Farmers

Hodge

Labor/Private Sectors Emp

Government Civil Servant

Traders

Breeder

Fishermen

Handyman

KEADAAN JIWAMale Female Total HH

997 996 1963 617

346 313 659 181

1343 1309 2622 798

Majingklak Ciawitali

34 99

24 72

57 172

62 183

54 162

344 1032

86 256

Majingklak CIawitali Majingklak CIawitali

18% 26% 63 190

0% 14% 0 102

2% 3% 6 19

2% 0% 6 3

7% 11% 26 80

1% 12% 2 89

71% 31% 248 221

0% 2% 0 17

351 721

0

250

500

750

1000

997

346

996

313CIAWITALI

MAJINGKLAK

Jumlah Pendududuk Dusun Majingklak dan Ciawitali

Male Female

0

375

750

1125

1500

JIWA

3424 57

6254

344

86

9972 172

183162

1032

2560-2 y.o

3-5 y.o6-12 y.o

13- 15 y.o16-19 y.o

20-55 y.o> 55 yo

Komposisi Penduduk


0% 20% 40% 60% 80%

2%

0%

2%

3%

7%

11%

14%

1%

12%

2%

18%

26%

71%

31%

Majingklak

CIawitali

Chart 25

Government Civil Servant Labor/Private Sectors EmpTraders HodgeBreeder HandymanFarmers Fishermen

DUSUN

CIAWITALI

MAJINGKLAK

JUMLAH

Kelompok Umur

0-2 y.o

3-5 y.o

6-12 y.o

13- 15 y.o

16-19 y.o

20-55 y.o

> 55 yo

Lifelihoods

Farmers

Hodge



Traders

Breeder

Fishermen

Handyman


997 996 1963 617

346 313 659 181

1343 1309 2622 798


34 99

24 72

57 172

62 183

54 162

344 1032

86 256


18% 26% 63 190

0% 14% 0 102

2% 3% 6 19

2% 0% 6 3

7% 11% 26 80

1% 12% 2 89

71% 31% 248 221

0% 2% 0 17

351 721

0

250

500

750

1000

997

346

996

313CIAWITALI

MAJINGKLAK


Male Female

0

375

750

1125

1500

JIWA

3424 57

6254

344

86

9972 172

183162

1032

2560-2 y.o

3-5 y.o6-12 y.o

13- 15 y.o16-19 y.o

20-55 y.o> 55 yo

Komposisi Penduduk


0% 20% 40% 60% 80%

2%

0%

2%

3%

7%

11%

14%

1%

12%

2%

18%

26%

71%

31%

Majingklak

CIawitali

Chart 25



Livel ihoods

Majingklak (71%) and Ciawitali (31%) community in general earn their living from fishery (fish, crabs, cockle shells, and shrimps), while they obtain another source of income from agriculture (Majingklak 18%, Ciawitali 26%), where they work as land owners or farm lands, cultivating different kinds of seasonal commodities.

Fishery, agricultural, and plantation products are usually sold by the community themselves or through middlemen. Other income sources include, among others, trading, animal husbandry (local goats, cows, and poultry), provision of tour transportation service, and others (figure 3).

What is meant by laborers here are those working as fishermen but not having boats of their own, farm hands, people sapping oil palm for sugar, construction who sometimes have to work outside the village, while self-employed include people running their own business, such as fish sellers, hawkers, making snacks, running food stalls, making media for seedlings, and other home industries.

Figure 3. Comparison of the number of livelihood.

DUSUN

CIAWITALI

MAJINGKLAK

JUMLAH

Kelompok Umur

0-2 y.o

3-5 y.o

6-12 y.o

13- 15 y.o

16-19 y.o

20-55 y.o

> 55 yo

Lifelihoods

Farmers

Hodge



Traders

Breeder

Fishermen

Handyman


997 996 1963 617

346 313 659 181

1343 1309 2622 798


34 99

24 72

57 172

62 183

54 162

344 1032

86 256


18% 26% 63 190

0% 14% 0 102

2% 3% 6 19

2% 0% 6 3

7% 11% 26 80

1% 12% 2 89

71% 31% 248 221

0% 2% 0 17

351 721

0

250

500

750

1000

997

346

996

313CIAWITALI

MAJINGKLAK


Male Female

0

375

750

1125

1500

JIWA

3424 57

6254

344

86

9972 172

183162

1032

2560-2 y.o

3-5 y.o6-12 y.o

13- 15 y.o16-19 y.o

20-55 y.o> 55 yo

Komposisi Penduduk


0% 20% 40% 60% 80%

2%

0%

2%

3%

7%

11%

14%

1%

12%

2%

18%

26%

71%

31%

Majingklak

CIawitali

Chart 25



Majingklak and Ciawita l sub-vi l lage Potent ia ls.

Majingklak and Ciawitali sub-villages have the following potentials:

• The majority of the sub-village population own agricultural and plantation land, on the average 2000 m2, including the land located outside the sub-village territory.

• Access roads from several villages with the construction of a harbour (though no longer functional due to sedimentation in the harbor area), which used to provide access to Nusakambangan Island.

Other supporting activities included the following:

1. Community activities as economic support

a) Home industry (snacks)

b) Farmer groups

c) Fisherman groups

2. Educational facilities available in the sub-village vicinity: 3 primary schools/Islamic schools.

3. Health facilities comprising 3 Integrated Service Posts and 1 Subsidiary Post

4. Sub-village institutions, namely PKK (Neighbourhood Woman Assosiation), Karang Taruna (Youth Association), SAR, Farmer Group, Fisherman Groups.

5. Religious facilities: 5 mosques


General Problems:

Results of the Focused Group Discussion (FGD) together with community representatives (community figures, religious personage, parents, and other village elements) revealed a number of major problems faced by Majingklak and Ciawitali sub-villages as follows:

• Lack of sanitation in the sub-village environment

• Unavailability of clean water supply throughout the year, so that residents bad to buy clean water

• Flood tide reaching the residential area

• Sedimentation at the estuary of Citanduy River made it difficult for the fishermen to go to sea, in the waters around the sub-village or to the open sea, particularly at low tide. Besides, coral reef damage caused drastic decrease in their catch, as there were no longer any fish around the harbour or shallow waters.

• Marketing of fishery, agricultural as well as plantation products still relied on middlemen.

• Mangrove forest destruction due to illegal logging.

• Flash flood through Citanduy River.

• Shift in seasons (west/east wind, high and low tide, and variable rain), so that flood or drought could not be predicted.

• Citanduy river abrasion in several areas that brought about conflict among land owner/agricultural workers.

• Unstable supply of animal feed because of weather disturbance that affected different varieties of grass and plants.

• Increasing price of fishery equipment (engines, boats), agricultural tools, seedling, fertilizer and chemicals.

• Farmers still dependent on synthetic fertilizer and chemicals.

• Lack of knowledge of good quality seed cultivation, so that farmers always had to buy seed.

• Lack of information about organic agricultural system and not depending on factories.


Result of Risk Assessment in Majingklak and Ciawital i Sub-vi l lages

Vulnerabi l i ty

Exposure Level

From geographical location viewpoint, the two sub-villages are situated at the estuary of Citanduy River, which is one of the critical river flow areas in Indonesia. This was caused by the decline of land quality with quite high intensity and erosion level that had exceeded the limit of tolerance around 24.0 tons/ha/year (Astuti, Dharmawan, Kumala, & Indrawan, 2008).

It was not surprising that every year the two sub-village territories were flooded by the overflow of Citanduy River. In 2010 only, at least 105 Ha of rice fields within Kalipucang Sub-District underwent harvest failure because of floods (Pikiran Rakyat Online, 2010). From the results of interview and field observation, it was found that when the floods hit the sub-villages, the residential area was inundated up to 20-40cm.

These sub-villages were also exposed to several other hazards, such as flood tide caused by the flowing in of seawater to the land at high tide. This flood tide inundated not only the settlement area but also rice fields, which caused damage to the plants due to high salinity.

Besides floods and flood tide, earthquakes could occur any time, because this area was located in the subduction zone. In 2006, the earthquake in this zone brought about the tsunami disaster that devastated most of the southern coastal region of West Java.

Climate change-related factor also posed hazards to this area, among others strong wind, drought, unpredictable season changes, and in Cilacap waters, the sea level was recorded to be rising 1.30mm/year (Hadikusuma, 1993).

Figure 4. Exposure Level

The data obtained from the risk assessment indicated that 100% families in Majingklak sub-village were exposed to the above hazards, whereas in Ciawitali, most families were at moderate exposure level (76.17%), 7.48% at high, and 16.36% at low exposure level (figure 4).


Fragi l i ty Level

Based on the assessment results, it was found that on the average the two sub-villages were at vulnerable level. In Majingklak sub-village, 59 families or 38.82% were found to be very vulnerable, 82 or 53.95% at vulnerable, and 11 families or 7.24% at low vulnerable level. Meanwhile in Ciawitali sub-village, 49 families or 23.9% were very vulnerable, 154 or 71.96% vulnerable, and 11 families or 5.14% at low vulnerability level. (figure 5)

Figure 5. Fragility Level

This was caused by the limited number of livelihood sources available. Since floods and flood tide had made the land prepared for cultivation become unproductive. As a result, farmers as land owners or agricultural workers suffered a loss. Similarly, fishermen could not go to sea owing to unpredictable weather, whereas catching fish in shallow waters was no longer possible because of sedimentation at the estuary of Citanduy River.

Table 2 Percentages of Majingklak and Ciawitali Sub-village Community’s Income Sources

The limited number of income sources directly affected the sub-village community’s income level. In the FGD it was found that monthly income of Rp. 1,000,000 was just enough to meet basic needs without any amount left for other needs because of the high cost of living in that area. Take for example, since clean water was difficult to obtain, people had to buy clean water that was quite expensive.

Source of Incomes Sub-vi l lages

A lot of Sources Average 1 Income Sources

Majingklak 9% 70% 21% Ciawitali 4% 69% 27%


From figure 6 we could see that on the average, residents of the two villages have and income level below Rp. 1,000,000 a month, while 64.49% of Ciawitali residents earn less than Rp. 1,000,000 a month.

Figure 6 Majingklak and Ciawitali Community’s Income Level

Limited assets also gave significant contribution to fragility level, because if a pressure should occur, it would be difficult for the community to recover from that condition. Household having a lot of resources, investment and networking would have several strategies when needed.

From the data gathered revealed that only 22% of Majingklak community had a lot of assets (houses, 4 wheel vehicles, rice fields as well as gardens), 30% had average assets, and the remaining 47% had very limited assets. In Ciawitali sub-village, 27% had a lot of assets, 50% had average assets, and 23% had very limited assets.

The group owning more assets tended to have varied means of living and hence, at least one of them could help in critical time.

The number of people having employment in each household was another factor that contributed to vulnerability level. The assessment results revealed that 61.84% (figure 7) of the total sample in Majingklak and 48.6% in Ciawitali only had people with employment less than 50% per household. This indicated that on the average, each household had only one person worked as the breadwinner.


Figure 7. Comparison of the number of work force the household

Limited member of employed people per household (< 50%) was one of the factors that triggered fragility, because the smaller the number of people in employment in each household, the more difficult it would be if anything happened to the bread winner. On the other hand, the more employed people available in a household should one of them be out of work, they would still be able to survive as there were still others in the family that could become bread winner.

Exposure of livelihood sources to various hazards, the limited number of employed people in the family, limited assets and the community’s low-income level has contributed to the high fragility level of the two sub-villages.

Lack of Resi l ience Level

Educational level and knowledge constituted one of the factors that affected lack of resilience level (Twigg, 2007). From the assessment results it was found that in Majingklak sub-village only 1.32% family heads had college education and 77.63% were only primary school leavers, not much different from Ciawitali sub-village, where 86-92% only completed primary school education (figure 8).

The low educational level could cause the community to be lacking in resilience against the impact of a disaster due to inadequate knowledge of efforts to immediately recover from the impact, and this condition also made the community become dependent on assistance from the third party.

On the other hand, despite the low level of education on the part of most family heads, the community’s social system played an important role and enhanced the community’s resilience against hazards as well as outside pressures.

The existing system proved to be running well enough as evident from the availability community groups like PKK (Neighbourhood Woman Association), Karang Taruna (Youth Association), farmer and fisherman) groups and several other social activities.

MajingklakCiawitali

Pendapatan

HighAverageLow

Kerapuham

HighModerateLow

Ketidaktahanan

HighModerateLow

Kerentanan

HighModerateLow

Ancaman

HighModerateLow

Resiko

HighModerateLow

Exposure

HighModerateLow

Tingkat Pendidikan

Elementary SchoolHigh SchoolUniverity

Angkatan Kerja

LowModerateLots

Majingklak Ciawitali27.63% 23.36%3.29% 12.15%

69.08% 64.49%

Majingklak Ciawitali38.82% 22.90%53.95% 71.96%7.24% 5.14%

Majingklak Ciawitali0.00% 0.00%

77.63% 86.92%22.37% 13.08%



100.00% 22.43%0.00% 77.57%



0.00% 76.17%0.00% 16.36%


21.05% 12.62%1.32% 0.47%


% Tingkat P

endap

atan

27.63%

3.29%

69.08%

23.36%

12.15%

64.49%

HighAverage

Low

Tingkat Pendapatan Masyarakat


% Tingkat K

erapuhan

38.82%

22.90%

53.95%

71.96%

7.24%

5.14%

Majingklak

Ciawitali

Tingkat Kerapuhan Masyarakat

High Moderate Low

% Tingkat K

etidaktahanan

77.63%86.92%

22.37%

13.08%Majingklak

Ciawitali

Tingkat Ketidaktahanan Masyarakat

High Moderate Low

% Tingkat K

erentanan

34.21%

0.47%

65.79%

97.20%

2.34%Majingklak

Ciawitali

Tingkat Kerentanan Masyarakat

High Moderate Low

% T

ingkat A

ncaman

100.00%

22.43%

77.57%

Majingklak

Ciawitali

Tingkat Ancaman Terhadap Masyarakat

High Moderate Low

% Tingkat R

esiko

47.37% 52.63%61.21%

38.79%

Majingklak

Ciawitali

Tingkat Resiko Masyarakat

High Moderate Low

100.00%

7.48%

76.17%

16.36%Majingklak

Ciawitali

Tingkat Exposure

High Moderate Low

77.63% 86.92%

21.05%

12.62%

1.32%

0.47%Majingklak

Ciawitali

Tingkat Pendidikan

Elementary School High School Univerity

61.84%

48.60%

28.29%34.11%

9.87%17.29%

MajingklakCiawitali

Angkatan Kerja

Low Moderate Lots


Figure 8. Comparison of Family Heads’ Educational Level in Majingklak and Ciawitali sub-villages

From the results of data gathering in the field and analysis, 77.63% households in Majingklak and 86.92% in Ciawitali sub-village were found to be at moderate lack of resilience level.

The smooth running of the community’s social system proved to be able to lower the sub-village community’s lack of resilience level, though most of the people had only primary school education.

Figure 9. Comparison of the Community’s Lack of Resilience Level

Figure 10 Vulnerability Level of Each Family Head in Majingklak and Ciawitali Sub-villages

MajingklakCiawitali

Pendapatan

HighAverageLow

Kerapuham

HighModerateLow

Ketidaktahanan

HighModerateLow

Kerentanan

HighModerateLow

Ancaman

HighModerateLow

Resiko

HighModerateLow

Exposure

HighModerateLow

Tingkat Pendidikan


Angkatan Kerja

LowModerateLots


69.08% 64.49%



77.63% 86.92%22.37% 13.08%



100.00% 22.43%0.00% 77.57%



0.00% 76.17%0.00% 16.36%


21.05% 12.62%1.32% 0.47%


% Tingkat P

endap

atan

27.63%

3.29%

69.08%

23.36%

12.15%

64.49%

HighAverage

Low



% Tingkat K

erapuhan

38.82%

22.90%

53.95%

71.96%

7.24%

5.14%

Majingklak

Ciawitali


High Moderate Low

% Tingkat K

etidaktahanan

77.63%86.92%

22.37%

13.08%Majingklak

Ciawitali


High Moderate Low

% Tingkat K

erentanan

34.21%

0.47%

65.79%

97.20%

2.34%Majingklak

Ciawitali


High Moderate Low

% T

ingkat A

ncaman

100.00%

22.43%

77.57%

Majingklak

Ciawitali


High Moderate Low

% Tingkat R

esiko

47.37% 52.63%61.21%

38.79%

Majingklak

Ciawitali


High Moderate Low

100.00%

7.48%

76.17%

16.36%Majingklak

Ciawitali

Tingkat Exposure

High Moderate Low

77.63% 86.92%

21.05%

12.62%

1.32%

0.47%Majingklak

Ciawitali

Tingkat Pendidikan


61.84%

48.60%

28.29%34.11%

9.87%17.29%

MajingklakCiawitali

Angkatan Kerja

Low Moderate Lots

MajingklakCiawitali

Pendapatan

HighAverageLow

Kerapuham

HighModerateLow

Ketidaktahanan

HighModerateLow

Kerentanan

HighModerateLow

Ancaman

HighModerateLow

Resiko

HighModerateLow

Exposure

HighModerateLow

Tingkat Pendidikan


Angkatan Kerja

LowModerateLots


69.08% 64.49%



77.63% 86.92%22.37% 13.08%



100.00% 22.43%0.00% 77.57%



0.00% 76.17%0.00% 16.36%


21.05% 12.62%1.32% 0.47%


% Tingkat P

endap

atan

27.63%

3.29%

69.08%

23.36%

12.15%

64.49%

HighAverage

Low



% Tingkat K

erapuhan

38.82%

22.90%

53.95%

71.96%

7.24%

5.14%

Majingklak

Ciawitali


High Moderate Low

% Tingkat K

etidaktahanan

77.63%86.92%

22.37%

13.08%Majingklak

Ciawitali


High Moderate Low

% Tingkat K

erentanan

34.21%

0.47%

65.79%

97.20%

2.34%Majingklak

Ciawitali


High Moderate Low

% T

ingkat A

ncaman

100.00%

22.43%

77.57%

Majingklak

Ciawitali


High Moderate Low

% Tingkat R

esiko

47.37% 52.63%61.21%

38.79%

Majingklak

Ciawitali


High Moderate Low

100.00%

7.48%

76.17%

16.36%Majingklak

Ciawitali

Tingkat Exposure

High Moderate Low

77.63% 86.92%

21.05%

12.62%

1.32%

0.47%Majingklak

Ciawitali

Tingkat Pendidikan


61.84%

48.60%

28.29%34.11%

9.87%17.29%

MajingklakCiawitali

Angkatan Kerja

Low Moderate Lots

MajingklakCiawitali

Pendapatan

HighAverageLow

Kerapuham

HighModerateLow

Ketidaktahanan

HighModerateLow

Kerentanan

HighModerateLow

Ancaman

HighModerateLow

Resiko

HighModerateLow

Exposure

HighModerateLow

Tingkat Pendidikan


Angkatan Kerja

LowModerateLots


3.29% 12.15%69.08% 64.49%


7.24% 5.14%


77.63% 86.92%22.37% 13.08%


0.00% 2.34%


100.00% 22.43%0.00% 77.57%


0.00% 38.79%


0.00% 76.17%0.00% 16.36%


21.05% 12.62%1.32% 0.47%


9.87% 17.29%

% Tingkat P

endap

atan

27.63%

3.29%

69.08%

23.36%

12.15%

64.49%

HighAverage

Low



% Tingkat K

erapuhan

38.82%

22.90%

53.95%

71.96%

7.24%

5.14%

Majingklak

Ciawitali


High Moderate Low

% Tingkat K

etidaktahanan

77.63%86.92%

22.37%

13.08%Majingklak

Ciawitali


High Moderate Low

% Tingkat K

erentanan

34.21%

0.47%

65.79%

97.20%

2.34%Majingklak

Ciawitali


High Moderate Low

% T

ingkat A

ncaman

100.00%

22.43%

77.57%

Majingklak

Ciawitali


High Moderate Low

% Tingkat R

esiko

47.37% 52.63%61.21%

38.79%

Majingklak

Ciawitali


High Moderate Low

100.00%

7.48%

76.17%

16.36%Majingklak

Ciawitali

Tingkat Exposure

High Moderate Low

77.63% 86.92%

21.05%

12.62%

1.32%

0.47%Majingklak

Ciawitali

Tingkat Pendidikan


61.84%

48.60%

28.29%34.11%

9.87%17.29%

MajingklakCiawitali

Angkatan Kerja

Low Moderate Lots


High exposure to a certain hazard of a community, most of who were fragile and lacking in resilience against that hazard, made them became vulnerable, and even very vulnerable. The assessment results indicated that the sub-village community was at vulnerable (Majingklak 65.79%, Ciawitali 97.02%) and very vulnerable level (Majingklak 34.21%, Ciawitali 0.47%). Only 2.34% family heads in Ciawitali sub-village were not vulnerable (figure 10).

Hazard

The Focused Group Discussion also revealed that the two sub-villages had been experiencing a lot of hazards since 1970s, which became even worse with the shallowing of estuary of Citanduy River. In addition, several great disasters like Pangandaran tsunami, Tasikmalaya and Cilacap earthquakes once almost completely destroyed the southern coastal area of West Java, the two sub-villages included.

Geographically, the two sub-villages are situated in earthquake and tsunami prone area (BNPB map), as they located in the subduction zone where earthquakes might occur any time.

Results of the identification of disaster events that happened in the two sub-villages recorded by the local community during FGD were listed below (table 3).

Table 3. List of Disasters

NO YEAR DESCRIPTION

1 1970 -1980 Cyclone (10 houses damaged) 2 1980s Citanduy river abrasion

3 1982 to date

• Shallowing (after Mt. Galunggung eruption) • Fish catching area getting farther to the open sea • Fish getting scarcer • Huge waves at Relawangan

4 1996 9 month drought 5 2000s Sea water intrusion (30 metres) 6 2006 Tsunami 7 2009 Tasikmalaya earthquake

8 2010 - 2011

• Cilacap earthquake • Storm • Floods 2x every year (1 x day time and 2x night time) • Inundating houses 30cm • Sea tide • Heavy rain (sea tide, Citanduy river overflowing), floods in Ma-

jingklak

9 Every year West wind, fishermen could not going to sea for 1 month (Feb – March)

10 Every year East wind, huge waves, drought, tidal waves (June-September).

Besides using record of disaster events to identify the hazard level of the two communities, the assessment team also made analysis of the impact of hazards on the groups of livelihood, to find out and identify which ones were affected by climate related and disaster risks.


Table 4 Analysis of the Impact of Hazards on Group of livelihood

The data used in the analysis of the impact of hazards on groups of livelihood were obtained during FGD that was conducted together with the community who directly experienced the impact of hazards on their livelihood.

From table 4 we could see that the groups of livelihood most affected by climate as well as non-climate hazards were agriculture, sea fishery, and small traders. From the above index, we could see that the redder the index value was, the climate as well as non-climate hazards had considerable impact on the groups of livelihood concerned. Conversely, the greener the index value was, the groups of livelihood concerned were not affected by hazards.

Table 5 Season Calendar of Sea Fishery Activities in Majingklak Its Surrounding Area

Most of Majingklak residents relied on fish catching as their source of income. Other similar activities could only be done for three months, from September through November (table 5). This condition was worsened by unpredictable wind and weather recently and ongoing sedimentation at the estuary of Citanduy River, which was the only fishermen’s access to the catching area. To deal with this, the people usually did activities other than fishery, such as


growing crops on the existing land or becoming workers. Agricultural activities themselves were not free from weather change pressure.

Table 6 indicated that besides changing weather, the number and kinds of diseases attacking agricultural commodities were also more varied and on the increase. This condition made it more difficult for farmers to take care of the plants. It was always possible that the coming pest and diseases could not be predicted, and as a result, the use of pesticide became ineffective. Moreover, climate change also had negative impact. Too heavy rainfall would cause planting and harvest failure, while sea water intrusion would render agricultural land uncultivable.

Table 6 Season Calendars of Agricultural Activities in Rawa Apu. Condition after changes occurred

Besides the above points, from the assessment results it was found that the whole communities in Majingklak sub-village were 91.45% at high level (posed to direct hazards). This was caused by the location of the residential area and the place they did their activities to earn their living was located at the coastal area and close to the estuary of Citanduy River. While Ciawitali sub-village community whose residential area was located farther from the coastal area and the estuary of Citanduy River, 92.99% were also found to be at high level of direct pose of hazards (figure 11).

Figure 11. Risk Level at Majingklak and Ciawitali sub-village based on Risk Analysis

0%

25.00%

50.00%

75.00%

100.00%91.45% 92.99%

8.55%

7.01%Majingklak

Ciawitali

Hazards

HighModerateLow

0%

25.00%

50.00%

75.00%

100.00%90.79%

49.07%

9.21%

50.93%

MajingklakCiawitali

Risk

HighModerateLow


Risk Level

The results of the assessment and analysis indicated that families residing in this village, whether in or not in the coastal area or not, were at high-risk level, in Majingklak 90.79% as well as in Ciawitali 49.07%.

Figure 12. Risk per Household at Majingklak and Ciawitali sub-village.

The high-risk level in this area was mainly due to the geographical location of Pamotan village territory, which had high exposure level (in Majingklak sub-village, even all families were exposed or 100% exposure) and the high level of hazards, particularly to several main livelihoods the community were engaged in. The livelihood most affected by hazards brought about by nature or climates were fishery and agriculture (Table 4).

Based on FGD, climate change proved to have contributed to the high level of hazards to the community’s sources of livelihood (Table 5 and Table 6).

The existing data revealed that although the two sub-villages were at risk, Majinkglak had a higher risk than Ciawitali. This was caused by the fact that most families residing in Majingklak sub-village were of low-income level and did not have many livelihood sources. The low educational level and limited number of employed people in the family also contributed to the high-risk level of Majingklak sub-village.

0%

25.00%

50.00%

75.00%

100.00%91.45% 92.99%

8.55%

7.01%Majingklak

Ciawitali

Hazards

HighModerateLow

0%

25.00%

50.00%

75.00%

100.00%90.79%

49.07%

9.21%

50.93%

MajingklakCiawitali

Risk

HighModerateLow


Chapter 4 Conclut ion and Recommendat ion

Conclutions:

• The residential area and the place where they worked to earn their living were located in the coastal area and close to the estuary of Citanduy river causing Majingklak and Ciawitali sub-village community to be at very high hazard level.

• Several hazards identified were: flood tide caused by sea water intrusion into the land because of high tide inundating residential area and ricefield clusters, earthquakes since this area is located in the subduction zone and tsunami.

• Families that were part of Majingklak and Ciawitali sub-village community were found to be vulnerable with moderate-high vulnerability level.

• Limited number of income sources directly influenced Majingklak and Ciawitali community’s income level.

• At household level, the two sub-villages were found to be at moderate vulnerability level.

• Limited assets and family heads’ low educational level made the families’ vulnerability become high (at moderate level)

• Majingklak and Ciawitali sub-village community were lacking in resilience against exernal hazards as well as pressures. For this reason, the community’s capacity needs to be improved, especially in the efforts to reduce disaster risk and adapt to existing environment and when the disaster was over, they could attempt to resume their work to meet their needs. (Penya, 2008).

• The community’s social system played very important role, particularly in the process of increasing the community’s resilience.

• Risk at family level in both villages was found to be at moderate – high level

Recommendations:

Hence our recommendations for the two sub-villages were related to the community’s livelihood recovery through the following activities:

• On the farm school is one of the means to facilitate changes in agricultural pattern, whereby farmers could learn to supply seed, apply proper planting method, provide fertilizer and organic pesticide. Dependence on middlemen could be reduced when farmers are able to become self-dependent.

• Study of potential resources and analysis of the latest condition in the Rapid Assessment location is required to find out the extent of the hazard impact and predict future condition.


• Facilitate the efforts to restore the mangrove forest with shifted function by emphasizing the community’s involvement.

• Enhance economic growth through alternative livelihoods, livelihood diversification needs to be attempted at to reduce the community’s vulnerability level.

• On the look out for and record business opportunities that could be handled by woman in the attempt to promote domestic economy. Design and facilitate the implementation of domestic economy development activities, and when possible, find a market for the designed product.

• Encourage the community to be willing and able to improve clean water facilities that will eventually lead to the improvement of sanitation in the two sub-villages.

• Identify and together with the community lobby government authorities for the management of Citanduy River flow area.

Report on Rapid Risk Assessment in Majingklak and Ciawitali Sub-villages, Pamotan Village Ciamis Distric xi

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Report on Rapid Risk Assessment in Majingklak and Ciawitali Sub-villages, Pamotan Village Ciamis Distric xiii

Appendices

Report on Rapid Risk Assessment in Majingklak and Ciawitali Sub-villages, Pamotan Village Ciamis Distric xiv

1 . R isk Ana lys is Tables

Analisis Ciawitali

RISK1 - 3 3,1 - 6 6,1 - 9

Source of Incobe

Total Income

Labor Force/House

holdAssets

Physical Conditions of House

Educational Level

Social Systems

Total AverageLoR

CategoryLow Moderate High

a b c d e f g h h=(d+e+f+g+h) i=(d+e+f+g+h)/5

k l m=k+l n=(k+l)/2 o=c+i+n p=o/3 q r s=q+r t=s/2 u=pXt

1 AMUN 900,000Rp Ciawitali 2 2 3 2 2 1 10 2 2 3 1 4 2 2.0 6.0 2.0 2 3 3 6.0 3.00 3.00 6.0 MODERATE2 TINI 900,000Rp Ciawitali 2 2 3 3 2 1 11 2.2 2 3 1 4 2 2.0 6.2 2.1 2 3 3 6.0 3.00 3.00 6.2 HIGH3 TARMIDI 850,000Rp Ciawitali 2 2 3 3 1 2 11 2.2 2 3 1 4 2 2.0 6.2 2.1 2 3 3 6.0 3.00 3.00 6.2 HIGH4 DEDE DANI 1,200,000Rp Ciawitali 2 2 1 2 2 2 9 1.8 2 2 1 3 1.5 1.0 5.3 1.8 2 3 3 6.0 3.00 3.00 5.3 MODERATE5 RUMIDI 900,000Rp Ciawitali 2 2 3 2 2 2 11 2.2 2 3 1 4 2 2.0 6.2 2.1 2 3 3 6.0 3.00 3.00 6.2 HIGH6 TATANG 1,200,000Rp Ciawitali 2 2 1 3 2 2 10 2 2 3 1 4 2 2.0 6.0 2.0 2 3 3 6.0 3.00 3.00 6.0 MODERATE7 WARSONO 900,000Rp Ciawitali 2 2 3 2 3 2 12 2.4 2 3 1 4 2 2.0 6.4 2.1 2 3 3 6.0 3.00 3.00 6.4 HIGH8 ADMAN 1,500,000Rp Ciawitali 2 2 1 3 1 1 8 1.6 2 3 1 4 2 2.0 5.6 1.9 2 3 3 6.0 3.00 3.00 5.6 MODERATE9 WARDI 1,500,000Rp Ciawitali 2 2 1 2 2 2 9 1.8 2 3 1 4 2 2.0 5.8 1.9 2 3 3 6.0 3.00 3.00 5.8 MODERATE10 JASMAN 1,200,000Rp Ciawitali 2 2 1 2 2 2 9 1.8 2 3 1 4 2 2.0 5.8 1.9 2 3 3 6.0 3.00 3.00 5.8 MODERATE11 WATNO 650,000Rp Ciawitali 2 2 3 3 1 1 10 2 2 3 1 4 2 2.0 6.0 2.0 2 3 3 6.0 3.00 3.00 6.0 MODERATE12 ACENG 1,200,000Rp Ciawitali 2 2 1 2 2 3 10 2 2 2 1 3 1.5 1.0 5.5 1.8 2 3 3 6.0 3.00 3.00 5.5 MODERATE13 DASIM 500,000Rp Ciawitali 2 2 3 3 2 2 12 2.4 2 3 1 4 2 2.0 6.4 2.1 2 3 3 6.0 3.00 3.00 6.4 HIGH14 TASMINIDI 900,000Rp Ciawitali 2 2 3 3 2 3 13 2.6 3 3 1 4 2 2.0 6.6 2.2 2 3 3 6.0 3.00 3.00 6.6 HIGH15 GINEM 900,000Rp Ciawitali 2 2 3 3 2 3 13 2.6 3 3 1 4 2 2.0 6.6 2.2 2 3 3 6.0 3.00 3.00 6.6 HIGH16 SUBARDI 900,000Rp Ciawitali 2 2 3 2 2 3 12 2.4 2 2 1 3 1.5 1.0 5.9 2.0 2 3 3 6.0 3.00 3.00 5.9 MODERATE17 NYCAN 1,500,000Rp Ciawitali 2 2 1 3 2 2 10 2 2 3 1 4 2 2.0 6.0 2.0 2 3 3 6.0 3.00 3.00 6.0 MODERATE18 KARSIM 1,200,000Rp Ciawitali 2 2 1 2 2 3 10 2 2 3 1 4 2 2.0 6.0 2.0 2 3 3 6.0 3.00 3.00 6.0 MODERATE19 INDRA 1,800,000Rp Ciawitali 2 2 1 2 2 2 9 1.8 2 2 1 3 1.5 1.0 5.3 1.8 2 3 3 6.0 3.00 3.00 5.3 MODERATE20 DADI 900,000Rp Ciawitali 2 2 3 3 2 3 13 2.6 3 2 1 3 1.5 1.0 6.1 2.0 2 3 3 6.0 3.00 3.00 6.1 HIGH21 MIRAN 900,000Rp Ciawitali 2 2 3 2 2 1 10 2 2 2 1 3 1.5 1.0 5.5 1.8 2 3 3 6.0 3.00 3.00 5.5 MODERATE22 HERMAN 1,000,000Rp Ciawitali 1 2 2 3 2 3 12 2.4 2 2 1 3 1.5 1.0 4.9 1.6 2 3 3 6.0 3.00 3.00 4.9 MODERATE23 MUHIDIN 1,200,000Rp Ciawitali 2 2 1 3 1 1 8 1.6 2 3 1 4 2 2.0 5.6 1.9 2 3 3 6.0 3.00 3.00 5.6 MODERATE24 RANIS 1,000,000Rp Ciawitali 2 2 2 2 3 3 12 2.4 2 3 1 4 2 2.0 6.4 2.1 2 3 3 6.0 3.00 3.00 6.4 HIGH25 NURSIN 500,000Rp Ciawitali 2 2 3 3 2 3 13 2.6 3 3 1 4 2 2.0 6.6 2.2 2 3 3 6.0 3.00 3.00 6.6 HIGH26 KACID 450,000Rp Ciawitali 2 2 3 2 1 1 9 1.8 2 3 1 4 2 2.0 5.8 1.9 2 3 3 6.0 3.00 3.00 5.8 MODERATE27 SAHIDIN 1,100,000Rp Ciawitali 2 2 1 2 1 1 7 1.4 1 2 1 3 1.5 1.0 4.9 1.6 2 3 3 6.0 3.00 3.00 4.9 MODERATE28 KOMAR 900,000Rp Ciawitali 2 2 3 3 2 3 13 2.6 3 2 1 3 1.5 1.0 6.1 2.0 2 3 3 6.0 3.00 3.00 6.1 HIGH29 WAGIMAN 1,200,000Rp Ciawitali 3 2 1 3 1 1 8 1.6 2 2 1 3 1.5 1.0 6.1 2.0 2 3 3 6.0 3.00 3.00 6.1 HIGH30 DARYONO 900,000Rp Ciawitali 2 2 3 1 1 1 8 1.6 2 2 1 3 1.5 1.0 5.1 1.7 2 3 3 6.0 3.00 3.00 5.1 MODERATE31 SAWON 1,200,000Rp Ciawitali 2 2 1 2 1 1 7 1.4 1 3 1 4 2 2.0 5.4 1.8 2 3 3 6.0 3.00 3.00 5.4 MODERATE32 SIMIN 900,000Rp Ciawitali 2 2 3 3 2 1 11 2.2 2 3 1 4 2 2.0 6.2 2.1 2 3 3 6.0 3.00 3.00 6.2 HIGH33 DAHIL 1,200,000Rp Ciawitali 2 2 1 3 2 3 11 2.2 2 3 1 4 2 2.0 6.2 2.1 2 3 3 6.0 3.00 3.00 6.2 HIGH34 UMAR 900,000Rp Ciawitali 2 2 3 3 2 1 11 2.2 2 3 1 4 2 2.0 6.2 2.1 2 3 3 6.0 3.00 3.00 6.2 HIGH35 RASIDI 900,000Rp Ciawitali 2 2 3 1 2 1 9 1.8 2 3 1 4 2 2.0 5.8 1.9 2 3 3 6.0 3.00 3.00 5.8 MODERATE36 AHMAD 1,000,000Rp Ciawitali 2 2 2 2 2 3 11 2.2 2 3 1 4 2 2.0 6.2 2.1 2 3 3 6.0 3.00 3.00 6.2 HIGH37 ATEP 900,000Rp Ciawitali 1 2 3 2 3 2 12 2.4 2 3 1 4 2 2.0 5.4 1.8 2 3 3 6.0 3.00 3.00 5.4 MODERATE38 ROBLIN 1,000,000Rp Ciawitali 2 2 2 3 1 1 9 1.8 2 3 1 4 2 2.0 5.8 1.9 2 3 3 6.0 3.00 3.00 5.8 MODERATE39 ELI 900,000Rp Ciawitali 1 2 3 3 3 2 13 2.6 3 3 1 4 2 2.0 5.6 1.9 2 3 3 6.0 3.00 3.00 5.6 MODERATE40 SARDI 3,000,000Rp Ciawitali 1 2 1 3 1 2 9 1.8 2 3 1 4 2 2.0 4.8 1.6 2 3 3 6.0 3.00 3.00 4.8 MODERATE41 MUZSIDI 900,000Rp Ciawitali 1 2 3 2 2 2 11 2.2 2 3 1 4 2 2.0 5.2 1.7 2 3 3 6.0 3.00 3.00 5.2 MODERATE42 SOPAN SUPIAN 1,500,000Rp Ciawitali 2 2 1 1 1 2 7 1.4 1 2 1 3 1.5 1.0 4.9 1.6 2 3 3 6.0 3.00 3.00 4.9 MODERATE43 IRWAN 1,500,000Rp Ciawitali 2 2 1 3 2 3 11 2.2 2 3 1 4 2 2.0 6.2 2.1 2 3 3 6.0 3.00 3.00 6.2 HIGH44 SATIMAH 800,000Rp Ciawitali 1 2 3 1 2 2 10 2 2 3 1 4 2 2.0 5.0 1.7 2 3 3 6.0 3.00 3.00 5.0 MODERATE45 UCU 750,000Rp Ciawitali 2 2 3 2 2 1 10 2 2 3 1 4 2 2.0 6.0 2.0 2 3 3 6.0 3.00 3.00 6.0 MODERATE46 RASIM 800,000Rp Ciawitali 2 2 3 2 1 2 10 2 2 3 1 4 2 2.0 6.0 2.0 2 3 3 6.0 3.00 3.00 6.0 MODERATE47 SAHIDIN 900,000Rp Ciawitali 2 2 3 2 1 1 9 1.8 2 3 1 4 2 2.0 5.8 1.9 2 3 3 6.0 3.00 3.00 5.8 MODERATE48 SAWIYEM 500,000Rp Ciawitali 2 2 3 1 3 3 12 2.4 2 3 1 4 2 2.0 6.4 2.1 2 3 3 6.0 3.00 3.00 6.4 HIGH49 MISLAM 1,000,000Rp Ciawitali 1 2 2 3 1 1 9 1.8 2 3 1 4 2 2.0 4.8 1.6 2 3 3 6.0 3.00 3.00 4.8 MODERATE50 RAHMAN 1,000,000Rp Ciawitali 3 2 2 1 1 3 9 1.8 2 3 1 4 2 2.0 6.8 2.3 2 3 3 6.0 3.00 3.00 6.8 HIGH51 KISWO 900,000Rp Ciawitali 1 2 3 3 2 3 13 2.6 3 3 1 4 2 2.0 5.6 1.9 2 3 3 6.0 3.00 3.00 5.6 MODERATE52 SATUN 1,000,000Rp Ciawitali 3 2 2 3 2 3 12 2.4 2 3 1 4 2 2.0 7.4 2.5 2 3 3 6.0 3.00 3.00 7.4 HIGH53 KHOLIJAH 500,000Rp Ciawitali 3 2 3 3 2 2 12 2.4 2 3 1 4 2 2.0 7.4 2.5 2 3 3 6.0 3.00 3.00 7.4 HIGH54 MANISAH 500,000Rp Ciawitali 2 2 3 3 2 2 12 2.4 2 3 1 4 2 2.0 6.4 2.1 2 3 3 6.0 3.00 3.00 6.4 HIGH55 SEMAN 1,000,000Rp Ciawitali 2 2 2 2 2 2 10 2 2 3 1 4 2 2.0 6.0 2.0 2 3 3 6.0 3.00 3.00 6.0 MODERATE56 JUAN 900,000Rp Ciawitali 2 2 3 3 3 2 13 2.6 3 3 1 4 2 2.0 6.6 2.2 2 3 3 6.0 3.00 3.00 6.6 HIGH57 MISNO 1,500,000Rp Ciawitali 2 2 1 1 1 1 6 1.2 1 3 1 4 2 2.0 5.2 1.7 2 3 3 6.0 3.00 3.00 5.2 MODERATE58 DEDE PRIYANTO 1,500,000Rp Ciawitali 2 2 1 2 2 1 8 1.6 2 2 1 3 1.5 1.0 5.1 1.7 2 3 3 6.0 3.00 3.00 5.1 MODERATE59 OKOY 600,000Rp Ciawitali 2 2 3 3 2 1 11 2.2 2 3 1 4 2 2.0 6.2 2.1 2 3 3 6.0 3.00 3.00 6.2 HIGH60 MISNAN 900,000Rp Ciawitali 1 2 3 2 2 3 12 2.4 2 3 1 4 2 2.0 5.4 1.8 2 3 3 6.0 3.00 3.00 5.4 MODERATE61 RUKMINI 500,000Rp Ciawitali 2 2 3 3 2 1 11 2.2 2 3 1 4 2 2.0 6.2 2.1 2 3 3 6.0 3.00 3.00 6.2 HIGH62 GAMUN 1,500,000Rp Ciawitali 1 2 1 1 1 2 7 1.4 1 3 1 4 2 2.0 4.4 1.5 1 3 3 6.0 3.00 3.00 4.4 MODERATE63 WATNO 1,500,000Rp Ciawitali 1 2 1 3 2 2 10 2 2 3 1 4 2 2.0 5.0 1.7 2 3 3 6.0 3.00 3.00 5.0 MODERATE64 JUM'AN 900,000Rp Ciawitali 1 2 3 3 1 2 11 2.2 2 3 1 4 2 2.0 5.2 1.7 2 3 3 6.0 3.00 3.00 5.2 MODERATE65 ATING 900,000Rp Ciawitali 1 2 3 3 2 1 11 2.2 2 3 1 4 2 2.0 5.2 1.7 2 3 3 6.0 3.00 3.00 5.2 MODERATE66 TURAHMAN 1,500,000Rp Ciawitali 3 2 1 3 1 1 8 1.6 2 3 1 4 2 2.0 6.6 2.2 2 3 3 6.0 3.00 3.00 6.6 HIGH67 SAHINDI 900,000Rp Ciawitali 2 2 3 2 2 2 11 2.2 2 3 1 4 2 2.0 6.2 2.1 2 3 3 6.0 3.00 3.00 6.2 HIGH68 SUGENG 1,500,000Rp Ciawitali 2 2 1 2 2 2 9 1.8 2 3 1 4 2 2.0 5.8 1.9 2 3 3 6.0 3.00 3.00 5.8 MODERATE69 WARSITO 2,250,000Rp Ciawitali 1 2 1 3 1 2 9 1.8 2 3 1 4 2 2.0 4.8 1.6 2 3 3 6.0 3.00 3.00 4.8 MODERATE70 WAWAN H 1,500,000Rp Ciawitali 2 2 1 3 2 1 9 1.8 2 3 1 4 2 2.0 5.8 1.9 2 3 3 6.0 3.00 3.00 5.8 MODERATE71 ROSADI 1,000,000Rp Ciawitali 2 2 2 3 2 1 10 2 2 3 1 4 2 2.0 6.0 2.0 2 3 3 6.0 3.00 3.00 6.0 MODERATE72 JUM'AN CNE 900,000Rp Ciawitali 1 2 3 2 2 2 11 2.2 2 3 1 4 2 2.0 5.2 1.7 2 3 3 6.0 3.00 3.00 5.2 MODERATE73 TUKIMIN 1,500,000Rp Ciawitali 2 2 1 1 1 3 8 1.6 2 3 1 4 2 2.0 5.6 1.9 2 3 3 6.0 3.00 3.00 5.6 MODERATE74 SAPON 1,200,000Rp Ciawitali 2 2 1 2 1 2 8 1.6 2 3 1 4 2 2.0 5.6 1.9 2 3 3 6.0 3.00 3.00 5.6 MODERATE75 ADE R 900,000Rp Ciawitali 2 2 3 3 1 2 11 2.2 2 3 1 4 2 2.0 6.2 2.1 2 3 3 6.0 3.00 3.00 6.2 HIGH76 MUHTAR 950,000Rp Ciawitali 2 2 3 2 1 1 9 1.8 2 3 1 4 2 2.0 5.8 1.9 2 3 3 6.0 3.00 3.00 5.8 MODERATE77 SAIMUN 900,000Rp Ciawitali 2 2 3 3 2 2 12 2.4 2 3 1 4 2 2.0 6.4 2.1 2 3 3 6.0 3.00 3.00 6.4 HIGH78 BASRI 700,000Rp Ciawitali 2 2 3 2 2 3 12 2.4 2 3 1 4 2 2.0 6.4 2.1 2 3 3 6.0 3.00 3.00 6.4 HIGH79 YULIANTO 1,200,000Rp Ciawitali 2 2 1 3 2 2 10 2 2 3 1 4 2 2.0 6.0 2.0 2 3 3 6.0 3.00 3.00 6.0 MODERATE80 TURMAN 900,000Rp Ciawitali 2 2 3 2 3 3 13 2.6 3 3 1 4 2 2.0 6.6 2.2 2 3 3 6.0 3.00 3.00 6.6 HIGH81 SAMAN 850,000Rp Ciawitali 2 2 3 3 1 3 12 2.4 2 3 1 4 2 2.0 6.4 2.1 2 3 3 6.0 3.00 3.00 6.4 HIGH82 KASRI 1,125,000Rp Ciawitali 2 2 1 2 3 3 11 2.2 2 3 1 4 2 2.0 6.2 2.1 2 3 3 6.0 3.00 3.00 6.2 HIGH

Average (E+F+R/3)

Frequency Magnitude Average

VULNERABILITY

Total

RISK CATEGORY

Exposure

FRAGILITY

Total Average

LACK OF RESILIENCE

Total E + F +R

HAZARD

Fragility Category

Vulnerability Category

Hazard Category

RISK ANALISYSCiawitali

No. House hold Montly Income Sub-VillageV x H

Analisis Ciawitali

RISK1 - 3 3,1 - 6 6,1 - 9

Source of Incobe

Total Income

Labor Force/House

holdAssets


Educational Level

Social Systems

Total AverageLoR




Average (E+F+R/3)


VULNERABILITY

Total

RISK CATEGORY

Exposure

FRAGILITY

Total Average

LACK OF RESILIENCE

Total E + F +R

HAZARD

Fragility Category


Hazard Category



83 TUMIRAH 900,000Rp Ciawitali 2 2 3 1 3 1 10 2 2 3 1 4 2 2.0 6.0 2.0 2 3 3 6.0 3.00 3.00 6.0 MODERATE84 TUSINO 700,000Rp Ciawitali 2 2 3 2 2 2 11 2.2 2 2 1 3 1.5 1.0 5.7 1.9 2 3 3 6.0 3.00 3.00 5.7 MODERATE85 MARNO 900,000Rp Ciawitali 2 2 3 2 2 2 11 2.2 2 3 1 4 2 2.0 6.2 2.1 2 3 3 6.0 3.00 3.00 6.2 HIGH86 MISDI 850,000Rp Ciawitali 2 2 3 3 2 3 13 2.6 3 3 1 4 2 2.0 6.6 2.2 2 3 3 6.0 3.00 3.00 6.6 HIGH87 SANTOSA 750,000Rp Ciawitali 2 2 3 2 1 3 11 2.2 2 3 1 4 2 2.0 6.2 2.1 2 3 3 6.0 3.00 3.00 6.2 HIGH88 RASIM 850,000Rp Ciawitali 2 2 3 1 3 3 12 2.4 2 3 1 4 2 2.0 6.4 2.1 2 3 3 6.0 3.00 3.00 6.4 HIGH89 SUYATNA 1,200,000Rp Ciawitali 2 2 1 3 1 2 9 1.8 2 3 1 4 2 2.0 5.8 1.9 2 3 3 6.0 3.00 3.00 5.8 MODERATE90 WASMAN 900,000Rp Ciawitali 2 2 3 2 2 3 12 2.4 2 3 1 4 2 2.0 6.4 2.1 2 3 3 6.0 3.00 3.00 6.4 HIGH91 DARYAH 500,000Rp Ciawitali 2 2 3 1 2 3 11 2.2 2 3 1 4 2 2.0 6.2 2.1 2 3 3 6.0 3.00 3.00 6.2 HIGH92 JEMRANG 150,000Rp Ciawitali 2 2 3 3 3 3 14 2.8 3 3 1 4 2 2.0 6.8 2.3 2 3 3 6.0 3.00 3.00 6.8 HIGH93 TAJUDIN 1,500,000Rp Ciawitali 2 2 1 2 2 1 8 1.6 2 3 1 4 2 2.0 5.6 1.9 2 3 3 6.0 3.00 3.00 5.6 MODERATE94 RASIMAN 500,000Rp Ciawitali 2 2 3 2 3 3 13 2.6 3 3 1 4 2 2.0 6.6 2.2 2 3 3 6.0 3.00 3.00 6.6 HIGH95 SATINAH 150,000Rp Ciawitali 1 2 3 1 2 2 10 2 2 3 1 4 2 2.0 5.0 1.7 2 3 3 6.0 3.00 3.00 5.0 MODERATE96 RAJIN 500,000Rp Ciawitali 2 2 3 1 3 3 12 2.4 2 3 1 4 2 2.0 6.4 2.1 2 3 3 6.0 3.00 3.00 6.4 HIGH97 BEJA 700,000Rp Ciawitali 3 2 3 3 1 3 12 2.4 2 3 1 4 2 2.0 7.4 2.5 2 3 3 6.0 3.00 3.00 7.4 HIGH98 MAMAT 500,000Rp Ciawitali 1 2 3 3 1 1 10 2 2 3 1 4 2 2.0 5.0 1.7 2 3 3 6.0 3.00 3.00 5.0 MODERATE99 ANDI 1,000,000Rp Ciawitali 2 2 2 3 3 3 13 2.6 3 2 1 3 1.5 1.0 6.1 2.0 2 3 3 6.0 3.00 3.00 6.1 HIGH100 YAYAT 1,500,000Rp Ciawitali 2 2 1 2 2 1 8 1.6 2 3 1 4 2 2.0 5.6 1.9 2 3 3 6.0 3.00 3.00 5.6 MODERATE101 YAYAN 1,000,000Rp Ciawitali 2 2 2 2 2 1 9 1.8 2 3 1 4 2 2.0 5.8 1.9 2 3 3 6.0 3.00 3.00 5.8 MODERATE102 KASMIRI 500,000Rp Ciawitali 2 2 3 1 2 2 10 2 2 3 1 4 2 2.0 6.0 2.0 2 3 3 6.0 3.00 3.00 6.0 MODERATE103 SUYATNA 1,200,000Rp Ciawitali 2 3 1 1 1 2 8 1.6 2 3 1 4 2 2.0 5.6 1.9 2 3 3 6.0 3.00 3.00 5.6 MODERATE104 ANIH 475,000Rp Ciawitali 2 3 3 3 2 2 13 2.6 3 3 1 4 2 2.0 5.6 1.9 2 3 3 6.0 3.00 3.00 5.6 MODERATE105 SAHIDI 600,000Rp Ciawitali 2 3 3 3 3 3 15 3 3 3 1 4 2 2.0 6.6 2.2 2 3 3 6.0 3.00 3.00 6.6 HIGH106 EDO 900,000Rp Ciawitali 2 2 3 2 2 3 12 2.4 2 3 1 4 2 2.0 7.0 2.3 2 3 3 6.0 3.00 3.00 7.0 HIGH107 TOTO HENDARTO 700,000Rp Ciawitali 2 2 3 3 3 1 12 2.4 2 3 1 4 2 2.0 6.4 2.1 2 3 3 6.0 3.00 3.00 6.4 HIGH108 KASTARI 425,000Rp Ciawitali 2 2 3 2 2 1 10 2 2 3 1 4 2 2.0 6.4 2.1 2 3 3 6.0 3.00 3.00 6.4 HIGH109 SUKIN 1,100,000Rp Ciawitali 2 2 1 2 3 3 11 2.2 2 3 1 4 2 2.0 6.0 2.0 2 3 3 6.0 3.00 3.00 6.0 MODERATE110 ROHILI 600,000Rp Ciawitali 2 3 3 3 3 3 15 3 3 3 1 4 2 2.0 6.2 2.1 2 3 3 6.0 3.00 3.00 6.2 HIGH111 KOSIR 600,000Rp Ciawitali 2 3 3 3 3 3 15 3 3 3 1 4 2 2.0 7.0 2.3 2 3 3 6.0 3.00 3.00 7.0 HIGH112 SAKIMAN 1,000,000Rp Ciawitali 2 3 2 3 2 3 13 2.6 3 3 1 4 2 2.0 7.0 2.3 2 3 3 6.0 3.00 3.00 7.0 HIGH113 KASWANTO 500,000Rp Ciawitali 2 3 3 2 3 3 14 2.8 3 3 1 4 2 2.0 6.6 2.2 2 3 3 6.0 3.00 3.00 6.6 HIGH114 SARNO 450,000Rp Ciawitali 2 2 3 3 2 3 13 2.6 3 3 1 4 2 2.0 6.8 2.3 2 3 3 6.0 3.00 3.00 6.8 HIGH115 NANA ROJAK 1,700,000Rp Ciawitali 2 2 1 2 1 2 8 1.6 2 3 1 4 2 2.0 6.6 2.2 2 3 3 6.0 3.00 3.00 6.6 HIGH116 TUGIMAN 1,200,000Rp Ciawitali 2 2 1 3 1 2 9 1.8 2 3 1 4 2 2.0 5.6 1.9 2 3 3 6.0 3.00 3.00 5.6 MODERATE117 AYO 1,500,000Rp Ciawitali 2 1 1 2 1 2 7 1.4 1 3 1 4 2 2.0 5.8 1.9 2 3 3 6.0 3.00 3.00 5.8 MODERATE118 ENO 2,000,000Rp Ciawitali 2 2 1 2 1 1 7 1.4 1 2 1 3 1.5 1.0 5.4 1.8 2 3 3 6.0 3.00 3.00 5.4 MODERATE119 KARSIMIN 800,000Rp Ciawitali 2 1 3 1 2 2 9 1.8 2 3 1 4 2 2.0 4.9 1.6 2 3 3 6.0 3.00 3.00 4.9 MODERATE120 RANU 700,000Rp Ciawitali 3 3 3 2 3 3 14 2.8 3 3 1 4 2 2.0 6.8 2.3 2 3 3 6.0 3.00 3.00 6.8 HIGH121 MINGIN 450,000Rp Ciawitali 2 2 3 1 3 3 12 2.4 2 3 1 4 2 2.0 6.8 2.3 2 3 3 6.0 3.00 3.00 6.8 HIGH122 ILI 750,000Rp Ciawitali 3 2 3 1 2 3 11 2.2 2 3 1 4 2 2.0 7.4 2.5 2 3 3 6.0 3.00 3.00 7.4 HIGH123 TUK 1,000,000Rp Ciawitali 3 2 2 2 1 3 10 2 2 3 1 4 2 2.0 7.2 2.4 2 3 3 6.0 3.00 3.00 7.2 HIGH124 SAIMAN 1,000,000Rp Ciawitali 2 1 2 2 2 3 10 2 2 3 1 4 2 2.0 6.0 2.0 2 3 3 6.0 3.00 3.00 6.0 MODERATE125 IMIN 900,000Rp Ciawitali 3 2 3 2 2 3 12 2.4 2 3 1 4 2 2.0 7.0 2.3 2 3 3 6.0 3.00 3.00 7.0 HIGH126 TOPIT 1,000,000Rp Ciawitali 2 3 2 3 1 1 10 2 2 2 1 3 1.5 1.0 6.4 2.1 2 3 3 6.0 3.00 3.00 6.4 HIGH127 ADE KUSMANA 900,000Rp Ciawitali 2 2 3 2 2 1 10 2 2 2 1 3 1.5 1.0 5.5 1.8 2 3 3 6.0 3.00 3.00 5.5 MODERATE128 KARDI 1,500,000Rp Ciawitali 2 1 1 3 1 1 7 1.4 1 3 1 4 2 2.0 5.5 1.8 2 3 3 6.0 3.00 3.00 5.5 MODERATE129 IWAN ALO 900,000Rp Ciawitali 2 2 3 2 2 3 12 2.4 2 3 1 4 2 2.0 5.4 1.8 2 3 3 6.0 3.00 3.00 5.4 MODERATE130 TANO 1,000,000Rp Ciawitali 2 2 2 3 1 1 9 1.8 2 3 1 4 2 2.0 6.4 2.1 2 3 3 6.0 3.00 3.00 6.4 HIGH131 ROKAYAH 500,000Rp Ciawitali 2 3 3 3 2 1 12 2.4 2 3 1 4 2 2.0 5.8 1.9 2 3 3 6.0 3.00 3.00 5.8 MODERATE132 CICIN 900,000Rp Ciawitali 2 2 3 2 3 2 12 2.4 2 3 1 4 2 2.0 6.4 2.1 2 3 3 6.0 3.00 3.00 6.4 HIGH133 JUNO HS 900,000Rp Ciawitali 2 2 3 3 2 2 12 2.4 2 2 1 3 1.5 1.0 6.4 2.1 2 3 3 6.0 3.00 3.00 6.4 HIGH134 NONO 500,000Rp Ciawitali 1 3 3 3 2 1 12 2.4 2 3 1 4 2 2.0 4.9 1.6 2 3 3 6.0 3.00 3.00 4.9 MODERATE135 BASUKI 500,000Rp Ciawitali 2 3 3 3 2 1 12 2.4 2 3 1 4 2 2.0 6.4 2.1 2 3 3 6.0 3.00 3.00 6.4 HIGH136 SADIMAN 500,000Rp Ciawitali 2 3 3 2 2 1 11 2.2 2 3 1 4 2 2.0 6.4 2.1 2 3 3 6.0 3.00 3.00 6.4 HIGH137 YANTO KIRIN 500,000Rp Ciawitali 2 3 3 3 2 1 12 2.4 2 3 1 4 2 2.0 6.2 2.1 2 3 3 6.0 3.00 3.00 6.2 HIGH138 NARTO 500,000Rp Ciawitali 2 3 3 3 1 1 11 2.2 2 3 1 4 2 2.0 6.4 2.1 2 3 3 6.0 3.00 3.00 6.4 HIGH139 SUKIRMAN 1,000,000Rp Ciawitali 2 3 2 3 2 1 11 2.2 2 2 1 3 1.5 1.0 6.2 2.1 2 3 3 6.0 3.00 3.00 6.2 HIGH140 JITO 500,000Rp Ciawitali 2 3 3 3 3 1 13 2.6 3 3 1 4 2 2.0 5.7 1.9 2 3 3 6.0 3.00 3.00 5.7 MODERATE141 DEDI 500,000Rp Ciawitali 2 3 3 3 3 3 15 3 3 3 1 4 2 2.0 6.6 2.2 2 3 3 6.0 3.00 3.00 6.6 HIGH142 NAWIN 500,000Rp Ciawitali 2 3 3 2 2 1 11 2.2 2 3 1 4 2 2.0 7.0 2.3 2 3 3 6.0 3.00 3.00 7.0 HIGH143 NARDI 500,000Rp Ciawitali 2 3 3 3 3 3 15 3 3 3 1 4 2 2.0 6.2 2.1 2 3 3 6.0 3.00 3.00 6.2 HIGH144 TOHA 1,000,000Rp Ciawitali 2 3 2 1 1 1 8 1.6 2 3 1 4 2 2.0 7.0 2.3 2 3 3 6.0 3.00 3.00 7.0 HIGH145 KASWADI 500,000Rp Ciawitali 2 3 3 3 2 2 13 2.6 3 3 1 4 2 2.0 5.6 1.9 2 3 3 6.0 3.00 3.00 5.6 MODERATE146 KUSNO 500,000Rp Ciawitali 2 3 3 3 3 3 15 3 3 3 1 4 2 2.0 6.6 2.2 2 3 3 6.0 3.00 3.00 6.6 HIGH147 LASMINI 100,000Rp Ciawitali 2 3 3 1 3 2 12 2.4 2 3 1 4 2 2.0 7.0 2.3 2 3 3 6.0 3.00 3.00 7.0 HIGH148 RATIM 500,000Rp Ciawitali 1 3 3 3 2 3 14 2.8 3 3 1 4 2 2.0 5.4 1.8 2 3 3 6.0 3.00 3.00 5.4 MODERATE149 JUMAR 500,000Rp Ciawitali 2 3 3 3 2 1 12 2.4 2 3 1 4 2 2.0 6.8 2.3 2 3 3 6.0 3.00 3.00 6.8 HIGH150 MAMIN 500,000Rp Ciawitali 2 3 3 1 2 1 10 2 2 3 1 4 2 2.0 6.4 2.1 2 3 3 6.0 3.00 3.00 6.4 HIGH151 ATEP SUPRIADI 500,000Rp Ciawitali 3 3 3 3 3 2 14 2.8 3 3 1 4 2 2.0 7.0 2.3 2 3 3 6.0 3.00 3.00 7.0 HIGH152 KARSUM 500,000Rp Ciawitali 1 3 3 3 1 1 11 2.2 2 3 1 4 2 2.0 5.8 1.9 2 3 3 6.0 3.00 3.00 5.8 MODERATE153 KITAM 500,000Rp Ciawitali 2 3 3 3 2 2 13 2.6 3 3 1 4 2 2.0 6.2 2.1 2 3 3 6.0 3.00 3.00 6.2 HIGH154 EDI 500,000Rp Ciawitali 2 3 3 1 2 1 10 2 2 3 1 4 2 2.0 6.6 2.2 2 3 3 6.0 3.00 3.00 6.6 HIGH155 KADIARJO 250,000Rp Ciawitali 2 3 3 3 2 2 13 2.6 3 3 1 4 2 2.0 6.0 2.0 2 3 3 6.0 3.00 3.00 6.0 MODERATE156 BIHIN SUBHAN 500,000Rp Ciawitali 2 3 3 3 3 2 14 2.8 3 3 1 4 2 2.0 6.6 2.2 2 3 3 6.0 3.00 3.00 6.6 HIGH157 DASAM 500,000Rp Ciawitali 2 3 3 3 3 2 14 2.8 3 3 1 4 2 2.0 6.8 2.3 2 3 3 6.0 3.00 3.00 6.8 HIGH158 TARMINI 100,000Rp Ciawitali 2 3 3 3 3 3 15 3 3 3 1 4 2 2.0 6.8 2.3 2 3 3 6.0 3.00 3.00 6.8 HIGH159 SAIA HASAN 300,000Rp Ciawitali 2 3 3 3 3 3 15 3 3 3 1 4 2 2.0 7.0 2.3 2 3 3 6.0 3.00 3.00 7.0 HIGH160 WATI 100,000Rp Ciawitali 2 3 3 3 3 3 15 3 3 3 1 4 2 2.0 7.0 2.3 2 3 3 6.0 3.00 3.00 7.0 HIGH161 HASIM 500,000Rp Ciawitali 2 3 3 3 3 2 14 2.8 3 3 1 4 2 2.0 7.0 2.3 2 3 3 6.0 3.00 3.00 7.0 HIGH162 OONG 500,000Rp Ciawitali 2 3 3 3 3 3 15 3 3 3 1 4 2 2.0 6.8 2.3 2 3 3 6.0 3.00 3.00 6.8 HIGH163 BASIRUN 200,000Rp Ciawitali 2 3 3 2 3 2 13 2.6 3 3 1 4 2 2.0 7.0 2.3 2 3 3 6.0 3.00 3.00 7.0 HIGH164 NGALIMIN 300,000Rp Ciawitali 2 3 3 2 3 1 12 2.4 2 3 1 4 2 2.0 6.6 2.2 2 3 3 6.0 3.00 3.00 6.6 HIGH

Analisis Ciawitali

RISK1 - 3 3,1 - 6 6,1 - 9

Source of Incobe

Total Income

Labor Force/House

holdAssets


Educational Level

Social Systems

Total AverageLoR




Average (E+F+R/3)


VULNERABILITY

Total

RISK CATEGORY

Exposure

FRAGILITY

Total Average

LACK OF RESILIENCE

Total E + F +R

HAZARD

Fragility Category


Hazard Category



165 ENDANG S 500,000Rp Ciawitali 2 2 3 3 1 2 11 2.2 2 2 1 3 1.5 1.0 6.4 2.1 2 3 3 6.0 3.00 3.00 6.4 HIGH166 YONO 1,000,000Rp Ciawitali 1 2 2 3 2 3 12 2.4 2 3 1 4 2 2.0 4.7 1.6 2 3 3 6.0 3.00 3.00 4.7 MODERATE167 UEN 500,000Rp Ciawitali 2 3 3 2 2 1 11 2.2 2 3 1 4 2 2.0 6.4 2.1 2 3 3 6.0 3.00 3.00 6.4 HIGH168 GANJIL 2,200,000Rp Ciawitali 2 2 1 3 3 2 11 2.2 2 3 1 4 2 2.0 6.2 2.1 2 3 3 6.0 3.00 3.00 6.2 HIGH169 KOHAR 800,000Rp Ciawitali 2 3 3 2 3 3 14 2.8 3 3 1 4 2 2.0 6.2 2.1 2 3 3 6.0 3.00 3.00 6.2 HIGH170 WAHYU P 900,000Rp Ciawitali 2 3 3 3 3 3 15 3 3 2 1 3 1.5 1.0 6.8 2.3 2 2 3 5.0 2.50 2.00 5.7 MODERATE171 ADMAN 9,000,000Rp Ciawitali 1 2 1 3 3 3 12 2.4 2 3 1 4 2 2.0 5.5 1.8 2 3 3 6.0 3.00 3.00 5.5 MODERATE172 DAHMAN 1,500,000Rp Ciawitali 2 3 1 3 2 3 12 2.4 2 3 1 4 2 2.0 6.4 2.1 2 3 3 6.0 3.00 3.00 6.4 HIGH173 AYO 500,000Rp Ciawitali 2 2 3 2 3 2 12 2.4 2 2 1 3 1.5 1.0 6.4 2.1 2 3 3 6.0 3.00 3.00 6.4 HIGH174 MAINAH 750,000Rp Ciawitali 2 2 3 2 3 3 13 2.6 3 3 1 4 2 2.0 5.9 2.0 2 3 3 6.0 3.00 3.00 5.9 MODERATE175 SURWI 1,000,000Rp Ciawitali 2 3 2 2 1 1 9 1.8 2 2 1 3 1.5 1.0 6.6 2.2 2 3 3 6.0 3.00 3.00 6.6 HIGH176 DARSO 1,000,000Rp Ciawitali 1 2 2 2 1 1 8 1.6 2 3 1 4 2 2.0 4.3 1.4 1 3 3 6.0 3.00 3.00 4.3 MODERATE177 PRAYITNO 500,000Rp Ciawitali 2 1 3 2 2 2 10 2 2 3 1 4 2 2.0 5.6 1.9 2 3 3 6.0 3.00 3.00 5.6 MODERATE178 RUKMINTO 500,000Rp Ciawitali 2 3 3 3 2 2 13 2.6 3 3 1 4 2 2.0 6.0 2.0 2 3 3 6.0 3.00 3.00 6.0 MODERATE179 JUMANA 500,000Rp Ciawitali 2 3 3 3 2 2 13 2.6 3 3 1 4 2 2.0 6.6 2.2 2 3 3 6.0 3.00 3.00 6.6 HIGH180 MAHPUDIN 1,500,000Rp Ciawitali 2 3 1 3 3 2 12 2.4 2 2 1 3 1.5 1.0 6.6 2.2 2 3 3 6.0 3.00 3.00 6.6 HIGH181 YADI 750,000Rp Ciawitali 2 2 3 1 2 3 11 2.2 2 3 1 4 2 2.0 5.9 2.0 2 3 3 6.0 3.00 3.00 5.9 MODERATE182 SATANG 850,000Rp Ciawitali 2 2 3 3 2 3 13 2.6 3 3 1 4 2 2.0 6.2 2.1 2 3 3 6.0 3.00 3.00 6.2 HIGH183 NARTO 300,000Rp Ciawitali 2 2 3 1 2 2 10 2 2 3 1 4 2 2.0 6.6 2.2 2 3 3 6.0 3.00 3.00 6.6 HIGH184 PARAWANGI 600,000Rp Ciawitali 3 3 3 3 2 2 13 2.6 3 3 1 4 2 2.0 7.0 2.3 2 3 3 6.0 3.00 3.00 7.0 HIGH185 ENGKUS 700,000Rp Ciawitali 3 2 3 2 2 2 11 2.2 2 3 1 4 2 2.0 7.6 2.5 3 3 3 6.0 3.00 3.00 7.6 HIGH186 MULYONO 800,000Rp Ciawitali 2 2 3 1 2 1 9 1.8 2 3 1 4 2 2.0 6.2 2.1 2 3 3 6.0 3.00 3.00 6.2 HIGH187 JAMIN 780,000Rp Ciawitali 3 3 3 3 3 3 15 3 3 3 1 4 2 2.0 6.8 2.3 2 3 3 6.0 3.00 3.00 6.8 HIGH188 KINDUNG 1,500,000Rp Ciawitali 1 2 1 2 2 1 8 1.6 2 3 1 4 2 2.0 6.0 2.0 2 3 3 6.0 3.00 3.00 6.0 MODERATE189 KEHED 1,500,000Rp Ciawitali 1 2 1 1 1 1 6 1.2 1 3 1 4 2 2.0 4.6 1.5 2 3 3 6.0 3.00 3.00 4.6 MODERATE190 KIDAM 1,500,000Rp Ciawitali 1 2 1 2 1 1 7 1.4 1 3 1 4 2 2.0 4.2 1.4 1 3 3 6.0 3.00 3.00 4.2 MODERATE191 SARYO 1,500,000Rp Ciawitali 1 2 1 3 1 1 8 1.6 2 3 1 4 2 2.0 4.4 1.5 1 3 3 6.0 3.00 3.00 4.4 MODERATE192 UDIN 900,000Rp Ciawitali 1 2 3 1 1 1 8 1.6 2 3 1 4 2 2.0 4.6 1.5 2 3 3 6.0 3.00 3.00 4.6 MODERATE193 SUHENDI 1,500,000Rp Ciawitali 1 2 1 3 3 1 10 2 2 3 1 4 2 2.0 4.6 1.5 2 3 3 6.0 3.00 3.00 4.6 MODERATE194 TILI 750,000Rp Ciawitali 1 2 3 1 1 2 9 1.8 2 3 1 4 2 2.0 5.0 1.7 2 3 3 6.0 3.00 3.00 5.0 MODERATE195 RAWING 900,000Rp Ciawitali 1 2 3 2 1 2 10 2 2 3 1 4 2 2.0 4.8 1.6 2 3 3 6.0 3.00 3.00 4.8 MODERATE196 SURYANA 900,000Rp Ciawitali 1 1 3 3 2 2 11 2.2 2 2 1 3 1.5 1.0 5.0 1.7 2 3 3 6.0 3.00 3.00 5.0 MODERATE197 KARSADI 900,000Rp Ciawitali 1 2 3 1 2 1 9 1.8 2 3 1 4 2 2.0 4.7 1.6 2 3 3 6.0 3.00 3.00 4.7 MODERATE198 IYUS 700,000Rp Ciawitali 2 3 3 3 3 3 15 3 3 3 1 4 2 2.0 5.8 1.9 2 3 3 6.0 3.00 3.00 5.8 MODERATE199 MISWAN 900,000Rp Ciawitali 2 2 3 3 1 2 11 2.2 2 3 1 4 2 2.0 7.0 2.3 2 2 3 5.0 2.50 2.00 5.8 MODERATE200 DAJAIN 900,000Rp Ciawitali 1 2 3 3 1 1 10 2 2 3 1 4 2 2.0 5.2 1.7 2 2 3 5.0 2.50 2.00 4.3 MODERATE201 DUL ASPAR 350,000Rp Ciawitali 2 2 3 1 2 1 9 1.8 2 3 1 4 2 2.0 6.0 2.0 2 2 3 5.0 2.50 2.00 5.0 MODERATE202 JOHAN 900,000Rp Ciawitali 2 1 3 2 2 1 9 1.8 2 3 1 4 2 2.0 5.8 1.9 2 2 3 5.0 2.50 2.00 4.8 MODERATE203 UNAS 500,000Rp Ciawitali 3 3 3 1 3 3 13 2.6 3 3 1 4 2 2.0 6.8 2.3 2 2 3 5.0 2.50 2.00 5.7 MODERATE204 ENTIS 1,000,000Rp Ciawitali 2 3 2 3 1 1 10 2 2 3 1 4 2 2.0 6.6 2.2 2 2 3 5.0 2.50 2.00 5.5 MODERATE205 SUMARNA 1,000,000Rp Ciawitali 2 1 2 1 2 2 8 1.6 2 3 1 4 2 2.0 6.0 2.0 2 2 3 5.0 2.50 2.00 5.0 MODERATE206 RISLAM 1,200,000Rp Ciawitali 2 2 1 1 1 1 6 1.2 1 2 1 3 1.5 1.0 5.6 1.9 2 2 3 5.0 2.50 2.00 4.7 MODERATE207 KICIP 1,500,000Rp Ciawitali 1 3 1 3 3 2 12 2.4 2 1 1 2 1 1.0 3.7 1.2 1 2 3 5.0 2.50 2.00 3.1 MODERATE208 DAYAT 1,000,000Rp Ciawitali 2 2 2 1 1 2 8 1.6 2 3 1 4 2 2.0 5.4 1.8 2 2 3 5.0 2.50 2.00 4.5 MODERATE209 SUPYAN 1,000,000Rp Ciawitali 2 2 2 3 1 2 10 2 2 3 1 4 2 2.0 5.6 1.9 2 2 3 5.0 2.50 2.00 4.7 MODERATE210 MARYONO 1,000,000Rp Ciawitali 2 2 2 2 2 3 11 2.2 2 3 1 4 2 2.0 6.0 2.0 2 2 3 5.0 2.50 2.00 5.0 MODERATE211 SUHRI 900,000Rp Ciawitali 2 2 3 1 2 3 11 2.2 2 3 1 4 2 2.0 6.2 2.1 2 2 3 5.0 2.50 2.00 5.2 MODERATE212 SIRIN 900,000Rp Ciawitali 2 3 3 2 2 3 13 2.6 3 3 1 4 2 2.0 6.2 2.1 2 2 3 5.0 2.50 2.00 5.2 MODERATE213 SUTAR 900,000Rp Ciawitali 2 3 3 2 2 1 11 2.2 2 3 1 4 2 2.0 6.6 2.2 2 3 3 6.0 3.00 3.00 6.6 HIGH214 WISMAN 500,000Rp Ciawitali 3 1 3 1 2 2 9 1.8 2 3 1 4 2 2.0 7.2 2.4 2 3 3 6.0 3.00 3.00 7.2 HIGH

Analisis Majingklak

RISK1 - 3 3,1 - 6 6,1 - 9

Source of Incobe

Total Income

Labor Force/House

holdAssets


Educational Level

Social Systems

Total AverageLoR


a b c d e f g hh=(d+e+f

+g+h)i=(d+e+f+g+h)/5


1 SUPARDI 300,000Rp Majingklak 3 2 3 3 3 3 14 2.8 3 3 1 4 2 2.0 7.8 2.6 3 3 3 6.0 3.00 3.00 7.8 HIGH2 SUMI 850,000Rp Majingklak 3 3 3 2 3 3 14 2.8 3 3 1 4 2 2.0 7.8 2.6 3 3 3 6.0 3.00 3.00 7.8 HIGH3 AGUS 1,500,000Rp Majingklak 3 2 1 2 3 2 10 2 2 2 1 3 1.5 1.0 6.5 2.2 2 3 3 6.0 3.00 3.00 6.5 HIGH4 PAIJAN 900,000Rp Majingklak 3 2 3 2 3 2 12 2.4 2 3 1 4 2 2.0 7.4 2.5 2 3 3 6.0 3.00 3.00 7.4 HIGH5 MUSO 600,000Rp Majingklak 3 3 3 2 3 2 13 2.6 3 3 1 4 2 2.0 7.6 2.5 3 3 3 6.0 3.00 3.00 7.6 HIGH6 IBU DIKEM 450,000Rp Majingklak 3 3 3 1 3 2 12 2.4 2 3 1 4 2 2.0 7.4 2.5 2 3 3 6.0 3.00 3.00 7.4 HIGH7 MISTO 1,500,000Rp Majingklak 3 2 1 3 2 1 9 1.8 2 2 1 3 1.5 1.0 6.3 2.1 2 3 3 6.0 3.00 3.00 6.3 HIGH8 SUNARSO 600,000Rp Majingklak 3 2 3 1 1 1 8 1.6 2 3 1 4 2 2.0 6.6 2.2 2 3 3 6.0 3.00 3.00 6.6 HIGH9 SARTONO 300,000Rp Majingklak 3 3 3 1 3 3 13 2.6 3 3 1 4 2 2.0 7.6 2.5 3 3 3 6.0 3.00 3.00 7.6 HIGH

10 SUMARNO RW 750,000Rp Majingklak 3 1 3 3 1 1 9 1.8 2 3 1 4 2 2.0 6.8 2.3 2 3 3 6.0 3.00 3.00 6.8 HIGH11 KUSWA 1,500,000Rp Majingklak 3 1 1 1 1 1 5 1 1 3 1 4 2 2.0 6.0 2.0 2 3 3 6.0 3.00 3.00 6.0 MODERATE12 WALUYO BUDI 600,000Rp Majingklak 3 1 3 1 3 1 9 1.8 2 3 1 4 2 2.0 6.8 2.3 2 3 3 6.0 3.00 3.00 6.8 HIGH13 SUPARMA 1,500,000Rp Majingklak 3 2 1 2 1 1 7 1.4 1 3 1 4 2 2.0 6.4 2.1 2 3 3 6.0 3.00 3.00 6.4 HIGH14 WAGIMAH 300,000Rp Majingklak 3 3 3 1 3 3 13 2.6 3 3 1 4 2 2.0 7.6 2.5 3 3 3 6.0 3.00 3.00 7.6 HIGH15 JABARDUN - Majingklak 3 3 1 3 3 3 13 2.6 3 3 1 4 2 2.0 7.6 2.5 3 3 3 6.0 3.00 3.00 7.6 HIGH16 EDI SUTRISNO 450,000Rp Majingklak 3 3 3 2 3 1 12 2.4 2 3 1 4 2 2.0 7.4 2.5 2 3 3 6.0 3.00 3.00 7.4 HIGH17 DARTO 900,000Rp Majingklak 3 2 3 2 3 3 13 2.6 3 3 1 4 2 2.0 7.6 2.5 3 3 3 6.0 3.00 3.00 7.6 HIGH18 PARNO 900,000Rp Majingklak 3 2 3 3 2 2 12 2.4 2 3 1 4 2 2.0 7.4 2.5 2 3 3 6.0 3.00 3.00 7.4 HIGH19 HARTINI 300,000Rp Majingklak 3 3 3 1 3 2 12 2.4 2 3 1 4 2 2.0 7.4 2.5 2 3 3 6.0 3.00 3.00 7.4 HIGH20 TENDI 750,000Rp Majingklak 3 3 3 3 3 3 15 3 3 3 1 4 2 2.0 8.0 2.7 3 3 3 6.0 3.00 3.00 8.0 HIGH21 IBU SITI 300,000Rp Majingklak 3 3 3 3 3 3 15 3 3 3 1 4 2 2.0 8.0 2.7 3 3 3 6.0 3.00 3.00 8.0 HIGH22 SUTARNO 900,000Rp Majingklak 3 3 3 3 3 2 14 2.8 3 3 1 4 2 2.0 7.8 2.6 3 3 3 6.0 3.00 3.00 7.8 HIGH23 TUGIM 900,000Rp Majingklak 3 3 3 2 2 3 13 2.6 3 3 1 4 2 2.0 7.6 2.5 3 3 3 6.0 3.00 3.00 7.6 HIGH24 SUPARJO 1,500,000Rp Majingklak 3 1 1 2 1 2 7 1.4 1 2 1 3 1.5 1.0 5.9 2.0 2 3 3 6.0 3.00 3.00 5.9 MODERATE25 TONO EFENDI 900,000Rp Majingklak 3 2 3 3 3 2 13 2.6 3 2 1 3 1.5 1.0 7.1 2.4 2 3 3 6.0 3.00 3.00 7.1 HIGH26 NGADIMIN 600,000Rp Majingklak 3 3 3 3 3 3 15 3 3 3 1 4 2 2.0 8.0 2.7 3 3 3 6.0 3.00 3.00 8.0 HIGH27 SUJANA 600,000Rp Majingklak 3 3 3 3 3 2 14 2.8 3 3 1 4 2 2.0 7.8 2.6 3 3 3 6.0 3.00 3.00 7.8 HIGH28 SUYANTO 600,000Rp Majingklak 3 1 3 3 2 1 10 2 2 3 1 4 2 2.0 7.0 2.3 2 3 3 6.0 3.00 3.00 7.0 HIGH29 NGADIMI 600,000Rp Majingklak 3 3 3 3 3 2 14 2.8 3 3 1 4 2 2.0 7.8 2.6 3 3 3 6.0 3.00 3.00 7.8 HIGH30 SLAMET ARIFIN 750,000Rp Majingklak 3 2 3 3 1 2 11 2.2 2 3 1 4 2 2.0 7.2 2.4 2 3 3 6.0 3.00 3.00 7.2 HIGH31 TEGUH 900,000Rp Majingklak 3 2 3 2 2 2 11 2.2 2 2 1 3 1.5 1.0 6.7 2.2 2 3 3 6.0 3.00 3.00 6.7 HIGH32 SUJADI 900,000Rp Majingklak 3 1 3 1 2 2 9 1.8 2 2 1 3 1.5 1.0 6.3 2.1 2 3 3 6.0 3.00 3.00 6.3 HIGH33 IBU PANI 150,000Rp Majingklak 3 3 3 1 3 3 13 2.6 3 3 1 4 2 2.0 7.6 2.5 3 3 3 6.0 3.00 3.00 7.6 HIGH34 SUGENG 750,000Rp Majingklak 3 2 3 3 3 3 14 2.8 3 3 1 4 2 2.0 7.8 2.6 3 3 3 6.0 3.00 3.00 7.8 HIGH35 KUSWANDI 3,000,000Rp Majingklak 3 1 1 2 2 1 7 1.4 1 3 1 4 2 2.0 6.4 2.1 2 3 3 6.0 3.00 3.00 6.4 HIGH36 IBU BUNEK 300,000Rp Majingklak 3 3 3 1 3 3 13 2.6 3 3 1 4 2 2.0 7.6 2.5 3 3 3 6.0 3.00 3.00 7.6 HIGH37 SAIRA 3,000,000Rp Majingklak 3 1 1 2 1 1 6 1.2 1 3 1 4 2 2.0 6.2 2.1 2 3 3 6.0 3.00 3.00 6.2 HIGH38 MARSIEM 300,000Rp Majingklak 3 3 3 3 3 3 15 3 3 3 1 4 2 2.0 8.0 2.7 3 3 3 6.0 3.00 3.00 8.0 HIGH39 SURYA 900,000Rp Majingklak 3 1 3 3 1 1 9 1.8 2 3 1 4 2 2.0 6.8 2.3 2 3 3 6.0 3.00 3.00 6.8 HIGH40 AGUS RAMDANI 1,500,000Rp Majingklak 3 2 1 3 3 3 12 2.4 2 3 1 4 2 2.0 7.4 2.5 2 3 3 6.0 3.00 3.00 7.4 HIGH41 COWI 1,800,000Rp Majingklak 3 3 1 3 2 1 10 2 2 1 1 2 1 1.0 6.0 2.0 2 3 3 6.0 3.00 3.00 6.0 MODERATE42 AMINAH 450,000Rp Majingklak 3 3 3 1 3 2 12 2.4 2 3 1 4 2 2.0 7.4 2.5 2 3 3 6.0 3.00 3.00 7.4 HIGH43 JUMONO 1,500,000Rp Majingklak 3 1 1 3 1 1 7 1.4 1 2 1 3 1.5 1.0 5.9 2.0 2 3 3 6.0 3.00 3.00 5.9 MODERATE44 MUSWA 1,500,000Rp Majingklak 3 1 1 2 1 1 6 1.2 1 3 1 4 2 2.0 6.2 2.1 2 3 3 6.0 3.00 3.00 6.2 HIGH45 IBU LIA 450,000Rp Majingklak 3 3 3 2 3 3 14 2.8 3 3 1 4 2 2.0 7.8 2.6 3 3 3 6.0 3.00 3.00 7.8 HIGH46 SUPARMIN 1,500,000Rp Majingklak 3 1 1 2 1 2 7 1.4 1 3 1 4 2 2.0 6.4 2.1 2 3 3 6.0 3.00 3.00 6.4 HIGH47 SLAMET RIYADI 1,500,000Rp Majingklak 3 2 1 3 1 1 8 1.6 2 3 1 4 2 2.0 6.6 2.2 2 3 3 6.0 3.00 3.00 6.6 HIGH48 IMAM 1,500,000Rp Majingklak 3 2 1 2 2 3 10 2 2 3 1 4 2 2.0 7.0 2.3 2 3 3 6.0 3.00 3.00 7.0 HIGH49 BUDI 600,000Rp Majingklak 3 3 3 3 2 2 13 2.6 3 3 1 4 2 2.0 7.6 2.5 3 3 3 6.0 3.00 3.00 7.6 HIGH50 SAHDI 300,000Rp Majingklak 3 3 3 3 3 3 15 3 3 3 1 4 2 2.0 8.0 2.7 3 3 3 6.0 3.00 3.00 8.0 HIGH51 NASIR 900,000Rp Majingklak 3 2 3 2 2 2 11 2.2 2 3 1 4 2 2.0 7.2 2.4 2 3 3 6.0 3.00 3.00 7.2 HIGH52 IYAS 900,000Rp Majingklak 3 2 3 2 2 3 12 2.4 2 3 1 4 2 2.0 7.4 2.5 2 3 3 6.0 3.00 3.00 7.4 HIGH53 T. SUMARNO 600,000Rp Majingklak 3 2 3 3 3 3 14 2.8 3 3 1 4 2 2.0 7.8 2.6 3 3 3 6.0 3.00 3.00 7.8 HIGH54 KARYO 900,000Rp Majingklak 3 2 3 2 2 2 11 2.2 2 3 1 4 2 2.0 7.2 2.4 2 3 3 6.0 3.00 3.00 7.2 HIGH55 AHMAD MUKLASIN 900,000Rp Majingklak 3 2 3 3 1 2 11 2.2 2 2 1 3 1.5 1.0 6.7 2.2 2 3 3 6.0 3.00 3.00 6.7 HIGH56 SUPRAPTO 1,500,000Rp Majingklak 3 2 1 2 2 2 9 1.8 2 3 1 4 2 2.0 6.8 2.3 2 3 3 6.0 3.00 3.00 6.8 HIGH57 ABAH UKUS 900,000Rp Majingklak 3 2 3 3 2 2 12 2.4 2 3 1 4 2 2.0 7.4 2.5 2 3 3 6.0 3.00 3.00 7.4 HIGH58 MAMAT R 900,000Rp Majingklak 3 3 3 3 1 1 11 2.2 2 3 1 4 2 2.0 7.2 2.4 2 3 3 6.0 3.00 3.00 7.2 HIGH59 KASA 3,000,000Rp Majingklak 3 2 1 2 2 2 9 1.8 2 2 1 3 1.5 1.0 6.3 2.1 2 3 3 6.0 3.00 3.00 6.3 HIGH60 ENPAD 750,000Rp Majingklak 3 3 3 1 1 2 10 2 2 2 1 3 1.5 1.0 6.5 2.2 2 3 3 6.0 3.00 3.00 6.5 HIGH61 YOYOM 900,000Rp Majingklak 3 2 3 2 2 3 12 2.4 2 2 1 3 1.5 1.0 6.9 2.3 2 3 3 6.0 3.00 3.00 6.9 HIGH62 SUMARNO 900,000Rp Majingklak 3 2 3 2 1 1 9 1.8 2 3 1 4 2 2.0 6.8 2.3 2 3 3 6.0 3.00 3.00 6.8 HIGH63 WAGIMAN 900,000Rp Majingklak 3 3 3 3 3 3 15 3 3 3 1 4 2 2.0 8.0 2.7 3 3 3 6.0 3.00 3.00 8.0 HIGH64 RUDI 3,000,000Rp Majingklak 3 3 1 3 1 1 9 1.8 2 2 1 3 1.5 1.0 6.3 2.1 2 3 3 6.0 3.00 3.00 6.3 HIGH65 MBAH SURYO 3,000,000Rp Majingklak 3 3 1 3 1 1 9 1.8 2 3 1 4 2 2.0 6.8 2.3 2 3 3 6.0 3.00 3.00 6.8 HIGH66 SURATMO 1,500,000Rp Majingklak 3 3 1 3 2 3 12 2.4 2 2 1 3 1.5 1.0 6.9 2.3 2 3 3 6.0 3.00 3.00 6.9 HIGH67 PONO 800,000Rp Majingklak 3 3 3 3 3 3 15 3 3 3 1 4 2 2.0 8.0 2.7 3 3 3 6.0 3.00 3.00 8.0 HIGH68 TARMIN 600,000Rp Majingklak 3 3 3 3 3 2 14 2.8 3 3 1 4 2 2.0 7.8 2.6 3 3 3 6.0 3.00 3.00 7.8 HIGH69 BEJA 900,000Rp Majingklak 3 3 3 2 3 1 12 2.4 2 3 1 4 2 2.0 7.4 2.5 2 3 3 6.0 3.00 3.00 7.4 HIGH70 RUHYAN 3,000,000Rp Majingklak 3 1 1 2 1 1 6 1.2 1 1 1 2 1 1.0 5.2 1.7 2 2 3 5.0 2.50 2.00 4.3 MODERATE71 OMAN 2,300,000Rp Majingklak 3 2 1 3 2 1 9 1.8 2 2 1 3 1.5 1.0 6.3 2.1 2 3 3 6.0 3.00 3.00 6.3 HIGH72 SUPIN S 900,000Rp Majingklak 3 2 3 2 1 1 9 1.8 2 2 1 3 1.5 1.0 6.3 2.1 2 3 3 6.0 3.00 3.00 6.3 HIGH73 TUGINO 1,500,000Rp Majingklak 3 2 1 3 2 1 9 1.8 2 3 1 4 2 2.0 6.8 2.3 2 3 3 6.0 3.00 3.00 6.8 HIGH74 SUKARMAN 900,000Rp Majingklak 3 2 3 3 2 2 12 2.4 2 3 1 4 2 2.0 7.4 2.5 2 3 3 6.0 3.00 3.00 7.4 HIGH75 SADIO 900,000Rp Majingklak 3 2 3 3 2 1 11 2.2 2 2 1 3 1.5 1.0 6.7 2.2 2 3 3 6.0 3.00 3.00 6.7 HIGH76 SURALIWON 300,000Rp Majingklak 3 2 3 2 3 3 13 2.6 3 3 1 4 2 2.0 7.6 2.5 3 3 3 6.0 3.00 3.00 7.6 HIGH77 SUNARDI 1,200,000Rp Majingklak 3 2 1 3 1 1 8 1.6 2 3 1 4 2 2.0 6.6 2.2 2 3 3 6.0 3.00 3.00 6.6 HIGH78 JATAM 600,000Rp Majingklak 3 2 3 2 2 3 12 2.4 2 3 1 4 2 2.0 7.4 2.5 2 3 3 6.0 3.00 3.00 7.4 HIGH79 HANA 1,500,000Rp Majingklak 3 2 1 3 1 2 9 1.8 2 3 1 4 2 2.0 6.8 2.3 2 3 3 6.0 3.00 3.00 6.8 HIGH80 DULAH 3,000,000Rp Majingklak 3 2 1 2 1 1 7 1.4 1 2 1 3 1.5 1.0 5.9 2.0 2 3 3 6.0 3.00 3.00 5.9 MODERATE81 TARKIM 600,000Rp Majingklak 3 2 3 3 3 3 14 2.8 3 3 1 4 2 2.0 7.8 2.6 3 3 3 6.0 3.00 3.00 7.8 HIGH82 MISTAM 750,000Rp Majingklak 3 2 3 3 3 3 14 2.8 3 3 1 4 2 2.0 7.8 2.6 3 3 3 6.0 3.00 3.00 7.8 HIGH83 SUPANDI 1,500,000Rp Majingklak 3 2 1 3 1 1 8 1.6 2 3 1 4 2 2.0 6.6 2.2 2 3 3 6.0 3.00 3.00 6.6 HIGH84 A. WARSITO 1,500,000Rp Majingklak 3 2 1 3 3 1 10 2 2 2 1 3 1.5 1.0 6.5 2.2 2 3 3 6.0 3.00 3.00 6.5 HIGH85 SAMINGUN 900,000Rp Majingklak 3 2 3 3 3 1 12 2.4 2 3 1 4 2 2.0 7.4 2.5 2 3 3 6.0 3.00 3.00 7.4 HIGH

Total Magnitude Average Vulnerability Category

Hazard Category

Sub-Village

LACK OF RESILIENCE

Total E + F +R

HAZARD

Fragility Category

Average

RISK CATEGORY

Exposure

FRAGILITY

V x HRata-rata

(E+F+R/3)

RISK ANALISYSMajingklak

No. House hold Montly Income Total

VULNERABILITY

Frequency

Analisis Majingklak

RISK1 - 3 3,1 - 6 6,1 - 9

Source of Incobe

Total Income

Labor Force/House

holdAssets


Educational Level

Social Systems

Total AverageLoR


a b c d e f g hh=(d+e+f

+g+h)i=(d+e+f+g+h)/5


Total Magnitude Average Vulnerability Category

Hazard Category

Sub-Village

LACK OF RESILIENCE

Total E + F +R

HAZARD

Fragility Category

Average

RISK CATEGORY

Exposure

FRAGILITY

V x HRata-rata

(E+F+R/3)

RISK ANALISYSMajingklak

No. House hold Montly Income Total

VULNERABILITY

Frequency

86 RUJIT 1,200,000Rp Majingklak 3 2 1 3 1 2 9 1.8 2 3 1 4 2 2.0 6.8 2.3 2 3 3 6.0 3.00 3.00 6.8 HIGH87 ARJO 1,500,000Rp Majingklak 3 2 1 3 2 1 9 1.8 2 3 1 4 2 2.0 6.8 2.3 2 3 3 6.0 3.00 3.00 6.8 HIGH88 SUMITRO 1,500,000Rp Majingklak 3 2 1 2 1 2 8 1.6 2 3 1 4 2 2.0 6.6 2.2 2 3 3 6.0 3.00 3.00 6.6 HIGH89 REBO SUPARYO 600,000Rp Majingklak 3 2 3 3 2 3 13 2.6 3 3 1 4 2 2.0 7.6 2.5 3 3 3 6.0 3.00 3.00 7.6 HIGH90 SUJARWO 3,000,000Rp Majingklak 3 2 1 3 1 1 8 1.6 2 3 1 4 2 2.0 6.6 2.2 2 3 3 6.0 3.00 3.00 6.6 HIGH91 TURAH 900,000Rp Majingklak 3 2 3 3 3 2 13 2.6 3 3 1 4 2 2.0 7.6 2.5 3 3 3 6.0 3.00 3.00 7.6 HIGH92 ATIMO 900,000Rp Majingklak 3 2 3 2 2 2 11 2.2 2 3 1 4 2 2.0 7.2 2.4 2 3 3 6.0 3.00 3.00 7.2 HIGH93 JONI S 900,000Rp Majingklak 3 2 3 2 3 2 12 2.4 2 3 1 4 2 2.0 7.4 2.5 2 3 3 6.0 3.00 3.00 7.4 HIGH94 NASIM 1,500,000Rp Majingklak 3 2 1 3 2 1 9 1.8 2 3 1 4 2 2.0 6.8 2.3 2 3 3 6.0 3.00 3.00 6.8 HIGH95 DARNO 900,000Rp Majingklak 3 2 3 3 2 2 12 2.4 2 3 1 4 2 2.0 7.4 2.5 2 3 3 6.0 3.00 3.00 7.4 HIGH96 LASEM 900,000Rp Majingklak 3 2 3 3 3 2 13 2.6 3 3 1 4 2 2.0 7.6 2.5 3 3 3 6.0 3.00 3.00 7.6 HIGH97 TURYONO 600,000Rp Majingklak 3 2 3 3 3 2 13 2.6 3 2 1 3 1.5 1.0 7.1 2.4 2 3 3 6.0 3.00 3.00 7.1 HIGH98 SUTRISNO 1,500,000Rp Majingklak 3 2 1 1 1 1 6 1.2 1 3 1 4 2 2.0 6.2 2.1 2 2 3 5.0 2.50 2.00 5.2 MODERATE99 SUMO 1,200,000Rp Majingklak 3 2 1 3 2 2 10 2 2 3 1 4 2 2.0 7.0 2.3 2 3 3 6.0 3.00 3.00 7.0 HIGH

100 SUBARDI 1,500,000Rp Majingklak 3 2 1 3 2 2 10 2 2 3 1 4 2 2.0 7.0 2.3 2 3 3 6.0 3.00 3.00 7.0 HIGH101 SUPAR 900,000Rp Majingklak 3 2 3 3 3 2 13 2.6 3 3 1 4 2 2.0 7.6 2.5 3 3 3 6.0 3.00 3.00 7.6 HIGH102 TUBAN 600,000Rp Majingklak 3 2 3 2 3 2 12 2.4 2 3 1 4 2 2.0 7.4 2.5 2 3 3 6.0 3.00 3.00 7.4 HIGH103 PAIJO 1,500,000Rp Majingklak 3 2 1 3 3 3 12 2.4 2 3 1 4 2 2.0 7.4 2.5 2 3 3 6.0 3.00 3.00 7.4 HIGH104 SATINO 600,000Rp Majingklak 3 2 3 2 3 3 13 2.6 3 3 1 4 2 2.0 7.6 2.5 3 3 3 6.0 3.00 3.00 7.6 HIGH105 TEGUR SISWANTO 600,000Rp Majingklak 3 2 3 3 1 1 10 2 2 2 1 3 1.5 1.0 6.5 2.2 2 3 3 6.0 3.00 3.00 6.5 HIGH106 MAD PAIJAN 300,000Rp Majingklak 3 2 3 3 3 3 14 2.8 3 3 1 4 2 2.0 7.8 2.6 3 3 3 6.0 3.00 3.00 7.8 HIGH107 KARYONO 900,000Rp Majingklak 3 2 3 3 3 3 14 2.8 3 3 1 4 2 2.0 7.8 2.6 3 3 3 6.0 3.00 3.00 7.8 HIGH108 WARIS 1,500,000Rp Majingklak 3 2 1 3 1 3 10 2 2 3 1 4 2 2.0 7.0 2.3 2 3 3 6.0 3.00 3.00 7.0 HIGH109 GONO 1,000,000Rp Majingklak 3 2 2 3 2 2 11 2.2 2 3 1 4 2 2.0 7.2 2.4 2 3 3 6.0 3.00 3.00 7.2 HIGH110 GINO E 1,200,000Rp Majingklak 3 2 1 2 1 2 8 1.6 2 3 1 4 2 2.0 6.6 2.2 2 3 3 6.0 3.00 3.00 6.6 HIGH111 WAJI 600,000Rp Majingklak 3 2 3 3 3 1 12 2.4 2 2 1 3 1.5 1.0 6.9 2.3 2 3 3 6.0 3.00 3.00 6.9 HIGH112 ENO 1,000,000Rp Majingklak 3 2 2 2 1 2 9 1.8 2 3 1 4 2 2.0 6.8 2.3 2 3 3 6.0 3.00 3.00 6.8 HIGH113 WARSONO 1,500,000Rp Majingklak 3 2 1 2 2 1 8 1.6 2 3 1 4 2 2.0 6.6 2.2 2 3 3 6.0 3.00 3.00 6.6 HIGH114 TOTO MARYANTO 1,500,000Rp Majingklak 3 2 1 3 1 1 8 1.6 2 2 1 3 1.5 1.0 6.1 2.0 2 2 3 5.0 2.50 2.00 5.1 MODERATE115 UNTUNG BUDIONO 1,200,000Rp Majingklak 3 2 1 3 1 2 9 1.8 2 3 1 4 2 2.0 6.8 2.3 2 3 3 6.0 3.00 3.00 6.8 HIGH116 JUMSA 600,000Rp Majingklak 3 2 3 3 2 1 11 2.2 2 3 1 4 2 2.0 7.2 2.4 2 3 3 6.0 3.00 3.00 7.2 HIGH117 SLAMET NGAS 600,000Rp Majingklak 3 2 3 3 3 3 14 2.8 3 3 1 4 2 2.0 7.8 2.6 3 3 3 6.0 3.00 3.00 7.8 HIGH118 BOLOT 750,000Rp Majingklak 3 2 3 3 3 3 14 2.8 3 3 1 4 2 2.0 7.8 2.6 3 3 3 6.0 3.00 3.00 7.8 HIGH119 MAMAT 600,000Rp Majingklak 3 2 3 3 3 3 14 2.8 3 3 1 4 2 2.0 7.8 2.6 3 3 3 6.0 3.00 3.00 7.8 HIGH120 IBU DANI 900,000Rp Majingklak 3 2 3 2 3 3 13 2.6 3 3 1 4 2 2.0 7.6 2.5 3 3 3 6.0 3.00 3.00 7.6 HIGH121 SURIP P 900,000Rp Majingklak 3 2 3 3 2 2 12 2.4 2 3 1 4 2 2.0 7.4 2.5 2 3 3 6.0 3.00 3.00 7.4 HIGH122 SUMERI 900,000Rp Majingklak 3 2 3 3 3 1 12 2.4 2 3 1 4 2 2.0 7.4 2.5 2 3 3 6.0 3.00 3.00 7.4 HIGH123 REJA WUTUH 600,000Rp Majingklak 3 2 3 3 3 3 14 2.8 3 3 1 4 2 2.0 7.8 2.6 3 3 3 6.0 3.00 3.00 7.8 HIGH124 RUSMANTO 900,000Rp Majingklak 3 2 3 3 3 2 13 2.6 3 3 1 4 2 2.0 7.6 2.5 3 3 3 6.0 3.00 3.00 7.6 HIGH125 SARNO 750,000Rp Majingklak 3 2 3 3 2 2 12 2.4 2 3 1 4 2 2.0 7.4 2.5 2 3 3 6.0 3.00 3.00 7.4 HIGH126 TUMINAH 750,000Rp Majingklak 3 2 3 3 2 1 11 2.2 2 2 1 3 1.5 1.0 6.7 2.2 2 3 3 6.0 3.00 3.00 6.7 HIGH127 KARTEM 300,000Rp Majingklak 3 2 3 1 3 3 12 2.4 2 3 1 4 2 2.0 7.4 2.5 2 3 3 6.0 3.00 3.00 7.4 HIGH128 ALAN LANTARU 900,000Rp Majingklak 3 2 3 3 2 2 12 2.4 2 2 1 3 1.5 1.0 6.9 2.3 2 3 3 6.0 3.00 3.00 6.9 HIGH129 NYAI 300,000Rp Majingklak 3 2 3 1 3 2 11 2.2 2 3 1 4 2 2.0 7.2 2.4 2 2 3 5.0 2.50 2.00 6.0 MODERATE130 PADI 450,000Rp Majingklak 3 2 3 3 3 3 14 2.8 3 3 1 4 2 2.0 7.8 2.6 3 3 3 6.0 3.00 3.00 7.8 HIGH131 AGUS T 450,000Rp Majingklak 3 2 3 3 3 3 14 2.8 3 3 1 4 2 2.0 7.8 2.6 3 3 3 6.0 3.00 3.00 7.8 HIGH132 SUTARDI 450,000Rp Majingklak 3 2 3 3 2 2 12 2.4 2 2 1 3 1.5 1.0 6.9 2.3 2 3 3 6.0 3.00 3.00 6.9 HIGH133 JAMIN 600,000Rp Majingklak 3 2 3 3 3 3 14 2.8 3 3 1 4 2 2.0 7.8 2.6 3 3 3 6.0 3.00 3.00 7.8 HIGH134 KADIR 600,000Rp Majingklak 3 2 3 2 3 3 13 2.6 3 3 1 4 2 2.0 7.6 2.5 3 3 3 6.0 3.00 3.00 7.6 HIGH135 SURATMAN 900,000Rp Majingklak 3 2 3 3 3 3 14 2.8 3 2 1 3 1.5 1.0 7.3 2.4 2 3 3 6.0 3.00 3.00 7.3 HIGH136 AGUS SUPRIANTO 600,000Rp Majingklak 3 2 3 3 3 3 14 2.8 3 2 1 3 1.5 1.0 7.3 2.4 2 3 3 6.0 3.00 3.00 7.3 HIGH137 HADI 300,000Rp Majingklak 3 2 3 3 3 3 14 2.8 3 3 1 4 2 2.0 7.8 2.6 3 3 3 6.0 3.00 3.00 7.8 HIGH138 NANANG KOHIRIN 600,000Rp Majingklak 3 2 3 2 3 3 13 2.6 3 2 1 3 1.5 1.0 7.1 2.4 2 3 3 6.0 3.00 3.00 7.1 HIGH139 ARIFIN 900,000Rp Majingklak 3 2 3 3 3 2 13 2.6 3 3 1 4 2 2.0 7.6 2.5 3 3 3 6.0 3.00 3.00 7.6 HIGH140 KARNO 600,000Rp Majingklak 3 2 3 2 2 2 11 2.2 2 3 1 4 2 2.0 7.2 2.4 2 3 3 6.0 3.00 3.00 7.2 HIGH141 WARNO 600,000Rp Majingklak 3 2 3 3 3 3 14 2.8 3 3 1 4 2 2.0 7.8 2.6 3 3 3 6.0 3.00 3.00 7.8 HIGH142 ROHANTO 600,000Rp Majingklak 3 2 3 3 3 3 14 2.8 3 2 1 3 1.5 1.0 7.3 2.4 2 3 3 6.0 3.00 3.00 7.3 HIGH

143 SUPARNO 1,000,000Rp Cikadim 3 2 2 3 3 3 13 2.6 3 3 1 4 2 2.0 7.6 2.5 3 2 3 5.0 2.50 2.00 6.3 HIGH144 NASIRUN 900,000Rp Cikadim 3 2 3 3 2 1 11 2.2 2 2 1 3 1.5 1.0 6.7 2.2 2 2 3 5.0 2.50 2.00 5.6 MODERATE145 D. SUHERMAN 1,000,000Rp Cikadim 3 2 2 3 2 1 10 2 2 3 1 4 2 2.0 7.0 2.3 2 2 3 5.0 2.50 2.00 5.8 MODERATE146 SAEPUDIN 800,000Rp Cikadim 3 2 3 3 3 3 14 2.8 3 3 1 4 2 2.0 7.8 2.6 3 2 3 5.0 2.50 2.00 6.5 HIGH147 SOLEH 600,000Rp Cikadim 3 2 3 2 2 1 10 2 2 3 1 4 2 2.0 7.0 2.3 2 2 3 5.0 2.50 2.00 5.8 MODERATE148 SAINO 900,000Rp Cikadim 3 2 3 3 2 3 13 2.6 3 3 1 4 2 2.0 7.6 2.5 3 2 3 5.0 2.50 2.00 6.3 HIGH149 MULYADI 1,000,000Rp Cikadim 3 2 2 2 2 1 9 1.8 2 2 1 3 1.5 1.0 6.3 2.1 2 2 3 5.0 2.50 2.00 5.3 MODERATE150 SADIRAMSORI 500,000Rp Cikadim 3 2 3 3 3 3 14 2.8 3 3 1 4 2 2.0 7.8 2.6 3 2 3 5.0 2.50 2.00 6.5 HIGH151 BASUKI 850,000Rp Cikadim 3 2 3 3 2 1 11 2.2 2 3 1 4 2 2.0 7.2 2.4 2 3 3 6.0 3.00 3.00 7.2 HIGH152 SARTIM 900,000Rp Cikadim 3 2 3 3 2 3 13 2.6 3 2 1 3 1.5 1.0 7.1 2.4 2 2 3 5.0 2.50 2.00 5.9 MODERATE

Report on Rapid Risk Assessment in Majingklak and Ciawitali Sub-villages, Pamotan Village Ciamis Distric xv

2 . Quist ioners

Report on Rapid Risk Assessment in Majingklak and Ciawitali Sub-villages, Pamotan Village Ciamis Distric xvi

3 . R isk Maps

risk assessment report in majingklak and ciawitali sub-village, pamotan village ciamis district,...

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