LAUNDRY DIGITAL ORDERING SYSTEM

NUR IRYANA BINTI MOHD AFZAL

BACHELOR DEGREE IN COMPUTER SCIENCE (INTERNET COMPUTING)

WITH HONOURS

FACULTY OF FACULTY OF INFORMATICS AND COMPUTERS

UNIVERSITI SULTAN ZAINAL ABIDIN

DECLARATION

I hereby that this report is based on my original work except for quotations and citations, which

have been duly acknowledged. I also declare that it has not been previously or concurrently

submitted for any other degree at University Sultan Zainal Abidin or other institutions.

______________________________

Name : Nur Iryana Binti Mohd Afzal

Date :

i

CONFIRMATION

This is to confirm that:

The research conducted and the writing of this report was under my supervision.

______________________________

Name : DR. Suhailan Bin Safei

Date :

ii

ACKNOWLEGDEMENT

Foremost, I would like to express my appreciation for my beloved family who

continuing support me and provide the necessary resources for me to complete my degree final

year project.

I also wish to express my sincere thanks to my supervisor DR. Suhailan Bin Safei, for

providing supervising and guidance along the way of writing my thesis. Besides, I am feeling

thankful to him for sharing his expertise, valuable knowledge in signal processing and

encouragement extended to me.

Lastly, I would like to take this opportunity to express gratitude to all my friends who

directly or indirectly, have lent their hand for help to develop my project. Thanks to my friend

who assist me by giving idea of coding to develop the system. Thanks to my colleague who

always support me mentally and giving encouragement in the process of developing my final

year project.

Most of all, thanksgiving, praise and glory is all to Allah swt, who gives me grace,

patience, healthy, wisdom and ability to walk through all the problems and obstacles during

the period of my study.

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ABSTRACT

Laundry are one of the favourite premises. With no regard to the actual reasons for

visiting laundry ,customer will make orders and wait for the service. However, it is common if

customers complain for not feeling happy about the services offered. There are many reasons

leading to the feeling of dissatisfaction including being entertained late in terms of order taking

by the staff and service serving. The problem of being late entertained could be solved with

help of the improvement in the technologies of communication. In accordance, this study

initiates an united and networked system, with the focus is on its ability to solve the above

described limitations in order taking. This study terms the system as Laundry Digital Ordering

System(LDOS). In definition, LDOS is an combined system, developed to assist laundry

management groups by enabling customers to immediately make orders on themselves. This

will reduce the number of minutes to wait for the service serving. This topic comprises scope

of the project, project characteristics, operating environments, assumption and dependencies,

design and implementation constraints. Scope of the project includes features that can be

implemented. Design part includes the method and way of designing the product. It also

explains certain constraints ondesigning and implementation. I implementing this system using

web based for PC’s and the technique using speech recognition.

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CONTENTS

PAGE

DECLARATION i

CONFIRMATION ii

ACKNOWLEGDMENT iii

ABSTRACT iv

CONTENTS v

LIST OF FIGURES vi

LIST OF TABLES vii

CHAPTER I

1.1 Introduction 1

1.1 System Background 2

1.2 Problem statement 2

1.3 Objectives 3

1.4 Scopes 3-4

1.5 Limitation of Works 4

1.6 Expected Result 5

1.7 Conclusions 5

CHAPTER II LITERATURE REVIEW

2.1 Introductions 6

2.2 Project and Research 6

2.2.1 iLaundry 6

2.2.2 Maurice Dry Cleaners 7

2.2.3 CD One Price Cleaners 8

2.2.4 Google Assistant 9

2.2.5 Google Cloud Speech-to-Text 10

2.3 Technique Speech Recognition 11

2.4 Conclusions 11

CHAPTER III METHODOLOGY

3.1 Introductions 12

3.2 Project Methodology 13

3.2.1 Requirement Phase 13

3.2.2 Design Phase 14

3.2.3 Development Phase 14

3.2.4 Testing Phase 14

3.2.5 Deployment Phase 14

3.2.6 Review Phase 15

3.3 Gantt Chart 16

3.4 Project Requirement 17

3.4.1 Hardware Requirement 17

3.4.2 Software Requirement 18

3.5 Process Model 19

3.5.1 Context Diagram 19

3.5.2 Data Flow Diagram Level 0 20

3.5.3 Data Flow Diagram Level 1 21

3.5.4 Entity Relationship Diagram 22

3.6 Data Dictionary 23

3.7 Conclusion 24

REFERENCES 25

LIST OF FIGURES

FIGURES TITLE PAGE

2.2.1 iLaundry 6

2.2.2 Maurice Dry Cleaners 7

2.2.3 CD One Price Cleaners 8

2.2.4 Google Assistant 9

2.2.5 Google Cloud Speech-to-Text 10

3.2 Agile Methodology 11

3.5.1 Context Diagram 19

3.5.2 Data Flow Diagram Level 0 20

3.5.3 Data Flow Diagram Level 1 21

3.5.4 Entity Relationship Diagram 22

vii

LIST OF TABLES

TABLES TITLE PAGE

3.3 Gantt Chart 16

3.4.1 List of hardware requirement 17

3.4.2 List of software requirement 18

3.6 Data Dictionary 23-24

viii

CHAPTER I

1.1 Introduction

Laundry are one of the favourite premises. With no regard for the actual reasons for

visiting laundry, the customer will make an order and wait for the service. However, it is

common if customers complain for not feeling happy about the services offered. There are

many reasons leading to the feeling of dissatisfaction including being entertained late in

terms of order taking by the staff and service serving. The problem of being late entertained

could be solved with the help of the improvement in the technologies of communication.

In accordance, this study initiates a united and networked system, with the focus, is on its

ability to solve the above-described limitations in order taking. This study terms the system

as Laundry Digital Ordering System(LDOS). In definition, LDOS is a combined system,

developed to assist laundry management groups by enabling customers to immediately

make orders on themselves. This will reduce the number of minutes to wait for the service

serving.

1

1.2 System Background

Speech recognition is a topic that very useful in many applications and environments in our

daily life. Generally, speech recognizer is a machine which understand humans and their

spoken word in some way and can act thereafter. In daily usage, the customer will make an

order, pay it and just wait for the service. Applying voice control technology or speech

recognition technology seems will help a lot in enhancing the safety for certain situation. A

different aspect of speech recognition is to facilitate for people with functional disability or

other kinds of handicap. To make their daily routine easier, voice control could be helpful.

With their voice, they could call operator and just make a order.

1.3 Problem Statement

In our daily life, we use many online systems and new technologies in order to improve the

quality of our life but most of them are not user friendly for those users who face difficulties

in typing and also encounter difficulties in expressing their spoken words in text or documents

form. Besides that, some people face difficulties using online systems. This method more users

friendly since user do not need to navigate the computer by using normal keyboard. Finally, if

staff are lacking then customers will have to wait longer to get their order especially during

peak hours. In addition, it is common if customers complain for not feeling happy about the

services offered. There are many reasons leading to the feeling of dissatisfaction including

being entertained late in terms of order taking by the staff and service serving. This indicates

the inefficiency of the system and it will affect the productivity of the laundry shop.

2

1.4 Obejctive

There are three main objectives for this proposal. These objectives are derived to overcome

problems that stated before.

The objectives are :

i. To analyze the efficiency and reliability of the digital ordering technique use in

speech recognition system.

ii. To design system that can captured ordering customers.

iii. To develop the system using speech recognition system as a sensor feature to

receive customer order.

1.5 Scope

This project scope is divided into four which are knows as the customers, staff, admin and

the system.

Customer

i. Customers need to speak their and what services their wants.

ii. Customers can check their status by mention the reference number.

Staff

i. Staff will collect and check the data.

ii. Staff also can change the status when done

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Admin

i. Admin will add, delete, or update services and staff

ii. Admin can view the report

iii. Admin will set the voice in English

System

i. Detect and recognize the voice

ii. Create a user friendly GUI to perform the voice signal analysis for the speech

recognition

1.6 Limitation Of Works

The limitation of works explain what only this system will focus on only. It explain a bit weakness for

this system

i. Does not cover manage or storing audio file

ii. Does not cover to locate costumers address

iii. The customer different dialect might be a problem

iv. Just cover English language

v. Just support Google Chrome only

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1.7 Expected result

The expected result after releasing of this system is user should be able to make booking

service by the system through speech recognition. The user also can check the status of process

laundry by using this application. The benefit is this system also can reduce the cost travel,

save time and energy. While on admin site, they can to view, update or delete the data of the

system. The developer also expected that the system could function well and fulfil the user

requirement standard.

1.7 Conclusion

In this chapter 1 focuses on the project background of the system, problem statement,

objective, scope and limitation of work in voice recognition system. For the system background

explain about process of speech recognition. Problem statement is about why speech

recognition important to make order more reliable. For this chapter 1 have objective for this

hold system that mean what the income of this project. The project scope just focus to user and

system and this project have a few limitation of works.

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CHAPTER 2

2.0 LITERATURE REVIEW

2.1 Introduction

This section takes critical review of existing system implemented, the success factors,

challenges faced, technologies used and unresolved problems. This forms the basis for

implementing later versions.

2.2 Project and Research

2.2.1 iLaundry

Figure 2.2.1 iLaundry

Refer figure 131 from (http://www.ilaundry.co/,2000), iLaundry puts over 20 years of expert

care, handling and experience behind every garment. Their award winning facility uses green

energy & environmentally friendly processes, providing brighter, fresher and cleaner garments.

iLaundry is one of the largest online laundry service providers in Bangalore. Theres are

dedicated to provide you with the best care for your garments.

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2.2.2 Maurice Dry Cleaners

Figure 2.2.2 Maurice Dry Cleaners

Refer figure 2.2.2 above from (http://www.mauricedrycleaners.com.au/) Maurice Dry

Cleaners their pride theirselves on being leaders in garment cleaning technology servicing

throughout the Sydney CBD. Their service to the CBD of Sydney is second to none with their

highest quality cleaning and same day delivery always our priority. This is only achieved by

10 handy locations and fleet of vehicles that allow us to keep our prices competitive and

delivered on time without fuss. From their high end designer wear through to their crisp white

business shirt service, no piece of clothing you wear is left out. At Maurice, with over 30 years

experience we are committed in obtaining the most up to date of machinery with the greatest

of consideration to our environment. Their all new hydrocarbon dry cleaning machines along

with our many state of the art shirt machines allows us to be leaders in the dry cleaning industry

in the Sydney metro area.

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2.2.3 CD One Price Cleaners

Figure 2.2.3 CD One Price Cleaners

Refer figure 2.2.3 above from(https://www.cdonepricecleaners.com/), CD One Price

Cleaners concept is the result of nearly 30 years of industry experience, applied with

sophisticated business and process knowledge, techniques, and discipline to create unrivaled

quality and customer satisfaction. CD One Price Cleaners centers on volume, efficiency and

customers. Specializing in garments, with all equipment-as well as the operator-on premises,

enables our low price offering and creates a buyer experience you will not find at any other

same day laundry service CD One Price Cleaners process is proven. It's designed to the last

detail to deliver high volume while maintaining the exceptional quality. Our people work hard

every day to operate it flawlessly. That's why it works.

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2.2.4 Google Assistant

Figure 2.2.4 Google Assistant

Refer figure 2.2.4 from (https://assistant.google.com/intl/en_my/platforms/phones/),

Google Assistant is Google's voice assistant. When it launched, Google Assistant was an

extension of Google Now, designed to be personal while expanding on Google's existing "OK

Google" voice controls. Originally, Google Now smartly pulled out relevant information for

you. It knew where you worked, your meetings and travel plans, the sports teams you liked,

and what interested you so that it could present you with information that mattered to you.

Google has long killed Google Now, but Assistant lives in the same space, fusing these

personalised elements with a wide-range of voice control. Google Assistant supports both text

or voice entry and it will follow the conversation whichever entry method you're using. Google

Assistant offers voice commands, voice searching, and voice-activated device control, letting

you complete a number of tasks after you've said the "OK Google" or "Hey, Google" wake

words. It is designed to give you conversational interactions. This definition from (Julius Adorf-

May 27, 2013).

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2.2.5 Google Cloud Speech-to-Text

Figure 2.2.5 Google Cloud Speech-to-Text

Refer figure 2.2.5 from (https://cloud.google.com/speech-to-text/), Google Cloud Speech-

to-Text enables developers to convert audio to text by applying powerful neural network

models in an easy-to-use API. The API recognizes 120 languages and variants to support your

global user base. You can enable voice command-and-control, transcribe audio from call

centers, and more. It can process real-time streaming or pre recorded audio, using Google’s

machine learning technology.

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2.3 Techniques for Speech Recognition

Speech recognition can capture the word you say and type it on a computer. It can be

helpful to the people who are physically disabled and for those who cannot work on the

computer. Speech recognition is the ability of a machine or program to identify words and

phrases in spoken language and convert them to a machine readable format and known as

automatic speech recognition. In other words, rather than using a keyboard to communicate

with the computer, the user speaks commands into a microphone that is connected to a

computer. The technique use is Web Speech API to designed for speech analysis and speech

synthesis. It allows web users to send speech input to web applications. The web applications

use the Web Speech API to transform the speech into text. While mobile phone users have

become used to a speech as a new input method, it is currently uncommon to see voice-

controlled web applications. Altogether, the speech recognizer has difficulties with many of

the sentences. The sentences are difficult, at least when judged by a human listener. They sound

uncommon and are sometimes difficult to understand for non-native English speakers. How

this relates to the difficulty level for machine understanding is out of scope of this work. This

definition from (Julius Adorf- May 27, 2013).

2.4 Conclusion

In conclusion, literature review gave details understanding or assumption on the

developer documentation. It involves some of research and studies that are done by other

people which are related to the project. Based on the research, the flow to develop this project

can be seen clearly throughput the system development process.

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CHAPTER 3

METHODOLOGY

3.1 Introduction

Suitable project methodology play an important role to ensure the research can be done

well. This chapter will focus on project methodology used to run this project. Research on this

topic is made understand how Laundry Digital Ordering System using Speech Recognition

works using Agile Model. The type of research methodology used in this project will be

described. Futhermore, this methodology is used to ensure that the project can fulfil the

objective of this project and to make sure the system can be accomplished completely.

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3.2 Project Methodology

Methodology is method used in develop a system and defined as a set of procedures.

This chapter will cover on methodology that used based in research that have been done. Project

system of Laundry Digital Ordering System is using Agile methodology. This chapter will fully

explain to achieve the project’s objectives that have been mention earlier in this research report.

Methodology is important part to make sure the system can be accomplished successfully.

Figure 3.2 Agile Methodology

3.2.1 Requirement Phase

In this phase, the project title had been selected. The project title for the system was

Laundry Digital Ordering System. This project starting with brainstorming ideas with

supervisor and proposed the title of the project. An abstract and description of the project

module has also been done and attached. Besides, the Gantt chart also needed as a guideline

and references for the project. The phase is to analyse the existing system and the article of

technique or method that are needed to design and develop to the new system. Based on the

collection of information through article, method and technique that is suitable been decided.

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3.2.2 Design Phase

In the design phase, all the data or requirement obtained during planning and analysis

phase transformed into the design . Diagrams to show the flow of the system will be develop

in this chapter such as Context Diagram (CD), Data Flow Diagram (DFD) Level 0 and 1, Entity

Relationship Diagram (ERD). These diagram are designed as a guideline to developing the

system. After that, will be design the database and system interface.

3.2.3 Development Phase

This phase is where the design will implement into the coding. This system will develop

regarding the user and system requirement. In this project, to develop the system will be use

Xampp server for the database and Laravel as a framework. This is a critical phase because

user part needed to be fulfils and to make sure the objective accomplish.

3.2.4 Testing Phase

When all the module has to be done as full system, the system testing has been carried

out. This testing phase will test the system to check the error and ensure the function run well

as a whole system. Any error or bugs will be fixed and repeated testing the system until all the

function can be use.

3.2.5 Deployment Phase

This phase is when the system has successfully done and fulfil all the objective. The

system can be deployed and finally the system will be publish to the user for use as their need.

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3.2.6 Review Phase

This phase also get feedback and review from user for the maintenance. In this phase

will follow-up with user tp upgrade the system to another version in the future.

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3.3 Gantt Chart

3.3 Table of Gantt Chart

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N

O

WEEK/

ACTIVITIES

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

1 Topic

Discussion and

Determination

2 Project Title

Proposal

3 Proposal

Writing –

Introduction

4 Proposal

Writing –

Literature

Review

5 Proposal

Writing

(Continued)

6 Proposal

Progress

Presentation and

Panel’s

Evaluation

7 Methodology

Workshop

8 Proposal

Writing -

Methodology

9 Final Year

Project Format

Writing

Workshop

10 Drafting Report

of Proposal

11 Submit Draft of

Report to

Supervisor

12 Preparation for

Final

Presentation

13 Final

Presentation and

Panel’s

Evaluation

14 Final Report

Submission

3.4 Project Requirement

In this project the requirement includes two parts which are software requirement and

hardware requirement. The project requirements to make sure the completion process well and

every aspect requirement that need to be use for implementation phase. This also to ensure the

correct usage of the application.

3.4.1 Hardware Requirement

No. Hardware Description

1. Laptop LENOVO IDEAPAD

2. Processor Intel (R) Core (TM) i5-7200u CPU

2.50Ghc 2.70Ghz

3. Memory 4GB RAM

4. Operating System Windows 10

5. System Type 64-bit Operating Sytem

6. Pen Drive Kingston 16GB

7. Mobile Phone IPHONE 7PLUS

Table 3.4.1 List of hardware requirement

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3.4.2 Software Requirement

No. Software Description

1. Notepadd++ Used to code the program, especially

connection application to database

2. Java,XML,PHP Programming language

3. MYSQL Database for system

4. Microsoft Word 2016 Used to do documentation of

application

5. Google Chrome A browser to run the localhost and

searching information

Table 3.4.2 List of software requirement

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3.5 PROCESS MODEL

3.5.1 Context Diagram

Figure 3.5.1 Context Diagram

The figure 3.5.1 show the context diagram (CD) of the system. This CD describe about

overview of the system work. There are three entities involved that are customer, staff and

admin. The customer can make an order to the system. Then the customer must register to the

system when they proceed to use the service.

While the staff site, they can see the order details from customer then update the process

order in the system. Admin can manage the data about the system. With this data, admin can

update and delete information user.

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3.5.2 Data Flow Diagram

Figure 3.5.2 Data Flow Diagram

The figure 3.5.2 shows the Data Flow Diagram (DFD)of the system in more detail. The

system carried out four processes. The core of this system in fourth process. The fourth process

includes three entities which are customer, staff and admin. The ability of customer only can

know the status while staff and admin can update the data beside know the process.

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3.5.3 Data Flow Diagram Level 1

Figure 3.5.3 Manage Booking Process Level1

Figure 3.5.3 below show DFD Level 1 for customer manage order which is customer can add,

update and delete order from the system.

Figure 3.5.3.1 Manage Conversation Process Level 1

Figure 3.5.3.1 below show DFD Level 1 for admin can manage conversation which

is admin also can add and delete the conversation.

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3.5.4 Entity Relationship Diagram

Figure 3.5.4 Entity Relationship Diagram

The figure 3.5.4 shows the Entity Relationship Diagram (ERD) for this system. ERD is

a data modelling technique that can help define business processes and can be utilized as the

basis a relational database. In this system, the developer need to create six of entities

represented six tables into database. Each entity has their own attributes shown in figure 3.5.4

The relationship between entities explain the process that will carry out by every entity. This

entity relationship diagram also explains the data that needed to run application successfully.

The figure also shown the different role between customer, staff and admin in more detail.

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3.6 Data Dictionary

Entity Attribute Description Data

Type

Size Remark

Admin adminId Identification of

admin

int 11 PK

password

Password admin

to login

varchar 10

adminName Name of admin varchar 255

Customer custId Identification of

customer

int 11 PK

Order orderId Identification of

order

int 11 PK

voiceid Identification of

voice

int 11 FK

custId Identification of

customer

int 11 FK

staffId Identification of

staff

int 11 FK

serviceId Identification of

service

int 11 FK

status Status of order varchar 255

quantity Quantity of order varchar 255

date Date of order Datetime

Staff staffId Identification of

staff

int 11 PK

staffName Name of staff varchar 255

password Password to staff

login

varchar 10

orderId Identification of

order

int 11 FK

Service serviceId Identification of

service

int 11 PK

serviceName Name of service varchar 255

Conversation voiceId Identification of

conversation

int 11 PK

sequence Name of process

conversation

varchar 11

adminId Identification of

admin

int 11 FK

Table 3.6 of Data Dictionary

3.6 Conclusion

This chapter dicussed the model methodology approach to be use in the development

system. Methodology that been used for this project is Agile Methodology that explain about

six phase. This chapter so include Context Diagram CD Data Flow Diagram DFD and Entity

Relationship Diagram ERD. The diagram explains about process or step A to Z to develop

System.

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REFERENCE

[1] Amanina Bt Abu Hassan, “ Laundry Broker System”, University of Sultan Zainal Abidin,

(2015).

[2] Abdul Latif Bin Alias, “ One Click Laundry Mobile Application”, University of Sultan

Zainal Abidin, (2015).

[3] Nurul Amirah Syuhada Binyti Yaacob , “ Speech To Text To Voice Using Authentication

Melfrequency Cepstral Coeficient”, University of Sultan Zainal Abidin, (2018).

[4] Noor Azizan Bin Nor Azli, “ School Attendance Via Voice Recognition By Using

Android Based”, University of Sultan Zainal Abidin, (2018).

[5] Zalilawati Binti Ghazali, “ Laundry Management System”, University of Teknologi

Malaysia, (2008).

[6] Mozilla Developer, “ How to Use Web Speech API ”, Web Technology Developer,

March 2019.

[7] Julius Adorf, “ Wep Speech Api”, KTH Royal Institute of Technology, (2013).

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