GIS Based Crime Analysis System.
BORANG PENGESAHAN STATUS TESIS
JUDUL: GIS BASED CRIME ANALYSIS SYSTEM
SESI PENGAJIAN : 2007/2008
Saya KAMIL HASSAN BIN AHMAD SUKKRI
Mengaku membenarkan tesis (PSM/sarjana/Doktor Falsafah) ini disimpan di Perpustakaan
Fakulti Teknologi Maklumat dan Komunikasi dengan syarat-syarat kegunaa seperti berikut:
1. Tesis dan projek adalah hakmilik Universiti Teknikal Malaysia Melaka.
2. Perpustakaan Fakulti Teknologi Maklumat dan Komunikasi dibenarkan membuat salinan
untuk tujuan pengajian sahaja
3. Perpustakaan Fakulti Teknologi Maklumat dan Komunikasi dibenarkan membuat salinan
tesis ini sebagai bahan pertukaran antara institusi pengajian tinggi.
4.
** Sila tandakan (/)
(Mengandungi maklumat yang berdarjah
SULIT
keselamatan atau kepentingan Malaysia
seperti yang termaktub di dalam AKTA
RAHSIA RASMI 1972)
TERHAD
(Mengandungi maklumat TERHAD yang
te1ah ditentukan o1eh organisasi!badan di
mana penyelidikan dijalankan
ｾ
ｔｅｒｈａｄ＠
ｾ＠
(TANDATANGAN PENULIS)
(/;trwQ
(TANDA TANGAN PENYELIA)
PROFESOR MADYA DR NANNA
Alarnat tetap:
N 26, Jalan Lundu 1,
SURYANA
Taman Beringin, Jinjang
Kuala Lumpur
Tarildl: 12 November 2007
Tarikh: 12 November 2007
© Universiti Teknikal Malaysia Melaka
GIS BASED CRIME ANALYSIS SYSTEM
KAMIL HASSAN BIN AHMAD SUKKRI
This report is submitted in partial fulfillment of the requirements for the Bachelor of
Computer Science (Software Development)
FACULTY OF INFORMATION AND COMMUNICATION TECHNOLOGY
UNNERSITI TEKNIKAL MALAYSIA :MELAKA
2007
© Universiti Teknikal Malaysia Melaka
DECLARATION
I hereby declare that this project report entitled
GIS BASED CRIME ANALYSIS SYTEM
Is written by my own effort and that no part has been plagiarized
without citations.
Date: 1 'Z / I 1/ ｵＺ［｣
STUDENT
(KAMIL
SUPERVISOR:
AN BIN AHMAD SUKKRJ)
ｷ ｾ＠
ｾ＠
Date:
(PROFESOR MADYA DR NANNA SURYANA)
© Universiti Teknikal Malaysia Melaka
ｾ＠ 1-
DEDICATION
To all my beloved family and friends
Whose boundless love and support replenishes and enriches my soul to complete this thesis.
Thanks for being my inspiration and encouragement
© Universiti Teknikal Malaysia Melaka
ACKNOWLEDGE:M:ENTS
It's my greatest pleasure to acknowledge these people whose name may or may
not appear in the product, but whose hard work, guidance, cooperation, friendship and
understanding were crucial to the development of this report. Many people have devoted
long hours for this report. Without them, this report would not have been possible. J have
tried to reflect this in the acknowledgement, but if there have been any omissions, my
sincerely apologize for the oversight.
This report was prepared under the general direction and being supervised by my
supervisor, Pn Nurazl ina Bt Mohd Sanusi, who totally has given a lot of effort giving
comments and guidance to ensure that the report being done successfully. Her advices and
opinions have leaded me to develop this report in proper way. Under a tight time schedule,
she scrutinizes every aspect of the project and made countless suggestions for improving the
accuracy and the completeness of the report. She was the one who always there to help me in
any kind of time.
Thanks to my friends for always supporting and sharing knowledge with me. Their
opinion and positive critics have built confidents in me.
Thank you very much to all for improving the quality of the report. As well as people
who will use the project that will be developed, I would sincerely appreciate your comments,
criticisms, corrections and suggestions for improving the project.
© Universlti Teknikal Malaysia Melaka
ABSTRACT
FTMK Industrial Training System (FITPS) is base on latest technology where
management becomes easier, quicker and more efficient. FITPS is a complete web based
system for administrator, student, and industry to help FTMK in better management in
placement industry training for FTMK student. By the way the flexible features can
support multiple users enables them to apply industry training through on this system .
© Universlti Teknikal Malaysia Melaka
ii
ａｃｋｎｏｾＧｌｅｄｇｍｔ＠
First of all, I would like to express my gratitude to all those who gave me the
possibility to complete this documentation. I want to thank my lecturer,
Puan
Zahriah bt Othman and Puan Safiza Suhana bt Kamal Baharin for proposing this
project to me. Both them contribute many resources and ideas in developing the
system.
I am deeply indebted to my supervisor Professor Madya Dr. Nanna Suryana
whose help, stimulating suggestions and encouragement helped me in all the time of
Projek Sarjana Muda (PSM) for and writing of this docwnentation.
I would be remiss if I did not thank to all my friends, who gave me supports
and encouraged me in order to complete this report as well. The supports are always
making me strong and though enough to encounter any issues regarding the PSM
itself.
© Universiti Teknikal Malaysia Melaka
ABSTR.A.CT
GIS Based Crime Analysis System is developed for Jaw enforcement in order
to solve the problem willie using the current system. TI1e cuiTent system is truly
unsatisfied whlch made the Jaw enforcement suffer to analyze the crime data and
problem in filing the system. The system not only makes the work faster but also it
can store the complain and investigation information and produce statistic in various
form. While developing the system, the SSADM approach were used where
Waterfall model as the methodology. The system is programmed using Coldfusion
and combined with Adobe Flash running on Apache ·web server and Windows. At
the end of development, hope that the system can help the law enforcement to
combat the crime and reduce the crime rate at the future.
© Universiti Teknikal Malaysia Melaka
Ｎ ｾｓｔｒａｋ＠
Sistem Analisa Jenayah dengan GIS (GIS Based Crime Analysis System)
adalah dibangunkan untuk penguatkuasa undang-undang untuk menyelesaikan
masalah yang dihadapi ketika menggunakan sistem yang sedia ada. Sistem yang
sedia ada adalah kurang memuaskan dimana ia menyukarkan keija penganalisaan
dan pen.failan. Sistem ini bukan sahaja mempercepatkan kerja, ia boleh diguna pakai
untuk menyimpan rekod aduan dan maklumat siasatan, ia juga boleh meghasilkan
laporan statistic berbentuk jadual dan maklumat pemetaan jenayah. Ketika
pembangunan sistem ini, ia menggunakan kaedal1 Analisa Sistem Berstruktur dan
Rekabentuk (SSADM) dimana ia menggunakan Watezfall model sebagai metodologi
sistem. Sistem ini dikarang menggunakan Coldfusion dan digabungkan dengan
Adobe Flash diatas pelayan Apache dan Windows. Dengan terbinanya sistem ini
ke1ak, diharap ia dapat membantu penguatkuasa undang-undang agar dapat
memerangi dan mengurangkan kadar jenayah di masa hadapan.
© Universiti Teknikal Malaysia Melaka
IV
TABLE OF CONTENTS
CHAPTER
SUBJECT
PAGE
ACKNOWLEDGEMENTS
ABSTRACT
ii
ABSTRAK
iii
TABLE OF CONTENTS
iv
LIST OFTABLES
,,ii
LIST OF FIGURES
,,iii
LIST OF ABBREVIATONS
X
LIST OF ATTACHMENTS
xi
CHAPTER I
1
1.1
Project Background
1
1.2
Problem Statement
2
1.3
Scope
4
1.3.1
Target User
4
1.3.2 Modules
4
1.3.3 Where to Implement the System
5
1.3.4 Specific Platform
5
1.4
Project Significant
© Universiti Teknikal Malaysia Melaka
5
v
1.5
Expected Output
5
1.6
Conclusion
6
CHAPTER II
8
2.1
Introduction
8
2.2
Fact and Finding
9
2.2.1 Domain
9
2.2.2 Existing System
9
2.2.3 Teclmique
16
2.3
Project Methodology
19
2.3.1
Waterfall Model
20
2.4
Project Requirement
23
2.4.1
Software Requirement
23
2.4.2 Hardware Requirement
24
2.5
Project Schedule and Milestone
25
2.6
Conclusion
27
CHAPTER III
28
3.1
Introduction
28
3.2
Problem Analysis
28
3.3
Requirement Analysis
30
3.3.1 Data Requirement
30
3.3.2 Functional Requirement
30
3.3.3 Non-functional Requirement
38
3.3.4 Other Requirement
38
3.4
41
Conclusion
42
CHAPTER IV
4.1
Introduction
42
4.2
High Level Design
42
© Universiti Teknikal Malaysia Melaka
VI
4.2.1
System Architecture
43
4.2.2 User Interface Design
44
4.2.3 Database Design
58
4.3
Detailed Design
67
4.3.1 Softvvare Specification
67
4.3.2 Physical Database Design
74
4.4
80
Conclusion
81
CHAPTERV
5.1
Introduction
81
5.2
Software Development Environment Setup
82
5.2.1
Preparation of Development Environment
82
5.2.2
ｓｯｦｵｾ＾Ｎ
82
Ｇ ｡ｲ･＠
and Hardware Acquisition
5.2.3 Overview of Development Setup
83
5.3
Software Configuration Management
89
5.3.1
Configuration Enviromnent Setup
89
5.3.2 Version Control Procedure
89
5.4
Implementation Status
92
5.5
Conclusion
93
94
CHAPTER VI
6.1
Introduction
94
6.2
Test Plan
94
6.2.1 Test Organization
95
6.2.2 Test Environment
95
6.2.3 Test Schedule
96
6.3
97
Test Strategy
6.3.1 Classes of Test
97
6.4
98
Test Design
© Universiti Teknikal Malaysia Melaka
VII
6.4.1 Test Description
99
6.4.2 Test Data
101
6.5
Test Result and Analysis
102
6.6
Conclusion
102
CHAPTER VII
103
7.1
Observation on Weaknesses and StTengths
103
7.2
Propositions for Improvement
104
7.3
Contribution
104
7.4
ConcJusion
105
REFERENCES
106
APPENDIX A GANTT CHART
108
APPENDIX B USER MANUAL
111
APPENDIX C CURRENT SYSTEM SAMPLE REPORT
126
© Universiti Teknikal Malaysia Melaka
Vlll
LIST OF TABLES
TABLE
TITLE
Table 2.1:
Software requirement during development
23
Table 2.2:
Software requirement for server
23
Table 2.3:
Software requirement for client
23
Table 2.4:
Hardware requirement of sen'er
24
Table 2.5:
lvfilestone for GIS Based Crime Analysis System
25
Table3.1:
Functional requirement of Crime Analysis System
30
Table 3.2:
Non-functional Requirement
38
Table 3.3:
Nen,.rork Requirement
41
Table 4.1:
Input Designs
53
Table 4.2:
Example of Comparison between two ranges of month (.Tan-2007 to
PAGE
May-2007) and (Jun-2007 to Dec-2007)) in Statistic module.
56
Table 4.3:
Logical Database design data
62
Table 5.1:
GIS Based Crime Analysis System versioning
90
Table 5.2:
Crime Analysis System
92
Table 6.1 :
Crime Analysis Enviroment Setup
95
Table 6.2:
Crime Analysisi System with GIS and sub component
96
Table 6.3:
Test Schedule
96
Table 6.4:
Test data (Pengadu)
101
Table 6.5 :
Test Case Result
102
© Universiti Teknikal Malaysia Melaka
JX
LIST OF FIGURES
TABLE
TITLE
PAGE
Figure 2.1: Tally system mark
10
Figure 2.2: Mapping the crime into map using thumbnail
11
Figure 2.3: The integration of Analyst's Workstation with 4 element of system.
13
Figure 2.4: iBase, the main application
13
Figure 2.5 : Analysis Notebook
14
Figure 2.6: iBase GIS Interfaces
15
Figure 2. 7: Waterfall Model
20
Figure 3.1: System decomposition diagram of Crime Analysis System
32
Figure 3.2: Context Diagram for Crime Analysis System
33
Figure 3.3: Level 0 DFD for Crime Analysis System
34
Figure 3.4: Levell DFD for process 1, Administration
35
Figure 3.5: Level 1 DFD for process 2, Complain
35
Figure 3.6: Level 1 DFD for process 3, Investigation and Summary
36
Figure 3.7: Level4 DFD for process 4, Statistic
36
Figure 3.8: Levell DFD for process 5, Crime Mapping
37
Figure 4.1: The Three-tier Architecture
43
Figure 4.2: Network Architecture
44
Figure 4.3: Login page design
45
Figure 4.4: Horne page
45
Figure 4.5: Insert new complain design
46
figure 4.6: Insert new reporter form
47
© Universiti Teknikal Malaysia Melaka
X
Figure 4.7: RJH information
47
Figure 4.8: Address Picker
48
Figure 4.9: RJH Details
48
Figure 4.10: Upload photo in RJH
49
Figure 4.11 : Statistic Example
49
Figure 4.1 2: Chart Example in statistic
50
Figure 4.13: Map Application
so
Figure 4.14: Address Mapper
51
Figure 4.15: Navigation flow of GIS Based Crime Analysis System
52
Figure 4.16: Output of Map Application
57
Figure 4.17: Entity Relationship Diagram
59
Figure 5.1 : Overview of Development Setup
84
Figure 5.2: Installation wizard of Apache
85
Figure 5.3 : Installation success
86
Figure 5.4: Selecting Server Configuration at the
Installer Configuration screen.
87
Figure 5.5: Selecting component to be installed as services
87
Figure 5.6: Selecting the Built-in Server option at the Configure
·w eb Server screen
88
Figure 5.7: Configw·e web server
88
Figure 6.1: Sample of Unit Test Cases Form
© Universiti Teknikal Malaysia Melaka
100
XI
LIST OF ABBREVIATONS
DBMS
- Database Management System
DFD
-Data Flow Diagram
EMIS
-Education Management and Information System
ERD
- Entity Relationship Diagram
FK
- Foreign Key
GUI
-Graphical User Interface
IE
- Internet Explorer
LAN
- Local Area Network
OOADM
- Object Oriented Analysis and Design Method
PK
- Primary Key
PSARSS
- Primary School Achievement Retrieval Support System
SDLC
- Software Development Life Cycle
SSADM
- Structured Systems Analysis and Design Method
UTeM
- Universiti Teknikal Malaysia Melaka
RJH
- Ringkasan Jenayah Harian
© Universiti Teknikal Malaysia Melaka
CH..rtract
the data into statistic form. If they want to make a report or analysis, the police
officer needs to open every single file in the cabinet to find the file. They also facing
problem to maintain the database because they don' t have a centralized database. All
method that they used above is time consuming roughly. Thus, the achievements of
combating crime are slow and this is not good.
The current system they have cannot generate report and they need to do it
manually. The way they use now would be primjtive as they must count manually on
crime cases to make statistic.
In order to combat crime more effective, v. re proposed to use crime mapping.
Crime mapping can help in defining which the 'hotspot' of crime is. Apparently, they
have to use paper map and mark the location of crime using thumbnail, thus by
looking at density of the thumbnail, they may target the area are hotspot.
© Universiti Teknikal Malaysia Melaka
3
Objective
•
To develop GIS Based Crime Analysis System
GIS Based Crime Analysis will be developed through this PSM course.
•
To manage police complain and investigation iT?formation.
All basic transaction such as add, update and search can be done by user
within the system.
•
To produce statistical analysis
System can produce various type of statistic depend of user's requirement.
•
To integrate the analysis with geographical display.
The system will automatically generate map with crime statistic.
•
To make data processing better and work faster.
The system will be better and faster in data processing and accessing. The
fact that it is an online system will make it accessible anyv·.rhere if there is an
intemet connection. Tllis will make police work become easier and faster to
solve crime. By making crime analysis, the chances of crime prevent is high.
© Universiti Teknikal Malaysia Melaka
4
1.3
Scope
Scopes of GIS Based Crime Analysis System include the target user, modu les
of the system, specific platform and resources.
1.3.1
Target User
The target user will be police officer in police department. They are divided to three
types of user:
a. Complain Receh,er.
This user can input complain information that received from crime
infonner.
b. Investigator.
This user has higher level than Complain Receiver user. Not only can
access complain infom1ation, this user can manage investigation
information.
c.
Administrator.
User that highest level in system . This user can access all area in
system and manage user infonnation.
1.3.2 :M odules
a. Complain
User can insert and update information of complain of crime here.
b. Investigation
Investigator may key in infonnation of cases here.
c. Statistic
Users can generate statistic base on user's defme.
d. Afap Statistic
Location of crime can be marked on map.
© Universiti Teknikal Malaysia Melaka
5
1.3.3 'Vhere to Implement the System
GIS Based Crime Analysis System is developed to be used at Ibu Pejabat
Polis Daerah Melaka Tengah (IPD Melaka Tengah) which are required by them to do
analysis.
1.3.4
Specific Platform
The operating systems that use for this project are Microsoft Windows
operating system. It can be Windows XP Professional, Windows Server 2003 or
Windows 2000. This platform required Coldfusion MX 7 to be installed.
1.4
Project Significant
Thls project can give many benefits to police department and society. The
system can be used as tool to analyze and make decision of the spatial pattern and
processes of crime. If they able to find the crime pattern including hot spot area in
fast way, it would assist their patrol and increase their prevention activities.
J.5
Expected Output
As the system complete, user may able to record the report into database, print
them and they can input further detail about investigation information. After the
information of crime has recorded, the analysis of the system can be produced
whether in statistical data or in geographical data.
© Universiti Teknikal Malaysia Melaka
6
Lei
Conclusion
Advances in computer technology and analytical techniques have given crime
analyst increasingly powerful toolboxes which to find the spatial pattern and
processes crime. By using the system, it can help to save time cost. increase crime
management capability and to empower the law enforcement organization. The next
chapter will discuss about literature review and methodology. The literature review is
very important in order to know others system features and somehow make
comparison between the existing system and the performed system. In addition, the
chapter is also di scusses methodology that will be used by the project
© Universiti Teknikal Malaysia Melaka
© Universiti Teknikal Malaysia Melaka
JUDUL: GIS BASED CRIME ANALYSIS SYSTEM
SESI PENGAJIAN : 2007/2008
Saya KAMIL HASSAN BIN AHMAD SUKKRI
Mengaku membenarkan tesis (PSM/sarjana/Doktor Falsafah) ini disimpan di Perpustakaan
Fakulti Teknologi Maklumat dan Komunikasi dengan syarat-syarat kegunaa seperti berikut:
1. Tesis dan projek adalah hakmilik Universiti Teknikal Malaysia Melaka.
2. Perpustakaan Fakulti Teknologi Maklumat dan Komunikasi dibenarkan membuat salinan
untuk tujuan pengajian sahaja
3. Perpustakaan Fakulti Teknologi Maklumat dan Komunikasi dibenarkan membuat salinan
tesis ini sebagai bahan pertukaran antara institusi pengajian tinggi.
4.
** Sila tandakan (/)
(Mengandungi maklumat yang berdarjah
SULIT
keselamatan atau kepentingan Malaysia
seperti yang termaktub di dalam AKTA
RAHSIA RASMI 1972)
TERHAD
(Mengandungi maklumat TERHAD yang
te1ah ditentukan o1eh organisasi!badan di
mana penyelidikan dijalankan
ｾ
ｔｅｒｈａｄ＠
ｾ＠
(TANDATANGAN PENULIS)
(/;trwQ
(TANDA TANGAN PENYELIA)
PROFESOR MADYA DR NANNA
Alarnat tetap:
N 26, Jalan Lundu 1,
SURYANA
Taman Beringin, Jinjang
Kuala Lumpur
Tarildl: 12 November 2007
Tarikh: 12 November 2007
© Universiti Teknikal Malaysia Melaka
GIS BASED CRIME ANALYSIS SYSTEM
KAMIL HASSAN BIN AHMAD SUKKRI
This report is submitted in partial fulfillment of the requirements for the Bachelor of
Computer Science (Software Development)
FACULTY OF INFORMATION AND COMMUNICATION TECHNOLOGY
UNNERSITI TEKNIKAL MALAYSIA :MELAKA
2007
© Universiti Teknikal Malaysia Melaka
DECLARATION
I hereby declare that this project report entitled
GIS BASED CRIME ANALYSIS SYTEM
Is written by my own effort and that no part has been plagiarized
without citations.
Date: 1 'Z / I 1/ ｵＺ［｣
STUDENT
(KAMIL
SUPERVISOR:
AN BIN AHMAD SUKKRJ)
ｷ ｾ＠
ｾ＠
Date:
(PROFESOR MADYA DR NANNA SURYANA)
© Universiti Teknikal Malaysia Melaka
ｾ＠ 1-
DEDICATION
To all my beloved family and friends
Whose boundless love and support replenishes and enriches my soul to complete this thesis.
Thanks for being my inspiration and encouragement
© Universiti Teknikal Malaysia Melaka
ACKNOWLEDGE:M:ENTS
It's my greatest pleasure to acknowledge these people whose name may or may
not appear in the product, but whose hard work, guidance, cooperation, friendship and
understanding were crucial to the development of this report. Many people have devoted
long hours for this report. Without them, this report would not have been possible. J have
tried to reflect this in the acknowledgement, but if there have been any omissions, my
sincerely apologize for the oversight.
This report was prepared under the general direction and being supervised by my
supervisor, Pn Nurazl ina Bt Mohd Sanusi, who totally has given a lot of effort giving
comments and guidance to ensure that the report being done successfully. Her advices and
opinions have leaded me to develop this report in proper way. Under a tight time schedule,
she scrutinizes every aspect of the project and made countless suggestions for improving the
accuracy and the completeness of the report. She was the one who always there to help me in
any kind of time.
Thanks to my friends for always supporting and sharing knowledge with me. Their
opinion and positive critics have built confidents in me.
Thank you very much to all for improving the quality of the report. As well as people
who will use the project that will be developed, I would sincerely appreciate your comments,
criticisms, corrections and suggestions for improving the project.
© Universlti Teknikal Malaysia Melaka
ABSTRACT
FTMK Industrial Training System (FITPS) is base on latest technology where
management becomes easier, quicker and more efficient. FITPS is a complete web based
system for administrator, student, and industry to help FTMK in better management in
placement industry training for FTMK student. By the way the flexible features can
support multiple users enables them to apply industry training through on this system .
© Universlti Teknikal Malaysia Melaka
ii
ａｃｋｎｏｾＧｌｅｄｇｍｔ＠
First of all, I would like to express my gratitude to all those who gave me the
possibility to complete this documentation. I want to thank my lecturer,
Puan
Zahriah bt Othman and Puan Safiza Suhana bt Kamal Baharin for proposing this
project to me. Both them contribute many resources and ideas in developing the
system.
I am deeply indebted to my supervisor Professor Madya Dr. Nanna Suryana
whose help, stimulating suggestions and encouragement helped me in all the time of
Projek Sarjana Muda (PSM) for and writing of this docwnentation.
I would be remiss if I did not thank to all my friends, who gave me supports
and encouraged me in order to complete this report as well. The supports are always
making me strong and though enough to encounter any issues regarding the PSM
itself.
© Universiti Teknikal Malaysia Melaka
ABSTR.A.CT
GIS Based Crime Analysis System is developed for Jaw enforcement in order
to solve the problem willie using the current system. TI1e cuiTent system is truly
unsatisfied whlch made the Jaw enforcement suffer to analyze the crime data and
problem in filing the system. The system not only makes the work faster but also it
can store the complain and investigation information and produce statistic in various
form. While developing the system, the SSADM approach were used where
Waterfall model as the methodology. The system is programmed using Coldfusion
and combined with Adobe Flash running on Apache ·web server and Windows. At
the end of development, hope that the system can help the law enforcement to
combat the crime and reduce the crime rate at the future.
© Universiti Teknikal Malaysia Melaka
Ｎ ｾｓｔｒａｋ＠
Sistem Analisa Jenayah dengan GIS (GIS Based Crime Analysis System)
adalah dibangunkan untuk penguatkuasa undang-undang untuk menyelesaikan
masalah yang dihadapi ketika menggunakan sistem yang sedia ada. Sistem yang
sedia ada adalah kurang memuaskan dimana ia menyukarkan keija penganalisaan
dan pen.failan. Sistem ini bukan sahaja mempercepatkan kerja, ia boleh diguna pakai
untuk menyimpan rekod aduan dan maklumat siasatan, ia juga boleh meghasilkan
laporan statistic berbentuk jadual dan maklumat pemetaan jenayah. Ketika
pembangunan sistem ini, ia menggunakan kaedal1 Analisa Sistem Berstruktur dan
Rekabentuk (SSADM) dimana ia menggunakan Watezfall model sebagai metodologi
sistem. Sistem ini dikarang menggunakan Coldfusion dan digabungkan dengan
Adobe Flash diatas pelayan Apache dan Windows. Dengan terbinanya sistem ini
ke1ak, diharap ia dapat membantu penguatkuasa undang-undang agar dapat
memerangi dan mengurangkan kadar jenayah di masa hadapan.
© Universiti Teknikal Malaysia Melaka
IV
TABLE OF CONTENTS
CHAPTER
SUBJECT
PAGE
ACKNOWLEDGEMENTS
ABSTRACT
ii
ABSTRAK
iii
TABLE OF CONTENTS
iv
LIST OFTABLES
,,ii
LIST OF FIGURES
,,iii
LIST OF ABBREVIATONS
X
LIST OF ATTACHMENTS
xi
CHAPTER I
1
1.1
Project Background
1
1.2
Problem Statement
2
1.3
Scope
4
1.3.1
Target User
4
1.3.2 Modules
4
1.3.3 Where to Implement the System
5
1.3.4 Specific Platform
5
1.4
Project Significant
© Universiti Teknikal Malaysia Melaka
5
v
1.5
Expected Output
5
1.6
Conclusion
6
CHAPTER II
8
2.1
Introduction
8
2.2
Fact and Finding
9
2.2.1 Domain
9
2.2.2 Existing System
9
2.2.3 Teclmique
16
2.3
Project Methodology
19
2.3.1
Waterfall Model
20
2.4
Project Requirement
23
2.4.1
Software Requirement
23
2.4.2 Hardware Requirement
24
2.5
Project Schedule and Milestone
25
2.6
Conclusion
27
CHAPTER III
28
3.1
Introduction
28
3.2
Problem Analysis
28
3.3
Requirement Analysis
30
3.3.1 Data Requirement
30
3.3.2 Functional Requirement
30
3.3.3 Non-functional Requirement
38
3.3.4 Other Requirement
38
3.4
41
Conclusion
42
CHAPTER IV
4.1
Introduction
42
4.2
High Level Design
42
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VI
4.2.1
System Architecture
43
4.2.2 User Interface Design
44
4.2.3 Database Design
58
4.3
Detailed Design
67
4.3.1 Softvvare Specification
67
4.3.2 Physical Database Design
74
4.4
80
Conclusion
81
CHAPTERV
5.1
Introduction
81
5.2
Software Development Environment Setup
82
5.2.1
Preparation of Development Environment
82
5.2.2
ｓｯｦｵｾ＾Ｎ
82
Ｇ ｡ｲ･＠
and Hardware Acquisition
5.2.3 Overview of Development Setup
83
5.3
Software Configuration Management
89
5.3.1
Configuration Enviromnent Setup
89
5.3.2 Version Control Procedure
89
5.4
Implementation Status
92
5.5
Conclusion
93
94
CHAPTER VI
6.1
Introduction
94
6.2
Test Plan
94
6.2.1 Test Organization
95
6.2.2 Test Environment
95
6.2.3 Test Schedule
96
6.3
97
Test Strategy
6.3.1 Classes of Test
97
6.4
98
Test Design
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VII
6.4.1 Test Description
99
6.4.2 Test Data
101
6.5
Test Result and Analysis
102
6.6
Conclusion
102
CHAPTER VII
103
7.1
Observation on Weaknesses and StTengths
103
7.2
Propositions for Improvement
104
7.3
Contribution
104
7.4
ConcJusion
105
REFERENCES
106
APPENDIX A GANTT CHART
108
APPENDIX B USER MANUAL
111
APPENDIX C CURRENT SYSTEM SAMPLE REPORT
126
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Vlll
LIST OF TABLES
TABLE
TITLE
Table 2.1:
Software requirement during development
23
Table 2.2:
Software requirement for server
23
Table 2.3:
Software requirement for client
23
Table 2.4:
Hardware requirement of sen'er
24
Table 2.5:
lvfilestone for GIS Based Crime Analysis System
25
Table3.1:
Functional requirement of Crime Analysis System
30
Table 3.2:
Non-functional Requirement
38
Table 3.3:
Nen,.rork Requirement
41
Table 4.1:
Input Designs
53
Table 4.2:
Example of Comparison between two ranges of month (.Tan-2007 to
PAGE
May-2007) and (Jun-2007 to Dec-2007)) in Statistic module.
56
Table 4.3:
Logical Database design data
62
Table 5.1:
GIS Based Crime Analysis System versioning
90
Table 5.2:
Crime Analysis System
92
Table 6.1 :
Crime Analysis Enviroment Setup
95
Table 6.2:
Crime Analysisi System with GIS and sub component
96
Table 6.3:
Test Schedule
96
Table 6.4:
Test data (Pengadu)
101
Table 6.5 :
Test Case Result
102
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JX
LIST OF FIGURES
TABLE
TITLE
PAGE
Figure 2.1: Tally system mark
10
Figure 2.2: Mapping the crime into map using thumbnail
11
Figure 2.3: The integration of Analyst's Workstation with 4 element of system.
13
Figure 2.4: iBase, the main application
13
Figure 2.5 : Analysis Notebook
14
Figure 2.6: iBase GIS Interfaces
15
Figure 2. 7: Waterfall Model
20
Figure 3.1: System decomposition diagram of Crime Analysis System
32
Figure 3.2: Context Diagram for Crime Analysis System
33
Figure 3.3: Level 0 DFD for Crime Analysis System
34
Figure 3.4: Levell DFD for process 1, Administration
35
Figure 3.5: Level 1 DFD for process 2, Complain
35
Figure 3.6: Level 1 DFD for process 3, Investigation and Summary
36
Figure 3.7: Level4 DFD for process 4, Statistic
36
Figure 3.8: Levell DFD for process 5, Crime Mapping
37
Figure 4.1: The Three-tier Architecture
43
Figure 4.2: Network Architecture
44
Figure 4.3: Login page design
45
Figure 4.4: Horne page
45
Figure 4.5: Insert new complain design
46
figure 4.6: Insert new reporter form
47
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X
Figure 4.7: RJH information
47
Figure 4.8: Address Picker
48
Figure 4.9: RJH Details
48
Figure 4.10: Upload photo in RJH
49
Figure 4.11 : Statistic Example
49
Figure 4.1 2: Chart Example in statistic
50
Figure 4.13: Map Application
so
Figure 4.14: Address Mapper
51
Figure 4.15: Navigation flow of GIS Based Crime Analysis System
52
Figure 4.16: Output of Map Application
57
Figure 4.17: Entity Relationship Diagram
59
Figure 5.1 : Overview of Development Setup
84
Figure 5.2: Installation wizard of Apache
85
Figure 5.3 : Installation success
86
Figure 5.4: Selecting Server Configuration at the
Installer Configuration screen.
87
Figure 5.5: Selecting component to be installed as services
87
Figure 5.6: Selecting the Built-in Server option at the Configure
·w eb Server screen
88
Figure 5.7: Configw·e web server
88
Figure 6.1: Sample of Unit Test Cases Form
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100
XI
LIST OF ABBREVIATONS
DBMS
- Database Management System
DFD
-Data Flow Diagram
EMIS
-Education Management and Information System
ERD
- Entity Relationship Diagram
FK
- Foreign Key
GUI
-Graphical User Interface
IE
- Internet Explorer
LAN
- Local Area Network
OOADM
- Object Oriented Analysis and Design Method
PK
- Primary Key
PSARSS
- Primary School Achievement Retrieval Support System
SDLC
- Software Development Life Cycle
SSADM
- Structured Systems Analysis and Design Method
UTeM
- Universiti Teknikal Malaysia Melaka
RJH
- Ringkasan Jenayah Harian
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CH..rtract
the data into statistic form. If they want to make a report or analysis, the police
officer needs to open every single file in the cabinet to find the file. They also facing
problem to maintain the database because they don' t have a centralized database. All
method that they used above is time consuming roughly. Thus, the achievements of
combating crime are slow and this is not good.
The current system they have cannot generate report and they need to do it
manually. The way they use now would be primjtive as they must count manually on
crime cases to make statistic.
In order to combat crime more effective, v. re proposed to use crime mapping.
Crime mapping can help in defining which the 'hotspot' of crime is. Apparently, they
have to use paper map and mark the location of crime using thumbnail, thus by
looking at density of the thumbnail, they may target the area are hotspot.
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3
Objective
•
To develop GIS Based Crime Analysis System
GIS Based Crime Analysis will be developed through this PSM course.
•
To manage police complain and investigation iT?formation.
All basic transaction such as add, update and search can be done by user
within the system.
•
To produce statistical analysis
System can produce various type of statistic depend of user's requirement.
•
To integrate the analysis with geographical display.
The system will automatically generate map with crime statistic.
•
To make data processing better and work faster.
The system will be better and faster in data processing and accessing. The
fact that it is an online system will make it accessible anyv·.rhere if there is an
intemet connection. Tllis will make police work become easier and faster to
solve crime. By making crime analysis, the chances of crime prevent is high.
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4
1.3
Scope
Scopes of GIS Based Crime Analysis System include the target user, modu les
of the system, specific platform and resources.
1.3.1
Target User
The target user will be police officer in police department. They are divided to three
types of user:
a. Complain Receh,er.
This user can input complain information that received from crime
infonner.
b. Investigator.
This user has higher level than Complain Receiver user. Not only can
access complain infom1ation, this user can manage investigation
information.
c.
Administrator.
User that highest level in system . This user can access all area in
system and manage user infonnation.
1.3.2 :M odules
a. Complain
User can insert and update information of complain of crime here.
b. Investigation
Investigator may key in infonnation of cases here.
c. Statistic
Users can generate statistic base on user's defme.
d. Afap Statistic
Location of crime can be marked on map.
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5
1.3.3 'Vhere to Implement the System
GIS Based Crime Analysis System is developed to be used at Ibu Pejabat
Polis Daerah Melaka Tengah (IPD Melaka Tengah) which are required by them to do
analysis.
1.3.4
Specific Platform
The operating systems that use for this project are Microsoft Windows
operating system. It can be Windows XP Professional, Windows Server 2003 or
Windows 2000. This platform required Coldfusion MX 7 to be installed.
1.4
Project Significant
Thls project can give many benefits to police department and society. The
system can be used as tool to analyze and make decision of the spatial pattern and
processes of crime. If they able to find the crime pattern including hot spot area in
fast way, it would assist their patrol and increase their prevention activities.
J.5
Expected Output
As the system complete, user may able to record the report into database, print
them and they can input further detail about investigation information. After the
information of crime has recorded, the analysis of the system can be produced
whether in statistical data or in geographical data.
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6
Lei
Conclusion
Advances in computer technology and analytical techniques have given crime
analyst increasingly powerful toolboxes which to find the spatial pattern and
processes crime. By using the system, it can help to save time cost. increase crime
management capability and to empower the law enforcement organization. The next
chapter will discuss about literature review and methodology. The literature review is
very important in order to know others system features and somehow make
comparison between the existing system and the performed system. In addition, the
chapter is also di scusses methodology that will be used by the project
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