TABLE OF CONTENT
COVER ... i
FINAL YEAR PROJECT AGREEMENTAL ... ii
VALIDATION ... iii
DECLARATION ... iv
CONSENT STATEMENT OF SCIENTIFIC PAPER’S PUBLICATION ... v
ACKNOWLEDGEMENTS ... vi
ABSTRACT ... vii
TABLE OF CONTENT ... viii
TABLE OF TABLES ... x
TABLE OF FIGURES ... xi
CHAPTER I ... 1
INTRODUCTION ... 1
1.1. Background of Study ... 1
1.2. Problem Statement ... 3
1.3. Scope of Study ... 3
1.4. Objective ... 4
1.5. Benefits of The Study ... 4
CHAPTER II ... 5
THEORITICAL BACKGROUND ... 5
2.1. Related Study ... 5
2.2. Literature Review ... 12
2.2.1. Credit ... 12
2.2.2. Data Mining ... 14
2.2.3. Data Mining Process ... 16
2.2.4. CRISP-DM ... 18
2.2.5. Naïve Bayes Algorithm ... 19
2.2.6. Confusion Matrix ... 21
2.2.7. Split Validation ... 22
CHAPTER III ... 25
RESEARCH METHODOLOGY ... 25
3.1. Research Instrument ... 25
3.2. Data Collection Method ... 25
3.3. Data Analysis Technique ... 25
3.3.1. Business Understanding Phase ... 26
3.3.2. Data Understanding Phase ... 27
3.3.3. Data Preparation Phase ... 31
3.3.4. Modeling Phase ... 35
3.3.5. Evaluation Phase ... 36
3.3.6. Deployment Phase ... 36
CHAPTER IV ... 37
ANALYSIS AND DISCUSSION ... 37
4.1. Research Data ... 37
4.2. Data Processing for Training Set ... 38
4.2.1. Data Selection ... 38
4.2.2. Data Integration ... 41
4.2.3. Data Reduction ... 42
4.2.4. Data Transformation ... 44
4.3. Validation and Evaluation ... 45
4.4. Testing and Result ... 46
4.5. Discussion ... 50
4.6. Implementation of Naïve Bayes Using NetBeans IDE 7.4 ... 55
CHAPTER V ... 60
CONCLUSION AND SUGGESTION ... 60
5.1. Conclusion ... 60
5.2. Suggestion ... 60
