Implementation of Naive Bayes Algorithm To Determine Customer Credit Status In PT. Multindo Auto Finance Semarang - UDiNus Repository

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

2.3.

Framework of Study ............................................................................... 23

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

REFERENCES...................................................................................................... xii