JURNAL

JURNAL

 

PENERAPAN DATA MINING UNTUK MEMPREDIKSI

PERILAKU NASABAH KREDIT: STUDI KASUS BPR

MARCORINDO PERDANA CIPUTAT

Syaiful Anwar

Program Studi Manajemen Informatika

Akademik Manajemen Informatika dan Komputer Bina Sarana Informatika (AMIK BSI)

Jl. Banten No.1 Karawang

http://www.bsi.ac.id

sfa_bsi@yahoo.com

ABSTRACT

Rural Bank one of the institutions about providing loans to certain conditions and criteria. Credit Analysis takes time and funds are not cheap so we need an appropriate method for analyzing prospective credit customers.Data Mining is one method that can be used to analyze existing data chunks that can be used to summarize the data provide specific information related to the data. Data Mining classification of a decision tree algorithm C4.5 is used in forming the rules of the statement. Decision tree model was able to improve the accuracy in analyzing the credit worthiness of the proposed prospective credit customers. The richer the information or knowledge contained by the training data, the accuracy of the decision tree will increase. And implementation can be done using one of the Visual Basic programming language.

Keywords: credit customer behavior, Data Mining, C4.5 Algorithm

BACA SELENGKAPNYA....