Tuhumena, Melva marsyah adella
Unknown Affiliation

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

PENERAPAN DATA MINING UNTUK MEMPREDIKSI KELAYAKAN KREDIT NASABAH PADA PT. BPR INDOBARU FINANSIA MENGGUNAKAN ALGORITMA C4.5 Tuhumena, Melva marsyah adella; Arnomo, Sasa Ani
Computer Science and Industrial Engineering Vol 7 No 2 (2022): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The purpose of this study is to find out how to use data mining to assist banks in deciding which customers are eligible for credit in order to reduce credit congestion with the C4.5 algorithm method. which may be applied to BPR Indobaru Finansia. The indicators in this study are employment, character, loan ceiling, income, guarantees and decisions that will be processed using the weka application. Predicting creditworthiness using data from prospective customers at PT BPR Indobaru Finansia as an explanation or guide when making a decision tree.