Article Per Year (5 Year)
p-Index From 2020 - 2025
1.94
P-Index
This Author published in this journals
All Journal JUITA : Jurnal Informatika Jurnal Sains dan Informatika : Research of Science and Informatic JURTEKSI Jurnal Informasi dan Teknologi Journal of Computer Scine and Information Technology Jurnal Komtekinfo
Rianti, Eva
Universitas Putra Indonesia YPTK Padang
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology

Published : 14 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : JUITA : Jurnal Informatika

 1 
Classification of Customer Loans Using Hybrid Data Mining Eka Praja Wiyata Mandala; Eva Rianti; Sarjon Defit
JUITA : Jurnal Informatika JUITA Vol. 10 No. 1, May 2022
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (903.223 KB) | DOI: 10.30595/juita.v10i1.12521

Abstract

At this time, loans are one of the products offered by banks to their customers. BPR is an abbreviation of Bank Perkreditan Rakyat. BPR is one of the banks that provide loans to their customers. The problem that occurs is that the number of loans given to customers is often not on target and does not meet the criteria. We propose a hybrid data mining method which consists of two phases, first, we will cluster the eligibility of customers to be given a loan using the k-means algorithm, second, we will classify the loan amount using data from the clustering of eligible customers using k-nearest neighbors. As a result of this study, we were able to cluster 25 customers into 2 clusters, 10 customers into the "Not Feasible" cluster, 15 customers into the "Feasible" cluster. Then we also succeeded in classifying customers who applied for new loans with occupation is Entrepreneur, salary is ≥ IDR 5000000, loan guarantees  Proof of Vehicle Owner, account balance is < IDR 5000000 and family members is ≥ 4. And the results, classified as Loans with a small amount. We obtained the level of validity of the data testing of each input variable to the target variable reached 97.57%.
Co-Authors Aggy Pramana Gusman Devi Gusmita Dian Maulida Dian Nitami Dwi Febrina Barel Eka Praja Wiyata Mandala Ferry Juliandri Pane Firna Yenila Intan Savilla Kurnia, Hezy Marfalino, Hari Marsaa Noverdi Graceae Mayang Sajida Mutiana Pratiwi Pratama, Robby Noval Resvi Ansiska Romi Hardianto Rozizah Dwi Gusni Sarjon Defit Sepsa Nur Rahman Suci Wahyuni Wifra Safitri Yesri Elva