Article Per Year (5 Year)
p-Index From 2019 - 2024
0
P-Index
This Author published in this journals
All Journal J-Icon : Jurnal Komputer dan Informatika
Abdul G Farid
Universitas Nusa Cendana
Computer Science & IT

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

Found 1 Documents
Search

 1 
RANCANG BANGUN APLIKASI PREDIKSI CALON KREDITUR PADA BANK MUAMALAT KUPANG Abdul G Farid; Sebastianus Adi Santoso Mola; Dony M Sihotang
J-Icon : Jurnal Komputer dan Informatika Vol 5 No 2 (2017): Oktober 2017
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v5i2.358

Abstract

The implementation of stored-transaction data can provide a lot of useful knowledge to createbusinesses intelligence in Muamalat Bank. But Muamalat Bank has not done it yet; so, it will be difficultto give credits to the creditors. This study aimed to create business intelligence in terms of prospectivecreditors prediction. It was expected that it could predict creditors in making payments using old existingcreditors forms data. The research applied the K-Nearest Neighbor algorithm (K-NN) where thisalgorithm looking for similarly between render candidates and old creditors as much as k values thatstill or have done their lends to Muamalat Bank Kupang. The result of this research shows that with KNNalgorithm, a creditor can be predict using data comparism. Highest accuracy can be reach when kvalue=5, with accuracy level up to 80%.
Co-Authors Dony M Sihotang Sebastianus Adi Santoso Mola