Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Chairani Chairani
Fakultas Ilmu Komputer, Informatics & Business Institute Darmajaya, Lampung
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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

Found 1 Documents
Search

 1 
Analisis Statistik Pembayaran Kredit Menggunakan Metode Random Forrest Classfier Dan LightGBM Akni Widiyastuti; Chairani Chairani; Kurniawati Kurniawati; Siti Aminah; Muhamad Abror
JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Vol 6, No 3 (2023): JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Publisher : Institut Bakti Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jtksi.v6i3.1551

Abstract

Banking also takes part in marketing technology based on financial services such as the following: Banking, Credit and Loans, Financial Advisory, and Consumer Convenience. By automating most of the banking processes and adding speed, transparency, and security to them, Fintech applications also indirectly contribute to a seamless experience for customers. It is known that one of the banks in Indonesia has also implemented a fintech system, one of which is in terms of processing credit payments (online credit). Some people have applied for credit at the bank by making payments digitally or online. Banks have collected data from their customers who have made credit online. These data are collected to obtain information that helps banks see the status of credit payments. In the research results, the accuracy value was obtained by using the Random Forrest Classifier and LightGBM method comparisons, the values obtained from the AUC for the validation set were around 65% and 80%.
Co-Authors Akni Widiyastuti Kurniawati Kurniawati Muhamad Abror Siti Aminah