Analisis Algoritma J48 Pada Pengambilan Keputusan Pemberian Pinjaman Kepada Calon Nasabah

Authors

  • Agnes Irene Silitonga Universitas Negeri Medan
  • Lukas Ginting Universitas Negeri Medan
  • Enjelina Sinaga Universitas Negeri Medan
  • Elson Zega Universitas Negeri Medan
  • Samuel Sembiring Universitas Negeri Medan
  • Yoakim Simamora Universitas Negeri Medan

DOI:

https://doi.org/10.46880/jmika.Vol8No2.pp281-293

Keywords:

Classification, Decision Tree, J48 Algorithm, Loan Approval

Abstract

This research aims to analyze the stages of decision making for granting loans to prospective customers using the J48 Algorithm. Using the "Loan-Approval-Prediction-Dataset" dataset obtained from Kaggle, this research will build a decision tree model that can provide insight into the key factors that influence the decision. It is hoped that the results of this research can contribute to financial institutions in increasing accuracy, efficiency and objectivity in the credit evaluation process, as well as helping prospective customers understand the factors that need to be considered to increase their chances of loan approval.

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Published

2024-10-31

Issue

Vol. 8 No. 2 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi

Section

METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi

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Copyright (c) 2024 Agnes Irene Silitonga, Lukas Ginting, Enjelina Sinaga, Elson Zega, Samuel Sembiring, Yoakim Simamora

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.