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Syahputra, Muhammad Faisal
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Computer Science & IT Decision Sciences, Operations Research & Management

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Predicting the Feasibility of Providing Loans to Customers Using the Decision Tree Classification Algorithm, case study of the Maju Mandiri Savings and Loans Cooperative Syahputra, Muhammad Faisal; Sarif, Muhammad Irfan; Suherman
Bahasa Indonesia Vol 16 No 03 (2024): Instal : Jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalinstall.v16i03.246

Abstract

Savings and loan cooperatives play an important role in providing financial access for the community. One of the main challenges faced is determining a customer's eligibility to receive a loan. This research aims to apply the Decision Tree classification algorithm in predicting the feasibility of providing loans to Maju Mandiri Savings and Loans Cooperative customers. The data used in this research includes various relevant financial variables. It is hoped that the findings of this research will help the Maju Mandiri Savings and Loans Cooperative in improving the efficiency and accuracy of the customer eligibility assessment process. In this way, cooperatives can reduce the risk of bad credit and improve the welfare of their members. This research also contributes to the academic literature by demonstrating the practical application of Decision Tree algorithms in the financial sector.
Co-Authors Sarif, Muhammad Irfan Suherman