MEMPREDIKSI KELAYAKAN PEMBERIAN PINJAMAN PADA NASABAH KOPERASI IBU RINTA DI TG.BALAI KARIMUN MENGGUNAKAN ALGORITMA C4.5

Sondang Granitia Siahaan, Andi Sunyoto
UNIVERSITAS AMIKOM YOGYAKARTA.2019

A B S T R A C T

The Ibu Rinta Cooperative is one of the large cooperatives which is located in Balai Karimun. Ibu Rinta's cooperative has attracted many customers, as evidenced by the increasing number of new customers each year. Seeing the increase, the Cooperative of Mrs. Rinta needs to improve the quality of customer service, especially in the management of loan transactions. Customers who will make loans are not all eligible for loans. The Cooperative Party of Mrs. Rinta must be careful in determining whether or not a decision is feasible for a customer to be given a loan so that there is no loss.

By utilizing data mining techniques, decision support systems can support the decision to lend at the cooperative. In this study, the authors used the Decision Tree C4.5 method to support lending decisions divided into viable and inappropriate categories. The data used in this study are data derived from research objects totaling 125 cases. Evaluation of this research classification model using the confusion matrix method.

By making a system to support the decision of lending, it is hoped that the cooperative can be helped and can minimize losses due to inaccurate targets in lending to customers.

Keywords: Cooperatives, Data Mining, Decision Tree C4.5, Decision Support Systems, Confusion Matrix.

CategoryUndergraduate Thesis
Posted Date30 Maret 2019
Modified Date30 Maret 2019
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