Penerapan Algoritma Naive Bayes Pada Sistem Penentuan Kelayakan Pinjaman Koperasi

Abstract

The savings and loan cooperative at the Pangarso Budi Utomo Roso Manunggal Jati Community Organization used conventional methods in carrying out cooperative business processes. Problems arose due to the limited number of cooperative officers, while the number of loan applications continued to increase each month. During the evaluation stage of determining the loan granting process, cooperative officers still faced difficulties in deciding which applicants deserved loan facilities, to prevent loans from becoming bad. The purpose of this research was to develop a Cooperative Loan Eligibility Determination System by applying the Naive Bayes algorithm. The Naive Bayes algorithm offered a high level of accuracy and speed. The cooperative loan eligibility determination system that was built consisted of two access rights, namely admin and leadership. The admin could manage user data, training data, customer data, and analysis results. Leaders could view customer data information and analysis result data. The results of the system analysis showed whether or not the customer was eligible for a loan.