KLASIFIKASI KINERJA PEMBAYARAN ANGSURAN DENGAN ALGORITMA NAIVE BAYES (Studi Kasus : Data Nasabah Koperasi Simpan Pinjam Pembiayaan Syariah Bina Bersama)

Abstract

Cooperative according to Law Number 25 of 1992 is "a business entity consisting of individuals or legal entities of cooperatives by basing the principles of cooperatives as well as a people's economic movement based on the principle of kinship". . Bayes is a simple probabilistic-based prediction technique based on the application of the Bayes theorem (or Bayes rule) with strong (naïve) independence assumptions. This customer data classification system is used to display current classification information, substandard or non-smoothness of prospective customers in paying credit installments. By using the Naïve Bayes algorithm and applied into the Delphi programming language. The criteria used are name, age, gender, address, marital status, deposit amount, credit amount, time period, grace, occupation, purpose of credit. the results of the classification are current classes with probability values ​​4.001-5.550, substandard classes with probability values ​​2,851-4,000, non-current classes with probability values ​​0,005-2,850