PREDIKSI ANALISIS KELAYAKAN NASABAH MENGGUNAKAN ALGORITMA C4.5 DAN ALGORITMA CART Studi Kasus : BMT Khonsa Cilacap

This study aims to predict the feasibility of BMT Khonsa customers, customers are an important part of the development process and progress in Islamic financial institutions as mutually beneficial partners. This makes researchers and practitioners focus their attention on predicting customer eligibility. The method used in this study is problem identification, data collection, pre-processing stage, classification method, validation and evaluation, and drawing conclusions. The algorithm used in this research is C4.5 algorithm and CART algorithm. the purpose of this study was to see the best accuracy of the two algorithms, so that it could be used to help classify and predict customer feasibility. The validation and evaluation methods used are fold 10-cross validation. The results of the calculations that have been done, obtained the accuracy of the C4.5 algorithm of 99.5349% with precision 0.995, recall 0.995, and F-measure 0.995. While the CART algorithm the accuracy value is 99.5349% with precision 0.995, recall 0.995, and F-measure 0.995. From these results it can be seen that the accuracy values of both algorithms have the same values that are used to predict customer feasibility.