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Implementasi Adaptive Neuro Fuzzy Inference System Pada Prediksi Pembayaran Pinjaman Berdasar Analisis Rencana Pembiayaan Nasabah (Studi Kasus : BMT XYZ)
14 Juni 2009

Emha Taufiq Luthfi
STMIK AMIKOM Yogyakarta
e-mail : emha_tl@yahoo.com

 

ABSTRACT
Loan payment prediction based on analysis of customer credit plan is very important for banks or other financial companies. Loan payment prediction is required to avoid loan payment problems. Many factors can strengthen or weaken the loan payment performance and customer credit rating.
An application of an adaptive neuro fuzzy inference system has been developed to predict customer loan payment based on analysis of customer credit plan.
This research utilizes credit data from Baitul Maal Wat Tamwil (BMT) XYZ and the developed creates a prediction of performance of customers credit plan using ANFIS method
The experimental results show that the inference system can give a prediction for customer credit plan by producing its collectability value. Having 1477 tested data, the results show that the system achieves accuracy in 94,92214 %.


Keywords : Credit Prediction, Adaptive Neuro Fuzzy Inference System, Collectibility

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