Sistem Pendukung Keputusan Kredit Sepeda Motor dengan Metode Decision Tree

Abstract

This paper shows the model of feasibility determination in motorcycle credit loans facilities. Today’s motorcycle credit loan has large amount of non perform loan (NPL). This happened because the occurrence of errors in motorcycle loans. Therefore, we need the system which could helps the management in decision making process. In this research, we use the data that come from a database system of FIF leasing company in Medan. This research use decision tree method and C4.5 algorithm to analyze the data. The result of this paper is the rule model to determine the feasibility of motorcycle loan recipients. the system was developed using delphi programming language for desktop application.