PENERAPAN METODE BAYESIAN CLASSIFICATION DALAM RANCANGAN APLIKASI PENGKLASIFIKASIAN KREDIT (STUDI KASUS PADA PT INDOMOBIL FINANCE INDONESIA CABANG PONTIANAK)

Abstract

The development of information technology and data processing system, then the problem of decision making is one important aspect of the information system. Bayesian Classification is a method for classifying statistics that can be used to predict the probability of membership of a class. by calculating the probability of each class and comparing the result of the probability value of each class. The author uses a causal relationship research design (experimental) as a research design. while the technique of analysis and design using object-oriented techniques is by unified modeling language (UML). Hypertext Preposesor (PHP) is chosen as programming language to develop software while MySQL to design database. This research produces a website-based Decision support system software that uses the bayesian classification method as a credit classification algorithm, the way it works compares with previous cases. The conclusion obtained by the authors of the results of this study is the system is able to provide advice to the head of branches in taking credit decisions with Bayesian classification method, the system compares the cases of credit ever experienced so that the system can calculate the probability of credit status of prospective customers, the more cases then the probability of credit status is more accurate. Keywords: Decision support system, Classification, Credit, Bayesian Classification