ANALISA KELAYAKAN PEMBERIAN KREDIT MOBIL DENGAN MENGGUNAKAN NEURAL NETWORK BACKPROPAGATION
Problems are often encountered in the provision of credit is to determine lending decisions to someone, while other issues are not all credit payments can run well. Among the causes are errors of judgment in making credit decisions. In this study will be used back propagation neural network method to analyze the feasibility of providing car loans. From the test results to measure the performance of the method is to use testing methods Confusion Matrix and ROC curve, it is known that the method of back propagation neural network has a value of 89% accuracy and AUC value of 0.831. This shows that the model produced, including the classification is quite good because it has the AUC values between 0.8-0.9.
Gorunescu, Florin (2011). Data Mining: Concepts, Models, and Techniques. Verlag Berlin Heidelberg: Springer
Han, J.,&Kamber, M. (2006).Data Mining Concept and Tehniques.San Fransisco: Morgan Kauffman.
Kusrini,&Luthfi, E. T. (2009).Algoritma Data Mining. Yogyakarta: Andi Publishing.
Kusumadewi, Sri (2010). Pengantar Jaringan Syaraf Tiruan. Yogyakarta.Teknik Informatika FT UII.
Larose, D. T. (2005).Discovering Knowledge in Data. New Jersey: John Willey & Sons, Inc.
Maimon, Oded&Rokach, Lior.(2005). Data Mining and Knowledge Discovey Handbook. New York: Springer
Puspitaningrum, Diyah (2006). Pengantar Jaringan Syaraf Tiruan. Yogyakarta: Andi Offset.
Sumathi, & S., Sivanandam, S.N. (2006). Introduction to Data Mining and its Applications. Berlin Heidelberg New York: Springer
Vercellis, Carlo (2009). Business Intelligent: Data Mining and Optimization for Decision Making. Southern Gate, Chichester, West Sussex: John Willey & Sons, Ltd.
Witten, I. H., Frank, E., & Hall, M. A. (2011).Data Mining: Practical Machine Learning and Tools. Burlington: Morgan Kaufmann Publisher.
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