Pencarian Nasabah dengan Menggunakan Data Mining dan Algoritma C4.5 Koperasi MADUMA Subang
Abstract: Credit is the
provision of money or bills that can be equated with it, based on consent or
agreement between the bank and the borrowing other party require that borrowers
pay off its debt after a certain period of time by the giving of flowers. Although
the Lender has approved a credit proposed by the debtor, but the credit
analysis to be done of debtors who have been approved so that the cause of
non-performing loans can be examined and get a good classification for the
determination of the appropriateness of granting credit. In granting credit
need to analyse the needs of creditors, then that must be known in advance is
the principles that need to be ditegakan in the framework of granting credit.
Things that need to be considered in granting credit to customers is the
principle 6 C's Analysis. With these problems, then there is need for
troubleshooting existing solutions, by making a decision support System. Thus
this decision support System will be able to meet the expectations to be
achieved. The algorithm C 4.5 is algorithms used to create the decision tree.
Decision tree classification method and prediction is a very powerful and
famous. Getting rich in information or knowledge that is conceived by training
data, the accuracy of the decision tree will be increased.
Penulis: Timbo Faritcan
Siallagan
Kode Jurnal: jptinformatikadd150365
