PREDIKSI KELAYAKAN PEMBERIAN FASILITAS KARTU KREDIT KEPADA NASABAH DENGAN METODE KLASIFIKASI DATA MINING (STUDI KASUS BANK XYZ)
| Main Authors: | Alvian, Ferdinand Stevanus; STMIK LIKMI BANDUNG, Carbini, Selawati; STMIK LIKMI BANDUNG, Komarudin, Komarudin; STMIK Mardira Indonesia |
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| Format: | Article info application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
STMIK Mardira Indonesia, Bandung
, 2020
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| Subjects: | |
| Online Access: |
http://jurnal.stmik-mi.ac.id/index.php/jcb/article/view/231 http://jurnal.stmik-mi.ac.id/index.php/jcb/article/view/231/255 |
Daftar Isi:
- As one of the largest banks in Indonesia and in the midst of competition between existing banking institutions, Bank XYZ participates in providing credit to customers in the form of credit cards. The provision of credit card facilities for customers at Bank XYZ must go through a customer screening process and check data in depth so that banks can avoid non-current customer credit. One way that banks can use is by using the data mining method. In this study, two models were compared in the classification method, namely Discriminant Analysis and Naïve Bayes. Keywords: Data Mining, CRISP-DM, Discriminant Analysis.DOI : http://doi.org/10.5281/zenodo.4320278