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Sistem Pendukung Keputusan Kelayakan Kredit pada PT. BPR Mitra Catur Mandiri Menggunakan Metode Credit Scoring
Author(s) -
Haris Diyaul Fata,
Gita Indah Marthasari,
Yufis Azhar
Publication year - 2020
Publication title -
jurnal repositor
Language(s) - English
Resource type - Journals
eISSN - 2716-1382
pISSN - 2714-7975
DOI - 10.22219/repositor.v2i5.608
Subject(s) - informatics engineering , mathematics , humanities , computer science , computer engineering , philosophy
Abstrak  Kredit adalah suatu cara yang dapat dilakukan untuk mendapatkan modal usaha. Tetapi terkadang pihak bank mengalami kesulitan dalam melakukan penentuan kredit, hal ini dikarenakan terdapat beberapa kriteria yang tidak terpenuhi oleh calon nasabah. Maka dibutuhkan suatu sistem yang dapat mempermudah petugas bank dalam melakukan penentuan kelayakan kredit, yaitu dengan membangun sistem pendukung keputusan kelayakan kredit menggunakan metode credit scoring. Dalam penentuan kredit, metode credit scoring melakukan perhitungan berdasarkan kriteria-kriteria yang ada, sehingga dapat dihasilkan rekomendasi diterima atau ditolaknya sebuah pengajuan kredit. Berdasarkan penelitian yang telah dilakukan, hasil pembuatan sistem pedukung keputusan kelayakan kredit menggunakan metode credit scoring ini adalah mempermudah petugas bank dalam melakukan penentuan kredit. Berdasarkan pengujian menggunakan metode confusion matrix, sistem ini mempunyai performa yang sangat baik dengan tinggkat akurasi 93%. Abstract  Credit is a way that can be done to obtain business capital. But sometimes the bank has difficulty in determining credit, this is because there are several criteria that are not met by prospective customers. Then a system is needed to facilitate bank officers in determining credit worthiness, namely by building a creditworthiness decision support system using the credit scoring method. In determining credit, the credit scoring method calculates based on existing criteria, so that recommendations can be generated or rejected for a credit proposal. Based on the research that has been done, the results of the creation of a support system for credit feasibility decisions using the credit scoring method is to facilitate bank officers in making credit determinations. Based on testing using the Confusion Matrix method, this system has a very good performance with an accuracy rate of 93%.

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