Klasifikasi Kelayakan Pemberian Kredit Pada Calon Debitur Menggunakan Naïve Bayes

Abstract

As a lending company, PT. PRIMA KONSUMEN FINANCE certainly has the possibility of bad credit in extending credit to its debtors which can reduce the company's income. Therefore the author performs data mining analysis on debtor data that has borrowed at PT. PRIMA KONSUMEN FINANCE to become valuable information for the company. The author uses debtor data in 2019 as many as 265 data. In conducting the analysis the author uses the WEKA Tools tool. The method used is the Naïve Bayes classification method with 9 attributes. The contribution of this research is to build a creditworthiness classification model for prospective borrowers. This model produces classification performance evaluation values for 3 test options, namely the training set option, 5-fold cross validation and 10-fold cross validation. The contribution of this research is to produce a creditworthiness classification model The results of the Naïve Bayes classification with the greatest percentage of accuracy were obtained using the Training Set, which was 72.8302%, using 5-fold cross validation of 63.3962% and using 10-Fold Cross Validation of 66.4151%.

Implementasi Metode Perbandingan Eksponensial Dalam Sistem Pendukung Keputusan Pemberian Kredit Nasabah Pada PT Bank DKI Cabang Syariah Wahid Hasyim

“…Melihat kondisi tersebut pada suatu penelitian dapat dianalisa bahwa pada perusahaan jasa keuangan seperti bank yang memberikan peminjaman kredit kepada debitur dapat menjadi salah satu sumber penghasilan yang dimiliki oleh perusahaan, namun apabila sering terjadi resiko kredit macet maka berdampak pada terjadinya penurunan pendapatan perusahaan yang meminjamkan kredit. Oleh karena itu salah satu upaya untuk mencegah resiko terjadinya kredit macet peranan solusi teknologi sepert i pada sistem pendukung keputusan dapat menjadi pilihan alternatif solusi dalam assessment kriteria calon debitur sebelum pengambilan keputusan terkait dengan kelayakan pemberian kredit dari pihak bank [1].…”