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All Journal JURIKOM (Jurnal Riset Komputer) Akrab Juara : Jurnal Ilmu-ilmu Sosial Jurnal Sistem Informasi (JSI)
Satriadi, Irawan
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Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Medicine & Pharmacology

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Journal : JURIKOM (Jurnal Riset Komputer)

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Implementasi Jaringan Syaraf Tiruan Dengan Multilayer Perceptron Untuk Analisa Pemberian Kredit Amrin, Amrin; Satriadi, Irawan
JURIKOM (Jurnal Riset Komputer) Vol 5, No 6 (2018): Desember 2018
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v5i6.1006

Abstract

The Problem that is often faced in giving credit is determining the decision to give credit 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  neural network with multilayer perceptron method to analyze the feasibility of giving credit. 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  neural network multilayer perceptron has a value of  96,1% accuracy and AUC value of  0.999. This shows that the model produced, including the classification is Exellent Clasification because it has the AUC values between 0.90- 1.00.
Co-Authors Amrin Amrin Hadi Sukmana, Sulaeman Kuncoro, Siswo Laila Septiana, Laila Miwan Kurniawan Hidayat