JURIKOM (Jurnal Riset Komputer)
Vol 5, No 6 (2018): Desember 2018

Implementasi Jaringan Syaraf Tiruan Dengan Multilayer Perceptron Untuk Analisa Pemberian Kredit

Amrin, Amrin (Unknown)
Satriadi, Irawan (Unknown)

Article Info

Publish Date
01 Dec 2018

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.

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Journal Info
JURIKOM (Jurnal Riset Komputer)
Website

Abbrev

jurikom

Publisher

Sekolah Tinggi Manajemen Informatika dan Komputer Budi Darma

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

Description

JURIKOM (Jurnal Riset Komputer) membahas ilmu dibidang Informatika, Sistem Informasi, Manajemen Informatika, DSS, AI, ES, Jaringan, sebagai wadah dalam menuangkan hasil penelitian baik secara konseptual maupun teknis yang berkaitan dengan Teknologi Informatika dan Komputer. Topik utama yang ...