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All Journal INTEGER: Journal of Information Technology LOGIC : Jurnal Ilmu Komputer dan Pendidikan AMMA : Jurnal Pengabdian Masyarakat
Astofa, Aniq
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Humanities Chemistry Computer Science & IT Control & Systems Engineering Education Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Nursing Other

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Journal : INTEGER: Journal of Information Technology

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Komparasi Algoritma Support Vector Machine Dengan Naïve Bayes Untuk Analisis Kelayakan Pemberian Kredit Usaha Mikro Astofa, Aniq
INTEGER: Journal of Information Technology Vol 6, No 2: September 2021
Publisher : Fakultas Teknologi Informasi Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.integer.0.v6i2.2357

Abstract

Credit has a high risk of credit congestion, this is due to the accidental factor due to the disaster experienced by the debtor so that the credit provided does not increase the income of the debtor, in addition to the existence of bad faith of the debtor by not fulfilling the obligation as it should, the data technique mining using Particle Swarm Optimization-based vector-based support method with Naive bayes. Support Vector Machine method has an accuracy of 50.70%. The second experiment conducted using Particle Swarm Optimization's Support Vector Machine method has an accuracy value of 85.92% and Compared with al-goritma or naive bayes method the accuracy value of 91.16% .with Rapidminer software
Co-Authors Akrom, Akrom Sutono, Eko Zainudin