Bulletin of Information System Research
Vol 1 No 1 (2022): Desember 2022

Implementasi Algoritma K-Nearest Neighbor(K-NN) Dalam Klasifikasi Kredit Motor

Efori Bu’ulolo (Universitas Budi Darma, Medan)
Irma Suryani Tampubolon (Universitas Budi Darma, Medan)
Christin Vebiola Nababan (Universitas Budi Darma, Medan)
Lulu Nurhidayanti Nasution (Universitas Budi Darma, Medan)

Article Info

Publish Date
10 Dec 2022

Abstract

Determining the eligibility of applying for a motorbike loan to a leasing company is important, considering that if an error in decision making occurs it will have an impact on the loss of the FIF Group company. Therefore the authors created a Decision Support System using the K-nearest Neighbor method to determine the feasibility of applying for a motorcycle loan. The K-Nearest Neighbor (K-NN) algorithm is an algorithm in data mining to classify new objects based on the majority of the nearest neighbor categories. The K-NN clustering algorithm using data on income, employment, number of dependents and home ownership can group prospective new creditors to make it easier for staff to determine acceptance of prospective new motorcycle creditors

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Journal Info
Bulletin of Information System Research
Website

Abbrev

bios

Publisher

CV. Graha Mitra Edukasi

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

Description

Bidang Kajian dari jurnal Bulletin of Information System Research (BIOS), pada bidang ilmu komputer diantaranya, yaitu: Sistem Pendukung Keputusan Kecerdasan Buatan Data Mining Sistem Informasi Manajemen Informatika Sistem Pakar Big Data Text ...