Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah Sains dan Teknologi
A. Selamet AW
Universitas Banten Jaya
Computer Science & IT Decision Sciences, Operations Research & Management Library & Information Science Physics

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
APLIKASI SELEKSI PENENTUAN NASABAH UNTUK PENJUALAN BARANG SECARA KREDIT DENGAN ALGORITMA K-NEAREST NEIGHBOR Edy Nasri; A. Selamet AW
Jurnal Ilmiah Sains dan Teknologi Vol 4 No 1 (2020): Vol 4, No 1, Februari 2020
Publisher : Teknik Informatika Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (715.968 KB)

Abstract

There is a lot of business competition in this case credit sales, where credit sales are made using the gradual payment method with requirements that must be agreed upon by the credit provider and credit recipient. In this XYZ company there are problems that often occur including when officers select and determine credit recipients (debtors) in accordance with the requirements given by the company, this company also still uses traditional methods in promotion and there is no decision-making system to be able to assist in determining the prospective debtor In addition, creditors (creditors) find it difficult to receive debtor data reports. In determining the debtor to get credit sales, in this study we will use the SPK K-Nearest Neighbor method where this method is to calculate the closeness between old cases and new cases in order to facilitate officers in determining prospective borrowers with a decision support system using the K-Nearest method Neighbor. In addition to facilitating and helping creditors to be able to find out the debtor data report in more detail and to increase sales. The results of this study, get results from calculating the closeness between new cases with old cases using the K-Nearest Neighbor method. And from some calculations with that method, the greatest value will be used to predict the next cases.
Co-Authors Edy Nasri