Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Jupiter Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer)
Gita Aprilianur
Stmik borneo internasional Balikpapan
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering Library & Information Science

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Jupiter

 1 
Penerapan Data Mining Menggunakan Metode K-Means Clustering Untuk Analisa Penjualan Toko Myam Hijab Penajam Gita Aprilianur; Elvin Leander Hadisaputro
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 14 No 1 (2022): jupiter April 2022
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281./4684/5.jupiter.2022.04

Abstract

Myam Hijab shop is a store that specializes in selling hijab, but of the various hijabs that are sold, of course, not all of them sell, some do not. Sales data, purchases of goods and unexpected expenses in Myam Hijab are not well structured, so the data only serves as a store archive and cannot be used to develop marketing strategies. Therefore, it is necessary to apply data mining using the K-Means method. at the Myam Hijab shop. The K-Means method can be applied to the Myam Hijab Store to find out which hijab sales are selling, selling and not selling. The application of the K-Means method at this Myam shop is by grouping hijab stock data. Then select 3 random groups as the initial centroid. After the data for each group did not change, it was seen that in the end there were 24 products that were selling well, 59 products that were selling well, and 17 products that were not selling well. Then, the application of the K-Means method on Rapidminer is done by entering product stock data, namely initial stock, sold stock and ending stock, which will be converted into a database in Ms.Excel, the data will be connected to Rapidminer Tools and processed. and form K-means. After that, Rapidminer will produce which products are in high demand, high demand, and low demand.
Co-Authors Hadisaputro, Elvin Leander Nurhalisa Sakir