Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Multidisciplinary Journals
Fadila, Aldevia
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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

Found 1 Documents
Search

 1 
Implementation of K-Means Clustering Method in Grouping Best-Selling Building Materials at Sinar Harapan Building Shop Fadila, Aldevia; Sonita, Anisya; Witriyono, Harry; Rifqo, Muhammad Husni
Multidisciplinary Journals Vol. 1 No. 3 (2024): September
Publisher : Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/mj.v1i3.529

Abstract

Building materials are all materials both as basic and auxiliary materials needed to build a certain building that are easily available in building stores, one of which is at the Sinar Harapan Building Shop. The purpose of this research is to build a system that can provide information on building materials that are in demand and not in demand by applying the k-means clustering method to help facilitate the management of building material sales. The results of this study have created a system for classifying in-selling and out-of-selling building materials based on the results of calculations using the k-means clustering method by testing 10 samples of building materials which get the results of 3 in-selling building materials and 7 building materials not in demand or less in demand.
Co-Authors Rifqo, Muhammad Husni Sonita, Anisya Witriyono, Harry