GATOTKACA Journal (Teknik Sipil, Informatika, Mesin dan Arsitektur)
Vol 3, No 1 (2022)

Application Of Data Mining To Determine The Amount Of Production Using The K-Means Method (Case Study At Pt. Coca Cola Distribution Indonesia Bengkulu)

Yessi Mardiana (Study of Computer System Engineerings Faculty of Computer Science, Universitas Dehasen Bengkulu)
Toibah Umi Kalsum (Study of Computer System Engineerings Faculty of Computer Science, Universitas Dehasen Bengkulu)

Article Info

Publish Date
05 Feb 2022

Abstract

This study applies Data Mining using the Clustering method to determine the amount of production based on the level of product sales at PT. Coca Cola Distribution Indonesia Bengkulu branch. The algorithm used is K-Means Clustering, where data grouped based on the same characteristics will be included in the same group and the data sets entered into the groups do not overlap. The information displayed is in the form of product data groups based on the level of sales, so that it is known the amount of production at PT. Coca Cola Distribution Indonesia which is adjusted to product clusters with high, medium and low sales levels, resulting in product clusters that could be utilized by PT. Coca Cola Distribution Indonesia in determining the number of production of the next product

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Journal Info
GATOTKACA Journal (Teknik Sipil, Informatika, Mesin dan Arsitektur)
Website

Abbrev

gatotkaca

Publisher

Perkumpulan Dosen Muda Bengkulu

Subject

Civil Engineering, Building, Construction & Architecture Computer Science & IT Energy Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering

Description

GATOT KACA Journal (Technic Science) established in 2020. It is a peer –reviewed international journal to be of interest and use to all those concerned with research in various fields of, or closely related to, Engineering disciplines, iNFORMATIKA. GATOT KACA Journal aims to provide a highly ...