Jurnal Ilmu Komputer dan Sistem Informasi
Vol. 3 No. 1 (2024): Januari 2024

A Metode K-Means Clustering Dalam Pengelompokan Penjualan Produk Frozen Food

Azzahra, Lutfhia (Unknown)
Amru Yasir (Unknown)



Article Info

Publish Date
28 Jan 2024

Abstract

The creation of many businesses in the field of online-based sales or known as e-commerce is proof that internet technology is currently developing so rapidly in various industries, including business. Online shop is a business activity that uses E-Commerce in its marketing or trading operations. Knowing how interested consumers are in buying a product can be done by counting the number of sales transactions made, which is one of the information that can be collected. So that the increasing number of transaction activities by consumers there is very large and out of data. The results of this study indicate that the mostoptimal number of clusters is two clusters. From 45 frozen food product data, 3 frozen food products were found in cluster 1 and 42 frozen food products entered cluster 2. This study aims to apply the k- means clustering method in grouping frozen food sales to find out the grouping of consumer interest in a product. Frozen food. It is hoped that this research can be useful for the company and as a reference for further research.

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Journal Info

Abbrev

jirsi

Publisher

Subject

Computer Science & IT Library & Information Science

Description

Jurnal Ilmu Komputer dan Sistem Informasi (JIRSI) dikelola secara profesional oleh LKP UNITY Academy dalam membantu para akademisi, peneliti dan praktisi untuk menyebarkan hasil penelitiannya dalam panduan Kemendikbud Ristek Dikti. Jurnal Ilmu Komputer dan Sistem Informasi (JIRSI) Adalah sebuah ...