IT Business Management to Determine Rendang Stock Inventory with the K-Means Algorithm
DOI:
https://doi.org/10.35134/jcsitech.v8i2.33Keywords:
Stok, Manajemen, Cluster, Aplikasi, Algoritma K-MeansAbstract
The stock management system at Uni Lili's Rendang Store is inadequate, so there are frequent shortages and excess stocks which have a negative impact on the business being run. To overcome this problem the author tries to provide a solution by designing a system that can make it easy to be able to manage stock using IT Business Management with the K-Means Algorithm method which aims to find out which products are in demand and which are not in demand based on enthusiasts. The data used in this analysis are 15 sample data with 2 clusters formed, namely less interested (Cluster 1) and many interested (Cluster 2). With the results of the analysis of the K-Means Algorithm, a website-based IT Business Management application was developed for the Rendang Uni Lili Store which is managed with the K-Means Algorithm. With this research, it can reduce risks in marketing and make it easier for consumers to purchase products
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