ANALYSIS OF BEST-SELLING PRODUCT SALES AT PEKANBARU JAYA BUILDING STORE USING THE K-MEANS CLUSTERING METHOD
Rahma, Fifid
(2025)
ANALYSIS OF BEST-SELLING PRODUCT SALES AT PEKANBARU JAYA BUILDING STORE USING THE K-MEANS CLUSTERING METHOD.
S1 Undergraduate
thesis, Universitas Darussalam Gontor.
Pekanbaru Jaya Building Store faces difficulties in identifying the products that customers are most interested in, so it hampers the efficiency of stock management and sales strategies. This research aims to assist the store in determining the best-selling products by analyzing sales data for the last two years using the K-Means Clustering method. The analysis was conducted based on several parameters, namely quantity and total sales. The clustering analysis using the Silhouette Score yielded the highest value of 0.73 with four clusters. Each cluster provides insight into the grouping of products based on their sales levels, which can be utilized to optimize a store's stock management and marketing strategies.