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All Journal Computer Based Information System Journal
Ambarita, Tri Mey Wendelina
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Computer Science & IT Control & Systems Engineering Library & Information Science

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Penerapan Algoritma Apriori Dan K-Means Untuk Analisis Pola Pembelian Pada Toko A8 Electronic & Furniture Piayu Ambarita, Tri Mey Wendelina; Harman, Rika
Computer Based Information System Journal Vol. 13 No. 1 (2025): Jurnal CBIS
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/cbis.v13i1.9555

Abstract

A8 Electronic & Furniture Piayu Store faces challenges in identifying frequently purchased product combinations and arranging products for customer convenience. This research aims to analyze consumer purchasing patterns and group consumers based on their habits using the Apriori algorithm and K-Means. The Apriori algorithm identifies frequent itemsets, such as a 55% likelihood of purchasing an AC after buying a fan and a tendency to purchase a mic with a speaker. K-Means clustering, with an optimal configuration of 4 clusters (Davis-Bouldin score: 0.754), categorizes 54 items in cluster 0, 18 in cluster 1, 20 in cluster 2, and 28 in cluster 3. These insights are recommended for optimizing stock management, tailoring promotions, and improving customer service. The study demonstrates the potential of transaction data analysis to support strategic decision-making and business growth.
Co-Authors Harman, Rika