Jurnal ULTIMATICS
Vol 17 No 1 (2025): Ultimatics : Jurnal Teknik Informatika

Association Rule Mining of Consumer Behavior at MOY Supermarket Using Apriori Algorithm

Alifah, Amalia Nur (Unknown)



Article Info

Publish Date
25 Jun 2025

Abstract

MOY Frozen Food is a retail business located in Kediri Regency, specializing in the sale of frozen food, beverages, and basic necessities. In recent years, the retail industry has faced numerous challenges, including shifts in consumer behavior, technological advancements, and increasing competition. This study addresses the issue of identifying which products are frequently purchased together and determining appropriate recommendations for consumers. To achieve this goal, association rules are employed to discover correlations and co-occurrences among data sets, which facilitate the identification of product relationships within a single transaction. Using the Apriori algorithm with a minimum support threshold of 0.01 and a confidence level of 0.5, implemented in Python, this research successfully generates association rules. The insights derived from these association rules can be leveraged to develop various sales strategies, ultimately enhancing product sales at MOY Frozen Food.

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Journal Info

Abbrev

TI

Publisher

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

Description

Jurnal ULTIMATICS merupakan Jurnal Program Studi Teknik Informatika Universitas Multimedia Nusantara yang menyajikan artikel-artikel penelitian ilmiah dalam bidang analisis dan desain sistem, programming, algoritma, rekayasa perangkat lunak, serta isu-isu teoritis dan praktis yang terkini, mencakup ...