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All Journal Jurnal Komputer, Informasi dan Teknologi
Muhammad Rifqo
Universitas Muhammadiyah Bengkulu
Computer Science & IT Education Languange, Linguistic, Communication & Media

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Implementation Of Data Mining To Find Product Sales Patterns Using The Apriori Algorithm (Case Study: Warung Dini) Muhammad Rifqo; Gunawan; Dandi Sunardi; Iin Nurazizah
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 2 (2024): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i2.2147

Abstract

In the increasingly fierce business competition, utilizing sales transaction data is crucial to improve business performance, including at Warung Dini. This research aims to identify customer purchasing patterns at Warung Dini by applying the Apriori algorithm, which is one of the effective data mining methods in uncovering associations between items in large transaction data. Using the Apriori algorithm, this research successfully found 12 association rules consisting of 5 combinations of two itemsets and 2 combinations of three itemsets, with a minimum support value of 60%, confidence 100%, and lift ratio 1. These itemset combinations reveal products that are often purchased together, such as Rice and Soy Sauce, as well as combinations of three products such as Rice, Soy Sauce, and Instant Noodles. These findings provide important insights for Warung Dini to optimize marketing strategies, such as designing attractive promotional packages and arranging product placement more strategically to increase sales. In addition, the results of this analysis also help the store in predicting stock needs, thus improving operational efficiency. The implementation of the Apriori algorithm in this study not only provides insight into sales patterns, but also supports more precise and strategic business decision-making, so as to strengthen the competitiveness of Warung Dini in a competitive market.
Sales Transaction Analysis at Barokah Minimarket With the Implementation of the Apriori Algorithm Ardi Wijaya; Muhammad Rifqo; A.R. Walad Mahfuzhi; Prayoga Putra
Jurnal Komputer, Informasi dan Teknologi Vol. 5 No. 1 (2025): Juni
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v5i1.2287

Abstract

Minimarket Barokah is a minimarket located in Rafflesia Hospital, Bengkulu City. Minimarket Barokah is owned by the Rafflesia Hospital Foundation Bengkulu. The sales focus or target market targeted by Minimarket Barokah is visitors from Rafflesia Hospital, families of patients, and employees of the hospital. Data mining, often also called knowledge discovery in database (KDD), is an activity that includes collecting, using historical data to find regularities, patterns or relationships in large data sets. The output of data mining can be used to improve future decision making. Apriori algorithm is the most famous algorithm for finding high frequency patterns. The Apriori algorithm can be used in the sales process by providing a correlation between sales data, in this case the food or drinks purchased will get a consumer purchase pattern. The minimarket can use this information to take actions that increase profits for the minimarket owner. It is expected that the barokah minimarket always updates transaction data gradually so that this application can provide sales information based on stock to the leadership
Co-Authors A.R. Walad Mahfuzhi Ardi wijaya Gunawan Gunawan Iin Nurazizah Prayoga Putra