Application of Data Mining Apriori Method to Analyze Purchasing Patterns at UB Mart Minimarket
Penerapan Data Mining Metode Apriori Untuk Analisis Pola Pembelian Pada Minimarket UB Mart
DOI:
https://doi.org/10.21070/ups.8237Keywords:
Data Mining, Apriori Algorithm, Association Rules, Minimarket, TransactionAbstract
The Apriori Algorithm method can be used to see patterns of purchasing goods, such as those that occur in the retail industry, including UB Mart minimarkets. UB Mart is one of the minimarkets that sells daily necessities and is often faced with the challenge of increasing sales and revenue. UB Mart is required to be able to think about marketing strategies so as not to lose competitiveness with competitors and one of them is by analyzing purchasing patterns with the Apriori Algorithm. The highest result of the research that has been done if someone buys Tras 600 ml retail, most likely they will also buy Sakha with a confidence level of 23.89%. And the results of this study can provide business strategy advice to minimarket management for stock strategies, placement of goods to bundling promos.
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