Implementation of Data Mining for Angkringan Sales Analysis Using the Apriori Method
Implementasi Data Mining Untuk Analisa Penjualan Angkringan Menggunakan Metode Apriori
DOI:
https://doi.org/10.21070/ups.7410Keywords:
Angkringan Mdpl, Apriori Algorithms, Association Rules, Sales PatternsAbstract
Angkringan Mdpl faces difficulties in analyzing sales data which has an impact on stock management. This research utilizes the Apriori algorithm in data mining techniques, to search for purchasing patterns through calculating support and confidence values to produce association rules. The sales patterns found can be used as a basis for stock management, such as adding stock to frequently sold items and providing recommendations for the most popular additional product offerings. Based on testing association rules with lift values on transaction data for June and July 2024, using a minimum support of 2% and minimum confidence of 5%, 5 pairs of item combinations were found with valid (strong) association rules. These rules can be utilized by Angkringan Mdpl as a reference in designing more effective sales strategies.
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