Application of the Apriori Algorithm to Purchase Patterns

The purpose of this research is to produce an Apriori Algorithm application system increase sales turnover at Viona stores. problem faced by the store that has decreased in midst business competition because it not been able optimally analyze products are often purchased and combination purchases consumers so seem monotonous do have a strategy attract customers. can consumers. One way make with packages lower prices. It must good pattern analysis be combine into package. However, limited ability Information Technology, study was built applies priori algorithm. This algorithm very effective finding relationship one or more itemsets large data set calculating transaction patterns combinations consumer habits being quickly create product packages. turnover. results process applying Store through RapidMiner same as applied using for month May 2022 minimum support 30% confidence 30%. So from study, information obtained items were together during period lighters cigarettes 100% Confidence. And June Stores recommend their looking 3 items, which later expected Stores.