Analysis of Customer Product Interests using the Market Basket Analysis Model with Hash-Based Algorithm and Association Rules

The Market Basket Analysis method can be used for analyze pattern shopping consumer. With take advantage of later data processed for get information from transaction dataset that. Supermarkets are business businesses engaged in the sale needs tree. Shop this not yet knowing pattern shopping on cart shopping consumer. Algorithm used that is hash-based algorithm because algorithm this reduce amount candidate itemset at the start of. Research results this namely found 2 Frequent itemset namely bread and butter with support 96 ago eggs, bread and butter with support 97. Based on results in implementation hash-based algorithm and association rules, we can conclude that the manager of the supermarket can start use same way for knowing customer interest in something product with product other. With this manager can more focus with product the for reduce loss caused products that are not behavior.