HPAI consumer shopping analysis using Apriori algorithm

PT Herba Penawar Alwahida sells a variety of herbal products. The process buying and selling transactions occur every day, resulting in pile data pretty much. However, so far the transaction has only been used as material to make monthly reports without further use these, even though from these information can be extracted support marketing. To utilize existing data, authors website-based mining application. This application will developed by method association (Association Rule) uses apriori algorithm. So that it seen level accuracy this With mining, is expected help distributor get about which HPAI products are often purchased consumers simultaneously, improve product marketing maintaining availability stock remain.