Analysis of Data Mining Associations on Drug Sales at Pharmacies with APRIORI Techniques

Salam Irianto Nadeak (Politeknik Negeri Media Kreatif, Indonesia)
Yusmar Ali (Politeknik Negeri Media Kreatif, Indonesia)

IJISTECH (International Journal Of Information System & Technology)
Vol 5, No 1 (2021): June

The purpose of the research is to utilize artificial intelligence techniques in analyzing drug sales. Sources of data used are observations and interviews with shop owners. The method used as a solution is the Association method with the Apriori technique. By using the RapidMiner software, the test results are obtained using a minimum support of 25% and a minimum of 60% confidence as many as 5 rules with a predetermined itemset. The results of the study are expected to provide information and make it easier for related parties to find combinations of selling items. The results of this analysis can be used by pharmacies for marketing strategies and product promotion.