Penerapan Data Mining Apriori Pada Persediaan Obat (Studi Kasus Apotek Rafif Farma Medan)

Abstract

The importance of inventory systems at a pharmacy and the type of goods which are a top priority that must be in stock. It is useful to anticipate the void stuff. Due to the lack of inventory may affect customer service and asset to the pharmacy. Therefore, this study was conducted to help resolve those problems by designing a data mining application that serves to predict sales of the drug is needed most knowable a priori algorithm with the help of Tools Tanagra. One of the interesting association analysis phase analysis algorithm that generates a high frequency patterns (frequent pattern mining). Keywords: Data Mining, Apriori Algorithm, Association Rule