PENERAPAN ALGORITMA FP-GROWTH UNTUK MENGANALISA POLA TRANSAKSI PEMBELIAN OBAT OLEH KOSUMEN

Abstract

Anza Farma Pharmacy is one of the pharmacies that serve drug sales in Anambas Regency. Anza Farma pharmacies serve thousands of transactions/month by selling prescription, non-prescription and concoction drugs. There are many transactions that occur at the pharmacy, but the transaction data has not been used to its full potential. The researcher then builds an application or system by utilizing data mining techniques using the fp-growth algorithm to obtain information in the form of connectedness of drug purchases by consumers. System or application test results by inputting 0.10 for minimum support and 0.50 for minimum confidence, namely the formation of 5 association rules with the highest rule being Betadine => Hansaplast (if a customer buys betadine then buys hansaplast) with a support value of 18.36% and the confidence value is 94.84% followed by the lift value 5.1389, and the conviction 15.8034 and the cosine 0.97143.These results are very helpful for the Anza Farma pharmacy to find out which drug items are related.