PENERAPAN DATA MINING DALAM MENEMUKAN POLA PEMBELIAN PADA DATA TRANSAKSI PENJUALAN MENGGUNAKAN METODE FP-GROWTH (STUDI KASUS: MINI MARKET GALANG INDAH DOMPAK, KOTA TANJUNGPINANG)

Abstract

Galang Indah Dompak Minimarket, Tanjungpinang City has a number of transactions which always vary every day based on historical data. The benefits of the transaction data are unknown. Therefore, the researcher wants to apply the fp-growth method to minimarket sales transaction data. This research was conducted to find patterns of purchases between categories of goods based on 3-itemset with the attributes of date, transaction number, transaction id, item name, and category of goods in October-December 2019 totaling 6613 transactions. Testing is done using a minimum support of 10% and a minimum confidence of 60% by producing 4 purchase patterns. The highest pattern is "If you buy medicine and animal food, then you buy clothes bleach with a certainty value of 91.66%".