ANALISIS DATA PENJUALAN UNTUK REKOMENDASI PRODUK MENGGUNAKAN ALGORITMA FP-GROWTH (Studi Kasus : Griya Muslim Shofie Banyumas)

Griya Muslim Shofie is a retail store that meets the Muslim equipment needs of its customers. The increasing number of new businesses that are similar makes the shop owner must know the habits and behavior of customers to be right in meeting the needs of their customers. There are many ways to find out customer behavior and habits, but in this study using association rules, namely data mining techniques to find the association rules for a combination of items. By utilizing the stored transaction data, the store can find out what items are often bought and what items are bought simultaneously by the customer. The process of searching for associations uses the help of the FP-Growth algorithm to produce item combination rules as science and important information from sales transaction data. The results of this study are the rules of purchasing goods with the highest value of support and confidence . Four rules are formed with the hijab nibras product which is always a combination of the formed rules.