Implementasi Data Mining Pada Penjualan Pakaian dengan Algoritma FP-Growth

The amount of competition in the business world, especially sales industry, required developers to find a strategy that could increase and marketing products sold, one which was using clothing data with mining. Data Mining an iterative interactive process new patterns or models can be generalized for future, valuable, understandable massive database. HAS Stores arrangement goods layout still place according groups types goods, so it has impact on service item search when consumers want buy more than are located far apart. Therefore, this study aims apply FP-Growth Algorithm out most sold at Batam city. This uses Association Rule method by utilizing Algorithm. aimed determine Through mining (Frequent Pattern Growth) algorithm, clothes will obtained, how much inventory store needs provide stock. results showed were Gamis Jilbab through calculation support 53,33% confidence 100%. Regarding these results, strategies focused product set customers easily see.