Analisa Data Mining Menggunakan Market Basket Analysis dengan Metode Association rule untuk Mengetahui Pola Pembelian Konsumen pada Toko Sehattentrem.ina

In a business, efforts are needed to optimize sales in the hope of getting maximum profit. There are many ways that can be done to manage and promote products using offline and online techniques. However, to obtain maximum results, it is necessary to calculate how likely it is that customers will be interested in the products offered. Sehattentrem.ina is an online distributor in the Ponorogo area that sells medicinal cigarettes and some herbal drink products. This distributor has a problem in determining the inventory of sales items (stock items to be sold). Where in determining the purchase of goods the previous two months it was wrong to take into account the procurement of merchandise stock which had an impact onSlow Moving Inventoryand a decrease in sales. The solution that can be given to overcome these problems is by looking at the purchasing patterns of customers who have already purchased goods. The method used is to apply Data Mining, namely the Association Rule. The Apriori algorithm will also be used to determine frequent
itemset, namely to calculate the percentage of customer interest (confidence) in the products offered.