Analisa Data Penjulan pada Toko Kelontong Musyawarah Menggunakan Algoritma Apriori

Musyawarah store is a grocery that provides variety of daily needs. The products sold at the deliberative shop include necessities, kitchen spices, toiletries, laundry soap, and house cleaners. So far, sales data has never been analyzed. Data analysis with mining can generate new knowledge to help owners manage inventory strategies display items for sale. This study aimed determine pattern high frequency in using methods. Apriori algorithm analyzes transactions store. Based on observations calculations authors have made final association results, namely, if you buy eggs, will Indomie rebus 50% support 58% confidence, rebus, eggs 100% confidence. While sasa product does not sell well smallest confidence value.