APLIKASI DATA MINING UNTUK MENEMUKAN ATURAN ASOSIASI PADA TRANSAKSI PEMBELIAN BARANG DENGAN MENGGUNAKAN ALGORITMA APRIORI (STUDI KASUS : 212 MART TANJUNG UBAN)
Goods purchase transactions data in minimarket which has been kept, has many informations that we can mine it using data mining techniques, such as the information about associations on consumer purchases and the clusters of existing consumers. In this research, conducted a search to find the pattern of goods connectedness based on goods categories by using apriori algorithm. The data that used in this research is the data from goods purchase transactions in 212 mart Tanjung Uban began from November 2018 until January 2019. The testing is done by input minimum support and confidence values. Based from the test result conducted with changes the parameter of minimum support and minimum confidence values, it can be concluded the results of association rules is “if the costumers buy kecap, then the costumers will buy makanan ringan”.