Menentukan Pola Pembelian Produk Dengan Rule Mining Algoritma Apriori Pada Ud. Pelita Kita Padang

Susriyanti, Susriyanti and Defit, Sarjon and Istianingsih, Nanik (2021) Menentukan Pola Pembelian Produk Dengan Rule Mining Algoritma Apriori Pada Ud. Pelita Kita Padang. Jurnal Administrasi Sosial dan Humaniora (JASIORA), 4 (3). pp. 100-110. ISSN 2656-1328

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Abstract

This study is a quantitative study using secondary data from company sales transactions using A priori association rules. The goal is to look at customer buying behavior patterns towards UD products. Pelita Kita Padang in combination. From the results of A priori association rule testing, 5 association rules were obtained. The association pattern formed in the test results using a minimum support value of 30% and a minimum confidence value of 70% results in 5 rules of association rules. And the highest strong rules are obtained in the J → P association rule with a support value of 38% and a confidence value of 86.4%. This means that customers who buy J (Window) and P (Door) products simultaneously account for 38% of all existing transactions, with the level of truth or belief they will buy both simultaneously being 86.4%.

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