Open AccessIMPLEMENTASI ALGORITMA APRIORI TERHADAP DATA PENJUALAN PADA PERUSAHAAN RETAIL
Author(s) -
Jordy Lasmana Putra,
Mugi Raharjo,
tommi alfian armawan sandi,
Ridwan Ridwan,
Rizal Prasetyo
Publication year - 2019
Publication title -
pilar nusa mandiri/pilar nusa mandiri
Language(s) - English
Resource type - Journals
eISSN - 2527-6514
pISSN - 1978-1946
DOI - 10.33480/pilar.v15i1.113
Subject(s) - apriori algorithm , purchasing , database transaction , business , transaction data , association rule learning , process (computing) , computer science , database , marketing , data mining , operating system
The development of the business world is increasingly rapid, so it needs a special strategy to increase the turnover of the company, in this case the retail company. In increasing the company's turnover can be done using the Data Mining process, one of which is using apriori algorithm. With a priori algorithm can be found association rules which can later be used as patterns of purchasing goods by consumers, this study uses a repository of 209 records consisting of 23 transactions and 164 attributes. From the results of this study, the goods with the name CREAM CUPID HEART COAT HANGER are the products most often purchased by consumers. By knowing the pattern of purchasing goods by consumers, the company management can increase the company's turnover by referring to the results of processing sales transaction data using a priori algorithm