Building of Informatics, Technology and Science
Vol 2 No 1 (2020): Juni 2020

Penentuan Aturan Asosiasi Pola Pembelian Pada Minimarket Dengan Algoritma Apriori

Agnes Novianti (Universitas Putera Batam)
Erlin Elisa (Universitas Putera Batam, Batam)

Article Info

Publish Date
30 Jun 2020


Data mining is a technique for producing information from a data warehouse into new knowledge. Information is very important and useful to achieve a goal, therefore many people who use information, as well as those carried out in sales businesses such as 212 Mart. 212 Mart is located with a residential complex of residents, of course, will affect the level of sales every day, this causes data storage is increasingly growing, besides that the laying of goods is also not following consumer behavior. The association rule analysis with apriori algorithm is the right method to find the association pattern based on consumer shopping patterns so that it can be known the goods purchased at the same time. The results of this study found the highest support and confidence values ​​are Eggs and Noodles, with a support value of 40% and a confidence value of 85.71%.

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Journal Info





Computer Science & IT


Building of Informatics, Technology and Science (BITS) is an open access media in publishing scientific articles that contain the results of research in information technology and computers. Paper that enters this journal will be checked for plagiarism and peer-rewiew first to maintain its quality. ...