Open AccessPerancangan Aplikasi Data Mining Transaksi Penjualan untuk Mengetahui Pola Beli Konsumen pada Toko Singgalang Padang Menggunakan Algoritma Apriori Berbasis Web
Author(s) -
Nelisa,
Aulia Fitrul Hadi
Publication year - 2018
Publication title -
majalah ilmiah upi yptk
Language(s) - English
Resource type - Journals
ISSN - 2502-8774
DOI - 10.35134/jmi.v25i1.27
Subject(s) - apriori algorithm , association rule learning , database transaction , computer science , product (mathematics) , data mining , a priori and a posteriori , transaction data , database , mathematics , geometry , philosophy , epistemology
It takes a method or technique that can transform mountains of data into a valuable information or knowledge (knowledge) that are useful to support business decision making. Therefore in this paper association analysis application developed for extracting and interpreting the pattern of trend of sales of goods are often sold simultaneously from the transaction data using algorithms apriori. Apriori algorithms will from a frequent itemset as predetermined based on two parameters, support and confidence, to find the rules of the association between a combination of items. Knowledge of a product can be used by companies to increase production ansd sales of a product..