%0 Thesis
%9 Skripsi
%A FUSNA FAILASUFA , NIM. 10651072
%B FAKULTAS SAINS DAN TEKNOLOGI
%D 2014
%F digilib:13276
%I UIN SUNAN KALIJAGA
%K Keywords : Data mining, apriori algorithm, sales transaction data, Pamella  Supermarket.      
%T PENERAPAN DATA MINING UNTUK ANALISIS POLA PEMBELIAN  KONSUMEN DENGAN ALGORITMA APRIORI PADA DATA  TRANSAKSI PENJUALAN  ( STUDI KASUS : PAMELLA SUPERMARKET )    
%U https://digilib.uin-suka.ac.id/id/eprint/13276/
%X Data transactions from a particular enterprise, likes Pamella Supermarket,  increase from day to day. Sometimes, they are allowed to increase higher without  any serious action. By using data mining, the data transaction can be processed to  be the useful information especially from that enterprise itself.  This research applies apriori algorithm toward data mining inside an  application that can be used to analyse the consumen purchase scheme of Pamella  Supermarket on the different branch. With applies that method, this research  hoped can give the patterns of association rules on each branch of Pamella  Supermarket. From that patterns, then it will interpretate to some information or  knowledge.  This research is done by applying apriori algorithm inside the application.  That application can give consumen buying patterns on each branch of Pamella  Supermarket. that can indicate the schemes of the consumer sale for each branch  of Pamella Supermarket. From that patterns, then it have been interpretated to  some new informations or knowledge.    
%Z Pembimbing :  Didik R Wahyudi, M.T