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  • 标题:ANALISIS KERANJANG PASAR MENGGUNAKAN ALGORTIMA PREDICTIVE APRIORI UNTUK MENEMUKAN ATURAN ASOSIASI DI APOTEK SEHAT JAYA
  • 本地全文:下载
  • 作者:NINDITYA KHARISMA ; METTY MUSTIKASARI
  • 期刊名称:Faculty of Computer Science and Information Technology
  • 出版年度:2010
  • 卷号:0
  • 期号:0
  • 语种:English
  • 出版社:Faculty of Computer Science and Information Technology
  • 摘要:Keyword : Market Basket Analysis, Association Rule, Apriori Predictive, RapidMiner4.1.ABSTRACTMarket basket analysis is a way to know the shopping habits of people in one place on goodspurchased. Market basket analysis to produce an association rule is performed by applyingapriori predictive algorithm. Association rules obtained by a combination of goods with goodaccuracy value most.This study uses data on precription sales transaction are taken for 56 days at the ‘ApotekSehat Jaya’. Then the data are grouped according to type of drug and processed using aprioripredictive algorithm that will produce the set of goods appear and association rules.Search for association rules in this study using software RapidMiner4.1. The results of dataprocessing will be the rule RapidMiner4.1 accuracy value, support and confidence. Of therules which is obtained, of the pharmacy can know what items are frequently purchasedtogether by buyers and consumers shopping habits in ‘Apotek Sehat Jaya’.
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