期刊名称：Faculty of Computer Science and Information Technology
出版年度：2011
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. ABSTRACT Market basket analysis is a way to know the shopping habits of people in one place on goods purchased. Market basket analysis to produce an association rule is performed by applying apriori predictive algorithm. Association rules obtained by a combination of goods with good accuracy value most. This study uses data on precription sales transaction are taken for 56 days at the ‘Apotek Sehat Jaya’. Then the data are grouped according to type of drug and processed using apriori predictive 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 data processing will be the rule RapidMiner4.1 accuracy value, support and confidence. Of the rules which is obtained, of the pharmacy can know what items are frequently purchased together by buyers and consumers shopping habits in ‘Apotek Sehat Jaya’.
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