<![CDATA[Abstract−Toko Buku Harmoni is one shop that sells various types of goods such as books, dolls, bags, wallets and others. The purpose of this study is to analyze spending patterns where the resulting pattern can be used as recommendations in determining sales strategies by Harmoni. This research uses the association data mining method namely Apriori algorithm to find the combination of association rules for a combi       ation of items from the sales transaction data. The process of finding associations with a priori algorithms can be identified by the parameters dea namely support (supporting value) and confidence (certainty value). The results of this study are in the form of testing of the RappidMiner application to analyze shopping patterns that can be used as recommendations in determining the sales strategy of Toko Buku Harmoni.Keywords : Analysis of Shopping Patterns, Association Methods, A Priori, Support Values]]>
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