Abstract—PT.Panca Putra Solusindois a companywhich sells Electronic equipment. It has a lotof transactions. Among these data, the companyhas notbeen able to provide suchplatform that can be used as information for management to find out which products are most preferred by consumers. Data mining is present to provide information patterns to companies in answering these needs and helping in marketing to be more effective. In this research, the function of the Apriori algorithm association is used to find outthe minimum support and minimum confidence and FP-Growth in knowing the frequent itemset and both of them can find out the best rule that occurs in the transaction. These two algorithms are tested byusingWeka application version 3.8.
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