One famous data mining thecnique is association rues. Association is rules used to see the relationship between item in a transaction, so that it can be studied how each item or a group of items effect other items. A number of algorithms have been proposed by experts in accelerating the searching process of an associaation rule. This research aims to implement association rules algorithms, and at the same time, integrating the algorithms into a data mining workbench. Algorithms integrated include apriori, FP-growth, and CT-pro. This research also compares the performances of each algorithm. Keywords: Associatio rules, Apriori, FP- Growth, CT-Pro