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Nowadays, the increasing number of campuses is growing, which makes want to get a better promotion strategy. As for how to find the right promotion strategy will be able to reduce the cost of promotion and achieve the right promotional goals. One way that can be done for the determination of a promotion strategy is to use data mining techniques. The technique used in this case is FP-Growth Algorithm is an alternative algorithm that can be used to determine the most frequent itemset in a data set. Research is done by observing some research variables that are often considered by Universities, espescially the marketing section in promotion strategy. The result of this research is a suitable promotion strategy to be applied at Victory University Sorong namely advertising, personal selling and publicity. And the most influential is advertising, this can be seen from the amount of the advertising value of 35 transaction from the total sample number of 43 transaction with a significant level 81.40% of the other dimensions, personal selling 6 transactions, the effect is 13.95% a publicity as much as 2 transaction or 4.65% of the other dimensions.

The Analysis and Implementation of Algorithm of Frequent Pattern – Growth to Support the Promotion Strategy in Victory University Sorong