The use of web usage mining for association rules are used to determine the traffic patterns in a web, to identify what pages are frequented by visitors of a website, so that it can provide significant and useful information for performance enhancement, restructuring the website and increase the effectiveness of the website, it is the underlying importance of research on the application of the method to analyze the association of web usage mining to discover patterns in website visits www.ikippgrismg.ac.id access, by using the log of the use of the internet, then the results of the log is used to determine the pattern of access of Teachers' Training College website PGRI Semarang. Association rules are used to find the relationship only between items that closeness with one another by performing combinations to discover patterns of relationships between the items, the association rules requires two input values are the minimum confidence and minimum support. The results of the association rules minimum support and minimum confidence of 30 % to 30% of the 200 data yielded 147 rule, which consists of two itemset rule 42, rule 3 itemset by 67, 4 itemset as many as 34 of the rule, as many as 4 rule 5 itemset .

Keywords : web usage mining; patterns of access visits; association rules