During the time of filling out the study plan, many Budi Luhur University students find it difficult to choose the courses to be taken in the next semester. Errors in the selection of courses can have an impact on the achievement of achievement that is not optimal, and can inhibit student graduation. The role of academic supervisors in helping students determine the taking of courses in the coming semester is very important, but in some cases, there are academic supervisors who do not have time to discuss directly with students. Therefore, in this study a system is proposed that can provide recommendations for students in taking courses when filling out study plans for the next semester. This course of recommendation making system uses the association rule mining method with a priori algorithm. The student's course history data is evaluated using an a priori algorithm to produce recommendations for choosing courses in the next semester. The trial results of this system show an average percentage of successful recommendations of 80.16% with a minimum confidence of 80%, and a minimum support of 7. With these results, this system can be used as a means of students to help make decisions in making courses at the coming semester.