Muhammadiyah University Yogyakarta is a private university located in Yogyakarta. UMY has a many students in each faculty, one of which is the Faculty of Social and Politic. With a large number of students does not secure that all students does not have problems with the value Semester and the number of credits, students who value semester and number of credits that is not with University policy can be called to as Drop Out, to know the data of students data of Faculty of Isipol need to be data processing. Data processing is usually called Data Mining. This study purpose to classify problematic students or students troubled to Drop Out by using Clustering techniques. The method used in the K-Means method with this method the data obtained from the source data will be grouped into several cluster, in the cluster there are data that have same characteristics while the data that has different characteristics will be grouped into different cluster. The results of research on Drop Out troubled students using K-Means method are students who value Semester and Number of credits is not corresponding with the University policy after having problematic student data. The university gives decisive action so that students with problems have a good intentions to improve ourselves before Drop out.