Education must be oriented to the competencies needed by the world of work because the percentage of unemployed among educated people continues to increase. The existence of alumni plays an important role in improving the quality that has been achieved by universities, the increasing number of graduates at Muhammadiyah University of Yogyakarta makes more data piles, based on these problems, a new knowledge search is conducted with data mining. The grouping of alumni data will be done by the clustering method and using the k-means algorithm. In this alumni data there are 6 attributes used, namely, name, study program, GPA, graduation year, class, and type of work. This analysis was carried out using RapidMiner Studio software and data sources were taken from alumni data in the form of excel data sets. Classes from the use of this method are from work type attributes. Iteration is done 3 times iterations and the number of clusters is 8 clusters. Clustering method can be applied to grouping alumni data. This can be analyzed from the results of grouping the alumni data, namely the strategy of each study program to improve quality and quantity.