There is a lot of data from students and alumni from Muhammadiyah University of Yogyakarta, one of which is the data of the alumni in getting their job after completing their undergraduate study. There are several factors that make it difficult for alumni to get a job. This study aims to classify how long alumni can get a job by using the data mining process and using the Naive Bayes classification algorithm. The algorithm that is used, can predict sooner or later an alumnus gets a job and from the prediction results can be used as a base to a decision making, so that it can improve the quality of a university. The methodology of this research begins with a literature study, data collection, data selection, data collection, data transformation, implementation, and if successful, immediately draws conclusions that produce information. The support system in this study uses several parameters, such as their gender, faculty, GPA, graduation year, and the status of getting a job. The data used is 435 data, consisting of 7 faculties from 2011-2014. As the results of this study, the authors get the accuracy of the alumni time period to get a job is 71,89% and from the prediction results of the alumni of Muhammadiyah Yogyakata University from 2011-2014 get a job, there is more who get a job faster than those who are slow.