Problems often encountered is that there is untapped Database and well run and not the implementation of a data mining technique or method of classification in mengelolaan data at the Medical Faculty of University of Muhammadiyah Yogyakarta to know the status of candidate lecturer or professor. This study aims to determine the criteria for lecturers and professors remain and apply data mining techniques with classification algorithm C4.5. This research was conducted using the method of decision tree classification or decision tree with as much data as 137 lecturers obtained from the database server BSI (Bureau of Information Systems) University of Muhammadiyah Yogyakarta. As for data retrieval software lecturer with the help of Microsoft SQL Server 2014 is the data Lecturer at the Faculty of Medicine, University of Muhammadiyah Yogyakarta. Results using classification C4.5 Decision Tree Algorithm and implemented to RapidMiner is able to determine the status of candidate for lecturers and professors remained at 92.68% accuracy rate