This research aims to compare the efficiency of data classification, select career undergraduate students after graduation. In this research, the data set of the employment of graduates.Faculty of Informatics. University between MaySince 2550-2554, 12 features and 2,.515 records which technique was used to model decision trees. Artificial Neural Networks. And learning Bayesian to evaluate the performance. The results of the study showed that the efficiency of data classification and decision trees.80th.62% found that the key factors that make a career match or not match a field with four factors, namely classes. GPA technicality field of gender and GPA.To plan development course or plan of education for the students.