The research aims to study the factors that affect the status of students. To create a model to predict educational status. Students of the University of the Northeast. By applying data mining. In the study, the researchers conducted. Collect data on factors that will affect the educational status of related research. Undergraduate students attended during the academic year 2551 - 2553 a total of 2272 people and correlation analysis of variables with correlation analysis. Results from the study showed that the factors that affect the health of students with nine factors which are used to create the model. By technical decision tree Learning Bayesian Networks Ocean. Green Progress and logistics functions. The study found that the accuracy is 94.27%, 93.88% and 93.70% for the Tech little decision tree. Learning Bayesian Networks Ocean. Green Progress and logistics functions, respectively