Data mining techniques were used to build a prediction model prototype based on employment positions for computer majors in the Faculty of Science and Technology, Suratthani Rajabhat University. This study investigated the impact factors of employment positions of computer careers, compared model performances that consisted of six classification techniques and developed a web application using the effective prediction model that could be implemented in four majors using data collected from the graduates of sessions 2016-2020. The results of this research demonstrated that factors of seven courses and cumulative grade point average predicted employment positions. The models with best performances were rule-based and naive Bayes methods with a classification accuracy of 89.66%, precision of 90.48%, and recall of 90.00%. Therefore, a web application of the prediction model was developed using PHP programming. In practice, this application can suitably predict employment positions for computer majors.