Development of a Web Application for Career Guidance in Computer Fields Using Data Mining Techniques

Abstract

This research aims to develop a web application utilizing data mining techniques to analyze the data of undergraduate students, supporting personalized career guidance in the field of computer science. The target group comprised 622 third- and fourth-year students majoring in Computer Engineering and Information Technology at a private university. The research instruments included a needs assessment questionnaire, a prototype web application, and a user satisfaction survey. The developed system analyzes academic performance, skill sets, internship experience, and personal background using a Decision Tree technique to generate a career prediction model. The model’s accuracy was evaluated using cross-validation. The results showed that the model achieved an accuracy of 97.26%, indicating high predictive performance. Moreover, the satisfaction survey conducted with 50 users revealed a high level of satisfaction (overall mean score of 4.01 out of 5), reflecting that the developed web application can serve as an effective and practical tool for career guidance at the university level