Major choosing decision support system with talent interest approach using SWRL and SAW method

Abstract

Students who are majoring in college that are not following their interests will have difficulty in adapting. Psychologically, to learn things that are not by your interests and abilities will lead to emotion blockage, which then blocks the effectiveness of brain performance. This issue will have an impact on the inhibition of learning motivation and achievement of academic performance. To avoid these problems, a diagnosis of career interests, including interests and needs to be done as an initial process of further study planning interventions to support career decisions making in individuals. Therefore, this research builds a Decision Support System with the Talent Interest Test approach to help users find college majors that suit their interests and abilities. This study uses the SAW method and SWRL reasoning. The results of this study indicate that the implementation of this approach in a Department Selection Decision Support System with Talent Interest Approach can provide an alternative that is in line with the interest of undergraduate student candidates with the compatibility level of Agree (95.31%) and Disagree (4.69%).