Intelligent Decision Support System Using Certainty Factor Method For Selection Student Career

Abstract

This paper explains how intelligent decision-making systems (IDSS) student career selection in accordance with their own potential. Intelligent decision-making systems combine concepts and models from various disciplines. This study describes and explains the normative model of student decision-making in order to know their own potential through interests, ability, knowledge and competencies as well as other factors that support students’ self-improvement which are indicators of career selection. This study uses the nature of human decision making, the use of heuristics and knowledge-based decision rules using certainty factor (CF). In the final part of the study, the findings obtained were the student’s decision in determining the career choice certainty factor that was in accordance with the chosen workplace.