Intelligent decision support system using certainty factor method for selection student career

Yenny Desnelita; Kasman Rukun; Syahril; Dewi Nasien; Gustientiedina@lecturer.Pelitaindonesia.Ac.Id Gustientiedina; Vitriani

doi:10.1109/ICon-EEI.2018.8784143

Intelligent decision support system using certainty factor method for selection student career

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Yenny Desnelita, Kasman Rukun, Syahril, Dewi Nasien, Gustientiedina@lecturer.Pelitaindonesia.Ac.Id Gustientiedina, Vitriani

2018 Proceedings - 2018 2nd International Conference on Electrical Engineering and Informatics: Toward the Most Efficient Way of Making and Dealing with Future Electrical Power System and Big Data Analysis, ICon EEI 2018 Conference paper Cited by 4

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. © 2018 IEEE.

Affiliations

Departemen of Information System, Sekolah Tinggi Ilmu Komputer Pelita, Pekanbaru, Indonesia; Departemen of Vocational Technology Education, Universitas Negeri Padang, Padang, Indonesia

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