Open AccessFuzzy based Decision Support Model for Deciding the Students’ Academic Performance
Author(s) -
Ditdit Nugeraha Utama,
Deddy Kurniawan
Publication year - 2021
Publication title -
international journal emerging technology and advanced engineering
Language(s) - English
Resource type - Journals
ISSN - 2250-2459
DOI - 10.46338/ijetae1021_15
Subject(s) - construct (python library) , computer science , fuzzy logic , field (mathematics) , process (computing) , affect (linguistics) , point (geometry) , ideal (ethics) , value (mathematics) , domain (mathematical analysis) , management science , artificial intelligence , machine learning , data mining , psychology , mathematics , engineering , mathematical analysis , philosophy , geometry , communication , epistemology , pure mathematics , programming language , operating system
— In the education domain, especially in higher education, a standard of performance assessment is determined by the grade point average (GPA). In its use in the evaluation process, GPA assessment standards have some shortcomings, such as focusing only on the improvement of the GPA value regardless of other factors that can affect an evaluation result, so that the GPA standard cannot be used as one and only one basic reference in determining the results of performance evaluation ideally. The study is a completed version of the previous one. The purpose of this study is to construct a decision support model (DSM) that can conduct performance assessment by considering various parameters that are considered to affect the academic performance results of students. The model was constructed by using three methods: fuzzy logic of Sugeno, conventional, and mathematical. This study uses quantitative data analysis because the data used is real data in the form of personal data and academic value data of students in the field. The predetermined methods were implemented in this study to calculate the academic performance value of students by considering various other parameters outside the GPA parameters. So that the assessment results will be more ideal and can strengthen the standard of GPA assessment in conducting the process of evaluating student performance. Also, finally, the verification and validation values of the model are represented.