Attribute selection on student performance dataset using maximum dependency attribute

Abstract

As a higher education institution, knowing which GPA of the semester has the most determinant to affecting the academic performance of students is important yet challenging. Therefore, this paper deliberates the usage of rough set theory based Maximum Dependency Attributes (MDA). The dataset is taken from the Directorate of Information Systems (SISFO), Telkom University. The result showed that the most determinant attribute is 2th GPA, followed with 3rd GPA, Entrance Examination, 1st GPA, Academic Aptitude Test, and 4th GPA, respectively. By early knowing the most determinant attribute in which score of the m, a well-planned strategic program can be set during the institution academic study period.