Attribute selection on student performance dataset using maximum dependency attribute
Rd. Rohmat Saedudin, Edi Sutoyo, Shahreen binti Kasim, Hairulnizan Mahdin, Iwan Tri Riyadi Yanto · 2017
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 2thGPA, followed with 3rdGPA, Entrance Examination, 1stGPA, Academic Aptitude Test, and 4thGPA, 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.