AN APPLICATION OF ROUGH SET THEORY TO CLUSTER STUDENT ASSESSMENT AT UNIVERSITIES
ABSTRACT: Assessment is the
last session of a lecture in college. There are several components that form
the basis of calculations. A technique to select a clustering attribute based
on rough set theory is presented. Dataset is taken from a survey of 150
architectural design studio students. Data are taken on 6th semester students
majoring in architecture University of Technology of Yogyakarta Indonesia.
Assessment consists of five components, namely three tasks, presentations,
midterms and final exams. This assessment was conducted in 2015. The evaluation
criteria used range from 0-100. Student name, age, race, and attendance are not
required in this assessment. In this study, we show how to determine the
dominant attributes of a set of attributes of an assessment list by using the
rough set theory (Max-Max roughness). The results obtained can potentially
contribute to give a recommendation in awarding the final grade of a course
more quickly and accurately.
Penulis: Suhirman
Kode Jurnal: jptkomputerdd170167