Classification of Students Based on Academic Ability Using Profile Matching and Linear Interpolation Weighting

Higher education institutions play an important role in learning activities, both academic and non-academic, including establishing a social transition to adjust to the Fourth Industrial Revolution (4IR). Higher education in Indonesia is generally divided into classes with heterogeneous characteristics that cause less conducive teaching and learning process. Clustering of students in a particular group (homogeneous) is expected to improve acceleration and effectiveness of learning. Multicriteria analysis needs to be done to avoid errors of judgment in the determination of the class. Selection methods may affect the quality of the resulting decisions. This research profile matching method applying in determining the clustering of students, which is assessed based on the ideal profile of a superior class. The criteria that form the basis of assessment is the value of two semesters learning achievement in the first year, the value of the course, the expertise, and mastery of programming languages as well as activity in the organization's activities. Weighting difference in value (gap) with a certain range is calculated using linear interpolation. Output in the form of a ranking system that helps decision-makers to the cluster of students accurately and efficiently