Implementation of fuzzy logic for students selection process of the MBKM program

In 2020, the Minister of Education and Culture (MOEC) of Indonesia issued a Merdeka Belajar-Kampus Merdeka (MBKM) policy that related to the implementation of education in Indonesia. This MBKM policy causes each study program in a college to make adjustments to educational procedures and curricula. One of them is the selection process for students who will take part in the MBKM program. Students can take part in the MBKM program if they meet the requirements set by the college and pass the selection of activities. The criteria set in the selection process are Grade Point Average (GPA), course credits, and score of activity proposals. These criteria have different ranges of score. In addition, the selection process uses a subjective scale that is vague. Therefore, it is necessary to build a fuzzy logic-based decision-support system that can help provide recommendations for students who qualify as MBKM participants. This study aims to formulate an assessment method to determine the passing selection of MBKM candidates using fuzzy logic. This assessment method is used to select competent students to take part in the MBKM program. Fuzzy Inference System with the rules of the Fuzzy Mamdani method is used in this fuzzy logic-based decision-making system. Then the result of this selection is the score of each student in the range of 0-100.