Penerapan Metode Fuzzy dalam Sistem Pendukung Keputusan Pemilihan Siswa Terbaik di Yayasan Pancaran Harapan Bangsa

Abstract

The selection of the best students is one of the activities carried out to recognize student achievements and encourage them to improve their performance. However, the selection process at Yayasan Pancaran Harapan Bangsa is still conducted manually, which requires considerable time and may lead to subjectivity and errors in data processing. In addition, the assessment involves several criteria, such as academic performance, attitude, attendance, and extracurricular activities, each of which has different assessment characteristics. This study aims to design and implement a Decision Support System (DSS) to assist the selection of the best students in a more objective, systematic, and efficient manner. The Fuzzy Mamdani method is applied because it can process data involving uncertainty and accommodate assessments expressed in different categories. The research process includes collecting student data, determining assessment criteria, developing membership functions, establishing IF-THEN rules, performing fuzzy inference, and conducting defuzzification to obtain the final score. The results of the study are a system that processes student data based on predetermined criteria and generates scores that can be used as a basis for selecting the best students. The implementation of the Fuzzy Mamdani method is expected to help Yayasan Pancaran Harapan Bangsa conduct the assessment process in a more structured, transparent, and consistent manner and support more accurate decision-making.