Raihan Anugrah Fakhri
Universitas Muhammadiyah Pontianak, Indonesia

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Prediction of Students’ Major Selection Using the Fuzzy SugenoMethod Based on Report Card Grades Raihan Anugrah Fakhri; Alda Cendekia Siregar; Syarifah Putri Agustini Alkadri
Jurnal Ragam Pengabdian Vol. 3 No. 1 (Spesial Issue) (2026): "Dharma Samudera"
Publisher : Lembaga Teewan Journal Solutions

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62710/h96zxc86

Abstract

This study aims to develop a student achievement prediction system based on the Fuzzy Sugeno method using average report card scores to support science or social studies specialization recommendations. The data were obtained from student report cards at SMA 1 Toho in Microsoft Excel format and processed through fuzzification, inference, and defuzzification stages using triangular membership functions to produce crisp values and achievement categories. The system was implemented using the Python programming language and evaluated for result consistency. The findings indicate that the Fuzzy Sugeno method can objectively predict student achievement and support data-driven decision making in determining student specialization