Redefining Academic Recruitment Using Fuzzy Tahani Logic: A Multi-Criteria Model for Calculus Teaching Assistants’ Selection

Asido Saragih (Institut Teknologi Del)
Febri Sihotang (Institut Teknologi Del)
Jaya Santoso (Institut Teknologi Del)
Ana Muliyana (Institut Teknologi Del)
Ragina Ayunita Tarigan (Institut Teknologi Del)

Edumatsains
Vol 10 No 2 (2025): October

This study aims to implement the Tahani fuzzy logic method as a decision support system for selecting candidates to become teaching assistants in a Calculus course. The selection process involves evaluating participants based on four test items covering major topics in Calculus: definite integrals, areas between curves, and others. Each participant’s score was fuzzified into three linguistic categories: poor, fair, and good. Membership functions were constructed using triangular distributions, and fuzzified scores were processed using a rule-based inference system. The final recommendation score for each participant was obtained by defuzzifying the fuzzy outputs. Participants with a final score recommendation greater than or equal to 0.5 were classified as eligible. The results show that the fuzzy logic approach offers a flexible and effective way to handle uncertainties in assessment, with 8 participants meeting the passing criteria. This method provides an objective framework for decision-making in academic selection contexts.