Identifikasi Tingkat Kepuasan Mahasiswa Terhadap Pelayanan Fakultas Dengan Logika Fuzzy Metode Tsukamoto

Abstract

 This research aims to identify the level of student satisfaction with faculty staff services using the Tsukamoto fuzzy logic method. Quality service is considered a crucial factor in enhancing student satisfaction and overall improving higher education quality. The Tsukamoto fuzzy logic method is employed in this study to qualitatively evaluate student satisfaction levels. Variables related to faculty services, such as service speed, service quality, staff friendliness, and staff availability, are transformed into linguistic variables using appropriate aggregation functions. The research findings reveal that the majority of respondents consider "Staff Performance Needs Improvement" 5 times, "Staff Performance Needs Reevaluation" 4 times, and only "Good Job for Staff" once. By utilizing the Tsukamoto fuzzy logic, faculties can identify areas that require improvement and enhance student satisfaction through appropriate actions. This research contributes to the body of knowledge by applying the Tsukamoto fuzzy logic in evaluating student satisfaction with faculty services, an approach not extensively used in previous research. By expanding the understanding and application of this method, this research contributes to the development of more holistic and accurate evaluation methods in the context of higher education.