Level of student satisfaction on lecturer performance with fuzzy inference system (FIS) tsukamoto method

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Tulus Pramita Sihaloho, Mahyuddin K. M. Nasution, Zakarias Situmorang

2020 IOP Conference Series: Materials Science and Engineering Vol. 725 Issue 1 Conference paper Cited by 3 SDG 4 Quartile

Abstract

To improve the quality of students in higher education is inseparable from how the performance of lecturers in the teaching-learning process. The quality of lecturers greatly influences how the quality of graduates will be. Qualified lecturers can be seen from the lecturers' performance in delivering learning material, assessment, discipline, behaviour and appearance. Lecturer performance evaluation can be assessed by students and assessors by study programs through questionnaires in which there are several aspects of assessment. The data processing of the questionnaire will use the Tsukamoto fuzzy method. The Mamdani method is often also known as the average method. In this method, there are 4 the stage for obtaining output, namely the formation of fuzzy sets, application function implications, rule composition and defuzzification. With the fuzzy mamdani method, information will be generated in the form of output of the success level of the teaching lecturer. © Published under licence by IOP Publishing Ltd.

Affiliations

Departement of Computer Science, Universitas Sumatera Utara, Medan, Indonesia; Universitas Katolik Santo Thomas, Medan, Indonesia

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