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All Journal Jurnal Akademika Baiturrahim Jambi JURNAL SIMTIKA (Sistem Informasi dan Informatika) Real in Nursing Journal Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Journal of Vocational Education and Information Technology (JVEIT) Nan Tongga Health And Nursing International Journal of Technology Vocational Education and Training (IJTVET) JURNAL ECONOMINA
Tri Monarita Johan
Universitas Sumatera Barat
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions Mechanical Engineering Medicine & Pharmacology Nursing Public Health

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Journal : Jurnal Akademika Baiturrahim Jambi

 1 
PENILAIAN MUTU DOSEN TERHADAP TRI DHARMA PERGURUAN TINGGI DENGAN MENERAPKAN LOGICA FUZZY LOGIC DI STIKES NAN TONGGA Tri Monarita Johan; Renty Ahmalia
Jurnal Akademika Baiturrahim Jambi Vol 8, No 2 (2019): September
Publisher : Sekolah Tinggi Ilmu Kesehatan Baiturrahim Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36565/jab.v8i2.167

Abstract

Tri Dharma of Higher Education is an activity that must be carried out by every Lecturer. In this study an application was designed to apply Fuzzy logic to calculate the quality value of Lecturers on the implementation of Higher Education Tri Dharma. Higher Education has the aim of producing quality qualifications. Therefore we need competent teaching staff needed. The background of this research is to study the results obtained from the application and calculation using Fuzzy logic, also help the lecturer evaluation in the field of quality control. The Mamdani Method is often also known as the Max-Min Method. This method was introduced by Ebrahim Mamdani in 1975. To get results, four stages are needed: 1. The formation of the fuzzy set; 2. Application function implications (rules); 3. Composition of rules; 4. Affirmation (deffuzy). The results obtained in this study the value of the function that has been optimized where lecturers will get the best in performance. Data collection methods in the fuzzy inference system function meeting, the author requires input data consisting of three variables and one output variable. Input variables consist of: 1. Research Variables 2. Dedication Variables 3. Teaching Variables. 4. Functional Position Variables After calculations and experiments, the results obtained using the Fuzzy Mamdani method with Matlab
Co-Authors Amira Esti Balqis, Ranne Dini Qurrata Ayuni Edwin Anwar Efendi, Raimon Jeprimansyah Jeprimansyah Jeprimansyah Jeprimansyah Martin, Weddy Mona Yolanda Puthi Dwi Untari Puthi Dwi Unthari Ramafina, Sonya Futri Ranne Balqis Renty Ahmalia Sonya Futri Ramafina Sophan Sophian Suryana, Febriyanno Syafrika Deni Rizki Syafrika Deni Rizki Teguh Hidayat Yulhan Yulhan