Fuzzy-Expert System for Indicator and Quality Evaluation of Teaching and Learning Processes Online Study Programs

The quality of education is essential so that it needs to be improved. This study aims to design and realize an information system for monitoring and evaluating the quality of the online teaching and learning process using the fuzzy-expert system algorithm. By using the fuzzy-expert system model, th...

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Autores principales:	Cahyaningrum Yuniana, Suryono Suryono, Warsito Budi
Formato:	article
Lenguaje:	EN FR
Publicado:	EDP Sciences 2021
Materias:	Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/0bb2465811284a588baceccb6f916794
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spelling	oai:doaj.org-article:0bb2465811284a588baceccb6f9167942021-11-08T15:19:57ZFuzzy-Expert System for Indicator and Quality Evaluation of Teaching and Learning Processes Online Study Programs2267-124210.1051/e3sconf/202131705021https://doaj.org/article/0bb2465811284a588baceccb6f9167942021-01-01T00:00:00Zhttps://www.e3s-conferences.org/articles/e3sconf/pdf/2021/93/e3sconf_icenis2021_05021.pdfhttps://doaj.org/toc/2267-1242The quality of education is essential so that it needs to be improved. This study aims to design and realize an information system for monitoring and evaluating the quality of the online teaching and learning process using the fuzzy-expert system algorithm. By using the fuzzy-expert system model, the Tsukamoto method can monitor the online teaching and learning process. The tsukamoto method is used because it is very flexible. Fuzzy-expert system can process a lot of data and get better results than using the excel application. The assessment parameters in this study were the presence of lecturers and students, the suitability of the lecture material, the development of an academic atmosphere, the assessment of student skills, the suitability of learning support facilities and infrastructure, the performance of education personnel in the learning process, assessment of student attitudes, student knowledge, lecturers’ role models, and lecturer performance in teaching. The fuzzy stages used in the system are the process of fuzzification, rules, and defuzzification. This study concludes that fuzzy assessment can be carried out by producing good evaluations for the value range of 80-100, enough for the range of values of 54-79, and less in the range of values 0-55.Cahyaningrum YunianaSuryono SuryonoWarsito BudiEDP SciencesarticleEnvironmental sciencesGE1-350ENFRE3S Web of Conferences, Vol 317, p 05021 (2021)
institution	DOAJ
collection	DOAJ
language	EN FR
topic	Environmental sciences GE1-350
spellingShingle	Environmental sciences GE1-350 Cahyaningrum Yuniana Suryono Suryono Warsito Budi Fuzzy-Expert System for Indicator and Quality Evaluation of Teaching and Learning Processes Online Study Programs
description	The quality of education is essential so that it needs to be improved. This study aims to design and realize an information system for monitoring and evaluating the quality of the online teaching and learning process using the fuzzy-expert system algorithm. By using the fuzzy-expert system model, the Tsukamoto method can monitor the online teaching and learning process. The tsukamoto method is used because it is very flexible. Fuzzy-expert system can process a lot of data and get better results than using the excel application. The assessment parameters in this study were the presence of lecturers and students, the suitability of the lecture material, the development of an academic atmosphere, the assessment of student skills, the suitability of learning support facilities and infrastructure, the performance of education personnel in the learning process, assessment of student attitudes, student knowledge, lecturers’ role models, and lecturer performance in teaching. The fuzzy stages used in the system are the process of fuzzification, rules, and defuzzification. This study concludes that fuzzy assessment can be carried out by producing good evaluations for the value range of 80-100, enough for the range of values of 54-79, and less in the range of values 0-55.
format	article
author	Cahyaningrum Yuniana Suryono Suryono Warsito Budi
author_facet	Cahyaningrum Yuniana Suryono Suryono Warsito Budi
author_sort	Cahyaningrum Yuniana
title	Fuzzy-Expert System for Indicator and Quality Evaluation of Teaching and Learning Processes Online Study Programs
title_short	Fuzzy-Expert System for Indicator and Quality Evaluation of Teaching and Learning Processes Online Study Programs
title_full	Fuzzy-Expert System for Indicator and Quality Evaluation of Teaching and Learning Processes Online Study Programs
title_fullStr	Fuzzy-Expert System for Indicator and Quality Evaluation of Teaching and Learning Processes Online Study Programs
title_full_unstemmed	Fuzzy-Expert System for Indicator and Quality Evaluation of Teaching and Learning Processes Online Study Programs
title_sort	fuzzy-expert system for indicator and quality evaluation of teaching and learning processes online study programs
publisher	EDP Sciences
publishDate	2021
url	https://doaj.org/article/0bb2465811284a588baceccb6f916794
work_keys_str_mv	AT cahyaningrumyuniana fuzzyexpertsystemforindicatorandqualityevaluationofteachingandlearningprocessesonlinestudyprograms AT suryonosuryono fuzzyexpertsystemforindicatorandqualityevaluationofteachingandlearningprocessesonlinestudyprograms AT warsitobudi fuzzyexpertsystemforindicatorandqualityevaluationofteachingandlearningprocessesonlinestudyprograms
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Fuzzy-Expert System for Indicator and Quality Evaluation of Teaching and Learning Processes Online Study Programs

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