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Evaluasi Kualitas Pembelajaran Online Selama Pandemi Covid-19: Studi Kasus di Fakultas Teknik, Universitas Katolik Darma Cendika
Author(s) -
Desrina Yusi Irawati,
Jonatan Jonatan
Publication year - 2020
Publication title -
jurnal rekayasa sistem industri/jurnal rekayasa sistem industri
Language(s) - English
Resource type - Journals
eISSN - 2339-1499
pISSN - 0216-1036
DOI - 10.26593/jrsi.v9i2.4014.135-144
Subject(s) - servqual , covid-19 , psychology , pandemic , online learning , medical education , computer science , service (business) , service quality , multimedia , medicine , business , disease , pathology , marketing , infectious disease (medical specialty)
The home-based learning strategy is a useful control measure to decrease the spread of COVID-19 among students. A sudden alteration of offline learning to online learning impacted  the effectiveness of learning activities. During the COVID-19 pandemic, the Faculty of Engineering, Darma Cendika Catholic University needed to assess the level of student satisfaction of online-based learning so that the quality of service was maintained. The purpose of this study was to measure the level of student satisfaction during online-based learning during the COVID-19 pandemic using the Service Quality (Servqual) and Importance Performance Analysis (IPA) methods. Servqual and IPA are methods for measuring the level of satisfaction and quality of service. The result of Servqual shows all the measurements of 17 attributes have negative gap value. This shows that there is a difference between students perception and expectation of online-based learning. The Matrix of IPA indicates the priority of improvement of online-based learning that encompasses the lecturers consistency in providing a good lecture, the capability of using learning platform, the prompt and efficient response to students needs in online-based learning, the encouragement of students motivation throughout the learning process, and the understanding of students impediments during the process of online-based learning.

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