The COVID-19 pandemic had an impact on the world of education and it leads to the cancellation of all educational activities. An online learning system was an educational system or concept that utilizes information technology in the teaching and learning process. The basic principles in the online learning process are clarity of messages, learning strategies, interactivity, growth of motivation and creativity, and the use of media for effective communication. The purpose of this study was to determine what factors are hindering students in online lectures by using Principal Component Analysis. The research was conducted using a survey method, namely by filling in forms for undergraduate students at the University of Mataram. The method used to analyze the data was a quantitative descriptive technique which was expressed in the distribution of scores and percentages. This form contains 15 observed variables, after factor analysis was carried out, and obtained 3 factors that most hamper online lectures. The dominant factor is Factor 1 that can explain 28.957% of the variation. The variables included in Factor 1 are the lack of concentration, material understanding, not direct discussion, unconcern (boredom), and lack of study companion variables. The results obtained can be used as a consideration to maximize online lectures during the COVID-19 pandemic.
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19 December 2022
7TH INTERNATIONAL CONFERENCE ON MATHEMATICS: PURE, APPLIED AND COMPUTATION: Mathematics of Quantum Computing
2 October 2021
Surabaya, Indonesia
Research Article|
December 19 2022
Determining the online learning challenges during COVID-19 pandemic at the University of Mataram using Principal Component Analysis
Ena Setiawana;
Ena Setiawana
a)
Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Mataram
, Majapahit 62, Mataram, Indonesia
, 83125.
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Joji Ardian Pembargi;
Joji Ardian Pembargi
b)
Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Mataram
, Majapahit 62, Mataram, Indonesia
, 83125.
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Windia Cantika Sari;
Windia Cantika Sari
c)
Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Mataram
, Majapahit 62, Mataram, Indonesia
, 83125.
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Baiq Siti Patimah Zohrah;
Baiq Siti Patimah Zohrah
d)
Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Mataram
, Majapahit 62, Mataram, Indonesia
, 83125.
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Aanisah Rifdah Rihhadatul Aisy;
Aanisah Rifdah Rihhadatul Aisy
e)
Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Mataram
, Majapahit 62, Mataram, Indonesia
, 83125.
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Nurul Fitriyani
Nurul Fitriyani
f)
Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Mataram
, Majapahit 62, Mataram, Indonesia
, 83125.f)Corresponding author: [email protected]
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f)Corresponding author: [email protected]
AIP Conf. Proc. 2641, 030012 (2022)
Citation
Ena Setiawana, Joji Ardian Pembargi, Windia Cantika Sari, Baiq Siti Patimah Zohrah, Aanisah Rifdah Rihhadatul Aisy, Nurul Fitriyani; Determining the online learning challenges during COVID-19 pandemic at the University of Mataram using Principal Component Analysis. AIP Conf. Proc. 19 December 2022; 2641 (1): 030012. https://doi.org/10.1063/5.0115590
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