OPERATION EXCELLENCE: Journal of Applied Industrial Engineering
Vol. 14, No. 2, (2022): OE JULY 2022

Analysis on The Mental Workload of Female Lecturers During The Covid-19 Pandemic

Euis Nina Saparina Yuliani (Universitas Mercu Buana, DKI Jakarta)
Sri Suhartini (STT Wastukancana, Purwakarta, West Java)
Daisy Ade Riany (STT Wastukancana, Purwakarta, West Java)
Defi Norita (Universitas Mercu Buana, DKI Jakarta)
Hernadewita Hernadewita (Universitas Mercu Buana, DKI Jakarta)
Emi Pahiba (Universitas Mercu Buana, DKI Jakarta)



Article Info

Publish Date
01 Sep 2022

Abstract

The coronavirus (Covid-19) pandemic continues to create significant effect than initially predicted. In addition, the virus spread showed rapid increment, since March 2020, leading to several impacts on human lives, e.g., education. Furthermore, various government policies, including social distance greatly influences teaching and learning activities, both in high schools and universities. As a consequence, conventional face-to-face learning model was temporarily suspended. This implies the need to engage online education. Prior to the outbreak, the mental workload of lecturers was relatively intense, comprising the three basic pillars of higher education (Tridharma), termed education, research and community service, as well as other additional tasks, including final year project supervisions and hold structural position. During the pandemic, mental workload considerably increased considerably as most lecturers, particularly the females also served as home teachers. Therefore the purpose of this research is to analyze the mental workload of female lecturers during the Covid-19 pandemic in Indonesia. Questionaire is used to measure mental workload taken from the National Aeronautics and Space Administration-Task-Load Index (NASA-TLX). Furthermore, the survey is applied to evaluate job demands. The results showed that teaching, research and housewive role influence the mental workload as an aspect with the maximum score. In comparison, a maximum score of 29% on the mental demand aspect generates a physical demand aspect of 27%.

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Journal Info

Abbrev

oe

Publisher

Subject

Decision Sciences, Operations Research & Management

Description

The aim of Operations Excellence: Journal of Applied Industrial Engineering (OE Journal) is to publish theoretical and empirical articles that are aimed to contrast and extend existing theories, and build new theories that contribute to advance our understanding of phenomena related with industrial ...