Proceedings of the 4th Borobudur International Symposium on Science and Technology 2022 (BIS-STE 2022)

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Analysis of Mental Workload and Fatigue of Packer Unit Operators Using NASA TLX and SOFI

Authors
Mila Faila Sufa1, *, Dyah Kurnia Sari1
1Industrial Engineering, Muhammadiyah University of Surakarta, Surakarta, Indonesia
*Corresponding author. Email: mfs154@ums.ac.id
Corresponding Author
Mila Faila Sufa
Available Online 9 November 2023.
DOI
10.2991/978-94-6463-284-2_88How to use a DOI?
Keywords
Physical activity; Mental activity; Machine operators; packer operation
Abstract

Human activities can be grouped into two main components including physical activity and mental activity. Mental workload is a combination of a component regarding the condition of workers, in terms of time and demands of work tasks related to the workload that has been given. PT. XYZ is one of the Indonesian companies engaged in the cement industry, of course a large company that has a high level of work environment risk and high demand for orders requires the company to carry out continuous production. The research focused on machine operators in the packer operation section to determine the mental workload and the level of fatigue felt by the operator using the NASA-TLX and SOFI methods. Based on the NASA-TLX questionnaire, the results of the highest level of mental workload for packing machine and palletizer machine operators are in the high category, while the SOFI questionnaire results in the highest level of fatigue on packing machine and palletizer machine operators, which are in the medium category. The results of the correlation test there is a relationship between mental workload and the level of fatigue of the two machine operators. Suggestions for improvement from this research are adjusting the work shift schedule regulations that are applied, adjusting the work of the operator based on the level of his work ability, taking adequate rest, using personal protective equipment, giving rewards for the achievements achieved by the operator.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 4th Borobudur International Symposium on Science and Technology 2022 (BIS-STE 2022)
Series
Advances in Engineering Research
Publication Date
9 November 2023
ISBN
10.2991/978-94-6463-284-2_88
ISSN
2352-5401
DOI
10.2991/978-94-6463-284-2_88How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Mila Faila Sufa
AU  - Dyah Kurnia Sari
PY  - 2023
DA  - 2023/11/09
TI  - Analysis of Mental Workload and Fatigue of Packer Unit Operators Using NASA TLX and SOFI
BT  - Proceedings of the 4th Borobudur International Symposium on Science and Technology 2022 (BIS-STE 2022)
PB  - Atlantis Press
SP  - 839
EP  - 850
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-284-2_88
DO  - 10.2991/978-94-6463-284-2_88
ID  - Sufa2023
ER  -