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Mental workload analysis using NASA-TASK LOAD INDEX on manual napkin tissue machine in PT. XYZ

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  • Mental workload analysis using NASA-TASK LOAD INDEX on manual napkin tissue machine in PT. XYZ

Errina Febi Adriyanti *, Heru Prastawa and Novie Susanto

Department of Management and Industrial Engineering, Faculty of Engineering, Diponegoro University, Semarang, Indonesia.

Research Article
 

World Journal of Advanced Research and Reviews, 2024, 23(02), 482–487
Article DOI: 10.30574/wjarr.2024.23.2.2356
DOI url: https://doi.org/10.30574/wjarr.2024.23.2.2356

Received on 23 June 2024; revised on 02 August 2024; accepted on 04 August 2024

PT XYZ has packer workers tasked with packing tissue on the production floor. In their work, problems often arise related to employees' mental workloads, such as overtime due to irregular working hours, work stress, boredom, accumulation of work, and others. This paper aims to determine the value of mental workload in PT XYZ packer workers and identify factors that cause mental workload so that recommendations for improvement can be given. The subjects of this study were four packers. Data processing was carried out using the NASA - Task Load Index (TLX) method, which has six aspects, namely Mental Demand (MD), Physical Demand 9PD), Temporal Demand (TD), Own Performance (OP), Effort (EF), and Frustration (FR). The results showed that two packers had mental workload scores in the high category above 80, with the highest value of 83,6. So that recommendations can be given for improvements to the work environment and company managerial.

Mental Workload; Packer Workers; NASA-TLX Method; Work Stress; Work Environment Improvements

https://wjarr.co.in/sites/default/files/fulltext_pdf/WJARR-2024-2356.pdf

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Errina Febi Adriyanti, Heru Prastawa and Novie Susanto. Mental workload analysis using NASA-TASK LOAD INDEX on manual napkin tissue machine in PT. XYZ. World Journal of Advanced Research and Reviews, 2024, 23(02), 482–487. Article DOI: https://doi.org/10.30574/wjarr.2024.23.2.2356

Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

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