Assessment of Mental Workload Focusing on Work Performance Dimension Using NASA-TLX: A Case

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Published: Jul 30, 2025
DOI: https://doi.org/10.24853/jurtek.17.2.181-192
Keywords:
Mental workload, NASA-TLX, Ishikawa Diagram, Work productivity, Production operators

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Soma Satria
Universitas Singaperbangsa Karawang
Rianita Puspa Sari
Universitas Singaperbangsa Karawang

Abstract

This study was conducted to evaluate the mental workload of employees in the plastic sheet production process at PT XYZ. Problems arise from indications of fatigue and decreased employee productivity, which are identified through initial observation and discussion with the company. The main objective of this study was to analyze the level of mental workload using the NASA-TLX method and identify the main causative factors through the Ishikawa Diagram approach. Data was collected through the distribution of questionnaires to 36 respondents of production operators as well as interviews with related parties. However, only 30 respondents were included in the research sample this time through a purposive sampling approach. The results showed that the Performance (OP) dimension was the largest contributor to mental workload, with the highest value in this component. Based on Ishikawa's Diagram analysis, it was found that the main causes came from the human, machine, and work methods aspects. Therefore, companies are advised to make improvements in human resource management, improve job training, and improve work systems to reduce the level of mental workload of employees and increase work productivity. This research contributes to companies in understanding the factors that affect mental workload and strategies to improve employee well-being. The findings indicate that targeted ergonomic interventions are essential for achieving a healthier and more effective production environment.

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How to Cite
Satria, S., & Sari, R. P. (2025). Assessment of Mental Workload Focusing on Work Performance Dimension Using NASA-TLX: A Case. Jurnal Teknologi, 17(2), 181–192. https://doi.org/10.24853/jurtek.17.2.181-192
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Vol. 17 No. 2 (2025): Jurnal Teknologi
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Articles
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