Pengukuran Beban Kerja Mental Job Driver Dan Swamper Team Fuel Menggunakan NASA-TLX

Qurthuby, Muhammad · 2022 · Crossref

DOI: 10.37859/jst.v8i2.3283

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Summary

This study addresses the issue of excessive mental workload among fuel tank drivers and swampers at PT XYZ, a construction and logistics company operating in oil drilling maintenance projects. The motivation for the research stems from observed negative impacts of high workload, including reduced attention, decreased motivation, lower skill levels, and an elevated risk of workplace accidents. The primary objective was to quantify the mental workload of these workers using the NASA-TLX (Task Load Index) method to identify specific stressors and inform management interventions. The methodology employed the NASA-TLX instrument, which measures mental workload across six dimensions: Mental Demand, Physical Demand, Temporal Demand, Own Performance, Effort, and Frustration Level. The study involved six respondents: three drivers and three swampers. The assessment process included pairwise comparisons to determine the weight of each dimension based on its perceived importance to the overall workload, followed by rating each dimension on a scale of 1 to 100. The final NASA-TLX score was calculated by multiplying the weights by the ratings, summing the products, and dividing by the total number of pairwise comparisons (15). Scores were categorized into five levels, with 80–100 indicating "Very High" workload. The results revealed that all six workers experienced a "Very High" mental workload. The individual NASA-TLX scores ranged from 83.7 to 94.7. Specifically, Driver 1 scored 93.8, Driver 2 scored 83.7, and Driver 3 scored 91.3. Among the swampers, Swamper 1 scored 91.0, Swamper 2 scored 89.5, and Swamper 3 scored 94.7. Analysis of the contributing elements showed that Mental Demand was the most influential factor, accounting for 22% of the total workload score. This was followed by Effort (20%), Physical Demand (18%), Own Performance (15%), Frustration Level (15%), and Temporal Demand (12%). These findings indicate that the cognitive requirements and the perceived effort required to complete tasks are the primary drivers of stress for these employees. The significance of this study lies in its identification of critical workload components that threaten productivity and safety. The authors conclude that the current workload exceeds optimal levels, necessitating immediate managerial action. Recommendations include implementing workload sharing strategies, enhancing employee motivation, and conducting regular evaluations to align job demands with human capabilities. By addressing these high mental demands, the company can mitigate the risks of accidents and improve overall operational efficiency.

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• workload measurement
• mental demand

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• Empirical Findings: self report data