Mental workload analysis of workers in the textile manufacturing company during the Covid-19 pandemic using NASA-TLX

The textile industry is one of the sectors affected by the Covid-19 pandemic. Both companies and workers experience uncertainty in their work. Research on workloads in the textile industry needs to be done because the textile industry is a labor-intensive industry that involves many workers in their work activities. However, research on the mental workload of workers during the Covid-19 pandemic has not been carried out. This study aims to evaluate the mental workload of textile industry workers during the pandemic. A state-owned company engaged in the textile industry in Yogyakarta Province is used as a case study. This research uses the Nasa TLX method, which measures six workload dimensions: Mental Demand, Physical Demand, Temporal Demand, Performance, Effort, and Frustration Level. The results show that operators and mechanics have high mental workloads, indicated by an average WWL value of more than 50. The most influential indicator for weaving operators is the OP (Own Performance), with an average WWL of 283.33. In contrast, the indicator for mechanics is the EF (Effort) with a WWL mean of 278.67. The regression and correlation test results show that the length of work for operators and mechanics has a positive effect on the average WWL, while the workers' age has a negative effect on the average WWL. Meanwhile, the one-way ANOVA test shows no significant difference in the average WWL between work shifts.