Assessing Mental Workload of Automotive Factory Employees Using NASA-TLX and RSME Methods

Abstract

The emergence of an increase in competition for automotive products has made a number of companies continue to plan and release new types of models every year. With the increase in the amount of work that must be completed, mental workload becomes one of the important things to consider to reduce the risk of production failure and the emergence of work stress. PT XXX, one of the automotive product suppliers in Indonesia, is one of the companies experiencing an increase in workload, especially in realizing new product plans in the next 2025. The increase in the number of products in the company has a direct impact on the workload of each worker in an effort to realize new car units in 2025. This makes the company must be able to measure the physical and mental stability of Human Resources which is one of the company's important assets. To understand this, this research was conducted to analyze the mental workload conditions of workers at PT XXX to determine the workload of each worker and to improve the current work system. In measuring workload, the methods used to measure the workload of workers are using the NASA-TLX and RSME methods. The result shows that the mental workload experienced by employees of PT XXX have an average NASA-TLX score of 62.09 and an average RSME score of 97.52. By using the results of the WWL mental load score calculation, this accepts the hypothesis that each different production process job has a different mental workload. This can accept the hypothesis that work using the mental mind such as observing and analyzing provides a higher mental work impact than work with repetition. Quality Assurance has the Highest Mental Work load known from calculations based on the NASA-TlX and RSME methods, each of which produces the highest value. This shows that the NASA-TLX method produces calculations that are in line with the RSME method.