Mental Workload Analysis of Production Department Employees Using the Nasa TLX Method at PT. X

Abstract

The automotive battery manufacturing industry has work characteristics that require precision, concentration, and speed, thus potentially increasing the mental workload of operators. This study aims to analyze the level of mental workload of operators in the AMB Charging area of ​​PT. X, identify the factors that most influence mental workload, determine the workstation with the highest mental workload, and provide recommendations for improvements. The study used a quantitative method with a descriptive approach. The study population was all 10 AMB Charging area operators and all were sampled based on the Slovin formula calculation. Data collection was carried out through observation, interviews, documentation, and the NASA-TLX questionnaire that measures six dimensions of mental workload. Data analysis was carried out through weighting, rating, Weighted Workload (WWL) calculation, and interpretation of NASA-TLX scores. The results showed that all workstations had mental workload levels in the high to very high category. The Process Dumping, Refilling, Adjustment, and Checker workstations obtained the highest score of 90.20, while the Process Packing obtained the lowest score of 62.00. The most dominant dimensions were Mental Demand, Time Demand, and Effort. This study concludes that mental workload management needs to be prioritized at the highest-scoring workstations through work system improvements, operator training, production target evaluation, and increased automation to reduce human error and improve product quality