an analysis of the impact of workload towards the risk of fatigue level on pt kci machinists

the operation of railway transportation especially the electric train (krl) on pt kci still uses goa 0 (grade of automation). this means that this facility is manually controlled by the machinist. this kind of condition will affect the fatigue caused by the received workloads. the purpose of this study is to determine whether there is an influence of workload on the risk of fatigue and its level on pt kci machinists, to minimize the risks from the workload by using the national aeronautics and space administration task load index (nasa-tlx) method to measure workload. the measurement of work fatigue uses the subjective self rating test (ssrt). based on the 101 respondents proceeded data, there is an influence of variable x (workload) on variable y (work fatigue) with a value of 13.8% while the rest is influenced by other variables not under research. the value was obtained from a simple linear regression analysis process using the coefficient of determination test.