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

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