{"title":"Analysis of Mental Workload in Human Resource Department","authors":"S. Miranda, S. Indrawati, W. Wulandari","doi":"10.1109/ICSTC.2018.8528658","DOIUrl":null,"url":null,"abstract":"The role of human resources (HR) is an important key in the sustainability of an industry. In order to optimize its human resources utilization, a company needs to measure the workload of its employees so they can perform their tasks properly. In this study, we determine the mental workload of 11 employees in Human Resources Division at a pipe industry, and analyse the indicators affecting the mental workload. NASA-TLX is applied in measuring the workload because it is a measurement technique of workload that has been implemented in various fields and research applications. The results shows that the mental workload of each employee is high but Cleaning Coordinator. Furthermore, Personnel Services Admin is the highest mental workload among others with a score to 79.33. While the lowest is Cleaning Coordinator reaching 30. Mental Demands (MD) is the most significant indicator influencing mental workload up to 780.","PeriodicalId":196768,"journal":{"name":"2018 4th International Conference on Science and Technology (ICST)","volume":"530 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 4th International Conference on Science and Technology (ICST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSTC.2018.8528658","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The role of human resources (HR) is an important key in the sustainability of an industry. In order to optimize its human resources utilization, a company needs to measure the workload of its employees so they can perform their tasks properly. In this study, we determine the mental workload of 11 employees in Human Resources Division at a pipe industry, and analyse the indicators affecting the mental workload. NASA-TLX is applied in measuring the workload because it is a measurement technique of workload that has been implemented in various fields and research applications. The results shows that the mental workload of each employee is high but Cleaning Coordinator. Furthermore, Personnel Services Admin is the highest mental workload among others with a score to 79.33. While the lowest is Cleaning Coordinator reaching 30. Mental Demands (MD) is the most significant indicator influencing mental workload up to 780.