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IJSTR >> Volume 9 - Issue 10, October 2020 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

The Physical Workload Analysis By Cardiovascular Load (CLV) Method For Administration Employees

[Full Text]



Shinta Prastika, Dayal Gustopo, Prima Vitasari



workload, cardiovascular load, heart rate, ergonomics, productivity



A workload adjustment is an important factor in any type of work. Adjustment of physical workload must be maintained in balance to make employees not burnt out by excessive workload when carrying out their activities. Excessive workload can lead to decreased work productivity, work motivation, work injuries, and reduced concentration. This service company is one of the state companies run in shipping and logistics services businesses. It must be able to control the workload to make it appropriate for its employees. The service company owns many subsidiaries throughout Indonesia, although difficult to evaluate, this company must be able to balance the physical workload in its entire company. One example from the branch of Malang Raya showed an unbalanced physical workload. Therefore it is necessary to measure the workload in this study by applying the Cardiovascular Load (CVL) Method. This method is used by several previous studies to measure the physical workloads. The measurement instrument to gauge the physical workload is an oximeter. Participants in this study were the employees with a total amount of 30 people. It conveys an average result of 40.75 % from 30 employees taken of the branch of Malang Raya. This result measurement categorized as high classification of workload so that improvements are needed to help in balancing the physical workload which experienced by most of its employees. From the workload measurement, this service company should consider the evenly distributed tasks or workloads over each employee in this company, especially for those who have experienced physical overload. In addition, it is necessary to consider additional employees at branches of service companies whose working conditions had reached the workload limit. As for the next researcher, it can be analyzed to see the mental workload and employee needs for each branch of this service company.



[1]Andersen, L. L., Fallentin, N., Thorsen, S. V., & Holtermann, A. (2016). Estimating construction workers physical workload by fusing computer vision and smart insole technologies. International Symposium on Automation and Robotics in Construction, China.
[2] Castro, S. C., Strayer, D. L., Matzke, D., & Heathcote, A. (2019). Cognitive Workload Measurement and Modeling Under Divided Attention. Journal of Experimental Psychology:Human Perception and Performance, Advance online publication.
[3] Cédric St-Onge ,Nadjia Kara, Omar Abdel Wahab, Claes Edstrom, Yves Lemieux.(2020). Detection of time series patterns and periodicity of cloud computing workloads. Future Generation Computer Systems 109,249–261. https://doi.org/10.1016/j.future.2020.03.059
[4] Charles, R.L. (2019). Measuring Mental Workload Using Physiological Measures : A Systematic Review. Cranfield University, United Kingdom.
[5] Darvishi, E., Mehdi Meimanatabadi.(2015). The rate of subjective mental workload and it’s correlation with musculoskeletal disorders in bank staff in Kurdistan, Iran.
[6] Ernawati, R., Suhardi, B., Pujiyanto, E.(2017).Using the NASA task load index and heart rate to evaluate vocational student’s mental and physical workload. AIP Conf. Proc. 2097, 030057-1–030057-6.
[7] Gan Yu, Xiaolu Dong, Yijing Zhang, Xuegang Zhang , Ming Jia, Zhaopeng Liu, Zhizhong Li.(2020). Workload Measurement Using Physiological and Activity Measures for Validation Test : A case study for the main control room of a power plant. Beijing, China.
[8] Ilies, R., Huth, M., Ryan, A. M., & Dimotakis, N. (2015). Explaining the links between workload, distress, and work–family conflict among school employees: Physical, cognitive, and emotional fatigue. Journal of Educational Psychology, 107(4), 1136–1149.
[9] Kamilla, R.J., Eydis, H.M., Signour,S., Jon, G.(2017).Cardiovascular monitoring of cognitive workload: Exploring the role of individuals‘ working memory capacity. Department of Psychology,Reykjavik University,Iceland.
[10] Luque-Casado, A., Perales, J. C., Cárdenas, D., & Sanabria, D. (2016). Heart rate variability and cognitive processing: The autonomic response to task demands. Biological Psychology, 113, 83–90.
[11]Molino, M., Cortese, C. G., Bakker, A. B., & Ghislieri, C. (2015). Do recovery experiences moderate the relationship between workload and work-family conflict? Career Development International, 20(7), 686–702.
[12]Shakouri ,M., Ikuma L.H., Aghazadeh,F., Nahmens,I.(2018). Analysis of the sensitivity of heart rate variability and subjective workload measures in a driving simulator: The case of highway work zones. International Journal of Industrial Ergonomics 66, 136-145.
[13]Srimarut Thammarak, Mekhum Witthaya.(2020). The Influence of Workload and Co-Worker Attitude on Job Satisfaction among Employees of Pharmaceutical Industry in Bangkok, Thailand: The Mediating Role of Training. Sys Rev Pharm 2020; 11(2): 603 611.
[14] Stuiver, A., Brookhuis, K. A., de Waard, D., & Mulder, B. (2014). Short-term cardiovascular measures for driver support: Increasing sensitivity for detecting changes in mental workload. International Journal of Psychophysiology, 92(1), 35–41.