Employee Workload Assessment in The Service and Manufacturing Industry

Authors

  • Diah Pramestari Industrial Engineering, University of Persada Indonesia YAI, Indonesia
  • Henni Henni Industrial Engineering, University of Persada Indonesia YAI, Indonesia
  • Al Ikbal Arbi Industrial Engineering, University of Persada Indonesia YAI, Indonesia
  • Novrigent Novrigent Industrial Engineering, University of Persada Indonesia YAI, Indonesia
  • Gita Prawesti

DOI:

https://doi.org/10.31098/orcadev.v1i1.868

Abstract

In the face of the COVID-19 pandemic, the industry has implemented new policies in managing its workforce, one of which is by reducing employees. The reduction of employees in the industry causes an excessive workload on several work units in the industry, both the service industry and the manufacturing industry. To perform better manpower management, management in the industry needs to know the workload of employees in each work unit.

This is quantitative research by taking a case study of one sample of the service industry involving 110 respondents and the manufacturing industry involving 90 respondents. The Modified Cooper Harper (MCH) method is applied as a tool to get an overview of the workload of employees in each category in the two industries. The workload of employees in the observed division was calculated using the MCH formula, and then heavy, medium, and light workloads were classified accordingly. In addition, an analysis will be carried out to determine the factors that influence the achievement of the workload. From the results of the study, it was found that the classification of the heavy, medium and light workloads occurred in both the service industry and the manufacturing industry. There are significant differences between each workload classification in the service industry. However, these results did not occur in the manufacturing industry. External and internal factors affect the workload of employees in the two industries, but their influence in the two industries is different.

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Published

2022-04-28

How to Cite

Pramestari, D., Henni, H., Arbi, A. I., Novrigent, N., & Prawesti, G. (2022). Employee Workload Assessment in The Service and Manufacturing Industry. Organization and Human Capital Development, 1(1), 27–39. https://doi.org/10.31098/orcadev.v1i1.868