Evaluasi Fisiologi Kerja pada Pengrajin Sepatu Surabaya
Keywords:
Physiology, Cardiovascular, Crafter, Physical Workload, ErgonomicAbstract
The purpose of this study was to assess cardiovascular strain during crafting procedures in terms of physical workload, using heart rate fluctuations and pain complaints. Researchers used the Nordic Body Map questionnaire (NBM) to quantify resting and working heart rates, cardiovascular load (%CVL), cardiovascular strain (%CVS), reserve heart rate (%RHR), energy expenditure, oxygen intake, and pain complaints in 35 participants. The job was assessed as satisfactory based on the results of%CVL and%CVS. Similarly, a high-level category for %RHR in moderate energy expenditure was recorded. However, utilising the NBM questionnaire, there are many complaints of hand pain. As a result, there is a need to adapt the work content of the equipment used while keeping the physical effort at an acceptable level, as this will increase their productivity and reduce their health risk.
References
Chihara, T., Seo, A., & Sakamoto, J. (2019). A novel approach to bi-objective optimization of touch-screen installation position for minimizing physical workload and increasing screen visibility. Applied Ergonomics, 81, 102881. https://doi.org/10.1016/j.apergo.2019.102881
Fonseca, H., Santos, N., Loureiro, I., & Arezes, P. (2016). Participatory ergonomic approach for workplace improvements: A case study in an industrial plant. Advances in Intelligent Systems and Computing, 491, 407–419. https://doi.org/10.1007/978-3-319-41929-9_38
Gallagher, S., Moore, J. S., & Stobbe, T. J. (1998). Physical strength assessment in ergonomics.
Gruet, M., Vallier, J. M., Mely, L., & Brisswalter, J. (2010). Long term reliability of EMG measurements in adults with cystic fibrosis. Journal of Electromyography and Kinesiology, 20(2), 305–312. https://doi.org/10.1016/j.jelekin.2009.05.001
Harriott, C. E., Zhang, T., & Adams, J. A. (2013). Assessing physical workload for human–robot peer-based teams. International Journal of Human-Computer Studies, 71(7–8), 821–837. https://doi.org/10.1016/j.ijhcs.2013.04.005
Jame Chenarboo, F., Hekmatshoar, R., & Fallahi, M. (2022). The influence of physical and mental workload on the safe behavior of employees in the automobile industry. Heliyon, 8(10), e11034. https://doi.org/10.1016/j.heliyon.2022.e11034
Kang, S. H., Lee, J., & Jin, S. (2021). Effect of standing desk use on cognitive performance and physical workload while engaged with high cognitive demand tasks. Applied Ergonomics, 92, 103306. https://doi.org/10.1016/j.apergo.2020.103306
Lee, W., Lin, J.-H., Howard, N., & Bao, S. (2022). Methods for measuring physical workload among commercial cleaners: A scoping review. International Journal of Industrial Ergonomics, 90, 103319. https://doi.org/10.1016/j.ergon.2022.103319
Mänttäri, S. K., Oksa, J. A. H., Virkkala, J., & Pietilä, J. A. K. (2019). Activity Level and Body Mass Index as Predictors of Physical Workload During Working Career. Safety and Health at Work, 10(4), 527–530. https://doi.org/10.1016/j.shaw.2019.09.002
Neise, T., & Revilla Diez, J. (2019). Adapt, move or surrender? Manufacturing firms’ routines and dynamic capabilities on flood risk reduction in coastal cities of Indonesia. International Journal of Disaster Risk Reduction, 33, 332–342. https://doi.org/10.1016/j.ijdrr.2018.10.018
Pfleging, B., Fekety, D. K., Schmidt, A., & Kun, A. L. (2016). A Model Relating Pupil Diameter to Mental Workload and Lighting Conditions. Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems - CHI ’16, 5776–5788. https://doi.org/10.1145/2858036.2858117
Sari, A. D., Suryoputro, M. R., Pramaningtyas, M. D., Putra, P. S., & Maulidyawati, S. B. (2016). Work Physiology Evaluation of Laundry Workers. IOP Conference Series: Materials Science and Engineering, 105(January), 012034. https://doi.org/10.1088/1757-899X/105/1/012034
Schwartz, A., Gerberich, S. G., Albin, T., Kim, H., Ryan, A. D., Church, T. R., Green, D. R., McGovern, P. M., Erdman, A. G., & Arauz, R. F. (2021). Janitors’ mental workload, psychosocial factors, physical fitness, and injury: The SWEEP study. International Journal of Industrial Ergonomics, 83, 103132. https://doi.org/10.1016/j.ergon.2021.103132
Smith, T. J. (1994). Core Principles of Human Factors Science. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 38(9), 536–540. https://doi.org/10.1177/154193129403800917