Raharjo Caesar Nurhadiono, Wibowo Suryo, Kekalih Aria, Agustina Amilya, Ilyas Muhammad
Postgraduate Program of Occupational Medicine, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia.
Department of Community Medicine, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia.
Acta Med Philipp. 2025 Jun 13;59(7):74-83. doi: 10.47895/amp.vi0.6823. eCollection 2025.
This study aimed to examine the impact of work schedule and work position on fatigue levels among employees at a private geothermal firm in Indonesia during the COVID-19 pandemic. The company has modified its work schedule considering the COVID-19 epidemic to ensure a continuous supply of energy and meet the needs of the public.
In this cross-sectional study, the dependent variable is fatigue, which is classified as a latent variable. Fatigue is assessed using the Indonesian version of the Swedish Occupational Fatigue Inventory (SOFI). Fatigue is a condition that has five dimensions: lack of energy, physical exertion, physical discomfort, sleepiness, and lack of motivation. The observed variables in this study include work schedule and work position, which serve as independent variables. Using structural equation modeling (SEM), we assessed the impact of the independent variables on each dimension of fatigue. This approach allowed for the analysis of both the measurement and structural models.
The investigation employed total sampling, involving 132 workers from the company who willingly participated in the study. According to the findings, workers' main fatigue dimension was lack of energy. However, the statistical analysis did not establish a significant influence of work schedule and work position on fatigue.
Based on the findings of the SEM analysis, it is evident that there is no statistically significant correlation between work schedules and job positions with various dimensions of fatigue assessed using the SOFI questionnaire. These dimensions include lack of energy, physical exertion, physical discomfort, sleepiness, and lack of motivation. While this outcome suggests that work schedules and job positions may not directly influence fatigue levels as measured in this study, it underscores the importance of implementing occupational health and safety management systems. Additionally, promoting good work practices such as offering flexible working hours may help address potential fatigue concerns among employees. However, further research is necessary to explore additional variables that could potentially impact fatigue levels in the context of the COVID-19 pandemic and beyond.
本研究旨在探讨新冠疫情期间，印度尼西亚一家私营地热公司员工的工作时间表和工作岗位对疲劳程度的影响。考虑到新冠疫情，该公司调整了工作时间表，以确保能源的持续供应并满足公众需求。
在这项横断面研究中，因变量是疲劳，被归类为一个潜在变量。使用瑞典职业疲劳量表（SOFI）的印尼语版本评估疲劳程度。疲劳是一种具有五个维度的状态：精力不足、身体劳累、身体不适、困倦和缺乏动力。本研究中的观测变量包括工作时间表和工作岗位，它们作为自变量。我们使用结构方程模型（SEM）评估自变量对疲劳各维度的影响。这种方法允许对测量模型和结构模型进行分析。
该调查采用了全样本抽样，涉及该公司132名自愿参与研究的员工。根据研究结果，员工主要的疲劳维度是精力不足。然而，统计分析并未发现工作时间表和工作岗位对疲劳有显著影响。
基于SEM分析的结果，很明显，使用SOFI问卷评估的工作时间表和工作岗位与疲劳的各个维度之间不存在统计学上的显著相关性。这些维度包括精力不足、身体劳累、身体不适、困倦和缺乏动力。虽然这一结果表明工作时间表和工作岗位可能不会直接影响本研究中所测量的疲劳程度，但它强调了实施职业健康与安全管理系统的重要性。此外，推广良好的工作做法，如提供灵活的工作时间，可能有助于解决员工潜在的疲劳问题。然而，有必要进行进一步的研究，以探索在新冠疫情及以后可能影响疲劳程度的其他变量。
