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Worker Fatigue Determinants and Work Productivity Levels in Operator Workers at Public Fuel Filling Stations in Makassar City. 3 https://doi.org/10.58209/hehp.13.3.481
URL: http://daneshafarand.org/article-1-81322-en.html
URL: http://daneshafarand.org/article-1-81322-en.html
Abstract: (877 Views)
Aims: One of the main sources of fire risk is fuel stations located in residential areas. Gas stations pose a fire hazard, as incidents have been reported globally, especially in developing countries. Fuel station operators are expected to work quickly and responsibly, using both physical and mental energy. This study aimed to examine the determinants of work fatigue and assess the level of work productivity among fuel station operators in Makassar City.
Instrument & Methods: This cross-sectional observational analytic research was conducted on 135 sample operators in two Tamalanrea and Biringkanaya subdistricts of Makassar City from May to June 2024. The research instrument included questionnaires and measuring tools, such as scales, height gauges, and reaction time gauges. Data were analyzed using univariate, bivariate, and multivariate analyses employing SPSS 25 software.
Findings: Significant associations were found between work fatigue and operator productivity (p=0.043), monotonous work and operator productivity (p=0.047), and nutritional status and operator productivity (p=0.030).
Conclusion: Work fatigue, monotonous tasks, and nutritional status are significantly related to productivity levels.
Instrument & Methods: This cross-sectional observational analytic research was conducted on 135 sample operators in two Tamalanrea and Biringkanaya subdistricts of Makassar City from May to June 2024. The research instrument included questionnaires and measuring tools, such as scales, height gauges, and reaction time gauges. Data were analyzed using univariate, bivariate, and multivariate analyses employing SPSS 25 software.
Findings: Significant associations were found between work fatigue and operator productivity (p=0.043), monotonous work and operator productivity (p=0.047), and nutritional status and operator productivity (p=0.030).
Conclusion: Work fatigue, monotonous tasks, and nutritional status are significantly related to productivity levels.
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