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Universitas Hasanuddin
Research output:Contribution to journalArticlepeer-review

Analysis of Factors Influencing Work Fatigue Among Workers in Noise-Exposed Environments at The Antang Furniture Industrial Area

Husaeni N.

Salud Ciencia Y Tecnologia

Q3
Published: 2025

Abstract

Introduction: Work fatigue in the informal furniture industry in Antang, Makassar, is triggered by noise, long hours, and heavy loads, which reduce health and productivity and increase the risk of accidents, so a comprehensive K3 program is needed to overcome it.Methods: This study uses a mixed-methods method with a sequential explanatory design, combining quantitative analysis of 103 furniture industry workers in Antang Makassar through questionnaires and direct measurements, as well as qualitative phenomenological analysis through in-depth interviews, observations, and documentation to comprehensively reveal the factors that influence work fatigue.Results: Bivariate analysis of 103 respondents showed a significant relationship (p < 0.05) between age, nutritional status, sleep quality, use of PPE, length of service, smoking habits, and physical workload with the level of work fatigue; ordinal logistic regression found five variables significantly influencing work fatigue, namely age (p = 0.041), nutritional status (p = 0.037), use of PPE (p = 0.027), length of service (p = 0.000), and physical workload (p = 0.039), with the model explaining 54% of the variation in work fatigue (Nagelkerke R² = 0.540); in-depth interviews revealed that workers ≥45 years old experienced decreased stamina, eating habits affected energy, use of PPE was beneficial although sometimes uncomfortable, and length of service and heavy physical workload exacerbated by noise caused fatigue and decreased work motivation.Conclusions: Research in the Antang Makassar Furniture Industrial Area shows that age, nutritional status, length of service, use of ear protection, and physical workload significantly affect work fatigue, so that workload adjustments, nutritional education, rest arrangements, and the use of appropriate protective equipment are essential to improve worker health and productivity.

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10.56294/saludcyt20252175

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WorkloadSciences
Work (physics)Sciences
Environmental healthSciences
ProductivitySciences
Logistic regressionSciences
Bivariate analysisSciences
EngineeringSciences
Operations managementSciences
Affect (linguistics)Sciences
Furniture industrySciences
Ordered logitSciences
Service (business)Sciences
Applied psychologySciences
Occupational safety and healthSciences
PsychologySciences
Multilevel modelSciences
Multivariate analysisSciences
Work-related musculoskeletal disordersSciences
Work environmentSciences
Regression analysisSciences
Expectancy theorySciences
AbsenteeismSciences
GerontologySciences
DocumentationSciences
Work performanceSciences
Human factors and ergonomicsSciences
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Multinomial logistic regressionSciences