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Data Kementerian ESDM mencatat 93 kecelakaan di area pertambangan pada tahun 2021, dengan 36 kecelakaan ringan dan 57 kecelakaan berat, merenggut 11 korban jiwa. Tahun 2019 menjadi tahun terburuk dengan 133 kecelakaan (27 ringan, 106 berat) dan 24 korban jiwa. Penelitian ini bertujuan untuk mengetahui hubungan kualitas tidur dengan kelelahan kerja setelah dikontrol oleh variabel confounding pada operator alat berat industri pertambangan PT.X Site A 2024. Metode yang digunakan pada penelitian ini adalah penerapan rancangan cross-sectional. Studi ini melibatkan 213 pekerja yang diminta untuk mengisi kuisioner. Analisis data dilakukan menggunakan uji multivariat analisis faktor risiko. Hasil penelitian menunjukkan bahwa 49,3% pekerja mengalami kelelahan kerja pada tingkat berat, sedangkan 50,7% responden mengalami kelelahan kerja pada tingkat ringan. Hasil penelitian menunjukkan terdapat hubungan antara kualitas tidur dengan kelelahan kerja (p value=0,011). Pekerja yang memiliki kualitas tidur buruk berisiko 2,38 kali untuk mengalami kelelahan kerja berat dibandingkan pekerja yang memiliki kualitas tidur baik setelah dikontrol oleh variabel masa kerja, waktu perjalanan, lingkungan tidur, dan faktor psikososial (overcommitment) (aOR=2,38 95% CI 1,22 – 4,65). Kata kunci: kelelahan kerja, kualitas tidur, operator alat berat, pertambangan
Data from the Ministry of Energy and Mineral Resources (ESDM) recorded 93 accidents in mining areas in 2021, with 36 minor accidents and 57 serious accidents, claiming 11 lives. The year 2019 was the worst year with 133 accidents (27 minor, 106 serious) and 24 fatalities. This research aims to determine the relationship between sleep quality and work fatigue after controlling for confounding variables in heavy equipment operators in the mining industry of PT.X Site A 2024. The method used in this research is the application of a cross-sectional design. This study involved 213 workers who were asked to fill out questionnaires. Data analysis was performed using multivariate risk analysis. The results of the study showed that 49.3% of workers experienced severe work fatigue, while 50.7% of respondents experienced mild work fatigue. The results of the study showed that there is a relationship between sleep quality and work fatigue (p value = 0.011). Workers with poor sleep quality were 2.38 times more likely to experience severe work fatigue compared to workers with good sleep quality after controlling for work experience, travel time, sleep environment, and psychosocial factors (overcommitment) (aOR = 2.38 95% CI 1.22 – 4.65). Keywords : work fatigue, sleep quality, heavy equipment operators
Kata Kunci: Kelelahan; Fatigue Assessment Scale (FAS); Shift Kerja; Tidur; Fitbit
Operator haul truck Haul truck operator is one of the high-risk occupations in experiencing fatigue caused by the implementation of shift work, sleep quantity and quality disturbance, other related factors. The objective of this study was to analyze the relationship between shift work, quantity and quality of sleep, and other factors associated with fatigue on the haul truck operator. A cross-sectional study was conducted in this study using questionnaires of Fatigue Assessment Scale (FAS), measurement of stress using cocorometer, and measurement of sleep quantity and quality using fitbit among 196 male respondents who work as haul truck operator. The result of this study shown there is a significant correlation between the quantity of sleep (OR = 3,222, p = 0,028) and fatigue, also between the quality of sleep (OR = 2,800, p = 0.025) and fatigue. However, shift work has no significant correlation with fatigue. Other factors, including mental workload (OR = 2,296, p = 0,027), work environment (OR = 2,400, p = 0,014), monotonous work (OR = 3,371, p = 0,002), age (OR = 2,708, p = 0,005), and sleep hygiene (OR = 3,840, p = 0,001) also have significant correlation with operator fatigue in PT X.
Keywords: Fatigue; Fatigue Assessment Scale (FAS); Shift Work, Sleep; Fitbit; Haul truck operator
Some major accidents on offshore platforms are caused by a lack of awareness and fatigue experienced by workers. Fatigue and lack of awareness in some literature is caused by a lack of good quality and quantity of sleep. The quality and quantity of sleep is affected by the sleep hygiene practiced by workers, the conditions of accommodation and work shifts performed. This study aims to observe of the quantity and quality of sleep, the relationship between sleep hygiene and the quality and quantity of sleep, and to observe the relationship between sleep quality and the aspects of alertness and fatigue experienced by workers. The research was conducted at the offshore platform of PT. X, with 24 workers responding to the questionnaire, and 22 workers using actigraphy tools. Actigraphic data collection was carried out for 14 working days and divided into three different shift groups. From the PSQI 63.1% of respondents had poor sleep quality and 36.9% of respondents had good sleep quality. The lowest average sleep duration based on data collection with actigraphic devices was obtained during the night shift (300 minutes), while the highest sleep duration was obtained by non-shift workers (358 minutes). Actigraphy data shows that the average sleep duration with HVAC A longer than using HVAC B. There were 59.5% of respondents experiencing normal fatigue and 40.5% of respondents experiencing mild fatigue. Almost all respondents had good sleep hygiene (95.2%) and there was no relationship between sleep hygiene and sleep quality. There was no relationship between sleep quality and worker alertness (p-value:0,466). And there is no relationship between sleep quality and worker fatigue (p-value: 0.062)
Fatigue is one of the cause of accidents. The objective of this study is to examineacute fatigue potential based on a Occupational Fatigue Exhaustion Recovery(OFER) scale and types of heavy equipment, analyze the relationship betweenwork-related fatigue (duration, workload and shift work), response to non-work-related fatigue (age, nutritional status, commuting time, the number of hours ofsleep) with the occurrence of fatigue on heavy equipment operator. This researchwas conducted from April until July 2016 at heavy equipment operator in themine area 1 Bukit Karang Putih. Number of study respondents 50 people. Thestudy is observational quantitative research with cross-sectional method.Measurement of fatigue using a OFER scale and the results show that 48% ofrespondents experiencing moderate acute fatigue, 44% of dump truckexperiencing high acute fatigue, shift has significant correlation with high andmoderate acute fatigue potential (p value = 0.027). recomendation to company PTSemen Padang to provide education or training about risk factor fatigue to heavyequipment operator.Keywords:Acute fatigue, Heavy Equipment Operator Fatigue, OFER Scale, Shift
