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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
Kata kunci:Kuantitas Tidur, Kualitas Tidur, Sleep Deprivation, Accident
The study of sleep deprivation has only recently been seen based on statements fromresearch respondents, victims and eyewitnesses who are very subjective. The highnumber of accidents arising from sleep deprivation and the difficulty of finding objectivedata on the actual quantity and quality of sleep experienced by workers, especially shiftoperator hauling truck workers is still a big problem, especially in the field of OHS science.This is a cross sectional study. The variables of this study are quantity of sleep, qualityof sleep, salivary alpha amylase, blood pressure, heart rate, blood oxygen levels, bodytemperature, sleep hygiene, individual characteristics and workload. Research conductedfor 1 month in mining company in Indonesia. The average sleep duration of Fitbit onhauling truck operator with 2 shift pattern is 149 minutes or 2 hours 29 minutes while in3 shift pattern is 182 minutes or 3 hours 8 minutes. Quality of sleep on hauling truckoperator with 2 shift pattern is 13% in REM, 38% in light sleep and 12.7% in deep sleep.While the pattern of 3 shifts is 14.2% in REM, 44.7% in light sleep and 13.1% in deepsleep.
Key words:Quantity of Sleep, Quality of Sleep, Sleep Deprivation, Accident.
Penelitian ini bertujuan untuk analisa pengaruh beban kerja terhadap kelelahan pada operator "heavy dump truck" HD 785-5 di PT. Pamapersada Nusantara district X tahun 2007, dan merupakan studi yng bersifat kualitatif dengan variabel data bersifat kualitatif dan kuantitatif, yang kemudian dikuantitatifkan dengan pendekatan cross-sectional. Populasi dalam penelitian ini adalah operator truck produksi dengan kategori untuk unit HD 785-5 PT. Pamapersada Nusantara distict X dengan jumlah keseluruhan responden sebanyak 60 orang. Analisis data menggunakan analisis statistik yaitu analisis univariat, dilanjutkan dengan analisis bivariat menggunakan uji signifikansi (Chi-square) dan dilanjutkan dengan uji korelasi (nilai r). Hasil penelitian menunjukkan bahwa mayoritas operator HD 785-5 (37 orang/61.7%) mengalami tingkat kelelahan ringan. Berdasarkan uji signifikansi (chi-square) dan Uji korelasi (nilai r) yang dilakukan terhadap empat variabel independen, diketahui bahwa faktor yang terdapat signitikan pada operator heavy dump truck PT. Pamapersada district X adalah faktor Iama mengemudi yang merupakan faktor eksternal. Lama mengemudi terbukti mempengaruhi kelelahan operator heavy dump truck PT. Pamapersada Nusantara distict X, sehingga untuk mengurangi terjadinya kelelahan diperlukan adanya sharing informast atau pengalaman antara operator senior dan adanya srecthing untuk para operator apabila untuk meregangkan kekakuan otot dan perlunya pengaturan istirahat yang tepat untuk menghindari terjadinya kelelahan Iebih lanjut. Peneliti berharap penelitian ini dapat memberikan rekomendasi dan masukan kepada PT. Pamapersada Nusantara district X untuk pembuatan program guna mengurangi angka kecelakaan pada kecelakaan yang diduga dikarenakan oleh kelelahan pada umumnya dan khususnya untuk meningkatkan kewaspadaan terhadap terjadinya kelelahan.
This research is going to ind the influence of workload to the fatigue of Operator Heavy Dump Truck HD 785-5 at PT. Pamapersada Nusantara district X, and constitute of qualitative study with qualitative and quantitative data variable, then made it quantitative with cross-sectional approach. The Population in this research are all of the operator PT. Pamapersada Nusantara district X that operated HD 785-5 with quantity 60 respondens. Data analysis using statistic analysis i.e univariate analysis, follow up by bivariate analysis with chi-square and PPM (Pearson's Product Moment). The Result of the research show that the majority of operator Heavy Dump Truck HD 785-5 (37 persons / 61,7%) was in mild category. Based on chi-square and PPM test that had done to four independence variables, the result that related and associated of workload influence the fatigue of operator Heavy Dump Truck HD 785-5 is Driving Duration, it's one of research external factors. Driving duration was proven be influence of operator Heavy dump truck fatigue's at PT. Pamapersada Nusantara district X. To eliminate fatigue is necessary to share information and experience from senior to junior, and next is the stretching movement to the operator with intend to relax muscle from stiffness and the last one is rest time management in certain shift which indicated and predicted that necessary to take in action in case to avoid further act of fatigue. Researcher hopefully that this research could contribute and give proper recommendation to PT. Pamapesada Nusantara District X, for developing fatigue management program to eliminate incident rate (In General) and to conduct fatigue awareness through safety program planning (ln Specific), which indicated and predicted because of Fatigue.
