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Professional drivers with monotonous work characteristics with long mileage andlong driving duration even past supposed rest periods so as to conflict with naturalcircadian rhythms, as well as continuous driver seats along the way may cause driverfatigue. This condition is exacerbated by the lack of quantity of sleep as well as poor sleepquality and sleep hygiene drivers. The driver at PT. X has the task of distributing fuelusing a tank with a capacity of 16,000 L with an average mileage taken over 300 km andthe duration of travel more than 8 hours. These various conditions can cause fatigue inthe driver of PT. X. Analytical research with cross-sectional design is aimed to analyzethe relationship between the quantity of sleep, sleep quality, sleep hygiene, drivingduration and mileage with driver truckload fatigue at PT. X. Research conducted inFebruary to June 2018 uses several data collection tools, namely: questionnaires,tensimeter, oximeter and smartwatch fitbit tool. Data analysis used mean difference testand chi square test. From the different test mean known that there is fatigue work on thedriver PT. X after driving. From chi square test obtained that there is relation betweenquantity of sleep, sleep quality, sleep hygiene and mileage with fatigue of driver of goodscargo at PT. X.
Kata kunci: Sleep hygiene, Kesehatan kerja, Pengemudi Truk
The driver is one of the complex jobs involving perception, sensorimotoric coordination as well requires vigilance and decision-making. Unnecessary working hours will affect the quantity of sleep and the quality of their sleep. The purpose of this study was to look at the effect of sleep hygiene on the quantity of sleep and the sleep quality of truckload drivers. A cross-sectional study design was used in this study using the Pittsburgh Sleep Quality Index (PSQI) questionnaire of 45 male drivers. It was found that 25 drivers (55,6%) got poor sleep hygiene score, with the number of drivers who experienced less sleeping quantity as many as 13 people (52%) and poor sleep quality as many as 14 people (56%). In conclusion sleep hygiene gives good influence on the quantity of sleep and sleep quality truck drivers at PT. X although in this study there is no significant relationship.
Key words: Sleep hygiene, Occupational Health, Truckload drivers
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)
Occupational stress is a condition in which one or several factors in the workplace interactwith workers, therefore it causes disturbance of the equilibrium both of physiological andpsychological matter. For a driver, occupational stress will impact on the decliningperformance that may threaten the safety while driving. Consequently, occupational stressbecomes one of the most processes which is being related to harmful behavior to driversthat may affect the risk of accidents.The aim of this study is to analyze factors affecting occupational stress on truckload driverof PT. X.This is a quantitative observational study with a cross-sectional method. Data instrumentsare utilizing questionnaire and few additional instruments (e.g. cocoro meter, fitbit,sphygmomanometer, and oximetry) to measure the factors of occupational stress as itssupporting data.The results show 27 respondents (60%) experiencing occupational stress in mild leveland 18 respondents (40%) experiencing occupational stress in moderate level. Accordingto individual factors in this study, there is a relation between the quantity and quality ofsleep with occupational stress on truckload drivers of PT. X (p <0.05). From the physicalfactors in this study, there is a relation between rest hours, monotonous work, mileage,and work fatigue with occupational stress on truckload drivers of PT. X (p <0.05).Otherwise, from psychosocial factors, those are family support and peer support, bivariateanalysis was not performed because the data is homogeneous.Keywords:Stress, Occupational Stress, Driver.
Work shift to be one solution to increase productivity. However, with the existence of this work shift, will cause various impacts one of them is the disruption of circadian rhythm which will cause decrease of quality and quantity of worker sleep, so that impact on worker fatigue. This study aims to see the correlation shift work, the quantity of sleep quality and fatigue risk factors to fatigue. The study used an observational approach with cross-sectional study design conducted on campus security guards universitas indonesia in the period may to june 2017 with a sample of 150 respondents. Used in this study are the industrial fatigue research committee (ifrc) and the sleep sleep quality index (psqi) questionnaires, as well as objective measurements of the quantity of sleep quality through the actigraph (fitbit blaze ) tool. The results showed that there was a correlation between sleep hygiene and sleep quantity of the workers of the ui campus security officer with p-value 0.044 and there was a correlation between work fatigue with sleep hygiene by showing p-value of 0.006
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.
Kata kunci:Kelelahan, Pengemudi, Petroleum Truck.
Driver fatigue is one of the main cause of road accident. This study aimed todetermine the correlation between petroleum truck driver fatigue with the risk factorsuch as age, BMI (body mass indeks), driving hours, working period, rest time,commuting time, work shift, and sleep hours of petroleum truck drivers. This studywas conducted in June 2016 at PT. X Depot TBBM Plumpang Jakarta. Total sampleof this study are 123 drivers. This research is based on quantitative observationalstudies using cross-sectional approach. Measurement of fatigue using subjectivesymptoms tes based on Industrial Fatigue Research Committe (IFRC). The resultsshow that 60,1% drivers experienced mild fatigue, while 39,1% drivers experiencedmedium fatigue. The result of chi-square calculation did not show any statisticallysignificant association between risk factor with driver fatigue, although otherstatistic test such as t-test and correlation test significantly show that driving hoursand working period show positive relation with the fatigue score.
Keywords:Fatigue, Driver, Petroleum Truck.
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
