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Mining industry has a wide range of activities and work stages which involve mining workers, starting from general investigations, explorations, to reclamation. It is considered as one of the industries with a high-level risk. Mining workers are synonymous with shift and roster work patterns, and physical work that requires strength, flexibility and endurance of sustained muscles that contribute to fatigue. Generally, fatigue is defined as a state of weariness due to prolonged wakefulness, long work periods, and is characterized by decreased alertness, impaired decision making, and reduced capacity for neurobehavioral performance (Akerstedt, 1995; Dinges, 1995). The purpose of this study is to determine the average alertness score of exploration drilling service workers in coal mines which is influenced by the level of fatigue of workers calculated based on the quality and quantity of sleep using the SAFTE Fatigue Model. This research is a quantitative descriptive cross-sectional design, from June to August 2019. The results state that the majority of respondents have an alertness score in the reduced category (66.67%). The cross variable distribution shows that the lowest proportion of alertness is in the age group of 31-40 years (50.00%), moderate sleep quality (70.00%) and quantity of sleep poor (33.33%). There are differences in alertness scores between morning shift and night shift respondents, and that is the night shift has lower average alertness scores than morning shift respondents. The recommendations of this study are to improve sleep hygiene by providing health education, ensuring optimal room temperature and adequate exposure to natural lighting, and minimizing the exposure to noise and gadgets..
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: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.
