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Kata kunci: Sindrom metabolik, kesehatan kerja, pekerja tambang.
The mining industry applies a work shift system to increase its productivity. One of the unavoidable issue of shift work is fatigue. Fatigue is a subjective feeling of mental and physical activity that leads to decreased concentration, alertness, increased errors and accidents. The purpose of this study is to analyze fatigue on mining operators at PT Harmoni Panca Utama and PT Hasta Panca Mandiri Utama in 2021. This research is quantitative using secondary data from Dr. Hendra S.K.M., M.K.K.K. with a cross sectional approach. The sample in this study are 101 respondents. Research variables include fatigue and risk factors consisting of work-related factors (work period, work shifts, work stress levels, cabin environment) and non-work-related factors (age, nutritional status, health status, place of residence, sleep quantity and quality). Several variables in this study were measured using standard instruments, such as Cheklist Individual Strength-20 Questionnaire to measure fatigue, the Pittsburgh Sleep Quality Index (PSQI) Questionnaire to measure sleep quantity and quality, and Perceived Stress Scale (PSS) Questionnaire to measure work stress levels. Analysis of the relationship between fatigue risk factors and operator fatigue using the chi-square test. The analysis of the dominant risk factors associated with fatigue is obtained through multiple logistic regression tests. The results of the analysis showed that 13.9% of operators experienced fatigue. The only risk factors associated with operator fatigue were work-related factors, namely work shifts (p=0.01; OR=7.38; 95% CI: 1.55-7.38) and work stress levels (p= 0.02; OR=10.08; 95% CI: 1.26-80.5). The dominant factor related to fatigue is the level of work stress. Operators who have moderate-to-severe stress have 8.7 times the risk of experiencing fatigue compared to operators who have low stress levels. Suggestions for companies include conducting fatigue awareness training for workers, increasing stress management programs, and supervising night shift workers. Workers are expected to take a nap before working on the night shift and do relaxation, stretching, and recreation in their spare time or holiday
Underground uranium mines pose physical hazards in the form of exposure to gamma radiation, radon gas and thoron. Uranium mine workers are at risk of getting lung cancer 3 to 6 times higher than the general public. To anticipate and control the risk from these exposures, a health risk assessment was carried out from the exposure to gamma, radon and thoron radiation in underground uranium mine workers. Measurements of gamma ray exposure and radon gas concentrations were carried out in the uranium exploration mine and around the workers' camp in the Kalan area, West Kalimantan. Gamma-ray measurements were carried out by gamma detector, while radon and thoron exposure were measured using a passive detector RADUET. As a result, the concentration of radon gas in the tunnel ranged from 188.84 to 495.86 Bq/m 3 (average 375.80 Bq/m 3 ) while thoron ranged from 58.07 to 340.73 Bq/m 3 (average 189.80 Bq/m 3 ). This value exceeds the reference level for the radon recommended by ICRP 300 Bq/m 3 . For annual effective dose of gamma rays, an estimated annual effective dose of 85.18 mSv was obtained in one group of workers. This value exceeds the annual dose limit value of 20 mSv for workers. From the results of the risk assessment, a risk value of C is obtained, which means that the risk cannot be accepted, and additional control measures are needed. Workers are exposed to chronic doses of radiation and can be exposed to stochastic effects that can induce cancer.
Accidents related to traffic and incidents related to vehicles are the main causes of accidents in mining areas. One of the causes is fatigue on mining truck operators. This study was conducted to describe subjective fatigue and analyze risk factors related to subjective fatigue in coal mining vehicle operators in mining and hauling area of PT Adaro Indonesia. The risk factors studied included non-work-related risk factors (age, nutritional status (BMI), neck circumference, health complaints, sleep quantity, and sleep quality) and work-related risk factors (work area, length of work, shift work, commuting time, and work environment, especially temperature, noise, vibration, and lighting). The study was conducted from February to July 2022. The data used in this study came from a questionnaire distributed online, which included a questionnaire on individual and job characteristics, the Fatigue Assessment Scale (FAS), and the Pittsburgh Sleep Quality Index (PSQI). Data were analyzed using descriptive analysis and inferential analysis with chi-square test and multiple logistic regression test for prediction models. The minimum sample size in this study was 436 operators, but the data that were successfully analyzed were 440 respondents. The results showed that as many as 130 operators (29.5%) experienced subjective fatigue. The results of inferential statistical analysis using the chi-square test showed that there was a significant relationship between risk factors not related to work, namely nutritional status (fat and obesity BMI), health complaints, and sleep quality on subjective fatigue in operators. The results of inferential statistical analysis also show that there is a significant relationship between work-related risk factors, namely working period, temperature, noise, vibration, and lighting, and subjective fatigue on operators. Meanwhile, the results of inferential analysis using multiple logistic regression test predictive models indicate that sleep quality is the most dominant variable associated with subjective fatigue in operators.
