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In Indonesia in 2020 there were 177,000 cases of work accidents where the transportation sector contributed 9.3%. Work accidents can occur because of an unsafe work environment and unsafe behavior that comes from humans. One way to approach safety that can be used and focuses on the human factor is through a safety climate. Regarding the work safety climate at PT. XYZ, there has never been a work safety climate measurement. And this study aims to analyze the work safety climate at PT.XYZ. The measurement of the work safety climate in this study was carried out using the NOSACQ-50 method approach. Where the instrument in this study using the NOSACQ-50 questionnaire. And after processing the data, the results of the work safety climate level at PT. XYZ are with a score of 3.03, which means it is in the good category
Kata kunci : aktivitas tambang; evaluasi risiko; kesehatan; keselamatan.
Focus for this study was Occupational Health and Safety risk assessment andevaluation on mining activity in PT Arutmin Indonesia Site Asam Asam SouthKalimantan 2013. This study was analytical-descriptive using observationalapproach. This study used Job Hazard Analysis for hazard and risk identification,used semi-quantitative technique which refer to AS/NZS 4360 for assess and evaluaterisks. Risk is determined by multiplication of consequences, probability, andexposure score. The result of this study showed that mining activity in PT ArutminIndonesia Site Asam Asam has 99 occupational health and safety risks.
Key words : health; mining activity; risk evaluation; safety
Coal mining industry is an industry with high risks of occupational healthand safety. Hence, it is considered important to conduct a risk assessment andevaluation on occupational health and safety in a coal mining industry. Theexpected result of the assessment and evaluation is an improvement of significantefforts in decreasing occupational accident and illness rate, and also fatality rate incoal mining activities.Focus of this study was OHS risk assessment and evaluation on miningactivity in PT. Adaro Indonesia Site Tanjung Tabalong South Kalimantan in 2013.This study was analytical descriptive using observational approach. This studyused Job Hazard Analysis for hazard and risk identification, and semi-quantitativerisk assessment method by multiplication of consequences, probability, andexposure score. The result of this study showed that mining activity in PT. AdaroIndonesia Site Tanjung Tabalong has 182 OHS risks.Key words: risk, coal, mining activities.
This study aims to determine and examine the relationship and influence of the Psychosocial Safety Climate on the incidence of workplace bullying at PT WID (a power generation company) involving six power plant work areas throughout Indonesia. Method: This was a cross-sectional study involving 100 workers in the power plant industry who were above 17 years of age and with a work experience of at least 6 months. These workers participated in this study by filling out the Psychosocial Safety Climate (PSC 12) to measure the level of psychosocial safety climate and Negative Acts Questionnaire-Revised (NAQ-R) to determine the incidence of bullying in companies Results: The results of the analysis show that the Psychosocial Safety Climate has a significant effect on the incidence of bullying in the workplace in the company, with a negative relationship direction and moderate strength(p-sig=0,003; r=0,292; ß=-0,257). In addition, the results of multiple linear regressions show that Management Commitment has a significant effect (p-sig = 0.013) on the decrease in bullying levels in the workplace, compared to Management Priority, Organizational Participation and Organizational Communication. Conclusion: This shows that if there is an increase in one level of Psychosocial Safety Climate, there will be a decrease in bullying actions by 0.257. Where management commitment is the variable that has the most dominant influence on reducing the level of bullying in the workplace
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.
Safety culture has been defined by the Advisory Committee on Safety in Nuclear Installations (ACSNI,1993) as the product of individual and group values, attitudes and beliefs, competencies and patterns of behaviour that determine the commitment to, and the style and proficiency of, an organisation’s health and safety management (HSE, 2005) . While, safety climate is workers' perceptions and perspectives on policies, procedures, and work practices related to safety carried out by management (Ismail, 2015) . Safety climate is often used to describe the more ‘tangible’ outputs of an organisation’s safety culture (Health and Safety Executive (HSE), Offshore Safety Division of the HSE, 2010) . Safety climate analysis through surveys can be used to identify relationships between important dimensions of safety in an organization and how it can contribute to the overall results of safety culture (M.D. Cooper, 2000) . This research was conducted at an oil company called PT. ABC. Occupational accident data of PT. ABC in all production areas (2014-2019) concluded that 71% of accidents occur due to Unsafe act (immediate cause), and 49% due to Human Factor (root cause). In this research, the author will analyze the application of safety climate in offshore production areas. The results of observations show that there are differences in the application of safety climate aspects among workers based on shift schedule, position, status of workers, duration of work in offshore, and work experience. These data are the focus of the author to be used as research material in analyzing safety climate. The research conducted is mixed methods research in which some data will be assessed quantitatively and some will be assessed qualitatively. The results of the study were analyzed descriptively with in-depth analysis. The tool used to analyze aspects of the safety climate is the "Offshore Safety Climate Assessment Toolkit" developed by Loughborough University which divides workers' perceptions into three types, namely perception as individuals, perceptions as work units, and perceptions as company members. This method uses a questionnaire media that involves 95 respondents (the entire population) and interviews with several of the company's safety responsibility stakeholders as targets. From the safety climate analysis results obtained 8,16 values, where this can be interpreted that the workers' perceptions of safety values are well internalized within workers both as individuals, as work units and as members of the company. Statistical calculations concluded that there were no significant differences in the application of work safety climate between 18 workers with a rhythm schedule of 2 weeks on / off, and 2 weeks on-1 week off (p (0,263)> 0.05) , workers with staff and non-staff positions (p (0,794)> 0.05), workers with indefinite time employment agreements and workers with certain time work agreements (p (0,881)> 0.05), workers with short term offshore employment and long term workers (p (0,953)> 0.05), and young / fresh graduate and experienced / experienced workers (p (0,065)> 0.05). There were significant differences in the application of work safety climate between workers with a rhythm schedule of 3 weeks on / off, and 2 weeks on-1 week off (p (0,000)< 0.05) and between workers with a rhythm schedule of 3 weeks on / off, and 2 weeks on/ off (p (0,003)< 0.05)
