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Occupational Safety and Health Management System is a system used to manage Occupational Safety and Health. The purpose of implementing OHSMS is to create a work environment that is free from harm or illness due to work. However, along with the development of OHS, it is not accompanied by an increase in OHS performance. It can be seen from several studies that show that there is no difference in OHS performance between certified and non-OHS certified companies. Many factors affect the effectiveness of OHSMS implementation. The purpose of this study is to investigate factors influence the effectiveness of the implementation of OHSMS through a systematical Literature Review. The study was conducted with 4 search portals namely Scopus, Proquest, Science Direct and Sage. Articles published between 2010-2020. From the literature search results there are 40 articles that meet the criteria. Research results indicate that there are internal and external factors that affect the effectiveness of the implementation of OHSMS. . Internal factors that influence the effectiveness of OHSMS implementation are management commitment, OHS leadership and policies, employee participation, OHS culture, employee morale, sufficient resources, financial performance, OHS cost allocation, company size, internal incentives, worker safety behavior, communication and consultation OHS, OHS rules and procedures, OHS promotion, integration, continuous improvement, the process of identifying hazards and risk reduction, developing and implementing OHS risk control strategiesAnd external factors are enforcement of OSH regulations, OSH support and authority, external audit certification, external incentives, pressure from customers, market competition, company image, international trends
X construction project workers have relatively high work hazards and risks, particularly while working under the COVID-19 pandemic situation. As construction projects must go on, the workers likely have a higher risk of the COVID-19 exposure. When some workers directly or indirectly are exposed to the COVID-19, their jobs are taken over by co-workers. This case results in fatigue for construction workers. Work fatigue is one of the causes of occupational accidents as the fatigue reduces their focus, decision-making abilities, muscle strength, communication skills, productivity, alertness, physical and psychological performance and work motivation. This study aimed to determine the impact of the COVID-19 pandemic on fatigue in PT. X workers. This study applied an observational analytic method with a cross-sectional study design. Samples were taken from the total population of foundry workers in construction projects as many as 100 workers. *Multidimensional Fatigue Inventory Questionnaire*. Data analysis with a quantitative approach used univariate and bivariate analysis. Based on the results of the Pearson correlation analysis with a significant level of p < 0.05, variables that had a relationship with fatigue variable were age (p = 0.048), sleep time (p = 0.040), comorbid (p=0.004) and the COVID-19 pandemic (p=0.001)
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.
