Introduction: occupational accidents are caused by ignorance of occupational health and safety recommendations, due to the high rate of accidents in the industry of cutting and extracting wood from the forest, this study is necessary to evaluate job satisfaction. Materials and Methods: In this research, job satisfaction was used as a dependent variable and independent variables included age, educational and employment status, type of work, and duration of employment. To determine the conditions of excessive fatigue among forest workers, the index of symptoms of excessive fatigue was used. The number of 100 workers was investigated by a questionnaire, the comparison of independent variables affecting the satisfaction or dissatisfaction of workers with work using discriminant analysis and the Wilks Lambda coefficient, and the comparison of the average opinions of people from different work groups regarding the work situation using Friedman's test was performed. Results: The four variables of duration of employment, age status of workers, employment status, and type of work are suitable for separating two groups satisfied with work and dissatisfied with work. The assessment of complaint rate showed that questions I take care of my family, I am very worried about my health and I am dissatisfied with many things with the highest rates of 84.66%, 70.66%, and 61.33% respectively. They took the complaint to themselves. The results showed that the highest amount of fatigue accumulation index is related to two groups chronic fatigue and general fatigue. The results of the present study show that 47% of forest workers are illiterate in their educational status, which requires a training course for workers to work with cutting tools and machines. The results showed that 41 percent of the people studied liked their jobs. Conclusion: Personal protective equipment is considered a work tool without which it is impossible to do the desired job. Training classes should be held periodically by the safety department for workers and supervisors when needed.
Read full abstract