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Driving requires high concentration for quick and accurate coordination between eyes, hands, feet and brain; therefore, driving is a job with high risk to experience exhaustion and other health disorders. The aim of this research is to illustrate the effects Musculoskeletal Symptoms (MSS) on drivers, their specific factors, as well as environmental factors towards 41 light vehicles professional drivers in 2020. This research is also a measure of risk levels of posture with REBA method on light vehicle drivers of toyota hiace at PT ACD Indonesia. The research method used is descriptive, qualitative, and observational with quantitative approach which applied to team SMO transportation at PT ACD Indonesia, especially in district of Duri. With this method, the researcher wants to get images of muscles and bones complaints also to figure ergonomic risk level using REBA method. Employee data is analyzed based on age, driving experiences, IMT, workout habit, smoking habits, driving duration, period of employment, work posture, physical and non- physical factors. The results of this research is drivers within the age group of 24-34 years old and period of employment less than 10 years never experience injuries and musculoskeletal complaints. Work pattern 5:2 with driving durations of 3 hours or more work responsibilities show 100% respondents experience musculoskeletal complaints on some of their body parts such as necks, backs, and calves. Drivers who of heights of 161 to 170 cm experience some complaints on their necks. Meanwhile those who work out a minimum three times a week for a minimum of 30 minutes per day dominantly experience musculoskeletal complaints on necks, the bottom of their backs, buttocks/thighs and calves. Based on this study, it is concluded that driving demands with high concentration can cause muscles constraints on their body parts, this can be seen on 90.2% respondents who experience musculoskeletal complaints on their body parts, meanwhile 9.8% do not experience any complaints, with 51.2% experience complaints on necks, 51.2% on the bottom of the backs, 56.1% on buttocks/thighs and 61.0% on calves. whereas, the biggest ergonomic risk level using REBA method while driving is when one has to turn steering wheel and also the dominant posture.
This thesis contains the relationship of risk factors for manual material handling (MMH) with complaints of subjective musculoskeletal symptoms (MSS) to workers in the Department of Textile Chemical Production of PT. X in 2020. In this study, observation of manual risk handling (MMH) risk factors is using questionnaires and the Quick Exposure Checklist (QEC) method. Besides, to find out complaints about musculoskeletal symptoms (MSS) researcher used the Nordic Body Map (NBM) Questionnaire. The study design is a cross-sectional study with an observational approach. The analysis used in this study is univariate and bivariate analysis. Univariate analysis is used to provide an overview of each risk factor for manual material handling. While bivariate analysis is used to see the relationship between individual risk factors (age, years of service, body mass index, exercise habits, and stress) and work risk factors (object weight, work duration, and work posture) with musculoskeletal symptoms (MSS) complaints that felt by workers in the Textile Chemical Production Department of PT. X in 2020. The results of this study found that there is a relationship between body mass index (BMI) with complaints of musculoskeletal symptoms (MSS) felt by workers (pvalue = 0.040). In addition, there is a relationship between work stress and musculoskeletal symptoms (MSS) complaints felt by workers (p-value = 0.044).