Risk of Musculoskeletal Disorder in the Working Posture of Online Motorcycle Drivers (Case Study: Drivers at Malang District)

Abstract

Variations in the dimensions of each type of motorcycle and variations in the anthropometry of the rider's body often cause complaints of discomfort in the body which can eventually lead to musculoskeletal disorders. The purpose of this study is to determine the value of the driver's body point complaints using Nordic body maps, determine the improvement of body posture in terms of the risk level of the driver's musculoskeletal disorders using the integration of rapid upper limb assessment and rapid whole body assessment. The research methodology uses a sample of 30 respondents, with 3 types of motorcycles. Stages of data analysis using Nordic body maps, RULA, REBA and Body Mass Index. The results of the study stated that there were 7 points of complaints of musculoskeletal disorders with the role of repetitive static activities. The working posture condition of the integration of RULA and REBA is stated that there is an improvement in body posture in the dimensions of RULA and REBA with the achievement of the need for the role of changing the dimensions of the motorcycle seat and handlebar as a development to suppress the occurrence of musculoskeletal disorders.

Myotonometry in machinery operators and its relationship with postural ergonomic risk

“…In other similar jobs, such as traffic control for vehicles, the Rapid Entire Body Assessment (REBA) method has been employed to identify risky postures that require ergonomic intervention ( Elias et al 2022 ). These studies have linked the presence of painful points with the use of forced postures ( Hutabarat et al 2022 ) and assessed ergonomic risks in industrial supply centers ( Kirci et al 2020 ). However, both in research and in practice, most of the instruments used are based on observation and/or questionnaires that rely on the perception of the workers themselves ( Abaraogu et al 2016 ; Samaei et al 2017 ) and the characterization of individuals according to demographic data and working conditions, among which, for example, some studies have associated a lower risk in the development of tasks for workers with older levels of education and more work experience ( Mahboobi et al 2020 ).…”