MUSCULOSKELETAL DISORDERS WARNING SYSTEM PROTOTYPE DESIGN BY CONSIDERING DOMINANT RISK FACTORS IN CONSTRUCTION WORK
Construction work has a high risk of musculoskeletal disorders due to physical demands and high work variations, so it is necessary to develop various ergonomic interventions to reduce these risks. Musculoskeletal disorders are one of the company's performance measures in the management of o...
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Format: | Dissertations |
Language: | Indonesia |
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Online Access: | https://digilib.itb.ac.id/gdl/view/55592 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Construction work has a high risk of musculoskeletal disorders due to physical
demands and high work variations, so it is necessary to develop various ergonomic
interventions to reduce these risks. Musculoskeletal disorders are one of the
company's performance measures in the management of occupational health and
safety. Referring to Permenaker no 5/2018, every company must measure and
control all ergonomic risk factors. One of the main goals is to reduce the possibility
of musculoskeletal disorders in workers. Intervention development needs to
consider specific and significant risk factors associated with musculoskeletal
disorders to be effective. In previous studies, ergonomic interventions were
generally developed based on general risk factors based on the results of ergonomic
rapid evaluation methods, such as rapid upper limb assessment (RULA) and rapid
entire body assessment (REBA) methods. As a result, the resulting interventions are
general and less effective. Based on this, the general objective of this research is to
identify specific risk factors related to musculoskeletal disorders in construction
work and then design a prototype of ergonomic intervention based on these risk
factors.
The first stage of this research is to identify risk factors through meta-analysis. The
purpose of this meta-analysis is to synthesize the results of previous studies to
obtain alternative significant risk factors associated with musculoskeletal disorders.
In addition, the meta-analysis method can compare the level of significance of risk
factors from various previous studies (either specifically for construction work or
similar work). The meta-analysis was carried out by in-depth analysis of various
related articles obtained through six search engines (Science Direct, Scopus, IEEE,
MEDLINE/Pubmed, Web of Science, Taylor and Francis Online) from 1999 to
2018.
The meta-analysis results showed that musculoskeletal symptoms in construction
work were associated with individual risk factors (age, body mass index, work
experience, physical fitness), physical risk factors (high physical workload, poor
working position, lifting heavy objects, vibration), and psychosocial risk factors
(psychological workload). The analysis of specific musculoskeletal symptoms
showed that 1) significant neck complaints were associated with low job vi
satisfaction, 2) significant back complaints related to body rotating position, 3)
shoulder and hand complaints were significantly related to age, gender, lifting
heavy objects, gripping tools. /small materials, repetitive motions/work, lifting
arms above the shoulders, rotating body position, psychological workload, and low
job satisfaction, and 4) complaints on thighs and legs are significantly associated
with low job satisfaction.
The next research stage is a questionnaire survey on construction workers in highrise building projects. The survey aims to identify significant risk indicators related
to musculoskeletal disorders in construction workers. Total respondents from the
three projects involved were 235 people. The survey instrument was developed from
the risk factors obtained based on the meta-analysis results and derived in more
detail into various risk indicators. Based on logistic regression calculations, it is
known that several significant risk indicators are associated with musculoskeletal
symptoms. The indicators are frequency of working in a stooped position, length of
work with wrists bent up/down and sideways, duration of lifting arms above
shoulders, frequency of moving heavy objects, discomfort with exposure to
vibration, working fast, doing a lot of work, and conflicting demands. The survey
results show that workers in the lower back mostly feel the prevalence of
musculoskeletal complaints during the last 12 months. It was also found that the
frequency of working in a stooped position, the duration of raising the arms above
the shoulders, and the frequency of repetitive hand movements were associated with
lower back complaints. Physical risk indicators related to low back complaints are
the basis for developing ergonomics interventions.
The third research stage is the development of an ergonomic intervention prototype
design. The aim is to obtain a prototype design of an ergonomic intervention that
can reduce the possibility of musculoskeletal disorders in construction work. The
ergonomic intervention prototype method developed is a system that can warn if
the movement of the back, upper arms, and forearms exceeds the predetermined
risk limit. Testing the validity and reliability of the angle measurement results was
carried out through a laboratory study involving five participants who simulated
manual lifting of the material. Participants lifted weights in three height positions
that caused the back to bend, and two positions raised the upper and lower arms.
In addition to the altitude position, which is the reference for the movement, the
participants' movements' tempo is also controlled at a speed of 60 beats per minute
(bpm) for ten seconds. The level of validity is tested by comparing the results of
angle measurements generated by the application and the motion capture system.
The application and motion capture system operate at a frequency of 50 Hz, which
means it operates 50 data per second. This application was developed by utilizing
a combination of accelerometer, gyroscope, and magnetometer sensors on mobile
phones. The motion capture system used as the gold standard is the Vicon Nexus
2.5, which has ten cameras and software to process body angles based on markers
placed on participants' body points. The test results show that the application on
the system is valid and reliable and can be further developed for other interactive
and ongoing physical risk assessments.
this study succeeded in mapping various measurable indicators of individual,
physical, psychosocial, and occupational risk factors related to multiple
musculoskeletal symptoms in construction work. In addition, based on indicators
related to complaints in the lower back, a prototype of an ergonomic intervention
in the form of a risk warning system was obtained. It is hoped that the developed
system can reduce the exposure of risk indicators to complaints on the lower back
of construction work in the field.
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