Relationship Between Working Posture and Musculoskeletal Disorders Based on REBA and Nordic Body Map Analysis in Peanut Farmers

This research was conducted on peanut farmers in Manggung Hamlet, Tileng Village, Girisubo District, Gunungkidul Regency, Yogyakarta. Based on the results of observations, it can be seen that when harvesting peanuts, farmers were found in a bent and squatting position. In this position, farmers experience pain in the neck, back and knees when working. This study aims to determine the relationship between farmers' working posture and the level of Musculoskeletal Disorders (MSDs) complaints. The risk level of working postures is assessed using the Rapid Entire Body Assessment REBA method. The number of respondents in this study was 50 peanut farmers. The research results showed that assessment of working posture of peanut farmers using the REBA method, which obtained a score of 13, can be concluded from the total score in the high risk category where immediate action is needed to improve work posture. The frequency based on working posture shows that farmers who have a high-risk working posture are 21 respondents with a percentage (42%), and farmers who have a very high-risk working posture are 29 respondents with a percentage (58%). There is a relationship between the working posture of peanut farmers and the musculoskeletal disorders when they are working with a p-value of 0.034 (significant relationship).

Authors

Publication Details

Journal
Journal of Engineering Technology and Applied Science (JETAS)
Published
2025-04-24
DOI
https://doi.org/10.36079/lamintang.jetas-0701.786
Primary Topic
Agriculture and Farm Safety
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Relationship Between Working Posture and Musculoskeletal Disorders Based on REBA and Nordic Body Map Analysis in Peanut Farmers

Tri Budiyanto, Maulana Yusuf, Angga Maulana Sandra
Journal of Engineering Technology and Applied Science (JETAS)
Agriculture and Farm Safety
article

Relationship Between Working Posture and Musculoskeletal Disorders Based on REBA and Nordic Body Map Analysis in Peanut Farmers

Tri Budiyanto, Maulana Yusuf, Angga Maulana Sandra
article en

Abstract

This research was conducted on peanut farmers in Manggung Hamlet, Tileng Village, Girisubo District, Gunungkidul Regency, Yogyakarta. Based on the results of observations, it can be seen that when harvesting peanuts, farmers were found in a bent and squatting position. In this position, farmers experience pain in the neck, back and knees when working. This study aims to determine the relationship between farmers' working posture and the level of Musculoskeletal Disorders (MSDs) complaints. The risk level of working postures is assessed using the Rapid Entire Body Assessment REBA method. The number of respondents in this study was 50 peanut farmers. The research results showed that assessment of working posture of peanut farmers using the REBA method, which obtained a score of 13, can be concluded from the total score in the high risk category where immediate action is needed to improve work posture. The frequency based on working posture shows that farmers who have a high-risk working posture are 21 respondents with a percentage (42%), and farmers who have a very high-risk working posture are 29 respondents with a percentage (58%). There is a relationship between the working posture of peanut farmers and the musculoskeletal disorders when they are working with a p-value of 0.034 (significant relationship).

Journal of Engineering Technology and Applied Science (JETAS)Vol. 7(1)
Openalex Percentile: Top 94%
Agriculture and Farm Safety
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.