High Risk Posture on Motor-Manual Short Wood Logging System in Acacia mangium Plantation

Motor-manual logging has been considered as the most dominant logging system in Java Island, Indonesia. The system-which consisted of felling, delimbing, bucking, hauling, and transporting activities- involves a combination of stress factors e.q. difficult work postures, generation of force, and lif...

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Bibliographic Details
Main Authors: Efi Yuliati Yovi, Widya Prajawati
Format: Article
Language:English
Published: Bogor Agricultural University 2015-06-01
Series:Jurnal Manajemen Hutan Tropika
Subjects:
Online Access:https://ilkom.journal.ipb.ac.id/index.php/jmht/article/view/9492
Description
Summary:Motor-manual logging has been considered as the most dominant logging system in Java Island, Indonesia. The system-which consisted of felling, delimbing, bucking, hauling, and transporting activities- involves a combination of stress factors e.q. difficult work postures, generation of force, and lifting techniques. In the other hand, combination of the three is well associated with high risk of work-related musculoskeletal injuries (MSIs), including musculoskeletal disorders. This research aimed to assess difficult work posture on felling, delimbing, bucking, and manually short wood hauling by employing rapid entire body assessment (REBA) technique and muscular pain scoring based on the worker's perceive. It was revealed that felling and manual hauling were scored 4 in the REBA action level, indicated very high MSIs risk level, and categorized as “necessary now” for an injury risk preventive action. The workers' pain scoring indicated that low back (spine in general) disorders resulting in low back pain has been considered to be the one of the leading safety issues in the felling and manual hauling. Regardless to complex mechanism of how the personal risk and environmental factors associated with manual material handling injuries, job-related factors approach should be underlined in the MSIs prevention initiative in motor-manual logging.
ISSN:2087-0469
2089-2063