Occupational safety and health risk management in watershed rehabilitation supervision in Southeast Sulawesi

Background: Watershed rehabilitation is essential for restoring degraded ecosystems, improving water quality, and increasing biodiversity. However, supervision of watershed rehabilitation activities has potential hazards for the health and safety of workers, so it needs attention. This study aims to conduct hazard identification, risk assessment and evaluation, and risk control efforts in watershed rehabilitation supervision activities in Southeast Sulawesi. Method: This study uses an observational description approach. This type of research is quantitative descriptive. This activity was carried out from December 2024 to February 2025 in several villages in North Kolaka Regency and one in Bombana Regency, Southeast Sulawesi. K3 risk assessment uses a semi-quantitative approach. Results: Based on the study's results, watershed rehabilitation supervision activities have various potential hazards with varying levels of risk. Poor road accessibility is the highest risk, requiring comprehensive control measures. Meanwhile, the risk of ineffective communication is considered low, but it still requires attention to maintain good relationships. Exposure to extreme weather and the threat of wild animals presents a moderate risk, emphasizing the importance of preventive measures such as providing protective equipment and education. This study highlights the need to effectively implement Occupational Safety and Health to protect workers during watershed rehabilitation supervision activities. Periodic evaluations are needed to ensure the effectiveness of implementation and make continuous improvements.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-31
DOI
https://doi.org/10.5281/zenodo.17291320
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
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article

Occupational safety and health risk management in watershed rehabilitation supervision in Southeast Sulawesi

Zenodo (CERN European Organization for Nuclear Research)
Single-cell and spatial transcriptomics
article

Occupational safety and health risk management in watershed rehabilitation supervision in Southeast Sulawesi

article en

Abstract

Background: Watershed rehabilitation is essential for restoring degraded ecosystems, improving water quality, and increasing biodiversity. However, supervision of watershed rehabilitation activities has potential hazards for the health and safety of workers, so it needs attention. This study aims to conduct hazard identification, risk assessment and evaluation, and risk control efforts in watershed rehabilitation supervision activities in Southeast Sulawesi. Method: This study uses an observational description approach. This type of research is quantitative descriptive. This activity was carried out from December 2024 to February 2025 in several villages in North Kolaka Regency and one in Bombana Regency, Southeast Sulawesi. K3 risk assessment uses a semi-quantitative approach. Results: Based on the study's results, watershed rehabilitation supervision activities have various potential hazards with varying levels of risk. Poor road accessibility is the highest risk, requiring comprehensive control measures. Meanwhile, the risk of ineffective communication is considered low, but it still requires attention to maintain good relationships. Exposure to extreme weather and the threat of wild animals presents a moderate risk, emphasizing the importance of preventive measures such as providing protective equipment and education. This study highlights the need to effectively implement Occupational Safety and Health to protect workers during watershed rehabilitation supervision activities. Periodic evaluations are needed to ensure the effectiveness of implementation and make continuous improvements.

Zenodo (CERN European Organization for Nuclear Research)
Universitas Halu Oleo (ID), Hasanuddin University (ID)
Clean water and sanitation
Openalex Percentile: Top 46%
Single-cell and spatial transcriptomics
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