Model of collaborative for forest and land fire prevention and management in Ogan Komering Ilir regency South Sumatra Province Indonesia

Achmad Rizwan (), Yoyok Hendarso (), Ardian Saptawan () and Nurhayati Damiri ()

International Journal of Innovative Research and Scientific Studies, 2025, vol. 8, issue 5, 536-543

Abstract: Forest and land fires are recurring environmental problems in Indonesia, especially in areas with peatland ecosystems such as Ogan Komering Ilir (OKI) Regency, South Sumatra. Although prevention efforts have been made, limited resources in terms of personnel, equipment, and early monitoring systems remain obstacles in managing forest and land fires. Therefore, a collaborative model involving various stakeholders such as local governments, communities, plantation companies, academics, and environmental organizations is necessary to improve the effectiveness of fire prevention and response. This study employs a qualitative method, focusing on an in-depth understanding of forest and land fire prevention strategies through collaboration among five sectors within the Penta Helix model, using the Ansel & Gash approach as an analytical framework. The findings indicate that forest and land fires constitute a serious environmental issue requiring cooperation among government, industry, communities, academics, and the media. The primary challenges in fire mitigation include weak law enforcement, lack of trust among actors, and unsustainable land clearing practices. The main strategy is based on regulatory and bureaucratic approaches, with the government acting as policy coordinator, industry as the technical implementer, academics as research providers, the media as shapers of public opinion, and the community as the primary actor at the local level. The success of mitigation efforts depends on cross-sector coordination, raising awareness, implementing monitoring technologies, and adopting community-based approaches to ensure the sustainability of forest and land fire prevention.

Keywords: Collaboration models; Forest and land fires; Prevention and Management of Forest and Land Fires. (search for similar items in EconPapers)
Date: 2025
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