Femiliani Novita Sari
Program Studi Teknologi Hasil Perikanan, Universitas Muhammadiyah Mamuju

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Model Pengelolaan Mangrove Terintegrasi Berbasis Sistem informasi Geografis (SIG) untuk Mitigasi Bencana Pesisir Abrasi di Provinsi Sulawesi Barat Binayanti; Femiliani Novita Sari; Kamaruddin
Jurnal Ilmu Pendidikan dan Sains Islam Interdisipliner Vol. 5 No. 4 November 2026: Jurnal Ilmu Pendidikan dan Sains Islam Interdisipliner
Publisher : Yayasan Azhar Amanaa Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59944/jipsi.v5i4.1872

Abstract

The objectives of this study are as follows: To analyze the condition of mangrove ecosystems in the coastal areas of West Sulawesi. To identify the role of mangroves in coastal disaster mitigation and environmental resilience enhancement. To develop a GIS-based mangrove management zoning model. The method used a geographic information system to map conservation zones, rehabilitation zones, utilization zones, and buffer zones in four districts in West Sulawesi Province. The results of the study showed that the mangrove ecosystems on the coast of West Sulawesi were generally in the vulnerable to degraded category. This is reflected in the large area of buffer zones and rehabilitation zones compared to the relatively small conservation zones in each district, which only range from 25.31 to 378.23 hectares. West Sulawesi Province is an area with a high level of disaster vulnerability, characterized by a high risk of coastal abrasion, tidal flooding, and tsunamis. The existence of mangrove ecosystems has been proven to play an important role in reducing the impact of disasters through their physical, ecological, and hydrological functions. The condition of mangroves in several districts in West Sulawesi shows varying levels of damage and utilization. Geographic Information System (GIS)-based zoning divides the area into four categories: conservation, rehabilitation, buffer, and utilization. Polman is relatively better because its conservation area is quite extensive, Majene is the most vulnerable due to its very narrow area, while Mamuju and Central Mamuju are vulnerable to degradation.