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INDONESIA
Jurnal Wasian
Published by Universitas Muhammadiyah Makassar
ISSN : 23559969     EISSN : 25025198     DOI : doi.org/10.62142
Core Subject : Science, Education, Social,
Earth & Planetary Sciences Environmental Science Physics Other
The Wasian Journal dedicates itself to advancing scientific research that significantly contributes to the conservation of natural resources and the sustainable transformation of landscapes. Our goal is to support the long-term ecological balance and resilience of forests and land. We are committed to publishing cutting-edge research that is innovative and open to rigorous scholarly debate, maintaining the highest standards of quality.
Arjuna Subject : Ilmu Pertanian dan Biologi (Semua) - Kehutanan
Articles 5 Documents
 1 
Search results for , issue "Vol. 12 No. 02 (2025): December" : 5 Documents clear
When Strong Institutions Meet Weak Economies: Lessons from Ecotourism Sustainability in Lombuyan Wildlife Sanctuary, Central Sulawesi Lalu, Andika; Ramlah, Sitti; Reinaldi, Reinaldi; lalu, andika lalu
Jurnal Wasian Vol. 12 No. 02 (2025): December
Publisher : Forestry Department, University of Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62142/tx2yq047

Abstract

Ecotourism in conservation areas has significant potential to enhance local livelihoods while supporting ecosystem protection. Sustainability, however, strongly depends on institutional capacity. This study assesses the sustainability status of ecotourism in the Lombuyan Wildlife Sanctuary (KSM Lombuyan), Banggai Regency, Central Sulawesi, by integrating ecological, economic, social, and institutional dimensions using the Rap_Ecotourism method, a multidisciplinary rapid appraisal adapted from the Multidimensional Scaling (MDS) approach. Data were collected from October to December 2024 through interviews, ground checks, observations and documentation. The analysis results indicate that the overall sustainability index of the Lombuyan ecotourism area is 63.89%, classified as moderately sustainable. Among the four dimensions: the institutional dimension achieved the highest index (82.37%), followed by the social dimension (80.09%), while the ecological (55.18%) and economic (33.13%) dimensions were relatively lower. The results highlight that the traditional institution Pololuanto Lombuyan plays a crucial role in maintaining governance, enforcing local rules and facilitating collaboration between the community and the Central Sulawesi Natural Resources Conservation Agency (BKSDA). This strong institutional framework compensates for economic limitations and supports ecological rehabilitation, particularly through community-led land restoration and monitoring. Our findings reveal that the sustainability of the Lombuyan ecotourism area is strongly influenced by resilience of local institutions and community participation. Strengthening these governance mechanisms offers a viable pathway for improving the long-term sustainability of ecotourism in conservation landscapes.
Community-based Strategies for Optimising Mangrove Forest Tourism Management in Balang Baru Village, Jeneponto Regency Yayank, Andi Ridha; Molo, Hasanuddin; Rahim Sila, Sri Arfiani
Jurnal Wasian Vol. 12 No. 02 (2025): December
Publisher : Forestry Department, University of Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62142/45mbwp68

Abstract

Although SWOT analysis has been widely used for tourism and conservation planning, its application here highlights the institutional and social dynamics shaping mangrove ecotourism in a rural Indonesian context. The study reframes SWOT not merely as a planning tool but as a policy instrument to show how local collaboration, governance capacity and ecological rehabilitation can be aligned to sustain mangrove-based livelihoods. Grounded in the context of Balang Baru Village, where mangrove resources managed as a tourism area face increasing pressure from population growth and economic needs, this study aims to optimise the utilisation of the mangrove forest tourism area through the formulation of effective management strategies. Primary data were obtained from interviews with 15 respondents, including local residents, village government representatives, and members of the mangrove management group. The results identified ten strategic actions to strengthen mangrove tourism management, including the use of non-tourism zones for rehabilitation, the development of mangrove education parks, the establishment of an official tourism website, the improvement of facilities and infrastructure, and the enhancement of stakeholder collaboration. These strategies are expected to support sustainable mangrove management while improving community welfare through ecotourism development.
Revealing Carbon Patterns Across Mangrove Density Variations Using Sentinel-2 NDVI Nasir, Anugrahandini; Herawaty, Herawaty; Ismail, Ismail; Syah, Muh Izzul Muslimin
Jurnal Wasian Vol. 12 No. 02 (2025): December
Publisher : Forestry Department, University of Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62142/rbh1zd16

Abstract

Mangrove ecosystems play a crucial role in maintaining the balance of coastal ecosystems and mitigating climate change due to their ability to absorb and store carbon. This study aims to estimate carbon stocks across different mangrove density levels on Bangko-bangkoang Island, Pangkep Regency, South Sulawesi Province. The methods employed include Sentinel-2 imagery analysis using the Google Earth Engine platform to identify vegetation density based on the Normalized Difference Vegetation Index (NDVI) and estimate carbon stocks using an allometric model and field data. The Sentinel-2 image analysis revealed that the mangrove vegetation cover on Bangko-bangkoang Island spans 16.04 ha. NDVI results show that mangroves in the low-density class cover 8.97 ha (56%), the medium-density class covers 3.71 ha (23%), and the high-density class covers 3.34 ha (21%). Field surveys confirmed the presence of three mangrove species on the island: Rhizophora mucronata, Rhizophora stylosa, and Sonneratia alba. Regression analysis conducted to assess the relationship between NDVI values and carbon stocks revealed the best model as an exponential function with the equation y = 0.0043e(11.726x), yielding a coefficient of determination (R²) of 0.683. The average carbon stock for the low-density class is 22.35 tons C/ha, for medium density is 67.1 tons C/ha, and for high density is 111.85 tons C/ha. These findings emphasize the important role of mangroves in climate change mitigation and provide scientific evidence for mangrove conservation efforts, particularly in enhancing vegetation density to optimize carbon storage.
Individual Tree Segmentation in TropicalNatural Forest Based on Point CloudGenerated from UAV RGB Image Irlan, Irlan; Adzkia, Ulfa; Suhartono, Suhartono; Meliani, Meliani; Jenos, Alpri Sri; Bimantara, Teguh; A, Chairil
Jurnal Wasian Vol. 12 No. 02 (2025): December
Publisher : Forestry Department, University of Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62142/kx7bhn83

Abstract

Different techniques have been developed for segmenting individual trees using point clouds from UAVs and other remote sensing technologies. A more accurate and reasonably priced method is still required, nevertheless, especially for tropical natural forests. This study evaluates the accuracy of individual tree segmentation using point clouds derived from RGB images in Indonesian natural forests. Compared to other sensors like LiDAR, RGB-based point clouds are significantly more cost-effective. We employed a point cloud-based segmentation algorithm, which has demonstrated superior performance over raster-based or hybrid methods. The results show that this approach is feasible for segmenting individual trees, although it tends to produce over-segmentation. This was attributed to the constraints of incomplete ground measurements resulting from dense canopy cover. The method achieved an overall segmentation accuracy of r (0.68), p (0.76), and F (0.72). Tree position accuracy had an RMSE of 1.95 meters, while the RMSE for crown radius was 1.59 meters. Future work will focus on enhancing the quality of RGB point clouds and improving algorithms to increase segmentation accuracy in natural forests.
Species Diversity of Trees in Sungai BuluhPeat Forest Reserve, Mendahara UluDistrict, Tanjung Jabung Timur Regency Nahlunnisa, Hafizah; Nursanti, Nursanti; Dinanty, Fawwaz; Yandi, Wahyu Nazri
Jurnal Wasian Vol. 12 No. 02 (2025): December
Publisher : Forestry Department, University of Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62142/a5jm2k73

Abstract

Peat swamp forests are ecologically important ecosystems that regulate hydrology, store carbon, and support high biodiversity. The Sungai Buluh Peat Forest Reserve in Mendahara Ulu District, Tanjung Jabung Timur, Jambi Province, Indonesia, represents a relatively undisturbed tropical peat swamp forest with high potential for tree species diversity. This study assessed tree species composition, diversity, and community structure in the Sinar Wajo and Sungai Beras Village Forests to support ecological monitoring and guide sustainable forest. Species dominance was analyzed using the Importance Value Index (IVI), while community structure was evaluated using the Shannon–Wiener diversity index (H′), Pielou’s evenness (E), Margalef’s richness (Dmg), and community similarity (IS). A total of 45 species from 22 families were recorded in Sinar Wajo Village Forest, while 36 species from 21 families were documented in Sungai Beras Village Forest. Diversity and richness were higher in Sinar Wajo village forest, while both sites exhibited high evenness and low dominance, indicating stable and heterogeneous communities. Community similarity between the two forests was high, suggesting comparable ecological and environmental conditions. These results provide a comprehensive overview of tree species composition and community structure in the Sungai Buluh Peat Forest Reserve. The study emphasizes the importance of baseline ecological data to guide sustainable forest management and conservation, supporting biodiversity preservation and maintaining ecosystem functions in tropical peat swamp forests.

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