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ANALISIS STRATEGI MULTISTAKEHOLDER PENGEMBANGAN DESA WISATA RAMMANG-RAMMANG Bimantara, Teguh; A. Samsu, Andi Khairil
Jurnal Eboni Vol 6 No 2 (2024): November
Publisher : Program Studi Kehutanan Universitas Muslim Maros

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46918/eboni.v6i2.2539

Abstract

Tourism is currently still a priority sector for the government because it is considered capable of being a locomotive for the nation's economic movement. In Indonesia, tourist attractions have been integrated with the concept of ecotourism, namely tourism without destroying the environment so that it is sustainable. Activities that can be carried out apart from traveling are research, education and environmental services. South Sulawesi has the Rammang Rammang Tourism Village as a locus for ecotourism, namely tourism that prioritizes ecological principles. Even though the concepts offered are increasingly complex, tourists are decreasing, this is of course due to the impact of government policies during the Covid-19 pandemic until the New Normal era. Therefore, it seems necessary to develop a strategy for developing a tourist village model with a multi-stakeholder role in order to increase tourist attraction. The aim of this research is to identify management conditions, policies and develop a tourism village development strategy. The methods used are interviews, observation, questionnaires and literature review. The data obtained was then analyzed using SWOT, EFAS and IFAS. Research shows that the impact of the pandemic policy until the New Normal era has had an impact on government circles, namely a lack of contribution (Original Regional Income), for tourism managers also reduced income, and tourists are not free to explore tourist attractions. So to answer this problem a strategy model is offered, namely maximizing pentahelix involvement, planning and designing tourism innovation products, identifying market demand and building marketing strategies, as well as identifying tourism sustainability (Monitoring and Evaluation).
ANALISIS TATA KELOLA KELEMBAGAAN DALAM PENGELOLAAN PERHUTANAN SOSIAL DI KABUPATEN TORAJA UTARA: Analysis Of Institutional Governance In Social Forestry Management In North Toraja Regency BIMANTARA, TEGUH; Andi Khairil A. Samsu
Jurnal Eboni Vol. 7 No. 1 (2025): JUNI
Publisher : Program Studi Kehutanan Universitas Muslim Maros

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46918/eboni.v7i1.2708

Abstract

Social Forestry (PS) is a forest management program that grants management rights to local communities to access and manage forest areas legally and sustainably. This program not only aims to preserve the forest, but also to improve the welfare of the community, including in the aspect of food security and self-sufficiency.This study aims to evaluate the management of Community Forest (HKm) in North Toraja Regency with a focus on institutional and business aspects. Data collection was conducted through observation, structured interviews, and examination of institutional documents in three Forest Farmer Groups (KTH), namely Tambuntana, Tombang Riri, and Sipaelle. The sampling technique used purposive sampling and quota sampling methods. The results showed that the planning and institutional aspects were in the good category, with average scores of 110 and 109.57 respectively. However, other obligations such as the preparation of annual reports were classified as poor with a score of 39.13, indicating a lack of attention to documentation of activities. Community empowerment scored moderately well (46.09), which was influenced by the suboptimal role of Forest Management Unit extension workers in training and marketing Non-Timber Forest Products. The business governance aspect was also categorized as quite good (87.61), supported by the existence of a group business structure, but constrained by a lack of training and market access. Supporting factors for HKm management include the existence of planning documents, the desire to preserve the forest, and assistance from the government. Meanwhile, inhibiting factors include the lack of member involvement, limited human resources, and not optimal government support in marketing Non-Timber Forest Products. Overall, the performance of community forest management in the three forest farmer groups is in the good category, but needs improvement in the aspects of administrative obligations and community empowerment.
ANALISIS STRATEGI MULTISTAKEHOLDER PENGEMBANGAN DESA WISATA RAMMANG-RAMMANG Bimantara, Teguh; A. Samsu, Andi Khairil
Jurnal Eboni Vol. 6 No. 2 (2024): November
Publisher : Program Studi Kehutanan Universitas Muslim Maros

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46918/eboni.v6i2.2539

Abstract

Tourism is currently still a priority sector for the government because it is considered capable of being a locomotive for the nation's economic movement. In Indonesia, tourist attractions have been integrated with the concept of ecotourism, namely tourism without destroying the environment so that it is sustainable. Activities that can be carried out apart from traveling are research, education and environmental services. South Sulawesi has the Rammang Rammang Tourism Village as a locus for ecotourism, namely tourism that prioritizes ecological principles. Even though the concepts offered are increasingly complex, tourists are decreasing, this is of course due to the impact of government policies during the Covid-19 pandemic until the New Normal era. Therefore, it seems necessary to develop a strategy for developing a tourist village model with a multi-stakeholder role in order to increase tourist attraction. The aim of this research is to identify management conditions, policies and develop a tourism village development strategy. The methods used are interviews, observation, questionnaires and literature review. The data obtained was then analyzed using SWOT, EFAS and IFAS. Research shows that the impact of the pandemic policy until the New Normal era has had an impact on government circles, namely a lack of contribution (Original Regional Income), for tourism managers also reduced income, and tourists are not free to explore tourist attractions. So to answer this problem a strategy model is offered, namely maximizing pentahelix involvement, planning and designing tourism innovation products, identifying market demand and building marketing strategies, as well as identifying tourism sustainability (Monitoring and Evaluation).
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.