Yansen Yansen
Jurusan Kehutanan Fakultas Pertanian Universitas Bengkulu, Jalan WR. Supratman, Kandang Limun, Bengkulu 38371, Indonesia

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Analisis Komparasi Melalui Citra Satelit Sentinel dan Landsat untuk Pemantauan Pelaksanaan Reklamasi Lahan Bekas Tambang Batubara Tedy Meilyanto; Hery Suhartoyo; Yansen Yansen; Wiryono Wiryono; Agus Susatya
Naturalis: Jurnal Penelitian Pengelolaan Sumberdaya Alam dan Lingkungan Vol. 14 No. 02 (2025)
Publisher : Badan Penerbitan Fakultas Pertanian (BPFP), Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31186/naturalis.14.02.43723

Abstract

Mining activities can cause environmental degradation, especially in the form of changes in land cover and loss of vegetation. Therefore, monitoring the success of reclamation is important to ensure the restoration of post-mining ecosystems. This study aims to (1) monitor the implementation of post-mining land reclamation of PT. Bukit Sunur by analyzing canopy density or vegetation cover through Landsat and Sentinel imagery using the ArcGIS 10.8 platform, and (2) compare the NDVI values from both satellite images in the 2016, 2020, and 2024 periods to see the differences in the level of reclamation success detected by each satellite sensor. This study uses a remote sensing analysis method, where Landsat and Sentinel images are processed to extract NDVI (Normalized Difference Vegetation Index) values to identify changes in vegetation density over time. Vegetation density classification is carried out using the Kappa index and Overall Accuracy (OA) calculations to measure the accuracy of image classification. The results show that the reclamation of post-mining land of PT. Bukit Sunur experienced a significant increase in vegetation density. In 2016, most of the area was still dominated by the Low to Moderate Vegetation category, but in 2020 there was an increase in the area of High Vegetation due to the transition from the Fairly High Vegetation class. Furthermore, in 2024, Very High Vegetation increased drastically from 0 ha to 267 ha, indicating the success of reclamation in improving land cover. Furthermore, a comparison of Landsat and Sentinel imagery shows a similar trend of NDVI changes, although Sentinel provides a higher resolution in detecting detailed vegetation changes. Overall Accuracy (OA) and Kappa Index (KA) values reached 97%-100%, indicating a very high level of classification accuracy. The conclusion of this study is that reclamation monitoring using satellite imagery has proven effective in identifying vegetation changes over time, with Sentinel showing superiority in more detailed resolution co mpared to Landsat. The results of this study can be used as a basis for evaluating mine reclamation programs and planning for post-mining ecosystem sustainability. Keywords: Landsat, Mining Land Reclamation, NDVI, Sentinel, Vegetation Density
Studi Potensi Obyek Daya Tarik Wisata Alam dan Strategi Pengembangan Pariwisata TWA Danau Dendam Tak Sudah Kota Bengkulu Dian Nata Yasrij; Wiryono Wiryono; Yansen Yansen; Gunggung Senoaji; Yurike Yurike
Naturalis: Jurnal Penelitian Pengelolaan Sumberdaya Alam dan Lingkungan Vol. 15 No. 01 (2026)
Publisher : Badan Penerbitan Fakultas Pertanian (BPFP), Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31186/naturalis.15.01.48867

Abstract

This research aims to determine the potential of natural tourist objects and attractions in the Lake Dendam Tak Sudah Natural Tourism Park (TWA), examine the Analysis of the Operational Area for Natural Tourist Attraction Objects (ADO-ODTWA) whether they are suitable for development, examine the characteristics and opinions of visitors regarding tourism development in the Lake Dendam Tak Sudah TWA, examine the characteristics and opinions of the community regarding tourism development in the Lake Dendam Tak Sudah TWA and formulate recommendations for tourism development strategies in the Lake Dendam Tak Sudah TWA. The research method uses the Regional Analysis of Operational Areas of Natural Tourist Attractions and Attractions (ADO โ€“ ODTWA) from the Directorate General of PHKA, Department of Forestry in 2003 to assess the potential of natural tourist attraction objects, descriptive analysis with a quantitative approach for the characteristics and opinions of the community and visitors and uses SWOT analysis for strategy development. The results of the research into the potential natural tourism attraction objects of TWA Lake Dendam Tak Sudah Jadi have a combination of natural beauty, unique ecosystem and cultural values โ€‹โ€‹of the surrounding community, including Lake Dendam Tak Sudah itself, swamp forests and endemic vegetation, docks and boat tours as well as local culture. The results of the research also show that the TWA DDTS area is very suitable for development because it has an average feasibility index of 96.80%, with 9 criteria that are feasible and only 4 criteria that are not feasible, namely accommodation, visitor facilities and infrastructure, visitor management and marketing. Most of the visitors are not married because they are mostly teenagers. The majority of visitors' opinions about tourist attractions at TWA DDTS agree that they should be developed. The people of Dusun Besar Subdistrict are dominated by the productive age group, the education level of most of them is high school graduates with the majority of their livelihoods being traders. Most of the community is very supportive of tourism development in the TWA DDTS tourist area. The strategy for developing the TWA Air Hitam tourist attraction is at coordinates (1.413 ; 0.742) in quadrant I which has an aggressive strategy, namely 1) Development of ecotourism based on conservation and local wisdom 2) Empowerment of productive communities as drivers of natural tourism 3) Improvement of infrastructure and supporting facilities for natural tourism 4) Multi-stakeholder collaboration in developing sustainable tourism areas 5) Strengthening the image and promotion of natural tourism in Bengkulu Province