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All Journal AL KAUNIYAH BIOTIK: Jurnal Ilmiah Biologi Teknologi dan Kependidikan Jurnal Penelitian Pendidikan IPA (JPPIPA) Journal of Tropical Ethnobiology PESARE: Science and Engineering Service Journal Jurnal Kelautan dan Perikanan Indonesia
Saida Rasnovi
Department of Biology, Faculty of Science, Syiah Kuala University
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Education Engineering Environmental Science Materials Science & Nanotechnology Physics Public Health Social Sciences Veterinary

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Journal : Jurnal Penelitian Pendidikan IPA (JPPIPA)

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Application of Remote Sensing for Mapping Vegetation Density Using Normalized Difference Vegetation Index (NDVI) in Langsa City Mangrove Forest Unsha, Fuji Attariq; Rasnovi, Saida; Dahlan
Jurnal Penelitian Pendidikan IPA Vol 11 No 7 (2025): July
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i7.11530

Abstract

Mangroves are vital coastal ecosystems that thrive in tidal environments and play a crucial role in biodiversity and shoreline protection. This study aims to assess the vegetation density of the Langsa City Mangrove Forest using the Normalized Difference Vegetation Index (NDVI) derived from Sentinel-2A satellite imagery and analyzed through Geographic Information System (GIS) tools, particularly ArcGIS. NDVI values were categorized into four classes: very low (-0.15–0.34), low (0.35–0.48), medium (0.49–0.61), and high (0.62–0.83). The spatial analysis revealed that 57.2% of the area (approx. 128.5 ha) exhibited high vegetation density, while 24.6% (55.2 ha) showed medium density, and 13.3% (29.9 ha) had low vegetation. Approximately 4.9% (11.0 ha) of the area was classified as very low density, indicating regions with potential for ecological rehabilitation. These findings demonstrate that NDVI is an effective and reliable indicator for monitoring mangrove vegetation health. Routine application of NDVI analysis is essential for supporting sustainable management strategies and long-term conservation planning in coastal forest ecosystems..
Macroalgae Community Structure on Different Substrate in Sabang Waters Darlina; Rasnovi, Saida; Amalia
Jurnal Penelitian Pendidikan IPA Vol 11 No 7 (2025): July
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i7.11610

Abstract

Research on analysis of macroalgae community structure on different substrates in Sabang waters to identify, analyzing diversity, abundance, and important value index. The data collection method was carried out by purposive sampling using a plot of 1x1 m2 with 10 plots per transect. Sampling was carried out at three stations, namely Station I on Pasir Putih with a medium fine sand substrate, Station II at Anoi Itam with a gravel sand substrate, and Station III on Rubiah Island with a fine sandy clay substrate. Data were analyzed using the Importance Value Index (IVI) and the Shannon-Wiener Diversity Index. The environmental parameters at each station that were measured were substrate particles, temperature, brightness, depth, and current velocity, while the chemical parameters were salinity, pH, COD, phosphate, and nitrate. The results of the study found 2615 macroalgae individuals consisting of three divisions. Chlorophyta division consists of 9 species, Rhodophyta was 7 species, and Phaeophyta was 1 species (Dyctyota dichotoma). The highest Important Value Index at each research station consisted of the Chlorophyta division with two species, namely Dictyosphaeria cavernosa (IVI = 59.18) and Halimeda opuntia (IVI = 54.15). The value of the diversity index (H') of macroalgae in Sabang waters is moderate, namely in Pasir Putih as much as 2.18, Anoi Itam and Rubiah Island as much as 2.01, and 1.97, respectively. The study concluded that the macroalgae community structure in Sabang waters exhibits moderate species diversity, with the Chlorophyta division, particularly Dictyosphaeria cavernosa and Halimeda opuntia, showing the highest importance value indices across different substrates.
Co-Authors Amalia Anjelia, Via Arhas, Firman Rija Dahlan Dahlan Dahlan Darlina Mardudi, Mardudi Meyrita, Meyrita Najmi, Istafan Nanda Muhammad Razi Nanda, Rizki Navia, Zidni Ilman Nufus, Cut Azura Izatul Rahmadani Rahmadani Rahmadani, Ayu Siregar, Muhammad Ridha Unsha, Fuji Attariq Wira Dharma Yulia Sari Ismail