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Pemberdayaan Masyarakat Melalui Pelatihan Eco-print dengan Pemanfaatan Tanaman Lokal di Gampong Meunasah Kulam, Aceh Besar Dharma, Wira; Rasnovi, Saida; Siregar, Muhammad Ridha
PESARE: Jurnal Pengabdian Sains dan Rekayasa Vol 3, No 1 (2025): Februari 2025
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/pesare.v3i1.43637

Abstract

Community empowerment through eco-print training by utilizing local plants aims to improve the skills and knowledge of the community in processing natural materials into value-added products. The training focused on the eco-print technique, which is a natural printing method that uses the potential leaves and local plants to create unique designs on fabrics. By utilizing local resources, participants not only learn new skills, but are also expected to develop sustainable creative enterprises with cultural relevance. The program involves active participation from the community, allowing them to share experiences and knowledge by conducted hands-on workshops on the eco-print technique, as well as build business networks. The results of the training showed an increase in participants' abilities in eco-print techniques and understanding of the importance of environmental sustainability. Through this initiative, the community is expected to support the increase their income by facilitated collaboration and business network development among participants for long-term growth, preserve local plants, and contribute to cultural and environmental preservation.
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.
Karakteristik Substrat dan Morfologi Rumput Laut di Kawasan Pesisir Aceh Selatan, Provinsi Aceh Arhas, Firman Rija; Rasnovi, Saida; Dahlan, Dahlan; Nanda, Rizki
Jurnal Kelautan dan Perikanan Indonesia Vol 5, No 2: Agustus (2025)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jkpi.v5i2.47499

Abstract

Penelitian ini mengkaji karakteristik substrat dan morfologi rumput laut di kawasan pesisir Aceh Selatan, Provinsi Aceh. Tujuan penelitian adalah untuk mengidentifikasi komposisi jenis rumput laut, tipe substrat yang ditempati, serta perbedaan morfologi masing-masing spesies. Metode yang digunakan adalah kombinasi line transect dan quadrat transect dengan pengambilan sampel di zona intertidal dan subtidal. Hasil penelitian menemukan 32 spesies rumput laut yang tergolong dalam tiga kelas: Chlorophyceae (11 spesies), Phaeophyceae (11 spesies), dan Rhodophyceae (10 spesies). Substrat keras seperti karang mati dan batu dominan dihuni oleh rumput laut dengan life form lithofitik (66%), sedangkan substrat lunak seperti pasir dan kerikil didominasi oleh rhizophitik (28%). Karakteristik morfologi rumput laut bervariasi, terutama pada struktur holdfast, stipe, dan blade, yang mencerminkan adaptasi terhadap kondisi lingkungan. Alga coklat (Phaeophyceae) memiliki morfologi paling kompleks, cocok untuk perairan berarus kuat, sementara alga hijau (Chlorophyceae) dan alga merah (Rhodophyceae) lebih adaptif di perairan tenang atau berarus sedang. Hasil penelitian ini memberikan informasi penting untuk konservasi dan budidaya rumput laut berkelanjutan dengan mempertimbangkan kesesuaian substrat dan ketahanan morfologis spesies.
ECTOMYCORRHIZAL MUSHROOMS DIVERSITY IN SORAYA RESEARCH STATION LEUSER ECOSYSTEM Rahmadani, Ayu; Rasnovi, Saida; Ismail, Yulia Sari
Biotik Vol 11 No 2 (2023): JURNAL BIOTIK
Publisher : Universitas Islam Negeri Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/biotik.v11i2.19268

Abstract

Ectomycorrhizal macro fungi have a mutualistic symbiosis with several plants, including those from the Dipterocarpaceae, Myrtaceae, and Fagaceae families. The existence of ectomycorrhizal macro fungi in nature is very important to preserve, therefore this study was conducted to determine the diversity of ectomycorrhizal macro fungi at Soraya Research Station. This study aims to determine the diversity of ectomycorrhizal macro fungi at the Soraya Research Stasiun Subulussalam, Leuser Ecosystem Area. The study was conducted from August 2021 to January 2022. The research method used is an exploratory survey, sampling using the squared method, using a permanent phenological plot of 20 plots measuring 20 m x 20 m, which are randomly placed in the secondary forest of the Soraya Research Station. The results obtained consisted of 5 orders, 14 families, 31 species, and 1440 individual numbers of ectomycorrhizal macro fungi. The most numerous species are obtained from the Boletaceae family, which is 5 species, and the Russulaceae family is 4 species. The ectomycorrhizal macro fungi species diversity index is relatively moderate at 2,997.