Article Per Year (5 Year)
p-Index From 2020 - 2025
1.066
P-Index
This Author published in this journals
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

Published : 7 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 7 Documents
Search

 1 
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.
Ethnobotanical Study and Medicinal Plant Bioprospecting in Tamiang Tribal Community, Aceh Nufus, Cut Azura Izatul; Rasnovi, Saida; Dharma, Wira; Navia, Zidni Ilman; Razi, Nanda Muhammad; Rahmadani, Rahmadani; Anjelia, Via; Meyrita, Meyrita; Najmi, Istafan; Mardudi, Mardudi
Journal of Tropical Ethnobiology Vol. 7 No. 1 (2024): January 2024
Publisher : The Ethnobiological Society of Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46359/jte.v7i1.177

Abstract

Each tribe has a tradition of ethnobotanical plant utilization and management, one of which is the Tamiang tribe. The community realizes the potential of plant utilization, thus creating considerable economic opportunities for bioprospection. This study used the Participatory Rural Appraisal (PRA) method to collect data by actively involving the community. Semi-structured interview techniques were conducted to explore ethnobotanical information from the Tamiang tribe. From the results of the Slovin analysis, 600 respondents with an age range of 35 to 94 years were obtained. Snowball sampling was used to select respondents. Determination of Sub-district locations selected six Sub-districts from 12 Subdistricts by purposive sampling with the largest number of Tamiang Tribe. The results showed that there were 225 species from 74 families used by the Tamiang people in treating various diseases. The most commonly cured diseases are fever, diabetes, and hypertension. Tagetes erecta is the most widely recognized medicinal plant species with a relative citation frequency index of 1.00. At the same time, Andrographis elongata is the most frequently used medicinal plant by the local community with a use value index of 1.00. In addition, local people identified the leaf organ (60.89%) as the most commonly used part of the plant, while decoction (58.20%) was the most popular method of administering traditional medicine. Both species of Andrographis elongata and Moringa oleifera have the potential to treat diabetes and hypertension as seen from the highest ICS value as prospective plants in the utilization and management of medicinal plants, so they can be developed as raw materials for herbal medicine.
Spatial Analysis of Vegetation Density in Langsa City Using NDVI Index Unsha, Fuji Attariq; Rasnovi, Saida; Dahlan
Al-Kauniyah: Jurnal Biologi Vol. 19 No. 1 (2026): AL-KAUNIYAH JURNAL BIOLOGI
Publisher : Department of Biology, Faculty of Science and Technology, Syarif Hidayatullah State Islami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/kauniyah.v19i1.44468

Abstract

This study aims to analyze the distribution of vegetation density in Langsa City using the Normalized Difference Vegetation Index (NDVI). The research was conducted from June to October 2024, covering a study area of ​​21,881.41 ha. The method used is remote sensing, using Sentinel-2A satellite imagery, along with Geographic Information System (GIS) software, specifically ArcGIS, for mapping and spatial analysis. The NDVI classification results show five land cover categories based on NDVI value ranges. NDVI Class 1 (-0.38 to -0.02) includes non-vegetated land and water bodies. NDVI Class 2 (-0.02–0.20) indicates very low greenness, typically consisting of bare land. NDVI Class 3 (0.20–0.38) represents low greenness, which includes built-up areas. NDVI Class 4 (0.38–0.54) includes moderate greenness, typically found in plantations or fields, while NDVI Class 5 (0.54–0.83) represents high greenness, covering areas such as shrubs, forests, and mangroves. This analysis provides valuable information for land use planning and environmental management based on spatial vegetation data. The results of this study are expected to serve as a basis for policy-making that supports the sustainable management and conservation of vegetation in Langsa City.
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