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All Journal Jurnal Biologi Tropis
Muhammad Husni Idris
Program Studi Kehutanan Universitas Mataram
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Immunology & microbiology

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Levels of Land Cover Density on Carbon Reserves and Income in Dongo Baru Community Forest (HKm) Jayadi, Andi; Idris, Muhammad Husni; Markum, Markum
Jurnal Biologi Tropis Vol. 24 No. 3 (2024): July - September
Publisher : Biology Education Study Program, Faculty of Teacher Training and Education, University of Mataram, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbt.v24i3.7524

Abstract

Community Forest (HKm) in Dongo Baru, Mount Rinjani forest area, in land management applies a mixed agroforestry pattern. The application of this pattern is the result of forest rehabilitation activities covering 138 ha in 2019. This HKm has a variety of different types of land management in one management area. This study aims to describe the condition of HKm using an environmental approach by estimating carbon stock data and economic value by looking at the value of arrive efficiency. The strategy utilized in this inquire about is graphic method by means of observation, Center Gather Discourse, and interviews, to 27 respondents / owners of land economic aspects by taking carbon stock data to 27 farmer-owned land. The environmental assessment to measure carbon stocks used a sample of 27 plots, measuring 50m x 20m for trees, 10m x 10m for poles, and 5m x 5m for saplings. The plots represent the density level of the forest area, i.e. dense, medium, not dense. Determination of forest density classification using Landsat-7 satellite image analysis in 2022. Based on the comes about within the ponder, it can be concluded that there are 3 density classifications that exist in the Dongo Baru HKm forest area, namely Meeting density, Moderately Meeting density and Not Meeting density. their respective incomes are meeting land density (Rp. 21,273,889), Moderately Meeting land density (Rp. 19,210,333) and Not Meeting land density (Rp. 22,431,556). Meeting land has carbon stock (256.86 tonnes/ha), Moderately Meeting land has carbon stock (95.34), and Not Meeting land has carbon stock (52.90 tonnes/ha). Land management with the density of Rapat land is considered to have fulfilled the principles of forest management from the economic and environmental aspects.
Analysis of Community Structure in Essential Ecosystem Zones Akbar, Muhammad Firmansyah; Idris, Muhammad Husni; Anwar, Hairil
Jurnal Biologi Tropis Vol. 24 No. 4 (2024): Oktober - Desember
Publisher : Biology Education Study Program, Faculty of Teacher Training and Education, University of Mataram, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbt.v24i4.7561

Abstract

Mangrove forest plant communities living in coastal areas have a significant influence on people’s lives ecologically  and economically. As well as cultivating fisheries commodities and protecting coastal areas from abrasion and stroms, mangrove areas also play an important role in climat change issues. Due to their importance, some water and wetland areas with high conservation value are designated as Essential Ecosystem Areas. Lembar and Sekotong Bay is one of them. This study aims to observe the condition of plant structure and composition in essential areas as well as the environmental conditions that support plant growth. To do this, indices of density, relative density, frequency, relative frequency, dominance, and importance value index were taken from each mangrove species. This was done through vegetation analysis. The observation site consisted of six stations, each of which had 78 observation plot point. The results showed that there were seven mangrove species in the ecosystem area of importance: Rhizophora Apiculata, Rhizophora Stylosa, Rhizophora Mucronata, Bruguira Gymnorrhiza, Avicennia Marina, and Excoaria Agallocha. The highes species density and relative density were owned by Rhizophora Stylosa, and the lowest relative density was owned by Excoaria Agallocha. The Highest species frequency and relative frequency are own by Rhizophora Stylosa Overall, the condition of important mangrove area is still in the medium-dense category. Environmental factors such as temperature, saline, pH, and Humidity are very helpful for the growth of mangrove species.
The Potential Application of IoT and Multispectral UAV Soil Sensor Technology in Sorgum (Sorgum bicolor L. Moench) Cultivation in Dry Land in Pujut District, Central Lombok Regency Pramesthi, Ardi Yoga; Safitri, Auliya; Misbahuddin, Misbahuddin; Idris, Muhammad Husni
Jurnal Biologi Tropis Vol. 26 No. 2 (2026): April - Juni
Publisher : Biology Education Study Program, Faculty of Teacher Training and Education, University of Mataram, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbt.v26i2.11867

Abstract

Sorghum (Sorghum bicolor L. Moench) is a drought-tolerant crop with significant potential for dryland cultivation in Pujut District, Central Lombok Regency, Indonesia. This study reviews the potential application of Internet of Things (IoT) and multispectral Unmanned Aerial Vehicle (UAV) technologies for precision sorghum cultivation in dryland ecosystems. A qualitative descriptive literature review was conducted, synthesizing 13 peer-reviewed studies on IoT sensor networks, UAV-based remote sensing, machine learning algorithms, and their integration in precision agriculture. The results indicate that IoT soil sensors can continuously monitor soil moisture, temperature, pH, and nutrient levels in Vertisol soils, while multispectral UAVs capture vegetation indices (NDVI, NDRE, CWSI) for biomass estimation, drought stress assessment, and yield prediction. The integration of both technologies, combined with machine learning approaches including ensemble learning and transfer learning, produces comprehensive crop health maps and site-specific management recommendations. The dryland characteristics of Pujut District, with Vertisol soils (pH 6.5–8.4) and limited water availability, are highly suitable for sorghum cultivation and would benefit substantially from precision agriculture interventions. A five-stage implementation framework is proposed, encompassing baseline survey, monitoring, analytics, precision management, and evaluation. Despite challenges including initial investment costs and technical capacity requirements, the long-term benefits of improved productivity and resource efficiency make IoT-UAV integration a viable strategy for sustainable dryland sorghum farming.
Co-Authors Akbar, Muhammad Firmansyah Hairil Anwar Jayadi, Andi Markum Misbahuddin, Misbahuddin Pramesthi, Ardi Yoga Safitri, Auliya