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VEGETATION CHARACTERISTICS AND CARBON STOCKS AFTER EARTHQUAKE IN FOREST FOR SPECIFIC PURPOSE (KHDTK) SENARU Sitti Latifah; Muhammad Husni Idris; Rato Silamon Firdaus; Niechi Valentino; Eni Hidayati; nuraini nuraini; Tedi Zulia Putra
Jurnal Penelitian Hutan dan Konservasi Alam Vol 17, No 2 (2020): Jurnal Penelitian Hutan dan Konservasi Alam
Publisher : Pusat Penelitian dan Pengembangan Hutan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20886/jphka.2020.17.2.173-189

Abstract

Kawasan Hutan Dengan Tujuan Khusus (KHDTK) or Forest for Specific Purposes in Senaru is a forest area designated for educational purposes. This study aims to assess ecological changes (i.e., vegetation cover, vegetation structure and diversity, and carbon storage) in KHDTK Senaru during three-time scales, namely in 2013 and in 2018; before and after the earthquake. Data were collected from 30 permanent quadratic plots, systematically distributed in these three different time scales. The vegetation cover resultsshow a decreasing vegetation cover in the dense class but increasing in middle and sparse density classes. Changes in vegetation structure and diversity are noticeable at all regeneration stages, while the carbon storage changes at each time scale. This study indicates that disturbance due to the earthquake has minimal effect on the species diversity than management practices. Therefore, we recommend that the manager or forest users to consider planting more species to increase diversity, improve ecosystemresiliency, prevent damage expansion, and decrease the ecological function of KHDTK Senaru.
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 Ardi Yoga Pramesthi; Auliya Safitri; Misbahuddin Misbahuddin; Muhammad Husni Idris
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.