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All Journal Journal of Tropical Biodiversity and Biotechnology BIOEDUSCIENCE Spektra: Jurnal Fisika dan Aplikasinya
Handayani, Windri
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Education Electrical & Electronics Engineering Energy Environmental Science Immunology & microbiology Materials Science & Nanotechnology Physics

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Plukenetia volubilis L.: A New Record of a Cultivated Alien Species in Java Tianara, Alexander; Handayani, Windri; Irsyam, Arifin Surya Dwipa; Hariri, Muhammad Rifqi; Dewi, Asih Perwita; Peniwidiyanti, Peniwidiyanti; Baidlowi, Muhammad Hisyam; Rosleine, Dian; Atria, Mega
Journal of Tropical Biodiversity and Biotechnology Vol 9, No 1 (2024): March
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jtbb.84523

Abstract

Plukenetia volubilis L. has been documented as a new record for the first time in Java, Indonesia. The species is easily distinguished from the native species, P. corniculata Sm., by its exstipellate basilaminar-glands, long cylindrical column, and wingless fruit-lobes. Plukenetia volubilis is cultivated mainly in South America for its beneficial values as food and medicine and was recently introduced to Asia. However, its occurrence in Java has not been reported. We collected specimens from West Java (Depok City, Bandung Barat and Sumedang Regency) and East Java (Malang Regency). Morphological description, identification key, and photographs of the species are provided.
Stem-base Rot Disease Detection in Oil Palm using RGB (Red, Green, Blue) and OCN (Orange, Cyan, NIR) Image Fusion Method Based on ResNet50 Panggabean, Prima Ria Rumata; Rista, Rista; Saputro, Adhi Harmoko; Handayani, Windri
Spektra: Jurnal Fisika dan Aplikasinya Vol. 10 No. 1 (2025): SPEKTRA: Jurnal Fisika dan Aplikasinya, Volume 10 Issue 1, April 2025
Publisher : Program Studi Fisika Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/SPEKTRA.101.02

Abstract

Current image acquisition and processing methods still need to be improved to effectively detect oil palm diseases. A precise and fast method to detect stem base rot disease in oil palm trees can be developed using drone technology and image processing approaches. An OCN (Orange, Cyan, NIR) camera is added to a standard drone and equipped with an RGB (Red, Green, Blue) camera. Combining the two cameras is proposed to generate multispectral imagery using an image fusion method called early fusion. A Multispectral Convolution Neural Network (MCNN) is also introduced to detect stem base rot disease by analysing the leaf patterns of oil palms. Healthy and unhealthy leaf samples were collected from oil palm plantations in Bogor. The images that have passed the image processing stage with the fusion method become inputs for modelling to identify stem base rot disease in oil palm. The results of the research using the multispectral image fusion method (RGB and OCN) based on the ResNet50 architecture can be used to identify stem base rot disease in oil palm effectively, as evidenced by the training and validation accuracy of 97.75% and 96.48%.
Zooremediation: Utilizing Animals for Environmental Purification and Pollution Mitigation Aini, Fadita Nurul; Nisa, Upi Chairun; Handayani, Windri; Maryenti, Tety; Yasman, Yasman
BIOEDUSCIENCE Vol 9 No 2 (2025): BIOEDUSCIENCE
Publisher : Universitas Muhammadiyah Prof. Dr. Hamka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/jbes/18376

Abstract

Background: The global human population continues to grow rapidly, leading to increasing urban waste and environmental contamination. One emerging and promising approach to mitigating this pollution is zooremediation, which utilizes animals as biological agents for environmental cleanup. This review aims to critically assess the effectiveness of various animal species in removing specific classes of pollutants, with particular attention to their mechanisms of action—zooextraction, zootransformation, and zooaccumulation—and the environmental conditions under which they operate. Effectiveness is evaluated based on pollutant removal efficiency, adaptability to contaminated environments, and ecological safety. Methods: Through systematic literature analysis, we identified key species, including Geukensia demissa, Daphnia magna, and Anadara granosa, which demonstrated measurable success in the remediation of aquatic environments contaminated with heavy metals and organic pollutants. Additionally, soil-dwelling nematodes such as Caenorhabditis elegans and Cephalobus persegnis play critical roles in hydrocarbon degradation and in enhancing microbial synergy in polluted substrates. These findings highlight the diverse functional capacities of animals in bioremediation efforts. The methodology employed in this study is a comprehensive literature review, focusing on peer-reviewed articles published over the last two decades. Results: This review synthesizes findings related to pollutant types, animal species used in zooremediation, remediation outcomes, and ecological impacts. By critically examining existing studies, the evaluation identifies trends, gaps, and challenges in the application of zooremediation. Conclusion: Future research should focus on understanding the long-term impacts, optimizing protocols, and safeguarding both ecological and animal health to fully realize the potential of zooremediation in managing environmental pollution on a global scale.
Co-Authors Adhi Harmoko Saputro Aini, Fadita Nurul ASIH PERWITA DEWI, ASIH PERWITA Atria, Mega Baidlowi, Muhammad Hisyam Dian Rosleine, Dian Irsyam, Arifin Surya Dwipa Maryenti, Tety Muhammad Rifqi Hariri Nisa, Upi Chairun Panggabean, Prima Ria Rumata Peniwidiyanti, Peniwidiyanti Rista, Rista Tianara, Alexander Yasman Yasman