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All Journal HAYATI Journal of Biosciences MAJALAH ILMIAH GLOBE Jurnal Pengabdian Masyarakat Borneo Jurnal Abdi Insani Malacca Pharmaceutics Leuser Journal of Environmental Studies
Hewindati, Yuni Tri
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Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Social Sciences Other

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Journal : Leuser Journal of Environmental Studies

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TeutongNet: A Fine-Tuned Deep Learning Model for Improved Forest Fire Detection Idroes, Ghazi Mauer; Maulana, Aga; Suhendra , Rivansyah; Lala, Andi; Karma, Taufiq; Kusumo, Fitranto; Hewindati, Yuni Tri; Noviandy, Teuku Rizky
Leuser Journal of Environmental Studies Vol. 1 No. 1 (2023): July 2023
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/ljes.v1i1.42

Abstract

Forest fires have emerged as a significant threat to the environment, wildlife, and human lives, necessitating the development of effective early detection systems for firefighting and mitigation efforts. In this study, we introduce TeutongNet, a modified ResNet50V2 model designed to detect forest fires accurately. The model is trained on a curated dataset and evaluated using various metrics. Results show that TeutongNet achieves high accuracy (98.68%) with low false positive and false negative rates. The model's performance is further supported by the ROC curve analysis, which indicates a high degree of accuracy in classifying fire and non-fire images. TeutongNet demonstrates its effectiveness in reliable forest fire detection, providing valuable insights for improved fire management strategies.
The Effect of Life History on Alopias pelagicus Overexploitation Vulnerability: A Literature Review Hewindati, Yuni Tri; Novita Sari, Dhian
Leuser Journal of Environmental Studies Vol. 1 No. 2 (2023): November 2023
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/ljes.v1i2.54

Abstract

Alopias pelagicus Nakamura 1935 or pelagic thresher shark is an epipelagic species of shark prone to overexploitation due to its epipelagic habitat and slow life history. In 2019, based on existing data on abundance and exploitation, A. Pelagicus was included in the International Union for Conservation of Nature (IUCN) Red List of Threatened Species with the category of endangered (EN). This literature review analyzed the relationship between A. pelagicus life history and overexploitation susceptibility. The method used is a comprehensive search of international journals in online databases from ScienceDirect and Google Scholar with certain inclusion and exclusion criteria. Based on the criteria, seven out of 270 search results of international journal articles were included for the analysis. The results from the seven journal articles shows that A. pelagicus has a slow life history or k-selected life history. This life history is characterized by slow sexual maturity, low fecundity, long gestation period, annual reproductive cycle, slow growth, long lifespan, and low natural mortality rate. This life history makes A. pelagicus prone to overexploitation because if the mortality rate of catching exceeds the natural mortality rate, it will take a long time for A. pelagicus to return to their original population size.
Co-Authors Adi Waskito Adi Winata Akmal Muhni Ati Rahadiati, Ati Diki Diki Diki, Diki Dwisatyadini, Mutimanda Dwisatyadini, Mutimanda Elizabeth Novi Kusumaningrum Ernik Yuliana Fajar Fakri Ghazi Mauer Idroes Handayani, Sri Kurniati Harahap, Saima Putri Hasan Eldin Adimu Heny Kurniawati Khairan Khairan Kusumo, Fitranto Lala, Andi Maulana, Aga Mutimanda Dwisatyadini Novita Sari, Dhian Sri Utami Sri Utami Suhendra , Rivansyah Taufiq Karma Teuku Rizky Noviandy Waskito, Adi Wibowo A. Djatmiko