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All Journal Biopendix: Jurnal Biologi, Pendidikan dan Terapan Journal of Information Systems and Technology Research
Joshua, Benson
Unknown Affiliation
Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering

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Modeling Flood Hazards in Ambon City Watersheds: Case Studies of Wai Batu Gantung Rakuasa, Heinrich; Joshua, Benson; Somae, Glendy
Journal of Information Systems and Technology Research Vol. 3 No. 2 (2024): May 2024
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v3i2.836

Abstract

Flood hazard modeling in watersheds is an important step in natural disaster risk mitigation, especially in vulnerable areas such as Ambon City. This research focused on the Wai Batu Gantung, Wai Batu Gajah, Wai Tomu, Wai Batu Merah, and Wai Ruhu watersheds, using JRC Global Surface Water Mapping Layers data, NASA SRTM Digital Elevation 30 m data, and USGS Landsat 8 Level 2, Collection 2, Tier 1 data analyzed on the Google Earth Engine (GEE) platform. Prediction of built-up land in flood-prone areas was conducted by utilizing flood history analysis, hydrological modeling, and flood zone mapping. The results show that flood hazard modeling provides a better understanding of flood risk, assists in the development of safer land use planning, and increases public awareness of flood risk in Ambon City. It is hoped that the results of this research can contribute to flood risk management and sustainable regional development in the future.
Spatial Distribution and Suitability of the Endemic Babirusa Habitat (Babyrousa babyrussa) on Buru Island, Maluku using Maximum Entropy Rakuasa, Heinrich; Khromykh, Vadim V; Latue, Philia Christi; Manakane, Susan E; Somae, Glendy; Joshua, Benson
BIOPENDIX: Jurnal Biologi, Pendidikan dan Terapan Vol 13 No 1 (2026): Biopendix: Jurnal Biologi, Pendidikan & Terapan
Publisher : Program Studi Pendidikan Biologi FKIP Unpatti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/biopendixvol13issue1page41-51

Abstract

Buru Island is the endemic habitat of the Babirusa (Babyrousa babyrussa), facing pressures from human activities and habitat fragmentation. This study used the Maximum Entropy (MaxEnt) modeling method to map the spatial distribution and assess the habitat suitability of Babirusa based on environmental variables including elevation, slope, temperature, land cover, distance to water, and distance from built-up areas. The results show that the habitat is divided into four main classes: Very Low at 24.95%, Low at 31.67%, Moderate at 29.71%, and High at 13.68% of the total island area, which requires more intensive management and protection. Elevation and distance from settlements have an influence but with relatively small contributions, indicating the species’ tolerance to elevation variation. This model provides a scientific basis for integrated conservation strategies, including habitat management, reduction of anthropogenic pressures, and sustainable spatial planning based on habitat suitability to ensure the long-term survival of Babirusa on Buru Island.
Co-Authors Khromykh, Vadim V Latue, Philia Christi Rakuasa, Heinrich Somae, Glendy Susan E. Manakane, Susan E.