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All Journal Journal Basic Science and Technology MULTIPLE: Journal of Global and Multidisciplinary
Philia Christi Latue
Universitas Pattimura, Indonesia
Religion Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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Identification of Flood-Prone Areas Using the Topographic Wetness Index Method in Fena Leisela District, Buru Regency Philia Christi Latue; Heinrich Rakuasa
Journal Basic Science and Technology Vol 12 No 1 (2023): February: Basic Science and Technology
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/jbst.v12i1.3673

Abstract

Fena Leisela District is often hit by floods in the rainy season. Floods that often occur in Siwalalat District are caused by the overflow of the Waegeren River. Research using DEMNAS data and analysis using the Topographic Wetness Index method. The results of the analysis of the inundation potential are divided into three classes, namely the low potential class with an area of 92,196.09 or 63.04%, the medium class covering 45,769.48 ha or 31.29% and the high potential class covering 936.12 ha or 5.67 %. The research results are expected to be a reference for the government and the community in handling future floods to minimize the impact that occurs
Flood Risk Modeling in Buru Island, Maluku Province, Indonesia using Google Earth Engine: Pemodelan Risiko Banjir di Pulau Buru, Provinsi Maluku, Indonesia dengan menggunakan Mesin Google Earth Susan E Manakane; Philia Christi Latue; Glendy Somae; Heinrich Rakuasa
MULTIPLE: Journal of Global and Multidisciplinary Vol. 1 No. 2 (2023): August
Publisher : Institute of Educational, Research, and Community Service

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Abstract

Flood Risk Modeling in Buru Island, Maluku Province, Indonesia using Google Earth Engine has made a significant contribution to addressing flood threats in the region. Through the integration of satellite imagery, topographic, and hydrological data, this analysis maps flood-prone areas and models their potential impacts. Data processing and analysis were conducted in Google Earth Engine. The results show that the area prone to flooding in the low class is 195,501.88 ha or 23.18%, the area in the medium risk class is 496,182.06 ha or 58.84% and the area at high risk of flooding is 151,599.17 ha or 17.98%. The modeling results provide insights into flood patterns and intensity, enabling the development of more effective mitigation strategies. The use of Google Earth Engine also enables the development of data-driven solutions to increase public awareness and contribute to holistic disaster management. This research not only impacts Buru Island, but also provides valuable guidance for flood risk mitigation efforts in similar areas
Monitoring Urban Sprawl in Ambon City Using Google Earth Engine: Memantau Urban Sprawl di Kota Ambon Menggunakan Mesin Google Earth Heinrich Rakuasa; Philia Christi Latue
MULTIPLE: Journal of Global and Multidisciplinary Vol. 1 No. 2 (2023): August
Publisher : Institute of Educational, Research, and Community Service

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Abstract

Urban sprawl is an increasing problem in many cities around the world including Ambon City. Monitoring urban sprawl is critical to understanding its impact on the environment and quality of life. This study used Landsat 4 Level 2, Collection 2, Tier 1 - Year 1990, 1995, Landsat 5 Level 2, Collection 2, Tier 1 - 2000, 2005, Landsat 7 Level 2, Collection 2, Tier 1 - 2010, Landsat 8 Level 2, Collection 2, Tier 1 - 2015 and Landsat 9 Level 2, Collection 2, Tier 1 Year 2 - Year 2020 satellite image data which were dodowloaded and analyzed on Google Earth Engine. The results showed that the area of built-up land in Ambon City from year to year experienced an increase in area. In 1990 built-up land in Ambon City was 2,772.78 ha, in 1995 built-up land had an area of 2,237.06 ha, in 2002 built-up land in Ambon City had an area of 1,503.19 ha. In 2000 built-up land in Ambon City experienced a decrease in area, as a result of the 199-1999 riots or social conflicts in Ambon City. In 2005 built-up land had an area of 2,589.57 ha, in 2010 built-up land had an area of 2,340.40 ha, in 2015 built-up land had an area of 3,993.17 ha and in 2020 built-up land continued to experience an increase in area of 4,085.54 ha. Research results enable stakeholders to make evidence-based decisions, plan urban development more efficiently, and involve communities in decision-making. With a data-driven approach and advanced technology, it is expected that cities like Ambon City can develop sustainably and harmonize urban growth with environmental sustainability and people's quality of life
Co-Authors Glendy Somae Heinrich Rakuasa Susan E. Manakane, Susan E.