Viktor Vladimirovich Budnikov
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Spatial Analysis of the Suitability of Residential Area Development to the Regional Spatial Plan of Ambon City, Indonesia, Based on the Slope Factor Rakuasa, Heinrich; Viktor Vladimirovich Budnikov; Daniel Anthoni Sihasale
Journal of International Multidisciplinary Research Vol. 2 No. 10 (2024): Oktober 2024
Publisher : PT. Banjarese Pacific Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62504/jimr911

Abstract

This study examines the suitability of land for the development of residential areas in Ambon City, based on the slope factor. The methods used include spatial analysis by utilizing Digital Elevation Model (DEM) data and the Ambon City Regional Spatial Plan (RTRW), as well as satellite image interpretation to identify suitable and unsuitable areas for residential development. The results show that more than 56% of the total planned land area is in the highly suitable category, while areas with steep slopes have a high potential for landslide risk. The discussion emphasizes the importance of settlement development focusing on safe and suitable areas, and the need for strict regulations to protect communities from disaster risks. The findings provide a strong basis for policy makers to formulate spatial planning strategies that are sustainable and responsive to the geographical conditions of Ambon City.
Utilization of GIS Technology for Mapping Flood-prone Areas in Ambon Island, Indonesia Rakuasa, Heinrich; Viktor Vladimirovich Budnikov
Indonesian Journal of Fundamental and Applied Geography Vol. 2 No. 1 (2024)
Publisher : PT. Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/ijfag.v2i1.20249

Abstract

Flooding is one of the most common natural disasters in Indonesia, including on Ambon Island, which can cause significant economic and social losses. This research aims to map flood-prone areas on Ambon Island using Geographic Information System (GIS) technology to map flood hazards and affected residential areas. This research uses variables of elevation, slope, rainfall, land cover, distance from rivers, and soil type. The weighted overlay method was used to produce maps of flood hazards and affected areas. The results showed that the low class flood had an area of 58,114.44 ha, the medium class had an area of 14,066.44 ha, and the high class had an area of 4,733.31 ha, while the built-up land area affected by flooding in the low class had an area of 907.92 ha, the medium class had an area of 3,445.92 ha, and the high class had an area of 1,681.40. The results of this study are expected to make a meaningful contribution to disaster risk management policies on Ambon Island and other areas with similar characteristics.