Claim Missing Document
Check
Articles

Found 4 Documents
Search

Application of GIS Technology for Landslide Prone Area Analysis in Ambon Island, Indonesia Rakuasa, Heinrich; Budnikov, Viktor Vladimirovich; Latue, Philia Christi
Journal of Geographical Sciences and Education Vol 3 No 1 (2025): Journal of Geographical Sciences and Education
Publisher : PT. Pubsains Nur Cendekia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69606/geography.v3i1.170

Abstract

The application of Geographic Information System (GIS) technology in analyzing landslide-prone areas in Ambon Island, Indonesia, is becoming increasingly important given the hilly geographical conditions of Ambon Island and its slopes, making landslides a frequent occurrence. This study used slope, soil type, rainfall, and land cover variables. This research used the Storie Index Method to analyze landslide prone areas in Ambon Island. The results showed that Ambon Island has a medium vulnerability level of 38,282.53 ha, a high class of 23,922.00 ha, and a low landslide prone level with an area of 21,676.08 ha. The results of this study are expected to be used as a policy recommendation for future landslide mitigation in Ambon Island.
Spatial Analysis of Vegetation Density Using MSARVI Algorithm and Sentinel-2A Imagery in Ternate City, Indonesia Rakuasa, Heinrich; Budnikov, Viktor Vladimirovich
Journal of Engineering and Science Application Vol. 2 No. 1 (2025): April
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/jesa.v2i1.14

Abstract

This study aims to analyze vegetation density in Ternate City, Indonesia, using the Modified Soil-Adjusted and Atmospherically Resistant Vegetation Index (MSARVI) algorithm and Sentinel-2A images processed through Google Earth Engine. The analysis results show that the vegetation density index values range from -0.54 to 1.16, with normalization resulting in four density classes: low, medium, dense, and very dense. Ternate Island sub-district had the largest area of very dense vegetation (4,133.12 hectares), while Ternate Tengah sub-district showed the lowest vegetation density, reflecting the significant impact of urbanization. This study revealed that despite anthropogenic pressures, Ternate Island remains an ecologically critical zone. These findings emphasize the importance of conservation efforts and afforestation initiatives to improve environmental resilience amidst the growing challenges of climate change and urban development.
Assessing Settlement Suitability Using Road Network Analysis for Sustainable Urban Planning in Ambon City, Indonesia Rakuasa, Heinrich; Budnikov, Viktor Vladimirovich
Applied Engineering, Innovation, and Technology Vol. 1 No. 2 (2024)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/aeit.v1i2.39

Abstract

The availability of infrastructure, particularly the road network, is a critical factor influencing the spatial distribution and suitability of land for settlement development in Ambon City. This study aims to assess settlement suitability by analyzing the relationship between settlement areas and their proximity to the road network, with a focus on supporting sustainable urban planning. Using road network data and SPOT 6 satellite imagery, the research employs a buffer technique to categorize settlements into three zones based on their distance from the nearest road: less than 100 meters, between 100 and 750 meters, and more than 750 meters. The findings reveal that settlements located within 100 meters of the road network cover 8,538.43 hectares, or 26.21% of the total settlement area. Settlements situated between 100 to 750 meters from roads account for 11,634.20 hectares (35.72%), while those farther than 750 meters from the road network occupy 12,401.05 hectares, representing 38.07% of the total settlement area. These results underscore the critical role that proximity to roads plays in determining the suitability of land for residential development, with a noticeable concentration of settlements closer to transportation infrastructure. The outcomes of this study provide valuable insights for urban planners and policymakers in Ambon City, offering a spatial understanding of settlement distribution that can guide future infrastructure development and land use policies.
Utilization of Digital Elevation Models in Slope Morphology Analysis for Landslide Identification in Ternate City, Indonesia Rakuasa, Heinrich; Budnikov, Viktor Vladimirovich; Adifan, Muhammad Rayhan
Applied Engineering, Innovation, and Technology Vol. 1 No. 2 (2024)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/aeit.v1i2.40

Abstract

 Ternate City, located in the North Maluku archipelago, Indonesia, has hilly geographical and morphological conditions that make it vulnerable to landslides. This research aims to identify potential landslide risks by utilizing the Digital Elevation Model and slope morphology analysis and provide recommendations for disaster mitigation. This study used Digital Elevation Model (DEM) data obtained from the Indonesian Geospatial Information Agency, as well as land use data extracted from Sentinel 2 satellite imagery. The Slope Morphology (SMORPH) method was applied to analyze the shape and slope, which was then used to generate a landslide potential map. The analysis results show that 1,391.72 hectares of area in Ternate City have a high risk of landslides, with factors such as slope, slope shape, and land use conditions contributing to soil stability. The study also identified the importance of risk mapping and socialization to the community on early signs of landslides to improve preparedness.  This research confirms the need for comprehensive and sustainable mitigation efforts to reduce the impact of landslides in Ternate City. Recommendations include infrastructure strengthening, drainage channel construction, and reforestation in critical areas. The results of this study are expected to serve as a basis for policymakers to formulate more effective disaster mitigation strategies and increase public awareness of the importance of wise environmental management.