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Spatial Structure Analysis in Regional Development Context at Samosir Regency Permana, Sendi; Siburian, Pukarda Jordan; Lubis, Darwin Parlaungan; Damanik, M Ridha Syafii; Rahmadi, M Taufik; Ryabtsev, Vladimir
Tunas Geografi Vol 12, No 2 (2023): JURNAL TUNAS GEOGRAFI
Publisher : Department of Geography Education, Faculty of Social Sciences, Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/tgeo.v12i2.47494

Abstract

Regional inequality or disparity is a natural consequence of development and an unavoidable stage. This happens because of differences in population, natural resource potential and geographical conditions in each region. This research aims to analyze public service centers, inter-district interactions, and settlement patterns in the context of regional development in Samosir Regency. The study uses a descriptive method with a quantitative approach to analyze the centers of public services, inter-district interactions, and settlement patterns among districts in Samosir Regency using the tools of centrality index analysis, gravity model, and nearest neighbor analysis. The analysis results show that the public service facilities in Samosir Regency in 2021 include 517 units of educational facilities, 442 units of healthcare facilities, 561 units of religious facilities, and 2,418 units of economic facilities, with the service center located in Pangururan District with a total availability of 1,081 units, which has the highest centrality value of 966.63. The largest inter-district interactions occur in Palipi District with a total interaction of 11,671,532.31, while the smallest interaction occurs in Simanindo District with a total interaction of 749,250.15. The settlement pattern in Samosir Regency consists of 1 district with a random settlement pattern and 8 other districts with clustered settlement patterns. In the development of Samosir Regency, the influence of district interactions, service centers, and settlement patterns are important factors to be considered.Keywords: District, Service Center, Interaction, Settlement Pattern
Intelligent Hazard Assessment of Mangrove Degradation Ryabtsev, Vladimir; Rahmadi, M Taufik; Harefa, Meilinda Suriani; Tuhono, Eling; Suciani, Ayu; Pratama, Alvin
Indonesian Journal of Earth Sciences Vol. 4 No. 2 (2024): July-December
Publisher : MO.RI Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52562/injoes.2024.822

Abstract

Mangrove ecosystems are crucial for mitigating climate change by sequestering significant amounts of carbon, providing habitat for diverse species, and protecting coastal areas. Their sustainability is vital for global environmental balance and human welfare. Analysis using the Eidos system reveals the threats to mangrove forest health, considering both negative and positive factors and analyzing the strength and direction of each threat's influence. The Eidos system facilitated the development of a statistical model and cognitive system, demonstrating effectiveness in identifying and classifying degradation risks based on empirical data, allowing for early predictions at relatively low operational costs. These findings can be leveraged by coastal protection organizations worldwide, as the Eidos system is freely accessible online in multiple languages. The results have the potential to inform targeted mangrove conservation policies and enhance environmental protection initiatives in various regions.