ISPRS-Archives The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ISPRS-Archives Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. 2194-9034 Copernicus Publications Göttingen, Germany 10.5194/isprs-archives-XLVI-M-2-2022-7-2022 MULTI-SCENARIO SPATIAL MODELING OF HEALTH FACILITIES DEVELOPMENT TO SUPPORT THE ACHIEVEMENT OF UNIVERSAL HEALTH COVERAGE Anggraini T. S. https://orcid.org/0000-0002-9761-9701 1 Anantri N. M. K. 1 Pratama R. P. 1 Rahadianto M. A. E. 2 Syetiawan A. https://orcid.org/0000-0001-9445-2742 3 Sakti A. D. 2 4 Master Program of Geodesy and Geomatics Engineering, Faculty of Earth Sciences and Technology, Bandung Institute of Technology, Jl. Ganesha No.10, Bandung 40132, Indonesia Center for Remote Sensing, Bandung Institute of Technology, Bandung 40132, Indonesia National Research and Innovation Agency of Indonesia Remote Sensing and Geographic Information Sciences Research Group, Faculty of Earth Sciences and Technology, Bandung Institute of Technology, Bandung 40132, Indonesia 25 07 2022 XLVI-M-2-2022 7 13 Copyright: © 2022 T. S. Anggraini et al. 2022 This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/ This article is available from https://isprs-archives.copernicus.org/articles/XLVI-M-2-2022/7/2022/isprs-archives-XLVI-M-2-2022-7-2022.html The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XLVI-M-2-2022/7/2022/isprs-archives-XLVI-M-2-2022-7-2022.pdf

The availability of health facilities that the community can easily reach is one way to improve the degree of health of residents in a region. The ratio of the number of health facilities and residents in Indonesia is currently only about 1:11000. In addition, the equalization of health facilities in Indonesia is also reasonably uneven because the number of health facilities is more centralized in Java, Indonesia. The transfer of the New Capital of Indonesia launched in 2024 to the island of Kalimantan makes Kalimantan Island a magnet for new people's lives, so it needs to be considered infrastructure development, especially in the health sector. This research attempts to model the conformity of health facilities development on the island of Kalimantan spatially by considering the aspect of accessibility as support and comfort and disaster aspects as a barrier. The accessibility aspect will consider geographical and social criteria, the comfort aspect will consider the criteria for air pollution and noise pollution, and the disaster aspect will consider the criteria for floods, landslides, and forest fires. The integration of Geographic Information Systems and Remote Sensing Technology will be carried out using Multi-Criteria Decision Analysis (MCDA). This study will produce recommendations for the appropriate area for the construction of health facilities on the island of Kalimantan. This study is expected to be a consideration for authorized parties in planning health facilities on the island of Kalimantan in preparation for becoming the Capital of the New Country in Indonesia.