Geospatial-Based Information Systems Model for Disaster Management of Reproductive Health
Abstract
Indonesia is a disaster-prone area, but it is often found that the response process is slow at the very beginning of a disaster. Furthermore, disasters are often unpredictable. Therefore, simulation of preparedness, mitigation, and disaster management should be conducted continuously and systematically, both in manual and electronic manner by utilizing advance technology in geospatial. The aim of this study to develop a model of geospatial-based information systems in disaster management of reproductive health sub-cluster (SIGAB KESPRO BISA) in Nusa Tenggara Barat. Data collection was conducted through in-depth interviews with several stakeholders. To complete the methodological approach and to obtain the system requirement, a content analysis was done toward in-depth interviews result. The research continued with the development of information system models. The analysis results by in-depth interview indicate the availability of infrastructure and the importance of the system offered. The SIGAB KESPRO BISA model needs to be composed of three main functions, namely preparedness and mitigation systems, logistics distribution, and reproductive health services. The design of the SIGAB KESPRO BISA model has been built to facilitate the process of developing the SIGAB KESPRO BISA application system so that disaster management can be carried out with high effectiveness and efficiency.
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2. Pu R. A Special Issue of Geosciences: Mapping and Assessing Natural Disasters Using Geospatial Technologies. Geosciences. 2017;7(1):13–15.
3. Nyimbili PH, Erden T. Spatial Decision Support Systems (SDSS) and Software Applications for Earthquake Disaster Management with Special Reference to Turkey. Natural Hazards. [Online Journal]. 2018;90(3):1485–1507. Available at: https://doi.org/10.1007/s11069-017-3089-7
4. Winandari MIR. Public Open Space for Disaster Mitigation in Tangerang Housing Estates. IOP Conference Series Earth and Environmental Science. 2018;106(1):1-6.
5. Kusumastuti RD, Viverita, Husodo ZA, Suardi L, Danarsari DN. Developing a Resilience Index Towards Natural Disasters in Indonesia. International Journal of Disaster Risk Reduction. [Online Journal] 2014;10(Part A):327–340. Available at: http://dx.doi.org/10.1016/j.ijdrr.2014.10.007
6. Kemenkes RI. Paket Pelayanan Awal Minimum (PPAM) Kesehatan Reproduksi Remaja pada Situasi Krisis Kesehatan. Jakarta: Dirjen Kesehatan Masyarakat Kementerian Kesehatan RI; 2018.
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8. Depkes RI. Update Bencana Sulawesi Tengah. [Report]. Jakarta: Departemen Kesehatan RI; 2018. [Diakses pada 16 Februari].
9. Gowan ME, Sloan JA, Kirk RC. Prepared for What? Addressing the Disaster Readiness Gap Beyond Preparedness for Survival. BMC Public Health. 2015;15(1139):1–5.
10. Hein W, Wilson C, Lee B, Rajapaksa D, de Moel H, Athukorala W, et al. Climate Change and Natural Disasters: Government Mitigation Activities and Public Property Demand Response. Land Use Policy. [Online Journal]. 2019;82(March 2019):436–443. Available at: https://doi.org/10.1016/j.landusepol.2018.12.026
11. Peraturan Pemerintah RI. Undang-Undang Nomor 24 Tahun 2007 tentang Penanggulangan Bencana. Jakarta: Peraturan Pemerintah Republik Indonesia; 2007.
12. Gueye LA, Keita MS, Akinyede JO, Kufoniyi O, Erin G. Development of a Cartographic Strategy and Geospatial Services for Disaster Early Warning and Mitigation in the Ecowas Subregion. The International Archives Photogrammetry, Remote Sensing and Spatial Information Sciences. 2015;40:203–209.
13. Kawasaki A, Berman ML, Guan W. The growing role of web-based geospatial technology in disaster response and support. Disasters 2013;37(2):203–209.
14. Kemenkes RI. Paket Pelayanan Awal Minimum (PPAM) Kesehatan Reproduksi Pada Situasi Krisis Kesehatan. Jakarta: Dirjen Kesehatan Masyarakat Kementerian Kesehatan RI; 2017.
15. Kemenkes RI. Pedoman Dukungan Logistik Paket Pelayanan Awal Minimum Kesehatan Reproduksi Pada Situasi Krisis Kesehatan. Jakarta: Dirjen Kesehatan Masyarakat Kementerian Kesehatan RI; 2017.
16. Everett GD, McLeod R. Software Testing: Testing Across the Entire Software Development Life Cycle. Wiley-IEEE Computer Society Pr, 1 Edition; 2006.
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20. Masuya A, Dewan A, Corner RJ. Population Evacuation: Evaluating Spatial Distribution of Flood Shelters and Vulnerable Residential Units in Dhaka with Geographic Information Systems. Natural Hazards. [Online Journal]. 2015;78(3):1859–1882. Available at: https://doi.org/10.1007/s11069-015-1802-y
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22. Haworth B, Bruce E. A Review of Volunteered Geographic Information for Disaster Management. Geography Compass. [Online Journal]. 2015;9(5):237–250. Available at: http://doi.wiley.com/10.1111/gec3.12213
23. Murphy RR. Emergency Informatics: Using Computing to Improve Disaster Management. IEEE Computer Society. 2016;49(5):19–27.
24. Ai F, Comfort LK, Dong Y, Znati T. A Dynamic Decision Support System Based on Geographical Information and Mobile Social Networks: A Model for Tsunami Risk Mitigation in Padang, Indonesia. Safety Science. 2016;90(Desember):62–74. Available at: https://doi.org/10.1016/j.ssci.2015.09.022
25. Muhammad F, Hadi A, Irfan D. Pengembangan Sistem Informasi Panduan Mitigasi Bencana Alam Provinsi Sumatera Barat Berbasis Android. Jurnal Teknologi Informasi dan Pendidikan. 2018;11(1):27–42.
Authors
Hadi, M. S., Hastono, S. P., Siregar, K. N., & Ayuningtyas, D. (2020). Geospatial-Based Information Systems Model for Disaster Management of Reproductive Health. Media Kesehatan Masyarakat Indonesia, 16(1), 62-75. https://doi.org/10.30597/mkmi.v16i1.8780
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