Integration of Participatory Mapping, Crowdsourcing and Geographic Information System in Flood Disaster Management (Case Study Ciledug Lor, Cirebon)

Moh. Dede, Millary Agung Widiawaty, Galuh Putri Pramulatsih, Arif Ismail, Amniar Ati, Hendro Murtianto

Abstract

Ciledug Lor is a flood-prone area in Cirebon Regency. Flood disaster management can empower the community through participatory mapping and crowdsourcing activities. This study aims to analyze the level of floods, threats, vulnerabilities, capacities, risks and refuge locations in Ciledug Lor Village based on participatory mapping, crowdsourcing, and GIS. Various indicators of threat, vulnerability, and flood capacity are obtained from field surveys, open data and official data that have been given a value and weight which are then processed using overlay analysis to obtain flood risk parameters. Determination of refuge locations used network analysis to find out the route, distance, and effective time. The results analysis and modeling showed the average flood level in Ciledug Lor reached 2.27 meters. The refugee location for Dusun Pamosongan and Dusun Kampung Baru are to the north close to the railway tracks. Meanwhile, Dusun Karanganyar and Dusun Genggong are in the Ciledug Bus Terminal. In the future, participatory mapping, crowdsourcing, and GIS are expected to build awareness and resilience of disaster

Keywords


Crowdsourcing; Flood disaster management; GIS; Participatory mapping

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References

P. Wallemacq and R. House, Economic Losses, Poverty & Disasters: 1998-2017. Geneva: UNDRR & CRED, 2018.

R. Choularton. (2001). Complex learning: organizational learning from disasters. Safety Science 21, pp. 61–70.

APJII, Penetrasi dan Profil Perilaku Pengguna Internet Indonesia. Jakarta: APJII & Polling Indonesia, 2019.

M. Airlangga, Indonesia Digital Landscape 2018. Jakarta: GDP Venture, 2018.

BNPB, Laporan Kinerja Badan Nasional Penanggulangan Bencana. Jakarta: Pusdatin BNPB, 2017.

P. Lestari, B. Ramadhaniyanto and D, Waryaningrum. (2018). Pemberitaan di media online untuk pengurangan risiko bencana Gunung Sinabung. Jurnal Kajian Komunikasi, pp. 106–120.

N. Rizqihandari, R. C. Restuti and F. Hashilah. (2016). Strategi dan koordinasi kebijakan penguatan kapasitas masyarakat dalam pengurangan risiko bencana. Presented at Pertemuan Ilmiah Tahunan Riset Kebencanaan III, Bandung.

C. Orchiston, E H. Doyle, D. Johnston, J. Becker, K. Crowley, E. Lambie and D. Neely, Citizen Science in Disaster Risk Management Workshop. Wellington: Wellington Regional Emergency Management, 2016.

N. Sonck and H. Fernee, Using Smartphones in Survey Research: a Multifunctional Tool. Den Haag: The Netherlands Institute for Social Research, 2013.

A. M. Al-Hamd, “Mobile Mapping Using Smartphones,” Master Thesis, Graduate Program in Geomatics Engineering, University of Calgary, 2014.

C. Schwegmann, Open Data in Developing Countries. Brussel: ePSI Platform, 2012.

R. Fisher, S. Hobgen, N. R. Kaho and I. Mandaya, Satellite Image Analysis and Terrain Modelling: Buku Panduan Geospasial Gratis untuk Pengelolaan Sumber Daya Alam, Risiko Bencana, dan Perencanaan Pembangunan dengan SAGA GIS. Darwin: Charles Darwin University, 2017.

J. D. Paul, W. Buytaert, S. Allen, J. A. Ballesteros-Cavonas, J. Bhusal, K. Cieslik, J. Clark, S. Dugar, D. M. Hannah, M. Stoffel, A. Dewulf, M. R. Dhital, W. Liu, J. L. Nayaval, B. Neupane, A. Schiller, P. J. Smith and R. Supper. (2017). Citizen science for hydrological risk reduction and resilience building. WIREs Water 5, pp. e1262.

M. A. Widiawaty, Mari Mengenal Sains Informasi Geografis. Bandung: Aria Mandiri Group, 2019.

M. M. Ar-Rahiem, M. M. (2019, August). Urun Daya dalam Sains. [Online]. Available: http://malikarrahiem.com/urun-daya-dalam-sains.

A. Ismail, A. R. Afriani, S. Himayah and Y. Malik. (2019). Partcipatory mapping for community-based watershed management, lesson learn from Central Java and West Nusa Tenggara. IOP Conference Series: Earth and Environmental Science 286, pp. 012024.

L. See, P. Mooney, G. Foody, L. Bastin, A. Comber, J. Estima, S. Fritz, N. Kerle, B. Jiang, M. Laakso, H. Liu, G. Milcinski, M. Niksic, M. Painho, A. Podor, A. Olteanu-Raimond and M. Rutzinger. (2016). Crowdsourcing, citizen science or volunteered geographic information? the current state of crowdsourced. ISPRS Int. J. Geo-Inf. 5(55).

Sudaryatno, D. Awanda and S. E. Pratiwi. (2017). Participatory mapping for flood disaster zoning based on World View-2 data in Long Beluah, North Kalimantan Province. IOP Conference Series: Earth and Environmental Science 98, pp. 012011.

M. A. Widiawaty and M. Dede. (2018). Pemodelan spasial bahaya dan kerentanan bencana banjir di wilayah timur Kabupaten Cirebon. Jurnal Dialog Penanggulangan Bencana 9(2), pp. 142–153.

WMO, Crisis Mapping and Crowdsourcing in Flood Management. Geneva: World Meteorological Organization, 2017.

M. A. Widiawaty, M. Dede and I. Ismail. (2018). Comparative study modeling of ground water using geographic information system in Kayuambon Village, Bandung Barat Regency. Jurnal Geografi Gea 18(1), pp. 63–71.

A. Haghizadeh, S. Siahkamari, A. H. Haghiabi and O. Rahmati. (2017). Forecasting flood-prone area using Shannon's entropy model. J. Earth Syst. Sci., pp. 26–39.

IPCC, Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaption. Cambridge: Cambridge University Press, 2012.

J. Twigg, Disaster Risk Reduction: Mitigation Preparedness in Development and Emergency Programming. London: ODI, 2004.

M. D. Mauro. (2014). Quantifying risk before disaster occur: hazard information for probabilistic risk assesment. WMO Bulletin 63(2).

T. Athan, R. Blazek and G. C. O. Dassau, QGIS User Guide / Manual. Boston: Free Software Foundation, 2014.

LPBPI-NU, Penyusunan Peta Risiko. Jakarta: LPBPI-NU, HOT OSM, dan BMInovation, 2017.

H. V. Voort and H. de Bruijn. (2009). Learning from disasters: competing perspective tragedy. IEEE Technology and Society Magz., pp. 28–26.




DOI: http://dx.doi.org/10.30818/jitu.2.2.2555

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