skip to main content

Open Government Data in Pandemic Disease: Encouraging Spatial Policy-Making in East Java and Jakarta

*Arga Pribadi Imawan  -  Department of Politics and Government, Faculty of Social and Political Sciences, Universitas Gadjah Mada. Jl. Bulaksumur, Caturtunggal, Kec. Depok, Kabupaten Sleman, Daerah Istimewa Yogyakarta, Indonesia 55281|Universitas Gadjah Mada|Indonesia, Indonesia
Rifqi Fathurrahman  -  Geographic Information System (GIS) Officer, Solidaridad Indonesia. Jl. Buncit Raya No.55, RT.2/RW.2, Duren Tiga, Kec. Pancoran, Kota Jakarta Selatan, Daerah Khusus Ibukota Jakarta, Indonesia 12760|Solidaridad Indonesia|Indonesia, Indonesia

Citation Format:
Abstract

This article aims to elaborate on whether the openness of spatial data by the government has an implication for the formulation of government policies. The case was taken in two provinces, namely the East Java provincial and the Special Capital Region (DKI) Jakarta. The case study method was conducted by referring to a database of documents, journals, news and books relating to the spatial data visualization and provincial government policies. ArcGis application is also used as one method of presenting data. As a result of the elaboration by using the concept of models open government data (OGD) and spatial policy-making, this article discovers facts that models of OGD in East Java are at the four-stage which is data integration between government and social data. However, DKI Jakarta shows the stage of OGD models is in integration government data stage. Both provincial showed that the policy-formulation for Covid-19 are not based on spatial data. Therefore, it can be assumed policy for handling Covid-19 is not effective. Both of provinces shows continually increasing cases of Covid-19 positive patients. These two provinces are predicated as the highest level of Covid-19 cases in Indonesia. From a practical point of view, Indonesia needs to implementing spatial data-based policies to break the Covid-19 chain, as this kind of policy orientation has been successfully implemented by Taiwan which has been successful tackling Covid-19.

Fulltext View|Download
Keywords: Open Government Data; Pandemic Disease; Policy Making; Spatial Data

Article Metrics:

  1. Alamo, T., Reina, D. G., Mammarella, M., & Abella, A. (2020). Open Data Resources for Fighting COVID-19. 1–30. http://arxiv.org/abs/2004.06111
  2. Alexopoulos, C., Zuiderwijk, A., & Charapabidis, Y. (2014). Designing a Second Generation of Open Data Platforms : Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 230–241. https://doi.org/10.1007/978-3-662-44426-9
  3. Bertot, J. C., Gorham, U., Jaeger, P. T., Sarin, L. C., & Choi, H. (2014). Big data, open government and e-government: Issues, policies and recommendations. Information Polity, 19(1–2), 5–16. https://doi.org/10.3233/IP-140328
  4. Broga, D. (2020, March 31). How Taiwan used tech to fight COVID-19. Accessed in https://www.techuk.org/insights/news/item/17187-how-taiwan-used-tech-to-fight-covid-19
  5. Chan, C. M. L. (2013). From open data to open innovation strategies: Creating e-services using open government data. Proceedings of the Annual Hawaii International Conference on System Sciences, 1890–1899. https://doi.org/10.1109/HICSS.2013.236
  6. CNN Indonesia (2020 April 19). Bahas PSBB, Khofifah Panggil 3 Kepala Daerah di Jatim. Retrieved from https://www.cnnindonesia.com/nasional/20200419012336-20-494900/bahas-psbb-khofifah-panggil-3-kepala-daerah-di-jatim
  7. Davies, T. (2010). Open data, democracy and public sector reform: A look at open government data use from data. gov. uk. 1–47. http://www.opendataimpacts.net/report/
  8. Davoudi, S. (2006). Evidence-based planning: Rhetoric and reality. Disp, 165(2), 14–24. https://doi.org/10.1080/02513625.2006.10556951
  9. Detik.com (2020, May 29). Sebaran 25.216 Kasus Positif Corona Per 29 Mei, DKI-Jatim Masih Terbanyak. Retrieved from https://news.detik.com/berita/d-5033583/sebaran-25216-kasus-positif-corona-per-29-mei-dki-jatim-masih-terbanyak
  10. Diskominfotik DKI Jakarta (tta). Peta Persebaran Positif Covid-19. Retrieved from https://corona.jakarta.go.id/id/peta-persebaran
  11. Dühr, S., & Müller, A. (2012). The Role of Spatial Data and Spatial Information in Strategic Spatial Planning. Regional Studies, 46(4), 423–428. https://doi.org/10.1080/00343404.2012.669535
  12. Dühr, S. (2007). The visual language of spatial planning: exploring cartographic representations for spatial planning in Europe. Routledge
  13. Dühr, S., Colomb, C., & Nadin, V. (2010). European spatial planning and territorial cooperation. Routledge
  14. Gaberell, S., & Debarbieux, B. (2014). Mapping regions, framing projects. A comparative analysis on the role of mapping in the region-building process of two European regions. Geoforum, 52, 123–136. https://doi.org/10.1016/j.geoforum.2014.01.004
  15. Haliem, B. (2020, April 24). Pemprov Jatim berlakukan PSBB Surabaya, Gresik & Sidoarjo mulai 28 April. Retrieved from https://regional.kontan.co.id/news/pemprov-jatim-berlakukan-psbb-surabaya-gresik-sidoarjo-mulai-28-april
  16. Hanggara, A., G (tt). Linimasa Kebijakan Penanganan Pandemi Covid-19 di Jakarta. Retrieved from https://smartcity.jakarta.go.id/blog/507/linimasa-kebijakan-penanganan-pandemi-covid-19-di-jakarta
  17. Janusz, J. (2016). Toward the quality assessment of multi-criteria data in planning for housing areas. The Sustainable City XI, 1(Sc), 105–116. https://doi.org/10.2495/sc160101
  18. Kalampokis, E., Tambouris, E., & Tarabanis, K. (2011a). A classification scheme for open government data: Towards linking decentralised data. International Journal of Web Engineering and Technology, 6(3), 266–285. https://doi.org/10.1504/IJWET.2011.040725
  19. Kalampokis, E., Tambouris, E., & Tarabanis, K. (2011b). Open government data: A stage model. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6846 LNCS, 235–246. https://doi.org/10.1007/978-3-642-22878-0_20
  20. Kassen, M. (2013). A promising phenomenon of open data: A case study of the Chicago open data project. Government Information Quarterly, 30(4), 508–513. https://doi.org/10.1016/j.giq.2013.05.012
  21. Kompas.com (2020, April 14). Pemkot Surabaya Masih Mengkaji Kebijakan PSBB. Retrieved from https://www.kompas.tv/article/76071/pemkot-surabaya-masih-mengkaji-kebijakan-psbb
  22. Kompas.tv (2020, April 19). Pasien Positif Corona Meningkat, Gubernur Jatim akan Ajukan PSBB ke Menteri Kesehatan. Retrieved from https://www.youtube.com/watch?v=4Ba4EIN2T10
  23. Kompas.tv (2020, April 21). Gubernur Khofifah Ajukan PSBB untuk Surabaya, Sidoarjo & Gresik. Retrieved from https://www.youtube.com/watch?v=d48GnnQZPgA
  24. Kompas.tv (2020, April 6). Soal Kendala Penanganan Covid-19 di Jawa Timur, Seperti Apa?. Retrieved from https://www.youtube.com/watch?v=ExACHkZtAFA
  25. Mahendro, A. (2020, April 3). Pemprov Jatim Rilis Whatsapp Radar Covid-19. Retrieved from https://www.gatra.com/detail/news/474273/info-pemda/pemprov-jatim-rilis-whatsapp-radar-covid-19
  26. Organization for Economic Co-operation and Development – OECD (tt). Open Goverment Data. Accessed in https://www.oecd.org/gov/digital-government/open-government-data.htm
  27. Pereira, G. V., Macadar, M. A., Luciano, E. M., & Testa, M. G. (2017). Delivering public value through open government data initiatives in a Smart City context. Information Systems Frontiers, 19(2), 213–229. https://doi.org/10.1007/s10796-016-9673-7
  28. Pickles, J. (1995). Representation in an electronic age: geography, GIS and democracy'in Pickles, J.(ed) Ground Truth: The social implication of Geographic Information Systems
  29. Sari., N. (2020, March 3). Berbagai Kebijakan Pemprov DKI Hadapi Covid-19 Dalam Sepekan Terakhir. Retrieved from https://megapolitan.kompas.com/read/2020/03/20/11082501/berbagai-kebijakan-pemprov-dki-hadapi-covid-19-dalam-sepekan-terakhir
  30. TPradipha, F., C (2020, May 28). Sederet Kebijakan Pemprov DKI Jakarta Tangani Covid-19 Sejak Januari: Bulan Maret Terbanyak. Retrieved from https://www.tribunnews.com/metropolitan/2020/05/28/sederet-kebijakan-pemprov-dki-jakarta-tangani-covid-19-sejak-januari-bulan-maret-terbanyak
  31. Ubaldi, B. (2013). Open government data. oecd-ilibrary.org. Accessed in https://testdata.gov.hr/sites/default/files/library/5k46bj4f03s7.pdf
  32. Veljković, N., Bogdanović-Dinić, S., & Stoimenov, L. (2014). Benchmarking open government: An open data perspective. Government Information Quarterly, 31(2), 278–290. https://doi.org/10.1016/j.giq.2013.10.011
  33. Veregin, H. (1995). Computer innovation and adoption in Geography. In Ground truth: The social implications of geographic information systems (p. 101). Guilford New York
  34. Widiyani, R. (2020, April 15). Update Mudah Data Virus Corona di Jawa Timur, Cek di Radar Covid 19 Jatim. Retrieved from https://news.detik.com/berita/d-4977987/update-mudah-data-virus-corona-di-jawa-timur-cek-di-radar-covid-19-jatim
  35. Yin, R. K. (2003). Case study research: design and methods (ed.). Thousand Oaks
  36. Yunianto, T., K. (2020, April 7). PSBB Disetujui Menkes, Dishub Jakarta Pastikan Tak Tutup Akses Jalan. Retrieved from https://katadata.co.id/berita/2020/04/07/psbb-disetujui-menkes-dishub-jakarta-pastikan-tak-tutup-akses-jalan
  37. Zaucha, J. (2012). Offshore Spatial Information - Maritime Spatial Planning in Poland. Regional Studies, 46(4), 459–473. https://doi.org/10.1080/00343404.2012.668615
  38. Zhou, C., Su, F., Pei, T., Zhang, A., Du, Y., Luo, B., Cao, Z., Wang, J., Yuan, W., Zhu, Y., Song, C., Chen, J., Xu, J., Li, F., Ma, T., Jiang, L., Yan, F., Yi, J., Hu, Y., … Xiao, H. (2020). COVID-19: Challenges to GIS with Big Data. Geography and Sustainability, 1(1), 77–87. https://doi.org/10.1016/j.geosus.2020.03.005
  39. Zuiderwijk, A., & Janssen, M. (2014). The negative effects of open government data - Investigating the dark side of open data. ACM International Conference Proceeding Series, 147–152. https://doi.org/10.1145/2612733.2612761

Last update:

  1. Dashboard design for Key Performance Indicators visualization of STEAM government initiatives: A case study

    Bryan Usias Catalino Piquet, Horus Alejandro Hernandez Cabrera, Jose Guillermo Hernandez-Calderon, Luis Gerardo Montane-Jimenez, Valeria Soto-Mendoza. Proceedings of the XI Latin American Conference on Human Computer Interaction, 2023. doi: 10.1145/3630970.3631044

Last update: 2024-11-24 07:20:36

No citation recorded.