ANALISIS KARAKTERISTIK PERMUKIMAN UNTUK ESTIMASI TINGKAT KERENTANAN COVID-19 KOTA JAKARTA UTARA BERBASIS INFORMASI GEOGRAFIS

Oben Anderson, Yanto Budisusanto

Abstract


This study, an estimation of the vulnerability level of settlements in North Jakarta City was carried out based on the characteristics of settlements (population density, settlement density and accessibility to health centers), and a correlation test was carried out with positive cases of COVID-19 in North Jakarta City in 2020. This study was conducted using Geographic Information System (GIS) technology with spatial buffer, scoring and overlay analysis in estimating the level of vulnerability of the North Jakarta City area to COVID-19 and correlation test with Pearson's Product Moment. Based on the processing, there were 17 villages in the 'safe', 12 wards in the 'vulnerable' class, and 2 'very vulnerable' villages.

Keywords: COVID-19, Characteristics Analysis, Correlation, Housing, Vulnerability


Keywords


COVID-19, Characteristics Analysis, Correlation, Housing, Vulnerability

Full Text:

PDF Untitled

References


Carolina, I., Supriyatna, A., & Puspitasari, D. (2020, July). Analisa Tingkat Kepuasan Mahasiswa Terhadap Perkuliahan Daring Pada Era Pandemi Covid 19. In Prosiding Seminar Nasional Riset Information Science (SENARIS) (Vol. 2, pp. 342-347).

Higgs, G. (2004). A literature review of the use of GIS-based measures of access to health care services. Health Services and Outcomes Research Methodology, 5, 119-139.

Julianti, A. (2021). Kecemasan dan pembelian impulsif pada saat pandemi Covid-19. UG Journal, 14(12).

Listina, O., Solikhati, D. I. K., & Fatmah, I. S. (2020). Edukasi corona virus desease 19 (covid-19) melalui penyebaran poster kepada masyarakat kecamatan slawi kabupaten tegal. JABI: Jurnal Abdimas Bhakti Indonesia, 1(2), 10-10.

Merler, S., & Ajelli, M. (2010). The role of population heterogeneity and human mobility in the spread of pandemic influenza. Proceedings of the Royal Society B: Biological Sciences, 277(1681), 557-565.

Mulyani, A., Putri, M. H., Yuliastri, A., Karlina, A., & Muhtari, G. (2020). Literasi Digital Pandemi Corona Virus Desease-19 Masyarakat Desa Keresek. Jurnal PkM MIFTEK, 1(2), 68-72.

Nugraha, N. B., & Yuliati, T. (2021). Animasi 2D Corona Virus Desease 19 (Covid 19) Sebagai Media Edukasi Anak-Anak. Pixel: Jurnal Ilmiah Komputer Grafis, 14(2), 182-188.

Nurhidayati, E., & Fariz, T. R. (2021). Korelasi karakteristik fisik rumah dan tingkat kerentanan sosio-ekonomi di tepian sungai kapuas Pontianak. Jurnal Wilayah dan Lingkungan, 9(1), 50-62.

Purba, D., & Purba, M. (2022). Aplikasi Analisis Korelasi dan Regresi menggunakan Pearson Product Moment dan Simple Linear Regression. Citra Sains Teknologi, 1(2), 97-103.

Ramadhan, A., Tambunan, M. P., & Tambunan, R. P.(2022). Kajian Spasial Tingkat Kerentanan COVID-19 Di Kecamatan Pesanggrahan, Jakarta Selatan. Jurnal Geografi, Edukasi dan Lingkungan (JGEL) Vol. 6, No. 1, Januari 2022:58-73

Wahyudi, R. (2020). Analisis Pengaruh CAR, NPF, FDR, BOPO dan Inflasi terhadap Profitabilitas Perbankan Syariah di Indonesia: Studi Masa Pandemi Covid-19. At-Taqaddum, 12(1), 13-24.

Yudihartanti, Y. (2018). Analisa Korelasi Mata Kuliah Penelitian Dengan Tugas Akhir Menggunakan Model Product Moment. Progresif: Jurnal Ilmiah Komputer, 13(2).




DOI: https://doi.org/10.17509/k.v20i1.52341

Refbacks

  • There are currently no refbacks.


Copyright (c) 2022 Universitas Pendidikan Indonesia (UPI)

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Jurnal Teknik Sipil

KOKOH