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All Journal Jurnal Kesehatan Masyarakat El-Jughrafiyah : Jurnal Geografi dan Terapannya Jurnal Teknik, Komputer, Agroteknologi dan Sains Innovative: Journal Of Social Science Research Venus: Jurnal Publikasi Rumpun Ilmu Teknik
Dwi Arini
Institut Teknologi Padang
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Education Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Physics Public Health Social Sciences Other

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Journal : Jurnal Kesehatan Masyarakat

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The Spatial Pattern of the Spread of the COVID-19 Pandemic (Case Study: DKI Jakarta Province) Dwi Arini; Agung Syetiawan; Eliza Nanda Pitria; Ilham Armi
Jurnal Kesehatan Masyarakat Vol 19, No 1 (2023)
Publisher : Department of Public Health, Faculty of Sport Science, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/kemas.v19i1.34015

Abstract

The COVID-19 pandemic has been running in Indonesia for more than two years. The first case was found in March 2020. DKI Jakarta as the capital city of the country with a high population density and an economic center that was threatened because the area has a high vulnerability to the spread of COVID-19. The number of confirmed cases that continue to soar and the spread that is difficult to be controlled have resulted in the DKI Jakarta government taking policies such as implementing large-scale social restrictions (PSBB), which aims to stop the spread of COVID-19 and to look for patterns of spread of COVID-19. This study uses a geographic information system in looking for patterns of the spread of COVID-19. The analytical method used is spatial autocorrelation, which is carried out using the Moran Index. In addition, the autocorrelation test was also carried out using a Local Indicator of Spatial Autocorrelation (LISA) with the results in the form of a cluster map and a map of significance. The Ordinary Least Squares analysis method is a regression technique that provides a global model for understanding and predicting variables in research. The correlation variables used in this research are Markets, Supermarkets, Buses, and Stations. The result of this study is the spatial autocorrelation of the pattern of spread of COVID-19 between villages and spatially the distribution pattern is clustered. In the OLS regression distribution pattern, the supermarket variable with an R-Squared value of 0.128555 or 12% affects the spread of COVID-19. Based on the calculation of R-Square, Koenker (BP) in addition to the OLS model, the assumption of homoscedasticity is not met, so the model is Ordinary Least Squares not good compared to other models in analyzing the pattern of the spread of COVID-19 in DKI Jakarta. 
Co-Authors Ade Fernando Agung Syetiawan Defwaldi Defwaldi Dira Muvianti Warman Dwi Marsiska Driptufanny Dwi Marsiska Driptufany Eliza Nanda Pitria Fajrin Fajrin Ferji Divia Ilham Armi Isra Iza Mahendra Martince Novianti Bani Monalisa Perwanda Quinoza Guvil Saiyidinal Fikri Sayidinal Fikri Sherly Wahyulia Silvina Mayang Sari Susilo Susilo