Fortuna, Shellyn (2021) Asosiasi Karakteristik Sosio-Demografi Dan Keruangan Wilayah Terhadap Dinamika Kasus Covid-19 Di Kota Surabaya. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Kemunculan penyakit COVID-19 yang dideklarasikan sebagai pandemi menarik perhatian peneliti dari berbagai disiplin untuk mengkaji karakteristiknya. Berbagai penelitian menemukan bahwa perkembangan kasus COVID-19 terasosiasi dengan berbagai faktor, seperti sosio-demografi dan keruangan. Adapun demikian, pengaruh tersebut bersifat stokastik. Tugas akhir ini bertujuan untuk memahami asosiasi antara karakteristik sosio-demografi dan keruangan wilayah terhadap dinamika kasus COVID-19 di Kota Surabaya, salah satu wilayah yang menjadi episentrum COVID-19 di Indonesia. Penelitian ini dilakukan dengan menggunakan data COVID-19 pada bulan Maret hingga November 2020. Dengan menggunakan Moran’s Index, ditemukan bahwa persebaran COVID-19 di Kota Surabaya membentuk pola berkelompok. Asosiasi antara faktor sosio-demografi dan keruangan terhadap kasus COVID-19 yang dianalisis menggunakan Spearman Rank Correlation dan Kendall Tau menemukan bahwa variabel jumlah penduduk dan kepadatan penduduk berkorelasi positif secara signifikan, sementara jarak dari episentrum, jarak dengan pelabuhan, stasiun, dan pelabuhan berkorelasi negatif terhadap kasus COVID-19.
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The emergence of the COVID-19 pandemic attracted the attention of researchers from various disciplines to study its characteristics. Various studies have found that accumulating COVID-19 cases is associated with various factors, such as socio-demographic and spatial factors. This final project aims to understand the association between regional socio-demographic and spatial characteristics to the dynamics of COVID-19 in Surabaya City, one of the COVID-19 epicenters in Indonesia. This research uses the cumulative confirmed cases of COVID-19 from March to November 2020. Moran's Index revealed that COVID-19 cases show prominent clustering in Surabaya. The association between socio-demographic and spatial factors to the COVID-19 cases was explored using the Spearman Rank Correlation and Kendall Tau analysis. The results revealed that the population and population density were positively correlated to the cumulative confirmed cases of COVID-19. Meanwhile, the distance of the sub-district to the epicenter, ports, and stations were negatively correlated against cumulative confirmed cases of COVID-19.
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | COVID-19, Kelurahan, Pola Spasial, Asosiasi, Penduduk |
Subjects: | H Social Sciences > HT Communities. Classes. Races > HT166 City Planning--Environmental aspects R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine |
Divisions: | Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Regional & Urban Planning > 35201-(S1) Undergraduate Thesis |
Depositing User: | Shellyn Fortuna |
Date Deposited: | 15 Aug 2021 09:14 |
Last Modified: | 14 Jun 2024 07:42 |
URI: | http://repository.its.ac.id/id/eprint/86645 |
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