Pradana, Aji Sukma (2021) Analisis Pengaruh Faktor Iklim Terhadap Tingkat Kesembuhan Covid-19 di Provinsi Jawa Timur Menggunakan Metode Geographically and Temporally Weighted Gamma Regression. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Covid-19 merupakan penyakit yang diakibatkan oleh virus SARS-CoV-2. Udara yang ideal untuk pertumbuhan virus ini berada pada temperatur sekitar 8-10°C dengan kelembaban relatif udara 60-90%. Provinsi Jawa Timur memiliki tingkat kesembuhan kumulatif Covid-19 melebihi tingkat kesembuhan nasional yaitu sebesar 70,96%, angka tersebut sekaligus menjadi tingkat kesembuhan Covid-19 tertinggi di Pulau Jawa pada 8 Agustus 2020. Salah satu faktor yang diduga mempengaruhi tingkat kesembuhan Covid-19 adalah faktor iklim antara lain rata-rata temperatur, rata-rata kelembaban relatif udara, curah hujan, lamanya penyinaran matahari, dan rata-rata kecepatan angin. Tingkat kesembuhan Covid-19 di Provinsi Jawa Timur cenderung mengalami kenaikan pada Mei 2020 hingga Juli 2020 dan penurunan pada Juli 2020 hingga Nopember 2020. Penelitian ini dilakukan analisis secara spasial dan temporal menggunakan metode Regresi Gamma dan Geographically and Temporally Weighted Gamma Regression. Analisis Regresi Gamma menghasilkan bahwa faktor iklim yang berpengaruh signifikan terhadap tingkat kesembuhan Covid-19 di Provinsi Jawa Timur yaitu rata-rata temperatur, rata-rata kelembaban relatif udara, curah hujan, lamanya penyinaran matahari, dan rata-rata kecepatan angin. Hasil pemodelan menggunakan metode GTWGR menghasilkan bahwa faktor iklim yang berpengaruh signifikan terhadap tingkat kesembuhan Covid-19 di tiap daerah dan periode saling berbeda. Tiap daerah pada tiap periode minimal memiliki dua faktor iklim yang berpengaruh signifikan terhadap tingkat kesembuhan Covid-19.
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Covid-19 is a disease caused by SARS-CoV-2 virus. The ideal air for the growth of this virus is at a temperature of about 8-10 °C with a relative humidity of air 60-90%. East Java Province has a cumulative recovery rate of Covid-19 exceeding the national recovery rate of 70.96%, the number is also the highest recovery rate of Covid-19 in Java Island on August 8, 2020. One of the factors that is suspected to affect the recovery rate of Covid-19 is climate factors such as average temperature, average relative humidity of air, rainfall, duration of solar illumination, and average wind speed. The recovery rate of Covid-19 in East Java Province tends to increase in May 2020 to July 2020 and decrease in July 2020 to November 2020. This research was conducted spatial and temporal analysis using Gamma Regression and Geographically and Temporally Weighted Gamma Regression method. Gamma Regression analysis resulted in a significant impact on the recovery rate of Covid-19 in East Java Province such as average temperature, average relative humidity of air, rainfall, duration of solar illumination, and average wind speed. The modeling results using GTWGR method resulted in that climate factors that have a significant effect on the recovery rate of Covid-19 in each region and periods are different. Each region in each period has at least two climatic factors that have a significant effect on the recovery rate of Covid-19.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Uncontrolled Keywords: | Covid-19, Geographically and Temporally Weighted Gamma Regression, Climate, Spatial, Temporal, Recovey Rate, Covid-19, Geographically and Temporally Weighted Gamma Regression, Iklim, Spasial, Temporal, Tingkat Kesembuhan. |
| Subjects: | H Social Sciences > HA Statistics > HA30.6 Spatial analysis |
| Divisions: | Faculty of Science and Data Analytics (SCIENTICS) > Statistics > 49201-(S1) Undergraduate Thesis |
| Depositing User: | Aji Sukma Pradana |
| Date Deposited: | 30 Aug 2021 08:11 |
| Last Modified: | 30 Aug 2021 08:11 |
| URI: | http://repository.its.ac.id/id/eprint/90761 |
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