METODE ANALISIS REGRESI SPASIAL DALAM MEMODELKAN KASUS COVID-19 DI INDONESIA
| Main Authors: | PUSPASARI, NI MADE, SUCIPTAWATI, NI LUH PUTU, SUSILAWATI, MADE |
|---|---|
| Format: | Article info application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University
, 2022
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| Online Access: |
https://ojs.unud.ac.id/index.php/mtk/article/view/88372 https://ojs.unud.ac.id/index.php/mtk/article/view/88372/46364 |
Daftar Isi:
- Covid-19 is an infectious disease caused by Severe Acute Respiratory Syndrome Coronavirus 2. The transmission of Covid-19 has negative impact on every aspect. This study aimed to determine the factors that significantly affect the number of Covid-19 cases in Indonesia. Spatial regression analysis was used as the research method. The results obtained that on the dependent variable there is a spatial dependence, so the selected model is Spatial Autoregressive Model (SAR) with an AIC value of 759.09 and an value of 58.49%. The significant influencing factor is proportion of the population over 50 years old and open unemployment rate.
- Covid-19 is an infectious disease caused by Severe Acute Respiratory Syndrome Coronavirus 2. The transmission of Covid-19 has negative impact on every aspect. This study aimed to determine the factors that significantly affect the number of Covid-19 cases in Indonesia. Spatial regression analysis was used as the research method. The results obtained that on the dependent variable there is a spatial dependence, so the selected model is Spatial Autoregressive Model (SAR) with an AIC value of 759.09 and an value of 58.49%. The significant influencing factor is proportion of the population over 50 years old and open unemployment rate.