| Autor: |
Cahyawati, Dian, Fadilla, Dwi, Hanum, Herlina, Cahyono, Endro S., Dwipurwani, Oki |
| Předmět: |
|
| Zdroj: |
AIP Conference Proceedings; 7/26/2022, Vol. 2479 Issue 1, p1-10, 10p |
| Abstrakt: |
This article describes the results of the data analysis of Covid-19 case in the Ogan Ilir Regency of South Sumatera Province. There were some visualization graphs of similarity groups among 16 sub districts based on Covid-19 case categories. Visualization similarity was drawn on a biplot graph based on the name of sub districts and some Covid-19 case categories. The implementation of social activity restrictions from the government policy was referenced as a way to split the time periods in analyzing data. The first period was an initial time that the pandemic breakout, the next period was the period of some social activities restriction in a large-scale area in Indonesia, then the new normal period was the last period. The biplot graphs showed that there were various grouping of sub districts in every period of time. There were differences in sub districts grouping from period to period. The variance and the correlation between two of Covid-19 case categories differ from period to period as well. Nevertheless, there was a special note about some sub districts that tend to be solo groups separated from the other sub district groups in some periods. Those solo group of sub districts were namely Indralaya, Indralaya Utara, Pemulutan Selatan, and Sungai Pinang sub district. The various result of grouping sub districts indicates that the handling Covid-19 case should be done by the different ways for the different group. Those ways should consider the characteristics of sub district group in order to get the effective result in solving Covid-19 pandemic. The different way also should be considered for handling Covid-19 in.the solo group of sub district. These analysis results were the simple visualization of similarities among sub districts that should be deeply investigated. Next research could be done for explorating and predicting the probability of Covid-19 case categories using the others statistical method. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
|
