METODE ANALISIS REGRESI SPASIAL DALAM MEMODELKAN KASUS COVID-19 DI INDONESIA

DOI: https://doi.org/10.24843/MTK.2022.v11.i03.p377

Abstract

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.

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Author Biographies

NI MADE PUSPASARI, Universitas Udayana

Program Studi Matematika, Fakultas MIPA, Universitas Udayana

NI LUH PUTU SUCIPTAWATI, Universitas Udayana

Program Studi Matematika, Fakultas MIPA, Universitas Udayana

MADE SUSILAWATI, Universitas Udayana

Program Studi Matematika, Fakultas MIPA, Universitas Udayana

Published
2022-08-31
How to Cite
PUSPASARI, NI MADE; SUCIPTAWATI, NI LUH PUTU; SUSILAWATI, MADE. METODE ANALISIS REGRESI SPASIAL DALAM MEMODELKAN KASUS COVID-19 DI INDONESIA. E-Jurnal Matematika, [S.l.], v. 11, n. 3, p. 167-173, aug. 2022. ISSN 2303-1751. Available at: <https://ojs.unud.ac.id/index.php/mtk/article/view/88372>. Date accessed: 21 nov. 2024. doi: https://doi.org/10.24843/MTK.2022.v11.i03.p377.
Citation Formats
Issue
Vol 11 No 3 (2022)
Section
Articles
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

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