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

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Abstrak

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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Program Studi Matematika, Fakultas MIPA, Universitas Udayana

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Program Studi Matematika, Fakultas MIPA, Universitas Udayana

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Program Studi Matematika, Fakultas MIPA, Universitas Udayana

Diterbitkan
2022-08-31
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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. Tersedia pada: <http://ojs.unud.ac.id/index.php/mtk/article/view/88372>. Tanggal Akses: 21 may 2026 doi: https://doi.org/10.24843/MTK.2022.v11.i03.p377.
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