Model Epidemik SIR pada Kasus Covid-19 di Provinsi Sumatera Utara
Abstract
COVID-19 yang berasal dari virus SARS-CoV-2, telah menjadi pandemi global sejak tahun 2020 dan menjadi endemik pada awal tahun 2023. Penelitian ini bertujuan untuk memodelkan penyebaran COVID-19 di Provinsi Sumatera Utara dengan menggunakan model SIR (Suspected, Infected, Removed). Model SIR yang dikembangkan oleh Kermack dan McKendrik digunakan untuk membagi populasi menjadi tiga kelompok: berpotensi terinfeksi (Suspected), terinfeksi (Infected) dan pulih/meninggal (Removed). Model matematika ini telah banyak digunakan dalam studi penyebaran COVID-19. Kajian ini menggunakan data yang diperoleh dari Kementerian Kesehatan RI selama kurun waktu 1 tahun 8 bulan, terhitung sejak Januari 2022 hingga September 2022. Data tersebut meliputi jumlah kasus COVID-19 dan status pasien di Provinsi Sumatera Utara. Dengan menggunakan model SIR, dimungkinkan untuk memprediksi penyebaran penyakit COVID-19 di antara penduduk di Sumatera Utara.
Full text article
References
Abolmaali, S., & Shirzaei, S. (2021). A comparative study of SIR Model, Linear Regression, Logistic Function and ARIMA Model for forecasting COVID-19 cases. AIMS Public Health, 8(4), 598613. https://doi.org/10.3934/PUBLICHEALTH.2021048
Adi-kusumo, F., & Susyanto, N. (2020). Model Berbasis Sir Dalam Prediksi Awal Penyebaran Covid-19 Di Daerah Istimewa Yogyakarta (Diy) (Sir-Based Model in Predicting the Early Outbreak of Covid-19 in the Special Region of Yogyakarta (Diy)). 02, 1.
Akyildiz, F. T., & Alshammari, F. S. (2021). Complex mathematical SIR model for spreading of COVID-19 virus with Mittag-Leffler kernel. Advances in Difference Equations, 2021(1), 1–17. https://doi.org/10.1186/s13662-021-03470-1
Algehyne, E. A. (2020). Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID- 19 . The COVID-19 resource centre is hosted on Elsevier Connect , the company ’ s public news and information website . Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories , such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source . These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active . Mathematical analysis of COVID-19 by using SIR model with convex incidence rate. January.
AlQadi, H., & Bani-Yaghoub, M. (2022). Incorporating global dynamics to improve the accuracy of disease models: Example of a COVID-19 SIR model. PLoS ONE, 17(4 April), 1–15. https://doi.org/10.1371/journal.pone.0265815
Birokrasi, K. P. A. N. dan R. (2023). Indonesia telah Bergerak Menuju Endemi COVID-19. https://www.menpan.go.id/site/berita-terkini/berita-daerah/indonesia-telah-bergerak-menuju-endemi-covid-19
Irwan, M., Pathuddin, H., & Jalil, E. (2020). Model Epidemik Sir Pada Kasus Covid-19 Di Indonesia. Jurnal MSA ( Matematika Dan Statistika Serta Aplikasinya ), 8(2), 83. https://doi.org/10.24252/msa.v8i2.14613
Leleury, Z. A., Rijoly, M. E., & Risamena, F. M. (2022). Analisis Stabilitas Model Sir ( Susceptibles , Infected , Recovered ) Pada Penyebaran Virus Covid-19 Di Kota Ambon. 06(02), 159–169.
Mu`tamar, K., Putra, S., & Perdana, S. A. (2021). Analisis Penyebaran Covid-19 Dengan Menggunakan Model Sir Dan Vaksinasi Serta Estimasi Parameter. BAREKENG: Jurnal Ilmu Matematika Dan Terapan, 15(2), 323–334. https://doi.org/10.30598/barekengvol15iss2pp323-334
Munir, R. (2010). Metode numerik (Revisi 3). Informatika Bandung.
Organization, W. H. (n.d.). Coronavirus disease (COVID-19). https://www.who.int/health-topics/coronavirus#tab=tab_1
Simha, A., Prasad, R. V., & Narayana, S. (2020). A simple Stochastic SIR model for COVID 19 Infection Dynamics for Karnataka: Learning from Europe. April. http://arxiv.org/abs/2003.11920
Authors
Copyright (c) 2022 Miclyael - Luge, Rahman Wahabi Hasibuan

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work