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MODEL ANALYSIS OF THE SPREAD OF COVID-19 WITH LOGISTIC GROWTH RECRUITMENT

BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 17 No. 2 (2023) · hlm. 0887–0894

DOI
10.30598/barekengvol17iss2pp0887-0894
ISSN
2615-3017, 1978-7227
Terbit
2023-06-11
Penerbit
PATTIMURA UNIVERSITY
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

This paper to analyzes the COVID-19 model with the growth of the logistics recruitment rate. Based on the model determined, the non-endemic stability points, threshold, and endemic stability points are obtained. The nonendemic stability point is asymptotically stable if the spread of COVID-19 decreases and vice versa. If the spread of COVID-19 increases, then the endemic stability P1 is globally asymptotically stable. Based on numerical simulations, the greater the recruitment rate, then the greater the number of susceptible and vaccinated subpopulation individuals. The smaller the value of the contact rate between infected individuals and those who are still healthy, the lower the number of infected individuals and vice versa, while the number of recovered subpopulation individuals is increasing. The greater the rate of treatment, the lower the number of infected individuals.

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  • Cenderawasih University
  • State University of Semarang
  • Informatics and Business Institute Darmajaya
  • University of HKBP Nommensen
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Rekan penulisOrganisasiArtikel bersama
Hotlan SamosirCenderawasih University3
Tiurlina SiregarCenderawasih University2
Virman VirmanCenderawasih University2
Abraham AbrahamState University of Semarang2
St Aminah KadangCenderawasih University1
Parluji ParlujiAfiliasi tidak diketahui1
Sri Budi LestariInformatics and Business Institute Darmajaya1
HUMISAR BTPJ PASARIBUAfiliasi tidak diketahui1
Sakka IrawanAfiliasi tidak diketahui1
Yohana FransiskaAfiliasi tidak diketahui1
Yakobus MarrungAfiliasi tidak diketahui1
Albertina Nasri LoboCenderawasih University1
Nindia Ayu AsdaputriCenderawasih University1
Happy LumbantobingCenderawasih University1
Bajongga SilabanUniversity of HKBP Nommensen1
Maslan Lumban GaolCenderawasih University1
Fitriani TandililingCenderawasih University1
Ronaldo KhoCenderawasih University1
Alfonsus Simon DowengAfiliasi tidak diketahui1
Joko HariantoCenderawasih University1
Mira Aprilia MarcusCenderawasih University1
Abraham M.Si. AbrahamCenderawasih University1
Restika SamosirCenderawasih University1

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Sumber metadata: OAI-PMH (metadata jurnal) https://ojs3.unpatti.ac.id/index.php/barekeng/oai, pertama di-harvest 5 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc)
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	<dc:title xml:lang="en-US">MODEL ANALYSIS OF THE SPREAD OF COVID-19 WITH LOGISTIC GROWTH RECRUITMENT</dc:title>
	<dc:creator>Nainggolan, Jonner</dc:creator>
	<dc:description xml:lang="en-US">This paper to analyzes the COVID-19 model with the growth of the logistics recruitment rate. Based on the model determined, the non-endemic stability points, threshold, and endemic stability points are obtained. The nonendemic stability point is asymptotically stable if the spread of COVID-19 decreases and vice versa. If the spread of COVID-19 increases, then the endemic stability P1 is globally asymptotically stable. Based on numerical simulations, the greater the recruitment rate, then the greater the number of susceptible and vaccinated subpopulation individuals. The smaller the value of the contact rate between infected individuals and those who are still healthy, the lower the number of infected individuals and vice versa, while the number of recovered subpopulation individuals is increasing. The greater the rate of treatment, the lower the number of infected individuals.</dc:description>
	<dc:publisher xml:lang="en-US">PATTIMURA UNIVERSITY</dc:publisher>
	<dc:date>2023-06-11</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/7871</dc:identifier>
	<dc:identifier>10.30598/barekengvol17iss2pp0887-0894</dc:identifier>
	<dc:source xml:lang="en-US">BAREKENG: Jurnal Ilmu Matematika dan Terapan; Vol 17 No 2 (2023): BAREKENG: Journal of Mathematics and Its Applications; 0887-0894</dc:source>
	<dc:source>2615-3017</dc:source>
	<dc:source>1978-7227</dc:source>
	<dc:source>10.30598/barekengvol17iss2year2023</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/7871/5950</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2023 Jonner - Nainggolan</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>