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Simulasi numerik model matematika untuk menganalisis relasi antara korupsi dan dinamika penyebaran penyakit menular

Jambura Journal of Biomathematics (JJBM) · Vol. ume (2022) · hlm. 12–16

DOI
10.34312/jjbm.v3i1.14187
ISSN
2723-0317
Terbit
2022-06-28
Penerbit
Department of Mathematics, Universitas Negeri Gorontalo
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-nc/4.0

Abstrak

A mathematical model has been widely used to understand complex phenomena in biology, social, and politics. A number of mathematical model has been formulated to understand infectious diseases or corruption phenomena. However, to the best of our knowledge, none of the work has has been conducted to investigate the relation of corruption and transmission dynamics of infectious diseases. In this work, a structured model in the form of system of differential equations has been formulated to investigate the relation between corruption and transmission dynamics of infectious diseases. In this work, a novel mathematical model has been formulated to investigate the relation between corruption and the transmission dynamics of infectious diseases. The results showed that in the presence of corruption the number of infections is higher compared to that in the absence of corruption. Although the implementation of public health intervention can reduce the number of infections, the presence of corruption can increase the disease incidence. This implies that corruption potentially hinder the effort for disease elimination. Numerical simulations showed that in the absence of corruption, the level of efficacy of public health intervention can reduce the number of infections. It showed that 80% efficacy level can eliminate the disease cases, which cannot be achieved in the presence of corruption. The results suggest that the corruption should be minimized in order to achieve disease elimination. When data becomes available, the model would be validated against the data.

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  • University of Nusa Cendana
  • Padjadjaran University
  • Universitas Ahmad Dahlan
  • University of Timor
  • Institut Teknologi Sepuluh Nopember
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Rekan penulisOrganisasiArtikel bersama
Asep Kuswandi SupriatnaPadjadjaran University2
Esther Y. BungaUniversity of Nusa Cendana1
Yudi Ari AdiUniversitas Ahmad Dahlan1
Bertha Selviana DjahiUniversity of Nusa Cendana1
Nursanti AnggrianiPadjadjaran University1
Panji Fortuna HadisoemartoPadjadjaran University1
Dwi AgustianPadjadjaran University1
Maria Agustina KledenUniversity of Nusa Cendana1
Ervin Mawo BanniUniversity of Nusa Cendana1
Maria LoboUniversity of Nusa Cendana1
Siprianus Septian ManekInstitut Teknologi Sepuluh Nopember1
Dian Grace LudjiUniversity of Timor1
Roberta Uron HuritAfiliasi tidak diketahui1

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Sumber metadata: OAI-PMH (metadata jurnal) http://ejurnal.ung.ac.id/index.php/JJBM/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Simulasi numerik model matematika untuk menganalisis relasi antara korupsi dan dinamika penyebaran penyakit menular</dc:title>
	<dc:creator>Radja, Julieta B.A.</dc:creator>
	<dc:creator>Ndii, Meksianis Zadrak</dc:creator>
	<dc:subject xml:lang="en-US">Mathematical Model; Corruption; Numerical Simulation</dc:subject>
	<dc:description xml:lang="en-US">A mathematical model has been widely used to understand complex phenomena in biology, social, and politics. A number of mathematical model has been formulated to understand infectious diseases or corruption phenomena. However, to the best of our knowledge, none of the work has has been conducted to investigate the relation of corruption and transmission dynamics of infectious diseases. In this work, a structured model in the form of system of differential equations has been formulated to investigate the relation between corruption and transmission dynamics of infectious diseases. In this work, a novel mathematical model has been formulated to investigate the relation between corruption and the transmission dynamics of infectious diseases. The results showed that in the presence of corruption the number of infections is higher compared to that in the absence of corruption. Although the implementation of public health intervention can reduce the number of infections, the presence of corruption can increase the disease incidence. This implies that corruption potentially hinder the effort for disease elimination. Numerical simulations showed that in the absence of corruption, the level of efficacy of public health intervention can reduce the number of infections. It showed that 80% efficacy level can eliminate the disease cases, which cannot be achieved in the presence of corruption. The results suggest that the corruption should be minimized in order to achieve disease elimination. When data becomes available, the model would be validated against the data.</dc:description>
	<dc:publisher xml:lang="en-US">Department of Mathematics, Universitas Negeri Gorontalo</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2022-06-28</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ejurnal.ung.ac.id/index.php/JJBM/article/view/14187</dc:identifier>
	<dc:identifier>10.34312/jjbm.v3i1.14187</dc:identifier>
	<dc:source xml:lang="en-US">Jambura Journal of Biomathematics (JJBM); Volume 3, Issue 1: June 2022; 12-16</dc:source>
	<dc:source>2723-0317</dc:source>
	<dc:source>10.34312/jjbm.v3i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ejurnal.ung.ac.id/index.php/JJBM/article/view/14187/4531</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2022 Julieta B.A. Radja, Meksianis Zadrak Ndii</dc:rights>
	<dc:rights xml:lang="en-US">https://creativecommons.org/licenses/by-nc/4.0</dc:rights>
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