TRANSMISSION MODEL OF DENGUE FEVER IN CASE OF TANGERANG CITY WITH SEVERAL SIMULATIONS.
Abstract
The aim of our research is constructing mathematics model SIR-SI transmission of dengue virus in case of Tangerang City consider vaccination, fumigation and treatment. Background of our research is because so many cases of dengue fever in Tangerang. We use method compartment model and creating differential equation system. The Result tells us that our mathematics model giving two equilibrium points. As the first, we call as disease free equilibrium point and the second is endemic equilibrium point (Simulation 1). We also success determining basic reproduction number and we analyze local-stability around those equilibrium points. Local stability around is asymptotic stable with =0.7863699062 < 1 and local stable around endemic equilibrium point is asymptotic stable with =3.045597501> 1. For simulation 2 with the parameter , and changed from 0,9 into 1 we get result that the number of infected human is decrease and the number of recovery is increase for free disease condition. In the disease condition of simulation 2, the result seems like same of free disease condition in simulation 2 but not too significantly for decrease the number of infected human and the number of increase recovery human.
Downloads
References
M. Soleh, “Model SIR penyebaran demam berdarah di Pekanbaru,” Jurnal Sains Matematika dan Statistika, vol. 4, no. 2, 2018.
M. A. Baihaqi, P. B. Al-Kubro, R. A. Andyani, Y. Setyawati, U. B. Rahayu, dan M. Fitriyya, “Pola penyebaran penyakit demam berdarah dengan model SIR di Madiun tahun 2020–2022,” Jurnal Keilmuan dan Keislaman, pp. 1–9, 2023, doi: 10.23917/jkk.v3i1.171.
S. Windawati, A. Shodiqin, dan A. N. Aini, “Analisis kestabilan model matematika penyebaran penyakit demam berdarah dengan pengaruh fogging,” Square: Journal of Mathematics and Mathematics Education, vol. 2, no. 1, p. 1, 2020, doi: 10.21580/square.2020.2.1.5149.
N. Andiraja, S. Basriati, E. Safitri, dan A. A. Martino, “Optimal control of vaccination for dengue fever in SIR model,” tanpa tahun.
P. Chanprasopchai, I. M. Tang, dan P. Pongsumpun, “SIR model for dengue disease with effect of dengue vaccination,” Computational and Mathematical Methods in Medicine, 2018, doi: 10.1155/2018/9861572.
E. N. Bano, “Analisis kestabilan titik tetap model matematika penyebaran penyakit DBD tipe SEIR,” Jurnal Saintek Lahan Kering, vol. 1, no. 1, pp. 10–12, 2018, doi: 10.32938/slk.v1i1.421.
J. Harianto dan K. L. Tuturop, “Stability analysis of the SIR-SI model for dengue fever transmission with saturated birth rate,” Jurnal Matematika, Statistika dan Komputasi, vol. 20, no. 1, pp. 245–257, 2023, doi: 10.20956/j.v20i1.27746.
M. Novia, “Penyebaran penyakit demam berdarah dengue model SIR-SI dengan struktur usia dan penyemprotan,” Math Unesa: Jurnal Ilmiah Matematika, vol. 8, no. 2, pp. 195–200, 2020.
S. Side dkk., “Modifikasi model SIR pada penyebaran penyakit demam berdarah dengue di Kabupaten Bone,” Journal of Mathematics, vol. 1, no. 2, 2018.
W. Sanusi, N. Badwi, A. Zaki, S. Sidjara, N. Sari, M. I. Pratama, dan S. Side, “Analysis and simulation of SIRS model for dengue fever transmission in South Sulawesi, Indonesia,” Journal of Applied Mathematics, 2021, doi: 10.1155/2021/2918080.
S. Side, A. Zaki, dan D. N. Sari, “Analisis model matematika penyebaran demam berdarah dengue dengan fungsi Lyapunov,” Journal of Mathematics, vol. 1, no. 2, 2018.
S. Amar dan K. Didik, “Kontrol optimal penyebaran penyakit demam berdarah dengan pengaruh penyemprotan insektisida dan pengobatan,” Jurnal Sains dan Seni ITS, vol. 11, no. 2, 2022.
H. Purwanto, E. Noviani, M. Novitasari, dan M. Intisari, “Analisis dan simulasi model matematika penyakit demam dengue dengan satu serotipe virus dengue,” Buletin Ilmiah Matematika, Statistika, dan Terapannya (BIMASTER), vol. 3, no. 3, 2014.
L. Ode Sabran dan M. Jannah, “Model matematika SEIRS–SEI pada penyebaran penyakit demam berdarah dengue dengan pengaruh suhu,” tanpa tahun.
K. Galuh, “Analisis kestabilan model matematika penyebaran penyakit demam berdarah dengue dengan pengaruh treatment dan fogging,” Math Unesa: Jurnal Ilmiah Matematika, vol. 11, no. 3, 2023.
A. Abidemi, Fatmawati, dan O. J. Peter, “An optimal control model for dengue dynamics with asymptomatic, isolation, and vigilant compartments,” Decision Analytics Journal, vol. 10, 2024, doi: 10.1016/j.dajour.2024.100413.
P. Liu, A. Din, dan Zenab, “Impact of information intervention on stochastic dengue epidemic model,” Alexandria Engineering Journal, vol. 60, no. 6, pp. 5725–5739, 2021, doi: 10.1016/j.aej.2021.03.068.
N. O. Iheonu, U. K. Nwajeri, dan A. A. Omame, “A non-integer order model for Zika and dengue co-dynamics with cross-enhancement,” Healthcare Analytics, vol. 4, 2023, doi: 10.1016/j.health.2023.100276.
H. R. Pandey, G. R. Phaijoo, dan D. B. Gurung, “Vaccination effect on the dynamics of dengue disease transmission models in Nepal: A fractional derivative approach,” Partial Differential Equations in Applied Mathematics, vol. 7, 2023, doi: 10.1016/j.padiff.2022.100476.
H. R. Pandey, G. R. Phaijoo, dan B. Gurung, “Analysis of dengue infection transmission dynamics in Nepal using fractional order mathematical modeling,” 2023, doi: 10.1016/j.csfx.2023.10.
A. M. dan G. M. V., “Nonlinear robust adaptive sliding mode control strategies involve a fractional ordered approach to reducing dengue vectors,” Results in Control and Optimization, vol. 14, 2024, doi: 10.1016/j.rico.2024.100406.
Copyright (c) 2025 Indonesian Journal of Applied Mathematics

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


