Application of Runge Kutta Fehlberg (RKF45) Method as a Numerical Analysis to SIR Model of Tuberculosis Transmission in Central Java
Abstract
Keywords
Full Text:
PDFReferences
Al-Bugami, A. M., & Al-Juaid, J. G. (2020). Runge-Kutta Method and Bolck by Block Method to Solve Nonlinear Fredholm-Volterra Integral Equation with Continuous Kernel. Journal of Applied Mathematics and Physics, 08(09), 2043–2054. https://doi.org/10.4236/jamp.2020.89152
Anwar, N., Nurman, T. A., Patahuddin, H., & Irwan, M. (2023). Solusi numerik model SIR pada penyebaran penyakit tuberkulosis di Sulawesi Selatan dengan menggunakan metode Runge Kutta Fehlberg (RKF 45). Teknosains: Media Informasi Sains Dan Teknologi, 17(2), 262–269. https://doi.org/10.24252/teknosains.v17i2.35960
Bahari, M. F., Afifa Himayati, A. I., Dwi Putra, M. A. J., & Indriyani, P. (2021). Susceptible-Infected-Recovered Epidemic Model on the Spread of Tuberculosis Disease in Central Java. Developing a Global Pandemic Exit Strategy and Framework for Global Health Security, 1069–1075. https://doi.org/10.26911/ICPHmanagement.FP.08.2021.20
Brika Enkekes, Y., & Mardianto, L. (2022). Metode Runge-Kutta Orde 4 Dalam Penyelesaian Persamaan Gelombang 1D Syarat Batas Dirichlet. Original Article Indonesian Journal of Applied Mathematics, 2(1), 1–8. https://journal.itera.ac.id/index.php/indojam/
Ghazal, Z. K., & Hussain, K. A. (2021). Trigonometrically Fitted Runge-Kutta Methods for the Numerical Solution of the Oscillatory Problems. Journal of Al-Qadisiyah for Computer Science and Mathematics, 13(3). https://doi.org/10.29304/jqcm.2021.13.3.835
Indonesia, T. (2024, March 24). Peringatan Hari Tuberkulosis Sedunia 2024: Gerakan Indonesia Akhiri Tuberkulosis (GIAT). TB Indonesia.
Julianto, M. T., Nurdiati, S., Tripranoto, M. A., & Najib, M. K. (2022). SOLUSI NUMERIK MASALAH BIO-DEGRADASI PENCEMAR AIR TANAH MENGGUNAKAN METHOD-OF-LINES. Teorema: Teori Dan Riset Matematika, 7(2), 381. https://doi.org/10.25157/teorema.v7i2.7102
Moujahid, A., & Vadillo, F. (2021). A Comparison of Deterministic and Stochastic Susceptible-Infected-Susceptible (SIS) and Susceptible-Infected-Recovered (SIR) Models. Open Journal of Modelling and Simulation, 09(03), 246–258. https://doi.org/10.4236/ojmsi.2021.93016
Rif’at, N., Hafiyusholeh, M., Zuhri, Z., & Simanjuntak, A. (2022). ANALISIS LAJU PENYEBARAN COVID-19 MENGGUNAKAN MODEL MATEMATIKA EPIDEMIOLOGI SIR DAN RUNGE-KUTTA ORDE EMPAT DI KOTA SURABAYA. Jurnal Mahasiswa Matematika ALGEBRA, 03(01), 98–110.
Sifriyani, & Rosadi, D. (2020). Media Statistika 1 PEMODELAN SUSCEPTIBLE INFECTED RECOVERED (SIR) UNTUK ESTIMASI ANGKA REPRODUKSI COVID-19 DI KALIMANTAN TIMUR DAN SAMARINDA. http://ejournal.undip.ac.id/index.php/media_statistika
Yudasubrata, Y. S. N. (2018). Prosiding Seminar Nasional Matematika dan Terapannya.
DOI: https://doi.org/10.30596/ijems.v6i3.26789
Refbacks
- There are currently no refbacks.
Indonesian Journal of Education and Mathematics Science
Universitas Muhammadiyah Sumatera Utara
Kampus Utama
Jl. Kapten Muchtar Basri No.3, Glugur Darat II,Medan
Sumatera Utara-20238
Kontak: 0819-4593-7110
E-mail: ijems@umsu.ac.id
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.




