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All Journal International Journal of Global Operations Research
Pratama, Mochammad Andhika Aji
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Mathematics

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Comparison of Numerical Simulation of Epidemiological Model between Euler Method with 4th Order Runge Kutta Method Ashgi, Rizky; Pratama, Mochammad Andhika Aji; Purwani, Sri
International Journal of Global Operations Research Vol. 2 No. 1 (2021): International Journal of Global Operations Research (IJGOR), February 2021
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v2i1.67

Abstract

Coronavirus Disease 2019 has become global pandemic in the world. Since its appearance, many researchers in world try to understand the disease, including mathematics researchers. In mathematics, many approaches are developed to study the disease. One of them is to understand the spreading of the disease by constructing an epidemiology model. In this approach, a system of differential equations is formed to understand the spread of the disease from a population. This is achieved by using the SIR model to solve the system, two numerical methods are used, namely Euler Method and 4th order Runge-Kutta. In this paper, we study the performance and comparison of both methods in solving the model. The result in this paper that in the running process of solving it turns out that using the euler method is faster than using the 4th order Runge-Kutta method and the differences of solutions between the two methods are large.
Co-Authors Ashgi, Rizky Purwani, Sri