Jurnal Matematika
Vol. 16 No. 1 (2026)

Kontrol Optimal untuk Model SIR Campak dengan Imunisasi Menggunakan Prinsip Minimum Pontryagin

Dhea Wasila Rahmi (Universitas Mataram)
Elyin Fitrawati (Universitas Mataram)
Amilia Ulul Azmi (Universitas Mataram)
Bulqis Nebulla Syechah (Universitas Mataram)
Tri Maryono Rusadi (Universitas Mataram)



Article Info

Publish Date
27 Jun 2026

Abstract

Measles is a contagious disease that continues to affect a significant portion of the population, particularly infants and children. The disease can be prevented through immunization programs, including both basic and booster immunizations, which are part of government public health initiatives. This study aims to reduce the spread of measles while minimizing immunization costs by incorporating a control variable into the SIR (Susceptible–Infected–Recovered) model of disease transmission. The method employed is Pontryagin’s Minimum Principle to determine the optimal immunization strategy that is both effective and cost-efficient. The results indicate that the inclusion of an immunization control in the model significantly decreases the susceptible population and reduces the growth rate of the infected compartment. Furthermore, the recovered population increases more rapidly compared to the model without control. The proportion of the immunized population demonstrates that a more optimal control strategy leads to greater effectiveness in suppressing disease transmission. Therefore, the application of optimal control in the SIR model provides a valuable mathematical framework to support immunization policies for measles prevention and control.

Copyrights © 2026






Journal Info

Abbrev

jmat

Publisher

Subject

Mathematics

Description

This journal encompasses original research articles, review articles, and case studies, including those in Mathematics and Its Application. Scope of Journal: Analysis, algebra, topology, graph, approach of numerical simulation, also known as numerical analysis, optimum controls, queuing issues, ...