The prevalence of HIV/AIDS remains a significant global health concern, including in Malaysia. In this study, a mathematical model was developed to simulate the dynamics of HIV transmission and progression within the Malaysian population. The model incorporates various factors such as population size, infection rate, progression to AIDS, recruitment, natural death, and death due to the disease. Heun's predictor-corrector method was applied to numerically solve the model equations and predict the population of susceptible individuals, infected individuals, and AIDS cases over time. Real-world data on HIV/AIDS cases in Malaysia were used to validate the model and provide accurate predictions. The results indicated a gradual decline in the number of susceptible individuals and an increase in the number of infected individuals and AIDS cases over the simulation period. These findings can contribute to a better understanding of the dynamics of HIV/AIDS transmission in Malaysia and aid in th.....

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