The aims of this study were to develop and evaluate the mathematical models for the spread of political figure fever in presidential elections in Indonesia. This thesis introduced several new models concerning the analysis of the spread of voters by showing modeling and simulation. The methodology is based on quantitative research using epidemiological approach. This study employed four different types of continuous time deterministic models; SIR, SIRS, SI1I2R, and SI1I2RS . These new models were applied to the presidential elections data in Indonesia to analyze the dynamical spread of voters of presidential candidates. The analysis of the result were displayed in the graph to show dynamical change on each individual. Simulations performed to obtain an overview of the dynamics of the spread of the influence of voters in the population. The results comparing the simulations for these models showed the best model for estimating the number of votes is SI1I2RS model. Furthermore, from simu.....

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In this paper, we propose a new deterministic model to understand the spread of voters in two-political figures fever in a closed population. Voters’ population is divided into four subpopulations: susceptible voters, infected voters in political Figure 1, infected voters in political Figure 2, and recovered voters. The dynamical analysis is used for analyzing the behavior of the spread of this fever. We perform numerical simulations on the model to understand the dynamics of each voter population...

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