The initial stage of this study was carried out through tracing Covid 19 patients based on their position of residence. The method used in this study is a combination of graph theory and GPS tracing system on a gadget. The application can help public to find out how many individuals are infected with Covid 19 in the surrounding environment by prioritizing privacy-preserving in a real time. The purpose of this study is to provide information regarding patients infected with Covid 19 in a certain area through a tracing application. The impact of Covid 19 has led to an increase in the use of gadgets to access all the information needed. Most individuals who have mild symptoms are self isolating at their home until tested negative for the Covid 19 virus.
Individuals exposed to the Covid 19 virus have symptoms like mild, moderate, to severe condition.
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The new normal condition in Indonesia does not mean that Indonesia is completely free from infection with the Covid 19 virus. The results of the model simulation and analysis of the value indicate that the chance of successful Covid-19 spread and the isolation factor is a significant controlled parameter in reducing the value. This model has a disease-free equilibrium point that is asymptotically stable, while at the equilibrium point, the endemic is unstable. The method used in this research was to derive a non-linear system of differential equations model, complete the model qualitatively, find the primary reproduction ratio (, see the model’s behavior by analyzing the dynamics of the equilibrium point and make model simulations. The spread of Covid-19 can be made into an epidemic model by taking into account the population of susceptible humans (S), infected humans (I), isolated humans (L), and recovered humans (R). This study aimed to model and analyze the spread of Covid-19 with the isolation factor. This virus has spread throughout the world to cause a pandemic. Covid-19 is a type of infectious disease caused by SARS Cov-2.
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