Anonymously tracking covid-19 patient using labeling graph approach and GPS tracking technology

ABSTRACT

The increasing number of patient infected by Covid-19 viruses in Indonesia, causing each personal to be more vigilant in doing activities outside. Many patients who are positively exposed to the corona viruses are self isolating in their own house because the hospital is full. Patiens who have recovered and tested negative from the corona viruses can work outside the house. The purpose of this study is to provide information regarding patients infected with Covid-19 in certain area through a tracing application. This apllication can help public to find out how many individuals are infected with Covid-19 in the surrounding environment by priorizing patient privacy and in real time anonymously. The method used is a combination of labelling graph theory and the GPS tracing system applied to the gadget. The programming language use in this gadget cases is flutter. The stages that will be carried out are starting from tracing patients infected with Covid-19 based on the position of tracing area, then predicted through a graph model approach based on distance and percentage of transmission. The result of this research is the percentage of prediction about personal vulnerability. The initiation of prediction divide into saveral categories, including vulnerable, moderate, or safe. © 2022 Institute of Physics Publishing. All rights reserved.