BALI KEMBALI COVID19 TRACER: WEB BASED APPLICATION TO TRACKING THE SPREADING OF COVID19 IN BALI TO SUPPORT THE 3T

In handling the Covid19 Pandemic in Bali, efforts to stop the transmission of Covid19 are through 3T and 3M. One of the important parts of the 3T is tracing (tracking). Currently, there is no Information Technology-based solution to carry out an online tracking process of the spread of Covid19 in Bali Province from one location / area to another, due to direct contact with other people with Covid19 sufferers. For this reason, in this research proposal, an application is proposed that will be developed to assist the tracking process. The application, named Bali Kembali Covid19 Tracer (BaCoT), was developed using the Breadth First Search (BFS) algorithm. BFS was chosen because it is the best artificial intelligence (Artificial Intelligence) based algorithm in finding the shortest route and route tracking, which is able to provide more than one search result solution or tracking result. The methodology used in this research is Design Science Research Methodology (DSRM), with eight stages, namely: literature study, research motivation, problem identification, solution design, prototype, demo, documentation, and publication. Qualitative research methods are case studies, data collection methods are literature studies, and testing methods are BlackBox Testing and Technology Acceptance Model (TAM). Through the Bali Kembali Covid19 Tracer (BaCoT) proposed in this study, it is hoped that an overview of the online simulation process of tracking the spread of Covid19 from one point / area to another in Bali Province is expected, along with information on the coordinates of each provide education to users to break the chain of spreading Covid19 in the community through tracing stages as part of 3T. The web-based Bali Back Covid19 Tracer (BaCoT) prototype was completed when this proposal was drafted to speed up the completion time of the research. This research proposal, in collaboration with a partner, namely Udayana University Hospital (as a Covid19 referral hospital) is expected to help handle the Covid19 pandemic, provide benefits in the health sector to the people of Bali Province, and to be able to realize the recovery of economic and tourism conditions in Bali Province. . The targeted outputs achieved from this research include: a prototype of the Bali Kembali Covid19 Tracer (BaCoT) application which is hosted online on a Firebase server based on Cloud Computing, application development documentation, publication of scientific papers in journals (national / international), ISBN books in language Indonesia, as well as research dissemination at the PRB Month 2021 seminar / conference.

Keywords: Bali, Breadth First Search (BFS), Covid19, Tracing, web