WEB APPLICATION IMPLEMENTATION FOR BLUETOOTH LOW ENERGY ESTIMATION LOCATION-BASED SOCIAL DISTANCING VIOLATION DETECTION SYSTEM WITH MACHINE LEARNING USING TYPESCRIPT

• Main Author: Fajar Fitra Ady, Galih
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/55931
• Institution: Institut Teknologi Bandung

The COVID-19 pandemic, take place from the beginning of 2020 until now—when this document is being written—has a huge impact on different sectors in the world. The disease caused by a virus, known as Novel Coronavirus-19 or simply Coronavirus, is a highly contagious disease. The spread of the disease is mainly because of the airborne transmission of the virus, moreover if there is an interaction between people. Therefore, there are several ways to hinder the spread of the virus. One of them is by practicing social distancing. Social distancing (the term social distancing is interchangeable with physical distancing) is an action to keep safe distance yourself and other for about 1.8 to 2 meters. Even though social distancing sounds easy to do, in reality there are still many of the violations occur, especially in Indonesia. Hence, a system is considered to be needed to detect the violation of social distancing. In this final works, a system made to detect any social distancing violation, based on location estimation of Bluetooth Low Energy (BLE) device using machine learning with RNN algorithm. The location estimation is then will be determined if a violation occurs or not and visualized using fullstack web application that implemented using Typescript. The output of this final works is a fullstack web application, ranging from backend to frontend that its main function is to serve request at the iv backend, reading and writing of data in the database, and vinally visualized at the frontend. The web application that has been made is able to fulfill the system’s needs as a whole, which every process at backend until the visualization at frontend can be done in less than 500ms, hence the web application can be run in a real-time environment.