Perancangan dan Implementasi Sistem Smart Contact Tracing pada Kasus Penyebaran Covid-19 Menggunakan Media WiFi dan Bluetooth Low Energy

Amelia, Christine (2021) Perancangan dan Implementasi Sistem Smart Contact Tracing pada Kasus Penyebaran Covid-19 Menggunakan Media WiFi dan Bluetooth Low Energy. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Contact tracing merupakan salah satu metode pecegahan yang dapat dilakukan ketika terjadinya wabah penyakit yang menular, misalnya seperti Covid-19. Semakin bertambahnya kasus, maka semakin besar peluang dalam penyebaran virus tersebut. Belakangan ini, berbagai pengembangan mulai dilakukan oleh berbagai negara untuk menciptakan sebuah sistem pelacakan dengan menggunakan berbagai jenis teknologi yang tersedia.

Wi-Fi dan BLE merupakan teknologi berbasis jaringan yang akan dimanfaatkan dalam perancangan dan implementasi pada sistem smart contact tracing ini. Sensor yang digunakan berupa microcontroller yang akan difungsikan sebagai sensor untuk memindai dan merekam MAC Address perangkat-perangkat yang ada di sekitarnya. Data beserta identitas pemilik MAC Address akan ditampilkan dengan memanfaatkan halaman web.
Dari uji coba yang telah dilakukan, sensor berhasil merekam alamat MAC Address perangkat dan fitur filter pada halaman web berhasil diterapkan.
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Contact tracing is one of the prevention methods that can be done when an outbreak of an infectious disease occurs, for example, Covid-19. The more cases there are, the greater the chance of spreading the virus. In recent years, developments have begun to be carried out by various countries to create a new system using various types of available technology.

Wi-Fi and BLE are network-based technologies that will be utilized in the design and implementation of this smart contact tracing system. The sensor used is a microcontroller which will function as a sensor to scan and record the MAC Address of the devices in the vicinity. Data along with the identity of the owner of the MAC Address will be displayed using a web page.
From the trials that have been carried out, the sensor has succeeded in recording the MAC address of the device and the filter feature on the web page has been successfully implemented.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Contact Tracing, ESP32, ESP8266, Raspberry Pi, Covid, Pelacakan Kontak
Subjects:	T Technology > T Technology (General) > T57.62 Simulation
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Informatics Engineering
Depositing User:	Christine Amelia
Date Deposited:	14 Aug 2021 08:56
Last Modified:	14 Aug 2021 08:56
URI:	http://repository.its.ac.id/id/eprint/86423

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