Implementation of Dijkstra Algorithm with React Native to Determine Covid-19 Distribution

Rosyid Ridlo, Al Hakim and Purwono, Purwono and Yanuar Zulardiansyah, Arief and Agung, Pangestu and Muhammad Haikal, Satria and Eko, Ariyanto (2022) Implementation of Dijkstra Algorithm with React Native to Determine Covid-19 Distribution. SISTEMASI: Jurnal Sistem Informasi, 11 (1). pp. 160-170. ISSN 2302-8149

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Abstract

Since Covid-19 was declared a global pandemic because it has spread throughout the world, every effort has been made to help prevent and tackle the transmission of Covid-19, including information technology. Information technology developed to determine the shortest distance for Covid-19 cases around us needs to be developed. This research implements Dijkstra's Algorithm written in the React Native programming language to build a Covid-19 tracking application. The system can display the closest distance with a radius of at least one meter, and the test results can map the nearest radius of 41 meters and the most immediate radius of 147 meters. This system is built for the compatibility of Android OS and iOS applications with React Native programming.

Item Type: Article
Additional Information: COVID-19
Uncontrolled Keywords: Android, GPS-based, Programming, Shortest Distance, Shortest Path.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Academic Faculties, Institutes and Centres > Faculty of Engineering
Faculties, Institutes, Centres > Faculty of Engineering
Depositing User: Arief
Date Deposited: 01 Dec 2022 01:08
Last Modified: 01 Dec 2022 01:08
URI: http://ir.unimas.my/id/eprint/40545

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