Dijkstra's algorithm to find the nearest vaccine location.

COVID-19 Dijkstra Algorithm Location Shortest path Vaccination

Journal

Procedia computer science
ISSN: 1877-0509
Titre abrégé: Procedia Comput Sci
Pays: Netherlands
ID NLM: 101537771

Informations de publication

Date de publication:
2023
Historique:
entrez: 16 1 2023
pubmed: 17 1 2023
medline: 17 1 2023
Statut: ppublish

Résumé

Since the start of Covid-19 pandemic has made many people look for vaccine locations. In general, Dijkstra algorithm is used to find the shortest path. The shortest path problem concentrates on finding the path with the minimum distance. The Dijkstra algorithm was chosen because it has several advantages other than advantageous in terms of running time to find the shortest path. This research focuses on calculation and implementation of Dijkstra algorithm that will result the shortest path with visual by Google Maps API. The project is tested with manual calculation first by using graph explanation. The graph is obtained based on route data obtained with the help of google maps then it is tested by implementing the Dijkstra algorithm using HTML, JavaScript and also Google Maps API to visualize the nearest vaccine location. From the research founded that there were shortcomings problem where program had to enter each road turn as a vertex and an edge, If not including the entire path that was formed, it would pass through buildings or structures that should not be passed. The results that will be displayed on the website based on the purpose of the research.

Identifiants

pubmed: 36643180
doi: 10.1016/j.procs.2022.12.105
pii: S1877-0509(22)02183-4
pmc: PMC9829424
doi:

Types de publication

Journal Article

Langues

eng

Pagination

5-12

Informations de copyright

© 2022 Published by Elsevier B.V.

Références

Vaccines (Basel). 2021 Oct 15;9(10):
pubmed: 34696289

Auteurs

Computer Science Department, School of Computer Science Bina Nusantara University Jakarta, 11480, Indonesia.

Melvin Siever (M)

Computer Science Department, School of Computer Science Bina Nusantara University Jakarta, 11480, Indonesia.

Alvin Valentino (A)

Computer Science Department, School of Computer Science Bina Nusantara University Jakarta, 11480, Indonesia.

Kristien Margi Suryaningrum (KM)

Computer Science Department, School of Computer Science Bina Nusantara University Jakarta, 11480, Indonesia.

Rezki Yunanda (R)

Computer Science Department, School of Computer Science Bina Nusantara University Jakarta, 11480, Indonesia.

Classifications MeSH