Cargando…
Dijkstra's algorithm to find the nearest vaccine location
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 advan...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier B.V.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9829424/ https://www.ncbi.nlm.nih.gov/pubmed/36643180 http://dx.doi.org/10.1016/j.procs.2022.12.105 |
_version_ | 1784867465072738304 |
---|---|
author | Jason Siever, Melvin Valentino, Alvin Suryaningrum, Kristien Margi Yunanda, Rezki |
author_facet | Jason Siever, Melvin Valentino, Alvin Suryaningrum, Kristien Margi Yunanda, Rezki |
author_sort | Jason |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9829424 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98294242023-01-10 Dijkstra's algorithm to find the nearest vaccine location Jason Siever, Melvin Valentino, Alvin Suryaningrum, Kristien Margi Yunanda, Rezki Procedia Comput Sci Article 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. Published by Elsevier B.V. 2023 2023-01-10 /pmc/articles/PMC9829424/ /pubmed/36643180 http://dx.doi.org/10.1016/j.procs.2022.12.105 Text en © 2022 Published by Elsevier B.V. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Jason Siever, Melvin Valentino, Alvin Suryaningrum, Kristien Margi Yunanda, Rezki Dijkstra's algorithm to find the nearest vaccine location |
title | Dijkstra's algorithm to find the nearest vaccine location |
title_full | Dijkstra's algorithm to find the nearest vaccine location |
title_fullStr | Dijkstra's algorithm to find the nearest vaccine location |
title_full_unstemmed | Dijkstra's algorithm to find the nearest vaccine location |
title_short | Dijkstra's algorithm to find the nearest vaccine location |
title_sort | dijkstra's algorithm to find the nearest vaccine location |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9829424/ https://www.ncbi.nlm.nih.gov/pubmed/36643180 http://dx.doi.org/10.1016/j.procs.2022.12.105 |
work_keys_str_mv | AT jason dijkstrasalgorithmtofindthenearestvaccinelocation AT sievermelvin dijkstrasalgorithmtofindthenearestvaccinelocation AT valentinoalvin dijkstrasalgorithmtofindthenearestvaccinelocation AT suryaningrumkristienmargi dijkstrasalgorithmtofindthenearestvaccinelocation AT yunandarezki dijkstrasalgorithmtofindthenearestvaccinelocation |