Issue |
E3S Web Conf.
Volume 500, 2024
The 1st International Conference on Environment, Green Technology, and Digital Society (INTERCONNECTS 2023)
|
|
---|---|---|
Article Number | 01004 | |
Number of page(s) | 10 | |
Section | Computer Science | |
DOI | https://doi.org/10.1051/e3sconf/202450001004 | |
Published online | 11 March 2024 |
Dijkstra Algorithm Implementation to Determine the Shortest Route to Hospital: A Case Study in Magelang District Indonesia
Universitas Muhammadiyah Magelang, Magelang, Indonesia
* Corresponding author: arri_w@ummgl.ac.id
Digital maps are an important tool used to find a place. The use of digital maps is very diverse, including to provide routes from one place to another. The map can also show that the route is heavy with traffic so that another route can be found. However, sometimes maps provide unclear routes so users can get lost. Users will search for the nearest hospital on the map. The map will display all hospitals, but the user must choose the hospital to go to and then follow the suggested route. This is of course very inconvenient if in an emergency you have to find the location of the nearest hospital, so you need an application that can show the exact location of the hospital. The purpose of this research is to determine the shortest route to the nearest hospital so as to save time in an emergency. The method used in this research is using Dijkstra's algorithm. Current location search and the shortest route to the nearest hospital. The calculation results obtained a value of 0.476 km which indicates the shortest route. The application of Dijkstra's algorithm can maximize the use of the map with the shortest route to the nearest hospital.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.