Comparison of the Bellman-Ford Algorithm and the Dijkstra Algorithm in Optimizing the Water Distribution Network in Cicalengka
- DOI
- 10.2991/978-94-6463-944-5_18How to use a DOI?
- Keywords
- Bellman-Ford Algorithm; Comparison; Dijkstra Algorithm; The Shortest Path
- Abstract
In previous research, the Bellman-Ford algorithm was used to optimize the drinking water distribution pipe network in the management of Perusahaan Umum Daerah Air Minum Tirta Raharja in Cicalengka. The initial pipe network model as input in this algorithm is a connected, undirected, and weighted graph built based on existing water pipe data and the position of customer homes. The pipes connecting customer homes are edges, customer homes are vertices, and the length of the pipe is the weight in the graph. In this study, the Dijkstra algorithm is used to optimize the same initial model, then compare the output of the two algorithms. Of course, the route or path being searched uses the same starting and ending points. It is obtained that the output of the Dijkstra algorithm is the shortest path which is the same as one of the two shortest paths obtained from the Bellman-Ford algorithm.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Anie Lusiani AU - Euis Sartika AU - Neneng Nuryati AU - Hedi Hedi AU - Ida Suhartini PY - 2025 DA - 2025/12/26 TI - Comparison of the Bellman-Ford Algorithm and the Dijkstra Algorithm in Optimizing the Water Distribution Network in Cicalengka BT - Proceedings of the International Conference on Sustainable Energy: Toward Energy Transition and Net-Zero Emission (ICOSE 2025) PB - Atlantis Press SP - 247 EP - 255 SN - 3005-155X UR - https://doi.org/10.2991/978-94-6463-944-5_18 DO - 10.2991/978-94-6463-944-5_18 ID - Lusiani2025 ER -