Determination of the Fastest Path on Logistics Distribution by Using Dijkstra Algorithm
- DOI
- 10.2991/aer.k.211106.039How to use a DOI?
- Keywords
- connected weighted graph; Dijkstra algorithm; fastest path; logistics distribution
- Abstract
Dijkstra algorithm is one of the algorithms that is used to determine the path with the minimum total weight in the computer network, communication network, and transportation network problems. Some problems that have been studied using Dijkstra algorithm, namely multi-hop calibration of networked embedded system, achieving superior timing-driven routing trees and adaptive protection in microgrids. This article will determine the fastest path in the distribution of logistics by Bulog in West Java region by using Dijkstra algorithm manually and also by using Matlab. Data and information including the path connecting a warehouse to another Bulog warehouse will be used to build a connected weighted graph model. This data was obtained directly from Bulog office in West Java and through Google Maps application during the Covid-19 pandemic. Furthermore, path optimization is carried out by using Dijkstra algorithm, so that the fastest path tree is obtained. The fastest path tree is a path which edge set is a subset of the connected edge set of the connected weighted graph and has minimum total weight. Based on this optimization, the fastest path from Cibitung warehouse Bekasi to Bojong warehouse Cianjur is 154 minutes.
- Copyright
- © 2021 The Authors. Published by Atlantis Press International B.V.
- Open Access
- This is an open access article under the CC BY-NC license.
Cite this article
TY - CONF AU - Anie Lusiani AU - Euis Sartika AU - Agus Binarto AU - Endang Habinuddin AU - Irfani Azis PY - 2021 DA - 2021/11/23 TI - Determination of the Fastest Path on Logistics Distribution by Using Dijkstra Algorithm BT - Proceedings of the 2nd International Seminar of Science and Applied Technology (ISSAT 2021) PB - Atlantis Press SP - 246 EP - 250 SN - 2352-5401 UR - https://doi.org/10.2991/aer.k.211106.039 DO - 10.2991/aer.k.211106.039 ID - Lusiani2021 ER -