Optimal Rice Distribution Route Planning Using the Dijkstra Algorithm Approach in Deli Serdang Regency
- DOI
- 10.2991/978-94-6463-998-8_2How to use a DOI?
- Keywords
- Rice Distribution; Djikstra Algorithm; Distribution Route
- Abstract
Rice distribution in Deli Serdang Regency faces challenges in selecting efficient routes to reduce costs, save time, and ensure timely delivery. This study compares the effectiveness of the Dijkstra algorithm in optimising distribution routes. Distance data between distribution points was obtained from Google Maps, while rice demand data was collected from distributors and related institutions. The Dijkstra algorithm was applied to determine the shortest global route, while the Nearest Neighbour algorithm selected routes based on the nearest location at each step (local optimum). The results show that the Dijkstra algorithm reduced the distance travelled from 246.80 km to 156.42 km (a saving of 90.38 km or 36.62%), while the Nearest Neighbour algorithm only reduced it to 226.62 km (a saving of 20.18 km or 8.17%). In conclusion, Dijkstra proved to be more effective in minimising travel distance and improving delivery time.
- Copyright
- © 2026 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 - Anita Christine Sembiring AU - Clynton Parasian Sitohang AU - Mari Rakha Atmaja AU - Jufriantoni Jufriantoni AU - Indira Ruth Septarini AU - Markonius Boy Tarigan PY - 2026 DA - 2026/03/05 TI - Optimal Rice Distribution Route Planning Using the Dijkstra Algorithm Approach in Deli Serdang Regency BT - Proceedings of the 1st International Conference of Technology, Innovation, Design & Enterprise (ICTIDE 2025) PB - Atlantis Press SP - 3 EP - 9 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-998-8_2 DO - 10.2991/978-94-6463-998-8_2 ID - Sembiring2026 ER -