Author:
Yudhanegara Mokhammad Ridwan,Indratno Sapto Wahyu,Sari Kurnia Novita
Abstract
Abstract
In the process of items delivery, the map of the destination locations is represented as a network. The network is used to facilitate vehicles for items delivery. This paper provides an overview of the importance of the clustering method in items delivery optimization. The simulation compares the minimum distance between items delivery using the clustering method and the classic method. The results show that optimization using the clustering method has the total minimum distance.
Subject
General Physics and Astronomy
Reference19 articles.
1. Dynamic items deivery network: prediction and clustering;Yudhanegara;Heliyon,2021
2. Clustering for multi-dimensional data set: a case study on educational data;Yudhanegara;J. Phys.: Conf. Ser.,2019
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