Dock Clustering Management System based on Modified K-Mean Algorithm in Smart Port Services

Ari Wijayanti, Okkie Puspitorini, Nur Siswandari, Haniah Mahmudah, Revfath Syafaat

2021

Abstract

In queueing management system, waiting time is a parameter that indicates times duration when the ship enters the port until it rests on the dock to stevedoring process. The problem in waiting time is taking a long time to place the ships in the suitable dock for unloaded activity. The condition caused by the ship’s specifications does not match with the specifications of the dock so the ship has to wait for a long. To overcome this problem, this paper proposed the Modified K-Means Algorithm is used to clustering the ship into the suitable dock. The clustering of the ships is based on Length of All (LOA) or length of the ship, gross tonnage of ships, and commodity type from ship’s cargo. Labeling data of dataset according to the specification of Port then they are trained using K – Cross-Validation to determine centroid. The ship’s specifications are provided by LoRa (Long Range) device after it is detected first when the ships enter the port area. The LoRa calculates the distance of each ship using the Euclidean Distance Formula and grouping the ships based on minimum distance. The experiments have been conducted with 70 ships, which are clustered by 10 ships on each dock. The result is the accuracy of the Modified K-Means algorithm in clustering ships were reached 91.4%. This percentage indicates that the ships were successfully clustering at the correct dock according to the specifications of the ship and the dock

Paper Citation

in Harvard Style

Wijayanti A., Puspitorini O., Siswandari N., Mahmudah H. and Syafaat R. (2021). Dock Clustering Management System based on Modified K-Mean Algorithm in Smart Port Services. In Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES, ISBN 978-989-758-615-6, pages 692-697. DOI: 10.5220/0010951200003260

in Bibtex Style

@conference{icast-es21,
author={Ari Wijayanti and Okkie Puspitorini and Nur Siswandari and Haniah Mahmudah and Revfath Syafaat},
title={Dock Clustering Management System based on Modified K-Mean Algorithm in Smart Port Services},
booktitle={Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES,},
year={2021},
pages={692-697},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010951200003260},
isbn={978-989-758-615-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES,
TI - Dock Clustering Management System based on Modified K-Mean Algorithm in Smart Port Services
SN - 978-989-758-615-6
AU - Wijayanti A.
AU - Puspitorini O.
AU - Siswandari N.
AU - Mahmudah H.
AU - Syafaat R.
PY - 2021
SP - 692
EP - 697
DO - 10.5220/0010951200003260