Smart Port Priority Queueing Services Base on Long Range (LoRa) Communication Network: Case Study Anchored Ship Management

Ari Wijayanti, Okkie Puspitorini, Nur Adi Siswandari, Haniah Mahmudah

2022

Abstract

To improve port services, it is proposed to use LoRa communication network in the process of numbering ship queues to ports based on priority. This system will use two main devices, namely lora nodes that will be installed on ships and gateways that will be placed in ports. The lora node will send ship data to the gateway so that the distance and RSSI value of each ship will be known. This data will be processed using the Dijkstra fuzzy algorithm to get the queue number of the ship while the SWA algorithm is to determine the priority of ships entering the port. Based on the test results, it was found that the coverage of the LoRa communication area in an unobstructed area can reach 7.91 km. with an average RSSI value above -120 dBm. In selecting nodes, Djikstra’s Fuzzy Algorithm is 100% successful in determining the nodes that come together. Likewise, the results of experiments with the Simple Additive Weighting algorithm on 16 ships at 7 docks with certain specifications resulted in a percentage of 100%.

Paper Citation

in Harvard Style

Wijayanti A., Puspitorini O., Adi Siswandari N. and Mahmudah H. (2022). Smart Port Priority Queueing Services Base on Long Range (LoRa) Communication Network: Case Study Anchored Ship Management. In Proceedings of the 5th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES; ISBN 978-989-758-619-4, SciTePress, pages 656-662. DOI: 10.5220/0011861600003575

in Bibtex Style

@conference{icast-es22,
author={Ari Wijayanti and Okkie Puspitorini and Nur Adi Siswandari and Haniah Mahmudah},
title={Smart Port Priority Queueing Services Base on Long Range (LoRa) Communication Network: Case Study Anchored Ship Management},
booktitle={Proceedings of the 5th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES},
year={2022},
pages={656-662},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011861600003575},
isbn={978-989-758-619-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 5th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES
TI - Smart Port Priority Queueing Services Base on Long Range (LoRa) Communication Network: Case Study Anchored Ship Management
SN - 978-989-758-619-4
AU - Wijayanti A.
AU - Puspitorini O.
AU - Adi Siswandari N.
AU - Mahmudah H.
PY - 2022
SP - 656
EP - 662
DO - 10.5220/0011861600003575
PB - SciTePress