Issue |
BIO Web Conf.
Volume 156, 2025
The 6th International Conference on Fisheries, Aquatic, and Environmental Sciences (ICFAES 2024)
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Article Number | 02002 | |
Number of page(s) | 11 | |
Section | Environment (Ecosystem, Habitat Conservation, Climate, Habitat Consultation, Environmental Modeling, Water Resources and Management) | |
DOI | https://doi.org/10.1051/bioconf/202515602002 | |
Published online | 30 January 2025 |
Marine Automatic Weather System (MAWS) instrumentation system for climate change monitoring based on The Internet of Things (IoT)
1 Doktor Matematika dan Aplikasi Sains, Universitas Syiah Kuala, Banda Aceh 23111, Indonesia
2 Department of Physics, Universitas Syiah Kuala, Banda Aceh 23111, Indonesia
3 School of Physics, Universiti Sains Malaysia, Minden, Penang 11800, Malaysia.
4 Ethnosciences Research Center, Universitas Syiah Kuala, 23111, Darussalam, Banda Aceh, Indonesia
5 Computer Engineering, Faculty of Engineering, Universitas Serambi Mekah, Indonesia
6 Stasiun Meteorologi Kelas I Sultan Iskandar Muda, BMKG, Banda Aceh Indonesia
* Corresponding author: msyukris@usk.ac.id
This research is based on the need for Marine Automatic Weather Station (MAWS) devices for climate change monitoring based on the Internet of Things (IoT) which are still lacking and are supplied from abroad. This research is limited to wind speed and direction parameters. The resulting wind speed and direction data will be saved into a database and displayed on a 16x2 LCD and a dynamic website using PHP, CSS, HTML, JavaScript, and SQL programming. The data transmission is using the 2G/3G cellular network so that the device could be placed in areas where there is only a 2G/3G cellular network. This instrumentation system consists of several parts, such as a data processing unit using the Arduino Uno microcontroller. This instrument is also equipped with a SIM808 GSM/GPRS/GPS module. In this research, there are two stages of equipment testing, i.e. laboratory testing to determine whether data can be sent in real-time into the database, and field testing which functions to calibrate the equipment. The error value of the wind speed measuring instrument is 2.48 % and the accuracy is 97.52%, so the designed instrument can be said to be accurate. Meanwhile, the wind direction measuring instrument has a high error value of 21.93 % and an accuracy of 78.07%.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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