Predicting Weather Conditions by the Internet of Things Platform

Wiwid Suryono; Ariyono Setiawan; Anton Budiarto; Yuyun Suprapto; S. Sri Rahayu; Ahmad Musadek

doi:10.2991/978-94-6463-092-3_15

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Predicting Weather Conditions by the Internet of Things Platform

Authors

Wiwid Suryono¹^{, *}, Ariyono Setiawan¹, Anton Budiarto¹, Yuyun Suprapto¹, S. Sri Rahayu², Ahmad Musadek¹

¹Politeknik Penerbangan Surabaya, Surabaya, Indonesia

²Politeknik Penerbangan Indonesia Curug, Kabupaten Tangerang, Indonesia

^*Corresponding author. Email: widsuryono@gmail.com

Corresponding Author

Wiwid Suryono

Available Online 21 February 2023.

DOI: 10.2991/978-94-6463-092-3_15 How to use a DOI?
Keywords: Weather station; Esp32; IoT. Firebase
Abstract: Weather stations are built to collect quantitative data on the weather conditions of a place. Monitoring the weather conditions in the current environment is considered to be very important because the erratic weather changes every day. This study tried to create a weather station that can be accessed through the website using the IoT platform. Users can know the weather changes in an area without the need to come to the area. The design of this weather station uses the main components of the ESP32 microcontroller because this microcontroller is already integrated with Bluetooth and wifi. The design results of this tool can measure data weather consisting of temperature parameters, humidity, air pressure, rainfall, wind speed, wind direction as well as day, night, and cloudy conditions. The results of measuring the parameters of weather data are stored on the cloud firebase database server and can be accessed via an android mobile phone.
Copyright: © 2023 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.

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Volume Title: Proceedings of the International Conference on Advance Transportation, Engineering, and Applied Science (ICATEAS 2022)
Series: Advances in Engineering Research
Publication Date: 21 February 2023
ISBN: 10.2991/978-94-6463-092-3_15
ISSN: 2352-5401
DOI: 10.2991/978-94-6463-092-3_15 How to use a DOI?
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

ris enw bib

TY  - CONF
AU  - Wiwid Suryono
AU  - Ariyono Setiawan
AU  - Anton Budiarto
AU  - Yuyun Suprapto
AU  - S. Sri Rahayu
AU  - Ahmad Musadek
PY  - 2023
DA  - 2023/02/21
TI  - Predicting Weather Conditions by the Internet of Things Platform
BT  - Proceedings of the International Conference on Advance Transportation, Engineering, and Applied Science (ICATEAS 2022)
PB  - Atlantis Press
SP  - 168
EP  - 178
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-092-3_15
DO  - 10.2991/978-94-6463-092-3_15
ID  - Suryono2023
ER  -

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