Research Article Open Access

Development of Water Quality Control and Monitoring System for Hydroponic Plants with a Cloud-Based System

Cahya Lukito1, Rony Baskoro Lukito1 and Endang Ernawati2
  • 1 Department of Computer Science, Bina Nusantara University, Jakarta, Indonesia
  • 2 Department of English, Bina Nusantara University, Jakarta, Indonesia

Abstract

The research aimed to develop software and hardware to control the water quality of hydroponic plants; create custom software for the ESP8266, turning it into an IoT client capable of seamless integration with AWS IoT cloud-based system; initiate targets integrating and enhancing AWS IoT modules, facilitating automated water quality control functions and building intuitive dashboards for real-time water quality monitoring. The research started with the preparation of hardware and software focusing on aspects of hydroponics, including monitoring water quality, plant response, and the hydroponic system as a whole. Apart from that, TCP/IP networks were built by using Wi-Fi routers, LAN networks, and access to the internet. Then, System development involving hardware modules, software development, and user interface design were conducted. The final research result is the development of an integrated system to control and monitor water quality which is vital for the growth of hydroponic plants. Finally, by developing a hydroponic planting system supporting device that is integrated into a cloud-based system, it is expected to create a digital system that can work automatically to regulate water quality in maintaining the growth of hydroponic plants which is equipped with easy access at any time remotely and from anywhere.

Journal of Computer Science
Volume 20 No. 6, 2024, 658-669

DOI: https://doi.org/10.3844/jcssp.2024.658.669

Submitted On: 21 October 2023 Published On: 26 March 2024

How to Cite: Lukito, C., Lukito, R. B. & Ernawati, E. (2024). Development of Water Quality Control and Monitoring System for Hydroponic Plants with a Cloud-Based System. Journal of Computer Science, 20(6), 658-669. https://doi.org/10.3844/jcssp.2024.658.669

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Keywords

  • Remote Monitoring
  • Automatic Remote Control
  • Internet of Things
  • Cloud-Based System
  • Hydroponic Water Quality