DOI: https://doi.org/10.14710/jsp.2024.24800

Automated Monitoring System for Rainwater Harvesting Tank at Telkom University

*Erna Sri Sugesti  -  Doctoral Program of Electrical engineering, Telkom University | Telkom University |, Indonesia
Aris Hartaman  -  Asus Department, Telkom University | Telkom University |, Indonesia
Kharisma Bani Adam scopus  -  Energy System Engineering Study Program, Telkom University | Telkom University |, Indonesia
Deni Wahyu Dewanata  -  Asus Department, Telkom University | Telkom University |, Indonesia
Noval Ramadhana Latief  -  Students of Telecommunication Engineering Study Program, Telkom University | Telkom University |, Indonesia
Rafi Fadyan Ananda Sularto  -  Students of Telecommunication Engineering Study Program, Telkom University | Telkom University |, Indonesia
Jeremia Jordan Marbun  -  Students of Telecommunication Engineering Study Program, Telkom University | Telkom University |, Indonesia
Taufan Umbara  -  Director of Asus Department, Telkom University | Telkom University |, Indonesia
Open Access Copyright (c) 2024 Journal of Sustainability Perspectives
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

How to cite (IEEE): E. S. Sugesti et al., "Automated Monitoring System for Rainwater Harvesting Tank at Telkom University," Journal of Sustainability Perspectives, vol. 4, no. 2, pp. 157-169, Nov. 2024. https://doi.org/10.14710/jsp.2024.24800
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Abstract
The use of ground tank constructed by Telkom University for Rainwater Harvesting (RWH), is limited to environmental maintenance due to concerns regarding the quality of water in the underground tank. Therefore, this research aims to develop a remote monitoring device that uses Internet of Things (IoT) technology to monitor the pH, water surface, submerged materials, and water clarity levels in ground tank. To achieve the requirements, pH, ultrasonic-based volume, Total Dissolved Solids (TDS), and Turbidity sensors were selected due to the IoT connectivity. The enabling device, namely the ESP 32 microcontroller and Blynk platform were installed on monitoring dashboard on a tablet computer with 4GB of RAM. The result showed that calibration of each sensor had good accuracy, except for the Turbidity sensor due unavailable materials. In conclusion, the RWH monitoring system is suitable for use.
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Section: Selected articles from IWGM 2024
Language : EN
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  9. Maulekhi, A., Patani, K. A., Sangani, V., & Pawar, M. V. (2020). The Blockchain-based Smart Water Harvesting System. In 2020 International Conference on Smart Electronics and Communication (ICOSEC) (pp. 771-776). Trichy, India
  10. Cheng, A. L., Silva, L. M., Buenaño, M. R., & Vega, N. L. (2019). Development of an Adaptive Rainwater-Harvesting System for Intelligent Selective Redistribution. In 2019 IEEE Fourth Ecuador Technical Chapters Meeting (ETCM) (pp. 1-5). Guayaquil, Ecuador
  11. Maer, E. D., Pop, A. A., Popa, D. C., Gros, I. C. (2021). Hybrid Water Collecting And Management System Using Smart Home Technologies. In 2021 28th International Workshop on Electric Drives: Improving Reliability of Electric Drives (IWED) (pp. 1-6). Moscow, Russia
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  14. World Health Organization. (2017). Guidelines for Drinking-Water Quality: fourth edition incorporating the first addendum. Geneva: World Health Organization. Licence: CC BY-NC-SA 3.0 IGO
  15. United States Environmental Protection Agency. (n.d.). Turbidity provisions. Retrieved from https://www.epa.gov/dwreginfo/turbidity-provisions
  16. European Commission. (2020). Directive (EU) 2020/2184 On The Quality Of Water Intended For Human Consumption (recast). Retrieved from https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32020L2184
  17. Dunn, P. F., Davis, M. P. (2018). Measurement and Data Analysis for Engineering and Science (4th ed.). CRC Press
  18. Ahmad, A. (2003). Data communication principles for fixed and wireless networks. Kluwer Academic Publishers

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