Designing a Monitoring System and Optimizing Water Quality in Tilapia Farming Ponds in Phokecik Hamlet Using Ubidots

Muhammad Taufik Nur Efendi; Indah Sulistiyowati; Syamsudduha Syahrorini; Izza Anshory

doi:10.12928/biste.v6i1.10090

Authors

Muhammad Taufik Nur Efendi Universitas Muhammadiyah Sidoarjo
Indah Sulistiyowati Universitas Muhammadiyah Sidoarjo
Syamsudduha Syahrorini Universitas Muhammadiyah Sidoarjo
Izza Anshory Universitas Muhammadiyah Sidoarjo

DOI:

https://doi.org/10.12928/biste.v6i1.10090

Keywords:

ESP 32, Water Quality Control, Water Level Control, Monitoring Ubidots

Abstract

There are several important factors to increase the success rate of tilapia farming. Among them is the regulation of water quality in the pond, which is still mostly done manually. Therefore, a water quality management tool for Ubidots-based tilapia fish farming ponds is made to facilitate tilapia fish farmers in regulating the quality of pond water automatically. so the importance of water quality management of tilapia fish farming ponds is a follow-up to reduce the failure rate in the cultivation process. The components used in this tool are Esp32 as a microcontroller, ph sensor as a water ph value detector, DS18B20 temperature sensor as water temperature detection and turbidity sensor as a water turbidity value detector, Ultrasonic sensor as a pool water level detector, LCD to display the value detected by the sensor, solenoid valve and water pump that functions to drain and fill the pool water. The conclusion of the results obtained from this device is that the device works well and helps tilapia fish farm owners to monitor and control water quality efficiently, although there are some obstacles such as delays due to internet connections. so maybe in the future it can add a solar cell as a power supply for the automatic control process in this system.

References

O. P. C. Series and M. Science, “Web of Things to control planting seeds and watering plants for indoor smart farm Web of Things to control planting seeds and watering plants for indoor smart farm,” In IOP Conference Series: Materials Science and Engineering, vol. 1098, no. 5, p. 052109, 2021, https://doi.org/10.1088/1757-899X/1098/5/052109.

R. M. Hernandez and A. A. Hernandez, “Acceptance Analysis of Mobile Application for Nile Tilapia Classification using Unified Theory of Acceptance and Use of Technology,” in 2020 16th IEEE International Colloquium on Signal Processing & Its Applications (CSPA), pp. 266–271, 2020, https://doi.org/10.1109/CSPA48992.2020.9068727.

H. Mustafidah, Suwarsito, and E. Puspitasari, “Case-Based Reasoning System to Determine the Types of Fish Farming Based on Water Quality,” in 2020 Fifth International Conference on Informatics and Computing (ICIC), pp. 1–5, 2020, https://doi.org/10.1109/ICIC50835.2020.9288535.

L. Lopez et al., “Design of Water Quality Control System for Commercial Tilapia Pond,” in 2023 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), pp. 1–6, 2023, https://doi.org/10.1109/eStream59056.2023.10135052.

J. Huan, H. Li, F. Wu, and W. Cao, “Design of water quality monitoring system for aquaculture ponds based on NB-IoT,” Aquacultural Engineering, vol. 90, p. 102088, 2020, https://doi.org/10.1016/j.aquaeng.2020.102088.

B. Dewantara, I. Sulistiyowati, and J. Jamaaluddin, “Automatic Fish Feeder and Telegram Based Aquarium Water Level Monitoring,” Buletin Ilmiah Sarjana Teknik Elektro, vol. 5, no. 1, pp. 98–107, 2023, https://doi.org/10.21070/ups.377.

M. de la L. Sanchez-Estrada, J. F. Garcia-Trejo, V. Caltzontzin-Rabell, R. Chavez-Jaime, L. de L. Alvarez-Arquieta, and O. Alatorre-Jacome, “Factors to increase the stocking density using BioFloc Technology in tilapia production : A mini-review,” in 2018 XIV International Engineering Congress (CONIIN), pp. 1–5, 2018, https://doi.org/10.1109/CONIIN.2018.8489813.

N. L, M. V Gudur, S. R, and S. B, “IoT Based Innovative Smart Monitoring of Aquaponics System Using Atmega 328P and ESP 8266,” in 2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT), pp. 1–6, 2022, https://doi.org/10.1109/GCAT55367.2022.9972203.

L. Y. Heng, M. E. Rana, R. Abdulla, and H. K. Tripathy, “Design and Development Recommendations for a Smart Weather Monitoring System,” in 2022 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC), pp. 1–9, 2022, https://doi.org/10.1109/ASSIC55218.2022.10088313.

S. A. Hamid, A. M. A. Rahim, S. Y. Fadhlullah, S. Abdullah, Z. Muhammad, and N. A. M. Leh, “IoT based Water Quality Monitoring System and Evaluation,” Proceedings - 10th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2020, pp. 102–106, 2020, https://doi.org/10.1109/ICCSCE50387.2020.9204931.

T. A. Bejar et al., “Enhancing Tilapia Harvesting through Semi-automated Fish Pen Elevating System and Single-input-multiple-output Aquaculture Pump System,” in 2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), pp. 1–6, 2022, https://doi.org/10.1109/HNICEM57413.2022.10109413.

H. Mustafidah, B. R. Alfiansyah, Suwarsito, Purnomo, and N. Hidayat, “Expert System Using Forward Chaining to Determine Freshwater Fish Types Based on Water Quality and Area Conditions,” in 2023 Eighth International Conference on Informatics and Computing (ICIC), pp. 1–5, 2023, https://doi.org/10.1109/ICIC60109.2023.10382066.

J. D. L. Madrid, J. C. D. Cruz, and V. L. Q. Balisi, “Real-Time Water Quality Monitoring System with Predictor for Tilapia Pond,” in 2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), pp. 1–6, 2018, https://doi.org/10.1109/HNICEM.2018.8666423.

G. Simoes, C. Dionisio, A. Gloria, P. Sebastiao, and N. Souto, “Smart System for Monitoring and Control of Swimming Pools,” IEEE 5th World Forum on Internet of Things, WF-IoT 2019 - Conference Proceedings, no. 1, pp. 829–832, 2019, https://doi.org/10.1109/WF-IoT.2019.8767240.

C. H. Chen, Y. C. Wu, J. X. Zhang, and Y. H. Chen, “IoT-Based Fish Farm Water Quality Monitoring System,” Sensors, vol. 22, no. 17, 2022, https://doi.org/10.3390/s22176700.

B. Aziz, E. Muchtar, and F. I. Hariadi, “Human-Machine Interface for water quality monitoring system of white-legged shrimp pond,” 2016 International Symposium on Electronics and Smart Devices, ISESD 2016, pp. 73–78, 2017, https://doi.org/10.1109/ISESD.2016.7886695.

Abu-Khadrah, G. F. Issa, S. Aslam, M. Shahzad, K. Ateeq, and M. Hussain, “IoT Based Smart Fish-Feeder and Monitoring System,” in 2022 International Conference on Business Analytics for Technology and Security (ICBATS), pp. 1–4, 2022, https://doi.org/10.1109/ICBATS54253.2022.9759058.

J. John and M. P. R, “Automated Fish Feed Detection in IoT Based Aquaponics System,” in 2021 8th International Conference on Smart Computing and Communications (ICSCC), pp. 286–290, 2021, https://doi.org/10.1109/ICSCC51209.2021.9528186.

Akhriana, I. Intan, N. Tamsir, N. Nirwana, R. W. Rahmi, and R. Rahmadani, “Microcontroller Application in Feeding Fish Using an Android Mobile,” in 2021 3rd International Conference on Cybernetics and Intelligent System (ICORIS), pp. 1–6, 2021, https://doi.org/10.1109/ICORIS52787.2021.9649453.

H. M. Saod, M. K. F. Kushiar, and N. H. Ishak, “Telemetry System for Highland Tomato Plants Using Ubidots Platform,” in 2022 IEEE 12th International Conference on Control System, Computing and Engineering (ICCSCE), pp. 197–202, 2022, https://doi.org/10.1109/ICCSCE54767.2022.9935656.