Smart Aquaculture Model for the Empowerment of Fisheries Micro, Small, and Medium Enterprises (MSMEs) through Digitalized Fish Farming Using an Automatic Feeding System
Abstract
Ornamental fish have become a popular hobby, offering beauty and tranquility to many homes. However, maintaining consistent feeding remains a challenge that often leads to malnutrition, stunted growth, and poor water quality due to overfeeding. This study aims to address these issues by developing an automatic fish feeding system integrated with Internet of Things (IoT) technology. The system employs an LDR sensor, DC motor, and NodeMCU ESP8266 microcontroller, enabling remote control and real-time monitoring through a mobile application connected to the Adafruit IO cloud. Using the experimental method, the system was tested for accuracy, connectivity, and feed timing performance. The results showed consistent feeding with an average delay of only three minutes, ensuring operational reliability. This research not only provides a practical solution for fish keepers but also supports digital empowerment for small-scale aquaculture businesses through the adoption of smart IoT systems.
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References
Abdullah, A. F., Man, H. C., Mohammed, A., Karim, M. M. A., Yunusa, S. U., & Jais, N. A. B. M. (2024). Charting the Aquaculture Internet of Things Impact: Key Applications, Challenges, and Future Trend. Aquaculture Reports, 39(November 2023), 102358. https://doi.org/10.1016/j.aqrep.2024.102358
Davis, Fred D. 1989. “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology.” MIS Quarterly 13 (3): 319–340.
Flores-Iwasaki, M., Guadalupe, G. A., Pachas-Caycho, M., Chapa-Gonza, S., Mori-Zabarburú, R. C., & Guerrero-Abad, J. C. (2025). Internet of Things (IoT) Sensors for Water Quality Monitoring in Aquaculture Systems: A Systematic Review and Bibliometric Analysis. AgriEngineering, 7(3), 1–28. https://doi.org/10.3390/agriengineering7030078
Indrawati, E. M., Suprianto, B., & Kartini, U. T. (2025). Development of Fuzzy Logic Automatic Fish Feeding System and Iot-based Water Quality Control. Journal of Engineering Research and Reports, 27(3), 56–69. https://doi.org/10.9734/jerr/2025/v27i31417
Marlianingrum, P. R., Suhana, & Suprapta, I. (2022). Ornamental fish export during the Covid-19 pandemic. AACL Bioflux, 15(6), 2999–3011.
Megantoro, P., Anugrah, A. W., Abdillah, M. H., Kustanto, B. J., Fadillah, M., & Vigneshwaran, P. (2024). Smart Measurement and Monitoring System for Aquaculture Fisheries with IoT-Based Telemetry System. Bulletin of Electrical Engineering and Informatics, 13(3), 1555–1565. https://doi.org/10.11591/eei.v13i3.6900
Mohamed, A. A., Muhammad, N. A. B., Rashid, R. A., Ahmed, M. M., Ali, A. A., & Abdikadir, N. M. (2024). IOT-based Automatic Fish Feeding System. 2024 IEEE 22nd Student Conference on Research and Development, SCOReD 2024, February 2025, 333–338. https://doi.org/10.1109/SCOReD64708.2024.10872688
Mohd Jais, N. A., Abdullah, A. F., Mohd Kassim, M. S., Abd Karim, M. M., M, A., & Muhadi, N. ‘Atirah. (2024). Improved Accuracy in IoT-Based Water Quality Monitoring for Aquaculture Tanks Using Low-Cost Sensors: Asian Seabass Fish Farming. Heliyon, 10(8), e29022. https://doi.org/10.1016/j.heliyon.2024.e29022
Olanubi, O. O., Akano, T. T., & Asaolu, O. S. (2024). Design and Development of An IoT-Based Intelligent Water Quality Management System for Aquaculture. Journal of Electrical Systems and Information Technology, 11(1). https://doi.org/10.1186/s43067-024-00139-z
P, A., N, M., H, S., & B, J. (2024). IoT based Smart Aquaculture Monitoring System for Fish Tank Management. Journal of Ubiquitous Computing and Communication Technologies, 6(3), 214–227.
Rastegari, H., Nadi, F., Lam, S. S., Ikhwanuddin, M., Kasan, N. A., Rahmat, R. F., & Mahari, W. A. W. (2023). Internet of Things in Aquaculture: A Review of The Challenges and Potential Solutions Based on Current and Future Trends. Smart Agricultural Technology, 4(December 2022), 100187. https://doi.org/10.1016/j.atech.2023.100187
Rathy, P. A. A., & Jenefer, G. G. (2024). Iot Based Automatic Fish Feeder Using Mobile Application. Futuristic Trends in Artificial Intelligence Volume 3 Book 8, 3, 12–21. https://doi.org/10.58532/v3bgai8p1ch2
Rodríguez, M. C. B., González, C. E. M., Almanza, E. D. C., Rodríguez, C. G., Regino-Vergara, J. Á., & López-Padilla, A. (2025). Benefits and Challenges of The Internet of Things In Aquaculture Production: A Literature Review. Frontiers in Sustainable Food Systems, 9(August), 1–9. https://doi.org/10.3389/fsufs.2025.1590153
Rogers, Everett M. 2003. Diffusion of Innovations. 5th ed. New York: Free Press.
Shete, R. P., Bongale, A. M., & Dharrao, D. (2024). IoT-Enabled Effective Real-Time Water Quality Monitoring Method for Aquaculture. MethodsX, 13(July). https://doi.org/10.1016/j.mex.2024.102906
Silalahi, A. O., Sinambela, A., Panggabean, H. M., & Pardosi, J. T. N. (2023). Smart Automated Fish Feeding Based on Iot System Using Lora Ttgo Sx1276 and Cayenne Platform. EUREKA, Physics and Engineering, 2023(3), 66–79. https://doi.org/10.21303/2461-4262.2023.002745
Sobri, M. A., & Topiq, S. (2024). Automatic Fish Feed Design and IoT Based Monitoring Using NodeMCU ESP8266 Microcontroller. Journal Corner of Education, Linguistics, and Literature, 4(001), 503–514. https://doi.org/10.54012/jcell.v4i001.426
Tarihoran, A. D. B., Hubeis, M., Jahroh, S., & Zulbainarni, N. (2023). Competitiveness of and Barriers to Indonesia’s Exports of Ornamental Fish. Sustainability (Switzerland), 15(11). https://doi.org/10.3390/su15118711
Vo, T. T. E., Ko, H., Huh, J. H., & Kim, Y. (2021). Overview of Smart Aquaculture System: Focusing on Applications of Machine Learning and Computer Vision. Electronics (Switzerland), 10(22), 1–26. https://doi.org/10.3390/electronics10222882
Zuhaer, A., Khandoker, A., Enayet, N., Partha, P. K. P., & Awal, M. A. (2026). Sustainable Aquaculture: An Iot-integrated System for Real-time Water Quality Monitoring Featuring Advanced Do and Ammonia Sensors. Aquacultural Engineering, 112(August 2025), 102620. https://doi.org/10.1016/j.aquaeng.2025.102620
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