Pengembangan Sistem Monitoring Kualitas Air dan Kendali Pakan Otomatis untuk Budidaya Ikan Berbasis Internet of Things
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Water quality monitoring is crucial in aquaculture to maintain fish health and increase productivity. This study developed an Internet of Things (IoT)-based water quality monitoring and automatic feeding system using an ESP32 microcontroller, DS18B20 temperature sensor, TDS sensor, turbidity sensor, and SG90 servo motor. The Blynk platform was used as an interface to monitor real-time data, set feeding intervals, and send notifications. The system was developed using the prototyping method, including analysis, design, implementation, testing, and refinement. Sensor calibration was conducted by comparing the temperature sensor with a digital thermometer, the TDS sensor with a digital TDS meter, and the turbidity sensor with digital turbidity meter. A total of 30 measurement samples were collected to calculate deviations. The operational ranges detected were 20–30 °C, 220–260 ppm, and 2–4 NTU. Results showed average deviations of 2.04 °C (92.44%), 2.84 ppm (96.21%), and 0.17 NTU (98.11%). The system provides reliable monitoring and programmable feeding intervals, enhancing efficiency in aquaculture management.
Author Biographies
Program Studi Sistem Informasi, Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika, Kota Jakarta Timur, Daerah Khusus Ibukota Jakarta, Indonesia.
Program Studi Sistem Informasi, Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika, Kota Jakarta Timur, Daerah Khusus Ibukota Jakarta, Indonesia.
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References
Total: 15 References- Burhani, F., Zaenurrohman, Z., & Purwiyanto, P. (2022). Rancang Bangun Monitoring Akuarium Dan Pakan Ikan Otomatis Berbasis Internet Of Things (IOT). Journal of Electrical Engineering and Computer (JEECOM), 4(2), 62-68. https://doi.org/10.33650/jeecom.v4i2.4309.
- Chaidir, A. R., Herdiyanto, D. W., Eska, A. C., & Kalandro, G. D. (2025). THE EFFECT OF AUTOMATIC FISH FEEDING TECHNOLOGY ON THE QUALITY OF TILAPIA FISH CULTURE PRODUCTS. Jurnal Teknologi Perikanan dan Kelautan, 16(1), 44-51. https://doi.org/10.24319/jtpk.16.44-51.
- Febrianto, I., Saufik, I., & Santoso, L. (2022). Perancangan Sistem Monitoring Kualitas Air Dan Kendali Pakan Aquarium Otomatis Berbasis IoT. Elkom: Jurnal Elektronika dan Komputer, 15(2), 330-340. https://doi.org/10.51903/elkom.v15i2.826.
- 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), 78.
- Indrawati, E. M., Suprianto, B., & Kartika, U. T. (2024). Pemberi Pakan Ikan Otomatis berbasis IoT dengan FLC Berdasarkan Kualitas Air (Suhu, PH, Kekeruhan). JST (Jurnal Sains Dan Teknologi), 13(3), 383-394. https://doi.org/10.23887/jstundiksha.v13i3.85982.
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