IMPLEMENTASI SISTEM PEMANTAUAN TANAMAN HIDROPONIK BERBASIS IOT MENGGUNAKAN METODE KLASIFIKASI KNN
Keywords:
ESP32, hydroponics, machine learningAbstract
This project displays a hydroponic plant monitoring system that uses an ESP32 microcontroller with a range of sensors—including TDS, pH, light, temperature, humidity, and water level—to keep an eye on environmental conditions. The data collected is processed and shared through platforms like Blynk, Telegram, and a simple 16x2 I2C LCD display. To predict how healthy the plants are, the system uses the K-Nearest Neighbors (KNN) algorithm based on the real-time sensor data, helping users keep conditions just right. Tests with five different data setups showed that the sensors are pretty accurate: HC-SR04 at 90.9%, DHT11 temperature at 99.29%, DHT11 humidity at 90.32%, and BH1750 at 98.84%. The TDS sensor needs calibration using a 1382 ppm solution before use. When connected to a 46 Mbps network, the data takes about 1.4 to 2.1 seconds to travel from the system to the user interface. Overall, this setup provides dependable, real-time environmental monitoring combined with smart analysis, making it a helpful tool for hydroponic farming.
References
DAFTAR PUSTAKA
Adidrana, D., & Surantha, N. (2019). Hydroponic nutrient control system based on Internet of Things and K-Nearest Neighbors . IEEE Xplore. https://doi.org/10.1109/IC3INA48034.2019.8949585
Albert, M. C., Hans, H., Karteja, H., & Widianto, M. H. (2023). Development of hydroponic IoT-based monitoring system and automatic nutrition control using KNN. In 2023 International Conference on Computer Science, Information Technology and Engineering (ICCoSITE) (pp. 974–979). IEEE. https://doi.org/10.1109/ICCoSITE58498.2023.10178136
Dipayasa, I. G. M. A., Diaz, R. A. N., & Upadani, I. G. A. W. (2025). Smart hidroponik dengan IoT menggunakan KNN untuk monitoring nutrisi tanaman bayam. In Seminar Hasil Penelitian Informatika dan Komputer (SPINTER) (Vol. 2, No. 1, pp. 157–162). Institut Teknologi dan Bisnis STIKOM Bali.
Dinambar, B. P., Sari, D. P., & Irdayanti, Y. (2017). Analysis of the measurement of pH levels and levels of water clarity on the ship's robot. VOLT: Jurnal Ilmiah Pendidikan Teknik Elektro , 2 (2), 133–142.
Fadillah, F., Buaton, R., & Ramadani, S. (2023). IoT-based hydroponic plant monitoring system. Jurnal Artificial Intelligence Engineering Application , 3 (1), 38–43. https://doi.org/10.59934/jaiea.v3i1.255
Herman, H., Adidrana, D., Surantha, N., & Suharjito, S. (2019). Hydroponic nutrient control system based on internet of things. CommIT (Communication and Information Technology) Journal , 13 (2), 105–111.
Handayani, M., & Muhidin. (2022). Sistem pengendali nutrisi dan pH air pada tanaman hidroponik selada. JuTEkS (Jurnal Teknik Elektro dan Sains) , 9 (2), 1–8. https://jurnal.untirta.ac.id/index.php/juteks/article/view/13505
Kurniawati, S., Suryadi, D., & Yulianti, E. (2015). Pengaruh suhu dan kelembaban terhadap pertumbuhan tanaman selada hidroponik. Jurnal Pengolahan Tanaman , 6 (1), 112–118. https://jptam.org/index.php/jptam/article/view/14897
Rachim, J. J. D., Molenaar, R., & Wullur, H. (2024). Mengaplikasikan model IoT (Internet of Things) pertanian dalam memantau kualitas air dan kelembaban pada tanaman hidroponik sistem wick berbasis Android. Jurnal Teknologi Pertanian , 15 (1), 44–54. https://journal.unej.ac.id/index.php/jtekpi/article/view/28584
Ratna, S., Nasution, M. I., & Nasution, N. (2023). Monitoring kualitas air dan kadar nutrisi tanaman hidroponik berbasis Internet of Things (IoT). Technologia: Jurnal Ilmiah , 14 (4), 449–456. https://technologia.id/index.php/technologia/article/view/511
Sobari, E., Vernanda, D., Purnawan, N. N., Apandi, T. H., & Aris, M. A. (2021). The performances of environmental control systems to hydroponics agriculture based on microcontroller. J. Telecommun., Electron. Comput. Eng. (JTEC) , 13 (1), 37–43.
Wati, D. R., & Sholihah, W. (2021). Pengontrol pH dan nutrisi tanaman selada pada hidroponik sistem NFT berbasis Arduino. Teknik Komputer, Sekolah Vokasi, IPB Univ. , 7 (1), 12–21. https://jurnal.ipb.ac.id/index.php/jurnaltk/article/view/33501
Wibowo, A. S., Suprianto, A. N., & Al-Iksan, Y. E. (2022). Teknik budidaya hidroponik dengan sistem wick. Science Contribution to Society Journal , 2 (2), 13–18. https://scsjournal.org/index.php/scsjournal/article/view/142
WP, P. N. S., Nama, G. F., & Komarudin, M. (2022). Sistem pengendalian kadar pH dan penyiraman tanaman hidroponik model wick system. Jurnal Informatika dan Teknik Elektro Terapan , 10 (1), 1–10. https://ejournal.itelkom-purwokerto.ac.id/index.php/JITEE/article/view/2959
Indonesian Society of Applied Science (ISAS)
