Design and Implementation of an IoT-Based Automatic Irrigation and Environmental Monitoring System for Amorphophallus muelleri (Porang) Cultivation
DOI:
https://doi.org/10.35895/jpsi.2.1.12-24.2026Keywords:
Internet of Things, Porang Plant, Blynk, Automatic Irrigation, Envronmental MonitoringAbstract
The cultivation of Amorphophallus muelleri (porang) in Indonesia is highly dependent on rainfall patterns and is influenced by environmental factors such as temperature, soil moisture, light intensity, and precipitation. This dependency often results in inefficient irrigation management and suboptimal plant growth. This study aims to develop an Internet of Things (IoT)-based automatic irrigation and environmental monitoring system specifically designed to support porang cultivation and improve water management efficiency. The system was implemented using an Arduino Uno microcontroller and a NodeMCU ESP8266, integrated with DHT22 (temperature and humidity), YL-69 (soil moisture), BH1750 (light intensity), and rain sensors, and connected to the Blynk IoT platform for real-time monitoring and remote control. Calibration results showed low measurement errors of 2.19%, 1.75%, and 5.09% for the temperature, soil moisture, and light intensity sensors, indicating reliable sensor performance. The test results showed that the system was able to automatically activate the water pump when soil moisture fell below the 50% threshold, thereby maintaining soil moisture within the optimal range under various environmental conditions. Overall, the proposed system enables continuous environmental monitoring and effective automatic irrigation control to support optimal porang growth.
References
Abdelmoneim, A. A., Al Kalaany, C. M., Khadra, R., Derardja, B., & Dragonetti, G. (2025). Calibration of low-cost capacitive soil moisture sensors for irrigation management applications. Sensors, 25(2), 343. https://doi.org/10.3390/s25020343.
Ariffin, N., & Zin, R. M. (2021). An Internet of Things (IoT)-based plant irrigation and monitoring system for chili plant. Evolution in Electrical and Electronic Engineering, 2(2), 70–76. https://doi.org/10.30880/eeee.2021.02.02.009.
Fatimatuzzahra, F., Didik, L. A., & Bahtiar, B. (2020). Analisis periodisitas gempa bumi di wilayah Kabupaten Lombok Barat dengan menggunakan metode statistik dan transformasi wavelet. Jurnal Fisika dan Aplikasinya, 16(1), 33. https://doi.org/10.12962/j24604682.v16i1.5717.
Gupta, S., Chowdhury, S., Govindaraj, R., Amesho, K. T. T., Shangliar, S., Kadhila, T., & Ikela, S. (2025). Smart agriculture using IoT for automated irrigation, water and energy efficiency. Smart Agricultural Technology, 12, 101081. https://doi.org/10.1016/j.atech.2025.101081.
Hidayat, T. (2017). Internet of Things smart agriculture on ZigBee: A systematic review. Jurnal Telekomunikasi dan Komputer, 8(1), 75. https://doi.org/10.22441/incomtech.v8i1.2146.
Irsyam, M., Tanjung, A., & Studi Teknik Elektro Universitas Riau Kepulauan Batam, P. (2019). Sistem otomasi penyiraman tanaman berbasis Telegram. Sigma Teknika, 2(1), 81–94.
Krishnan, R. S., Julie, E. G., Robinson, Y. H., Raja, S., Kumar, R., Thong, P. H., & Son, L. H. (2020). Fuzzy logic-based smart irrigation system using Internet of Things. Journal of Cleaner Production, 252, 119902. https://doi.org/10.1016/j.jclepro.2019.119902.
Liu, X., Zhao, Z., & Rezaiepanah, A. (2025). Intelligent and automatic irrigation system based on Internet of Things using fuzzy control technology. Scientific Reports, 15, 14577. https://doi.org/10.1038/s41598-025-98137-2.
Morchid, A., Jebra, R., Khalid, H. M., El Alami, R., Qjidaa, H., & Ouazzani Jamil, M. (2024). IoT-based smart irrigation management system to enhance agricultural water security using embedded systems, telemetry data, and cloud computing. Results in Engineering, 23, 102829. https://doi.org/10.1016/j.rineng.2024.102829.
Munir, M. S., Bajwa, I. S., & Cheema, S. M. (2019). An intelligent and secure smart watering system using fuzzy logic and blockchain. Computers and Electrical Engineering, 77, 109–119. https://doi.org/10.1016/j.compeleceng.2019.05.006.
Pebralia, J., Fendriani, Y., Afrianto, M. F., & Syaila, C. N. (2024). Rancang bangun sistem pengukuran intensitas cahaya, suhu, dan kelembaban ruangan berbasis sensor DHT11 dan BH1750. JOP, 10(1), 37–42.
Rahayuningsih, Y., Nawawi Al Bantani, J. S., & others. (2020). Berbagai faktor internal dan eksternal serta strategi untuk pengembangan porang (Amorphophallus muelleri) di Provinsi Banten. Jurnal Kebijakan Pembangunan Daerah, 4(2), 77–92.
Reghukumar, A., & Vijayakumar, V. (2019). Smart plant watering system with cloud analysis and plant health prediction. Procedia Computer Science, 165, 126–135. https://doi.org/10.1016/j.procs.2020.01.088.
Sari, R., & Suhartati. (2015). Tumbuhan porang: Prospek dibudidayakan sebagai salah satu sistem agroforestry. Info Teknis EBONI, 12(2), 97.
Sintia, W., Hamdani, D., & Risianto, E. (2018). Rancang bangun sistem monitoring kelembaban tanah dan suhu udara berbasis GSM SIM900A dan Arduino Uno. Jurnal Kumparan Fisika, 1(2), 60-65.
Umbu, A. B. S. (2023). Kalibrasi sensor kelembapan tanah YL-69 untuk sistem pengukuran kelembapan tanah berbasis Arduino Uno. OPTIKA: Jurnal Pendidikan Fisika, 7(1), 62–71.
Widodo, A., & Sumaedy, A. (2023). Prototype deteksi hujan berbasis Arduino Uno menggunakan rain drop sensor module. Jurnal Teknik Informatika STMIK Antar Bangsa, 9(1), 18–24.
Zulfikar, M. (2018). Perancangan sistem penyiraman tanaman otomatis berbasis mikrokontroler ATmega328. Journal of Informatics and Computer Science, 4(1), 75-90.
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