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Perancangan Sistem Otomatisasi dan Monitoring Kandang Ayam Broiler Berbasis Long Range (Lora) dan Internet of Things (IoT) Indra Fauzan Dzakiy; Elang Derdian Marindani; Syaifurrahman
Journal of Innovative and Creativity Vol. 5 No. 2 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i2.488

Abstract

Peternakan ayam broiler memiliki permintaan tinggi dan membutuhkan pemeliharaan optimal. Banyak peternak masih menggunakan metode manual dalam menjaga suhu kandang, yang berisiko menyebabkan kelalaian. Selain itu, peningkatan gas amonia (NH3) dapat berdampak buruk pada kesehatan ayam. Penelitian ini merancang sistem otomatisasi dan monitoring kandang berbasis LoRa dan IoT untuk memantau konsentrasi gas amonia (NH3) secara real-time serta mengaktifkan sistem otomatis jika kadar konsentrasi gas amonia (NH3) melebihi 5 PPM. Sistem ini menggunakan sensor MQ-135 untuk mendeteksi konsentrasi gas amonia (NH3) dan sensor DHT11 untuk mengukur suhu serta kelembapan. Mikrokontroler ESP32 Devkit dengan modul LoRa SX1278 mengirim data ke Blynk Apps dan Blynk Web Dashboard, memungkinkan pemantauan jarak jauh. Hasil pengujian menunjukkan akurasi sensor MQ-135 sebesar 97,06% dan sensor DHT11 sebesar 97,60%. Komunikasi LoRa mampu menjangkau 220 meter di area perumahan dengan waktu pengiriman rata-rata 0,229 detik. Sistem ini meningkatkan efisiensi dan keandalan pemantauan kandang ayam broiler.
Iot-Based Hydroponic Monitoring System For Pakcoy Cultivation Using The Nutrient Film Technique (NFT) Zikril Huda; Elang Derdian Marindani; Bomo Wibowo Sanjaya
PROtek : Jurnal Ilmiah Teknik Elektro Vol 13 No 3 (2026): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v13i3.11311

Abstract

The rapid reduction of agricultural land in urban areas necessitates the development of efficient and scalable farming systems. This study aims to develop an IoT-based monitoring and control system for hydroponic pakcoy cultivation using the Nutrient Film Technique (NFT), with a focus on improving environmental stability and supporting sustainable urban farming. The proposed system integrates multiple sensors, including pH, Total Dissolved Solids (TDS), water temperature, air temperature, and humidity sensors, with Arduino Uno and ESP32 microcontrollers. The system enables real-time data acquisition, cloud-based monitoring via Firebase, and automatic control of nutrient conditions using threshold-based mechanisms. The accuracy of the system was evaluated using the Mean Absolute Percentage Error (MAPE) method by comparing sensor readings with standard instruments. The results show that all sensors achieved excellent accuracy, with MAPE values of 1.36% for water temperature, 2.15% for air temperature, 1.38% for humidity, 5.52% for pH, and 7.82% for TDS. Furthermore, the system successfully maintained key hydroponic parameters within optimal ranges (pH 5.5–6.5 and TDS 1050–1400 ppm), which are essential for nutrient availability and plant growth. This stability reduces environmental fluctuations and minimizes plant stress, thereby supporting more consistent growth conditions for pakcoy cultivation. In addition, the implementation of real-time monitoring and automated control reduces manual intervention and improves operational efficiency in urban hydroponic systems. These findings demonstrate that the proposed IoT-based system not only provides accurate environmental monitoring but also contributes to improving the reliability and efficiency of hydroponic farming, making it a promising solution for sustainable urban agriculture.