DESIGN AND DEVELOPMENT OF AN INTERNET OF THINGS-BASED MONITORING SYSTEM FOR PULLET CHICKENS COOP

I Made Madukara; I Gusti Made Ngurah Desnanjaya; I Nyoman Buda Hartawan; Anak Agung Gde Ekayana; I Gede Adnyana

Authors

I Made Madukara Prodi Sistem Komputer, Institut Bisnis dan Teknologi Indonesia
I Gusti Made Ngurah Desnanjaya Prodi Sistem Komputer, Institut Bisnis dan Teknologi Indonesia
I Nyoman Buda Hartawan Prodi Sistem Komputer, Institut Bisnis dan Teknologi Indonesia
Anak Agung Gde Ekayana Prodi Sistem Komputer, Institut Bisnis dan Teknologi Indonesia
I Gede Adnyana Prodi Sistem Komputer, Institut Bisnis dan Teknologi Indonesia

Keywords:

Pullet Chicks, Monitoring, IoT, Anemometer

Abstract

Pullet chicks require optimal care from hatching to 17 weeks to ensure healthy growth and minimize farmer losses. Traditional coop monitoring systems face significant limitations, including the lack of real-time tracking, automation, and reliance on manual observations, which are prone to errors. This study develops an Internet of Things (IoT)-based coop monitoring system to address these challenges by tracking environmental conditions in real-time using WiFi connectivity through the Research and Development (R&D) method. The system integrates NodeMCU ESP32, DHT22 sensor, MQ-135, anemometer, relay, lamp, 20x4 LCD, and a MySQL database, programmed with PHP and Kotlin. Testing results demonstrate that the system accurately records environmental data over thirteen days, generating 1,897 entries at 10-minute intervals. The recorded temperature ranged from 27.01°C to 31.98°C, humidity from 78.45% to 94.23%, ammonia gas levels from 0.96 ppm to 1.81 ppm, and wind speed from 0.01 m/s to 1.29 m/s. The automatic heating system performed optimally, activating below 28°C and deactivating above 28°C, ensuring stable coop temperatures. This system provides real-time environmental monitoring and automated controls, addressing the limitations of traditional systems. It offers a practical solution for enhancing pullet coop management, with significant potential for broader implementation in poultry farming.

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