Rancang Bangun Pembersih Kandang Anak Ayam Menggunakan Konveyor Berbasis Internet Of Things

The cleanliness of chick coops is crucial, especially in large-scale poultry farms, as it directly affects the health and well-being of the chicks. Manual cleaning of coops can be very tiring and inefficient. This study aims to design and implement an automatic chick coop cleaning system based on a conveyor belt equipped with a DHT22 temperature sensor and an MQ-135 ammonia sensor, using an ESP32 module for automatic control and Internet of Things (IoT) integration. The results show that the system operates well, with temperature measurement errors ranging from 0% to 3,10% and ammonia measurements ranging from 7 to 40,00 ppm. To improve reliability, it is recommended to use sensors with higher accuracy and add an offline mode so the system can still function without an internet connectio

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Publication Details

Journal
Nucleus Journal
Published
2024-11-29
DOI
https://doi.org/10.32492/nucleus.v3i2.3205
Primary Topic
IoT-based Control Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Rancang Bangun Pembersih Kandang Anak Ayam Menggunakan Konveyor Berbasis Internet Of Things

Imamatul Ummah, Jati Widyo Leksono, Nailul Izzati, Ailillatur Rosadi
Nucleus Journal
IoT-based Control Systems
article

Rancang Bangun Pembersih Kandang Anak Ayam Menggunakan Konveyor Berbasis Internet Of Things

Imamatul Ummah, Jati Widyo Leksono, Nailul Izzati, Ailillatur Rosadi
article en

Abstract

The cleanliness of chick coops is crucial, especially in large-scale poultry farms, as it directly affects the health and well-being of the chicks. Manual cleaning of coops can be very tiring and inefficient. This study aims to design and implement an automatic chick coop cleaning system based on a conveyor belt equipped with a DHT22 temperature sensor and an MQ-135 ammonia sensor, using an ESP32 module for automatic control and Internet of Things (IoT) integration. The results show that the system operates well, with temperature measurement errors ranging from 0% to 3,10% and ammonia measurements ranging from 7 to 40,00 ppm. To improve reliability, it is recommended to use sensors with higher accuracy and add an offline mode so the system can still function without an internet connectio

Nucleus JournalVol. 3(2)
Agruicultural Research Institute (CY)
Openalex Percentile: Top 77%
IoT-based Control Systems
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