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Journal : Media of Computer Science

Chicken Cage Incubator Cooling Control System Using Fuzzy Logic Agni Dhewa, Oktaf; Aldiasa Pangestu Aji
Media of Computer Science Vol. 1 No. 1 (2024): June 2024
Publisher : CV. Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mcs.v1i1.177

Abstract

This research examines the impact of prolonged cooling time in the incubator of chicken coops on the well-being of chicks during the incubation process. Poorly maintained temperature conditions can jeopardize the health of chicks and diminish the overall productivity of poultry farming. To address this issue, the study develops an efficient temperature control system by integrating a peltier as the main cooling component and fuzzy logic control combined with a DC fan. Experimental results indicate that the developed system is capable of providing a robust response to temperature changes in the chicken coop incubator, with transient response values meeting the expected criteria. Consequently, this temperature control system holds the potential to enhance the performance of chicken coop incubators and reduce the risk of chick mortality during the incubation process. This research serves as an initial step in advancing better temperature control for chicken coop incubators in the future.
Design and Implementation of Update Script in the IoT-Based Smart Indoor Farming System Module at PT Inastek Using Over-the-Air Programming Aditya, Tomi; Dhewa, Oktaf Agni
Media of Computer Science Vol. 1 No. 2 (2024): December 2024
Publisher : CV. Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mcs.v1i2.201

Abstract

Extreme climate change significantly impacts Indonesia’s agricultural sector, a country with a large agrarian economy. Reduced crop productivity and in- creased risk of pest infestations threaten national food security. This study aims to develop a smart indoor farming system based on the Internet of Things (IoT) to enhance agricultural resilience and competitiveness through efficient technology. The method involves designing a system that integrates hardware and software, applying Over-The-Air (OTA) technology to update firmware on the ESP32 microcontroller. The system includes sensors, actuators, and a Human Machine Interface (HMI) that allows real-time monitoring and con- trol of plant growth conditions. Testing and validation were carried out to ensure the system’s reliability and stability. The results show that the in- tegration of OTA technology into the smart indoor farming system enables efficient firmware management, reducing the need for physical intervention, and improving flexibility in system maintenance. This system enhances the efficiency of managing plant growth in indoor environments and supports con- tinuous operational adjustments to dynamic conditions.