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All Journal Journal of Applied Science, Technology & Humanities
Rizki Achmad Rifa'i Dwi Warno
IPB University
Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Social Sciences

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Computational Analysis of Mamdani Fuzzy Logic on Microcontrollers for Broiler Coop Microclimate Status Fathir Gunadireja; Ghina Rania; Revan Abdillah; Rhaqim Putra Alrusdi; Muhammad Faiz Assariy; Chika Hayya Sabillah; Rizki Achmad Rifa'i Dwi Warno
Journal of Applied Science, Technology & Humanities | JASTH Vol. 3 No. 3 (2026): June 2026
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/eraczj69

Abstract

This research investigates the critical necessity of microclimate regulation within broiler poultry housing by constructing a computational framework grounded in the Mamdani Fuzzy Inference System. Thermal fluctuations, relative humidity shifts, and ammonia accumulation are significantly correlated with poultry mortality rates. The proposed computational model acquires three input parameters (Temperature, Humidity, and Ammonia) to generate two decision variables (Fan Intensity and Coop Safety Status) through the evaluation of 27 logical rules. To ensure system reliability prior to hardware implementation on microcontrollers, the algorithm was validated using the MATLAB commercial simulator. The defuzzification process was executed utilizing the Center of Gravity (COG) approach, which was comparatively analyzed between theoretical mathematical calculations and software projections. The investigative results revealed a fundamental level of accuracy; manual computation recorded a value of 22.62, whereas the simulation instrument projected 22.60. The recorded margin of deviation was extremely reduced, standing at merely 0.088%. These findings confirm that the designed computational architecture is highly precise and strongly recommended for integration into Internet of Things (IoT) ecosystems for real-time agricultural automation.
Fuzzy Logic-Based Paddy Field Irrigation Control Using pH, Moisture, and Water Level Muhammad Sulthan Alfriansyah; Setya Mega Bagaskara; Ghazy Hassan; Chika Hayya Sabillah; Muhammad Faiz Assariy; Rizki Achmad Rifa'i Dwi Warno
Journal of Applied Science, Technology & Humanities | JASTH Vol. 3 No. 3 (2026): June 2026
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/zxfzgx38

Abstract

Efficient irrigation management is a crucial factor in increasing rice agricultural productivity and maintaining water resource sustainability. Conventional irrigation systems, which are still manually controlled, often lead to water waste, unstable soil moisture, and inappropriate water pH levels for plant growth. This research aims to design and implement a fuzzy logic-based rice field irrigation control system by considering three primary parameters: soil moisture, water level, and irrigation water pH. The system utilizes an Arduino Uno microcontroller integrated with a soil moisture sensor, an HC-SR04 ultrasonic sensor, and a pH sensor. The Mamdani Fuzzy Method is employed as the inference system to determine the opening angle of the water gate controlled by a servo motor. The rule base consists of 27 rules derived from the combination of three linguistic sets for each input variable. The defuzzification process uses the Centroid method to generate a crisp value in the form of the servo angle. The test results demonstrate that the system is capable of adaptively regulating water flow based on soil conditions and water quality, thereby reducing the risk of over-irrigation or under-irrigation. The proposed system exhibits more flexible performance compared to conventional threshold-based systems.
Co-Authors Chika Hayya Sabillah Fathir Gunadireja Ghazy Hassan Ghina Rania Muhammad Faiz Assariy Muhammad Sulthan Alfriansyah Revan Abdillah Rhaqim Putra Alrusdi Setya Mega Bagaskara