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All Journal Brilliance: Research of Artificial Intelligence JATAED: Journal of Appropriate Technology for Agriculture, Environment, and Development
Muhammed Saat Talib
University of Babylon, Iraq
Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Other

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Design of Smoke Detector for Smart Room Based on Arduino Uno Dirja Nur Ilham; Rudi Arif Candra; Muhammed Saat Talib; Mario di Nardo; Khusnul Azima
Brilliance: Research of Artificial Intelligence Vol. 1 No. 1 (2021): Brilliance: Research of Artificial Intelligence, Article Research May 2021
Publisher : ITScience (Information Technology and Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (31.184 KB) | DOI: 10.47709/brilliance.v1i1.1079

Abstract

Smoke is one of the air pollutions that is very detrimental to the health of both the smoker himself and others around him. Inhaling other people's smoke is even more dangerous than inhaling your own smoke. Even the dangers that must be borne by passive smokers are three times greater than the dangers of active smokers. Smoke is also very detrimental to the health of patients in hospitals, especially patients who suffer from asthma. For people with asthma who have problems in the respiratory tract, asthma can recur at any time due to inhaling smoke. This research will develop a smart room that can detect smoke to maintain and protect the room from smoke that interferes with health. The tool to be developed uses an MQ2 sensor, LCD, exhaust fan, buzzer, and Arduino Uno microcontroller. Where an MQ2 sensor is needed to detect smoke around it, an LCD is needed to display the percentage of smoke, a microcontroller as a controller for all components, a buzzer is used as an alarm when the smoke level in the room is unhealthy, and the exhaust fan functions as a sucker for dirty air so that the smoke level in the room can be reduced.
Performance Evaluation of a Microcontroller-Based Automatic Fish Weighing System Using Load Cell Sensor Dirja Nur Ilham; Muhammad Khoiruddin Harahap; Muhammed Saat Talib; Douglas pardede
JATAED: Journal of Appropriate Technology for Agriculture, Environment, and Development Vol. 3 No. 2 (2026): JATAED: Journal of Appropriate Technology for Agriculture, Environment, and Dev
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/jataed.v3i2.101

Abstract

The rapid advancement of automation technology in the fisheries sector has increased the demand for efficient and accurate fish weight measurement systems. Conventional manual weighing methods are often time-consuming and prone to human error, particularly in high-volume environments. This study aims to evaluate the performance of a microcontroller-based automatic fish weighing system using a load cell sensor with real-time output. The proposed system integrates a load cell sensor with an HX711 amplifier module and an Arduino Uno microcontroller to measure fish weight and display results instantly via an LCD. The performance evaluation focuses on key parameters, including accuracy, measurement error, response time, and system stability. Experimental testing was conducted by comparing prototype measurements with a standard digital scale under various load conditions. The results indicate that the system achieves high accuracy exceeding 98%, with an average error below 2%. The response time ranges between 1–2 seconds, demonstrating the system’s capability for real-time applications. Additionally, the system exhibits good stability with minimal fluctuations in repeated measurements. These findings suggest that the proposed prototype is reliable and efficient for practical use in aquaculture and fish market environments. The system also supports digital transformation in fisheries through improved measurement accuracy, reduced human error, and enhanced operational efficiency.
Co-Authors Candra, Rudi Arif Douglas pardede Ilham, Dirja Nur Khusnul Azima Mario di Nardo Muhammad Khoiruddin Harahap