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All Journal Energy: Jurnal Ilmiah Ilmu-ilmu Teknik
Muhammad Shodiq
Medical Informatics, Muhammadiyah University of Lamongan, 62218, Indonesia
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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Rule-Based System of Ammonia Gas Detection in Tofu Industry Based on Internet of Things and Cloud Muhammad Shodiq; Dianda Aryntya Firia Ferlania
ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK Vol. 15 No. 1 (2025): ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK (January-May 2025 Edition)
Publisher : Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.v15i1.1515

Abstract

Industry of tofu is one of the driving forces of the economy but also has a negative impact because the waste produced can pollute the environment if not handled properly. Tofu industry waste is usually in the form of liquid waste containing several gases that are harmful to human health such as ammonia. Ammonia is a pollutant gas that causes health problems such as respiratory disorders to death. Therefore, a system is needed that is able to detect ammonia levels in tofu industry liquid waste. The purpose of this study is to develop a system that can monitor and provide real-time hazard notifications if ammonia levels are at a safe threshold. This study uses a rule-based system method for grouping ammonia level data, the Internet of Things (IoT) for real-time data collection devices, and the cloud to store data generated from IoT devices. The results of the study showed that ammonia levels were <200 ppm so that they were included in the alert category because the effects caused could cause irritation to the eyes, nose and throat. 
Co-Authors Dianda Aryntya Firia Ferlania