Article Per Year (5 Year)
p-Index From 2021 - 2026
1.588
P-Index
This Author published in this journals
All Journal Jurnal EECCIS Oetoesan-Hindia: Telaah Pemikiran Kebangsaan Jurnal Jaringan Telekomunikasi West Science Interdisciplinary Studies West Science Interdisciplinary Studies Science Information System and Technology
Saptono, Rachmad
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Social Sciences Other

Published : 11 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 11 Documents
Search

 1   2 
Monitoring and Controlling System for Ammonia and Methane Gas in Broiler Chicken Farms Using Fuzzy Mamdani-Based Hybrid Junus, Mochammad; Saptono, Rachmad; Putri Nabila, Anggraeni
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 19 No. 3 (2025)
Publisher : Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v19i3.1805

Abstract

The broiler poultry industry significantly contributes to food security by supplying animal protein; however, it also generates harmful gases such as ammonia (NH?) and methane (CH?) from accumulated waste. These gases not only endanger poultry health but also contribute to environmental pollution and climate change. This research proposes the development of an Internet of Things (IoT)-based monitoring and control system for ammonia and methane gas levels in broiler chicken farms. The system employs MEMS NH? and MQ4 gas sensors integrated with an ESP32 microcontroller, and applies the Mamdani fuzzy logic method to classify gas levels into safe, unhealthy, or dangerous categories. Based on the fuzzy output, a water pump powered by a hybrid solar energy system is activated automatically to reduce gas concentrations. Data is transmitted in real-time to a Firebase database and can be accessed via an Android application supporting both manual and automatic control modes. Experimental results demonstrate the system's effectiveness in detecting gas levels accurately and responding efficiently to maintain a healthy farm environment while utilizing renewable energy sources.
Co-Authors Abdul Rasyid Arum Dimarsasi, Ivana Harsanti, Nella Abda Putri Mas'udia, Putri Elfa Mochammad Junus Purnamasari, Sinta Winda Putri Nabila, Anggraeni Rieke Adriati Wijayanti Rozaq, Naufal Abdir S., Farida Arinie Soelistianto, Farida Arinie Sujai, M. Syirajuddin Syirajjudin, Muhammad Waluyo Waluyo Yulianto, Ahmad Wilda