Article Per Year (5 Year)
p-Index From 2020 - 2025
1.857
P-Index
This Author published in this journals
All Journal Journal of Engineering, Electrical and Informatics (JEEI) INFORMATIKA Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal Teknik Informatika dan Teknologi Informasi Teknik: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Jurnal Abdimas Indonesia Journal of Technology Informatics and Engineering
Bagus Sudirman
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences Other

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

Found 11 Documents
Search

 1   2 
SISTEM PROTOTYPE KEBOCORAN GAS LPG MENGGUNAKAN ESP8266 DAN API TELEGRAM DENGAN METODE FUZZY Yustian Ario Susanto; Dendy Kurniawan; Ahmad Ashifuddin Aqham; Edy Siswanto; Bagus Sudirman
Informatika: Jurnal Teknik Informatika dan Multimedia Vol. 5 No. 2 (2025): Oktober : JURNAL TEKNIK INFORMATIKA DAN MULTIMEDIA
Publisher : LPPM Politeknik Pratama Kendal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/informatika.v5i2.1381

Abstract

Although LPG is widely utilized in homes and restaurants, gas leaks pose a significant risk of deadly fire and explosion.   The objective of this project is to combine the Mamdani fuzzy logic technique, MQ-6 gas sensor, flame sensor, and ESP8266 microcontroller to create an Internet of Things (IoT)-based prototype system for detecting LPG leaks.   The system includes a servo motor, LCD, relay, buzzer, and real-time notifications using the Telegram app.   The research process employed was prototyping, which encompasses requirements analysis, design, implementation, and testing of hardware and software.   In order to classify the environment into three safety conditions—danger, alert, and safe—sensor data from gas and flame detectors was interpreted using Mamdani fuzzy logic.   The experiment results showed that the system could detect changes in gas concentration and the presence of fire in real time with speed and accuracy.   The fuzzy logic approach makes decisions more smoothly than conventional logic, allowing for early identification even at low gas levels.   Telegram messages were effective in providing users with timely alerts to take preventative action.   In conclusion, by serving as an early warning system for LPG leaks, the proposed prototype system increases safety in residences and food stalls.  Additionally, it could serve as a foundation for the creation of more comprehensive IoT-based fire detection systems.
Co-Authors Ahmad Ashifuddin Aqham Dendy Kurniawan Eko Siswanto Haris Ihsanil Huda Indra Ava Dianta Laksamana Rajendra H.A.F Moh Muthohir Munifah Nuris Dwi Setiawan Okky Dwianto Wahyu Nugrohojati Selli Selfiyanti Sigit Umar Anggono Siska Setiani Siswanto, Edy Sukemi Kamto Sudibyo Tiara Ayu Marensa Yosep Aditya Wicaksono Yustian Ario Susanto