Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Jurnal ULTIMA Computing
Fadhliansyah, Ivan
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
IoT-Based Fire Detection System Using a Flame Detector and Arduino Uno R4 WiFi Dewi, Ratih; Fadhliansyah, Ivan; Ma'rufi, Riado; Lubis, Dwiki Ar-Raiyyan
ULTIMA Computing Vol 17 No 2 (2025): Ultima Computing: Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v17i2.4347

Abstract

According to data from the DORS POLRI application, there were 935 fire incidents recorded from January to October 7, 2024. Based on these data, a fire detection security system with early warning capabilities is needed to mitigate fire risks and prevent casualties. The system designed in this study is IoT-based, which sends notifications via Telegram when a fire is detected.The results of this research show that by reducing the sensor sensitivity to 33%, the sensor still performs well in detecting fire — it can detect a flame at a distance of 35 cm and detect light from an incandescent bulb at approximately 95 cm. However, the sensor cannot detect paraffin flames at distances of 10–50 cm because the paraffin flame’s wavelength lies outside the detectable range of the sensor.Thus, this system has proven effective in detecting fire and providing real-time automatic notifications via Telegram, allowing users to respond quickly when potential fire hazards occur.
Co-Authors Dewi, Ratih Lubis, Dwiki Ar-Raiyyan Ma'rufi, Riado