Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Prosiding Seminar Nasional Teknologi Informasi dan Bisnis
Noviadhi Kusuma
Universitas Duta Bangsa Surakarta
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering Physics

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

Found 1 Documents
Search

 1 
Simulasi Sistem Peringatan Dini Kebakaran Rumah Berbasis IoT Menggunakan Sensor MQ-2, DHT22, dan ESP32 Muhammad Mukhlisul Fuad; Noviadhi Kusuma; Surya Prana S; Pramono -
Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Prosiding Seminar Nasional Teknologi Informasi dan Bisnis (SENATIB) 2026
Publisher : Fakultas Ilmu Komputer Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Fire incidents are among the most destructive disasters, often resulting in significant material losses and casualties. Therefore, an effective, accurate, and real-time fire detection system is essential to enhance building safety. This study presents the design and simulation of an Internet of Things (IoT)-based early fire detection system using an ESP32 microcontroller integrated with MQ-2, DHT22, and LDR sensors. The system is developed and tested using the Wokwi simulation platform and connected to the Blynk application for real-time remote monitoring via a smartphone. The MQ-2 sensor is used to detect smoke or flammable gas concentration, the DHT22 sensor monitors temperature and humidity, while the LDR sensor detects light intensity changes representing flame presence. The system operates based on predefined threshold values, where a hazardous condition is triggered when MQ-2 readings exceed 300 ppm, temperature reaches or exceeds 50°C, or LDR values fall below 100. Simulation results show that the system is capable of accurately identifying normal and fire conditions using multi-sensor data fusion. When a fire condition is detected, the system automatically activates a buzzer, relay, LED indicators, and sends real-time notifications to the user’s smartphone. The proposed system demonstrates potential as a low-cost and reliable solution for early fire detection in residential environments.
Co-Authors Muhammad Mukhlisul Fuad Pramono - Surya Prana S