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Sistem Pemadam Api Berbasis Internet of Things (IoT) dengan Integrasi Aplikasi Telegram Hadji, Farid Muhammad; Daffa Putra, Muhammad Reihan; Kusuma, Rizky Ade; Warohma, Ayu Mawadda
MDP Student Conference Vol 5 No 2 (2026): The 5th MDP Student Conference 2026
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v5i2.14529

Abstract

Residential fires are critical incidents that often result in severe material losses and casualties due to delayed detection and manual mitigation limitations. This study aims to design an Internet of Things (IoT)-based fire extinguishing system integrated with the Telegram application. The system utilizes an ESP32 microcontroller as the main processing unit, connected to a DHT11 temperature sensor, MQ-2 smoke sensor, and Flame Sensor. The research methodology involves hardware prototyping and implementing automatic control logic. The results demonstrate that the system successfully detects fire and smoke in real-time. Specifically, the Flame Sensor showed a rapid response time of 1.15 seconds, while the MQ-2 sensor detected smoke within 3.18 seconds. Upon detecting fire, the system automatically activates a 12V mini pump via a relay to simulate fire suppression and simultaneously sends immediate alert notifications to the user's smartphone via Telegram. This integrated solution offers a reliable rapid response mechanism to minimize fire damage.
Perancangan dan Implementasi Sistem Monitoring Suhu Ruang Server Berbasis IoT Menggunakan ESP32 dan Sensor DHT22 Putra, Muhammad Reihan Daffa; Kusuma, Rizky Ade; Trisaptono, Raymondus; Widiyanto, Eka Puji
MDP Student Conference Vol 5 No 2 (2026): The 5th MDP Student Conference 2026
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v5i2.15305

Abstract

This study aims to design and implement an Internet of Things (IoT)-based server room temperature monitoring system capable of real-time monitoring, critical temperature notification, and automatic historical data logging. An experimental method was employed by implementing a system using an ESP32 microcontroller, a DHT22 sensor, and IoT platforms including Blynk and Google Spreadsheet for data visualization and storage. System testing was conducted in a server room environment with an average sampling interval of approximately 8 minutes. The results show that the system successfully records and transmits temperature data with a data transmission success rate above 99%. The measured temperature ranged from 19.5 to 25 °C and did not exceed the predefined alarm threshold. These results indicate that the proposed system operates reliably and can effectively support continuous server room temperature monitoring.
Rancang Bangun Sistem Ruangan Cerdas Berbasis IoT dan MQTT Menggunakan Platform Node-RED Kusuma, Rizky Ade; Trisaptono, Raymondus; Marpaung, Bryant Valencio; Sumual, Willyam Lucas Haposan; Rahman, Abdul
MDP Student Conference Vol 5 No 2 (2026): The 5th MDP Student Conference 2026
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v5i2.15499

Abstract

Energy efficiency in modern housing has become a crucial challenge due to user negligence in turning off electrical appliances when not in use. Existing Smart Home automation systems are often constrained by communication latency issues and heavy reliance on manual remote control. This study aims to design and build an IoT-based smart room energy management system that implements hybrid control logic (automatic and manual) using the ESP32 microcontroller. The system integrates sensor fusion between ultrasonic sensors and light intensity sensors (LDR) for precise occupancy detection, as well as a Pulse Width Modulation (PWM) algorithm for fan speed regulation adaptive to room temperature. Data communication is established using the MQTT (Message Queuing Telemetry Transport) protocol connected to a Node-RED dashboard as a real-time monitoring interface. Repeated measurement test results indicate that the system successfully eliminates energy waste with a 100% automatic logic success rate, where lights automatically deactivate when the room is unoccupied. Furthermore, the system demonstrates high responsiveness with an average control command transmission latency of 156.6 ms. The implementation of this system offers an effective solution for energy saving without compromising the thermal and visual comfort of the occupants.