Aris Gunadi, Dewi Oktofa Rachmawati

SISTEM DETEKSI GAS BERBASIS TEKNOLOGI IOT ARDUINO

Introduction

Sistem deteksi gas berbasis teknologi iot arduino. Sistem deteksi gas IoT berbasis Arduino untuk keamanan laboratorium FMIPA Undiksha. Menggunakan sensor MQ2/6, notifikasi WhatsApp/Telegram, akurasi deteksi 94.44%.

Abstract

Penelitian ini adalah penelitian dasar / fundamental , yang mencoba untuk mengimlementasikan konsep dan teori dalam bentuk sebuah aplikasi /penerapan toeri IoT, pengetahuan sensor. Tujuan penelitian ini adalah memberikan dukungan untuk keamanan di laboratorium FMIPA Undiksha. Sistem deteksi gas dirancang dengan menggunakan arduino uno , degan menintegrasikan beberapa device . Device yang digunakan adalah Sensor Gas MQ2/6, Device notifikasi kebocoran Gas LCD , lampu notif, dan media komunikasi whatsaap/telegram. Pengujian dilakukan dengan menggunakan Gas LPQ yang dibocorkan pada level 430 PPm, 465 PPm, dan 490 PPm. Sedangkan nilai ambang yang diseeting pada arduiono adalah 400 PPm. Pengujian dilakukan berdasarkan jarak 0 meter, 0.5 meter , dan 1 meter. Pada setiap level dan jarak tertentu dilakukan pengujian 6 kali. Total dari 54 kali pengujian , ditemukan 3 kali kesalahan deteksi. Sehingga akurasi pengujian sistem ini menunjukan nilai 94.44%

Review

The paper presents a fundamental research effort focused on developing an Internet of Things (IoT)-based gas detection system utilizing Arduino technology, specifically tailored for enhancing safety in the FMIPA Undiksha laboratory. The core objective is clearly defined: to implement theoretical concepts of IoT and sensor knowledge into a practical application for gas leak detection. The system integrates an Arduino Uno with an MQ2/6 gas sensor, providing multi-modal notifications through an LCD display, a notification lamp, and remote alerts via WhatsApp/Telegram. This well-defined scope and the direct application to a safety-critical environment highlight the immediate practical relevance of the research. A significant strength of this work lies in its comprehensive approach to system design and testing. The choice of Arduino and MQ series sensors represents a cost-effective and accessible platform for such applications, making the solution potentially viable for various educational and research settings. The integration of multiple notification channels—local visual (LCD, lamp) and remote digital (WhatsApp/Telegram)—is a commendable feature, ensuring robust communication of gas leak incidents. Furthermore, the testing methodology is structured, involving controlled release of LPQ gas at different concentrations (430, 465, 490 ppm) and distances (0, 0.5, 1 meter), with a set threshold of 400 ppm. The performance evaluation, based on 54 trials leading to a reported accuracy of 94.44%, provides a quantitative measure of the system's effectiveness. While the study demonstrates promising results, several areas could be explored further to enhance its robustness and scientific depth. The abstract mentions LPQ gas; specifying its exact chemical composition and corresponding safety thresholds would provide crucial context. A deeper discussion on the calibration process for the MQ2/6 sensor, its long-term stability, and potential cross-sensitivity to other gases commonly found in laboratory environments would be valuable. Understanding the nature of the three detected errors (e.g., false positives, false negatives, delayed detection) could inform future improvements. Additionally, comparing the system's performance and cost-effectiveness against existing commercial or academic gas detection solutions would strengthen its contribution to the field. Future work could also investigate the system's power consumption for continuous operation and its scalability for broader deployment within larger facilities.

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