<![CDATA[Liquefied Petroleum Gas (LPG) leakage is one of the major causes of household fires. This study aims to design and develop an Internet of Things (IoT)-based LPG gas leakage detection system using an ESP32 microcontroller and an MQ-2 gas sensor. The system implements a dual-threshold rule method that classifies conditions into three categories: Safe (<100 PPM), Warning (100–299 PPM), and Danger (≥300 PPM), while controlling an LED, buzzer, and exhaust fan as early warning devices. The testing results show that the system is capable of detecting gas concentrations within a range of 2.0 PPM to 10000.0 PPM, activating warning devices according to the detected condition, and sending real-time notifications to the user's smartphone through the Telegram application. In addition, monitoring data, including date, time, PPM values, and system status, are automatically stored in Google Spreadsheet every 15 seconds. Based on the testing results, the developed system performs effectively as an LPG gas leakage detection and monitoring device for household applications.]]>
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