Integration of Multi-Platform IoT System for Earthquake Detection via Telegram and WhatsApp

Abstract

Earthquakes are natural disasters that can cause significant damage to infrastructure and endanger 
human lives. Therefore, early detection and rapid information dissemination are essential aspects of risk 
mitigation. Previous studies have developed earthquake detection systems based on the Internet of Things 
(IoT), but most were limited to a single communication platform, resulting in restricted information coverage 
and less optimal notification speed. This study aims to design and develop an IoT-based earthquake detection 
system integrated with multi-platform communication to provide real-time alerts via Telegram and WhatsApp 
applications. The system employs the MPU6050 sensor to detect ground vibrations, which are then converted 
into Richter Scale (SR) values as indicators of earthquake magnitude. If the SR value exceeds a certain 
threshold, the system automatically sends notifications to users through Telegram and WhatsApp, while 
simultaneously activating a buzzer and displaying information on the LCD. The test results indicate that the 
system can detect vibrations with SR values ranging from 0.67 to 5.10. The average notification delivery time 
was recorded at 1.4 seconds for Telegram and 2.6 seconds for WhatsApp. The contribution of this study is the 
integration of IoT with two popular communication platforms simultaneously, thereby expanding coverage, 
accelerating information delivery, and enhancing the effectiveness of earthquake disaster mitigation.