SISTEM DETEKSI JATUH PADA LANSIA DENGAN NOTIFIKASI TELEGRAM

Abstract

In 2024, 12 percent of Indonesia's population, or approximately 33 million people, are elderly—a number that continues to increase each year. Elderly individuals often experience physical limitations, making them more vulnerable to falls. Falling is a common problem among older adults, frequently leading to injury or even death. Continuous supervision is crucial for elderly people who are at high risk of falling. However, it is not always possible for family members to be physically present at all times to monitor them directly. Therefore, remote monitoring using current technology can be a viable solution.This study aims to develop a prototype for a fall detection monitoring system for the elderly using the MPU-6050 sensor, which integrates an accelerometer and gyroscope, along with NodeMCU as the controller for transmitting movement data. The system processes acceleration and orientation data on the X, Y, and Z axes from the accelerometer and gyroscope to differentiate between normal activities and falling incidents. When a fall is detected, the system sends a real-time Telegram notification directly to family members.