Low-Cost IoT-Based Landslide Early Warning System

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Authors: Ahmad Mahfudh, Syifaa’ Muhammad Ihsan, Hasbi N. P. Wisudawan, Elvira Sukma Wahyuni
Cited by: 0

Abstract

EWS (Early Warning System) or commonly called an early warning system is an electronic circuit designed to detect systematically that will be monitored online. In this early warning system, it designs a landslide or landslide disaster. This tool uses two microcontrollers including Arduino Nano as a support for data results from both sensors and ESP32-DevKit V1 as a data receiver that has been processed on Arduino Nano and sending data to Blynk Console via 4G LTE WiFi Modem Module with a delay of 48 seconds to get a good signal and a delay of 30 seconds to initiate a connection with the ESP32 DevKit V1 microcontroller. The Slide Potentiometer Sensor which is used to determine the indication of a landslide shift, which has 2 parameters Alert (2-3 cm) and Warning (4-6 cm) with a sensor accuracy level of 98.48%, and has a Soil Moisture Sensor which plays an additional role and indication and humidity conditions in the soil with a sensor accuracy of 90.15%. Thus, both sensors are delivered in an integrated manner with the MQTT Blynk Console application which can provide real-time notifications.

Fields of Study & Subjects

Arduino and IoT Applications Landslides and related hazards Energy and Environmental Systems

Publication details

Journal / source
Proceedings of the National Conference on Electrical Engineering Informatics Industrial Technology and Creative Media
Volume
2025
Issue
1
Pages
323–327
Publication date
30 January 2026