Monitoring · IoT · IEEE
Talenta Lestari
Real-time landslide early-warning system for Aribaya Village on LPWAN — published at IEEE ISRITI 2025.
- Role
- Researcher & Developer
- Context
- Research · Telkom University
- Year
- 2025
- Status
- Completed
01 / Overview
About the project
A prototype early warning system for landslides in Aribaya Village, Pagentan, Banjarnegara. Field sensors measure soil moisture, rainfall and ground movement, and report over a Low Power Wide Area Network built for long range and low power.
The monitoring dashboard visualizes live and 24-hour historical data and classifies risk as Safe, Alert or Danger. The work was published at the 8th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI), IEEE 2025.
02 / Highlights
What it does
- 01
Live soil moisture, rainfall and ground-shift monitoring
- 02
Three-level warning status: Safe, Alert, Danger
- 03
24-hour history, trends and data export
- 04
LPWAN links for remote, low-power deployment
- 05
Published in IEEE conference proceedings
03 / Gallery
Screens & moments
A closer look at the product — interfaces, flows and details.
- DashboardScreenshot coming soon01
- Sensor detailScreenshot coming soon02
- HistoryScreenshot coming soon03
- Field deviceScreenshot coming soon04