G-Connect: Real-Time Early Warning System for Landslide Data Monitoring

Riasetiawan, Mardhani and Prastowo, Bambang Nurcahyo and Putro, Nur Achmad Sulistyo and Dhewa, Oktaf Agni and Baktiar, Faris Yusuf (2019) G-Connect: Real-Time Early Warning System for Landslide Data Monitoring. In: 6th International Conference on Instrumentation, Control, and Automation (ICA) Bandung, Indonesia. 31 July – 2 August 2019.

[thumbnail of G-Connect_Real-Time_Early_Warning_System_for_Landslide_Data_Monitoring.pdf] Text
G-Connect_Real-Time_Early_Warning_System_for_Landslide_Data_Monitoring.pdf
Restricted to Registered users only

Download (599kB) | Request a copy

Abstract

The landslide event is one of the disaster events that commonly happened in Indonesia. The events need to be attention to mitigate with IoT, cloud and big data technology solution. The problem is the time and condition that support the occurrence of the events. G-Connect is the research on real-time early warning system for the landslide that build based on the single board computer, sensors, cloud storage and early warning application. G-Connect has been implemented in Sendang Village in Wonogiri Region, Indonesia that well known as one of the disaster area. The G-Connect land-slide Early Warning System (EWS) system development is outline mapped into 3 subsystems. These sub-systems consist of electrical power system or power supply technology, data acquisition and management data systems. © 2019 IEEE.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Cited by: 2
Uncontrolled Keywords: landslide, G-Connect, Early Warning System, IoT, Cloud
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Mathematics and Natural Sciences > Computer Science & Electronics Department
Depositing User: Sri JUNANDI
Date Deposited: 10 Feb 2026 01:48
Last Modified: 10 Feb 2026 01:48
URI: https://ir.lib.ugm.ac.id/id/eprint/25269

Actions (login required)

View Item
View Item