Landslide 2.0: A Remote Landslide Detector Based on Internet of Things Made by FMIPA UI
Based on data released by National Disaster Management Authority (BNPB) on its official website, throughout 2022 there were 834 cases of landslides in Indonesia. This disaster is the highest compared to tornadoes (635 cases) and floods (584 cases) out of a total of 2,322 cases. As a result, 753 buildings were damaged, 735 residents were affected, and 7 people died.
Seeing these conditions, Research Team from the Faculty of Mathematics and Natural Sciences, Universitas Indonesia (FMIPA UI), consisting of Dr. Parluhutan Manurung (Geography), Dr. Supriyanto (Geosciences), and Iskandar Koto, M.Sc. (Geosciences), developed Landslide 2.0, which is Landslide Early Warning System (LEWS) for online monitoring of landslides. By detecting changes in distance and slope in landslide-prone areas, this early warning system uses a laser distance sensor that is operated continuously from the monitoring location via cellular communication data transmission or Internet of Things (IoT) communication.
The design, components, and workings of Landslide 2.0 are made as concise as possible to make it more affordable considering that landslides occur in almost all parts of Indonesia. This warning system is made more practical so that all people can operate it. In addition, Landslide 2.0 is equipped with a radio to reach remote areas that do not have telecommunication access and is equipped with a small 12-watt peak (WP) solar panel as an eco- friendly energy source. With good care, this tool can be used optimally within five years.
Landslide 2.0 works by monitoring distance changes or cracks as an indication of ground movement through a laser rangefinder sensor placed on one side of the monitoring pole. The complexity of these changes needs to be confirmed by monitoring the verticality or perpendicular of the monitoring poles. If the change in the measured distance has exceeded the threshold, the system will give a warning to the user to avoid landslide-prone areas. Monitoring results are also transferred to the cloud server system to be displayed online and in real time on the website.
Dr. Parluhutan stated that local monitoring in various landslide-prone locations could be integrated nationally so that patterns of ground movement in various areas could be analyzed in a comprehensive and complete manner. This community-based innovation technology is expected to support landslide disaster risk reduction, especially in settlements of low-income community.
“It is hoped that the innovation and independence of Landslide 2.0 technology can be applied in various landslide-prone locations throughout Indonesia. Affordable prices allow us to assist the community and regional policy makers in building an independent early warning system in their respective regions,” said Dr. Parluhutan.
Landslide 2.0, which was designed in August 2020, continues to be developed and improved until now. The tool has been tested for six months in Bojong Koneng area, Bogor, West Java and has proven to be quite effective in monitoring ground movements before landslides and sending early warnings in real time to the community. With a relatively affordable price, which is IDR 30–50 million, the community can operate Landslide 2.0 to independently build an early warning system for landslides in their respective areas.
Author: Sasa
