Decision strategy for landslide event based on 4 parameters

Landslides are typically caused by heavy rain in some locations that have a certain slope of land compounded by deforestation or earthquakes. For instance, in 2018 there were 148 reported landslides in the Banjarnegara highlands, Indonesia. By using that fact, some research has been done. The resear...

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Bibliographic Details
Published in:Journal of physics. Conference series 2020-04, Vol.1517 (1), p.12100
Main Authors: Herlambang, P, Suharjono, A, Mukhlisin, M
Format: Article
Language:English
Subjects:
Algorithms
Decision analysis
Decision making
Decision trees
Deforestation
Groundwater
Landslides
Parameters
Physics
Pressure sensors
Rain
Rain gauges
Sensors
Soil moisture
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Summary:Landslides are typically caused by heavy rain in some locations that have a certain slope of land compounded by deforestation or earthquakes. For instance, in 2018 there were 148 reported landslides in the Banjarnegara highlands, Indonesia. By using that fact, some research has been done. The research is about the indicator parameters of landslides by combining rain gauge sensors, soil moisture sensors, ground shift sensors and groundwater pressure sensors using Arduino Promini. The data from sensor is sent through LoRa Bee to the database server using NodeMCU ESP8266 which is connected to the Internet in real-time through access points. The data that has been sent to the server will be processed and displayed on the website. In this paper, the author devises an algorithm for analysing the data from each sensor to a decision-making strategy. The decision-making method for an early warning of landslides uses a decision tree that compares the measured parameters with a predetermined threshold of each sensor. After analysis and testing, this system is expected to provide early warning of the landslides quickly and accurately.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1517/1/012100