Decision Strategy for Landslide Event Based on 4 Parameters
Pramudhito Herlambang (a), Amin Suharjono (a), Muhammad Mukhlisin (b)
(a) Electrical Engineering Department, Politeknik Negeri Semarang
Jln. Prof. Soedharto, Tembalang, Semarang, Indonesia, 50272
(b) Civil Engineering Department, Politeknik Negeri Semarang
Jln. Prof. Soedharto, Tembalang, Semarang, Indonesia, 50272
Abstract
Landslides is 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 realtime 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 devise an algorithm for analyzing 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.
Keywords: Landslides, LoRa Bee, NodeMCU, Early Warning System, WSN, Decision
Topic: Electrical Engineering