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A Bayesian network for earthquake prediction based on IoT system
Muhammad Ridwan Andi Purnomo

Department of Industrial Engineering, Faculty of Industrial Technology,
Universitas Islam Indonesia, INDONESIA


Yogyakarta, one of the city in Indonesia, has the most active volcano in Indonesia, namely Mount Merapi. Volcanic activity of Merapi often results in earthquakes, either weak or strong earthquakes. Those earthquakes sometime are dangerous to the community; therefore early warning system for earthquakes are very necessary. This paper presents development of earthquake sensor based on internet of things (IoT) system that equipped with a well known data mining techniques for prediction called Bayesian network. A sequential data about earthquakes occurrence has been used to predict earthquake occurrence in the future. A cloud database is used to store real time earthquake occurrence data and an application for mobile device is developed to predict occurrence of earthquake and visualise the data. The mobile device application will trigger an alarm for the user if earthquakes are predicted frequently

Keywords: Bayesian network, earthquake sensor, prediction, IoT

Topic: International Symposium of Engineering, Technology, and Health Sciences


Conference: The 3rd International Conference on Sustainability and Innovation (ICoSI 2019)

Plain Format | Corresponding Author (Muhammad Ridwan Andi Purnomo)

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