TELKOMNIKA Telecommunication, Computing, Electronics and Control
Comparison of machine learning performance for earthquake prediction in Indonesia using 30 years historical data
Dublin Core
Title
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Comparison of machine learning performance for earthquake prediction in Indonesia using 30 years historical data
Comparison of machine learning performance for earthquake prediction in Indonesia using 30 years historical data
Subject
Big data, Earthquake, Machine learning, Multinomial logistic regression, Na ̈ıve bayes, Prediction, SVM
Description
Indonesia resides on most earthquake region with more than 100 active volcanoes, and high number of seismic activities per year. In order to reduce the casualty, some method to predict earthquake have been developed to estimate the seismic movement. However, most prediction use only short term of historical data to predict the incoming earthquake, which has limitation on model performance. This work uses medium to long term earthquake historical data that were collected from 2 local government bodies and 8 legitimate international sources. We make an estimation of a medium-to-long term prediction via machine learning algorithms, which are multinomial logistic regression, support vector machine and Na ̈ıve Bayes, and compares their performance. This work shows that the support vector machine outperforms other method. We compare the root mean square error computation results that lead us into how concentrated data is around the line of best fit, where the multinomial logistic regression is 0.777, Na ̈ıve Bayes is 0.922 and support vector machine is 0.751. In predicting future earthquake, support vector machine outperforms other two
methods that produce significant distance and magnitude to current earthquake report.
methods that produce significant distance and magnitude to current earthquake report.
Creator
I Made Murwantara, Pujianto Yugopuspito, Rickhen Hermawan
Source
DOI: 10.12928/TELKOMNIKA.v18i3.14756
Publisher
Universitas Ahmad Dahlan
Date
June 2020
Contributor
Sri Wahyuni
Rights
ISSN: 1693-6930
Relation
http://journal.uad.ac.id/index.php/TELKOMNIKA
Format
PDF
Language
English
Type
Text
Coverage
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Files
Collection
Citation
I Made Murwantara, Pujianto Yugopuspito, Rickhen Hermawan, “TELKOMNIKA Telecommunication, Computing, Electronics and Control
Comparison of machine learning performance for earthquake prediction in Indonesia using 30 years historical data,” Repository Horizon University Indonesia, accessed November 13, 2024, https://repository.horizon.ac.id/items/show/3834.
Comparison of machine learning performance for earthquake prediction in Indonesia using 30 years historical data,” Repository Horizon University Indonesia, accessed November 13, 2024, https://repository.horizon.ac.id/items/show/3834.