UNSUPERVISED MACHINE LEARNING FOR SEISMIC ANOMALY DETECTION: ISOLATION FOREST ALGORITHM APPLICATION TO INDONESIAN EARTHQUAKE DATA

Indonesia's position on the seismically active Pacific "Ring of Fire" necessitates advanced methods for earthquake detection and preparedness. This paper introduces an application of the Isolation Forest algorithm—an unsupervised machine learning technique—for detecting seismic anomal...

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Bibliographic Details

Published in:	Jurnal Lebesgue
Main Author:	Gregorius Airlangga
Format:	Article
Language:	English
Published:	Universitas Bina Bangsa 2023-12-01
Subjects:	earthquake unsupervised machine learning algorithm anomaly detection isolation forest algorithm
Online Access:	https://lebesgue.lppmbinabangsa.id/index.php/home/article/view/479