Randwick International of Social Science Journal
Vol. 4 No. 1 (2023): RISS Journal, January

Predictive Analysis of Spatial Data and Time Series to Predict Earthquake Magnitudes by Using Data Mining Approach

Ignazio Ahmad Pasadana (Deparment of Computer Science, Universitas Sumatera Utara, Medan, Indonesia)
Herman Mawengkang (Deparment of Computer Science, Universitas Sumatera Utara, Medan, Indonesia)
Syahril Efendi (Deparment of Computer Science, Universitas Sumatera Utara, Medan, Indonesia)

Article Info

Publish Date
31 Jan 2023

Abstract

The suggested methodology presented in this work uses data mining to identify seismic zones and time series to forecast earthquake magnitudes. Utilize historical earthquake data gathered from the United States Geological Survey (USGS) and obtained by utilizing hierarchical and fartherst first clustering to predict seismic activity. Latitude and longitude cluster data were used to create a prediction model to forecast the size of upcoming earthquakes in the Nanggroe Aceh Darussalam region and its nearby areas.

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Journal Info
Randwick International of Social Science Journal
Website

Abbrev

rissj

Publisher

RIRAI Publisher

Subject

Humanities Social Sciences

Description

The RISS Journal publishes research and analysis papers in the fields of social science include humanities such as anthropology, business studies, communication studies, corporate governance, criminology, history, culture, cross-cultural studies, ethics, education, economy, geography, philosophy, ...