Data Pipeline Engineering untuk LSTM Forecasting Seismisitas Melalui Integrasi Proses ETL Katalog Gempa Indonesia

Abstract
Indonesia, as a country with the highest seismicity in the world, requires an accurate earthquake prediction system through the use of the BMKG earthquake catalogue. This research aims to implement ETL-based data pipeline engineering to process 92,887 earthquake catalog entries for the 2008-2023 period into ready-to-use daily time series for the LSTM seismicity forecasting model. The ETL process includes raw data extraction, cleaning of 97% missing values columns on focal mechanism parameters, datetime conversion, daily resampling producing 5,200 entries with earthquake count, total magnitude, and average magnitude features, as well as Min-Max Scaler normalization for LSTM compatibility. The dataset was processed using Google Colab with a stacked LSTM architecture of two layers of 50 and 25 units, dropout 0.2, Adam optimizer, and a sequence window of 30 days to predict the daily earthquake count. The model trained for 100 epochs shows the ability to capture stable seismic activity trends with a consistent decrease in MSE loss, although it shows deviations in extreme spikes due to aftershock sequences. The ETL pipeline proved crucial in ensuring temporal consistency, 100% data completeness, and relevant physics representation, resulting in a reproducible end-to-end framework for disaster mitigation.
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How to Cite

Dewa Gde Agung Wisnu Anantha, et al. (2026). Data Pipeline Engineering untuk LSTM Forecasting Seismisitas Melalui Integrasi Proses ETL Katalog Gempa Indonesia. Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika, 4(1). https://doi.org/10.61132/merkurius.v4i1.1426

Dewa Gde Agung Wisnu Anantha; I Wayan Sudiarsa; I Kadek Adi Erawan; I Ketut Okta Suastika; Gde Wardika Nugraha, "Data Pipeline Engineering untuk LSTM Forecasting Seismisitas Melalui Integrasi Proses ETL Katalog Gempa Indonesia," Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika, vol. 4, no. 1, 2026.

Dewa Gde Agung Wisnu Anantha; I Wayan Sudiarsa; I Kadek Adi Erawan; I Ketut Okta Suastika; Gde Wardika Nugraha. "Data Pipeline Engineering untuk LSTM Forecasting Seismisitas Melalui Integrasi Proses ETL Katalog Gempa Indonesia." Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika, vol. 4, no. 1, 2026.

Dewa Gde Agung Wisnu Anantha; I Wayan Sudiarsa; I Kadek Adi Erawan; I Ketut Okta Suastika; Gde Wardika Nugraha. "Data Pipeline Engineering untuk LSTM Forecasting Seismisitas Melalui Integrasi Proses ETL Katalog Gempa Indonesia." Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika 4, no. 1 (2026).

Dewa Gde Agung Wisnu Anantha, et al. (2026) 'Data Pipeline Engineering untuk LSTM Forecasting Seismisitas Melalui Integrasi Proses ETL Katalog Gempa Indonesia', Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika, 4(1). doi: 10.61132/merkurius.v4i1.1426.

Dewa Gde Agung Wisnu Anantha; I Wayan Sudiarsa; I Kadek Adi Erawan; I Ketut Okta Suastika; Gde Wardika Nugraha. Data Pipeline Engineering untuk LSTM Forecasting Seismisitas Melalui Integrasi Proses ETL Katalog Gempa Indonesia. Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika. 2026;4(1).

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