Journal of ICT Research and Applications ITB Bandung Vol. 15 No. 1 2021
Tsunami Impact Prediction System Based on TsunAWI Inundation Data

Journal of ICT Research and Applications ITB Bandung Vol. 15 No. 1 2021
Tsunami Impact Prediction System Based on TsunAWI Inundation Data

early warning system; inundation data analysis; tsunami impact prediction system; tsunami modeling; tsunami warning information.

Abstract. It is very important for tsunami early warning systems to provide inundation predictions within a short period of time. Inundation is one of the factors that directly cause destruction and damage from tsunamis. This research proposes a tsunami impact prediction system based on inundation data analysis. The inundation data used in this analysis were obtained from the tsunami modeling called TsunAWI. The inundation data analysis refers to the coastal forecast zones for each city/regency that are currently used in the Indonesia Tsunami Early Warning System (InaTEWS). The data analysis process comprises data collection,
data transformation, data analysis (through GIS analysis, predictive analysis, and simple statistical analysis), and data integration, ultimately producing a precalculated inundation database for inundation prediction and tsunami impact prediction. As the outcome, the tsunami impact prediction system provides
estimations of the flow depth and inundation distance for each city/regency incorporated into generated tsunami warning bulletins and impact predictions based on the Integrated Tsunami Intensity Scale (ITIS-2012). In addition, the system provides automatic sea level anomaly detection from tide gauge sensors by applying a tsunami detection algorithm. Finally, the contribution of this research is expected to bring enhancements to the tsunami warning products of InaTEWS.

Yedi Dermadi & Yoanes Bandung

DOI: 10.5614/itbj.ict.res.appl.2021.15.1.2

IRCS-ITB

07 Mei 2021

Sri Wahyuni

ISSN: 2337-5787

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Journal of ICT Research and Applications ITB Bandung Vol. 15 No. 1 2021