DATA PROCESSING METHODS IN MULTIMEDIA HOME PLATFORM APPLICATIONS FOR EARTHQUAKE EARLY WARNING OF POTENTIALLY TSUNAMI SERVICES BASED INTERACTIVE DIGITAL TELEVISION

Mahmudi, Ali (2014) DATA PROCESSING METHODS IN MULTIMEDIA HOME PLATFORM APPLICATIONS FOR EARTHQUAKE EARLY WARNING OF POTENTIALLY TSUNAMI SERVICES BASED INTERACTIVE DIGITAL TELEVISION. Journal of Theoretical and Applied Information Technology, 70 (3). pp. 1-20. ISSN 1992-8645 (Submitted)

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Abstract

Earthquake early warning service for tsunami is important for the public. On one side the service cannot be easily accessed by the public especially television users. On another side the development of television technology, especially digital television, should be much easier to access. The purpose of this research is to make the method of processing data in Multimedia Home Platform (MHP) Applications for Earthquake Early Warning of Potentially Tsunami Services. Earthquake and weather data are taken from the web site Application Programming Interface (API) by The Meteorology, Climatology, and Geophysics (BMKG) in Indonesia. The research method is parsing techniques eXtensible Markup Language (XML) with the Document Object Model (DOM). The time interval for data collection from the Web site of BMKG uses the method of Systematic Sampling. Therefore, MHP applications can update Earthquakes and weather data in real-time in a specified interval. The results of XML parsing form of tsunami potential earthquake data are recorded by MHP applications into file storage. The findings show that MHP applications can display earthquake early warning of potentially Tsunami information to users of television accordance with BMKG website in real time.

Item Type:	Article
Uncontrolled Keywords:	MHP application, eXtensible Markup Language, Document Object Model, Systematic Sampling
Subjects:	Engineering > Informatics Engineering
Divisions:	Fakultas Teknologi Industri > Teknik Informatika S1
Depositing User:	Mrs Retno Wulan Sari
Date Deposited:	23 Aug 2023 04:36
Last Modified:	23 Aug 2023 04:36
URI:	http://eprints.itn.ac.id/id/eprint/12669

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