Data processing methods in multimedia home platform applications for earthquake early warning of potentially tsunami services based interactive digital television

Suhartono, Suhartono (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. 488-495. ISSN 1992-8645

Preview	Text 15Vol70No3.pdf Download (643kB) | Preview
	Image seventh3.php - Published Version Available under License Creative Commons Attribution Non-commercial. Download (172kB)

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:	Journal Article
Subjects:	08 INFORMATION AND COMPUTING SCIENCES > 0805 Distributed Computing > 080505 Web Technologies (excl. Web Search)
Divisions:	Faculty of Technology > Department of Informatics Engineering
Depositing User:	Dr Suhartono M.Kom
Date Deposited:	01 Nov 2016 13:49

Downloads

Origin of downloads

Actions (login required)

View Item