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  • 1. SIG-based Earthquake Information System Wina Witanti Falahah Yuliana
  • 2. Indonesia  Ring of fire  High risk of earthquake  Increasing the risk of some damaged disaster
  • 3. Earthquake Information System  Was developed by PVMBG  Using GIS Technology  information provided is not complete
  • 4. Current Problem  The existing website of earthquake could not accommodate all the required information because there are many tools that could not executed.  Geospatial data that is not managed properly so that the news delivered incomplete, both in mapping and news content.  There is no content mapping in detail is shown with a particular coloration to indicate areas prone to earthquakes are grouped according to the districts in Indonesia.  Mapping the earthquake information for 300 years (1629 – present)
  • 5. Proposed Solution Build a new web GIS Based Earthquake Information System which can provide :  Breaking news, information about recent earthquake.  Maps and Information, information about the region in Indonesia that have experienced earthquakes since 1629-now in spatial format.  Each area that have experienced earthquakes is marked with a dot on a map, and the news is displayed bellow.  The area which has more frequent earthquake is marked with specific colors.  Using Content Management System approach
  • 6. The Tools  Quantum GIS (digitizing tools)  Google Maps API (display the map interactively)  MySQL (as the database)
  • 7. Data flow diagram 1.0 Kelola Data Admin 2.0 Kelola Content 3.0 Kelola Shoutbox 4.0 Kelola Kategori Admin User data_admin username, password pesan_verifikasi info_content content_pilihan balasan_shoutbox data_user kategori_pilihan info_kategori data_user status_shoutbox balasan_shoutbox data_kategori data_content
  • 8. CMS Panel
  • 9. Main Panel
  • 10. Searching Facility
  • 11. Map of Earthquake region
  • 12. Conclusion  We can make a Geographic Information Systems ( GIS ) Mapping Earthquake Prone by using maps that have been digitized and provide features which include the provincial earthquake, year and magnitude , as well as showing seismic area with coloring based on the amount of the number of earthquakes that have occurred in the area.  Digitizing the map is done using Quantum GIS to create, store and process spatial data. The data then is stored in MySQL as textual database and using Google Maps API as supported tools to present the spatial data easily.  The website can display the information about earthquake more detail because it has news, video and has equipped with searching facility and the earthquake event for each area which categorized based on frequency. It expected to help the user to know which area with high risk of earthquake.
  • 13. Thank You