Visualization of Data on Earthquake Prone Areas from the Analysis of Earthquake Data Vibrations
Abstract
The earthquake is a natural disaster that often occurs in Indonesia recorded 50 times in 2019 which is the largest contributor to losses both houses, public facilities, and the second casualties after the tsunami. The cause of the many losses from earthquakes is the detection and notification, as well as earthquake monitoring is still relatively slow, by using earthquake vibration data we can analyze earthquake-prone areas from indicators of magnitude, frequency, depth, as well as the risk of loss if affected by a disaster especially the earthquake in this study required a data house design to do ETL (Extract, Transform, Load) using Pentaho data integration which transforms data into OLAP then vibration data is analyzed using Fuzzy Topsis method to determine earthquake-prone areas then data is displayed using Desktop Tableau provide information to the regional service to find out earthquake-prone areas and the risk of losses to be monitored, overcome and early notice to the public.