EEPIS Repository

Earthquake Density Measurement using Automatic Clustering

Sulistiawati, Amin Endah and Barakbah, Ali Ridho and Harsono, Tri and Setyowati, Yuliana (2014) Earthquake Density Measurement using Automatic Clustering. In: The Third Indonesian-Japanese Conference on Knowledge Creation and Intelligent Computing (KCIC) 2014, 25-26 March 2014, Malang, Indonesia.

[img] PDF (KCIC 2014 - 1) - Published Version
Restricted to Registered users only
Available under License Creative Commons Attribution No Derivatives.

Download (1702Kb)


    The government and earthquake associations have recorded the seismic data in spatial-temporal usually used to measure the earthquake intensity, but such information has not been processed to obtain the earthquake density. This condition makes it difficult to map all the risk, so it creates the lack of participatory development to the earthquake areas that have a high density. This research proposes a new approach for measuring the density of earthquake and performing automatic clustering with valley tracing method to detect the number of group spatial regions automatically from analysis of cluster moving variances. The density is obtained with a new approach that involves the area and the amount of data on clusters. This system follows the steps: (1) display the spatial-temporal earthquake dataset into a map, (2) create vector space data consist of temporal, spatial, and magnitude, (3) detect number of cluster with valley tracing method on automatic clustering, (4) calculate the earthquake density, and (5) display special temporal visualization with the cluster density measurement result. To perform the proposed idea, this system is examined with an experimental study for a series of quake about Indonesia and Japan during the last 50 years from ANSS catalog.

    Item Type: Conference or Workshop Item (Paper)
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
    Depositing User: Dr. Ali Ridho Barakbah
    Date Deposited: 22 Mar 2015 12:15
    Last Modified: 22 Mar 2015 12:15

    Actions (login required)

    View Item