Data Clustering and Zonation of Earthquake Building Damage Hazard Area Using FKCN and Kriging Algorithm
Paper in LNCS Smart Innovation, Systems and Technologies Vol 26 by Springer, DOI : 10.1007/978-3-319-07353-8_20
The objective of this research is to construct the zonation
of earthquake building damage hazard area using fuzzy kohonen clustering
network (FKCN) algorithm for data clustering and kriging algorithm for data
interpolation. Data used consists of the earth data in the form of peak ground
acceleration (PGA), lithology and topographic zones and Iris plant database for
algorithm validation. This research is comprised into three steps which are
data normalization, data clustering and data interpolation using FKCN and
kriging algorithm and the construction of zonation. Clusterization produces
three classes of building damage hazard data. The first class is consisting of
medium PGA,dominantby high compaction lithology in the topography of inland
area. The second class with low PGA, dominant low compaction lithology in the
lowland topographic zone and the third class with high PGA, dominant by un-very
low compactionlithology in swamp topographic zone. Banda Aceh cityas location
sample is divided into three building damage hazard zone which is high hazard
zone, medium hazard zone and low hazard zone for building damage which is
located towards inland area.
Edy Irwansyah
and Sri Hartati
![](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhxQpWwu5dC_4G1uwr_fyXMsMEkaQt4eva08LNHRHC9H3BIj-0ktEZuLoNYZbxzBu2y5csVHrB3Ntfl5wCUlvgow6mAmusy6u7-PMJqsxRZqAx8Itxqx7yMKgq-jeUqmJ5H-82tXqlHH2iX/s1600/9783319073521.bmp)
Document URL :
http://link.springer.com/chapter/10.1007/978-3-319-07353-8_20
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