Building Damage Hazard Zonation Using Fkcn and Idw Algorithm
نویسنده
چکیده
The objective of this study is to create building damage hazard zonation area using fuzzy kohonen clustering network (FKCN) for physical parameter data clustering and inverse distance weighting (IDW) for data interpolation in Banda Aceh city, Indonesia. IDW algorithm is used alongside FKCN because of its simplicity. The physical parameter in this study consists of lithology, topographic zone and peak ground acceleration value (PGA). The result is Banda Aceh city divided into 3 zones which are low, medium, and high building damage area, based on the combination of physical parameter on each area.
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