Magnitude of the damage and losses caused by natural disasters is huge for Indonesia, therefore this study aimed to analyze the effects of natural disasters for macroeconomic losses that occurred in 115 cities/districts across Java during 2012. Based on the results of previous studies it is suspected that it contains effects of spatial dependencies in this case, so that the completion of this case is performed using a regression approach to the area, namely Analysis of Spatial Durbin Model (SDM). The obtained significant predictor variable is population, and predictor variable with a significant weighting is the number of occurrences of disasters, i.e., disasters in the region which have an impact on other neighboring regions. Moran's I index value using the weighted Queen Contiguity also showed significant results, meaning that the incidence of disasters in the region will decrease the value of GDP in other.

Original languageEnglish
Title of host publicationSymposium on Biomathematics, SYMOMATH 2014
EditorsThomas Gotz, Agus Suryanto
PublisherAmerican Institute of Physics Inc.
Number of pages8
ISBN (Electronic)9780735412934
Publication statusPublished - 2015
Event2nd International Symposium on Biomathematics, SYMOMATH 2014 - Malang, East Java, Indonesia
Duration: 31 Aug 20142 Sept 2014

Publication series

NameAIP Conference Proceedings
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616


Conference2nd International Symposium on Biomathematics, SYMOMATH 2014
CityMalang, East Java


  • Disaster
  • Macro economic
  • Spatial Durbin Model


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