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Implementation of Markov Chain in Detecting Opportunities for Natural Disasters in Klaten (Case Study: Number of Floods, Landslides, and Hurricanes 2019-2020)

Authors :
Afdelia Novianti
Dina Tri Utari
Source :
Enthusiastic : International Journal of Applied Statistics and Data Science; Volume 1 Issue 2, October 2021; 58-67
Publication Year :
2021
Publisher :
Universitas Islam Indonesia (Islamic University of Indonesia), 2021.

Abstract

Java Island is one of the areas that is very fertile and densely populated, but on the other hand, Java Island is also one of the areas that is most frequently hit by natural disasters, one of which is Klaten Regency. Natural disaster itself is an event that threatens and disrupts human life caused by nature. Some of the natural disasters that often occur simultaneously in Klaten Regency are floods, landslides, and hurricanes. These three disasters usually occur during the rainy season. This of course makes the government need to take action by seeing the large chance of a disaster occurring in order to optimize disaster management. Then research will be carried out that aims to determine the chances of natural disasters occurring in the next few years. Forecasting will be carried out using the Markov chain method, with this method the probability value of the future period can be estimated using the current period probability value based on the characteristics of the past period. So that the value of the steady state chance of floods and landslides in period 36 (December 2023) and hurricanes in period 15 (March 2022) with the chances of a disaster are 34.21%, 15.38%, and 73.53%, respectively.Received August 31, 2021Revised October 27, 2021Accepted November 11, 2021

Details

ISSN :
27983153 and 2798253X
Volume :
1
Database :
OpenAIRE
Journal :
Enthusiastic : International Journal of Applied Statistics and Data Science
Accession number :
edsair.doi.dedup.....c4ebf7c0ff60b9b1ca2354298a30daef
Full Text :
https://doi.org/10.20885/enthusiastic.vol1.iss2.art2