CD Tesis
Pemodelan Distribusi Campuran Terhadap Data Tinggi Gelombang Tsunami Aceh
Tsunami is a series of ocean waves that can propagate at speeds of up to more than 900 km/hour. Aceh Province experienced an earthquake disaster on December 26, 2004 at 7:58:53 WIB with the power of 9 Richter scale. The earthquake in Aceh caused a tsunami disaster with a height of up to 30 m, and caused 250,000 deaths. This study has used data from the 2004 tsunami in Aceh. Tsunami wave height data that was successfully assisted by NASA satellites was used to obtain an opportunity model for the tsunami wave height in Aceh. The function of the log-normal mixture distribution probability density, gamma mixture distribution, Weibull mixture distribution was used in this study. The maximum likelihood method will be used to obtain the estimated tsunami wave height model parameter values used. Based on the smallest value of Akaike's Information Criterion (AIC) and Bayesian Information Criterion (BIC) of the three probability models of tsunami wave height, it can be concluded that the probability density function of gamma distribution is the best to describe the high pattern of tsunami waves that occurred in Aceh in 2004.
Keywords: tsunami, log-normal mixture distribution, gamma mixture distri- bution, Weibull mixture distribution, Maximum likelihood, akaike's information criterion (AIC), bayesian information criterion (BIC)
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