#TITLE_ALTERNATIVE#

• Main Author: AGAVIE PRADANA (NIM : 10108021); Pembimbing : Dumaria R. Tampubolon, Ph.D, ADRIAN
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/17798
• Institution: Institut Teknologi Bandung

Catastrophic event especially earthquake may cause a great financial losses. Catastrophe modelling can be used to measure such losses. In this final project report,the magnitude of earthquake mainshocks in Megathrust Mid 2 Sumatera (0.128 LU 5.418 LS, 97.298 BT 101.947 BT) and Megathrust Java (5.979 LS 13.6 LS, 104.029 BT 114.829 BT) is modeled using a probabilistic model, namely Generalized Pareto distribution (GPD). The goodness of fit tests are carried out using Kolmogorov Smirnov test, Anderson Darling test, and Cramer von-Mises test. With = 5% significance level, and a threshold value of 5.4, the Cramer von-Mises test showed that the magnitude of the earthquake mainshocks in Megathrust Mid 2 Sumatera can be modeled by a Generalized Pareto distribution with= 0:14447 and = 0:30891. With= 1% significance level, and a threshold value <br /> <br /> <br /> <br /> <br /> of 5.6, the Cramer von-Mises test showed that the magnitude of the earthquake ma- inshocks in Megathrust Java can be modelled with a Generalized Pareto distribution with = 0:15268 and = 0:24132.