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Application of the Nonhomogeneous Poisson Process for Counting Earthquakes

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Nonhomogeneous Poisson processes are Poisson processes with parameters that depend on time and not constant from time to time, also mutually independent. In addition, the probability of no occurrence in the initial state is one and the probability of the n event in the initial state is zero. In this study, nonhomogeneous Poisson processes were applied to predict and count the number of earthquake events in Indonesia. Because earthquakes that occur in Indonesia from one month to the next do not affect each other and the numbers are not the same, by not paying attention to the geophysical cause of the earthquake. The data used in the study is the occurrence of earthquakes in Indonesia from January 2016 to July 2018, sourced from the Meteorology, Climatology and Geophysics Agency obtained online. The results were obtained that the odds of predicting dan counting the occurrence of earthquakes in Indonesia in the first week of December 2018 were around 184 times with a standard deviation of around 14 times.
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  • Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Indonesia
  • Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Indonesia
  • Department of Mathematics, Faculty of Mathematics and Natural Science, Universitas Padjadajran, Indonesia
  • Department of Marine Sciences, Faculty of Fishery and Marine Sciences, Universitas Padjadjaran, Indonesia
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