Dani Al Mahkya, Khairil Anwar Notodiputro, Bagus Sartono
Some of the collected data may have a non-normal distribution. One approach that can be used to model the phenomenon of data having non-normal response variables and random effects is the Generalized Linear Mixed Model (GLMM). In its development, the GLMM model can be combined with a decision tree-based method approach called the GLMM tree. Flooding is one of the problems faced by all local governments in Indonesia. Based on data from bnpb.go.id, in 2021 there were 724 flood disasters spread across almost all provinces in Indonesia. And the number of victims reached 4,682,923 people and 99,841 buildings were affected. This study aims to model the phenomenon of flooding that occurred in Indonesia with the GLMM tree approach. The focus of the research that will be discussed is related to flood victims and flood disasters that occurred in Indonesia. The data used in this study is secondary data obtained from several related institutions' websites. This research is expected to be input in terms of decision making and so on. © 2024 American Institute of Physics Inc.. All rights reserved.
Actuarial Science Study Program, Institut Teknologi Sumatera, South Lampung, Indonesia; Department of Statistics, IPB University, Bogor, Indonesia
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