2017
DOI: 10.1088/1742-6596/893/1/012019
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Development of the statistical ARIMA model: an application for predicting the upcoming of MJO index

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Cited by 2 publications
(1 citation statement)
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“…5, there is a strong focus on flood modeling and mapping, representing almost one-third of all papers published since the year 2000. Flood models (Bahtiar et al, 2018;Farid et al, 2012;Formánek et al, 2013; and Santoso, 2019.; Hurford et al, 2010;Mishra et al, 2018;Ogie et al, 2016a;Remondi et al, 2016;Rojali et al, 2017;Takagi et al, 2016b;) and non-model-based flood analyses (Asmadin et al, 2018;Priambodo et al, 2018;Syafalni et al, 2015;Supomo et al, 2017), rainfall and/or runoff (Aditya et al, 2017;Anggraheni et al, 2018;Anindita et al, 2016;Farid et al, 2011;Hermawan et al, 2017;Kurniawan, 2019;Moe et al, 2017;Otsuka et al, 2017;Rafiei Emam et al, 2016;Riyando Moe et al, 2017) and non-modeled rainfall/runoff analyses Nuryanto et al, 2017;Wu et al, 2013), and models and analyses of land subsidence (Agustan et al, 2013;Andreas et al, 2019Andreas et al, , 2018Koudogbo et al, 2012;Park et al, 2016) all aim to better understand and simulate the physical factors that cause or influence flooding issues and measuring its impacts in Jakarta. The same holds true for flood damage or estimated loss models (Budiyono et al, 2015(Budiyono et al, , 2016Kurniyaningrum et al, 2019;Marko et al, 2019;Wahab and Tiong, 2017;…”
Section: Understanding the Drivers Of The Flood Hazardmentioning
confidence: 99%
“…5, there is a strong focus on flood modeling and mapping, representing almost one-third of all papers published since the year 2000. Flood models (Bahtiar et al, 2018;Farid et al, 2012;Formánek et al, 2013; and Santoso, 2019.; Hurford et al, 2010;Mishra et al, 2018;Ogie et al, 2016a;Remondi et al, 2016;Rojali et al, 2017;Takagi et al, 2016b;) and non-model-based flood analyses (Asmadin et al, 2018;Priambodo et al, 2018;Syafalni et al, 2015;Supomo et al, 2017), rainfall and/or runoff (Aditya et al, 2017;Anggraheni et al, 2018;Anindita et al, 2016;Farid et al, 2011;Hermawan et al, 2017;Kurniawan, 2019;Moe et al, 2017;Otsuka et al, 2017;Rafiei Emam et al, 2016;Riyando Moe et al, 2017) and non-modeled rainfall/runoff analyses Nuryanto et al, 2017;Wu et al, 2013), and models and analyses of land subsidence (Agustan et al, 2013;Andreas et al, 2019Andreas et al, , 2018Koudogbo et al, 2012;Park et al, 2016) all aim to better understand and simulate the physical factors that cause or influence flooding issues and measuring its impacts in Jakarta. The same holds true for flood damage or estimated loss models (Budiyono et al, 2015(Budiyono et al, , 2016Kurniyaningrum et al, 2019;Marko et al, 2019;Wahab and Tiong, 2017;…”
Section: Understanding the Drivers Of The Flood Hazardmentioning
confidence: 99%