Peramalan curah hujan di Provinsi Aceh menggunakan metode Box-Jenkins

Floods are one of the natural disasters that frequently occur in Indonesia, including in Aceh Province. Floods primarily occur when rainfall is intense, mainly in the rainy season. Flood disaster management in Aceh Province is still not optimal, so efforts are required to minimize the negative effec...

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Main Authors: Nurhafifah Nurhafifah, Ferdy Patriardian, Alfy Hidayati, Ratu Rahil Alzahira, Deva Jhuandra Tasyant, Samsul Anwar
Format: Article
Language:English
Published: Department of Mathematics FMIPA University of Jember 2023-03-01
Series:Majalah Ilmiah Matematika dan Statistika
Online Access:https://jurnal.unej.ac.id/index.php/MIMS/article/view/34702
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author Nurhafifah Nurhafifah
Ferdy Patriardian
Alfy Hidayati
Ratu Rahil Alzahira
Deva Jhuandra Tasyant
Samsul Anwar
author_facet Nurhafifah Nurhafifah
Ferdy Patriardian
Alfy Hidayati
Ratu Rahil Alzahira
Deva Jhuandra Tasyant
Samsul Anwar
author_sort Nurhafifah Nurhafifah
collection DOAJ
description Floods are one of the natural disasters that frequently occur in Indonesia, including in Aceh Province. Floods primarily occur when rainfall is intense, mainly in the rainy season. Flood disaster management in Aceh Province is still not optimal, so efforts are required to minimize the negative effects of the flood disaster. One of the efforts that can be done is to predict the rainfall that may occur in the future. This study aims to predict rainfall in Aceh Province in 2022 and 2023. The data employed are monthly rainfall data in Aceh Province from 2014 to 2021. The forecasting method employed to predict rainfall is the Autoregressive Moving Average (ARMA) model. Forecasting results using the ARMA (8,6) model show that rainfall in Aceh Province in 2022 and 2023 are predicted to tend to be intense in March, April, May, September, October and November. The Aceh government together with the district/city governments need to prepare anticipatory steps, for example by cleaning water flows like ditches and rivers and socializing about the dangers of flooding and its causes, especially for people living in watersheds. These actions are expected to minimize the potential for flooding in Aceh Province in the future, especially when rainfall is predicted to be intense. Keywords:Aceh Province, box-jenkins, flood, forecasting, rainfall MSC2020:62M10
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spelling doaj.art-35de088fef9d4e52a06406f0f6b8eca12023-04-27T00:35:36ZengDepartment of Mathematics FMIPA University of JemberMajalah Ilmiah Matematika dan Statistika1411-66692722-98662023-03-0123111410.19184/mims.v23i1.3470234702Peramalan curah hujan di Provinsi Aceh menggunakan metode Box-JenkinsNurhafifah Nurhafifah0Ferdy Patriardian1Alfy Hidayati2Ratu Rahil Alzahira3Deva Jhuandra Tasyant4Samsul Anwar5Jurusan Statistika, FMIPA, Universitas Syiah KualaJurusan Statistika, FMIPA, Universitas Syiah KualaJurusan Statistika, FMIPA, Universitas Syiah KualaJurusan Statistika, FMIPA, Universitas Syiah KualaUniversitas Syiah KualaJurusan Statistika, FMIPA, Universitas Syiah KualaFloods are one of the natural disasters that frequently occur in Indonesia, including in Aceh Province. Floods primarily occur when rainfall is intense, mainly in the rainy season. Flood disaster management in Aceh Province is still not optimal, so efforts are required to minimize the negative effects of the flood disaster. One of the efforts that can be done is to predict the rainfall that may occur in the future. This study aims to predict rainfall in Aceh Province in 2022 and 2023. The data employed are monthly rainfall data in Aceh Province from 2014 to 2021. The forecasting method employed to predict rainfall is the Autoregressive Moving Average (ARMA) model. Forecasting results using the ARMA (8,6) model show that rainfall in Aceh Province in 2022 and 2023 are predicted to tend to be intense in March, April, May, September, October and November. The Aceh government together with the district/city governments need to prepare anticipatory steps, for example by cleaning water flows like ditches and rivers and socializing about the dangers of flooding and its causes, especially for people living in watersheds. These actions are expected to minimize the potential for flooding in Aceh Province in the future, especially when rainfall is predicted to be intense. Keywords:Aceh Province, box-jenkins, flood, forecasting, rainfall MSC2020:62M10https://jurnal.unej.ac.id/index.php/MIMS/article/view/34702
spellingShingle Nurhafifah Nurhafifah
Ferdy Patriardian
Alfy Hidayati
Ratu Rahil Alzahira
Deva Jhuandra Tasyant
Samsul Anwar
Peramalan curah hujan di Provinsi Aceh menggunakan metode Box-Jenkins
Majalah Ilmiah Matematika dan Statistika
title Peramalan curah hujan di Provinsi Aceh menggunakan metode Box-Jenkins
title_full Peramalan curah hujan di Provinsi Aceh menggunakan metode Box-Jenkins
title_fullStr Peramalan curah hujan di Provinsi Aceh menggunakan metode Box-Jenkins
title_full_unstemmed Peramalan curah hujan di Provinsi Aceh menggunakan metode Box-Jenkins
title_short Peramalan curah hujan di Provinsi Aceh menggunakan metode Box-Jenkins
title_sort peramalan curah hujan di provinsi aceh menggunakan metode box jenkins
url https://jurnal.unej.ac.id/index.php/MIMS/article/view/34702
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AT alfyhidayati peramalancurahhujandiprovinsiacehmenggunakanmetodeboxjenkins
AT raturahilalzahira peramalancurahhujandiprovinsiacehmenggunakanmetodeboxjenkins
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AT samsulanwar peramalancurahhujandiprovinsiacehmenggunakanmetodeboxjenkins