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Jurnal MSA ( Matematika dan Statistika serta Aplikasinya )
Article . 2024 . Peer-reviewed
License: CC BY NC
Data sources: Crossref
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Penerapan Metode Single Moving Average Dalam Peramalan Curah Hujan Kota Makassar

Authors: null Hilda Nurfaidah; null Wahyuni Abidin;

Penerapan Metode Single Moving Average Dalam Peramalan Curah Hujan Kota Makassar

Abstract

Hujan adalah salah satu elemen cuaca yang memiliki peran penting dalam membentuk kondisi atmosfer dan ekosistem di bumi. Saat ini, informasi mengenai hujan sangat dibutuhkan dalam kehidupan sehari-hari khususnya dalam sektor pembangunan, pariwisata, ekonomi, dan pertanian. dan tujuan penelitian, Peramalan hujan termasuk bagian dari suatu informasi yang bisa digunakan dalam melakukan pengamatan pada kondisi atmosfer untuk waktu yang akan datang sebagai hasil dari pemrosesan keadaan data hujan pada masa lampau. Ada beberapa cara yang bisa digunakan dalam meprediksi cuaca, salah satunya dengan menggunakan Single Moving Average (SMA). Metode Single Moving Average akan digunakan dalam penelitian ini. Pengujian model ramalan dengan menggunakan metode Single Moving Average pada Kota Makassar untuk curah hujan tahun 2022 diperoleh Mean Absolute Percentage Error (MAPE) adalah sebesar 1.27%. Hal itu menunjukkan metode Single Moving Average dapat digunakan untuk menghitung peramalan curah hujan dan mempunyai kemampuan model peramalan baik karena tingkat ketelitian hasil peramalan adalah sebesar 98,73%.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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