Rainfall prediction in the district of Lima Puluh Kota using a Fourier transformation approach

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Rizki Zakwandi, Warsnono, Rena Denya Agustina, Ade Yeti Nuryantini

2023 AIP Conference Proceedings Vol. 2646 Conference paper Cited by 0 Quartile

Abstract

Rainfall data is very useful information for agricultural communities, especially those that depend on rainfed irrigation systems. The availability of information regarding rainfall predictions will help the community to make plans and avoid crop failure. Rain cycle can be predicted using rainfall data; however, rainfall data is non-periodic data. The study of prediction of non-periodic phenomena could be discussed using the Fourier approach, especially the Fourier transform. This study aims to predict rain cycle in the district of Lima Puluh Kota. The data in this study were collected from online data published by Meteorology, Climatology, and Geophysics Agency (BMKG) with the Minangkabau Meteorological Station as reference station. Analysis was conducted on rainfall data from January 2010 to December 2020 (132 months). The study results show that the rain cycle period in the district of Lima Puluh Kota ranges from 9 to 10 months. This study explains the rainy season pattern that occurs in the district of Lima Puluh Kota, shifted. Besides, these results also explain the change of the rainy season in the last decade, that started from September to February to be less short. © 2023 Author(s).

Affiliations

Master Program of Physics Education, Faculty of Mathematics and Natural Sciences, Universitas Negeri Yogyakarta, Yogyakarta, Indonesia; Physics Education Department, Faculty of Mathematics and Natural Sciences, Universitas Negeri Yogyakarta, Yogyakarta, Indonesia; Physics Education Department, Faculty of Tarbiya and Teacher Training, UIN Sunan Gunung Djati, Bandung, Indonesia