ANALISIS POLA CURAH HUJAN DI SULAWESI DENGAN METODE FAST FOURIER TRANSFORM (FFT) DAN EMPIRICAL ORTHOGONAL FUNCTION (EOF) MENGGUNAKAN MACHINE LEARNING

SETIYOWATI, DEVI ARISKA and Ariska, Melly (2025) ANALISIS POLA CURAH HUJAN DI SULAWESI DENGAN METODE FAST FOURIER TRANSFORM (FFT) DAN EMPIRICAL ORTHOGONAL FUNCTION (EOF) MENGGUNAKAN MACHINE LEARNING. Undergraduate thesis, Sriwijaya University.

Preview	Image RAMA_84203_06111282126052_cover.jpg - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (996kB) | Preview
	Text RAMA_84203_06111282126052.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (6MB) | Request a copy
	Text RAMA_84203_06111282126052_TURNITIN.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (6MB) | Request a copy
	Text RAMA_84203_06111282126052_0027088901_01_front_ref.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (1MB)
	Text RAMA_84203_06111282126052_0027088901_02.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (415kB) | Request a copy
	Text RAMA_84203_06111282126052_0027088901_03.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (336kB) | Request a copy
	Text RAMA_84203_06111282126052_0027088901_04.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (1MB) | Request a copy
	Text RAMA_84203_06111282126052_0027088901_05.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (222kB) | Request a copy
	Text RAMA_84203_06111282126052_0027088901_06_ref.pdf - Bibliography Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (245kB) | Request a copy
	Text RAMA_84203_06111282126052_0027088901_07_lamp.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (5MB) | Request a copy

Abstract

Rainfall in Indonesia is influenced by complex factors, including El Niño, La Niña, the Asian monsoon, diverse topography, and land-sea interactions, which shape varying weather patterns and rainfall intensity. This study analyzes rainfall patterns in Sulawesi Island from 1981 to 2015 using the Fast Fourier Transform (FFT) and Empirical Orthogonal Function (EOF) methods with a machine learning approach. The analysis results show that the EOF method successfully identifies three main modes of rainfall variability, with EOF Mode 1 capturing negative anomalies, while EOF 2 and EOF 3 capture both positive and negative rainfall anomalies. Meanwhile, the FFT analysis reveals monsoonal and equatorial rainfall patterns, with a 12-month annual cycle as the dominant pattern. Global factors such as ENSO and IOD also influence rainfall variability, impacting drought periods and increases in extreme rainfall.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Rainfall, Fast Fourier Transform (FFT), Empirical Orthogonal Function (EOF), Sulawesi
Subjects:	Q Science > QC Physics > QC980-999 Climatology and weather
Divisions:	06-Faculty of Education and Educational Science > 84203-Physics Education (S1)
Depositing User:	Devi Ariska Setiyowati
Date Deposited:	05 Mar 2025 05:14
Last Modified:	05 Mar 2025 05:14
URI:	http://repository.unsri.ac.id/id/eprint/167929

Actions (login required)

View Item