ANALISIS POLA CURAH HUJAN WILAYAH PESISIR TIMUR SUMBAGSEL BERBASIS MACHINE LEARNING SEBAGAI KONTRIBUSI MATA KULIAH FISIKA KOMPUTASI

FAIZA, RAHMAH LAILA and Ariska, Melly (2024) ANALISIS POLA CURAH HUJAN WILAYAH PESISIR TIMUR SUMBAGSEL BERBASIS MACHINE LEARNING SEBAGAI KONTRIBUSI MATA KULIAH FISIKA KOMPUTASI. Undergraduate thesis, Sriwijaya University.

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Abstract

Machine learning-based analysis of monsoon rainfall in the eastern coastal region of South Sumatra has been completed. The aim of this research is to analyze monsoonal rainfall in the eastern coastal region of South Sumatra based on machine learning. The research method used in this research is quantitative analysis using secondary data. The rainfall data used is from the Stations of the Meteorology, Climatology and Geophysics Agency, namely the Sultan Mahmud Badaruddin II Meteorological Station, the Radin Inten II Meteorological Station, and the Depati Amir Meteorological Station for the 1991-2020 period. The data analysis carried out was annual rainfall analysis, rainfall pattern analysis, climate change index analysis, analysis of factors that influence rainfall, namely ENSO and IOD, correlation analysis, and linear regression analysis using machine learning based on Python and Google Colab. Based on the analysis, the results show that rainfall in monsoon areas varies from 1,000 mm per year to more than 2,500 mm/year. Rainfall in monsoon areas has a unimodial pattern (one peak of the rainy season). Rainfall in the East Coast region of South Sumatra is influenced by ENSO and IOD. Combining the two together causes changes in rainfall. Both have an impact on annual rainfall and the values of the climate change indices PRCPTOT, SDII, CWD, and CDD.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Curah hujan, Pola curah hujan, Indeks perubahan iklim, ENSO, IOD,Korelasi, Regresi Linier, Machine learning, Python, dan Google colab.
Subjects:	Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA75 Electronic computers. Computer science Q Science > QC Physics > QC1-999 Physics
Divisions:	06-Faculty of Education and Educational Science > 84203-Physics Education (S1)
Depositing User:	Rahmah Laila Faiza
Date Deposited:	26 Mar 2024 10:57
Last Modified:	26 Mar 2024 10:57
URI:	http://repository.unsri.ac.id/id/eprint/142723

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