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All Journal JIPFRI (Jurnal Inovasi Pendidikan Fisika dan Riset Ilmiah)
Fena Siska Putriyani
Universitas Sriwijaya
Education Physics

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Prediksi Perubahan Iklim Ekstrem di Kota Palembang dan Kaitannya dengan Fenomena El Niño-Southern Oscillation (ENSO) Berbasis Machine Learning Melly Ariska; Hamdi Akhsan; Muhammad Muslim; Muhammad Romadoni; Fena Siska Putriyani
JIPFRI (Jurnal Inovasi Pendidikan Fisika dan Riset Ilmiah) Vol. 6 No. 2 (2022): November Edition
Publisher : Universitas Nurul Huda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30599/jipfri.v6i2.1611

Abstract

The purpose of this study is to provide predictions of climate conditions and trend of temperature rise in the city of Palembang in the 21st century. The BMKG station data used, namely SK Palembang and SM SMB II from the 2000-2020 period were analyzed based on the agreement of the Expert Team for Climate Change Detection and Indices (ETCCDI). ). Analysis using google colab shows that rainfall in the city of Palembang has a fairly high variability and a decrease in the number of rainy days that occur in the city of Palembang with the trend of air temperature, namely TMAXmean and TMINmean, has increased significantly by 2.40C for 50 years. Based on the correlation analysis between rainfall and El Niño-Southern Oscillation (ENSO) with Google Colab, a negative relationship was found. The El Niño-Southern Oscillation (ENSO) index used is the Niño 3.4 index. The study concluded that although the geographical location of Palembang city is located in the Asian Monsoon area, the ENSO phenomenon does not significantly affect rainfall variability in Palembang city.
Co-Authors Hamdi Akhsan Melly Ariska Muhammad Muslim Muhammad Romadoni