Electronic Theses and Dissertation

El-Nino Southern Oscillation (ENSO) derkaitan dengan anomali iklim di Indonesia, termasuk Tasikmalaya. Tujuan dari penelitian ini untuk mendapatkan klimatologi, variabilitas curah hujan dan korelasi antara ENSO dengan anomali curah hujan bulanan Tasikmalaya berdasarkan distribusi spasial dan temporalnya. penelitian ini dilakukan menggunakan data dari Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) dan data Nino Index dari National Oceanic and Atmospheric Administration (NOAA). Terdapat tiga metode yang digunakan, diantaranya metode rata-rata sederhana, Empricial Orthogonal Function (EOF) dan uji statistik menggunakan Uji-t. Hasil penelitian ini menunjukkan Tasikmalaya memiliki pola curah hujan monsun, pola curah hujan tersebut memiliki korelasi tinggi terhadap index ENSO. Puncak curah hujan tertinggi terjadi pada bulan Desember 388 mm/bulan dan yang terendah terjadi pada bulan Agustus 87 mm/bulan. Analisis EOF terhadap data curah hujan CHIRPS untuk Tasikmalaya menghasilkan tiga mode. Mode EOF pada bulan Agustus mampu menjelaskan 98,47% varians total, bulan April 99,32% varians total dan bulan Desember menjelaskan 99,63% varians total. Anomali curah hujan Tasikmalaya memiliki nilai korelasi yang rendah terhadap eksistensi ENSO. Korelasi tertinggi terjadi pada bulan Oktober dengan koefisien korelasi R = 0,457 dan memiliki korelasi sedang sebesar 45,7% keragaman anomali curah hujan disebabkan oleh ENSO. Sedangkan korelasi terendah terjadi pada bulan Juli dengan koefisien korelasi R = 0,022 dan memiliki korelasi sangat rendah, sebesar 2,2% keragaman anomali curah hujan disebabkan oleh ENSO.

Kata Kunci: El-Nino Southern Oscillation (ENSO), Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS), National Oceanic and Atmospheric Administration (NOAA), Empricial Orthogonal Function (EOF).

El-Nino Southern Oscillation (ENSO) is associated with climate anomalies in Indonesia, including in Tasikmalaya. The purpose of this study is to determine climate characteristics, rainfall variability, and the correlation between ENSO and monthly rainfall anomalies in Tasikmalaya based on spatial and temporal distribution. This research was conducted using data from Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and Nino Index data from the National Oceanic and Atmospheric Administration (NOAA). There are three methods used, including simple average method, Empricial Orthogonal Function (EOF) and statistical test using t-test. The results of this study show that Tasikmalaya has a monsoon rainfall pattern, this rainfall pattern has a high correlation with the ENSO index. The highest rainfall peak occurs in December 388 mm/month and the lowest occurs in August 87 mm/month. EOF analysis of CHIRPS rainfall data for the Tasikmalaya region produced three modes. The EOF mode in August explains 98.47% of the total variance, in April 99.32% of the total variance and in December explains 99.63% of the total variance. Tasikmalaya rainfall anomalies have a low correlation value to the presence of ENSO. The highest correlation occurs in October with a correlation coefficient of R = 0.457 and has a moderate correlation of 45.7% of the diversity of rainfall anomalies caused by ENSO. While the lowest correlation occurs in July with a correlation coefficient of R = 0.022 and has a very low correlation of 2.2% to the diversity of rainfall anomalies caused by ENSO. Keywords: El-Nino Southern Oscillation (ENSO), Climate Hazards Group InfraRed Precipitation With Station Data (CHIRPS), National Oceanic and Atmospheric Administration (NOAA), Empricial Orthogonal Function (EOF).