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Pengaruh ENSO terhadap Curah Hujan di Sulawesi Tengah Rangga, Imron Ade; Zuhrita, Annisa; Zalsabilah, Putri
Buletin GAW Bariri (BGB) Vol 6 No 2 (2025): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/bgb.v6i2.145

Abstract

The El Nino – Southern Oscillation (ENSO) has an influences rainfall variability in Central Sulawesi. This study aims to analyze the relationship between ENSO, measured using the Oceanic Nino Index (ONI), and rainfall anomalies at four observation locations: Stamet Luwuk, Poso, Toli – Toli, and Palu. Rainfall data were obtained from BMKG meteorological station observations, while ONI data were sourced from the Climate Prediction Center (CPC) for the period 1991–2024. Analysis was conducted using Pearson correlation and the coefficient of determination to assess the relationship between ENSO and rainfall anomalies. The study results indicate that, in general, El Nino tends to cause a decrease in rainfall, whereas La Nina is often associated with increased rainfall. However, the influence of ENSO is not uniform across all regions and largely depends on its intensity. A relatively strong negative correlation was found in Stamet Toli – Toli and Palu, whereas in Luwuk and Poso, other factors such as local atmospheric variability and intraseasonal phenomena played a more dominant role in determining rainfall patterns. Strong and Very Strong El Nino events have a more significant impact on reducing rainfall, while La Nina exhibits a more varied pattern of influence.
Hubungan Nilai Indeks Permukaan Terhadap Temperatur Permukaan Di Kabupaten Bantul Rachmadhani, Dini; Zalsabilah, Putri; Kamal, Muhammad; Widayani, Prima
Jurnal Pembangunan Wilayah dan Kota Vol 21, No 4 (2025): JPWK Volume 21 No. 4 December 2025
Publisher : Universitas Diponegoro Publishing Group, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/pwk.v21i4.71617

Abstract

Perkembangan kota yang pesat menyebabkan perubahan penggunaan lahan di wilayah sekitarnya, termasuk di Kabupaten Bantul. Penelitian ini bertujuan menganalisis hubungan antara  Normalized Difference Vegetation Index (NDVI), Normalized Difference Built-up Index (NDBI), Bare Soil Index (BSI), terhadap  Land Surface Temperature (LST) menggunakan data citra satelit Landsat serta teknik pemodelan spasial selama periode 2014, 2019, dan 2024. Hasil penelitian menunjukkan bahwa nilai NDVI, NDBI, dan BSI dan  LST mengalami fluktuasi tahunan berdasarkan perekaman tahun 2014, 2019, dan 2024. Hubungan NDVI dan LST menunjukkan korelasi negatif, dengan nilai R² tertinggi sebesar 0,5819 pada tahun 2014, yang mengindikasikan semakin tinggi NDVI, maka suhu permukaan tanah cenderung lebih rendah. Sedangkan, NDBI menunjukkan korelasi positif terhadap LST, dengan nilai R² tertinggi sebesar 0,5312 pada tahun 2014. Hubungan BSI terhadap LST juga menunjukkan korelasi positif, di mana semakin tinggi nilai BSI, suhu permukaan tanah semakin meningkat, khususnya pada tahun 2014, 2019, dan 2024.