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ANALISIS DAN PREDIKSI PENGARUH KELEMBABAN UDARA TERHADAP CURAH HUJAN BULANAN 3 WILAYAH DI PROVINSI KALIMANTAN UTARA MENGGUNAKAN METODE REGRESI BERGANDA

Della Eva Youlistia, Riska Widiastuti, Dhita Putri Meirylia, Fidia Deny Tisna Amijaya, Andri Azmul Fauzi

Abstract


Rainfall is one of the key factors affecting climate and weather conditions, especially in tropical regions such as Central Kalimantan. This study aims to analyze and predict monthly rainfall in the regions of Buntok, Muara Teweh, and Palangka Raya using the multiple linear regression method. The data used in this study includes rainfall as the dependent variable, and air humidity as the independent variable. The analysis results show a significant relationship between rainfall in these three regions and air humidity. The resulting multiple linear regression model provides fairly accurate predictions, with regression coefficients indicating the contribution of each variable to rainfall. These predictions are expected to be useful for disaster risk management, urban planning, and water resource management in Central Kalimantan.

Keywords


rainfall, air humidity, multiple linear regression, Central Kalimantan, prediction.

References


Fadholi, A., 2013. Persamaan Regresi Prediksi Curah Hujan Bulanan Menggunakan Data Suhu dan Kelembapan Udara di Ternate. Jurnal Statistika, 13(1), 7-16.

Novianto, Y. dan Nataliani, Y. 2022. Peramalan Curah Hujan dengan Pengelompokan Bulan Menggunakan Metode Double Exponential Smoothing dari Brown. Jurnal Sistem dan Teknologi Informasi, 10(4), 347-354.

Putramulyo, S. dan Alaa, S. 2018. Prediksi Curah Hujan Bulanan di Kota Samarinda Menggunakan Persamaan Regresi dengan Predikator Data Suhu dan Kelembapan Udara. Eigen Mathematics Journal, 1(2), 13-16.

Yusuf, M. Setyanto, A. dan Aryasa, K. 2022. Analisis Prediksi Curah Hujan Bulanan Wilayah Kota Sorong Menggunakan Metode Multiple Regression. Jurnal Sains Komputer dan Informatika, 6(1), 405-417.


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DOI: 10.33751/interval.v4i2.11653 Abstract views : 52 views : 29

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