Skripsi
MODEL SEASONAL AUTOREGRESSIVE INTEGRATED MOVING AVERAGE DALAM MENGAMATI PERUBAHAN POLA CURAH HUJAN BERDASARKAN PERUBAHAN PERIODE WAKTU TERTENTU DI KOTA INDRALAYA TAHUN 2000-2019
The country of Indonesia has a strategic location and tropical climate that causes Indonesia to often experience climate change. Climate change information has an important role to prevent floods, droughts, and is related to determining the growing season. One of the most influential climatic factors is rainfall. This study aims to analyze whether there are differences in monthly rainfall patterns in Indralaya City, Ogan Ilir Regency in 2000-2019 in certain periods divided into twenty-year, ten-year, and five-year periods. The model used in this study is the Seasonal Autoregressive Integrated Moving Average (SARIMA) because rainfall is a time series data that has seasonal factors. The results of this study show a difference in rainfall patterns, namely for a period of 20 years for 2000-2019 the rainy season occurs every 6 months, for a period of 10 years there is a difference in the occurrence of the rainy season which is 12 months for 2000-2009 and 6 months for 2010-2019, for a period of 5 years there is also a difference in the occurrence of the rainy season which is 24 months for 2000-2004, 6 months for 2005-2009, 6 months for 2010-2014, and 12 months for 2005-2009.
Inventory Code | Barcode | Call Number | Location | Status |
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2407002418 | T142988 | T1429882024 | Central Library (References) | Available but not for loan - Not for Loan |
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