PREDICTION OF RAINFALL DUE TO INTRA SEASONAL FACTORS IN THE EQUATOR AREA
The purpose of this study is to predict the amount of rainfall contributed only by intra-seasonal factors (MJO) with the study areas in Biak, Gorontalo, Kototabang, and Pontianak using the ARIMA method.The results showed that the study area studied around the equator (Kototabang, Pontianak, Gorontal...
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id-itb.:685102022-09-16T09:26:22ZPREDICTION OF RAINFALL DUE TO INTRA SEASONAL FACTORS IN THE EQUATOR AREA Kusfirdianti, Firda Indonesia Final Project ARIMA, equator, Madden Julian Oscillation, rainfall prediction INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/68510 The purpose of this study is to predict the amount of rainfall contributed only by intra-seasonal factors (MJO) with the study areas in Biak, Gorontalo, Kototabang, and Pontianak using the ARIMA method.The results showed that the study area studied around the equator (Kototabang, Pontianak, Gorontalo and Biak) generally had an equatorial type of rainfall pattern. Rainfall in the study area is predominantly influenced by annual (monsoon) and semi-annual (ITCZ) phenomena. Intra-seasonal phenomena (MJO) tend to exist, but do not significantly affect rainfall in the study area, which is around the equator. ARIMA provides a fairly good rainfall prediction result for a period that tends to be short. The monthly rainfall prediction generated from each study area has a value below 90 mm, with the lowest predicted rainfall in January in Gorontalo (42.57 mm), and the highest in February in Biak (86.83 mm). text |
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The purpose of this study is to predict the amount of rainfall contributed only by intra-seasonal factors (MJO) with the study areas in Biak, Gorontalo, Kototabang, and Pontianak using the ARIMA method.The results showed that the study area studied around the equator (Kototabang, Pontianak, Gorontalo and Biak) generally had an equatorial type of rainfall pattern. Rainfall in the study area is predominantly influenced by annual (monsoon) and semi-annual (ITCZ) phenomena. Intra-seasonal phenomena (MJO) tend to exist, but do not significantly affect rainfall in the study area, which is around the equator. ARIMA provides a fairly good rainfall prediction result for a period that tends to be short. The monthly rainfall prediction generated from each study area has a value below 90 mm, with the lowest predicted rainfall in January in Gorontalo (42.57 mm), and the highest in February in Biak (86.83 mm).
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| format |
Final Project |
| author |
Kusfirdianti, Firda |
| spellingShingle |
Kusfirdianti, Firda PREDICTION OF RAINFALL DUE TO INTRA SEASONAL FACTORS IN THE EQUATOR AREA |
| author_facet |
Kusfirdianti, Firda |
| author_sort |
Kusfirdianti, Firda |
| title |
PREDICTION OF RAINFALL DUE TO INTRA SEASONAL FACTORS IN THE EQUATOR AREA |
| title_short |
PREDICTION OF RAINFALL DUE TO INTRA SEASONAL FACTORS IN THE EQUATOR AREA |
| title_full |
PREDICTION OF RAINFALL DUE TO INTRA SEASONAL FACTORS IN THE EQUATOR AREA |
| title_fullStr |
PREDICTION OF RAINFALL DUE TO INTRA SEASONAL FACTORS IN THE EQUATOR AREA |
| title_full_unstemmed |
PREDICTION OF RAINFALL DUE TO INTRA SEASONAL FACTORS IN THE EQUATOR AREA |
| title_sort |
prediction of rainfall due to intra seasonal factors in the equator area |
| url |
https://digilib.itb.ac.id/gdl/view/68510 |
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