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dc.contributor.advisorWigena, Aji Hamim
dc.contributor.advisorAidi, Muhammad Nur
dc.contributor.authorSyazwina, Fildzah Hanum
dc.date.accessioned2014-01-20T06:22:13Z
dc.date.available2014-01-20T06:22:13Z
dc.date.issued2013
dc.identifier.urihttp://repository.ipb.ac.id/handle/123456789/67156
dc.description.abstractIn recent years, combining of rainfall in a region is using average method. Beside average method, there are Sub Dimension Indicator Index (SDII) Range Equalisation (RE) and SDII Division by Mean (DM) that can be used to combine rainfall. The aim of this research is to compare three methods above based on forecasting result of time series data analysis. The data set of this research is monthly rainfall data from the period 1979 to 2008 located on 15 stations in the district of Indramayu, divided into two seasonal forecast regions. The data are grouped by month (January until December) then the next step is to calculate average and also weighted average based on SDII RE and SDII DM. The result of this research shows that three methods gave similar cross-correlation values, that are between 0.88 and 0.90.en
dc.language.isoid
dc.titlePembobotan Sub Dimension Indicator Index Untuk Penggabungan Curah Hujanen
dc.subject.keywordtime series data analysisen
dc.subject.keywordSDIIen
dc.subject.keywordDPMen


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