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dc.contributor.advisorSyahputra, Muhammad Romi
dc.contributor.authorSitompul, Kevin Frans Mateus
dc.date.accessioned2025-07-25T02:41:05Z
dc.date.available2025-07-25T02:41:05Z
dc.date.issued2025
dc.identifier.urihttps://repositori.usu.ac.id/handle/123456789/107405
dc.description.abstractRainfall is the accumulation of water on a flat surface. One millimeter of rainfall means that in an area of one square meter on a flat surface, the accumulated water has a height of one millimeter within a certain period of time. The purpose of this study is to understand the relationship and evaluate the effectiveness between independent and dependent variables in the context of rainfall. This study uses Multiple Linear Regression Method on secondary data obtained from the Central Statistics Agency (BPS) of North Sumatra. The results of the analysis show that in the simultaneous test, the calculated F-value is 8.12 and the table F-value is 2.90. This means that if the calculated F-value is greater than the table F-value, then H1 is accepted, indicating a direct influence between the number of rainy days, air temperature, wind speed, and air pressure on the rainfall index simultaneouslyen_US
dc.language.isoiden_US
dc.publisherUniversitas Sumatera Utaraen_US
dc.subjectRainfallen_US
dc.subjectMultiple Linear Regressionen_US
dc.subjectSimultaneous Testingen_US
dc.titleAnalisis Tingkat Curah Hujan Dan Jumlah Hari Hujan Di Sumatera Utara 2021 - 2023en_US
dc.title.alternativeAnalysis of Rainfall Levels and The Number of Rainy Days in North Sumatra in 2021 – 2023en_US
dc.typeThesisen_US
dc.identifier.nimNIM222407043
dc.identifier.nidnNIDN0115118903
dc.identifier.kodeprodiKODEPRODI49401#Statistika
dc.description.pages62 Pagesen_US
dc.description.typeKertas Karya Diplomaen_US
dc.subject.sdgsSDGs 13. Climate Actionen_US


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