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dc.contributor.advisorHerianto, Tulus Joseph
dc.contributor.authorSinurat, Trimitha Arta
dc.date.accessioned2024-01-15T07:01:26Z
dc.date.available2024-01-15T07:01:26Z
dc.date.issued2023
dc.identifier.urihttps://repositori.usu.ac.id/handle/123456789/90191
dc.description.abstractInflation is a condition where the price of goods or services increases continuously which affects the value of money. In North Sumatra, the year to date (ytd) inflation rate for December 2022 was 6.12%. Regression analysis is a method used to determine the relationship between variables. There are several methods used in parameter estimation of linear regression analysis, one of which is the least squares method (OLS). The OLS method has a weakness when there are outlier data or there are outliers. So Robust Regression can be used in dealing with outlier data. Robust regression has many estimates, one of which is the M estimate. The results of this study are the discovery of 3 outlier data. The M estimation Robust Regression Model is obtained as follows: y=0,0002482649−0,0289272719X1+0,0776335045X2+0,8362263242X3+0,0487098587X4+0,0082604296X5en_US
dc.language.isoiden_US
dc.publisherUniversitas Sumatera Utaraen_US
dc.subjectInflationen_US
dc.subjectRobust Regressionen_US
dc.subjectEstimation of Men_US
dc.subjectSDGsen_US
dc.titleAnalisis Perkembangan Inflasi terhadap Indeks Harga Konsumen di Sumatera Utara Menggunakan Regresi Robusten_US
dc.typeThesisen_US
dc.identifier.nimNIM202407017
dc.identifier.nidnNIDN0011079205
dc.identifier.kodeprodiKODEPRODI49401#Statistika
dc.description.pages45 Halamanen_US
dc.description.typeKertas Karya Diplomaen_US


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