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dc.contributor.advisorSyahputra, Muhammad Romi
dc.contributor.authorTarigan, Maya Krisma Br
dc.date.accessioned2024-06-04T08:27:24Z
dc.date.available2024-06-04T08:27:24Z
dc.date.issued2022
dc.identifier.urihttps://repositori.usu.ac.id/handle/123456789/93671
dc.description.abstractEconomic growth is an increase in the value and amount of production of goods and services which is calculated that a country in a certain time will experience economic prosperity. The increase or decrease occurred due to the existence of several supporting indicators. This research was conducted to determine the effect or not of the independent variable on the dependent variable. The independent variables used in this study were poverty, movement, and the human development index and the dependent variable used in this study was economic growth. The data taken is sourced from the Central Statistics Agency of North Sumatra. The object of the place that is considered in this study is Karo Regency. The data were analyzed using multiple linear regression method which will produce an equation that describes the influence of the independent variables on the independent variables. Based on the analysis that has been done, the multiple linear regression equation obtained is: = 3.194 + 0.165 X1 - 1.108 X2 - 0.045 X3 so that from the results of the multiple linear regression equation, the F-count value using the simultaneous test is 0.148 <4.75 as F table. So that there is no direct influence between the poverty level, open movement, and the human development index (IPM) on economic growth in Karo Regency in 2012-2021.en_US
dc.language.isoiden_US
dc.publisherUniversitas Sumatera Utaraen_US
dc.subjectEconomic Growthen_US
dc.subjectPoverty Rateen_US
dc.subjectUnemployment Rate and Human Development Indexen_US
dc.subjectMultiple Linear Regressionen_US
dc.subjectSDGsen_US
dc.titleAnalisis Faktor-Faktor yang Mempengaruhi Pertumbuhan Ekonomi di Kabupaten Karo Menggunakan Regresi Linier Bergandaen_US
dc.title.alternativeAnalysis of Factors Affecting Economic Growth in Karo District using Multiple Linear Regressionen_US
dc.typeThesisen_US
dc.identifier.nimNIM192407031
dc.identifier.nidnNIDN0115118903
dc.identifier.kodeprodiKODEPRODI49401#Statistika
dc.description.pages68 Pagesen_US
dc.description.typeKertas Karya Diplomaen_US


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