Analisis Faktor Faktor yang Mempengaruhi Tingkat Pengangguran Terdidik di Provinsi Sumatera Utara Tahun 2020 dengan Metode Analisis Regresi Linier Berganda

Abstract

Educated unemployment is how many workers have a high school education and above or someone who has a high school education level and above who is looking for a job/preparing for a business/who is not looking for work because they feel inadequate (not disabled). Based on research on educated unemployment factors (Y), education level factors (X1), HDI factors (X2), and population factors (X3). So a conclusion is reached ̂ . The results show that these three variables have a significant effect on educated unemployment in North Sumatra. The results of this study obtained that Fcount > Ftable and it was concluded that H 0 was rejected, which stated a significant relationship between the dependent variable and the independent variable, obtained also the coefficient of determination of 0.5560. This means that 55.60% of educated unemployment is influenced by three factors, namely the level of education, HDI, population while the remaining 44.40% is influenced by other factors. And the degree of relationship between independent variables with strongly bound. From the distribution table t with dk = 29 and α = 0.005 obtained a table of 2.045 then obtained t 1 = -1.167 < t table = 2.045 ,t 2 = 1.335 < t table = 2.045, t 3 = 2.524 > t table =2.045 From these three coefficients we can see that only the Number of Population (X3) has a significant influence on Educated Unemployment (Y), as has been obtained tcalculate > ttable then H0 is rejected. While Education Level (X1) and HDI (X2) do not have a significant effect on Educated Unemployed (Y), where tcount < ttable thenH0 is accepted. This indicates that only Population (X3) affects Educated Unemployment (Y). While Education Level (X1) and HDI (X2) do not greatly affect Educated Unemployment (Y).