HUBUNGAN ANTARA MINAT BELAJAR DENGAN HASIL BELAJAR ADMINISTRASI BARANG PADA SISWA JURUSAN PEMASARAN DI SMK NEGERI 45 JAKARTA

Setiawan, Irfan (2015) HUBUNGAN ANTARA MINAT BELAJAR DENGAN HASIL BELAJAR ADMINISTRASI BARANG PADA SISWA JURUSAN PEMASARAN DI SMK NEGERI 45 JAKARTA. S1 thesis, Universitas Negeri Jakarta.

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Abstract

IRFAN SETIAWAN, The Correlation Between Learning Interest With Result in Learning Goods Administration on Marketing Student Programme, in SMK Negeri 45 Jakarta. Study Program of Commerce Education, Department of Economics and Administration, Faculty of Economics, State University of Jakarta, June 2015. The research was conducted at SMK Negeri 45,West Jakarta, for four months from March 2015 until June 2015. The research methodused is survey method with the correlational approach. Population in this research is studentson marketing, whereas the possible populations are student class XI marketing, amounting to 68 peoples. The technique which is used in gathering the sample was simple random sampling about 58 peoples. To capture data from these two variables are used questionnaire Likert scale models for Learning Interest (variable X) and for Result in Learning (Variable Y) Goods Administrasion is using the data from result that student got as long they learned Goods Administrasion. Before the instrument is used tested the validity for variable X. For variable X, from 30 points statement after statement validated there are 8 points that drop invalid, while meeting the criteria or a valid statement consists of 22 points. Reliability calculation of both variables using Cronbach Alpha formula. The results of the X variable reliability of 0.86. results prove that the instrument is reliable. The resulting regression equationis Ŷ = 65,24 + 0,16X. Test requirements analysis of the normality tester or of estimated regression of Y on X to produce Lcount liliefors test=0,1163, while the Ltable for n = 58 at 0.05 significant levelis 0,5162. Because the Lcount<Ltable then an error estimate of Y on X is normally distributed. Testing linearity of regression produces Fcount<Ftable is 0,67<1,89, so it was concluded that the linear equation regression. From test significance regression produces Fcount>Ftable, which is 24,86> 4,02, meaning that the regression equationis significant. Correlation coefficient of Pearson Product Moment generating rxy=0,554, then performed the test significance correlation coefficient using the t testandthe resulting tcount=4,986 and ttable=1,65. It can be concluded that the correlation coefficient rxy=0,554 is significant. The coefficient of determination obtained for 30,74% which shows that 30,74% of the variation of result in learning determined by the learning interest.

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