PENGARUH KESIAPAN BELAJAR TERHADAP HASIL BELAJAR SISWA PADA MATA PELAJARAN AKUNTANSI DI SMK N 44 JAKARTA PUSAT

YULLIANTI PERTIWI, EKA (2015) PENGARUH KESIAPAN BELAJAR TERHADAP HASIL BELAJAR SISWA PADA MATA PELAJARAN AKUNTANSI DI SMK N 44 JAKARTA PUSAT. S1 thesis, Universitas Negeri Jakarta.

Preview	Text Cover.pdf Download (459kB) | Preview
Preview	Text Table_Of_Content.pdf Download (140kB) | Preview
Preview	Text Chapter 1.pdf Download (158kB) | Preview
	Text Chapter 2.pdf Restricted to Registered users only Download (362kB)
Preview	Text Chapter 3.pdf Download (233kB) | Preview
	Text Chapter 4.pdf Restricted to Registered users only Download (338kB)
Preview	Text Chapter 5.pdf Download (95kB) | Preview
Preview	Text Bibiliography.pdf Download (89kB) | Preview

Abstract

EkaYulliantiPertiwi,ThecorrelationStudent Readiness Learning With Accounting Student Learning Outcomes Class X In Accounting Studies 44 SMK Jakarta.Skripsi, Jakarta: Concentration Accounting Education, Economic Studies Program, Department of Economics and Administration, Faculty of Economics, State University of Jakarta, 2013. This study aims to gain information and knowledge based on data and facts that is valid, trustworthy and true about how big the Relationship between theReadiness Learning With Accounting Student Learning Outcomes Class X In Accounting Studies 44 SMK Jakarta. This study uses survey and correlational approach. Used data obtained from the questionnaire students readiness learning and student learning outcomes. The sampling technique used in this study is a randomized technique of proportional (proportional random sampling). Affordable in the study population was 78 students and the sample used by the table Isacc and Michael is 62 students. The regression equation in this study is Ŷ = 3,99 + 0,025X. Test requirements analysis is the normality test on the estimated error of regression Y on X with Lhitung obtained Liliefors test (Lo) 0.051 <Ltabel (Lt) 0.113. This indicates that the regression model are normally distributed. While the linearity regression testing obtained Calculate F (0.74) <F table (2.02). This shows that the linear regression model. Test the significance of regression is known that F Calculate the mean regression model (14.71)> F table (4.00). Of a hypothesis test with the test product moment correlation coefficient of Pearson obtained rxy = 0.444, then this means that there is a positive relationship between students' readiness learning with the learning outcomes. From the calculation of the t-test is known t = (3.84)> table = (1.68), so this shows that there is a significant relationship (significant) between students' readiness learning with the learning outcomes. While the results of the calculation of the coefficient of determination values obtained 19.69% which shows that readiness learning is determined by studying the results of 19.69%.

Actions (login required)

View Item