TY - JOUR AU - Ramadhanty, Jeniar AU - Nuryetty Zain, AU - Marsofiyati, PY - 2020/06/23 Y2 - 2024/03/29 TI - Pengaruh Efikasi Diri dan Bimbingan Karir Terhadap Kesiapan Kerja Siswa Kelas X dan XI SMK Negeri di Jakarta JF - Jurnal Pendidikan Ekonomi, Perkantoran, dan Akuntansi - JPEPA JA - JPEPA VL - 1 IS - 1 SE - DO - UR - http://pub.unj.ac.id/index.php/jpepa/article/view/14 SP - 34 - 43 AB - <p><em>This study aims to&nbsp;</em><em>determine</em><em>&nbsp;the effect of self-efficacy and career guidance on work readiness of class XII students of&nbsp;</em><em>SMK</em><em>&nbsp;</em><em>Negeri</em><em>&nbsp;10 Jakarta. This research&nbsp;</em><em>was conducted</em><em>&nbsp;starting from October 2019 until January 2020. The research method used was a survey method.&nbsp;</em><em>The population in this study were</em><em>&nbsp;all students of class XII at&nbsp;</em><em>SMK</em><em>&nbsp;</em><em>Negeri</em><em>&nbsp;10 Jakarta, totaling 499 students. The sample used in this study was 202 students. Data on work readiness (Y), self-efficacy (</em><em>X1</em><em>), and career guidance (X2) are primary data using a&nbsp;</em><em>Likert</em><em>&nbsp;scale. The data analysis technique used is, first the analysis requirements test consisting of the normality test and the linearity test. The two classic assumption tests consist of&nbsp;</em><em>multicollinearity</em><em>&nbsp;and&nbsp;</em><em>heteroscedasticity</em><em>&nbsp;tests. The three multiple linear regression tests. The four hypothesis tests consisted of the F test and t test. The results of the F test are&nbsp;</em><em>F<sub>count</sub></em><em>&nbsp;</em><em>149,399 </em><em>&gt;&nbsp;</em><em>Ft<sub>able</sub></em><em>&nbsp;</em><em>3,04</em><em>, which means that simultaneous&nbsp;</em><em>X1</em><em>&nbsp;and X2 affect Y. T test yields t<sub>arithmetic</sub> </em>8,862 <em>&gt; t<sub>table</sub> 1,971, so it&nbsp;</em><em>can be</em><em>&nbsp;concluded that there is an influence between&nbsp;</em><em>X1</em><em>&nbsp;and Y. Then the t test produces&nbsp;</em><em>t<sub>count</sub></em><em>&nbsp;</em>7,621 <em>&gt; t<sub>table</sub> 1,971 so it&nbsp;</em><em>can be</em><em>&nbsp;concluded that there is an influence between X2 and&nbsp;</em><em>Y2</em><em>. Based on the results of data analysis, the multiple regression equation&nbsp;</em>Ỷ = 11,413+ 0,413 X<sub>1</sub> + 0,282 X<sub>2</sub><em>. The test results of&nbsp;</em><em>the coefficient of</em><em>&nbsp;determination or r Square of 0.600, namely the effect between 1 and X2 of 60%, the remaining </em>40% <em>is influenced by other factors not examined.</em></p> ER -