DIMENSI ANGGOTA TIM KMO and Bartletts Test

174 Component Matrix a Component 1 item9 .855 item16 .881 item20 .799 item22 .770 item27 .904 item30 .764 Extraction Method: Principal Component Analysis. a. 1 components extracted.

3. DIMENSI ANGGOTA TIM KMO and Bartletts Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .757 Bartletts Test of Sphericity Approx. Chi-Square 311.421 df 36 Sig. .000 Anti-image Matrices item18 item29 item31 item34 item39 item40 item43 item45 item49 Anti-image Covariance item18 .672 -.018 -.059 -.156 -.078 -.033 -.049 -.048 .041 item29 -.018 .542 .055 .059 -.014 -.079 -.199 -.141 -.113 item31 -.059 .055 .604 .111 .025 -.115 .046 -.246 -.036 item34 -.156 .059 .111 .452 .046 -.148 .070 -.199 -.125 item39 -.078 -.014 .025 .046 .530 .006 -.132 -.047 -.242 item40 -.033 -.079 -.115 -.148 .006 .750 -.063 .074 -.071 item43 -.049 -.199 .046 .070 -.132 -.063 .664 -.002 -.034 item45 -.048 -.141 -.246 -.199 -.047 .074 -.002 .345 .031 item49 .041 -.113 -.036 -.125 -.242 -.071 -.034 .031 .473 Universita Sumatera Utara 175 Anti-image Correlation item18 .881 a -.030 -.092 -.284 -.130 -.047 -.074 -.100 .073 item29 -.030 .802 a .097 .120 -.026 -.124 -.331 -.326 -.224 item31 -.092 .097 .646 a .213 .044 -.172 .073 -.539 -.067 item34 -.284 .120 .213 .691 a .095 -.255 .128 -.503 -.269 item39 -.130 -.026 .044 .095 .785 a .010 -.222 -.110 -.483 item40 -.047 -.124 -.172 -.255 .010 .821 a -.089 .146 -.119 item43 -.074 -.331 .073 .128 -.222 -.089 .791 a -.005 -.061 item45 -.100 -.326 -.539 -.503 -.110 .146 -.005 .695 a .076 item49 .073 -.224 -.067 -.269 -.483 -.119 -.061 .076 .783 a a. Measures of Sampling AdequacyMSA Communalities Initial Extraction item18 1.000 .484 item29 1.000 .592 item31 1.000 .528 item34 1.000 .627 item39 1.000 .629 item40 1.000 .309 item43 1.000 .635 item45 1.000 .750 item49 1.000 .639 Extraction Method: Principal Component Analysis. Total Variance Explained Com pone nt Initial Eigenvalues Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings Total of Variance Cumulative Total of Variance Cumulative Total of Variance Cumulative 1 3.810 42.337 42.337 3.810 42.337 42.337 2.634 29.262 29.262 2 1.381 15.347 57.684 1.381 15.347 57.684 2.558 28.422 57.684 3 .835 9.281 66.964 4 .749 8.323 75.287 5 .679 7.543 82.830 Universita Sumatera Utara 176 6 .574 6.378 89.207 7 .430 4.773 93.980 8 .339 3.762 97.742 9 .203 2.258 100.000 Extraction Method: Principal Component Analysis. Rotated Component Matrix a Component 1 2 item18 .658 .225 item29 .288 .713 item31 .726 -.005 item34 .766 .199 item39 .196 .769 item40 .417 .368 item43 -.045 .796 item45 .829 .251 item49 .320 .732 Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. a. Rotation converged in 3 iterations. KMO and Bartletts Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .692 Bartletts Test of Sphericity Approx. Chi-Square 144.440 df 10 Sig. .000 Anti-image Matrices item18 item31 item34 item40 item45 Anti-image Covariance item18 .697 -.045 -.157 -.062 -.089 item31 -.045 .621 .103 -.105 -.268 Universita Sumatera Utara 177 item34 -.157 .103 .501 -.177 -.229 item40 -.062 -.105 -.177 .822 .038 item45 -.089 -.268 -.229 .038 .410 Anti-image Correlation item18 .855 a -.069 -.266 -.082 -.166 item31 -.069 .631 a .184 -.147 -.531 item34 -.266 .184 .667 a -.276 -.506 item40 -.082 -.147 -.276 .768 a .065 item45 -.166 -.531 -.506 .065 .647 a a. Measures of Sampling AdequacyMSA Communalities Initial Extraction item18 1.000 .511 item31 1.000 .447 item34 1.000 .636 item40 1.000 .306 item45 1.000 .726 Extraction Method: Principal Component Analysis. Total Variance Explained Compo nent Initial Eigenvalues Extraction Sums of Squared Loadings Total of Variance Cumulative Total of Variance Cumulative 1 2.627 52.543 52.543 2.627 52.543 52.543 2 .849 16.988 69.531 3 .735 14.697 84.228 4 .532 10.641 94.868 5 .257 5.132 100.000 Extraction Method: Principal Component Analysis. Component Matrix a Universita Sumatera Utara 178 Component 1 item18 .715 item31 .669 item34 .798 item40 .553 item45 .852 Extraction Method: Principal Component Analysis. a. 1 components extracted.

4. DIMENSI PEKERJAAN