Data Asli Hasil Koisioner Data Hasil Kuisiner Pensekalaan

Lampiran 2

A. Data Asli Hasil Koisioner

No Responden X 1 X 2 X 3 X 4 X 5 X 6 X 7 X 8 X 9 1 5 2 5 2 2 2 2 5 2 2 4 2 4 2 4 2 2 4 2 3 4 3 4 3 4 4 2 2 4 4 5 1 2 2 4 2 1 4 1 5 5 1 2 2 4 2 1 4 4 6 4 2 5 2 4 5 4 4 2 7 5 2 5 4 4 2 4 4 5 8 4 4 3 4 3 4 3 5 2 9 5 4 1 2 2 4 2 2 5 10 5 2 2 1 4 2 1 1 5 11 5 2 2 1 2 2 2 4 2 12 5 1 1 1 2 4 4 4 2 13 4 4 3 3 2 3 3 4 5 14 5 5 4 4 5 3 3 4 5 15 5 4 5 5 5 4 5 4 5 16 5 5 4 3 4 5 3 4 5 17 5 5 4 3 4 5 4 5 4 18 5 4 5 3 3 4 3 4 4 19 4 2 5 2 4 5 4 4 2 20 5 5 5 4 4 5 5 4 4 21 5 2 5 4 4 2 4 4 4 22 4 5 4 4 4 5 5 4 4 23 4 2 5 2 4 5 4 4 2 24 5 2 5 2 4 5 4 4 2 25 5 2 5 2 4 5 4 4 2 26 4 2 4 2 4 5 4 4 2 27 5 4 5 4 4 5 5 5 4 28 5 2 3 3 3 5 5 2 2 29 5 2 4 4 4 2 5 4 2 30 5 3 2 4 4 4 2 4 4 31 5 1 4 2 2 5 5 5 5 32 4 4 2 2 4 4 3 4 4 33 5 4 5 3 3 4 3 5 5 34 5 2 4 4 2 4 2 4 4 35 4 2 4 4 2 4 2 4 4 36 4 2 4 4 2 2 2 4 4 Universitas Sumatera Utara 37 5 2 5 4 4 5 4 4 4 38 5 4 5 4 4 4 5 4 4 39 5 2 4 2 2 2 3 3 5 40 5 2 1 1 1 1 2 4 2 41 4 2 1 2 1 3 2 2 1 42 5 4 3 2 2 1 3 4 2 43 5 2 1 2 2 5 2 4 2 44 4 4 1 4 4 2 1 4 4 45 4 2 3 2 5 4 2 2 2 46 4 5 1 4 5 4 4 5 5 47 4 5 1 4 5 4 4 5 5 48 5 2 1 2 4 2 1 4 2 49 4 4 4 4 1 2 1 4 2 50 4 4 4 2 2 2 1 4 2 51 5 5 5 4 4 4 3 3 4 52 5 5 2 2 2 4 2 4 2 53 5 5 4 3 5 5 4 4 4 54 5 5 3 4 2 4 4 5 4 55 4 4 5 1 4 2 2 3 2 56 2 2 4 2 2 5 2 4 2 57 4 4 4 2 2 2 2 4 2 58 5 5 4 2 2 4 1 4 3 59 4 4 4 2 1 4 2 4 2 60 5 5 4 3 2 2 2 4 2 61 5 5 4 4 2 4 1 4 2 62 4 4 4 2 2 5 3 4 2 63 5 5 4 3 2 3 2 4 4 64 5 5 4 2 2 4 2 4 4 65 4 4 4 2 2 2 2 4 2 66 5 5 4 2 2 2 2 4 2 67 2 2 4 2 2 4 1 4 2 68 3 3 4 3 2 3 4 4 2 69 3 3 4 3 2 2 1 4 3 70 2 2 4 3 1 4 1 4 2 71 4 4 4 4 3 3 4 4 3 72 2 2 3 3 2 4 4 4 2 73 3 2 4 4 4 3 74 2 5 4 2 2 4 3 4 3 75 5 4 5 3 4 4 1 4 2 76 4 4 4 3 5 5 4 4 4 77 5 4 3 3 4 4 1 4 2 78 5 4 4 3 4 5 1 2 2 79 3 4 5 4 5 5 5 5 5 Universitas Sumatera Utara 80 4 5 5 4 4 4 4 4 4 81 5 3 4 5 4 5 5 4 4 82 5 4 4 4 3 4 5 5 5 83 5 4 2 2 3 3 4 5 5 84 5 4 4 5 3 5 5 5 3 85 5 4 3 3 5 4 4 3 3 86 4 4 3 5 4 5 5 4 3 87 5 4 4 5 5 4 4 3 3 88 5 5 4 5 4 3 4 5 5 89 5 4 4 5 5 4 3 3 3 90 5 5 4 4 3 3 5 4 4 91 5 4 2 2 2 3 3 4 5 92 2 3 4 2 3 1 4 1 3 93 5 5 4 3 5 4 4 5 5 94 5 4 5 4 3 3 4 4 4 95 4 2 2 2 2 4 4 4 4 96 5 4 4 2 4 4 4 4 4 97 5 2 1 2 2 4 4 4 4 98 5 2 1 2 4 2 1 4 5 99 5 1 2 2 2 1 1 4 5 100 4 2 2 2 2 2 2 2 5 Universitas Sumatera Utara

B. Data Hasil Kuisiner Pensekalaan

No respondent X 1 X 1 X 3 X 4 X 5 X 6 X 7 X 8 X 9 1 3,629 2,221 4,082 2,331 2,254 2,091 1,926 4,966 2,518 2 2,283 2,221 2,870 2,331 3,600 2,091 1,926 3,417 2,518 3 2,283 2,835 2,870 3,190 3,600 3,351 1,926 1,794 3,789 4 3,629 1,000 1,746 2,331 3,600 2,091 1,000 3,417 1,000 5 3,629 1,000 1,746 2,331 3,600 2,091 1,000 3,417 3,789 6 2,283 2,221 4,082 2,331 3,600 4,450 3,047 3,417 2,518 7 3,629 2,221 4,082 3,906 3,600 2,091 3,047 3,417 4,784 8 2,283 3,352 2,124 3,906 2,949 3,351 2,445 4,966 2,518 9 3,629 3,352 1,000 2,331 2,254 3,351 1,926 1,794 4,784 10 3,629 2,221 1,746 1,000 3,600 2,091 1,000 1,000 4,784 11 3,629 2,221 1,746 1,000 2,254 2,091 1,926 3,417 2,518 12 3,629 1,000 1,000 1,000 2,254 3,351 3,047 3,417 2,518 13 2,283 3,352 2,124 3,190 2,254 2,712 2,445 3,417 4,784 14 3,629 4,409 2,870 3,906 4,730 2,712 2,445 3,417 4,784 15 3,629 3,352 4,082 4,981 4,730 3,351 4,068 3,417 4,784 16 3,629 4,409 2,870 3,190 3,600 4,450 2,445 3,417 4,784 17 3,629 4,409 2,870 3,190 3,600 4,450 3,047 4,966 3,789 18 3,629 3,352 4,082 3,190 2,949 3,351 2,445 3,417 3,789 19 2,283 2,221 4,082 2,331 3,600 4,450 3,047 3,417 2,518 20 3,629 4,409 4,082 3,906 3,600 4,450 4,068 3,417 3,789 21 3,629 2,221 4,082 3,906 3,600 2,091 3,047 3,417 3,789 22 2,283 4,409 2,870 3,906 3,600 4,450 4,068 3,417 3,789 23 2,283 2,221 4,082 2,331 3,600 4,450 3,047 3,417 2,518 24 3,629 2,221 4,082 2,331 3,600 4,450 3,047 3,417 2,518 25 3,629 2,221 4,082 2,331 3,600 4,450 3,047 3,417 2,518 26 2,283 2,221 2,870 2,331 3,600 4,450 3,047 3,417 2,518 27 3,629 3,352 4,082 3,906 3,600 4,450 4,068 4,966 3,789 28 3,629 2,221 2,124 3,190 2,949 4,450 4,068 1,794 2,518 29 3,629 2,221 2,870 3,906 3,600 2,091 4,068 3,417 2,518 30 3,629 2,835 1,746 3,906 3,600 3,351 1,926 3,417 3,789 31 3,629 1,000 2,870 2,331 2,254 4,450 4,068 4,966 4,784 32 2,283 3,352 1,746 2,331 3,600 3,351 2,445 3,417 3,789 33 3,629 3,352 4,082 3,190 2,949 3,351 2,445 4,966 4,784 34 3,629 2,221 2,870 3,906 2,254 3,351 1,926 3,417 3,789 35 2,283 2,221 2,870 3,906 2,254 3,351 1,926 3,417 3,789 36 2,283 2,221 2,870 3,906 2,254 2,091 1,926 3,417 3,789 37 3,629 2,221 4,082 3,906 3,600 4,450 3,047 3,417 3,789 Universitas Sumatera Utara 38 3,629 3,352 4,082 3,906 3,600 3,351 4,068 3,417 3,789 39 3,629 2,221 2,870 2,331 2,254 2,091 2,445 2,244 4,784 40 3,629 2,221 1,000 1,000 1,000 1,000 1,926 3,417 2,518 41 2,283 2,221 1,000 2,331 1,000 2,712 1,926 1,794 1,000 42 3,629 3,352 2,124 2,331 2,254 1,000 2,445 3,417 2,518 43 3,629 2,221 1,000 2,331 2,254 4,450 1,926 3,417 2,518 44 2,283 3,352 1,000 3,906 3,600 2,091 1,000 3,417 3,789 45 2,283 2,221 2,124 2,331 4,730 3,351 1,926 1,794 2,518 46 2,283 4,409 1,000 3,906 4,730 3,351 3,047 4,966 4,784 47 2,283 4,409 1,000 3,906 4,730 3,351 3,047 4,966 4,784 48 3,629 2,221 1,000 2,331 3,600 2,091 1,000 3,417 2,518 49 2,283 3,352 2,870 3,906 1,000 2,091 1,000 3,417 2,518 50 2,283 3,352 2,870 2,331 2,254 2,091 1,000 3,417 2,518 51 3,629 4,409 4,082 3,906 3,600 3,351 2,445 2,244 3,789 52 3,629 4,409 1,746 2,331 2,254 3,351 1,926 3,417 2,518 53 3,629 4,409 2,870 3,190 4,730 4,450 3,047 3,417 3,789 54 3,629 4,409 2,124 3,906 2,254 3,351 3,047 4,966 3,789 55 2,283 3,352 4,082 1,000 3,600 2,091 1,926 2,244 2,518 56 1,000 2,221 2,870 2,331 2,254 4,450 1,926 3,417 2,518 57 2,283 3,352 2,870 2,331 2,254 2,091 1,926 3,417 2,518 58 3,629 4,409 2,870 2,331 2,254 3,351 1,000 3,417 3,277 59 2,283 3,352 2,870 2,331 1,000 3,351 1,926 3,417 2,518 60 3,629 4,409 2,870 3,190 2,254 2,091 1,926 3,417 2,518 61 3,629 4,409 2,870 3,906 2,254 3,351 1,000 3,417 2,518 62 2,283 3,352 2,870 2,331 2,254 4,450 2,445 3,417 2,518 63 3,629 4,409 2,870 3,190 2,254 2,712 1,926 3,417 3,789 64 3,629 4,409 2,870 2,331 2,254 3,351 1,926 3,417 3,789 65 2,283 3,352 2,870 2,331 2,254 2,091 1,926 3,417 2,518 66 3,629 4,409 2,870 2,331 2,254 2,091 1,926 3,417 2,518 67 1,000 2,221 2,870 2,331 2,254 3,351 1,000 3,417 2,518 68 1,576 2,835 2,870 3,190 2,254 2,712 3,047 3,417 2,518 69 1,576 2,835 2,870 3,190 2,254 2,091 1,000 3,417 3,277 70 1,000 2,221 2,870 3,190 1,000 3,351 1,000 3,417 2,518 71 2,283 3,352 2,870 3,906 2,949 2,712 3,047 3,417 3,277 72 1,000 2,221 2,124 3,190 2,254 3,351 3,047 3,417 2,518 73 1,576 2,221 2,870 3,906 3,600 2,712 0,000 0,000 0,000 74 1,000 4,409 2,870 2,331 2,254 3,351 2,445 3,417 3,277 75 3,629 3,352 4,082 3,190 3,600 3,351 1,000 3,417 2,518 76 2,283 3,352 2,870 3,190 4,730 4,450 3,047 3,417 3,789 77 3,629 3,352 2,124 3,190 3,600 3,351 1,000 3,417 2,518 Universitas Sumatera Utara 78 3,629 3,352 2,870 3,190 3,600 4,450 1,000 1,794 2,518 79 1,576 3,352 4,082 3,906 4,730 4,450 4,068 4,966 4,784 80 2,283 4,409 4,082 3,906 3,600 3,351 3,047 3,417 3,789 81 3,629 2,835 2,870 4,981 3,600 4,450 4,068 3,417 3,789 82 3,629 3,352 2,870 3,906 2,949 3,351 4,068 4,966 4,784 83 3,629 3,352 1,746 2,331 2,949 2,712 3,047 4,966 4,784 84 3,629 3,352 2,870 4,981 2,949 4,450 4,068 4,966 3,277 85 3,629 3,352 2,124 3,190 4,730 3,351 3,047 2,244 3,277 86 2,283 3,352 2,124 4,981 3,600 4,450 4,068 3,417 3,277 87 3,629 3,352 2,870 4,981 4,730 3,351 3,047 2,244 3,277 88 3,629 4,409 2,870 4,981 3,600 2,712 3,047 4,966 4,784 89 3,629 3,352 2,870 4,981 4,730 3,351 2,445 2,244 3,277 90 3,629 4,409 2,870 3,906 2,949 2,712 4,068 3,417 3,789 91 3,629 3,352 1,746 2,331 2,254 2,712 2,445 3,417 4,784 92 1,000 2,835 2,870 2,331 2,949 1,000 3,047 1,000 3,277 93 3,629 4,409 2,870 3,190 4,730 3,351 3,047 4,966 4,784 94 3,629 3,352 4,082 3,906 2,949 2,712 3,047 3,417 3,789 95 2,283 2,221 1,746 2,331 2,254 3,351 3,047 3,417 3,789 96 3,629 3,352 2,870 2,331 3,600 3,351 3,047 3,417 3,789 97 3,629 2,221 1,000 2,331 2,254 3,351 3,047 3,417 3,789 98 3,629 2,221 1,000 2,331 3,600 2,091 1,000 3,417 4,784 99 3,629 1,000 1,746 2,331 2,254 1,000 1,000 3,417 4,784 100 2,283 2,221 1,746 2,331 2,254 2,091 1,926 1,794 4,784 Universitas Sumatera Utara Lampiran 3 Hasil Output SPSS Case Processing Summary N Cases Valid 100 100.0 Excluded a .0 Total 100 100.0 a. Listwise deletion based on all variables in the procedure. Reliability Statistics Cronbachs Alpha Cronbachs Alpha Based on Standardized Items N of Items .714 .710 9 Item Statistics Mean Std. Deviation N VAR00001 2.9853 .84835 100 VAR00002 3.0627 .94112 100 VAR00003 2.7093 .93990 100 VAR00004 3.0628 .94647 100 VAR00005 3.0629 .94466 100 VAR00006 3.1542 .94623 100 VAR00007 2.4582 .98305 100 VAR00008 3.3828 .93165 100 VAR00009 3.3828 .98779 100 Universitas Sumatera Utara Item-Total Statistics Scale Mean if Item Deleted Scale Variance if Item Deleted Corrected Item- Total Correlation Squared Multiple Correlation Cronbachs Alpha if Item Deleted VAR00001 24.2757 19.639 .197 .102 .720 VAR00002 24.1984 18.045 .364 .192 .693 VAR00003 24.5517 18.599 .291 .168 .707 VAR00004 24.1983 16.942 .514 .319 .665 VAR00005 24.1982 17.591 .424 .285 .682 VAR00006 24.1068 17.894 .381 .296 .690 VAR00007 24.8029 16.304 .576 .408 .651 VAR00008 23.8782 18.209 .348 .229 .696 VAR00009 23.8783 17.649 .388 .299 .689 Scale Statistics Mean Variance Std. Deviation N of Items 27.2611 21.842 4.67350 9 Communalities Initial Extraction VAR00001 1.000 .522 VAR00002 1.000 .286 VAR00003 1.000 .475 VAR00004 1.000 .519 VAR00005 1.000 .721 VAR00006 1.000 .567 VAR00007 1.000 .602 VAR00008 1.000 .806 VAR00009 1.000 .643 Universitas Sumatera Utara KMO and Bartletts Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .721 Bartletts Test of Sphericity Approx. Chi-Square 150.262 df 36 Sig. .000 Component Transformation Matrix Compo nent 1 2 3 1 .784 .522 .337 2 -.618 .713 .331 3 .067 .467 -.881 Component Matrix a Component 1 2 3 VAR00001 .294 .578 .319 VAR00002 .519 .131 .012 VAR00003 .457 -.515 -.012 VAR00004 .690 -.121 .168 VAR00005 .597 -.132 .589 VAR00006 .569 -.460 -.180 VAR00007 .742 -.086 -.209 VAR00008 .497 .337 -.668 VAR00009 .540 .590 .051 Extraction Method: Principal Component Analysis. Universitas Sumatera Utara Component Matrix a Component 1 2 3 VAR00001 .294 .578 .319 VAR00002 .519 .131 .012 VAR00003 .457 -.515 -.012 VAR00004 .690 -.121 .168 VAR00005 .597 -.132 .589 VAR00006 .569 -.460 -.180 VAR00007 .742 -.086 -.209 VAR00008 .497 .337 -.668 VAR00009 .540 .590 .051 Extraction Method: Principal Component Analysis. a. 3 components extracted. Rotated Component Matrix a Component 1 2 3 VAR00001 -.105 .714 .009 VAR00002 .327 .370 .207 VAR00003 .676 -.134 -.006 VAR00004 .627 .352 .044 VAR00005 .589 .493 -.362 VAR00006 .718 -.116 .198 VAR00007 .621 .228 .406 VAR00008 .136 .188 .868 VAR00009 .062 .727 .333 Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. a. Rotation converged in 6 iterations. Universitas Sumatera Utara Universitas Sumatera Utara Total Variance Explained Compon ent 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 2.810 31.220 31.220 2.810 31.220 31.220 2.237 24.855 24.855 2 1.329 14.770 45.990 1.329 14.770 45.990 1.662 18.462 43.317 3 1.003 11.142 57.132 1.003 11.142 57.132 1.243 13.815 57.132 4 .944 10.489 67.621 5 .781 8.676 76.297 6 .687 7.635 83.932 7 .556 6.180 90.111 8 .496 5.509 95.620 9 .394 4.380 100.000 Extraction Method: Principal Component Analysis. Universitas Sumatera Utara Inter-Item Correlation Matrix VAR00001 VAR00002 VAR00003 VAR00004 VAR00005 VAR00006 VAR00007 VAR00008 VAR00009 VAR00001 1.000 .102 -.005 .077 .174 -.005 .135 .154 .278 VAR00002 .102 1.000 .162 .375 .184 .159 .172 .225 .253 VAR00003 -.005 .162 1.000 .288 .214 .276 .295 .094 -.007 VAR00004 .077 .375 .288 1.000 .383 .261 .381 .205 .253 VAR00005 .174 .184 .214 .383 1.000 .314 .328 .010 .268 VAR00006 -.005 .159 .276 .261 .314 1.000 .456 .198 .031 VAR00007 .135 .172 .295 .381 .328 .456 1.000 .351 .347 VAR00008 .154 .225 .094 .205 .010 .198 .351 1.000 .320 VAR00009 .278 .253 -.007 .253 .268 .031 .347 .320 1.000 Universitas Sumatera Utara Anti-image Covariance VAR00001 .898 -.024 .021 .033 -.108 .057 -.024 -.074 -.140 VAR00002 -.024 .808 -.060 -.205 -.012 -.053 .063 -.095 -.112 VAR00003 .021 -.060 .832 -.112 -.060 -.076 -.117 -.005 .110 VAR00004 .033 -.205 -.112 .681 -.168 -.011 -.107 -.042 -.040 VAR00005 -.108 -.012 -.060 -.168 .715 -.153 -.060 .162 -.136 VAR00006 .057 -.053 -.076 -.011 -.153 .704 -.225 -.083 .136 VAR00007 -.024 .063 -.117 -.107 -.060 -.225 .592 -.140 -.161 VAR00008 -.074 -.095 -.005 -.042 .162 -.083 -.140 .771 -.159 VAR00009 -.140 -.112 .110 -.040 -.136 .136 -.161 -.159 .701 Anti-image Correlation VAR00001 .713 a -.029 .024 .043 -.134 .072 -.033 -.089 -.177 VAR00002 -.029 .742 a -.073 -.276 -.015 -.070 .091 -.121 -.149 VAR00003 .024 -.073 .779 a -.149 -.078 -.099 -.167 -.006 .144 VAR00004 .043 -.276 -.149 .783 a -.240 -.015 -.168 -.058 -.058 VAR00005 -.134 -.015 -.078 -.240 .707 a -.215 -.092 .218 -.192 VAR00006 .072 -.070 -.099 -.015 -.215 .685 a -.349 -.113 .194 VAR00007 -.033 .091 -.167 -.168 -.092 -.349 .736 a -.207 -.250 VAR00008 -.089 -.121 -.006 -.058 .218 -.113 -.207 .690 a -.216 VAR00009 -.177 -.149 .144 -.058 -.192 .194 -.250 -.216 .657 a a. Measures of Sampling AdequacyMSA Universitas Sumatera Utara LAMPIRAN 4 A. PERHITUNGAN ANALISIS FAKTOR MENGGUNAKAN MATRIKS MATRIKS KORELASI SEDERHANA 1 2 3 4 5 6 7 8 9 1 1 0,102 -0,005 0,077 0,174 -0,005 0,135 0,154 0,278 2 0,102 1 0,162 0,375 0,184 0,159 0,172 0,225 0,253 3 -0,005 0,162 1 0,288 0,214 0,276 0,295 0,094 -0,007 4 0,077 0,375 0,288 1 0,383 0,261 0,381 0,205 0,253 = 5 0,174 0,184 0,214 0,383 1 0,314 0,328 0,01 0,268 6 -0,005 0,159 0,276 0,261 0,314 1 0,456 0,198 0,031 7 0,135 0,172 0,295 0,381 0,328 0,456 1 0,351 0,347 8 0,154 0,225 0,094 0,205 0,01 0,198 0,351 1 0,32 9 0,278 0,253 -0,007 0,253 0,268 0,031 0,347 0,32 1 Universitas Sumatera Utara Dengan bantuan software MATLAB Matrix Laboratory, didapat nilai karakteristik eigen value dan vektor karakteristik eigen vector dari matrik korelasi sederhana . MATRIKS EIGEN VALUE L 1 2 3 4 5 6 7 8 9 1 2,8095 0,0000 0,0000 0,0000 0,0000 0,0000 0,0000 0,0000 0,0000 2 0,0000 1,3296 0,0000 0,0000 0,0000 0,0000 0,0000 0,0000 0,0000 3 0,0000 0,0000 1,0023 0,0000 0,0000 0,0000 0,0000 0,0000 0,0000 4 0,0000 0,0000 0,0000 0,9447 0,0000 0,0000 0,0000 0,0000 0,0000 = 5 0,0000 0,0000 0,0000 0,0000 0,7808 0,0000 0,0000 0,0000 0,0000 6 0,0000 0,0000 0,0000 0,0000 0,0000 0,6870 0,0000 0,0000 0,0000 7 0,0000 0,0000 0,0000 0,0000 0,0000 0,0000 0,5563 0,0000 0,0000 8 0,0000 0,0000 0,0000 0,0000 0,0000 0,0000 0,0000 0,4960 0,0000 9 0,0000 0,0000 0,0000 0,0000 0,0000 0,0000 0,0000 0,0000 0,3938 Universitas Sumatera Utara MATRIKS EIGEN VEKTOR V 1 2 3 4 5 6 7 8 9 1 -0,0340 -0,1322 -0,1696 0,3201 0,5965 0,3327 0,3197 0,5006 0,01753 2 0,2317 -0,0978 -0,3443 0,4299 0,0702 -0,7211 0,0100 0,1125 0,3096 3 -0,1222 0,1002 -0,2702 0,4296 0,6621 -0,0682 -0.0122 -0,4470 0,2729 4 0,2535 -0,1700 0,7341 0,1608 -0,0998 -0,3521 0,1668 -0,1056 0,4113 = 5 0,2711 0,5836 -0,0732 0,0106 -0,2573 0,1675 0,5883 -0,1146 0,3562 6 -0,4835 -0,0639 -0,1336 0,5607 -0,1501 0,3175 -0,1797 -0,3992 0,3390 7 0,5915 -0,5016 -0,0166 -0,1613 -0,1285 0,3330 -0,2078 -0,0741 0,4429 8 0,0762 0,5698 0,2088 0,0049 0,0815 0,0220 0,6674 0,2925 0,2962 9 -0,3226 -0,1141 -0,4022 -0,4022 -0,2810 0,0217 0,0517 0,0513 0,3226 Matriks loading factor diperoleh dengan mengalikan matriks eigen vector dengan akar dari matriks eigen value. Atau dalam persamaan matematis ditulis √ . Universitas Sumatera Utara AKAR DARI MATRIKS EIGEN VALUE √ 1 2 3 4 5 6 7 8 9 1 1,6761 0,0000 0,0000 0,0000 0,0000 0,0000 0,0000 0,0000 0,0000 2 0,0000 1,1531 0,0000 0,0000 0,0000 0,0000 0,0000 0,0000 0,0000 3 0,0000 0,0000 1,0011 0,0000 0,0000 0,0000 0,0000 0,0000 0,0000 4 0,0000 0,0000 0,0000 0,9720 0,0000 0,0000 0,0000 0,0000 0,0000 √ = 5 0,0000 0,0000 0,0000 0,0000 0,8836 0,0000 0,0000 0,0000 0,0000 6 0,0000 0,0000 0,0000 0,0000 0,0000 0,8299 0,0000 0,0000 0,0000 7 0,0000 0,0000 0,0000 0,0000 0,0000 0,0000 0,7458 0,0000 0,0000 8 0,0000 0,0000 0,0000 0,0000 0,0000 0,0000 0,0000 0,7043 0,0000 9 0,0000 0,0000 0,0000 0,0000 0,0000 0,0000 0,0000 0,0000 0,66275 Universitas Sumatera Utara MATRIKS LOADING FACTOR 1 2 3 4 5 6 7 8 9 1 0,2939 0,5773 0,3201 0,3234 0,5271 0,2653 0,1265 -0,0931 -0,0213 2 0,5189 0,1297 0,0101 -0,7008 -0,0620 0,3563 -0,2568 -0,688 0,1454 3 0,4574 -0,5155 -0,0123 -0,0663 0,5851 -0,3561 -0,2015 0,0706 -0,0767 4 0,6894 0,1218 0,1670 -0,3442 -0,0882 -0,1333 0,5475 -0,1197 -0,1591 = 5 0,5970 -0,1322 0,5890 0,1628 -0,2274 0,0088 -0,0546 0,4110 0,1701 6 0,5683 -0,4603 -0,1799 0,3086 0,1326 0,4648 -0,0997 0,2969 -0,3034 7 0,7424 -0,0855 -0,2080 0,3237 -0,1135 -0,1337 -0,0124 -0,0450 0,7424 8 0,4965 0,3376 -0,6682 0,0214 0,0720 0,0041 0,1557 -0,3533 0,4965 9 0,5407 0,5905 0,0518 0,0210 -0,2483 -0,3334 -03109 0,4013 0,5407 Keterangan : Angka yang dicetak tebal adalah nilai factor loading yang memiliki eigen value lebih besar dari satu. Universitas Sumatera Utara Matriks Rotated Factor Loading diperoleh dengan mengalikan matriks factor loading dengan matriks transformasi Component Transformation Matrix. Atau dalam persamaan matematis ditulis sebagai : . 1 2 3 1 0,7840 0,5220 0,3370 = 2 -0,6180 0,7130 0,3310 3 0,670 0,4670 -0,8810 0,2939 0,5773 0,3201 -0,105 0,714 0,009 0,5189 0,1297 0,0101 0,327 0,370 0,207 0,4574 -0,5155 -0,0123 0,676 -0,134 -0,006 0,6894 0,1218 0,1670 0,627 0,352 0,044 0,5970 -0,1322 0,5890 0,7840 0,5220 0,3370 0,587 0,493 -0,362 = 0,5683 -0,4603 -0,1799 -0,6180 0,7130 0,3310 0,718 -0,116 0,198 0,7424 -0,0855 -0,2080 0,670 0,4670 -0,8810 0,621 0,228 0,406 0,4965 0,3376 -0,6682 0,136 0,118 0,868 0,5407 0,5905 0,0518 0,623 0,727 0.333 Universitas Sumatera Utara

B. PERHITUNGAN DAN