Komponen proses Komponen Output KMO and Bartletts Test Tabel Anti Image Matrices Tabel Komunalitas Tabel Total Keragaman

Lampiran 5. Hasil Perhitungan dengan Menggunakan Diagram Kotak-Garis 1. Komponen Input Peubah N Mean Min Q1 Median Q3 Maks A1 78 4,06 1 4 4 5 5 A2 78 4,06 1 4 4 4 5 A3 78 4,01 1 4 4 4 5 A4 78 4,17 1 4 4 5 5 A5 78 3,99 1 4 4 4 5 A6 78 4,08 1 4 4 4 5

2. Komponen proses

Peubah N Mean Min Q1 Median Q3 Maks B1 78 4,19 2 4 4 5 5 B2 78 3,88 1 4 4 4 5 B3 78 3,94 1 4 4 4,25 5 B4 78 4,14 1 4 4 5 5 B5 78 4,09 1 4 4 5 5 B6 78 4,17 1 4 4 5 5 B7 78 4,06 1 4 4 4 5 B8 78 4,14 1 4 4 5 5 B9 78 4,00 1 4 4 4 5 B10 78 3,83 1 4 4 4 5 B11 78 4,13 1 4 4 4,25 5 B12 78 4,18 1 4 4 5 5 B13 78 4,10 1 4 4 4,25 5 B14 78 4,38 3 4 4 5 5

3. Komponen Output

Peubah N Mean Min Q1 Median Q3 Maks C1 78 4,28 1 4 4 5 5 C2 78 4,22 1 4 4 5 5 C3 78 4,03 1 4 4 4 5 C4 78 4,09 1 4 4 4 5 C5 78 4,21 1 4 4 5 5 Lampiran 6. Hasil Perhitungan Analisis Faktor untuk Komponen Input dengan Bantuan Software SPSS 15.0 for Windows

1. KMO and Bartletts Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .785 Bartletts Test of Sphericity Approx. Chi-Square 258.346 df 15 Sig. .000

2. Tabel Anti Image Matrices

Tujuan Perlengkapan Feedback Perasaan Rekan Hasil Anti-image Covariance Tujuan .247 -.134 -.143 -.081 -.057 .037 Perlengkapan -.134 .415 .041 .133 -.008 -.210 Feedback -.143 .041 .250 .009 -.108 -.104 Perasaan -.081 .133 .009 .790 -.138 .026 Rekan -.057 -.008 -.108 -.138 .419 -.033 Hasil .037 -.210 -.104 .026 -.033 .450 Anti-image Correlation Tujuan .770a -.419 -.575 -.184 -.179 .112 Perlengkapan -.419 .737a .126 .233 -.020 -.487 Feedback -.575 .126 .778a .020 -.333 -.311 Perasaan -.184 .233 .020 .661a -.240 .043 Rekan -.179 -.020 -.333 -.240 .884a -.076 Hasil .112 -.487 -.311 .043 -.076 .797a a Measures of Sampling AdequacyMSA

3. Tabel Komunalitas

Initial Extraction Tujuan 1.000 .816 Perlengkapan 1.000 .768 Feedback 1.000 .813 Perasaan 1.000 .848 Rekan 1.000 .740 Hasil 1.000 .722 Extraction Method: Principal Component Analysis.

4. Tabel Total Keragaman

Component Initial Eigenvalues Extraction Sums of Squared Loadings Total of Variance Cumulative Total of Variance Cumulative 1 3.567 59.445 59.445 3.567 59.445 59.445 2 1.140 19.000 78.446 1.140 19.000 78.446 3 .487 8.121 86.567 4 .368 6.131 92.697 5 .296 4.927 97.625 6 .143 2.375 100.000 Extraction Method: Principal Component Analysis

5. Tabel Matrik Komponen