Faktor-Faktor yang Mempengaruhi Prestasi Kerja di PT. Kantarworld Panel Dengan Menggunakan Metode Analisis Faktor
LAMPIRAN
Universitas Sumatera Utara
Lampiran 1 Hasil Perhitungan Menggunakan Program SPSS 17.0
Inter-Item Correlation Matrix
X1
X2
X3
X4
X5
X6
X7
X8
X9
X10
X11
Y
X1
1.000
.335
.397
.319
.324
.281
.331
.325
.299
.382
.419
.727
X2
.335
1.000
.343
.166
.098
.154
.155
.068
.108
.210
.068
.449
X3
.397
.343
1.000
.548
.119
.258
.158
.293
.102
.225
.296
.641
X4
.319
.166
.548
1.000
.006
-.044
.190
.162
.273
.294
.224
.546
X5
.324
.098
.119
.006
1.000
.161
.155
.269
.270
.089
.250
.416
X6
.281
.154
.258
-.044
.161
1.000
.364
.242
.002
.341
.209
.500
X7
.331
.155
.158
.190
.155
.364
1.000
.294
.064
.318
.190
.544
X8
.325
.068
.293
.162
.269
.242
.294
1.000
.203
.342
.144
.569
X9
.299
.108
.102
.273
.270
.002
.064
.203
1.000
.064
.271
.400
X10
.382
.210
.225
.294
.089
.341
.318
.342
.064
1.000
.246
.611
X11
.419
.068
.296
.224
.250
.209
.190
.144
.271
.246
1.000
.560
Y
.727
.449
.641
.546
.416
.500
.544
.569
.400
.611
.560
1.000
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2
Reliability Statistics
Cronbach's
Alpha Based on
Cronbach's
Standardized
Alpha
Items
.734
N of Items
.822
12
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
Bartlett's Test of Sphericity
Approx. Chi-Square
df
Sig.
.601
78.863
55
.019
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Anti-image Matrices
Anti-image Correlation
a
VAR00001
.775
VAR00002
-.242 .567
VAR00003
-.081 -.306 .595
VAR00004
.079
-.242 -.081
a
-.306
a
.079 -.101
.051 -.038 -.004 -.079
-.479 -.010 -.280
.051 -.479 .588
VAR00005
-.101 -.038 -.010
VAR00006
.031 -.004 -.280
.031 -.124 -.119 -.139 -.037 -.210
a
.166
.166 .718
a
.140 -.262
.348 -.173
.348 -.038 .581
a
-.124 -.079
VAR00008
-.119
VAR00009
-.139 -.089
.176 -.274 -.200 -.021
VAR00010
-.037 -.178
.183 -.174
VAR00011
-.210
.145
.183 -.170
.017 -.274 -.174
.032
.074 -.139
-.310 -.016 -.021 -.241 -.071
.140 -.173 -.055 -.310 .696
.145 -.170
.176
-.038 -.055 -.169 -.200
VAR00007
.196 -.262
.196 -.089 -.178
a
-.157
.017 -.169 -.016 -.157 .656
a
.069 -.069 -.049
-.142 -.295
.069 -.142 .561
.074 -.241 -.069 -.295
.032 -.139 -.071 -.049
a
.103
.115 -.190
.115 .605
a
-.126
.103 -.190 -.126 .691
a
a. Measures of Sampling Adequacy(MSA)
3
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4
Communalities
Initial
Extraction
VAR00001
1.000
.554
VAR00002
1.000
.768
VAR00003
1.000
.637
VAR00004
1.000
.817
VAR00005
1.000
.568
VAR00006
1.000
.621
VAR00007
1.000
.575
VAR00008
1.000
.604
VAR00009
1.000
.622
VAR00010
1.000
.539
VAR00011
1.000
.508
Extraction Method: Principal Component
Analysis.
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Total Variance Explained
Initial Eigenvalues
Compon
ent
Total
% of Variance
Extraction Sums of Squared Loadings
Cumulative %
Total
% of Variance
Cumulative %
Rotation Sums of Squared Loadings
Total
% of Variance
Cumulative %
1
2.848
25.891
25.891
2.848
25.891
25.891
1.955
17.772
17.772
2
1.434
13.040
38.931
1.434
13.040
38.931
1.810
16.459
34.230
3
1.304
11.853
50.784
1.304
11.853
50.784
1.472
13.380
47.610
4
1.027
9.333
60.116
1.027
9.333
60.116
1.376
12.506
60.116
5
.832
7.562
67.678
6
.811
7.375
75.053
7
.733
6.662
81.715
8
.664
6.033
87.748
9
.603
5.479
93.227
10
.455
4.139
97.366
11
.290
2.634
100.000
Extraction Method: Principal Component Analysis.
5
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6
Component Matrix
a
Component
1
2
3
4
VAR00001
.639
-.006
.237
-.299
VAR00002
.455
.207
-.191
-.694
VAR00003
.554
.492
-.251
-.158
VAR00004
.276
.794
-.169
.286
VAR00005
.444
-.264
.548
-.024
VAR00006
.522
-.507
-.287
-.096
VAR00007
.556
-.284
-.253
.145
VAR00008
.607
-.039
-.079
.477
VAR00009
.403
.266
.600
.172
VAR00010
.517
-.194
-.417
.246
VAR00011
.522
-.048
.365
.017
Extraction Method: Principal Component Analysis.
a. 4 components extracted.
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7
Rotated Component Matrix
a
Component
1
2
3
4
VAR00001
.197
.541
.011
.471
VAR00002
.064
.052
.071
.870
VAR00003
.215
.083
.559
.421
VAR00004
.008
.006
.901
.067
VAR00005
.122
.711
-.215
.034
VAR00006
.681
.079
-.289
.261
VAR00007
.668
.133
-.001
.106
VAR00008
.616
.315
.321
-.146
VAR00009
-.102
.720
.299
-.056
VAR00010
.719
-.020
.133
.057
VAR00011
.183
.600
.041
.115
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 5 iterations.
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8
Lampiran 2 Data Ordinal
No X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11
1
4
5
4
4
4
4
4
5
4
4
4
2
4
4
5
5
5
4
4
5
5
3
4
3
4
4
4
5
4
4
3
5
4
4
3
4
4
4
4
4
4
3
3
3
4
4
3
5
4
4
3
4
4
5
4
3
4
4
3
6
3
4
4
3
5
5
4
3
4
3
4
7
4
5
4
5
3
4
5
3
3
4
3
8
4
5
4
3
5
4
4
5
4
3
3
9
4
4
4
5
4
3
4
3
4
4
5
10
4
5
4
4
4
5
3
3
4
5
4
11
3
4
3
4
5
4
4
3
4
5
4
12
3
4
3
3
4
4
3
3
4
4
4
13
4
5
4
5
4
4
5
3
3
3
3
14
4
4
4
3
5
4
3
3
3
3
4
15
3
4
4
5
4
4
5
3
3
4
3
16
4
5
4
5
5
4
3
5
4
4
4
17
4
4
4
4
4
3
4
3
4
4
5
18
4
4
3
3
4
5
4
3
4
3
3
19
5
4
3
4
5
3
4
3
4
3
5
20
2
3
3
3
3
2
2
1
3
2
3
21
5
5
5
5
4
4
3
3
5
3
5
22
4
4
5
4
4
4
4
4
4
4
3
23
4
3
3
4
4
4
3
3
4
3
3
24
4
5
3
4
5
3
3
3
4
3
4
25
4
3
4
5
4
3
4
5
3
4
3
26
4
4
5
5
4
3
3
3
4
3
3
27
4
4
4
4
5
3
3
3
4
3
3
28
4
3
3
3
4
4
4
3
4
3
3
29
5
5
3
3
4
3
4
3
4
4
3
30
4
5
3
4
4
3
3
3
4
5
3
31
4
3
3
5
4
3
3
4
4
4
3
32
4
4
4
3
5
4
4
4
3
5
3
33
4
3
4
5
4
3
3
4
4
4
5
34
4
3
3
4
4
3
4
3
4
3
4
35
4
3
3
4
4
4
3
3
4
4
3
36
4
3
3
4
4
5
5
4
4
5
4
37
3
4
4
5
4
3
4
3
4
3
4
38
4
3
3
3
4
4
4
5
4
4
5
39
4
4
3
4
5
3
4
4
4
5
4
40
1
3
1
1
3
2
2
3
3
1
1
41
5
4
4
3
5
4
5
5
4
4
4
42
4
5
3
4
4
3
5
4
5
4
3
43
3
3
4
5
4
3
4
4
5
4
3
44
4
5
5
4
3
4
3
4
3
5
3
45
4
5
4
4
3
4
4
4
4
4
5
46
4
3
4
3
4
5
4
4
3
4
5
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9
Lampiran 3 Hasil Penskalaan Data
Succesive
Detail
Col
1.000
2.000
3.000
4.000
5.000
6.000
7.000
8.000
9.000
10.000
11.000
Category
Freq
Prop
Cum
Density
Z
Scale
1.000
1.000
0.022
0.022
0.052
-2.019
1.000
2.000
1.000
0.022
0.043
0.092
-1.712
1.539
3.000
6.000
0.130
0.174
0.257
-0.939
2.128
4.000
34.000
0.739
0.913
0.158
1.360
3.523
5.000
4.000
0.087
1.000
0.000
3.000
13.000
0.283
0.283
0.338
-0.575
1.000
4.000
20.000
0.435
0.717
0.338
0.575
2.196
5.000
13.000
0.283
1.000
0.000
1.000
1.000
0.022
0.022
0.052
-2.019
1.000
3.000
18.000
0.391
0.413
0.389
-0.220
2.528
4.000
22.000
0.478
0.891
0.186
1.233
3.815
5.000
5.000
0.109
1.000
0.000
3.000
13.000
0.283
0.283
0.338
-0.575
1.000
4.000
19.000
0.413
0.696
0.350
0.512
2.168
5.000
14.000
0.304
1.000
0.000
3.000
5.000
0.109
0.109
0.186
-1.233
1.000
4.000
29.000
0.630
0.739
0.325
0.641
2.495
5.000
12.000
0.261
1.000
0.000
2.000
2.000
0.043
0.043
0.092
-1.712
1.000
3.000
17.000
0.370
0.413
0.389
-0.220
2.316
4.000
21.000
0.457
0.870
0.212
1.124
3.509
5.000
6.000
0.130
1.000
0.000
8.161
4.746
2.000
2.000
0.043
0.043
0.092
-1.712
1.000
3.000
16.000
0.348
0.391
0.384
-0.276
2.281
4.000
22.000
0.478
0.870
0.212
1.124
3.480
5.000
6.000
0.130
1.000
0.000
1.000
1.000
0.022
0.022
0.052
-2.019
1.000
3.000
26.000
0.565
0.587
0.389
0.220
2.793
4.000
11.000
0.239
0.826
0.257
0.939
3.945
5.000
8.000
0.174
1.000
0.000
8.161
4.866
3.000
10.000
0.217
0.217
0.294
-0.781
1.000
4.000
32.000
0.696
0.913
0.158
1.360
2.548
5.000
4.000
0.087
1.000
0.000
1.000
1.000
0.022
0.022
0.052
-2.019
1.000
2.000
1.000
0.022
0.043
0.092
-1.712
1.539
3.000
15.000
0.326
0.370
0.377
-0.333
2.515
4.000
22.000
0.478
0.848
0.235
1.027
3.687
5.000
7.000
0.152
1.000
0.000
1.000
1.000
0.022
0.022
0.052
-2.019
1.000
3.000
23.000
0.500
0.522
0.398
0.055
2.697
4.000
14.000
0.304
0.826
0.257
0.939
3.855
5.000
8.000
0.174
1.000
0.000
5.210
3.393
5.105
3.346
3.961
4.746
4.173
4.937
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4.866
2
Succesive
Interval
4
5
4
4
4
4
4
5
4
4
4
3.523 3.393 3.815 2.168 2.495 3.509 3.480 4.866 2.548 3.687 3.855
3.523 2.196 5.105 3.346 3.961 3.509 3.480 4.866 4.173 2.515 3.855
3.523 2.196 3.815 3.346 2.495 3.509 2.281 4.866 2.548 3.687 2.697
3.523 2.196 3.815 2.168 2.495 2.316 2.281 2.793 2.548 3.687 2.697
3.523 2.196 2.528 2.168 2.495 4.746 3.480 2.793 2.548 3.687 2.697
2.128 2.196 3.815 1.000 3.961 4.746 3.480 2.793 2.548 2.515 3.855
3.523 3.393 3.815 3.346 1.000 3.509 4.746 2.793 1.000 3.687 2.697
3.523 3.393 3.815 1.000 3.961 3.509 3.480 4.866 2.548 2.515 2.697
3.523 2.196 3.815 3.346 2.495 2.316 3.480 2.793 2.548 3.687 4.866
3.523 3.393 3.815 2.168 2.495 4.746 2.281 2.793 2.548 4.937 3.855
2.128 2.196 2.528 2.168 3.961 3.509 3.480 2.793 2.548 4.937 3.855
2.128 2.196 2.528 1.000 2.495 3.509 2.281 2.793 2.548 3.687 3.855
3.523 3.393 3.815 3.346 2.495 3.509 4.746 2.793 1.000 2.515 2.697
3.523 2.196 3.815 1.000 3.961 3.509 2.281 2.793 1.000 2.515 3.855
2.128 2.196 3.815 3.346 2.495 3.509 4.746 2.793 1.000 3.687 2.697
3.523 3.393 3.815 3.346 3.961 3.509 2.281 4.866 2.548 3.687 3.855
3.523 2.196 3.815 2.168 2.495 2.316 3.480 2.793 2.548 3.687 4.866
3.523 2.196 2.528 1.000 2.495 4.746 3.480 2.793 2.548 2.515 2.697
5.210 2.196 2.528 2.168 3.961 2.316 3.480 2.793 2.548 2.515 4.866
1.539 1.000 2.528 1.000 1.000 1.000 1.000 1.000 1.000 1.539 2.697
5.210 3.393 5.105 3.346 2.495 3.509 2.281 2.793 4.173 2.515 4.866
3.523 2.196 5.105 2.168 2.495 3.509 3.480 3.945 2.548 3.687 2.697
3.523 1.000 2.528 2.168 2.495 3.509 2.281 2.793 2.548 2.515 2.697
3.523 3.393 2.528 2.168 3.961 2.316 2.281 2.793 2.548 2.515 3.855
3.523 1.000 3.815 3.346 2.495 2.316 3.480 4.866 1.000 3.687 2.697
3.523 2.196 5.105 3.346 2.495 2.316 2.281 2.793 2.548 2.515 2.697
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3
3.523 2.196 3.815 2.168 3.961 2.316 2.281 2.793 2.548 2.515 2.697
3.523 1.000 2.528 1.000 2.495 3.509 3.480 2.793 2.548 2.515 2.697
5.210 3.393 2.528 1.000 2.495 2.316 3.480 2.793 2.548 3.687 2.697
3.523 3.393 2.528 2.168 2.495 2.316 2.281 2.793 2.548 4.937 2.697
3.523 1.000 2.528 3.346 2.495 2.316 2.281 3.945 2.548 3.687 2.697
3.523 2.196 3.815 1.000 3.961 3.509 3.480 3.945 1.000 4.937 2.697
3.523 1.000 3.815 3.346 2.495 2.316 2.281 3.945 2.548 3.687 4.866
3.523 1.000 2.528 2.168 2.495 2.316 3.480 2.793 2.548 2.515 3.855
3.523 1.000 2.528 2.168 2.495 3.509 2.281 2.793 2.548 3.687 2.697
3.523 1.000 2.528 2.168 2.495 4.746 4.746 3.945 2.548 4.937 3.855
2.128 2.196 3.815 3.346 2.495 2.316 3.480 2.793 2.548 2.515 3.855
3.523 1.000 2.528 1.000 2.495 3.509 3.480 4.866 2.548 3.687 4.866
3.523 2.196 2.528 2.168 3.961 2.316 3.480 3.945 2.548 4.937 3.855
1.000 1.000 1.000 1.000 1.000 1.000 1.000 2.793 1.000 1.000 1.000
5.210 2.196 3.815 1.000 3.961 3.509 4.746 4.866 2.548 3.687 3.855
3.523 3.393 2.528 2.168 2.495 2.316 4.746 3.945 4.173 3.687 2.697
2.128 1.000 3.815 3.346 2.495 2.316 3.480 3.945 4.173 3.687 2.697
3.523 3.393 5.105 2.168 1.000 3.509 2.281 3.945 1.000 4.937 2.697
3.523 3.393 3.815 2.168 1.000 3.509 3.480 3.945 2.548 3.687 4.866
3.523 1.000 3.815 1.000 2.495 4.746 3.480 3.945 1.000 3.687 4.866
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1
Lampiran 4
DAFTAR PERTANYAAN
PETUNJUK PENGISIAN
Adapun cara pengisian dari jawaban saudar/i antara lain:
1. Mohon dengan hormat bantuan saudara/i untuk mengisi seluruh
pernyataan yang ada.
2. Pada kuesioner ini terdapat 11 variabel.
3. Berilah tanda(√) atau tanda (×). Cukup 1 (satu) kali pengisian pada setiap
pernyataan.
4. Ada 5 (lima) alternative jawaban,yaitu
SS
= Sangat Setuju
S
= Setuju
BS
= Biasa Saja
TS
= Tidak Setuju
STS
= Sangat Tidak Setuju
IDENTITAS RESPONDEN
1. Nama
: …………………………………….
2. Alamat
: …………………………………….
3. Umur
: …………………………………….
4. Jenis Kelamin
:[
]Laki-laki
[
]Perempuan
5. Pendidikan Terakhir : …………………………………….
6. Jabatan
: …………………………………….
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2
NO
1
PERNYATAAN
Prestasi kerja dapat ditingkatkan dengan
S
BS
TS
STS
menaikkan gaji karyawan
Semakin
2
SS
banyak
insetif
yang
dapat
meningkatkan prestasi kerja karyawan.
Sering berinteraksi sosial atau bercakap-
3
cakap antar karyawan dapat meingkatkan
prestasi kerja karyawan.
Prestasi kerja karyawan dapat ditingkatkan
4
dengan adanya motivasi dari atasan/bos
Kelengkapan
5
dikantor
dapat
meningkatkan prestasi kerja karyawan.
Gaya
6
fasilitas
kepemimpinan
atasan
terhadap
pekerjaan dapat meningkatkan prestasi
kerja karyawan.
Hasil
7
kerja
yang
maksimal
dapat
meningkatkan prestasi kerja karyawan
meningkat.
8
Sering
berinisiatif
terhadap
dapat
meningkatkan
pekerjaan
prestasi
kerja
karyawan.
Bekerja
9
dengan
disiplin
dapat
meningkatkan prestasi kerja karyawan.
Lingkungan kerja yang nyaman, bersih,
10
dan
bersahabat
dapat
meningkatkan
prestasi kerja karyawan.
Dengan pengetahuan tentang pekerjaan
11
yang luas akan meningkatkan prestasi
kerja karyawan.
Universitas Sumatera Utara
Universitas Sumatera Utara
Lampiran 1 Hasil Perhitungan Menggunakan Program SPSS 17.0
Inter-Item Correlation Matrix
X1
X2
X3
X4
X5
X6
X7
X8
X9
X10
X11
Y
X1
1.000
.335
.397
.319
.324
.281
.331
.325
.299
.382
.419
.727
X2
.335
1.000
.343
.166
.098
.154
.155
.068
.108
.210
.068
.449
X3
.397
.343
1.000
.548
.119
.258
.158
.293
.102
.225
.296
.641
X4
.319
.166
.548
1.000
.006
-.044
.190
.162
.273
.294
.224
.546
X5
.324
.098
.119
.006
1.000
.161
.155
.269
.270
.089
.250
.416
X6
.281
.154
.258
-.044
.161
1.000
.364
.242
.002
.341
.209
.500
X7
.331
.155
.158
.190
.155
.364
1.000
.294
.064
.318
.190
.544
X8
.325
.068
.293
.162
.269
.242
.294
1.000
.203
.342
.144
.569
X9
.299
.108
.102
.273
.270
.002
.064
.203
1.000
.064
.271
.400
X10
.382
.210
.225
.294
.089
.341
.318
.342
.064
1.000
.246
.611
X11
.419
.068
.296
.224
.250
.209
.190
.144
.271
.246
1.000
.560
Y
.727
.449
.641
.546
.416
.500
.544
.569
.400
.611
.560
1.000
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2
Reliability Statistics
Cronbach's
Alpha Based on
Cronbach's
Standardized
Alpha
Items
.734
N of Items
.822
12
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
Bartlett's Test of Sphericity
Approx. Chi-Square
df
Sig.
.601
78.863
55
.019
Universitas Sumatera Utara
Anti-image Matrices
Anti-image Correlation
a
VAR00001
.775
VAR00002
-.242 .567
VAR00003
-.081 -.306 .595
VAR00004
.079
-.242 -.081
a
-.306
a
.079 -.101
.051 -.038 -.004 -.079
-.479 -.010 -.280
.051 -.479 .588
VAR00005
-.101 -.038 -.010
VAR00006
.031 -.004 -.280
.031 -.124 -.119 -.139 -.037 -.210
a
.166
.166 .718
a
.140 -.262
.348 -.173
.348 -.038 .581
a
-.124 -.079
VAR00008
-.119
VAR00009
-.139 -.089
.176 -.274 -.200 -.021
VAR00010
-.037 -.178
.183 -.174
VAR00011
-.210
.145
.183 -.170
.017 -.274 -.174
.032
.074 -.139
-.310 -.016 -.021 -.241 -.071
.140 -.173 -.055 -.310 .696
.145 -.170
.176
-.038 -.055 -.169 -.200
VAR00007
.196 -.262
.196 -.089 -.178
a
-.157
.017 -.169 -.016 -.157 .656
a
.069 -.069 -.049
-.142 -.295
.069 -.142 .561
.074 -.241 -.069 -.295
.032 -.139 -.071 -.049
a
.103
.115 -.190
.115 .605
a
-.126
.103 -.190 -.126 .691
a
a. Measures of Sampling Adequacy(MSA)
3
Universitas Sumatera Utara
4
Communalities
Initial
Extraction
VAR00001
1.000
.554
VAR00002
1.000
.768
VAR00003
1.000
.637
VAR00004
1.000
.817
VAR00005
1.000
.568
VAR00006
1.000
.621
VAR00007
1.000
.575
VAR00008
1.000
.604
VAR00009
1.000
.622
VAR00010
1.000
.539
VAR00011
1.000
.508
Extraction Method: Principal Component
Analysis.
Universitas Sumatera Utara
Total Variance Explained
Initial Eigenvalues
Compon
ent
Total
% of Variance
Extraction Sums of Squared Loadings
Cumulative %
Total
% of Variance
Cumulative %
Rotation Sums of Squared Loadings
Total
% of Variance
Cumulative %
1
2.848
25.891
25.891
2.848
25.891
25.891
1.955
17.772
17.772
2
1.434
13.040
38.931
1.434
13.040
38.931
1.810
16.459
34.230
3
1.304
11.853
50.784
1.304
11.853
50.784
1.472
13.380
47.610
4
1.027
9.333
60.116
1.027
9.333
60.116
1.376
12.506
60.116
5
.832
7.562
67.678
6
.811
7.375
75.053
7
.733
6.662
81.715
8
.664
6.033
87.748
9
.603
5.479
93.227
10
.455
4.139
97.366
11
.290
2.634
100.000
Extraction Method: Principal Component Analysis.
5
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6
Component Matrix
a
Component
1
2
3
4
VAR00001
.639
-.006
.237
-.299
VAR00002
.455
.207
-.191
-.694
VAR00003
.554
.492
-.251
-.158
VAR00004
.276
.794
-.169
.286
VAR00005
.444
-.264
.548
-.024
VAR00006
.522
-.507
-.287
-.096
VAR00007
.556
-.284
-.253
.145
VAR00008
.607
-.039
-.079
.477
VAR00009
.403
.266
.600
.172
VAR00010
.517
-.194
-.417
.246
VAR00011
.522
-.048
.365
.017
Extraction Method: Principal Component Analysis.
a. 4 components extracted.
Universitas Sumatera Utara
7
Rotated Component Matrix
a
Component
1
2
3
4
VAR00001
.197
.541
.011
.471
VAR00002
.064
.052
.071
.870
VAR00003
.215
.083
.559
.421
VAR00004
.008
.006
.901
.067
VAR00005
.122
.711
-.215
.034
VAR00006
.681
.079
-.289
.261
VAR00007
.668
.133
-.001
.106
VAR00008
.616
.315
.321
-.146
VAR00009
-.102
.720
.299
-.056
VAR00010
.719
-.020
.133
.057
VAR00011
.183
.600
.041
.115
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 5 iterations.
Universitas Sumatera Utara
8
Lampiran 2 Data Ordinal
No X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11
1
4
5
4
4
4
4
4
5
4
4
4
2
4
4
5
5
5
4
4
5
5
3
4
3
4
4
4
5
4
4
3
5
4
4
3
4
4
4
4
4
4
3
3
3
4
4
3
5
4
4
3
4
4
5
4
3
4
4
3
6
3
4
4
3
5
5
4
3
4
3
4
7
4
5
4
5
3
4
5
3
3
4
3
8
4
5
4
3
5
4
4
5
4
3
3
9
4
4
4
5
4
3
4
3
4
4
5
10
4
5
4
4
4
5
3
3
4
5
4
11
3
4
3
4
5
4
4
3
4
5
4
12
3
4
3
3
4
4
3
3
4
4
4
13
4
5
4
5
4
4
5
3
3
3
3
14
4
4
4
3
5
4
3
3
3
3
4
15
3
4
4
5
4
4
5
3
3
4
3
16
4
5
4
5
5
4
3
5
4
4
4
17
4
4
4
4
4
3
4
3
4
4
5
18
4
4
3
3
4
5
4
3
4
3
3
19
5
4
3
4
5
3
4
3
4
3
5
20
2
3
3
3
3
2
2
1
3
2
3
21
5
5
5
5
4
4
3
3
5
3
5
22
4
4
5
4
4
4
4
4
4
4
3
23
4
3
3
4
4
4
3
3
4
3
3
24
4
5
3
4
5
3
3
3
4
3
4
25
4
3
4
5
4
3
4
5
3
4
3
26
4
4
5
5
4
3
3
3
4
3
3
27
4
4
4
4
5
3
3
3
4
3
3
28
4
3
3
3
4
4
4
3
4
3
3
29
5
5
3
3
4
3
4
3
4
4
3
30
4
5
3
4
4
3
3
3
4
5
3
31
4
3
3
5
4
3
3
4
4
4
3
32
4
4
4
3
5
4
4
4
3
5
3
33
4
3
4
5
4
3
3
4
4
4
5
34
4
3
3
4
4
3
4
3
4
3
4
35
4
3
3
4
4
4
3
3
4
4
3
36
4
3
3
4
4
5
5
4
4
5
4
37
3
4
4
5
4
3
4
3
4
3
4
38
4
3
3
3
4
4
4
5
4
4
5
39
4
4
3
4
5
3
4
4
4
5
4
40
1
3
1
1
3
2
2
3
3
1
1
41
5
4
4
3
5
4
5
5
4
4
4
42
4
5
3
4
4
3
5
4
5
4
3
43
3
3
4
5
4
3
4
4
5
4
3
44
4
5
5
4
3
4
3
4
3
5
3
45
4
5
4
4
3
4
4
4
4
4
5
46
4
3
4
3
4
5
4
4
3
4
5
Universitas Sumatera Utara
9
Lampiran 3 Hasil Penskalaan Data
Succesive
Detail
Col
1.000
2.000
3.000
4.000
5.000
6.000
7.000
8.000
9.000
10.000
11.000
Category
Freq
Prop
Cum
Density
Z
Scale
1.000
1.000
0.022
0.022
0.052
-2.019
1.000
2.000
1.000
0.022
0.043
0.092
-1.712
1.539
3.000
6.000
0.130
0.174
0.257
-0.939
2.128
4.000
34.000
0.739
0.913
0.158
1.360
3.523
5.000
4.000
0.087
1.000
0.000
3.000
13.000
0.283
0.283
0.338
-0.575
1.000
4.000
20.000
0.435
0.717
0.338
0.575
2.196
5.000
13.000
0.283
1.000
0.000
1.000
1.000
0.022
0.022
0.052
-2.019
1.000
3.000
18.000
0.391
0.413
0.389
-0.220
2.528
4.000
22.000
0.478
0.891
0.186
1.233
3.815
5.000
5.000
0.109
1.000
0.000
3.000
13.000
0.283
0.283
0.338
-0.575
1.000
4.000
19.000
0.413
0.696
0.350
0.512
2.168
5.000
14.000
0.304
1.000
0.000
3.000
5.000
0.109
0.109
0.186
-1.233
1.000
4.000
29.000
0.630
0.739
0.325
0.641
2.495
5.000
12.000
0.261
1.000
0.000
2.000
2.000
0.043
0.043
0.092
-1.712
1.000
3.000
17.000
0.370
0.413
0.389
-0.220
2.316
4.000
21.000
0.457
0.870
0.212
1.124
3.509
5.000
6.000
0.130
1.000
0.000
8.161
4.746
2.000
2.000
0.043
0.043
0.092
-1.712
1.000
3.000
16.000
0.348
0.391
0.384
-0.276
2.281
4.000
22.000
0.478
0.870
0.212
1.124
3.480
5.000
6.000
0.130
1.000
0.000
1.000
1.000
0.022
0.022
0.052
-2.019
1.000
3.000
26.000
0.565
0.587
0.389
0.220
2.793
4.000
11.000
0.239
0.826
0.257
0.939
3.945
5.000
8.000
0.174
1.000
0.000
8.161
4.866
3.000
10.000
0.217
0.217
0.294
-0.781
1.000
4.000
32.000
0.696
0.913
0.158
1.360
2.548
5.000
4.000
0.087
1.000
0.000
1.000
1.000
0.022
0.022
0.052
-2.019
1.000
2.000
1.000
0.022
0.043
0.092
-1.712
1.539
3.000
15.000
0.326
0.370
0.377
-0.333
2.515
4.000
22.000
0.478
0.848
0.235
1.027
3.687
5.000
7.000
0.152
1.000
0.000
1.000
1.000
0.022
0.022
0.052
-2.019
1.000
3.000
23.000
0.500
0.522
0.398
0.055
2.697
4.000
14.000
0.304
0.826
0.257
0.939
3.855
5.000
8.000
0.174
1.000
0.000
5.210
3.393
5.105
3.346
3.961
4.746
4.173
4.937
Universitas Sumatera Utara
4.866
2
Succesive
Interval
4
5
4
4
4
4
4
5
4
4
4
3.523 3.393 3.815 2.168 2.495 3.509 3.480 4.866 2.548 3.687 3.855
3.523 2.196 5.105 3.346 3.961 3.509 3.480 4.866 4.173 2.515 3.855
3.523 2.196 3.815 3.346 2.495 3.509 2.281 4.866 2.548 3.687 2.697
3.523 2.196 3.815 2.168 2.495 2.316 2.281 2.793 2.548 3.687 2.697
3.523 2.196 2.528 2.168 2.495 4.746 3.480 2.793 2.548 3.687 2.697
2.128 2.196 3.815 1.000 3.961 4.746 3.480 2.793 2.548 2.515 3.855
3.523 3.393 3.815 3.346 1.000 3.509 4.746 2.793 1.000 3.687 2.697
3.523 3.393 3.815 1.000 3.961 3.509 3.480 4.866 2.548 2.515 2.697
3.523 2.196 3.815 3.346 2.495 2.316 3.480 2.793 2.548 3.687 4.866
3.523 3.393 3.815 2.168 2.495 4.746 2.281 2.793 2.548 4.937 3.855
2.128 2.196 2.528 2.168 3.961 3.509 3.480 2.793 2.548 4.937 3.855
2.128 2.196 2.528 1.000 2.495 3.509 2.281 2.793 2.548 3.687 3.855
3.523 3.393 3.815 3.346 2.495 3.509 4.746 2.793 1.000 2.515 2.697
3.523 2.196 3.815 1.000 3.961 3.509 2.281 2.793 1.000 2.515 3.855
2.128 2.196 3.815 3.346 2.495 3.509 4.746 2.793 1.000 3.687 2.697
3.523 3.393 3.815 3.346 3.961 3.509 2.281 4.866 2.548 3.687 3.855
3.523 2.196 3.815 2.168 2.495 2.316 3.480 2.793 2.548 3.687 4.866
3.523 2.196 2.528 1.000 2.495 4.746 3.480 2.793 2.548 2.515 2.697
5.210 2.196 2.528 2.168 3.961 2.316 3.480 2.793 2.548 2.515 4.866
1.539 1.000 2.528 1.000 1.000 1.000 1.000 1.000 1.000 1.539 2.697
5.210 3.393 5.105 3.346 2.495 3.509 2.281 2.793 4.173 2.515 4.866
3.523 2.196 5.105 2.168 2.495 3.509 3.480 3.945 2.548 3.687 2.697
3.523 1.000 2.528 2.168 2.495 3.509 2.281 2.793 2.548 2.515 2.697
3.523 3.393 2.528 2.168 3.961 2.316 2.281 2.793 2.548 2.515 3.855
3.523 1.000 3.815 3.346 2.495 2.316 3.480 4.866 1.000 3.687 2.697
3.523 2.196 5.105 3.346 2.495 2.316 2.281 2.793 2.548 2.515 2.697
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3
3.523 2.196 3.815 2.168 3.961 2.316 2.281 2.793 2.548 2.515 2.697
3.523 1.000 2.528 1.000 2.495 3.509 3.480 2.793 2.548 2.515 2.697
5.210 3.393 2.528 1.000 2.495 2.316 3.480 2.793 2.548 3.687 2.697
3.523 3.393 2.528 2.168 2.495 2.316 2.281 2.793 2.548 4.937 2.697
3.523 1.000 2.528 3.346 2.495 2.316 2.281 3.945 2.548 3.687 2.697
3.523 2.196 3.815 1.000 3.961 3.509 3.480 3.945 1.000 4.937 2.697
3.523 1.000 3.815 3.346 2.495 2.316 2.281 3.945 2.548 3.687 4.866
3.523 1.000 2.528 2.168 2.495 2.316 3.480 2.793 2.548 2.515 3.855
3.523 1.000 2.528 2.168 2.495 3.509 2.281 2.793 2.548 3.687 2.697
3.523 1.000 2.528 2.168 2.495 4.746 4.746 3.945 2.548 4.937 3.855
2.128 2.196 3.815 3.346 2.495 2.316 3.480 2.793 2.548 2.515 3.855
3.523 1.000 2.528 1.000 2.495 3.509 3.480 4.866 2.548 3.687 4.866
3.523 2.196 2.528 2.168 3.961 2.316 3.480 3.945 2.548 4.937 3.855
1.000 1.000 1.000 1.000 1.000 1.000 1.000 2.793 1.000 1.000 1.000
5.210 2.196 3.815 1.000 3.961 3.509 4.746 4.866 2.548 3.687 3.855
3.523 3.393 2.528 2.168 2.495 2.316 4.746 3.945 4.173 3.687 2.697
2.128 1.000 3.815 3.346 2.495 2.316 3.480 3.945 4.173 3.687 2.697
3.523 3.393 5.105 2.168 1.000 3.509 2.281 3.945 1.000 4.937 2.697
3.523 3.393 3.815 2.168 1.000 3.509 3.480 3.945 2.548 3.687 4.866
3.523 1.000 3.815 1.000 2.495 4.746 3.480 3.945 1.000 3.687 4.866
Universitas Sumatera Utara
1
Lampiran 4
DAFTAR PERTANYAAN
PETUNJUK PENGISIAN
Adapun cara pengisian dari jawaban saudar/i antara lain:
1. Mohon dengan hormat bantuan saudara/i untuk mengisi seluruh
pernyataan yang ada.
2. Pada kuesioner ini terdapat 11 variabel.
3. Berilah tanda(√) atau tanda (×). Cukup 1 (satu) kali pengisian pada setiap
pernyataan.
4. Ada 5 (lima) alternative jawaban,yaitu
SS
= Sangat Setuju
S
= Setuju
BS
= Biasa Saja
TS
= Tidak Setuju
STS
= Sangat Tidak Setuju
IDENTITAS RESPONDEN
1. Nama
: …………………………………….
2. Alamat
: …………………………………….
3. Umur
: …………………………………….
4. Jenis Kelamin
:[
]Laki-laki
[
]Perempuan
5. Pendidikan Terakhir : …………………………………….
6. Jabatan
: …………………………………….
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2
NO
1
PERNYATAAN
Prestasi kerja dapat ditingkatkan dengan
S
BS
TS
STS
menaikkan gaji karyawan
Semakin
2
SS
banyak
insetif
yang
dapat
meningkatkan prestasi kerja karyawan.
Sering berinteraksi sosial atau bercakap-
3
cakap antar karyawan dapat meingkatkan
prestasi kerja karyawan.
Prestasi kerja karyawan dapat ditingkatkan
4
dengan adanya motivasi dari atasan/bos
Kelengkapan
5
dikantor
dapat
meningkatkan prestasi kerja karyawan.
Gaya
6
fasilitas
kepemimpinan
atasan
terhadap
pekerjaan dapat meningkatkan prestasi
kerja karyawan.
Hasil
7
kerja
yang
maksimal
dapat
meningkatkan prestasi kerja karyawan
meningkat.
8
Sering
berinisiatif
terhadap
dapat
meningkatkan
pekerjaan
prestasi
kerja
karyawan.
Bekerja
9
dengan
disiplin
dapat
meningkatkan prestasi kerja karyawan.
Lingkungan kerja yang nyaman, bersih,
10
dan
bersahabat
dapat
meningkatkan
prestasi kerja karyawan.
Dengan pengetahuan tentang pekerjaan
11
yang luas akan meningkatkan prestasi
kerja karyawan.
Universitas Sumatera Utara