Eksplorasi karakter mahasiswa dalam keterkaitannya dengan ketidakpuasan mahasiswa dalam berkuliah - Widya Mandala Catholic University Surabaya Repository
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3
4
4
5
3
3
4
5
3
2
3
4
5
2
2
2
3
3
2
3
3
5
5
3
3
4
5
4
3
4
3
3
2
2
3
2
5
5
2
5
4
5
5
3
3
2
3
3
3
3
2
3
3
4
2
3
3
5
3
3
3
4
4
2
3
4
3
3
3
3
3
2
2
1
1
4
5
3
2
3
3
3
2
3
1
2
3
3 Valid
4 Valid
3
3 Valid
5 Valid
3 Tidak valid
4
3
4
3
5
3
3
2
3
2
2
3
2
2
3 Tidak valid
3 Tidak valid
3
5
4
5
2
3 Valid
1 Valid
4 Valid
3 Tidak valid
3
3
4
1
-
4
3
2
1
1
1
2
2
4
2
3
3
2
3
3
5
3
3
1
2
4 Valid
3 Valid
4 Valid
4 Valid
3 Valid
3 Valid
2 Tidak valid
4 Valid
3 Valid
5
3
3
2
Valid
Valid
Valid
Valid
2
3
4
3
Valid
Tidak valid
Valid
Valid
3
2
2
5
Tioak valid
Valid
Tidak valid
Valid
Valid
Valid
Valid
Valid
Tidak valid
Valid
3
5
2
2
2
3
3
3
2
3
4
2
2
2
2
3
3
2
5
5
2
3
4
2
3
5
2
2
5
5
5
4 Valid
5 Valid
3
4
2
4
4
4
4
3
5
2
5
2
4
3
3
5
1
3
4
3
5
3
3
3
3
4
4
2
3
Valid
Valid
Valid
Valid
Valid
Valid
Valid
Lampiran A - 2
* * * * * *
HIE R ARC HIe ALe L U S T E R A N A L Y SIS * *
Dendrogram using Average Linkage (Between Groups)
Rescaled Distance Cluster Combine
CAS E
Label Num
0
5
335
~
337
60
--l
~
199
~
334
182
191
77
177
61
314
239
282
299
75
I
=h, I
-j'
---1
~
153
181
5
297
362
24
149
351
124
151
38
161
152
190
15
23
4
198
19
320
332
364
322
lOB
120
I
T1
296
ll8
10
15
20
25
+---------+---------+---------+---------+---------+
WI
I
~=rl
III
=th
~I
~
* * * *
* * * * * * HIE R ARC HIe ALe L U S T E R A N A L Y SIS * * * * * *
CAS
Label
:s
o
Num
+---------+---------+---------+---------+---------+
180
5
~
336
3
114
197
165
175
234
81
20
78
~ I
---n
---" I
~I
255
262
357
303
325
~I
25
361
105
188
~I
I
.~
8
321
~I
68
328
329
170
370
169
47
345
266
2
138
=r:JII II
IHil
~Iil
=ni
~lh
365
227
~I
116
268
6
302
86
1
i
~I
158
248
I
II
~
II
308
331
h
-n~
~
II
10
15
20
25
* * * * * * HIE R ARC HIe A L e L U S T E R A N A L Y SIS * * * * * *
o
CAS E
Label
Num
5
10
15
25
20
+---------+---------+---------+---------+-- _______ +
230
348
16
76
300
18
356
317
324
57
10
154 """
201
64
237
330
103
28
42
94
101
122
247
352
179
162
353
1%
309
254
263
372
264
52
33
89
102
2 95
7
243
115
117
93
95
245
* * * *
*
~
HIE R ARC H rCA
L
C
L
U S T ERA
N
A
L
Y S r s
*
* * *
* *
o
CAS E
Label
Num
5
10
15
20
25
+---------+---------+---------+---------+---------+
91
92
205
207
204
232
249
294
130
236
212
225
211
202
203
208
209
217
222
213
215
210
2') 1
82
214
29
106
142
265
311
347
350
315
358
51
70
298
313
257
167
134
195
54
71
164
* * *
* *
* HIE R ARC HIe ALe L U S T E R A N A L Y SIS * * * * * *
o
CAS E
Label
Num
5
;.-
10
15
20
25
+---------+---------+---------+---------+---------+
41
109
310
306
119
133
55
277-
176
219
368
360
74
349
62
194
144
166
289
231
73
192
323
171
319
66
129
96
244
189
290
157
34.,
126
48
121
37
168
333
150
355
80
97
79
~
88
* *
* HIE R ARC HIe ALe L U S T E R A N A L Y SIS
+
* *
~
* *
o
CAS E
Label
Num
10
5
15
20
25
+---------+---------+---------+---------+---------+
-~
32
346
36
~l
46
304
146
253
----II
II
=r'h
' I
I
145
69
43
50
30
45
67
156
278
III
~1
305
~fl~I
22
112
226
11
287
53
-'~
281
49
338
65
250
87
283
27
I
___I
261
56
I
, I!
I
84
292
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--'1--"
173
286
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II
II
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147
~!
I
241
371
307
220
_J I
i
238
* * * * * * HIE R ARC HIe ALe L U S T ERA N A L
CAS E
o
5
10
15
:0
~
SIS * *
25
~
* * *
Label
Num
+---------+---------+------7--+---------+---------+
172
357
240
206
260
128
223
139
159
375
I
90
340
lSI
\
58
I
I
\I
107
II
200
274
163
II
270
I
326
I I
I
Ih
I
59
271
I,
I
272
I
I
273
I, II
155
258
127
141
12
!
316
II
44
280
! I
II
184
339
110
363
I
I
I
I
I
131
17
233
267
113
186
148
193
318
* * * * * * HIE R ARC HIe A L e L U S T E R A N A L Y SIS * * * * * *
CAS E
o
5
10
15
20
25
Label
Num
+----
---+---------+----
---+---- ----+--- -----+
9
276
259
327
135
235
31
26
242
369
39
":~
98
125
251
344
I
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,i
I
--.J
I
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I
-i
185
54~'3
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136
i
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I
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l
II
284
I
83
342
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143
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275
286
373
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99
374
100
183
40
63
359
256
72
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CAS E
Label
Hum
o
5
Ie.;;' L
10
l
'
:
I
I
I
CLUSTER
15
+---------+---------+---------+-
A N A L Y .3 I S * *' * *" * *
20
25
-----+
I
291
I
I
269
216
224
312
341
123
~
I
!
I
h
I I
I [
1(1
178
366
13
218
228
229
104
14
I
II
Lampiran B-1
Uji normalitas faktor ketidakpuasan.
Normal Probability Plot
2
3
4
5
krgjnfo
Kolmogorov.smimov Normality Test
D+: 0,018 D-: 0,025 D: 0,025
Approximate P-Value > 0:,5
Normal Probability Plot
,99
J
I
,95
-I
,999
,80
,50
,20
~
J
1
.05
l
,01
-1
,001
~
t
2
Average: 2,38542
StDev. 1,06987
N:96
4
5
Kolmogorov.smimov Normality Test
D+: 0,057 D-: 0,044 D: 0,057
Approximate P-Value > 0.15
Normal Probability Plot
,999
I
~
,99 -j
,95 ~
:0
,80
I
j
21
,50
I
0...
,20
J
,05
I
e
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j
i
j
,001
II
I
I
I
t
4
2
Average: 2,94792
StOev 1,07967
5
Kolmogorov-Smimov Normality Test
D+: 0,038 D-: 0,034 D: 0,038
Approximate P-Value > 0.15
N: 96
Normal Probability Plot
I
I
,999 -1
II
,99 l
,95
I
l
>: 0.15
Normal Probability Plot
,999
J:
,991
,95
-j
:0
rn
J,
:
,so i
2
,20
J
,os
j,
,01
1
,80
.0
0..
,001
I
;~-
2
3
4
5
gedung-' 0.15
Normal Probability Plot
i
,999 -!
,99
:a
>-
,95
J
I
C\J
.0
,50
,20
l
'-
CL
,05
,01
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I
~
~
~
I
,80
0
~
~
~
i
-'
I
L
i
---,---J
3
2
4
5
mahasiswa
Kolmogorov-Smimov Normality Test
Average: 2,66667
StDev 0,980512
0+: 0,033 D-: 0,028 0.0,033
Approximate P-Value > 0.15
N:96
Normal Probability Plot
,999
-
>-
:.0
C\J
..0
e
CL
j
,99
J,
,95
JI
I
,80 -,II
I
,so
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,20
-l
I
I
I
,05 -i
I,
,01 -,
,001
I
l ,,
2
3
4
5
proSe~kg
Average: 2,73958
SIDev 1,11681
N: 93
Kolmogorov-Smimov Normality Test
D+: 0,054 0-: 0,041 D: 0,054
Approximate P-Value > 0.15
Normal Probability Plot
!
,999 ~
I
,99 -i
,95
J
>.
f: I~J:
£l.
,20
,os
,01
,001
~
l
2
Average: 2.78125
SIDev. 1,03825
4
5
Kolmogorov-Smimov Normality Test
0+: 0,042 0-: 0,036 0: 0,042
Approximate P-Value > 0.15
N:96
Normal Probability Plot
I
,999
,99
,95
.~
>.
:0
C1l
.D
0
L-
a..
J
I
~
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!
I
j
,80
I
I
,so -1
I
,20
~
,05
:
,01
,001
i
I
l
I
I
1
Average: 2,45833
StOev.1,14171
N:96
2
4
5
Kolmogorov-Smimov Normality Test
0+: 0,002 0-: 0,047 0: 0,062
Approximate P-Value > 0.15
Normal Probability Plot
,999
,
,99
-j
i
I
,95
.....>..
,80
1
~
,
I
:.0
,so -i,
2
I
,20 1
,
,05 1
III
.0
0...
~
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~
---
I
,01
-;
I
,001
II
!
4
2
Average: 2,60417
StDe...: 1,01025
5
Kolmogorov-Smimov Normality Test
D~:
0,048 D-: 0,041 D: 0,048
ApprOXimate P-Value > 0.15
N: 96
Normal Probability Plot
,999
,99
.....>..
:0
III
.0
2
0...
r--
~
1
,95 l
,
,80 , !
i
,50
1
,20
l
,05
1
I
I
,01 -.i
,001
~
2
3
4
5
pertukrJ>eI
Average: 2,89583
StDe...: 1,18303
N: 96
Kolmogorov-Smimov Normality Test
D+: 0,048 0-: 0,040 D: 0,048
Approximate P-Value > 0 15
Normal Probabiiity Plot
,999
,99
,95
i
1
~I
I
l!
-
,80 --I
ro
,50
e
a..
,20
>-
:0
.0
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,001
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~-
----'-
-!l-------
---..
i
1
----~
I
1
I
-j
!
1
2
3
4
5
akses
Kolmogorov-Smimov Normality Test
D+: 0,046 0-: 0,040 0: 0,046
Approximate P-Value > 0.15
Average: 2,85417
StDev: 1,09524
N:96
Normal Probability Plot
i
!
,999 -<
!
>-
:0
,99 ~
,95
,80
1
-1I
ro
,50 -1I
0
,20 1I
.0
"-
a..
i
,05 -I
I
,01
-1
,001 j I
I
\
1
2
3
4
5
ekstra
Average: 2,88542
- StDev: 1,17760
N:96
Kolmogorov-Smimov Normality Test
0+: 0,045 0-: 0,042 0,0,045
Approximate P-Value > 0.15
Normal Probability Plot
.c-
-.0
20
'Q
iI
,999
"I,
,99
I
,95 ,l
/~
1
~,
,80
~
,
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~-
~
1
,05
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,01
~
,001
-- -.
~
I
!
2
3
4
5
keg_mahasisw
A'lHI-tge: 2.875
~;tI ' .. v 1,08821
N 1)(\
Kolroogorov-Smimov NormalITy Test
D+: 0,032 0-: 0,032 D: 0,032
Approximate P-Value > 0.15
Normal Probability Plot
,999
,99
-
>-.
.0
E
e
Q
,95
,80
,50
,20
,05
,01
,001
1
A\ .. ,~:
2,54167
Sti. "'v 1,01480
N,l(\
2
4
5
Kol:ncgorov-Smimov Normalft'f Test
D+: 0,037 0-' 0,029 D: 0,037
Approximate P-Value > 0.15
Normal Probability Plot
,999
J
\
,99 -:
,
,95 ,
~
co
,so
-,
e
,20 -
:0
.0
a.
.--
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,80
,05 -i
,01
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,001 ,
~.-
______~ ________~ ________-.~
2
A\:erage: 2,94792
SIDev. 1,07967
N: 96
__________~J
4
5
Kolrncgorov--Smimcv Normality Test
0+: 0,038 0-: 0,034 0: 0,038
Approximate P-Value > 0.15
Lampiran B-2
Uji normaiitas faktor pertimbangan
Normal Probability Plot
I
I
,999
,99
i
-j
,
~
j
,95
>.
:!::
:0
,80
co
,50
~
0
.....
,20
-j
,05
1I
.0
a..
-----
I
I
,01
,001
~
I
2
3
5
4
info baik
Average: 2,8125
StDev: 1,02918
N:96
Kolmogorov-Smimov Normality Test
D+: 0,034 0-: 0,025 D: 0,034
Approximate P-Value > 0.15
Normal Probability Plot
r
I
,999 -I
>.
:!::
:0
co
.0
0
'a..
I
,99
-I
,95
J
,so
~,
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I
l
~.
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I
,20 -I,
,05
,01
,001
~~
.~
2
~
~-
~
3
~
.
4
5
reputasi
Average: 3,83333
SIDev: 0,980512
N:96
Kolmogorov-Smimov Normality T esl
D+: 0,031 0-: 0,041 D: 0,041
Approximate P-Value > 0.15
Normal Probability Plot
,999
,99
\
J
,95
>,
~
:0
co
..a
0
....
0..
,80
,so
,20
~
~
~
l
l
,os 1
,01
~
~
/~
1
I
,001 "1
!
3
2
4
5
penghargaan
Average: 3,25
stOev: 1,07606
N: 96
Kolmogorov-Smimov Normality Test
D+: 0,028 D-: 0,033 D: 0,033
Approximate P-Value > 0.15
Normal Probability Plot
lI
i
,999
1
,95 ~
,99 J
.~
>,
15
co
..a
0
....
0..
,80
J
,50
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I
I
,20 1
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,01
,001
,~
----------
--.----
-.~'
1
1
2
3
4
5
dosen
Average: 3,83333
StOev: 1,01221
N: 96
Kolmogorov-Smimov Normality Test
0+: 0,034 0-: 0,045 0: 0,045
Approximate P-Value" 0.15
Normal Probability Plot
I
,999
l
,99 -II
,95
>:!::
:.cco
n
e
a..
,80
,50
,20
I
,
~
i
I
l
I
,os l
!
,01 J
I
,001
~-
-1
.
~
~
--
- -'
-.~
--
~
2
4
Average: 3,98958
StDev. 1,04120
N: 96
5
Normality lest
D+: 0,037 D-: 0,051 D: 0,051
Approximate P-Value > 0.15
KolmgrY~iv
Normal Probability Plot
,999
,99
I-1
,
,95 -1
>-
:!::
:.cco
n
e
a..
I
,80
-- ----
l
,
,50
,20
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,01
-1
I
i
-1
Ji
.-
l
,001 -I
I
I
1
2
4
3
5
lokasi
Average: 3,58333
StDev. 0,958800
N:96
Kolmgrv~i
Normality Test
D+: 0,036 D-: 0,034 D: 0,036
Approximate P-Value > 0.15
Normal Probability Plot
J
,999
I
j
,99
,95
Z.
:0
(I)
.0
e
Q...
I
~
,80
,so
,20
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~
I
,05 i
,01
1
,001 i
___.-____~ ___~ ___----,---,
L-,~
5
Average: 2,95833
StDev: 1,01480
N: 96
Kolmogorov-Smimov Normality Test
D+: 0,025 0-: 0,025 D: 0,025
Approximate P-Value > 0.15
Normal Probability Plot
,999
,99
,95
,80
15
(I)
.0
e
Q...
JJ
.
~
,50 i
I
l
,os
i
,20
.J
1
,01
-1
,001 j ,
i
2
3
4
5
fasilitas
Average: 3,90625
StDev: 0,952317
N.96
Kolmogorov-Smimov Normality Test
D+: 0,038 0-: 0,041 D: 0,041
Approx'lmate P-Value > 0.15
Normal Probability Plot
,999
,99
.....>.
:0
(1l
.0
0
L-
a..
Ji
l
,95 ~
,80
,50
,20
,05
,01
,001
I
-~_/
J
~
..-- -~
.-~
-~
1
~,
I
l
/-~
----
li
2
4
3
5
mahasiswa
Kolmgrv~i
Average- 3,3125
SIDev. 1,03936
Normality Test
0+: 0,022 0-: 0,027 0 - 0,027
Approximate P-Value > O. i 5
N: 96
Normal Probability Plot
!
,999
J
I
,99 ~
I
,95 -I
.....>.
:0
(1l
.0
0
L-
a..
,80
,50
,20
,05
,01
,001
J,
I
..
I
I
I
-"
~
J
- --
.
/
. -
I
..J
I
2
4
3
5
berprospek
Average: 3,9375
SIDev. 1,01372
N: 96
Kolmgrv~i
Normality Test
0+: 0,029 0-: 0,051 0: 0,051
Approximate P-Value > 0.15
Normal Probability Plot
I
,999
-I
,99
-I
I
J
~
>.
:0
ro
..a
e
a...
,95 -i
i
,i
,80
,50
l,
l
1
,05
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I
,01
~-
I
,20
------- -"
.~
J
1
,001
i
-1
'I
2
5
4
Average: 3,95833
StDev. 1,03534
N:96
Kolmogorov-Smimov Normality Test
D+: 0,041 D-: 0,053 D: 0,053
Approximate P-Value > 0 15
Normal Probability Plot
,999
,;
I
,99 1
-
>.
:0
ro
..a
e
a...
,95 ~
,80
,50
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I
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1
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,01
~
~
--.~
---
~
II
,001 -1
!
I
2
Average: 3,48958
SIDev. 1,08574
N:96
4
5
Kolmogorov-Smimov Nonnality Test
D... : 0,033 D-: 0,038 D. 0,038
Approximate P-Value > 0.15
Normal Probability Plot
~
,999
~,
,99
I
,95
>.
:::
:.0
co
,so
0
L-
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a.
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~
,05
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,001
...-------
I
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I
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2
3
4
5
Ijtn studi
Kolmogorov-Smimov Normaiity Test
D+: 0,030 D-: 0,038 D· 0,038
Approximate P-Value > 0.15
Average: 3,61458
StDev. 1,06987
N: 96
Normal Probability Plot
I
,99
j
,95
j
,999
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:.0
,80
co
,50
e
a.
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.0
,05
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,001
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--------.--------
~
~
~-
~
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..
--
.
.
1I
2
3
4
5
pertkmJ)ela
Average: 2,91667
StDev. 1,12078
N: 96
Kolmogorov-Smimov Normality Test
D+: 0,028 D-: 0,036 D: 0,036
Approximate P-Value > 0.15
Normal Probability Plot
I
,999 -.j
,99
,95
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,80
:0
co
,so
e
0-
,20
.0
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~
i
----
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J
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,05
,01
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....
1
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~ ..............
1
1
2
3
4
5
aksesjnd
Average: 3,59375
Kolmogorov-Smimov Normality Test
0+: 0,028 0-: 0,035 0·0,035
Approximate P-Value > 0.15
SIDev: 1,07192
N:96
Norma! Probability Plot
~.
!
,999
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,95
>-
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co
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,001 -I,
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Average: 2,78125
SIDev: 1,09740
N:96
2
4
5
Kolmogorov-Smimov Normality Test
0+: 0,027 0-: 0,023 0: 0,027
Approximate P-Value > 0.15
Normal Probability Plot
I~-'.
,999
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,99
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ro
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2
3
4
5
kemahasiswa
Kolmogorov-Smimov Normality Test
0*: 0,030 0-: 0,027 D: 0,030
ApproxJmate P-Value > 0.15
Average: 2,85417
StOev 1,10481
N:96
Normal Probability Plot
,999
,99
,95
>.
+J
:.a
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.0
0
....
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Average: 3,63542
StDev: 1,14358
N:96
4
5
Kolmogorov-Smimov Normality Test
D*: 0,033 0-: 0,052 D: 0,052
Approximate P-Value > 0.15
Normal Probability Plot
'I
I
,999
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1
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3
4
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Average: 3,46875
StOev: 1,14205
N.96
Kclmogorov-Smimov Norma!lt'; Test
0+: 0,034 0-: 0,040 0: 0,040
Approximate P-Value > 0,15
Lampiran C - 2
Stepwise Regression: masa_dpn versus kltJ)end; akCsts; ...
Alpha-to-Enter: 0,15
Alpha-to-Remove: 0,15
Response is masa_dpn on
Step
No constant
acss cos
T-Value
P-Value
1
2
0,19
1,93
0,057
1,94
0,055
akt sts
T-Value
P-Value
C-p
96
0,19
0,16
1,60
0,113
0,981
0,2
S
6 predictors, with N
0,973
-0,3
Stepwise Regression: aktv_acss versus kit_pend; akCsts; ...
Alpha-to-Enter: 0,15
Alpha-to-Remove: 0,15
Response is aktv acs on
step
No constant
klt _pend
T-Value
P-Value
6 predictors, with N
96
1
0,283
2,87
0,005
0,959
-0,4
S
C-p
Stepwise Regression: gengsUnf versus kit_pend; akCsts; ...
Alpha-to-Enter: 0,15
Alpha-to-Remove: 0,15
Response is gengsi_i on
6 predictors, with N
96
No variables entered or removed
Stepwise Regression: rpts_kltds versus kit_pend; akCsts; ...
Alpha-to-Enter: 0,15
Alpha-Lo-Remove: 0,15
Response is rpts_klt on
Step
1
6 predictors, with N
96
0,24
2,43
0,017
Stepwise Regression: acss.Janji versus kit_pend; akt_sts; ...
.'-~"_toEner:
0,15
?s~e
Alpha-to-Remove: 0,15
is acss jan on
6 predictors, with N
Seep
1
2
acss cos
0,295
0,295
3,04
0,003
96
Nc CG~stan
T-".,lalue
3,01
P-Value
0,003
inf rwd
-0,152
-1,57
0,120
T-'Ialue
P-Value
s
C-p
0,955
-0,5
0,948
-0,9
Stepwise Regression: biaya versus klCpend; akCsts; ...
Alpha-to-Enter: 0,15
Response is
Step
No constant
acss cos
T-Value
P-Value
biaya
on
6 predictors, with N
1
2
0,230
0,230
2,32
0,022
2" ..30
0,024
basic
T-Value
P-Value
S
C-p
Alpha-to-Remove: 0,15
0,165
1,66
0,099
0,973
0,7
0,964
-0,0
96
R-Sq (adj)
C-p
4,27
1,6
6,01
1,0
Stepwise Regression: masa_dpn versus gam bar; kata; ...
A1pha-to-Enter: 0,15
Alpha-to-Remove: 0,15
Response is masa_dpn on
Seep
Constant
memimpin
T-Value
P-Value
-1,1603
0,231
2,59
0,01l
0,189
2,09
0,040
0,174
1,94
0,056
P-Value
S
96
2
1
-0,7658
ekperirne
T-Value
R-Sq
R-Sq (adj)
C-p
8 predictors, with N
0,971
0,957
6,67
5,68
2,2
10,29
8,36
0,6
Stepwise Regression: aktv_acss versus gambar; kata; ...
Alpha-to-Enter: 0,15
Alpha-to-Remove: 0,15
Response is aktv acs on
Step
1
Constant
-0,5463
~kperim
8 predictors, with N
96
0,178
T-Value
P-Value
S
R-Sq
R-Sq(adj)
C-p
1,98
0,050
0,985
4,01
2,99
1,8
Stepwise Regression: gengsUnf versus gambar; kata; ...
Alpha-to-Enter: 0,15
Alpha-to-Remove: 0,15
ResP9nse is gengsi i on
Si...efJ
1
Constant
-0,5890
ekperime
0,192
8 predictors, with N
96
T-Value
P-Value
2,14
0,035
S
0,982
4,66
3,65
-2,9
R-Sq
R-Sq(adj)
C-p
Stepwise Regiession: ipts_kltds versus gambar; kata; ...
Alpha-to-Enter: O,15
Alpha-to-Remove: 0,15
Response is rpts kIt on
Step
1
Constant
-0,5234
g-3.ITLb2l.r
T-Value
P-Value
S
R-Sq
R-Sq (adj 1
C-p
8 predictors, with N
96
0,1 77
2,43
0,017
0,975
5,93
4,92
-0,6
Stepwise Regression: acss.Janji versus gambar; kata; ...
Alpha-to-Enter: 0,15
Alpha-to-Rernove: 0,15
Response is acss jan on
8 predictors I with N
-
SLep
1
2
Constant
0,5852
1,0811
0,952l
0,6565
rnemimpin
T-Value
P-Value
-0,177
-1,95
0,054
-0,178
-2,00
0,048
-0,222
-2,45
0,016
-0,271
-2,84
0,006
-0,156
-1,92
0,058
-0,217
-2,54
0,013
-0,233
-2,73
0,008
0,157
2 1 01
0,175
2,22
0,029
mynyanyi
T-Value
P-Value
____
....
r
15.
16.
17.
18.
19.
20.
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lingkungsn kempus yang
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asri
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V2. PANOANGAN
V2'()1 Mana yang sesuBi dangan pendapal Anda
lentang BERKULIAH (bolah labih dan 1)?
Kuliah hBlus dilempuh agar dapal bak~
dangan baik
o Kuliah memang hBlUs dilakukan. tetapi bakerja
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Sebagal tuntutan unluk mambahaglakan orang
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3 Valid
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3 I idak valid
2 Tidak valid
2 Valid
3 Valid
4 Valid
3 Valid
4 Valid
3 Valid
4 Valid
4 Valid
3 Valid
3 Valid
4 Valid
4 Valid
5 Valid
3 Tidak valid
4 Valid
5 Valid
5 Tidak valid
4 Valid
2 Valid
4 Valid
4 Valid
5 Valid
3 Valid
3 Valid
4 Valid
2 Valid
3 Valid
3 Valid
2 Valid
3 Valid
3 Valid
5 Valid
4 Valid
3 Valid
3 Va!id
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4 Valid
268
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272
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274
275
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5
5
4
5
5
5
4
5
5
5
2
5
3
2
4
4
3
5
3
3
5
3
4
4
2
4
3
5
5
4
3
4
5
4
2
5
4
3
5
2
4
5
0,
3
3
5
3
4
3
5
5
5
5
3
5
,
5
3
3
3
2
3
3
4
4
3
2
4
2
51
3
3
4
3
4
4
2
3
4
5
5
5
3
2
2
3
3
2
3
3
2
2
1
3
3
2
3
4
5
4
4
5
3
3
4
2
3
5
5
5
3
5
4
3
. .
3
3
4
3
4
5
5
5
4
3
2
3
3
5
3
2
4
2
3
3
3
2
2
3
4
3
5
5
5
3
5
2
2
5
1
2
3
2
3
3
2
3
2
3
5
3
3
5
3
3
3
2
3
2
3
4
1
3
2
3
5
3
2
3
2
2
4
3
5
5
5
4
5
,
2
3
3
3
5
3
4
4
2
3
3
3
4
4
2
4
3
2
3
4 Valid
2 Valid
4 Valid
3 Valid
3 Valid
4 Valid
3 Valid
_ 4 Valid
4 Valid
5 Valid
4 Valid
Tidak valid
5 Valid
5 Tidak valid
3 Valid
5 Valid
3 Valid
3 Valid
3
3
4
4
5
3
,
,
3
3
5
4
2
3
4
5
4
4
4
4
3
3
3
3
2
5
3
4
4
5
5
5
4
3
4
1
2
3
3
1
4
3
4
5
3
4
Valid
Valid
Valid
Valid
Valid
Valid
Valid
Tidak valid
3 Valid
3 Valid
3 Valid
3 Valid
2 Valid
3 Valid
5 Valid
5 Valid
3 Valid
5 Valid
3 Valid
4 Valid
5 Valid
4 Valid
4 Valid
2 Valid
3 Valid
3 Tidak valid
4 Valid
2 Valid
3 Valid
2 Valid
3 Valid
2 Valid
4 Valid
5 Valid
3 Valid
3 Valid
322
323
2
5
3
5
324
325
326
327
328
3
3
3
3
4
4
329
330
331
332
333
334
335
3
3
3
2
3
4
3
336
3
3
337
338
3
4
339
3
4
2
2
3
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
3
3
4
2
3
5
1
3
3
3
3
1
3
1
2
2
1
361 ?
362 3
363 3
364 3
365 3
366
3
367
368
3
1
369
3
370
371
372
373
374
3
3
2
3
375
3
2
5
4
4
4
5
5
5
3
3
3
3
3
5
4
5
5
4
5
4
4
5
4
3
5
5
4
3
2
4
3
4
3
5
5
3
5
5
5
4
4
3
4
3
5
3
3
1
4
5
5
2
5
3
3
3
5
2
2
3
4
4
3
4
5
3
3
3
."
4
3
5
5
4
3
5
4
2
3
3
2
3
4
3
3
3
3
3
3
3
3
3
3
3
3
3
4
5
5
4
3
4
3
3
5
5
4
5
4
2
2
2
3
5
3
5
4
2
2
5
5
2
4
3
4
3
4
5
4
3
3
5
4
3
4
4
4
3
2
3
3
5
3
3
3
3
5
3
5
4
4
2
4
3
5
3
5
4
5
3
4
5
4
3
2
3
5
1
3
2
2
5
1
3
3
2
4
1
3
3
4
5
4
4
5
2
4
4
2
5
3
5
5
4
5
3
5
4
5
3
5
5
5
3
4
4
5
2
3
3
3
3
3
3
3
4
3
5
4
4
1
3
3
3
4
2
5
5
4
3
4
1
3
5
4
3
4
1
5
5
5
5
3
4
1
4
4
1
3
3
5
5
5
5
5
5
3
3
5
5
4
3
4
3
3
5
5
,
I
5
2
3
3
3
2
3
1
2
2
5
3
3
2
3
4
1
3
3
4
4
3
2
3
2'
1
3
2
2
2
2
31
4
3
3
2
3
5
1
1
2
2
3
3
3
5
3
2
3
3
3
3
2
3
4
3
4
4
4
4
5
2
5
3
4
2
3
4
3
2
3
5
4
3
4
3
3
3
5
5
5
5
4
4
4
4
4
4
3
3
2
5
4
3
5
3
3
3
3
3
3
3
4
5
4
4
5
3
4
4
5
4
3
3
2
3
4
4
4
4
2
3
3
2
4
5
2
2
3
4
5'
3
3
5
3
5
2
2
2
3
4
3
3
5
3
3
3
3
2
3
4
3
5
4
5
4
3
3
3
3
3
5
4
5
4
4
3
3
3
3
4
4
3
2
5
4
4
3
4
4
4
4
3
4
5
4
4
4
5
3
3
4
3
2
1
3
5
1
3
3
4
2
3
1
3
3
3
4
5
5
3
3
4
3
4
5
5
3
1
3
5
3
2
3
3
3
3
3
5
5
5
4
3
5
3
4
3
4
5
4
4
4
2
4
4
4
3
3
4
5
4
3
5
4
5
3
4
3
5
3
5
5
4
3
5
5
3
5
4
3
5
4
3
5
4
4
3
4
5
5
3
4
2
2
"t
5
4
4
4
3
5
4
4
4
4
2
.
4
2
4
5
4
3
4
5
4
5
4
4
4
5
3
3
2
2
4
3
5
3
4
2
4
3
4
3 Tidak valid
4 Valid
2
4
3
4
3
2
3
2
3
4
2
3
3
3
3
3
4
5
2 Valid
4 Valid
4 Valid
4
3
3 Valid
2 Valid
3
1
2
2
3
2
3
4
3
1
2
2
5
3
4
1
3
3
3
3
3
3
3
3
3
2
2
2
1
3
3
3
3
3
3
3
1
3
2
3
5
5
3
3
3
3
3
3
5
3
4
1
3
1
4
4
3
1
4
4
3
3
4
4
2
5
2
3
3
2
3
3
4
3
3
4
5
3
3
4
3
3
2
4
5
3
4
5
3
3
3
3
3
1
4
3
2
4
3
3
2
1
2
3
2
3
5
4
4
4
5
5
3
4
1
4
2
4
2
3
4
3
3
4
2
2
3
4
4
5
3
3
4
5
3
2
3
4
5
2
2
2
3
3
2
3
3
5
5
3
3
4
5
4
3
4
3
3
2
2
3
2
5
5
2
5
4
5
5
3
3
2
3
3
3
3
2
3
3
4
2
3
3
5
3
3
3
4
4
2
3
4
3
3
3
3
3
2
2
1
1
4
5
3
2
3
3
3
2
3
1
2
3
3 Valid
4 Valid
3
3 Valid
5 Valid
3 Tidak valid
4
3
4
3
5
3
3
2
3
2
2
3
2
2
3 Tidak valid
3 Tidak valid
3
5
4
5
2
3 Valid
1 Valid
4 Valid
3 Tidak valid
3
3
4
1
-
4
3
2
1
1
1
2
2
4
2
3
3
2
3
3
5
3
3
1
2
4 Valid
3 Valid
4 Valid
4 Valid
3 Valid
3 Valid
2 Tidak valid
4 Valid
3 Valid
5
3
3
2
Valid
Valid
Valid
Valid
2
3
4
3
Valid
Tidak valid
Valid
Valid
3
2
2
5
Tioak valid
Valid
Tidak valid
Valid
Valid
Valid
Valid
Valid
Tidak valid
Valid
3
5
2
2
2
3
3
3
2
3
4
2
2
2
2
3
3
2
5
5
2
3
4
2
3
5
2
2
5
5
5
4 Valid
5 Valid
3
4
2
4
4
4
4
3
5
2
5
2
4
3
3
5
1
3
4
3
5
3
3
3
3
4
4
2
3
Valid
Valid
Valid
Valid
Valid
Valid
Valid
Lampiran A - 2
* * * * * *
HIE R ARC HIe ALe L U S T E R A N A L Y SIS * *
Dendrogram using Average Linkage (Between Groups)
Rescaled Distance Cluster Combine
CAS E
Label Num
0
5
335
~
337
60
--l
~
199
~
334
182
191
77
177
61
314
239
282
299
75
I
=h, I
-j'
---1
~
153
181
5
297
362
24
149
351
124
151
38
161
152
190
15
23
4
198
19
320
332
364
322
lOB
120
I
T1
296
ll8
10
15
20
25
+---------+---------+---------+---------+---------+
WI
I
~=rl
III
=th
~I
~
* * * *
* * * * * * HIE R ARC HIe ALe L U S T E R A N A L Y SIS * * * * * *
CAS
Label
:s
o
Num
+---------+---------+---------+---------+---------+
180
5
~
336
3
114
197
165
175
234
81
20
78
~ I
---n
---" I
~I
255
262
357
303
325
~I
25
361
105
188
~I
I
.~
8
321
~I
68
328
329
170
370
169
47
345
266
2
138
=r:JII II
IHil
~Iil
=ni
~lh
365
227
~I
116
268
6
302
86
1
i
~I
158
248
I
II
~
II
308
331
h
-n~
~
II
10
15
20
25
* * * * * * HIE R ARC HIe A L e L U S T E R A N A L Y SIS * * * * * *
o
CAS E
Label
Num
5
10
15
25
20
+---------+---------+---------+---------+-- _______ +
230
348
16
76
300
18
356
317
324
57
10
154 """
201
64
237
330
103
28
42
94
101
122
247
352
179
162
353
1%
309
254
263
372
264
52
33
89
102
2 95
7
243
115
117
93
95
245
* * * *
*
~
HIE R ARC H rCA
L
C
L
U S T ERA
N
A
L
Y S r s
*
* * *
* *
o
CAS E
Label
Num
5
10
15
20
25
+---------+---------+---------+---------+---------+
91
92
205
207
204
232
249
294
130
236
212
225
211
202
203
208
209
217
222
213
215
210
2') 1
82
214
29
106
142
265
311
347
350
315
358
51
70
298
313
257
167
134
195
54
71
164
* * *
* *
* HIE R ARC HIe ALe L U S T E R A N A L Y SIS * * * * * *
o
CAS E
Label
Num
5
;.-
10
15
20
25
+---------+---------+---------+---------+---------+
41
109
310
306
119
133
55
277-
176
219
368
360
74
349
62
194
144
166
289
231
73
192
323
171
319
66
129
96
244
189
290
157
34.,
126
48
121
37
168
333
150
355
80
97
79
~
88
* *
* HIE R ARC HIe ALe L U S T E R A N A L Y SIS
+
* *
~
* *
o
CAS E
Label
Num
10
5
15
20
25
+---------+---------+---------+---------+---------+
-~
32
346
36
~l
46
304
146
253
----II
II
=r'h
' I
I
145
69
43
50
30
45
67
156
278
III
~1
305
~fl~I
22
112
226
11
287
53
-'~
281
49
338
65
250
87
283
27
I
___I
261
56
I
, I!
I
84
292
I
--'1--"
173
286
i I
II
II
---------r1
HI
I '
~~I
~f-,I
147
~!
I
241
371
307
220
_J I
i
238
* * * * * * HIE R ARC HIe ALe L U S T ERA N A L
CAS E
o
5
10
15
:0
~
SIS * *
25
~
* * *
Label
Num
+---------+---------+------7--+---------+---------+
172
357
240
206
260
128
223
139
159
375
I
90
340
lSI
\
58
I
I
\I
107
II
200
274
163
II
270
I
326
I I
I
Ih
I
59
271
I,
I
272
I
I
273
I, II
155
258
127
141
12
!
316
II
44
280
! I
II
184
339
110
363
I
I
I
I
I
131
17
233
267
113
186
148
193
318
* * * * * * HIE R ARC HIe A L e L U S T E R A N A L Y SIS * * * * * *
CAS E
o
5
10
15
20
25
Label
Num
+----
---+---------+----
---+---- ----+--- -----+
9
276
259
327
135
235
31
26
242
369
39
":~
98
125
251
344
I
--J
~'
,i
I
--.J
I
Jf '
I
-i
185
54~'3
2:: ~ I
I
136
i
I
I
\
l
II
284
I
83
342
J'
143
~: ~I
I
275
286
373
~
99
374
100
183
40
63
359
256
72
=:=J
3~
U
i
I '
!
:
*" ".. * * HIE R ARC H
CAS E
Label
Hum
o
5
Ie.;;' L
10
l
'
:
I
I
I
CLUSTER
15
+---------+---------+---------+-
A N A L Y .3 I S * *' * *" * *
20
25
-----+
I
291
I
I
269
216
224
312
341
123
~
I
!
I
h
I I
I [
1(1
178
366
13
218
228
229
104
14
I
II
Lampiran B-1
Uji normalitas faktor ketidakpuasan.
Normal Probability Plot
2
3
4
5
krgjnfo
Kolmogorov.smimov Normality Test
D+: 0,018 D-: 0,025 D: 0,025
Approximate P-Value > 0:,5
Normal Probability Plot
,99
J
I
,95
-I
,999
,80
,50
,20
~
J
1
.05
l
,01
-1
,001
~
t
2
Average: 2,38542
StDev. 1,06987
N:96
4
5
Kolmogorov.smimov Normality Test
D+: 0,057 D-: 0,044 D: 0,057
Approximate P-Value > 0.15
Normal Probability Plot
,999
I
~
,99 -j
,95 ~
:0
,80
I
j
21
,50
I
0...
,20
J
,05
I
e
,01
-~.
j
i
j
,001
II
I
I
I
t
4
2
Average: 2,94792
StOev 1,07967
5
Kolmogorov-Smimov Normality Test
D+: 0,038 D-: 0,034 D: 0,038
Approximate P-Value > 0.15
N: 96
Normal Probability Plot
I
I
,999 -1
II
,99 l
,95
I
l
>: 0.15
Normal Probability Plot
,999
J:
,991
,95
-j
:0
rn
J,
:
,so i
2
,20
J
,os
j,
,01
1
,80
.0
0..
,001
I
;~-
2
3
4
5
gedung-' 0.15
Normal Probability Plot
i
,999 -!
,99
:a
>-
,95
J
I
C\J
.0
,50
,20
l
'-
CL
,05
,01
,001
I
~
~
~
I
,80
0
~
~
~
i
-'
I
L
i
---,---J
3
2
4
5
mahasiswa
Kolmogorov-Smimov Normality Test
Average: 2,66667
StDev 0,980512
0+: 0,033 D-: 0,028 0.0,033
Approximate P-Value > 0.15
N:96
Normal Probability Plot
,999
-
>-
:.0
C\J
..0
e
CL
j
,99
J,
,95
JI
I
,80 -,II
I
,so
-I
,20
-l
I
I
I
,05 -i
I,
,01 -,
,001
I
l ,,
2
3
4
5
proSe~kg
Average: 2,73958
SIDev 1,11681
N: 93
Kolmogorov-Smimov Normality Test
D+: 0,054 0-: 0,041 D: 0,054
Approximate P-Value > 0.15
Normal Probability Plot
!
,999 ~
I
,99 -i
,95
J
>.
f: I~J:
£l.
,20
,os
,01
,001
~
l
2
Average: 2.78125
SIDev. 1,03825
4
5
Kolmogorov-Smimov Normality Test
0+: 0,042 0-: 0,036 0: 0,042
Approximate P-Value > 0.15
N:96
Normal Probability Plot
I
,999
,99
,95
.~
>.
:0
C1l
.D
0
L-
a..
J
I
~
Ii
!
I
j
,80
I
I
,so -1
I
,20
~
,05
:
,01
,001
i
I
l
I
I
1
Average: 2,45833
StOev.1,14171
N:96
2
4
5
Kolmogorov-Smimov Normality Test
0+: 0,002 0-: 0,047 0: 0,062
Approximate P-Value > 0.15
Normal Probability Plot
,999
,
,99
-j
i
I
,95
.....>..
,80
1
~
,
I
:.0
,so -i,
2
I
,20 1
,
,05 1
III
.0
0...
~
./---
-~
~
---
I
,01
-;
I
,001
II
!
4
2
Average: 2,60417
StDe...: 1,01025
5
Kolmogorov-Smimov Normality Test
D~:
0,048 D-: 0,041 D: 0,048
ApprOXimate P-Value > 0.15
N: 96
Normal Probability Plot
,999
,99
.....>..
:0
III
.0
2
0...
r--
~
1
,95 l
,
,80 , !
i
,50
1
,20
l
,05
1
I
I
,01 -.i
,001
~
2
3
4
5
pertukrJ>eI
Average: 2,89583
StDe...: 1,18303
N: 96
Kolmogorov-Smimov Normality Test
D+: 0,048 0-: 0,040 D: 0,048
Approximate P-Value > 0 15
Normal Probabiiity Plot
,999
,99
,95
i
1
~I
I
l!
-
,80 --I
ro
,50
e
a..
,20
>-
:0
.0
,os
,01
,001
~
~-
----'-
-!l-------
---..
i
1
----~
I
1
I
-j
!
1
2
3
4
5
akses
Kolmogorov-Smimov Normality Test
D+: 0,046 0-: 0,040 0: 0,046
Approximate P-Value > 0.15
Average: 2,85417
StDev: 1,09524
N:96
Normal Probability Plot
i
!
,999 -<
!
>-
:0
,99 ~
,95
,80
1
-1I
ro
,50 -1I
0
,20 1I
.0
"-
a..
i
,05 -I
I
,01
-1
,001 j I
I
\
1
2
3
4
5
ekstra
Average: 2,88542
- StDev: 1,17760
N:96
Kolmogorov-Smimov Normality Test
0+: 0,045 0-: 0,042 0,0,045
Approximate P-Value > 0.15
Normal Probability Plot
.c-
-.0
20
'Q
iI
,999
"I,
,99
I
,95 ,l
/~
1
~,
,80
~
,
I,
,50
]
,20
--~
,,
-~
~-
~
1
,05
-I
,01
~
,001
-- -.
~
I
!
2
3
4
5
keg_mahasisw
A'lHI-tge: 2.875
~;tI ' .. v 1,08821
N 1)(\
Kolroogorov-Smimov NormalITy Test
D+: 0,032 0-: 0,032 D: 0,032
Approximate P-Value > 0.15
Normal Probability Plot
,999
,99
-
>-.
.0
E
e
Q
,95
,80
,50
,20
,05
,01
,001
1
A\ .. ,~:
2,54167
Sti. "'v 1,01480
N,l(\
2
4
5
Kol:ncgorov-Smimov Normalft'f Test
D+: 0,037 0-' 0,029 D: 0,037
Approximate P-Value > 0.15
Normal Probability Plot
,999
J
\
,99 -:
,
,95 ,
~
co
,so
-,
e
,20 -
:0
.0
a.
.--
I
,80
,05 -i
,01
~
,001 ,
~.-
______~ ________~ ________-.~
2
A\:erage: 2,94792
SIDev. 1,07967
N: 96
__________~J
4
5
Kolrncgorov--Smimcv Normality Test
0+: 0,038 0-: 0,034 0: 0,038
Approximate P-Value > 0.15
Lampiran B-2
Uji normaiitas faktor pertimbangan
Normal Probability Plot
I
I
,999
,99
i
-j
,
~
j
,95
>.
:!::
:0
,80
co
,50
~
0
.....
,20
-j
,05
1I
.0
a..
-----
I
I
,01
,001
~
I
2
3
5
4
info baik
Average: 2,8125
StDev: 1,02918
N:96
Kolmogorov-Smimov Normality Test
D+: 0,034 0-: 0,025 D: 0,034
Approximate P-Value > 0.15
Normal Probability Plot
r
I
,999 -I
>.
:!::
:0
co
.0
0
'a..
I
,99
-I
,95
J
,so
~,
,50
I
I
l
~.
I
I
,20 -I,
,05
,01
,001
~~
.~
2
~
~-
~
3
~
.
4
5
reputasi
Average: 3,83333
SIDev: 0,980512
N:96
Kolmogorov-Smimov Normality T esl
D+: 0,031 0-: 0,041 D: 0,041
Approximate P-Value > 0.15
Normal Probability Plot
,999
,99
\
J
,95
>,
~
:0
co
..a
0
....
0..
,80
,so
,20
~
~
~
l
l
,os 1
,01
~
~
/~
1
I
,001 "1
!
3
2
4
5
penghargaan
Average: 3,25
stOev: 1,07606
N: 96
Kolmogorov-Smimov Normality Test
D+: 0,028 D-: 0,033 D: 0,033
Approximate P-Value > 0.15
Normal Probability Plot
lI
i
,999
1
,95 ~
,99 J
.~
>,
15
co
..a
0
....
0..
,80
J
,50
-1
I
I
,20 1
,os ~
,01
,001
,~
----------
--.----
-.~'
1
1
2
3
4
5
dosen
Average: 3,83333
StOev: 1,01221
N: 96
Kolmogorov-Smimov Normality Test
0+: 0,034 0-: 0,045 0: 0,045
Approximate P-Value" 0.15
Normal Probability Plot
I
,999
l
,99 -II
,95
>:!::
:.cco
n
e
a..
,80
,50
,20
I
,
~
i
I
l
I
,os l
!
,01 J
I
,001
~-
-1
.
~
~
--
- -'
-.~
--
~
2
4
Average: 3,98958
StDev. 1,04120
N: 96
5
Normality lest
D+: 0,037 D-: 0,051 D: 0,051
Approximate P-Value > 0.15
KolmgrY~iv
Normal Probability Plot
,999
,99
I-1
,
,95 -1
>-
:!::
:.cco
n
e
a..
I
,80
-- ----
l
,
,50
,20
,os
,01
-1
I
i
-1
Ji
.-
l
,001 -I
I
I
1
2
4
3
5
lokasi
Average: 3,58333
StDev. 0,958800
N:96
Kolmgrv~i
Normality Test
D+: 0,036 D-: 0,034 D: 0,036
Approximate P-Value > 0.15
Normal Probability Plot
J
,999
I
j
,99
,95
Z.
:0
(I)
.0
e
Q...
I
~
,80
,so
,20
~
~
I
,05 i
,01
1
,001 i
___.-____~ ___~ ___----,---,
L-,~
5
Average: 2,95833
StDev: 1,01480
N: 96
Kolmogorov-Smimov Normality Test
D+: 0,025 0-: 0,025 D: 0,025
Approximate P-Value > 0.15
Normal Probability Plot
,999
,99
,95
,80
15
(I)
.0
e
Q...
JJ
.
~
,50 i
I
l
,os
i
,20
.J
1
,01
-1
,001 j ,
i
2
3
4
5
fasilitas
Average: 3,90625
StDev: 0,952317
N.96
Kolmogorov-Smimov Normality Test
D+: 0,038 0-: 0,041 D: 0,041
Approx'lmate P-Value > 0.15
Normal Probability Plot
,999
,99
.....>.
:0
(1l
.0
0
L-
a..
Ji
l
,95 ~
,80
,50
,20
,05
,01
,001
I
-~_/
J
~
..-- -~
.-~
-~
1
~,
I
l
/-~
----
li
2
4
3
5
mahasiswa
Kolmgrv~i
Average- 3,3125
SIDev. 1,03936
Normality Test
0+: 0,022 0-: 0,027 0 - 0,027
Approximate P-Value > O. i 5
N: 96
Normal Probability Plot
!
,999
J
I
,99 ~
I
,95 -I
.....>.
:0
(1l
.0
0
L-
a..
,80
,50
,20
,05
,01
,001
J,
I
..
I
I
I
-"
~
J
- --
.
/
. -
I
..J
I
2
4
3
5
berprospek
Average: 3,9375
SIDev. 1,01372
N: 96
Kolmgrv~i
Normality Test
0+: 0,029 0-: 0,051 0: 0,051
Approximate P-Value > 0.15
Normal Probability Plot
I
,999
-I
,99
-I
I
J
~
>.
:0
ro
..a
e
a...
,95 -i
i
,i
,80
,50
l,
l
1
,05
-J
I
,01
~-
I
,20
------- -"
.~
J
1
,001
i
-1
'I
2
5
4
Average: 3,95833
StDev. 1,03534
N:96
Kolmogorov-Smimov Normality Test
D+: 0,041 D-: 0,053 D: 0,053
Approximate P-Value > 0 15
Normal Probability Plot
,999
,;
I
,99 1
-
>.
:0
ro
..a
e
a...
,95 ~
,80
,50
,20
,;,
I
,i
,
1
,05 -4
,01
~
~
--.~
---
~
II
,001 -1
!
I
2
Average: 3,48958
SIDev. 1,08574
N:96
4
5
Kolmogorov-Smimov Nonnality Test
D... : 0,033 D-: 0,038 D. 0,038
Approximate P-Value > 0.15
Normal Probability Plot
~
,999
~,
,99
I
,95
>.
:::
:.0
co
,so
0
L-
,20
.0
a.
j
,80
~
.~
~
,05
,01 ~
,001
...-------
I
~
J
I
I
2
3
4
5
Ijtn studi
Kolmogorov-Smimov Normaiity Test
D+: 0,030 D-: 0,038 D· 0,038
Approximate P-Value > 0.15
Average: 3,61458
StDev. 1,06987
N: 96
Normal Probability Plot
I
,99
j
,95
j
,999
.....>.
:.0
,80
co
,50
e
a.
,20
.0
,05
I
I
I
.j
I
l
1
,01
1
,001
.,
--------.--------
~
~
~-
~
~
..
--
.
.
1I
2
3
4
5
pertkmJ)ela
Average: 2,91667
StDev. 1,12078
N: 96
Kolmogorov-Smimov Normality Test
D+: 0,028 D-: 0,036 D: 0,036
Approximate P-Value > 0.15
Normal Probability Plot
I
,999 -.j
,99
,95
.....>-
,80
:0
co
,so
e
0-
,20
.0
1I,
~
i
----
JI
-~
J
I
,
,05
,01
,U01
....
1
--------
~ ..............
1
1
2
3
4
5
aksesjnd
Average: 3,59375
Kolmogorov-Smimov Normality Test
0+: 0,028 0-: 0,035 0·0,035
Approximate P-Value > 0.15
SIDev: 1,07192
N:96
Norma! Probability Plot
~.
!
,999
-I
,99
.J,
,,
,95
>-
;t::!
:0
,so 1I
co
,50
e
,20 -I,
.0
0-
-j
i
,os ~
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------,
I
,001 -I,
1
Average: 2,78125
SIDev: 1,09740
N:96
2
4
5
Kolmogorov-Smimov Normality Test
0+: 0,027 0-: 0,023 0: 0,027
Approximate P-Value > 0.15
Normal Probability Plot
I~-'.
,999
J
,99
I
,95
>.
:!:::
:.a
ro
.0
0
....
c...
I
1
,80 -'I
,50
,20
i
~
,05 -1
I
,01 ~
,001
J!
2
3
4
5
kemahasiswa
Kolmogorov-Smimov Normality Test
0*: 0,030 0-: 0,027 D: 0,030
ApproxJmate P-Value > 0.15
Average: 2,85417
StOev 1,10481
N:96
Normal Probability Plot
,999
,99
,95
>.
+J
:.a
C1l
.0
0
....
c...
J
I
1
-1
,80
J
,50
-1
I
I
i
,20
~
,05
j
I
I
I
,01 -l
I
,001
I
2
Average: 3,63542
StDev: 1,14358
N:96
4
5
Kolmogorov-Smimov Normality Test
D*: 0,033 0-: 0,052 D: 0,052
Approximate P-Value > 0.15
Normal Probability Plot
'I
I
,999
,99
1
-I
I
,95
~
>.
:.0
ttl
.0
e
a..
I
,80
i
,50 JI
,20
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~
,~
I
l1 .
I
-
I
~
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~
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~
.---
,
~
\
I
I
I
"
I1
1
I
,001 -'
!
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--.--'
2
3
4
5
IinQ_asri
Average: 3,46875
StOev: 1,14205
N.96
Kclmogorov-Smimov Norma!lt'; Test
0+: 0,034 0-: 0,040 0: 0,040
Approximate P-Value > 0,15
Lampiran C - 2
Stepwise Regression: masa_dpn versus kltJ)end; akCsts; ...
Alpha-to-Enter: 0,15
Alpha-to-Remove: 0,15
Response is masa_dpn on
Step
No constant
acss cos
T-Value
P-Value
1
2
0,19
1,93
0,057
1,94
0,055
akt sts
T-Value
P-Value
C-p
96
0,19
0,16
1,60
0,113
0,981
0,2
S
6 predictors, with N
0,973
-0,3
Stepwise Regression: aktv_acss versus kit_pend; akCsts; ...
Alpha-to-Enter: 0,15
Alpha-to-Remove: 0,15
Response is aktv acs on
step
No constant
klt _pend
T-Value
P-Value
6 predictors, with N
96
1
0,283
2,87
0,005
0,959
-0,4
S
C-p
Stepwise Regression: gengsUnf versus kit_pend; akCsts; ...
Alpha-to-Enter: 0,15
Alpha-to-Remove: 0,15
Response is gengsi_i on
6 predictors, with N
96
No variables entered or removed
Stepwise Regression: rpts_kltds versus kit_pend; akCsts; ...
Alpha-to-Enter: 0,15
Alpha-Lo-Remove: 0,15
Response is rpts_klt on
Step
1
6 predictors, with N
96
0,24
2,43
0,017
Stepwise Regression: acss.Janji versus kit_pend; akt_sts; ...
.'-~"_toEner:
0,15
?s~e
Alpha-to-Remove: 0,15
is acss jan on
6 predictors, with N
Seep
1
2
acss cos
0,295
0,295
3,04
0,003
96
Nc CG~stan
T-".,lalue
3,01
P-Value
0,003
inf rwd
-0,152
-1,57
0,120
T-'Ialue
P-Value
s
C-p
0,955
-0,5
0,948
-0,9
Stepwise Regression: biaya versus klCpend; akCsts; ...
Alpha-to-Enter: 0,15
Response is
Step
No constant
acss cos
T-Value
P-Value
biaya
on
6 predictors, with N
1
2
0,230
0,230
2,32
0,022
2" ..30
0,024
basic
T-Value
P-Value
S
C-p
Alpha-to-Remove: 0,15
0,165
1,66
0,099
0,973
0,7
0,964
-0,0
96
R-Sq (adj)
C-p
4,27
1,6
6,01
1,0
Stepwise Regression: masa_dpn versus gam bar; kata; ...
A1pha-to-Enter: 0,15
Alpha-to-Remove: 0,15
Response is masa_dpn on
Seep
Constant
memimpin
T-Value
P-Value
-1,1603
0,231
2,59
0,01l
0,189
2,09
0,040
0,174
1,94
0,056
P-Value
S
96
2
1
-0,7658
ekperirne
T-Value
R-Sq
R-Sq (adj)
C-p
8 predictors, with N
0,971
0,957
6,67
5,68
2,2
10,29
8,36
0,6
Stepwise Regression: aktv_acss versus gambar; kata; ...
Alpha-to-Enter: 0,15
Alpha-to-Remove: 0,15
Response is aktv acs on
Step
1
Constant
-0,5463
~kperim
8 predictors, with N
96
0,178
T-Value
P-Value
S
R-Sq
R-Sq(adj)
C-p
1,98
0,050
0,985
4,01
2,99
1,8
Stepwise Regression: gengsUnf versus gambar; kata; ...
Alpha-to-Enter: 0,15
Alpha-to-Remove: 0,15
ResP9nse is gengsi i on
Si...efJ
1
Constant
-0,5890
ekperime
0,192
8 predictors, with N
96
T-Value
P-Value
2,14
0,035
S
0,982
4,66
3,65
-2,9
R-Sq
R-Sq(adj)
C-p
Stepwise Regiession: ipts_kltds versus gambar; kata; ...
Alpha-to-Enter: O,15
Alpha-to-Remove: 0,15
Response is rpts kIt on
Step
1
Constant
-0,5234
g-3.ITLb2l.r
T-Value
P-Value
S
R-Sq
R-Sq (adj 1
C-p
8 predictors, with N
96
0,1 77
2,43
0,017
0,975
5,93
4,92
-0,6
Stepwise Regression: acss.Janji versus gambar; kata; ...
Alpha-to-Enter: 0,15
Alpha-to-Rernove: 0,15
Response is acss jan on
8 predictors I with N
-
SLep
1
2
Constant
0,5852
1,0811
0,952l
0,6565
rnemimpin
T-Value
P-Value
-0,177
-1,95
0,054
-0,178
-2,00
0,048
-0,222
-2,45
0,016
-0,271
-2,84
0,006
-0,156
-1,92
0,058
-0,217
-2,54
0,013
-0,233
-2,73
0,008
0,157
2 1 01
0,175
2,22
0,029
mynyanyi
T-Value
P-Value
____
....
r