Pengaruh Kompensasi Terhadap Kinerja Karyawan Di PT. PLN (Persero) Area Padang Sidimpuan, Sumatera Utara

1

KUESIONER PENELITIAN

PENGARUH KOMPENSASI TERHADAP KINERJA KARYAWAN DI

PT.PLN (Persero) AREA PADANG SIDIMPUAN

I.

Petunjuk Pengisian

Pilihlah salah satu jawaban yang paling sesuai pendapat Bapak/Ibu dengan memberi

tanda checklict (

√

) pada kolom yang tersedia. Ada lima alternatif jawaban yang dapat

Bapak/Ibu pilih, yaitu ;

SS

= Sangat Sesuai

S

= Sesuai

KS

= Kurang Sesuai

TS

= Tidak Sesuai

STS

= Sangat Tidak Sesuai

II.

Identitas Responden

1.

Nama

:

2.

Jenis Kelamin

: (

) Laki-laki

(

) Perempuan

3.

Usia

: Tahun

4.

Pendidikan

:

5.

Jabatan

:

Daftar Pertanyaan Tentang Kompensasi

No

Pertanyaan

SS

S

KS TS STS

1

Gaji yang Bapak/Ibu terima dapat memenuhi

kebutuhan hidup sehari-hari

2

Gaji yang diberikan kepada Bapak/Ibu sesuai dengan

2

3

Gaji yang diberikan kepada Bapak/Ibu sesuai jabatan

yang dimiliki

4

Gaji yang Bapak/Ibu terima mempunyai jaminan yang

pasti

5

Insentif yang diberikan sesuai dengan jabatan

6

Insentif yang diberikan pada hari raya dapat memenuhi

kebutuhan di hari raya

7

Insentif yang diterima dapat meningkatkan motivasi

kerja

8

Insentif yang diterima adil dan sesuai dengan prestasi

kerja

9

Asuransi yang diberikan sesuai dengan jasa dan

pekerjaan yang dilaksanakan

10 Asuransi dana pensiun yang adil sesuai dengan jabatan

yang diberikan

11 Asuransi kesehatan yang terima sesuai untuk masa

depan

12 Asuransi yang diperoleh sesuai dengan resiko

pekerjaan

13 Fasilitas yang diberikan sesuai dengan kebutuhan

pekerjaan

14 Fasilitas yang diterima sesuai dengan prestasi kerja

15 Fasilitas yang diberikan dapat menambah motivasi

kerja

16 Fasilitas yang diberikan sesuai dengan jabatan yang

dimiliki

17 Tunjangan yang diterima sesuai dengan tanggung

jawab diberikan

18 Tunjangan struktural yang diterima sesuai dengan

jabatan

19 Tunjangan tugas yang diberikan sesuai dengan bidang

dimiliki

3

Daftar Pertanyaan Tentang Kinerja

No

Pertanyaan

SS

S

KS TS

STS

21 Bapak/Ibu miliki Skill yang sesuai dengan pekerjaan

yang dikerjakan

22 Bapak/Ibu dapat menyelesaikan pekerjaan dengan

teliti

23 Bapak/Ibu dapat mengemban tanggung jawab yang

diberikan

24 Bapak/Ibu mampu meminimalkan kasalahan kerja

25 Bapak/Ibu mampu mencapai volume kerja sesuai

dengan harapan perusahaan

26 Bapak/Ibu menyelesaikan pekerjaan sesuai dengan

prosedur

27 Bapak/Ibu dapat menyelesaikan pekerjaan dengan

tepat waktu sesuai instruksi

28 Bapak/Ibu kerjakan sesuai sasaran yang diberikan

29 Bapak/Ibu dapat mengeluarkan inovasi dalam

pekerjaan

30 Bapak/Ibu mampu menciptakan kreativitas dalam

menyelesaikan pekerjaan

31 Bapak/Ibu mempunyai inisiatif jika ada kendala

dalam pekerjaan

32 Bapak/Ibu memiliki kemampuan bekerja dalam tim

33 Bapak/Ibu memiliki komunikasi yang baik dengan

rekan kerja

34 Bapak/Ibu mempunyai hubungan baik dengan

lingkungan kerja

35 Bapak/Ibu saling membantu apabila menemukan

kendala dalam pekerjaan

LAMPIRAN

Frekuensi Interval Jawaban Kompensasi

BUTIR

1

2

3

4

5

JUMLAH

RATA

F

%

F

%

F

%

F

%

F

%

F

%

RATA

1

0

0

0

0

2

5

19

47,5

19

47,5

40

100

4,6

2

0

0

0

0

0

0

19

47,5

21

52,5

40

100

4,65

3

0

0

0

0

0

0

14

35

26

65

40

100

3,95

4

0

0

0

0

1

2,5

25

62,5

14

35

40

100

4,5

5

0

0

0

0

0

0

23

57,5

17

42,5

40

100

4,5

6

0

0

0

0

3

7,5

21

52,5

16

40

40

100

4,4

7

0

0

0

0

0

0

27

67,5

13

32,5

40

100

4,3

8

0

0

0

0

5

12,5

24

60

11

27,5

40

100

4,4

9

0

0

0

0

0

0

25

62,5

15

37,5

40

100

4,5

10

0

0

0

0

0

0

24

60

16

40

40

100

3,85

11

0

0

0

0

1

2,5

22

55

17

42,5

40

100

4,75

12

0

0

0

0

0

0

25

62,5

15

37,5

40

100

4,6

13

0

0

0

0

0

0

18

45

22

55

40

100

4,65

14

0

0

0

0

2

5

21

52,5

17

42,5

40

100

3,9

15

0

0

0

0

0

0

18

45

22

55

40

100

4

16

0

0

0

0

3

7,5

23

57,5

14

35

40

100

4,5

17

0

0

0

0

2

5

27

67,5

11

27,5

40

100

4,3

18

0

0

0

0

0

0

21

52,5

19

47,5

40

100

4,35

19

0

0

0

0

1

2,5

22

55

17

42,5

40

100

4,05

20

0

0

0

0

0

0

22

55

18

45

40

100

4,7

Frekuensi Interval Jawaban Kinerja

BUTIR

1

2

3

4

5

JUMLAH

RATA

F

%

F

%

F

%

F

%

F

%

F

%

RATA

1

0

0

0

0

0

0

14

35

26

65

40

100

3,9

2

0

0

0

0

1

2,5

25

62,5

14

35

40

100

4,5

3

0

0

0

0

0

0

23

57,5

17

42,5

40

100

4,45

4

0

0

0

0

3

7,5

21

52,5

16

40

40

100

4,35

5

0

0

0

0

0

0

27

67,5

13

32,5

40

100

4,55

6

0

0

0

0

5

13

24

60

11

27,5

40

100

4,1

7

0

0

0

0

0

0

25

62,5

15

37,5

40

100

4,9

8

0

0

0

0

0

0

24

60

16

40

40

100

4,05

9

0

0

0

0

1

2,5

22

55

17

42,5

40

100

4,9

10

0

0

0

0

0

0

25

62,5

15

37,5

40

100

4,2

11

0

0

0

0

0

0

18

45

22

55

40

100

4,6

12

0

0

0

0

2

5

21

52,5

17

42,5

40

100

4,35

13

0

0

0

0

0

0

18

45

22

55

40

100

4,45

14

0

0

0

0

3

7,5

23

57,5

14

35

40

100

4,4

15

0

0

0

0

2

5

27

67,5

11

27,5

40

100

4,55

1

LAMPIRAN

1)

Uji Validitas Variabel X

CORRELATIONS /VARIABLES=VAR1 VAR2 VAR3 VAR4 VAR5 VAR6 VAR7 VAR8 VAR9 VAR10 VAR11 VAR12 VAR13 VA R00014 VAR15 VAR16

VAR17 VAR18 VAR19 VAR20 VAR21 /PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE.

Correlations

Correlations

VAR1 VAR2 VAR3 VAR4 VAR5 VAR6 VAR7 VAR8 VAR9 VAR 10 VAR 11 VAR 12 VAR 13 VAR 14 VAR 15 VAR 16 VAR 17 VAR 18 VAR 19 VAR

20 VAR21

VAR1 Pearson Correlation 1 .262 .085 .039 .239 .314* .043 .170 .495** .191 .253 .231 .227 .193 .398* .095 .340* .505** .332* .287 .585**

Sig. (2-tailed) .102 .603 .811 .137 .049 .791 .295 .001 .237 .115 .152 .159 .232 .011 .558 .032 .001 .036 .073 .000

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR2 Pearson Correlation .262 1 .457** .113 .109 .097 .339* .314* .116 .266 .242 .323* .045 .184 .247 .358* .122 .203 .335* .357* .552**

Sig. (2-tailed) .102 .003 .486 .504 .552 .032 .049 .475 .098 .133 .042 .781 .256 .125 .023 .454 .209 .035 .024 .000

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR3 Pearson Correlation .085 .457** 1 .459** .207 .306 .397* .350* -.081 .278 .156 .352* .179 .023 .179 .253 .115 .068 .156 .137 .507**

Sig. (2-tailed) .603 .003 .003 .201 .055 .011 .027 .618 .082 .337 .026 .269 .890 .269 .116 .480 .676 .337 .399 .001

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR4 Pearson Correlation .039 .113 .459** 1 .241 .220 .388* .082 .012 .079 .072 .311 .276 .177 .082 .361* .007 .176 .250 .208 .456**

Sig. (2-tailed) .811 .486 .003 .134 .173 .013 .614 .939 .629 .661 .051 .085 .275 .614 .022 .966 .277 .119 .197 .003

2

VAR5 Pearson Correlation .239 .109 .207 .241 1 .206 .483** .119 .274 .124 .113 .274 .066 .142 -.036 .199 .307 .195 .207 -.066 .440**

Sig. (2-tailed) .137 .504 .201 .134 .202 .002 .463 .087 .446 .489 .087 .685 .382 .827 .218 .054 .228 .201 .685 .004

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR6 Pearson Correlation .314* .097 .306 .220 .206 1 .156 .204 .435** .403** .290 .011 .153 .009 .318* .099 .006 -.014 .367* .012 .477**

Sig. (2-tailed) .049 .552 .055 .173 .202 .337 .206 .005 .010 .069 .948 .346 .957 .045 .543 .971 .930 .020 .939 .002

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR7 Pearson Correlation .043 .339* .397* .388* .483** .156 1 .004 .124 .087 .079 .455** -.016 .196 .091 .309 .313* .195 .278 .338* .516**

Sig. (2-tailed) .791 .032 .011 .013 .002 .337 .979 .446 .593 .627 .003 .921 .225 .576 .052 .049 .228 .083 .033 .001

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR8 Pearson Correlation .170 .314* .350* .082 .119 .204 .004 1 .147 .299 .348* -.021 .303 .264 .139 .093 .206 .257 -.030 .106 .456**

Sig. (2-tailed) .295 .049 .027 .614 .463 .206 .979 .365 .061 .028 .898 .058 .100 .392 .568 .203 .110 .853 .514 .003

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR9 Pearson Correlation .495** .116 -.081 .012 .274 .435** .124 .147 1 .422** .479** .147 .285 .123 .182 .164 .259 .297 .384* .026 .539**

Sig. (2-tailed) .001 .475 .618 .939 .087 .005 .446 .365 .007 .002 .366 .074 .450 .262 .312 .107 .062 .015 .874 .000

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR1 0

Pearson Correlation .191 .266 .278 .079 .124 .403** .087 .299 .422** 1 .341* .316* .123 .000 .226 .224 .331* .245 .436** -.021 .543**

Sig. (2-tailed) .237 .098 .082 .629 .446 .010 .593 .061 .007 .031 .047 .449 1.000 .161 .164 .037 .127 .005 .900 .000

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR1 1

Pearson Correlation .253 .242 .156 .072 .113 .290 .079 .348* .479** .341* 1 .000 .112 .241 .579** .204 .035 .130 .483** .075 .539**

Sig. (2-tailed) .115 .133 .337 .661 .489 .069 .627 .028 .002 .031 1.000 .491 .134 .000 .206 .828 .423 .002 .647 .000

3

VAR1 2

Pearson Correlation .231 .323* .352* .311 .274 .011 .455** -.021 .147 .316* .000 1 .078 .123 .078 .339* .555** .194 .096 .234 .499**

Sig. (2-tailed) .152 .042 .026 .051 .087 .948 .003 .898 .366 .047 1.000 .633 .450 .633 .033 .000 .231 .556 .147 .001

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR1 3

Pearson Correlation .227 .045 .179 .276 .066 .153 -.016 .303 .285 .123 .112 .078 1 .239 .091 .166 .005 -.045 .019 .212 .359*

Sig. (2-tailed) .159 .781 .269 .085 .685 .346 .921 .058 .074 .449 .491 .633 .138 .577 .307 .977 .781 .909 .189 .023

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR1 4

Pearson Correlation .193 .184 .023 .177 .142 .009 .196 .264 .123 .000 .241 .123 .239 1 .065 .210 -.031 .422** .080 .369* .418**

Sig. (2-tailed) .232 .256 .890 .275 .382 .957 .225 .100 .450 1.000 .134 .450 .138 .689 .193 .850 .007 .622 .019 .007

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR1 5

Pearson Correlation .398* .247 .179 .082 -.036 .318* .091 .139 .182 .226 .579** .078 .091 .065 1 .166 .101 .257 .392* .515** .515**

Sig. (2-tailed) .011 .125 .269 .614 .827 .045 .576 .392 .262 .161 .000 .633 .577 .689 .307 .536 .110 .012 .001 .001

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR1 6

Pearson Correlation .095 .358* .253 .361* .199 .099 .309 .093 .164 .224 .204 .339* .166 .210 .166 1 .123 .066 .283 .174 .499**

Sig. (2-tailed) .558 .023 .116 .022 .218 .543 .052 .568 .312 .164 .206 .033 .307 .193 .307 .449 .687 .077 .282 .001

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR1 7

Pearson Correlation .340* .122 .115 .007 .307 .006 .313* .206 .259 .331* .035 .555** .005 -.031 .101 .123 1 .452** .124 .091 .443**

Sig. (2-tailed) .032 .454 .480 .966 .054 .971 .049 .203 .107 .037 .828 .000 .977 .850 .536 .449 .003 .446 .576 .004

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR1 8

Pearson Correlation .505** .203 .068 .176 .195 -.014 .195 .257 .297 .245 .130 .194 -.045 .422** .257 .066 .452** 1 .130 .347* .513**

Sig. (2-tailed) .001 .209 .676 .277 .228 .930 .228 .110 .062 .127 .423 .231 .781 .007 .110 .687 .003 .423 .028 .001

4

VAR1 9

Pearson Correlation .332* .335* .156 .250 .207 .367* .278 -.030 .384* .436** .483** .096 .019 .080 .392* .283 .124 .130 1 .168 .557**

Sig. (2-tailed) .036 .035 .337 .119 .201 .020 .083 .853 .015 .005 .002 .556 .909 .622 .012 .077 .446 .423 .300 .000

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR2 0

Pearson Correlation .287 .357* .137 .208 -.066 .012 .338* .106 .026 -.021 .075 .234 .212 .369* .515** .174 .091 .347* .168 1 .457**

Sig. (2-tailed) .073 .024 .399 .197 .685 .939 .033 .514 .874 .900 .647 .147 .189 .019 .001 .282 .576 .028 .300 .003

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR2 1

Pearson Correlation .585** .552** .507** .456** .440** .477** .516** .456** .539** .543** .539** .499** .359* .418** .515** .499** .443** .513** .557** .457** 1

Sig. (2-tailed) .000 .000 .001 .003 .004 .002 .001 .003 .000 .000 .000 .001 .023 .007 .001 .001 .004 .001 .000 .003

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

*. Correlation is significant at the 0.05 level (2-tailed).

5

2)

Uji Realibilitas Variabel X

RELIABILITY /VARIABLES=VAR1 VAR2 VAR3 VAR4 VAR5 VAR6 VAR7 VAR8 VAR9 VAR10 VAR11 VAR12 VAR13 VA R00014 VAR15 VAR16

VAR17 VAR18 VAR19 VAR20 /SCALE('ALL VARIABLES') ALL /MODEL=ALPHA.

Reliability

Scale: ALL VARIABLES

Case Processing Summary

N %

Cases Valid 40 100.0

Excludeda 0 .0

Total 40 100.0

a. Listwise deletion based on all variables in the procedure.

Reliability Statistics

Cronbach's

Alpha N of Items

6

3)

Uji Validitas Variabel Y

CORRELATIONS /VARIABLES=VAR1 VAR2 VAR3 VAR4 VAR5 VAR6 VAR7 VAR8 VAR9 VAR10 VAR11 VAR12 VAR13 VA R00014 VAR15 VAR16

/PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE.

Correlations

Correlations

VAR1 VAR2 VAR3 VAR4 VAR5 VAR6 VAR7 VAR8 VAR9 VAR10 VAR11 VAR12 VAR13 VAR14 VAR15 Total

VAR1 Pearson Correlation 1 .459** .207 .306 .397* .350* -.081 .278 .156 .352* .179 .023 .179 .253 .115 .552**

Sig. (2-tailed) .003 .201 .055 .011 .027 .618 .082 .337 .026 .269 .890 .269 .116 .480 .000

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR2 Pearson Correlation .459** 1 .241 .220 .388* .082 .012 .079 .072 .311 .276 .177 .082 .361* .007 .500**

Sig. (2-tailed) .003 .134 .173 .013 .614 .939 .629 .661 .051 .085 .275 .614 .022 .966 .001

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR3 Pearson Correlation .207 .241 1 .206 .483** .119 .274 .124 .113 .274 .066 .142 -.036 .199 .307 .488**

Sig. (2-tailed) .201 .134 .202 .002 .463 .087 .446 .489 .087 .685 .382 .827 .218 .054 .001

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR4 Pearson Correlation .306 .220 .206 1 .156 .204 .435** .403** .290 .011 .153 .009 .318* .099 .006 .522**

Sig. (2-tailed) .055 .173 .202 .337 .206 .005 .010 .069 .948 .346 .957 .045 .543 .971 .001

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

7

Sig. (2-tailed) .011 .013 .002 .337 .979 .446 .593 .627 .003 .921 .225 .576 .052 .049 .000

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR6 Pearson Correlation .350* .082 .119 .204 .004 1 .147 .299 .348* -.021 .303 .264 .139 .093 .206 .496**

Sig. (2-tailed) .027 .614 .463 .206 .979 .365 .061 .028 .898 .058 .100 .392 .568 .203 .001

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR7 Pearson Correlation -.081 .012 .274 .435** .124 .147 1 .422** .479** .147 .285 .123 .182 .164 .259 .531**

Sig. (2-tailed) .618 .939 .087 .005 .446 .365 .007 .002 .366 .074 .450 .262 .312 .107 .000

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR8 Pearson Correlation .278 .079 .124 .403** .087 .299 .422** 1 .341* .316* .123 .000 .226 .224 .331* .567**

Sig. (2-tailed) .082 .629 .446 .010 .593 .061 .007 .031 .047 .449 1.000 .161 .164 .037 .000

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR9 Pearson Correlation .156 .072 .113 .290 .079 .348* .479** .341* 1 .000 .112 .241 .579** .204 .035 .552**

Sig. (2-tailed) .337 .661 .489 .069 .627 .028 .002 .031 1.000 .491 .134 .000 .206 .828 .000

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR10 Pearson Correlation .352* .311 .274 .011 .455** -.021 .147 .316* .000 1 .078 .123 .078 .339* .555** .517**

Sig. (2-tailed) .026 .051 .087 .948 .003 .898 .366 .047 1.000 .633 .450 .633 .033 .000 .001

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR11 Pearson Correlation .179 .276 .066 .153 -.016 .303 .285 .123 .112 .078 1 .239 .091 .166 .005 .412**

Sig. (2-tailed) .269 .085 .685 .346 .921 .058 .074 .449 .491 .633 .138 .577 .307 .977 .008

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

8

Sig. (2-tailed) .890 .275 .382 .957 .225 .100 .450 1.000 .134 .450 .138 .689 .193 .850 .013

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR13 Pearson Correlation .179 .082 -.036 .318* .091 .139 .182 .226 .579** .078 .091 .065 1 .166 .101 .438**

Sig. (2-tailed) .269 .614 .827 .045 .576 .392 .262 .161 .000 .633 .577 .689 .307 .536 .005

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR14 Pearson Correlation .253 .361* .199 .099 .309 .093 .164 .224 .204 .339* .166 .210 .166 1 .123 .531**

Sig. (2-tailed) .116 .022 .218 .543 .052 .568 .312 .164 .206 .033 .307 .193 .307 .449 .000

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR15 Pearson Correlation .115 .007 .307 .006 .313* .206 .259 .331* .035 .555** .005 -.031 .101 .123 1 .434**

Sig. (2-tailed) .480 .966 .054 .971 .049 .203 .107 .037 .828 .000 .977 .850 .536 .449 .005

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR16 Pearson Correlation .552** .500** .488** .522** .527** .496** .531** .567** .552** .517** .412** .389* .438** .531** .434** 1

Sig. (2-tailed) .000 .001 .001 .001 .000 .001 .000 .000 .000 .001 .008 .013 .005 .000 .005

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

**. Correlation is significant at the 0.01 level (2-tailed).

9

4)

Uji Reliabbilitas Variabel Y

RELIABILITY /VARIABLES=VAR00001 VAR00002 VAR00003 VAR00004 VAR00005 VAR00006 VAR00007 VAR00008 VAR00009 VAR00010

VAR00011 VAR00012 VAR00013 VA R00014 VAR00015 /SCALE('ALL VARIABLES') ALL /MODEL=ALPHA.

Reliability

Scale: ALL VARIABLES

Case Processing Summary

N %

Cases Valid 40 100.0

Excludeda 0 .0

Total 40 100.0

a. Listwise deletion based on all variables in the procedure.

Reliability Statistics

Cronbach's

Alpha N of Items

10

5)

Uji Regresi Linear

REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95) R ANOVA CHANGE /CRITERIA=PIN(.05) POUT(.10)

/NOORIGIN /DEPENDENT VariabelY /METHOD=ENTER VariabelX /RESIDUALS NORM(ZRESID).

Regression

Variables Entered/Removedb

Model

Variables Entered

Variables

Removed Method

1 VariabelXa . Enter

a. All requested variables entered.

b. Dependent Variable: VariabelY

ANOVAb

Model Sum of Squares df Mean Square F Sig.

1 Regression 568.598 1 568.598 522.193 .000a

Residual 41.377 38 1.089

Total 609.975 39

a. Predictors: (Constant), VariabelX

11

Coefficientsa

Model

Unstandardized Coefficients

Standardized Coefficients

t Sig.

95.0% Confidence Interval for B

B Std. Error Beta Lower Bound Upper Bound

1 (Constant) 1.575 2.812 .560 .579 -4.117 7.268

VariabelX .729 .032 .965 22.852 .000 .664 .794

a. Dependent Variable: VariabelY

6)

Uji Determinan

Model Summaryb

Model R R Square

Adjusted R Square

Std. Error of the Estimate

Change Statistics

R Square

Change F Change df1 df2 Sig. F Change

1 .965a .932 .930 1.043 .932 522.193 1 38 .000

a. Predictors: (Constant), VariabelX

3)

Uji Validitas Variabel Y

CORRELATIONS /VARIABLES=VAR1 VAR2 VAR3 VAR4 VAR5 VAR6 VAR7 VAR8 VAR9 VAR10 VAR11 VAR12 VAR13 VA R00014 VAR15 VAR16

/PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE.

Correlations

Correlations

VAR1 VAR2 VAR3 VAR4 VAR5 VAR6 VAR7 VAR8 VAR9 VAR10 VAR11 VAR12 VAR13 VAR14 VAR15 Total

VAR1 Pearson Correlation 1 .459** .207 .306 .397* .350* -.081 .278 .156 .352* .179 .023 .179 .253 .115 .552**

Sig. (2-tailed) .003 .201 .055 .011 .027 .618 .082 .337 .026 .269 .890 .269 .116 .480 .000

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR2 Pearson Correlation .459** 1 .241 .220 .388* .082 .012 .079 .072 .311 .276 .177 .082 .361* .007 .500**

Sig. (2-tailed) .003 .134 .173 .013 .614 .939 .629 .661 .051 .085 .275 .614 .022 .966 .001

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR3 Pearson Correlation .207 .241 1 .206 .483** .119 .274 .124 .113 .274 .066 .142 -.036 .199 .307 .488**

Sig. (2-tailed) .201 .134 .202 .002 .463 .087 .446 .489 .087 .685 .382 .827 .218 .054 .001

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR4 Pearson Correlation .306 .220 .206 1 .156 .204 .435** .403** .290 .011 .153 .009 .318* .099 .006 .522**

Sig. (2-tailed) .055 .173 .202 .337 .206 .005 .010 .069 .948 .346 .957 .045 .543 .971 .001

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

Sig. (2-tailed) .011 .013 .002 .337 .979 .446 .593 .627 .003 .921 .225 .576 .052 .049 .000

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR6 Pearson Correlation .350* .082 .119 .204 .004 1 .147 .299 .348* -.021 .303 .264 .139 .093 .206 .496**

Sig. (2-tailed) .027 .614 .463 .206 .979 .365 .061 .028 .898 .058 .100 .392 .568 .203 .001

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR7 Pearson Correlation -.081 .012 .274 .435** .124 .147 1 .422** .479** .147 .285 .123 .182 .164 .259 .531**

Sig. (2-tailed) .618 .939 .087 .005 .446 .365 .007 .002 .366 .074 .450 .262 .312 .107 .000

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR8 Pearson Correlation .278 .079 .124 .403** .087 .299 .422** 1 .341* .316* .123 .000 .226 .224 .331* .567**

Sig. (2-tailed) .082 .629 .446 .010 .593 .061 .007 .031 .047 .449 1.000 .161 .164 .037 .000

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR9 Pearson Correlation .156 .072 .113 .290 .079 .348* .479** .341* 1 .000 .112 .241 .579** .204 .035 .552**

Sig. (2-tailed) .337 .661 .489 .069 .627 .028 .002 .031 1.000 .491 .134 .000 .206 .828 .000

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR10 Pearson Correlation .352* .311 .274 .011 .455** -.021 .147 .316* .000 1 .078 .123 .078 .339* .555** .517**

Sig. (2-tailed) .026 .051 .087 .948 .003 .898 .366 .047 1.000 .633 .450 .633 .033 .000 .001

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR11 Pearson Correlation .179 .276 .066 .153 -.016 .303 .285 .123 .112 .078 1 .239 .091 .166 .005 .412**

Sig. (2-tailed) .269 .085 .685 .346 .921 .058 .074 .449 .491 .633 .138 .577 .307 .977 .008

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

Sig. (2-tailed) .890 .275 .382 .957 .225 .100 .450 1.000 .134 .450 .138 .689 .193 .850 .013

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR13 Pearson Correlation .179 .082 -.036 .318* .091 .139 .182 .226 .579** .078 .091 .065 1 .166 .101 .438**

Sig. (2-tailed) .269 .614 .827 .045 .576 .392 .262 .161 .000 .633 .577 .689 .307 .536 .005

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR14 Pearson Correlation .253 .361* .199 .099 .309 .093 .164 .224 .204 .339* .166 .210 .166 1 .123 .531**

Sig. (2-tailed) .116 .022 .218 .543 .052 .568 .312 .164 .206 .033 .307 .193 .307 .449 .000

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR15 Pearson Correlation .115 .007 .307 .006 .313* .206 .259 .331* .035 .555** .005 -.031 .101 .123 1 .434**

Sig. (2-tailed) .480 .966 .054 .971 .049 .203 .107 .037 .828 .000 .977 .850 .536 .449 .005

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

VAR16 Pearson Correlation .552** .500** .488** .522** .527** .496** .531** .567** .552** .517** .412** .389* .438** .531** .434** 1

Sig. (2-tailed) .000 .001 .001 .001 .000 .001 .000 .000 .000 .001 .008 .013 .005 .000 .005

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

**. Correlation is significant at the 0.01 level (2-tailed). *. Correlation is significant at the 0.05 level (2-tailed).

4)

Uji Reliabbilitas Variabel Y

RELIABILITY /VARIABLES=VAR00001 VAR00002 VAR00003 VAR00004 VAR00005 VAR00006 VAR00007 VAR00008 VAR00009 VAR00010

VAR00011 VAR00012 VAR00013 VA R00014 VAR00015 /SCALE('ALL VARIABLES') ALL /MODEL=ALPHA.

Reliability

Scale: ALL VARIABLES

Case Processing Summary

N %

Cases Valid 40 100.0

Excludeda 0 .0

Total 40 100.0

a. Listwise deletion based on all variables in the procedure.

Reliability Statistics

Cronbach's

Alpha N of Items

5)

Uji Regresi Linear

REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95) R ANOVA CHANGE /CRITERIA=PIN(.05) POUT(.10)

/NOORIGIN /DEPENDENT VariabelY /METHOD=ENTER VariabelX /RESIDUALS NORM(ZRESID).

Regression

Variables Entered/Removedb

Model

Variables Entered

Variables

Removed Method

1 VariabelXa . Enter

a. All requested variables entered. b. Dependent Variable: VariabelY

ANOVAb

Model Sum of Squares df Mean Square F Sig.

1 Regression 568.598 1 568.598 522.193 .000a

Residual 41.377 38 1.089

Total 609.975 39

a. Predictors: (Constant), VariabelX b. Dependent Variable: VariabelY

Coefficientsa

Model

Unstandardized Coefficients

Standardized Coefficients

t Sig.

95.0% Confidence Interval for B

B Std. Error Beta Lower Bound Upper Bound

1 (Constant) 1.575 2.812 .560 .579 -4.117 7.268

VariabelX .729 .032 .965 22.852 .000 .664 .794

a. Dependent Variable: VariabelY

6)

Uji Determinan

Model Summaryb

Model R R Square

Adjusted R Square

Std. Error of the Estimate

Change Statistics R Square

Change F Change df1 df2 Sig. F Change

1 .965a .932 .930 1.043 .932 522.193 1 38 .000

a. Predictors: (Constant), VariabelX b. Dependent Variable: VariabelY