Pengaruh Stres Kerja Dan Kompensasi Terhadap Turnover Intention Pada Pt Perkebunan Nusantara Iii (Persero)

(1)

KUESIONER

PENGARUH STRES KERJA DAN KOMPENSASI TERHADAP

TURNOVER INTENTION

_{PADA PT PERKEBUNAN NUSANTARA III}

(PERSERO) MEDAN

Kuesioner ini merupakan alat yang digunakan peneliti untuk memperoleh

data dalam penelitian yang berjudul Pengaruh Stres Kerja Dan Kompensasi

Terhadap

Turnover Intention

Pada PT Perkebunan Nusantara III (Persero) Medan.

Demi kelancaran penelitian ini, peneliti meminta bantuan kepada Saudara/i untuk

bersedia mengisi seluruh bagian dari kuesioner ini.

Nama

:

Umur

:

Lama Bekerja :

Divisi

:

Dalam pengisian kuesioner ini terdapat skala pengukuran dengan cara

memberikan tanda

checklist

_{pada bagian kolom tersedia. Adapun ketentuan huruf}

yang terdapat pada table kuesioner memiliki arti sebagai berikut:

STS

: Sangat Tidak Setuju

TS

: Tidak Setuju

KS

: Kurang Setuju

S

: Setuju

(2)

1. Stres Kerja

(X1)

No.

Pernyataan

STS

TS

KS

S

SS

1. Saya merasa tertekan dengan

pekerjaan Saya.

2. Kesehatan

Saya

sering

terganggu

dalam

menyelesaikan

pekerjaan

yang mengandung stres kerja

yang tinggi.

3. Emosi Saya tidak stabil

karena tekanan kerja yang

terlalu tinggi.

4. Saya merasa bosan dengan

pekerjaan Saya.

2. Kompensasi (X2)

No.

Pernyataan

STS

TS

KS

S

SS

1. Saya menerima gaji yang

cukup.

2. Saya

selalu

mendapat

insentif apabila mengerjakan

tugas lebih dari porsi yang

seharusnya.

3. Saya menerima fasilitas kerja

yang mendukung pekerjaan

Saya.

4. Saya mendapatkan fasilitas

kesehatan dari PTPN III

(Persero) Medan.

3. Turnover Intention

_(Y)

No.

Pernyataan

STS

TS

KS

S

SS

(3)

2.

Saya tetap mencari pekerjaan

dengan gaji lebih tinggi.

3.

Saya tetap mencari pekerjaan

dengan fasilitas lebih baik.

4.

Saya tetap mencari jabatan

lebih tinggi di perusahaan lebih

baik.

(4)

LAMPIRAN II

OUITPUT SPSS VERSI 16.00 UJI VALIDITAS DATA

RELIABILITY

/VARIABLES=x1p1 x1p2 x1p3 x1p4 x2p1 x2p2 x2p3 x2p4 yp1 yp2 yp3 yp4 /SCALE('ALL VARIABLES') ALL

/MODEL=ALPHA

/STATISTICS=DESCRIPTIVE SCALE

/SUMMARY=TOTAL.

Reliability

Notes

Output Created 24-Feb-2015 18:11:35

Comments

Input Active Dataset DataSet0

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data

File 30

Matrix Input

Missing Value Handling Definition of Missing User-defined missing values are treated

as missing.

Cases Used Statistics are based on all cases with

valid data for all variables in the

procedure.

Syntax RELIABILITY

/VARIABLES=x1p1 x1p2 x1p3 x1p4

x2p1 x2p2 x2p3 x2p4 yp1 yp2 yp3 yp4

/SCALE('ALL VARIABLES') ALL

/MODEL=ALPHA

/STATISTICS=DESCRIPTIVE SCALE

/SUMMARY=TOTAL.

Resources Processor Time 00:00:00.032

(5)

[DataSet0]

Scale: ALL VARIABLES

Case Processing Summary

N %

Cases Valid 30 100.0

Excludeda 0 .0

Total 30 100.0

a. Listwise deletion based on all variables in the

procedure.

Reliability Statistics

Cronbach's

Alpha N of Items

.921 12

Item Statistics

Mean Std. Deviation N

x1p1 2.7333 .82768 30

x1p2 2.6000 .93218 30

x1p3 2.6333 .92786 30

x1p4 2.3333 1.09334 30

x2p1 3.2667 .73968 30

x2p2 3.4667 .68145 30

x2p3 3.4667 .73030 30

x2p4 3.5333 .62881 30

yp1 2.5000 1.13715 30

yp2 2.3667 1.06620 30

(6)

Item Statistics

Scale Variance if

(7)

Scale Statistics

Mean Variance Std. Deviation N of Items

34.1667 63.454 7.96580 12

LAMPIRAN III

DISTRIBUSI JAWABAN RESPONDEN UJI VALIDITAS DATA

(8)

(9)

(10)

75 1 1 2 3 7 4 4 4 4 16 1 2 3 2 8

OUTPUT SPSS

_{VERSI 16.00 UJI HIPOTESIS}

REGRESSION

/MISSING LISTWISE

/STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN

/DEPENDENT turover_intention

/METHOD=ENTER stres_kerja kompensasi

/RESIDUALS HIST(ZRESID) NORM(ZRESID).

Regression

Notes

Comments

Filter <none>

Weight <none>

Split File <none>

(11)

as missing.

Cases Used Statistics are based on cases with no

missing values for any variable used.

Syntax REGRESSION

/MISSING LISTWISE

/STATISTICS COEFF OUTS R

ANOVA

/CRITERIA=PIN(.05) POUT(.10)

/NOORIGIN

/METHOD=ENTER stres_kerja

kompensasi

/RESIDUALS HIST(ZRESID)

NORM(ZRESID).

Elapsed Time 00:00:00.718

Memory Required 1636 bytes

Additional Memory Required

for Residual Plots 648 bytes

[DataSet0]

Removed Method

1 kompensasi,

stres_kerjaa . Enter

a. All requested variables entered.

b. Dependent Variable: turover_intention

(12)

1 .759a .576 .567 1.10108

a. Predictors: (Constant), kompensasi, stres_kerja

ANOVAb

Model Sum of Squares df Mean Square F Sig.

1 Regression 145.069 2 72.535 59.828 .000a

Residual 106.689 88 1.212

Total 251.758 90

Coefficientsa

a. Dependent Variable: turover_intention

Residuals Statisticsa

(13)

(14)

REGRESSION

/MISSING LISTWISE

/METHOD=ENTER stres_kerja kompensasi /SCATTERPLOT=(*ZPRED ,*SRESID)

/RESIDUALS HIST(ZRESID) NORM(ZRESID).

Regression

Notes

Comments

(15)

Weight <none>

Split File <none>

File 91

as missing.

Syntax REGRESSION

/MISSING LISTWISE

ANOVA

/NOORIGIN

kompensasi

/SCATTERPLOT=(*ZPRED

,*SRESID)

NORM(ZRESID).

[DataSet0]

Removed Method

1 kompensasi,

(16)

Model Summaryb

ANOVAb

1 Regression 145.069 2 72.535 59.828 .000a

Residual 106.689 88 1.212

Total 251.758 90

Coefficientsa

Minimum Maximum Mean Std. Deviation N

Predicted Value 4.8174 11.5186 7.6813 1.26960 91

(17)

Standard Error of Predicted

Value .117 .372 .191 .061 91

Adjusted Predicted Value 4.8040 11.4564 7.6882 1.27021 91

Residual -3.91972 2.50728 .00000 1.08878 91

Std. Residual -3.560 2.277 .000 .989 91

Stud. Residual -3.644 2.302 -.003 1.005 91

Deleted Residual -4.10707 2.59645 -.00687 1.12486 91

Stud. Deleted Residual -3.932 2.362 -.006 1.024 91

Mahal. Distance .034 9.301 1.978 1.954 91

Cook's Distance .000 .212 .011 .026 91

Centered Leverage Value .000 .103 .022 .022 91

(18)

(19)

REGRESSION

/MISSING LISTWISE

/METHOD=ENTER stres_kerja kompensasi /SCATTERPLOT=(*ZPRED ,*SRESID) /RESIDUALS HIST(ZRESID) NORM(ZRESID)

/SAVE RESID.

(20)

Notes

Comments

Filter <none>

Weight <none>

Split File <none>

File 91

as missing.

Syntax REGRESSION

/MISSING LISTWISE

ANOVA

/NOORIGIN

kompensasi

/SCATTERPLOT=(*ZPRED

,*SRESID)

NORM(ZRESID)

/SAVE RESID.

Variables Created or

Modified

RES_1

(21)

[DataSet0]

Removed Method

1 kompensasi,

Model Summaryb

ANOVAb

1 Regression 145.069 2 72.535 59.828 .000a

Residual 106.689 88 1.212

Total 251.758 90

(22)

kompensasi -.481 .076 -.490 -6.334 .000

Predicted Value 4.8174 11.5186 7.6813 1.26960 91

Std. Predicted Value -2.256 3.022 .000 1.000 91

Value .117 .372 .191 .061 91

Residual -3.91972 2.50728 .00000 1.08878 91

Std. Residual -3.560 2.277 .000 .989 91

Stud. Residual -3.644 2.302 -.003 1.005 91

Mahal. Distance .034 9.301 1.978 1.954 91

Cook's Distance .000 .212 .011 .026 91

(23)

(24)

(25)

NPAR TESTS

/K-S(NORMAL)=RES_1

/MISSING ANALYSIS.

NPar Tests

Notes

Comments

Filter <none>

Weight <none>

(26)

File 91

as missing.

Cases Used Statistics for each test are based on all

cases with valid data for the variable(s)

used in that test.

Syntax NPAR TESTS

/K-S(NORMAL)=RES_1

/MISSING ANALYSIS.

Number of Cases Alloweda 196608

a. Based on availability of workspace memory.

[DataSet0]

One-Sample Kolmogorov-Smirnov Test

Unstandardized

Residual

N 91

Normal Parametersa Mean .0000000

Std. Deviation 1.08877630

Most Extreme Differences Absolute .054

Positive .041

Negative -.054

Kolmogorov-Smirnov Z .514

Asymp. Sig. (2-tailed) .954

a. Test distribution is Normal.

REGRESSION

/MISSING LISTWISE

(27)

/CRITERIA=PIN(.05) POUT(.10) /NOORIGIN

/METHOD=ENTER stres_kerja kompensasi /SCATTERPLOT=(*SRESID ,*ZPRED)

/SAVE RESID.

Regression

Notes

Comments

Filter <none>

Weight <none>

Split File <none>

File 91

as missing.

Syntax REGRESSION

/MISSING LISTWISE

ANOVA

/NOORIGIN

kompensasi

/SCATTERPLOT=(*SRESID

,*ZPRED)

/SAVE RESID.

(28)

Notes

Comments

Filter <none>

Weight <none>

Split File <none>

File 91

as missing.

Syntax REGRESSION

/MISSING LISTWISE

ANOVA

/NOORIGIN

kompensasi

,*ZPRED)

/SAVE RESID.

Modified

RES_2

Unstandardized Residual

[DataSet0]

(29)

Model

Variables

Entered

Variables

Removed Method

1 kompensasi,

Model Summaryb

ANOVAb

1 Regression 145.069 2 72.535 59.828 .000a

Residual 106.689 88 1.212

Total 251.758 90

Coefficientsa

(30)

Predicted Value 4.8174 11.5186 7.6813 1.26960 91

Value .117 .372 .191 .061 91

Residual -3.91972 2.50728 .00000 1.08878 91

Std. Residual -3.560 2.277 .000 .989 91

Stud. Residual -3.644 2.302 -.003 1.005 91

Mahal. Distance .034 9.301 1.978 1.954 91

Cook's Distance .000 .212 .011 .026 91

(31)

COMPUTE absut=ABS(RES_1). EXECUTE.

REGRESSION

/MISSING LISTWISE

/DEPENDENT absut

/METHOD=ENTER stres_kerja kompensasi /SCATTERPLOT=(*SRESID ,*ZPRED)

/SAVE RESID.

(32)

Notes

Comments

Filter <none>

Weight <none>

Split File <none>

File 91

as missing.

Syntax REGRESSION

/MISSING LISTWISE

ANOVA

/NOORIGIN

/DEPENDENT absut

kompensasi

,*ZPRED)

/SAVE RESID.

Modified

RES_3

Unstandardized Residual

[DataSet0]

(33)

Model

Variables

Entered

Variables

Removed Method

1 kompensasi,

b. Dependent Variable: absut

Model Summaryb

ANOVAb

1 Regression .683 2 .341 .737 .482a

Residual 40.771 88 .463

Total 41.454 90

Coefficientsa

(34)

Predicted Value .5823 1.0420 .8467 .08709 91

Value .073 .230 .118 .038 91

Adjusted Predicted Value .5953 1.1052 .8475 .09256 91

Residual -.86590 3.08341 .00000 .67306 91

Std. Residual -1.272 4.530 .000 .989 91

Stud. Residual -1.308 4.637 .000 1.006 91

Deleted Residual -.92259 3.23079 -.00081 .69692 91

Stud. Deleted Residual -1.314 5.304 .009 1.047 91

Mahal. Distance .034 9.301 1.978 1.954 91

Cook's Distance .000 .343 .012 .037 91

a. Dependent Variable: absut

(35)

REGRESSION

/MISSING LISTWISE

/STATISTICS COEFF OUTS BCOV R ANOVA COLLIN TOL /CRITERIA=PIN(.05) POUT(.10)

/NOORIGIN

/DEPENDENT turnover_intention

/METHOD=ENTER stres_kerja kompensasi.

(36)

Notes

Comments

Filter <none>

Weight <none>

Split File <none>

File 91

as missing.

Syntax REGRESSION

/MISSING LISTWISE

/STATISTICS COEFF OUTS BCOV R

ANOVA COLLIN TOL

/NOORIGIN

/DEPENDENT turnover_intention

kompensasi.

[DataSet0]

(37)

Model

Variables

Entered

Variables

Removed Method

1 kompensasi,

b. Dependent Variable: turnover_intention

Model Summary

ANOVAb

1 Regression 145.069 2 72.535 59.828 .000a

Residual 106.689 88 1.212

Total 251.758 90

b. Dependent Variable: turnover_intention

Coefficientsa

a. Dependent Variable: turnover_intention

Coefficient Correlationsa

(38)

1 Correlations kompensasi 1.000 .441

stres_kerja .441 1.000

Covariances kompensasi .006 .002

stres_kerja .002 .005

a. Dependent Variable: turnover_intention

Collinearity Diagnosticsa

Model

Dimensi

on Eigenvalue Condition Index

Variance Proportions

(Constant) stres_kerja kompensasi

1 1 2.949 1.000 .00 .00 .00

2 .047 7.891 .01 .60 .05

3 .003 30.522 .99 .39 .95

(39)

LAMPIRAN V

DISTRIBUSI JAWABAN RESPONDEN UJI HIPOTESIS

(40)

(41)

85 1 2 1 2 6 4 5 5 4 18 2 5 1 1 9

86 2 4 2 3 11 3 4 5 5 17 2 2 3 1 8

87 2 2 1 1 6 5 2 4 5 16 1 2 2 2 7

88 3 3 2 4 12 4 5 3 4 16 2 2 2 3 9

89 2 2 2 1 7 4 4 3 4 15 2 2 2 3 9

90 2 2 2 2 8 5 4 4 4 17 2 3 2 2 9

(42)

FREQUENCIES VARIABLES=X1P1 X1P2 X1P3 X1P4 X2P1 X2P2 X2P3 X2P4 YP1 YP2 YP3 YP4

/ORDER=ANALYSIS.

Frequencies

Notes

Comments

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data File 91

Missing Value Handling Definition of Missing User-defined missing values are treated as

missing.

Cases Used Statistics are based on all cases with valid

data.

Syntax FREQUENCIES VARIABLES=X1P1 X1P2

X1P3 X1P4 X2P1 X2P2 X2P3 X2P4 YP1

YP2 YP3 YP4

/ORDER=ANALYSIS.

(43)

X1P1

Frequency Percent Valid Percent

Cumulative

Percent

Valid sangat tidak setuju 33 36.3 36.3 36.3

tidak setuju 38 41.8 41.8 78.0

kurang setuju 18 19.8 19.8 97.8

setuju 2 2.2 2.2 100.0

Total 91 100.0 100.0

X1P2

Cumulative

Percent

tidak setuju 54 59.3 59.3 78.0

kurang setuju 16 17.6 17.6 95.6

setuju 4 4.4 4.4 100.0

Total 91 100.0 100.0

X1P3

Cumulative

Percent

tidak setuju 60 65.9 65.9 87.9

kurang setuju 11 12.1 12.1 100.0

(44)

X1P4

Cumulative

(45)

Cumulative

(46)

YP3

Cumulative

Percent

tidak setuju 53 58.2 58.2 79.1

kurang setuju 19 20.9 20.9 100.0

Total 91 100.0 100.0

YP4

Cumulative

Percent

tidak setuju 43 47.3 47.3 83.5

kurang setuju 15 16.5 16.5 100.0