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Pengaruh Budaya Organisasi dan Gaya Kepemimpinan Transformasional terhadap Intensi Turnover Karyawan

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A.

DAYA BEDA ITEM SKALA INTENSI

TURNOVER

KARYAWAN

1.

PUTARAN I

Reliability Statistics

Cronbach's Alpha N of Items

.908 30

Item-Total Statistics

Scale Mean if

Item Deleted

Scale Variance if Item

Deleted

Corrected Item-Total

Correlation

Cronbach's Alpha if Item

Deleted

(3)

2.

PUTARAN II

Reliability Statistics

Cronbach's Alpha N of Items

.920 27

Item-Total Statistics

Scale Mean if Item

Deleted

Scale Variance if

Item Deleted

Corrected Item-Total

Correlation

Cronbach's Alpha if Item

Deleted

(4)

B.

ANALISIS FAKTOR SKALA INTENSI

TURNOVER

KARYAWAN

1

THINKING TO QUIT

KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .758

Bartlett's Test of Sphericity Approx. Chi-Square 197.145

df 36

Sig. .000

Anti-image Matrices

ITEM1 ITEM7 ITEM10 ITEM13 ITEM16 ITEM19 ITEM22 ITEM25 ITEM28

Anti-image

Covariance

ITEM1 .768 -.210 -.066 -.046 -.022 -.018 .065 -.085 .052

Anti-image

Correlation

ITEM1 .781a -.309 -.085 -.062 -.031 -.026 .085 -.130 .070

(5)

Communalities

Initial Extraction

ITEM1 1.000 .493

Extraction Method: Principal Component Analysis.

Total Variance Explained

Component

Initial Eigenvalues

Extraction Sums of Squared

Loadings Rotation Sums of Squared Loadings

Total

% of

Variance Cumulative % Total

% of

Variance Cumulative % Total

% of

Variance Cumulative %

dimension0

1 3.141 34.901 34.901 3.141 34.901 34.901 2.455 27.283 27.283

(6)

Component Matrixa

Component

1 2 3

Extraction Method: Principal Component Analysis.

a. 3 components extracted.

Rotated Component Matrixa

Component

1 2 3

Extraction Method: Principal Component Analysis.

Rotation Method: Varimax with Kaiser Normalization.

a. Rotation converged in 5 iterations.

Component Transformation Matrix

Component 1 2 3

dimension0

1 .776 .575 .258

2 -.630 .691 .354

3 .025 -.437 .899

Extraction Method: Principal Component Analysis.

(7)

2

INTENTION TO SEARCH

KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .815

Bartlett's Test of Sphericity Approx. Chi-Square 226.947

df 28

Sig. .000

Anti-image Matrices

ITEM2 ITEM5 ITEM8 ITEM11 ITEM14 ITEM20 ITEM23 ITEM26

Anti-image

Covariance

ITEM2 .624 -.106 -.096 -.269 -.037 -.030 .014 -.041

Anti-image

Correlation

ITEM2 .800a -.146 -.156 -.421 -.064 -.053 .022 -.067

(8)

Communalities

Initial Extraction

ITEM2 1.000 .729

Extraction Method: Principal Component Analysis.

Total Variance Explained

Component

Initial Eigenvalues

Extraction Sums of Squared

Loadings Rotation Sums of Squared Loadings

Total

% of

Variance Cumulative % Total

% of

Variance Cumulative % Total

% of

Variance Cumulative %

dimension0

1 3.490 43.619 43.619 3.490 43.619 43.619 2.547 31.832 31.832

(9)

Component Matrixa

Component

1 2 3

Extraction Method: Principal Component Analysis.

a. 3 components extracted.

Rotated Component Matrixa

Component

1 2 3

Extraction Method: Principal Component Analysis.

Rotation Method: Varimax with Kaiser Normalization.

a. Rotation converged in 4 iterations.

Component Transformation Matrix

Component 1 2 3

dimension0

1 .785 .520 .337

2 -.326 -.116 .938

3 -.527 .846 -.078

Extraction Method: Principal Component Analysis.

(10)

3

INTENTION TO QUIT

KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .769

Bartlett's Test of Sphericity Approx. Chi-Square 271.435

df 45

Sig. .000

Anti-image Matrices

ITEM3 ITEM6 ITEM9 ITEM12 ITEM15 ITEM18 ITEM21 ITEM24 ITEM27 ITEM30

Anti-image

Covariance

ITEM3 .627 -.030 -.240 -.014 -.085 .028 -.146 -.004 .020 -.073

Anti-image

Correlation

ITEM3 .785a -.048 -.405 -.020 -.132 .046 -.213 -.007 .031 -.125

(11)

Communalities

Initial Extraction

ITEM3 1.000 .601

Extraction Method: Principal Component Analysis.

Total Variance Explained

Component

Initial Eigenvalues

Extraction Sums of Squared

Loadings Rotation Sums of Squared Loadings

Total

% of

Variance Cumulative % Total

% of

Variance Cumulative % Total

% of

Variance Cumulative %

dimension0

1 3.537 35.373 35.373 3.537 35.373 35.373 2.583 25.831 25.831

(12)

Component Matrixa

Component

1 2 3

Extraction Method: Principal Component Analysis.

a. 3 components extracted.

Rotated Component Matrixa

Component

1 2 3

Extraction Method: Principal Component Analysis.

Rotation Method: Varimax with Kaiser Normalization.

(13)

Component Transformation Matrix

Component 1 2 3

dimension0

1 .720 .511 .468

2 -.681 .397 .615

3 -.129 .762 -.634

Extraction Method: Principal Component Analysis.

(14)

C.

RELIABILITAS SKALA INTENSI

TURNOVER

KARYAWAN

Reliability Statistics

Cronbach's Alpha N of Items

.888 15

Item-Total Statistics

Scale Mean if Item

Deleted

Scale Variance if

Item Deleted

Corrected Item-Total

Correlation

Cronbach's Alpha if Item

Deleted

ITEM1 38.63 70.781 .494 .884

Scale Statistics

Mean Variance Std. Deviation N of Items

(15)

A.

UJI BEDA DAYA ITEM SKALA BUDAYA ORGANISASI

1

PUTARAN I

Reliability Statistics

Cronbach's Alpha N of Items

.843 24

Item-Total Statistics

Scale Mean if

Item Deleted

Scale Variance if

Item Deleted

Corrected Item-Total

Correlation

Cronbach's Alpha if

Item Deleted

(16)

2

PUTARAN II

Reliability Statistics

Cronbach's Alpha N of Items

.883 19

Item-Total Statistics

Scale Mean if

Item Deleted

Scale Variance if

Item Deleted

Corrected Item-Total

Correlation

Cronbach's Alpha if

Item Deleted

(17)

B.

ANALISI FAKTOR SKALA BUDAYA ORGANISASI

1.

BUDAYA BIOKRASI

a.

PUTARAN 1

KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .642

Bartlett's Test of Sphericity Approx. Chi-Square 94.558

df 10

Sig. .000

Anti-image Matrices

ITEM1 ITEM4 ITEM10 ITEM16 ITEM19

a. Measures of Sampling Adequacy(MSA)

Communalities

Initial Extraction

ITEM1 1.000 .792

ITEM4 1.000 .519

ITEM10 1.000 .593

ITEM16 1.000 .522

ITEM19 1.000 .897

(18)

Total Variance Explained

Component Initial Eigenvalues Extraction Sums of Squared Loadings

Total % of Variance Cumulative % Total % of Variance Cumulative %

dimension0

1 2.271 45.419 45.419 2.271 45.419 45.419

2 1.051 21.026 66.445 1.051 21.026 66.445

3 .753 15.069 81.514

4 .532 10.645 92.159

5 .392 7.841 100.000

Extraction Method: Principal Component Analysis.

Component Matrixa

Component

1 2

Extraction Method: Principal Component Analysis.

a. 2 components extracted.

Rotated Component Matrixa

Component

1 2

Extraction Method: Principal Component Analysis.

Rotation Method: Varimax with Kaiser Normalization.

a. Rotation converged in 3 iterations.

Component Transformation Matrix

Component 1 2

dimension0

1 .924 .382

2 -.382 .924

(19)

b.

PUTARAN II

KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .730

Bartlett's Test of Sphericity Approx. Chi-Square 71.573

df 6

Sig. .000

Anti-image Matrices

ITEM1 ITEM4 ITEM10 ITEM16

a. Measures of Sampling Adequacy(MSA)

Communalities

Initial Extraction

ITEM1 1.000 .590

ITEM4 1.000 .475

ITEM10 1.000 .598

ITEM16 1.000 .496

(20)

Total Variance Explained

Component Initial Eigenvalues Extraction Sums of Squared Loadings

Total % of Variance Cumulative % Total % of Variance Cumulative %

dimension0

1 2.159 53.976 53.976 2.159 53.976 53.976

2 .764 19.103 73.079

3 .559 13.986 87.065

4 .517 12.935 100.000

Extraction Method: Principal Component Analysis.

Component Matrixa

Component

1

ITEM1 .768

ITEM4 .689

ITEM10 .773

ITEM16 .705

Extraction Method: Principal Component Analysis.

(21)

2.

BUDAYA INOVATIF

KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .775

Bartlett's Test of Sphericity Approx. Chi-Square 119.248

df 15

Sig. .000

Anti-image Matrices

ITEM2 ITEM5 ITEM11 ITEM17 ITEM20 ITEM23

Anti-image

Covariance

ITEM2 .667 -.078 -.198 -.166 -.094 .024

Anti-image

Correlation

ITEM2 .791a -.107 -.297 -.246 -.141 .032

a. Measures of Sampling Adequacy(MSA)

Communalities

Initial Extraction

ITEM2 1.000 .633

(22)

Total Variance Explained

Component Initial Eigenvalues Extraction Sums of Squared Loadings

Total % of Variance Cumulative % Total % of Variance Cumulative %

dimension0

1 2.646 44.108 44.108 2.646 44.108 44.108

Extraction Method: Principal Component Analysis.

Component Matrixa

Component

1 2

Extraction Method: Principal Component Analysis.

a. 2 components extracted.

Rotated Component Matrixa

Component

1 2

Extraction Method: Principal Component Analysis.

Rotation Method: Varimax with Kaiser Normalization.

(23)

Component Transformation Matrix

Component 1 2

dimension0

1 .860 .510

2 -.510 .860

Extraction Method: Principal Component Analysis.

(24)

3.

BUDAYA SUPORTIF

KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .767

Bartlett's Test of Sphericity Approx. Chi-Square 180.277

df 28

Sig. .000

Anti-image Matrices

ITEM3 ITEM6 ITEM9 ITEM12 ITEM15 ITEM18 ITEM21 ITEM24

Anti-image

Covariance

ITEM3 .654 -.220 -.072 -.006 -.070 -.063 -.097 -.085

Anti-image

Correlation

ITEM3 .827a -.325 -.100 -.008 -.109 -.095 -.146 -.137

(25)

Communalities

Initial Extraction

ITEM3 1.000 .542

Extraction Method: Principal Component Analysis.

Total Variance Explained

Component Initial Eigenvalues Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings

Total

% of

Variance

Cumulative

% Total

% of

Variance Cumulative % Total

% of

Variance Cumulative %

dimension0

1 3.069 38.357 38.357 3.069 38.357 38.357 2.403 30.038 30.038

Extraction Method: Principal Component Analysis.

Component Matrixa

Component

1 2

(26)

Rotated Component Matrixa

Component

1 2

Extraction Method: Principal Component Analysis.

Rotation Method: Varimax with Kaiser Normalization.

a. Rotation converged in 3 iterations.

Component Transformation Matrix

Component 1 2

dimension0

1 .787 .617

2 -.617 .787

Extraction Method: Principal Component Analysis.

(27)

C.

RELIABILITAS SKALA BUDAYA ORGANISASI

Reliability Statistics

Cronbach's Alpha N of Items

.856 12

Item-Total Statistics

Scale Mean if Item

Deleted

Scale Variance if

Item Deleted

Corrected Item-Total

Correlation

Cronbach's Alpha if

Item Deleted

ITEM1 40.16 43.813 .400 .854

Scale Statistics

Mean Variance Std. Deviation N of Items

(28)

A.

DAYA

BEDA

ITEM

GAYA

KEPEMIMPINAN

TRANSFORMASIONAL

1.

PUTARAN I

Reliability Statistics

Cronbach's

Alpha

N of Items

.927

40

Item-Total Statistics

Scale Mean if

Item Deleted

Scale Variance

if Item Deleted

Corrected

Item-Total

Correlation

Cronbach's

Alpha if Item

Deleted

(29)
(30)

2.

PUTARAN KE II

Reliability Statistics

Cronbach's

Alpha

N of Items

.932

34

Item-Total Statistics

Scale Mean if

Item Deleted

Scale

Variance if

Item

Deleted

Corrected

Item-Total

Correlation

Cronbach's Alpha

if Item Deleted

(31)

3.

PUTARAN III

Item-Total Statistics

Scale Mean if

Item Deleted

Scale

Variance if

Item Deleted

Corrected

Item-Total

Correlation

Cronbach's

Alpha if Item

Deleted

ITEM1

107.5600

318.208

.717

.930

Reliability Statistics

Cronbach's

Alpha

N of Items

(32)

4.

PUTARAN IV

Reliability Statistics

Cronbach's Alpha N of Items

.936

31

Item-Total Statistics

Scale Mean if

Item Deleted

Scale

Variance if

Item Deleted

Corrected

Item-Total

Correlation

Cronbach's

Alpha if Item

Deleted

(33)

B.

ANALISIS

FAKTOR

SKALA

GAYA

KEPEMIMPINAN

TRANSFORMASIONAL

1

ASPEK

INDIVIDUALIZED INFLUENCE

KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy.

.744

Bartlett's Test of

Sphericity

Approx. Chi-Square

168.722

df

21

Sig.

.000

Anti-image Matrices

ITEM1 ITEM5 ITEM13 ITEM17 ITEM21 ITEM33 ITEM37

Anti-image

Covariance

ITEM1 .565 -.116 .002 -.173 -.016 -.274 -.005

Anti-image

Correlation

ITEM1 .716a -.196 .004 -.258 -.025 -.474 -.008

a. Measures of Sampling Adequacy(MSA)

Communalities

Initial Extraction

ITEM1 1.000 .725

(34)

Total Variance Explained

Component Initial Eigenvalues Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings

Total % of Variance Cumulative % Total % of Variance Cumulative % Total % of Variance Cumulative %

dimension0

1 2.924 41.775 41.775 2.924 41.775 41.775 2.249 32.126 32.126

Extraction Method: Principal Component Analysis.

Component Matrixa

Component

1 2

Extraction Method: Principal Component Analysis.

a. 2 components extracted.

Rotated Component Matrixa

Component

1 2

Extraction Method: Principal Component Analysis.

Rotation Method: Varimax with Kaiser Normalization.

(35)

Component Transformation Matrix

Component 1 2

dimension0

1 .779 .627

2 -.627 .779

Extraction Method: Principal Component Analysis.

(36)

2

ASPEK

INSPIRATIONAL MOTIVATION

KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy.

.787

Bartlett's Test of

Sphericity

Approx. Chi-Square

268.289

df

28

Sig.

.000

Anti-image Matrices

ITEM2 ITEM10 ITEM18 ITEM22 ITEM26 ITEM30 ITEM34 ITEM38

Anti-image

Covariance

ITEM2 .498 -.103 -.194 .004 -.013 .081 -.102 -.033

Anti-image

Correlation

ITEM2 .808a -.194 -.428 .006 -.023 .151 -.206 -.055

a. Measures of Sampling Adequacy(MSA)

Communalities

Initial Extraction

ITEM2 1.000 .665

(37)

Total Variance Explained

Component Initial Eigenvalues Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings

Total % of Variance Cumulative % Total % of Variance Cumulative % Total % of Variance Cumulative %

dimension0

1 3.489 43.608 43.608 3.489 43.608 43.608 2.919 36.488 36.488

Extraction Method: Principal Component Analysis.

Component Matrixa

Component

1 2

Extraction Method: Principal Component Analysis.

(38)

Rotated Component Matrixa

Component

1 2

Extraction Method: Principal Component Analysis.

Rotation Method: Varimax with Kaiser Normalization.

a. Rotation converged in 3 iterations.

Component Transformation Matrix

Component 1 2

dimension0

1 .850 .527

2 -.527 .850

Extraction Method: Principal Component Analysis.

(39)

3

ASPEK

INTELLECTUAL STIMULATION

KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .763

Bartlett's Test of Sphericity Approx. Chi-Square 240.454

df 28

Sig. .000

Anti-image Matrices

ITEM3 ITEM7 ITEM11 ITEM15 ITEM19 ITEM23 ITEM27 ITEM35

Anti-image

Covariance

ITEM3 .555 -.091 .016 -.101 -.094 .065 -.152 -.081

Anti-image

Correlation

ITEM3 .836a -.167 .026 -.156 -.165 .103 -.323 -.139

(40)

Communalities

Initial Extraction

ITEM3 1.000 .609

Extraction Method: Principal Component Analysis.

Total Variance Explained

Component

Initial Eigenvalues

Extraction Sums of Squared

Loadings Rotation Sums of Squared Loadings

Total

% of

Variance Cumulative % Total

% of

Variance Cumulative % Total

% of

Variance Cumulative %

dimension0

1 3.307 41.340 41.340 3.307 41.340 41.340 2.673 33.417 33.417

(41)

Component Matrixa

Component

1 2

Extraction Method: Principal Component Analysis.

a. 2 components extracted.

Rotated Component Matrixa

Component

1 2

Extraction Method: Principal Component Analysis.

Rotation Method: Varimax with Kaiser Normalization.

a. Rotation converged in 3 iterations.

Component Transformation Matrix

Component 1 2

dimension0

1 .822 .570

2 -.570 .822

Extraction Method: Principal Component Analysis.

(42)

4

ASPEK

INDIVIDUALIZED CONSIDERATION

KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .830

Bartlett's Test of Sphericity Approx. Chi-Square 246.251

df 28

Sig. .000

Anti-image Matrices

ITEM4 ITEM8 ITEM12 ITEM20 ITEM24 ITEM28 ITEM32 ITEM36

Anti-image

Covariance

ITEM4 .659 -.006 -.097 -.111 .083 -.158 .101 -.105

Anti-image

Correlation

ITEM4 .785a -.009 -.142 -.172 .145 -.299 .143 -.174

(43)

Communalities

Initial Extraction

ITEM4 1.000 .679

Extraction Method: Principal Component Analysis.

Total Variance Explained

Component Initial Eigenvalues Extraction Sums of Squared Loadings Rotation Sums of Squared Loadin

Total

% of

Variance Cumulative % Total

% of

Variance Cumulative % Total

% of

Variance Cumulative %

dimension0

1 3.604 45.055 45.055 3.604 45.055 45.055 2.478 30.979 30.9

(44)

Component Matrixa

Component

1 2

Extraction Method: Principal Component Analysis.

a. 2 components extracted.

Rotated Component Matrixa

Component

1 2

Extraction Method: Principal Component Analysis.

Rotation Method: Varimax with Kaiser Normalization.

a. Rotation converged in 3 iterations.

Component Transformation Matrix

Component 1 2

dimension0

1 .738 .675

2 -.675 .738

Extraction Method: Principal Component Analysis.

(45)

C.

RELIABILITAS SKALA GAYA KEPEMIMPINAN

TRANSFORMASIONAL

Reliability Statistics

Cronbach's Alpha N of Items

.914 18

Item-Total Statistics

Scale Mean if Item

Deleted

Scale Variance if

Item Deleted

Corrected Item-Total

Correlation

Cronbach's Alpha if

Item Deleted

ITEM2 59.32 117.594 .704 .907

Scale Statistics

Mean Variance Std. Deviation N of Items

(46)

UJI ASUMSI

A.

UJI NORMALITAS

1)

Uji Normalitas Budaya Biokrasi Terhadap Intensi Turnover Karyawan

One-Sample Kolmogorov-Smirnov Test

Unstandardized Residual

N 206

Normal Parametersa,b Mean .0000000

Std. Deviation 8.49670505

Most Extreme Differences Absolute .058

Positive .056

Negative -.058

Kolmogorov-Smirnov Z .827

Asymp. Sig. (2-tailed) .501

a. Test distribution is Normal.

b. Calculated from data.

2)

Uji Normalitas Budaya Inovatif Terhadap Intensi Turnover Karyawan

One-Sample Kolmogorov-Smirnov Test

Unstandardized Residual

N 206

Normal Parametersa,b Mean .0000000

Std. Deviation 8.46357288

Most Extreme Differences Absolute .055

Positive .046

Negative -.055

Kolmogorov-Smirnov Z .793

Asymp. Sig. (2-tailed) .555

a. Test distribution is Normal.

(47)

3)

Uji Normalitas Budaya Suportif Terhadap Intensi Turnover Karyawan

One-Sample Kolmogorov-Smirnov Test

Unstandardized Residual

N 206

Normal Parametersa,b Mean .0000000

Std. Deviation 8.43679009

Most Extreme Differences Absolute .069

Positive .049

Negative -.069

Kolmogorov-Smirnov Z .985

Asymp. Sig. (2-tailed) .286

a. Test distribution is Normal.

b. Calculated from data.

4)

Uji Normalitas Gaya Kepemimpinan Transformasional Terhadap Intensi

Turnover Karyawan

One-Sample Kolmogorov-Smirnov Test

Unstandardized Predicted Value

N 206

Normal Parametersa,b Mean 39.8834951

Std. Deviation 3.85337653

Most Extreme Differences Absolute .062

Positive .062

Negative -.059

Kolmogorov-Smirnov Z .888

Asymp. Sig. (2-tailed) .409

a. Test distribution is Normal.

(48)

5)

Uji Normalitas Budaya Organisasi (Biokrasi, Inovatif, Suportif) Dan

Gaya Kepemimpinan Transformasional Terhadap Intensi

Turnover

Karyawan

One-Sample Kolmogorov-Smirnov Test

Unstandardized Residual

N 206

Normal Parametersa,b Mean .0000000

Std. Deviation 7.71473627

Most Extreme Differences Absolute .077

Positive .050

Negative -.077

Kolmogorov-Smirnov Z 1.104

Asymp. Sig. (2-tailed) .174

a. Test distribution is Normal.

b. Calculated from data.

B.

UJI LINEARITAS

1.

Uji Linearitas Budaya Biokrasi Terhadap Intensi Turnover Karyawan

ANOVA Table

Sum of

B.BIOKRASI

Betwee

n

Groups

(Combined) 937.750 12 78.146 1.054 .402

Linearity 453.435 1 453.435 6.113 .014

Deviation from Linearity 484.315 11 44.029 .594 .833

Within Groups 14315.454 193 74.173

Total 15253.204 205

2.

Uji Linearitas Budaya Inovatif Terhadap Intensi Turnover Karyawan

ANOVA Table

Sum of

Squares df

Mean

Square F Sig.

I.TURNOVER

* B.INOVATIF

Between

Groups

(Combined) 1230.169 13 94.628 1.296 .218

Linearity 568.630 1 568.630 7.786 .006

Deviation from Linearity 661.538 12 55.128 .755 .696

Within Groups 14023.035 192 73.037

(49)

3.

Uji Linearitas Budaya Suportif Terhhadap Intensi Turnover Karyawan

ANOVA Table

Sum of

Squares df

Mean

Square F Sig.

I.TURNOVER *

B.SUPORTIF

Between

Groups

(Combined) 3147.946 12 262.329 4.182 .000

Linearity 661.421 1 661.421 10.545 .001

Deviation from Linearity 2486.525 11 226.048 3.604 .000

Within Groups 12105.257 193 62.722

Total 15253.204 205

4.

Uji Linearitas Gaya Kepemimpinan Transforasional Terhadap Intensi

Turnover Karyawan

ANOVA Table

Sum of

Squares df

Mean

Square F Sig.

I.TURNOVER

* G.K.T

Between Groups (Combined) 6816.594 42 162.300 3.136 .000

Linearity 3043.945 1 3043.945 58.811 .000

Deviation from Linearity 3772.649 41 92.016 1.778 .006

Within Groups 8436.610 163 51.758

Total 15253.204 205

C.

UJI AUTOKORELASI

Model Summaryb

Model R R Square Adjusted R Square Std. Error of the Estimate Durbin-Watson

1 .447a .200 .184 7.791 1.910

a. Predictors: (Constant), G.K.T, B.BIOKRASI, B.INOVATIF, B.SUPORTIF

(50)

D.

UJI MULTIKOLINEARITAS

Coefficientsa

Model

Unstandardized Coefficients

Standardized

Coefficients

t Sig.

Collinearity Statistics

B Std. Error Beta Tolerance VIF

a. Dependent Variable: I.TURNOVER

(51)

HASIL PENELITIAN

1.

Pengaruh Budaya Organisasi terhadap Intensi

Turnover

Karyawan

a.

Pengaruh Budaya Biokrasi terhadap Intensi

Turnover

Karyawan

Correlations

I.TURNOVER B.BIOKRASI

Pearson Correlation I.TURNOVER 1.000 -.172

B.BIOKRASI -.172 1.000

Sig. (1-tailed) I.TURNOVER . .007

B.BIOKRASI .007 .

N I.TURNOVER 206 206

B.BIOKRASI 206 206

Variables Entered/Removedb

Model Variables Entered Variables Removed Method

dimension0 1 B.BIOKRASI

a . Enter

a. All requested variables entered.

b. Dependent Variable: I.TURNOVER

Model Summary

Model R R Square Adjusted R Square Std. Error of the Estimate

dimension0 1 .172

a .030 .025 8.518

a. Predictors: (Constant), B.BIOKRASI

ANOVAb

Model Sum of Squares df Mean Square F Sig.

1 Regression 453.435 1 453.435 6.250 .013a

Residual 14799.769 204 72.548

Total 15253.204 205

a. Predictors: (Constant), B.BIOKRASI

(52)

Coefficientsa

Model Unstandardized Coefficients Standardized Coefficients

t Sig.

B Std. Error Beta

1 (Constant) 48.749 3.596 13.558 .000

B.BIOKRASI -.602 .241 -.172 -2.500 .013

a. Dependent Variable: I.TURNOVER

b.

Pengaruh Budaya Inovatif Terhadap Intensi

Turnover

Karyawan

Correlations

I.TURNOVER B.INOVATIF

Pearson Correlation I.TURNOVER 1.000 -.193

B.INOVATIF -.193 1.000

Sig. (1-tailed) I.TURNOVER . .003

B.INOVATIF .003 .

N I.TURNOVER 206 206

B.INOVATIF 206 206

Variables Entered/Removedb

Model Variables Entered Variables Removed Method

1 B.INOVATIFa . Enter

a. All requested variables entered.

b. Dependent Variable: I.TURNOVER

Model Summary

Model R R Square Adjusted R Square Std. Error of the Estimate

1 .193a .037 .033 8.484

(53)

ANOVAb

Model Sum of Squares df Mean Square F Sig.

1 Regression 568.630 1 568.630 7.899 .005a

Residual 14684.574 204 71.983

Total 15253.204 205

a. Predictors: (Constant), B.INOVATIF

b. Dependent Variable: I.TURNOVER

Coefficientsa

Model

Unstandardized Coefficients

Standardized

Coefficients

t Sig.

B Std. Error Beta

1 (Constant) 48.563 3.144 15.445 .000

B.INOVATIF -.588 .209 -.193 -2.811 .005

a. Dependent Variable: I.TURNOVER

c.

Pengaruh Budaya Suportif Terhadap Intensi

Turnover

Karyawan

Correlations

I.TURNOVER B.SUPORTIF

Pearson Correlation I.TURNOVER 1.000 -.208

B.SUPORTIF -.208 1.000

Sig. (1-tailed) I.TURNOVER . .001

B.SUPORTIF .001 .

N I.TURNOVER 206 206

B.SUPORTIF 206 206

Variables Entered/Removedb

Model Variables Entered Variables Removed Method

1 B.SUPORTIFa . Enter

a. All requested variables entered.

(54)

Model Summary

Model R R Square Adjusted R Square Std. Error of the Estimate

1 .208a .043 .039 8.457

a. Predictors: (Constant), B.SUPORTIF

ANOVAb

Model Sum of Squares df Mean Square F Sig.

1 Regression 661.421 1 661.421 9.247 .003a

Residual 14591.783 204 71.528

Total 15253.204 205

a. Predictors: (Constant), B.SUPORTIF

b. Dependent Variable: I.TURNOVER

Coefficientsa

Model

Unstandardized Coefficients

Standardized

Coefficients

t Sig.

B Std. Error Beta

1 (Constant) 50.516 3.546 14.247 .000

B.SUPORTIF -.693 .228 -.208 -3.041 .003

a. Dependent Variable: I.TURNOVER

2.

Pengaruh Gaya Kepemimpinan Transformasional terhadap Intensi

Turnover

Karyawan

Correlations

I.TURNOVER G.K.T

Pearson Correlation I.TURNOVER 1.000 -.447

G.K.T -.447 1.000

Sig. (1-tailed) I.TURNOVER . .000

G.K.T .000 .

N I.TURNOVER 206 206

(55)

Variables Entered/Removedb

Model Variables Entered Variables Removed Method

dimension0 1 G.K.T

a

. Enter

a. All requested variables entered.

b. Dependent Variable: I.TURNOVER

Model Summary

Model R R Square Adjusted R Square Std. Error of the Estimate

dimension0 1 .447

a .200 .196 7.736

a. Predictors: (Constant), G.K.T

ANOVAb

Model Sum of Squares df Mean Square F Sig.

1 Regression 3043.945 1 3043.945 50.860 .000a

Residual 12209.259 204 59.849

Total 15253.204 205

a. Predictors: (Constant), G.K.T

b. Dependent Variable: I.TURNOVER

Coefficientsa

Model

Unstandardized Coefficients

Standardized

Coefficients

t Sig.

B Std. Error Beta

1 (Constant) 65.526 3.636 18.023 .000

G.K.T -.395 .055 -.447 -7.132 .000

a. Dependent Variable: I.TURNOVER

3.

Pengaruh budaya organisasi (biokrasi, inovatif, suportif) dan Gaya

Kepemimpinan Transformasional terhadap Intensi

Turnover

Karyawan

Descriptive Statistics

Mean Std. Deviation N

I.TURNOVER 39.88 8.626 206

B.BIOKRASI 14.72 2.469 206

B.INOVATIF 14.76 2.832 206

(56)

Correlations

I.TURNOVER B.BIOKRASI B.INOVATIF B.SUPORTIF G.K.T

Pearson Correlation I.TURNOVER 1.000 -.172 -.193 -.208 -.447

Variables Entered/Removedb

Model Variables Entered Variables Removed Method

1 G.K.T, B.BIOKRASI,

B.INOVATIF,

B.SUPORTIFa

. Enter

a. All requested variables entered.

b. Dependent Variable: I.TURNOVER

Model Summary

Model R R Square Adjusted R Square Std. Error of the Estimate

1 .447a .200 .184 7.791

(57)

ANOVAb

Model Sum of Squares df Mean Square F Sig.

1 Regression 3052.187 4 763.047 12.570 .000a

Residual 12201.017 201 60.702

Total 15253.204 205

a. Predictors: (Constant), G.K.T, B.BIOKRASI, B.INOVATIF, B.SUPORTIF

b. Dependent Variable: I.TURNOVER

Coefficientsa

Model Unstandardized Coefficients Standardized Coefficients

t Sig.

a. Dependent Variable: I.TURNOVER

4.

Gambaran

Skor

Budaya

Organisasi,

Gaya

kepemimpinan

Transformasional dan Intensi Turnover Karyawan

Descriptive Statistics

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