Dibuat oleh : Yessica (2013-52-017). Notes Output Created 23-MAY-2014 10:54:51 Comments Input Active Dataset DataSet0 Filter Weight Split File N of Rows.

Presentasi berjudul: "Dibuat oleh : Yessica (2013-52-017). Notes Output Created 23-MAY-2014 10:54:51 Comments Input Active Dataset DataSet0 Filter Weight Split File N of Rows."— Transcript presentasi:

1 Dibuat oleh : Yessica (2013-52-017)

2 Notes Output Created 23-MAY-2014 10:54:51 Comments Input Active Dataset DataSet0 Filter Weight Split File N of Rows in Working Data File 30 Missing Value Handling Definition of Missing User-defined missing values are treated as missing. Cases Used Statistics for each pair of variables are based on all the cases with valid data for that pair. Syntax CORRELATIONS /VARIABLES=p1 p2 p3 p4 X1 /PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE. Resources Processor Time 00:00:00,02 Elapsed Time 00:00:00,05 Correlations

3 Tayangan stasiun tv memenuhi kebutuhan Tayangan stasiun tv sesuai dengan harapan Tayangan stasiun tv bermanfaat Memiliki pengalaman yang menarik pada stasiun tv ini HARAPAN PEMIRSA (X1) Tayangan stasiun tv memenuhi kebutuhan Pearson Correlation 1,732 **,632 **,161,865 ** Sig. (2-tailed),000,395,000 N 30 Tayangan stasiun tv sesuai dengan harapan Pearson Correlation,732 ** 1,539 **,135,807 ** Sig. (2-tailed),000,002,478,000 N 30 Tayangan stasiun tv bermanfaat Pearson Correlation,632 **,539 ** 1,270,803 ** Sig. (2-tailed),000,002,149,000 N 30 Memiliki pengalaman yang menarik pada stasiun tv ini Pearson Correlation,161,135,2701,490 ** Sig. (2-tailed),395,478,149,006 N 30 HARAPAN PEMIRSA (X1) Pearson Correlation,865 **,807 **,803 **,490 ** 1 Sig. (2-tailed),000,006 N 30

4 Notes Output Created 23-MAY-2014 10:56:12 Comments Input Active Dataset DataSet0 Filter Weight Split File N of Rows in Working Data File 30 Missing Value Handling Definition of Missing User-defined missing values are treated as missing. Cases Used Statistics for each pair of variables are based on all the cases with valid data for that pair. Syntax CORRELATIONS /VARIABLES=p5 p6 p7 p8 X2 /PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE. Resources Processor Time 00:00:00,13 Elapsed Time 00:00:00,15 Correlations

5 Kinerja stasiun tv baik stasiun tv memiliki tayangan lebih menarik dari pesaingnya Tayang stasiun tv memilik tayangan yang dapat menjangkau seluruh usia Reputasi stasiun tv baik KUALITAS STASIUN TV (X2) Kinerja stasiun tv baik Pearson Correlation 1,267,412 *,574 **,720 ** Sig. (2-tailed),154,024,001,000 N 30 stasiun tv memiliki tayangan lebih menarik dari pesaingnya Pearson Correlation,2671,515 **,354,717 ** Sig. (2-tailed),154,004,055,000 N 30 Tayang stasiun tv memilik tayangan yang dapat menjangkau seluruh usia Pearson Correlation,412 *,515 ** 1,506 **,831 ** Sig. (2-tailed),024,004,000 N 30 Reputasi stasiun tv baik Pearson Correlation,574 **,354,506 ** 1,769 ** Sig. (2-tailed),001,055,004,000 N 30 KUALITAS STASIUN TV (X2) Pearson Correlation,720 **,717 **,831 **,769 ** 1 Sig. (2-tailed),000 N 30 *. Correlation is significant at the 0.05 level (2-tailed). **. Correlation is significant at the 0.01 level (2-tailed).

6 Notes Output Created 23-MAY-2014 10:57:22 Comments Input Active Dataset DataSet0 Filter Weight Split File N of Rows in Working Data File 30 Missing Value Handling Definition of Missing User-defined missing values are treated as missing. Cases Used Statistics for each pair of variables are based on all the cases with valid data for that pair. Syntax CORRELATIONS /VARIABLES=p9 p10 p11 p12 Y /PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE. Resources Processor Time 00:00:00,17 Elapsed Time 00:00:00,17

7 Correlations Memiliki keluhan terhadap stasiun tv Puas dengan stasiun tv Tayangan yang diterima dari stasiun tv sesuai Tayangan stasiun tv melampaui yang diharapkan KEPUASAN PEMIRSA (Y) Memiliki keluhan terhadap stasiun tv Pearson Correlation 1,559 **,363 *,388 *,728 ** Sig. (2-tailed),001,049,034,000 N 30 Puas dengan stasiun tv Pearson Correlation,559 ** 1,643 **,685 **,879 ** Sig. (2-tailed),001,000 N 30 Tayangan yang diterima dari stasiun tv sesuai Pearson Correlation,363 *,643 ** 1,679 **,823 ** Sig. (2-tailed),049,000 N 30 Tayangan stasiun tv melampaui yang diharapkan Pearson Correlation,388 *,685 **,679 ** 1,829 ** Sig. (2-tailed),034,000 N 30 KEPUASAN PEMIRSA (Y) Pearson Correlation,728 **,879 **,823 **,829 ** 1 Sig. (2-tailed),000 N 30 **. Correlation is significant at the 0.01 level (2-tailed). *. Correlation is significant at the 0.05 level (2-tailed).

8 Notes Output Created 23-MAY-2014 10:59:35 Comments Input Active Dataset DataSet0 Filter Weight Split File 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=p1 p2 p3 p4 X1 /SCALE('ALL VARIABLES') ALL /MODEL=ALPHA /STATISTICS=DESCRIPTIVE /SUMMARY=TOTAL. Resources Processor Time 00:00:00,00 Elapsed Time 00:00:00,00 Reliability

9 Case Processing Summary N% Cases Valid 30100,0 Excluded a 0,0 Total 30100,0 a. Listwise deletion based on all variables in the procedure. Reliability Statistics Cronbach's AlphaN of Items,7975 Item Statistics MeanStd. DeviationN Tayangan stasiun tv memenuhi kebutuhan 3,6333,8899230 Tayangan stasiun tv sesuai dengan harapan 3,33331,0933430 Tayangan stasiun tv bermanfaat 3,3000,8769130 Memiliki pengalaman yang menarik pada stasiun tv ini 3,2333,8583630 HARAPAN PEMIRSA (X1) 13,56672,7877030 Item-Total Statistics Scale Mean if Item Deleted Scale Variance if Item Deleted Corrected Item- Total Correlation Cronbach's Alpha if Item Deleted Tayangan stasiun tv memenuhi kebutuhan 23,433323,357,808,736 Tayangan stasiun tv sesuai dengan harapan 23,733322,271,740,731 Tayangan stasiun tv bermanfaat 23,766723,978,740,750 Memiliki pengalaman yang menarik pada stasiun tv ini 23,833327,109,364,816 HARAPAN PEMIRSA (X1) 13,50007,845,991,740 Scale: ALL VARIABLES

10 Notes Output Created 26-MAY-2014 10:20:26 Comments Input Data D:\STATISTIK 1 SPSS\Untitled1 DATA AWAL.sav Active Dataset DataSet1 Filter Weight Split File N of Rows in Working Data File 30 Matrix Input D:\STATISTIK 1 SPSS\Untitled1 DATA AWAL.sav 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=p5 p6 p7 p8 X2 /SCALE('ALL VARIABLES') ALL /MODEL=ALPHA /STATISTICS=DESCRIPTIVE /SUMMARY=TOTAL. Resources Processor Time 00:00:00,02 Elapsed Time 00:00:00,04 Reliability

11 Case Processing Summary N% Cases Valid 30100,0 Excluded a 0,0 Total 30100,0 a. Listwise deletion based on all variables in the procedure. Reliability Statistics Cronbach's AlphaN of Items,8015 Item Statistics MeanStd. DeviationN Kinerja stasiun tv baik 3,6667,8023030 stasiun tv memiliki tayangan lebih menarik dari pesaingnya 3,2333,8583630 Tayang stasiun tv memilik tayangan yang dapat menjangkau seluruh usia 3,86671,0080130 Reputasi stasiun tv baik 3,8333,6989330 KUALITAS STASIUN TV (X2)14,60002,5677030 Item-Total Statistics Scale Mean if Item Deleted Scale Variance if Item Deleted Corrected Item-Total Correlation Cronbach's Alpha if Item Deleted Kinerja stasiun tv baik 25,533321,085,630,775 stasiun tv memiliki tayangan lebih menarik dari pesaingnya 25,966720,792,619,773 Tayang stasiun tv memilik tayangan yang dapat menjangkau seluruh usia 25,333318,782,753,733 Reputasi stasiun tv baik 25,366721,344,703,772 KUALITAS STASIUN TV (X2)14,60006,5931,000,750 Scale: ALL VARIABLES

12 Notes Output Created 26-MAY-2014 10:21:23 Comments Input Data D:\STATISTIK 1 SPSS\Untitled1 DATA AWAL.sav Active Dataset DataSet1 Filter Weight Split File 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=p9 p10 p11 p12 Y /SCALE('ALL VARIABLES') ALL /MODEL=ALPHA /STATISTICS=DESCRIPTIVE /SUMMARY=TOTAL. Resources Processor Time 00:00:00,02 Elapsed Time 00:00:00,02 Reliability

13 Case Processing Summary N% Cases Valid 30100,0 Excluded a 0,0 Total 30100,0 a. Listwise deletion based on all variables in the procedure. Reliability Statistics Cronbach's AlphaN of Items,8185 Item Statistics MeanStd. DeviationN Memiliki keluhan terhadap stasiun tv 3,53331,1366430 Puas dengan stasiun tv 3,3333,9589330 Tayangan yang diterima dari stasiun tv sesuai 3,06671,0806630 Tayangan stasiun tv melampaui yang diharapkan 2,6333,9278630 KEPUASAN PEMIRSA (Y)12,56673,3289130 Item-Total Statistics Scale Mean if Item Deleted Scale Variance if Item Deleted Corrected Item-Total Correlation Cronbach's Alpha if Item Deleted Memiliki keluhan terhadap stasiun tv 21,600034,593,631,793 Puas dengan stasiun tv 21,800034,028,838,769 Tayangan yang diterima dari stasiun tv sesuai 22,066733,651,758,773 Tayangan stasiun tv melampaui yang diharapkan 22,500034,948,776,782 KEPUASAN PEMIRSA (Y)12,566711,0821,000,823 Scale: ALL VARIABLES

14 Notes Output Created 26-MAY-2014 10:27:25 Comments Input Data D:\STATISTIK 1 SPSS\Untitled1 DATA AWAL.sav Active Dataset DataSet1 Filter Weight Split File N of Rows in Working Data File 30 Missing Value Handling Definition of Missing User-defined missing values are treated as missing. Cases Used Statistics are based on cases with no missing values for any variable used. Syntax REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS BCOV R ANOVA COLLIN TOL /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Y /METHOD=ENTER X1 X2 /RESIDUALS DURBIN. Resources Processor Time 00:00:00,03 Elapsed Time 00:00:00,05 Memory Required 1884 bytes Additional Memory Required for Residual Plots 0 bytes Regression [DataSet1] D:\STATISTIK 1 SPSS\Untitled1 DATA AWAL.sav

15 Variables Entered/Removed a ModelVariables EnteredVariables RemovedMethod 1 KUALITAS STASIUN TV (X2), HARAPAN PEMIRSA (X1) b.Enter a. Dependent Variable: KEPUASAN PEMIRSA (Y) b. All requested variables entered. Model Summary b ModelRR SquareAdjusted R Square Std. Error of the Estimate Durbin-Watson 1,865 a,749,7301,728642,417 a. Predictors: (Constant), KUALITAS STASIUN TV (X2), HARAPAN PEMIRSA (X1) b. Dependent Variable: KEPUASAN PEMIRSA (Y) ANOVA a ModelSum of SquaresdfMean SquareFSig. 1 Regression 240,6852120,34240,272,000 b Residual 80,682272,988 Total 321,36729 a. Dependent Variable: KEPUASAN PEMIRSA (Y) b. Predictors: (Constant), KUALITAS STASIUN TV (X2), HARAPAN PEMIRSA (X1)

16 Coefficients a ModelUnstandardized Coefficients Standardized Coefficients tSig.Collinearity Statistics BStd. ErrorBetaToleranceVIF 1 (Constant) -4,6431,952 -2,379,025 HARAPAN PEMIRSA (X1),292,142,2442,059,049,6611,512 KUALITAS STASIUN TV (X2),908,154,7005,906,000,6611,512 a. Dependent Variable: KEPUASAN PEMIRSA (Y) Coefficient Correlations a Model KUALITAS STASIUN TV (X2) HARAPAN PEMIRSA (X1) 1 Correlations KUALITAS STASIUN TV (X2) 1,000-,582 HARAPAN PEMIRSA (X1) -,5821,000 Covariances KUALITAS STASIUN TV (X2),024-,013 HARAPAN PEMIRSA (X1) -,013,020 a. Dependent Variable: KEPUASAN PEMIRSA (Y) Collinearity Diagnostics a ModelDimensionEigenvalueCondition IndexVariance Proportions (Constant) HARAPAN PEMIRSA (X1) KUALITAS STASIUN TV (X2) 1 1 2,9671,000,00 2,02012,241,67,65,00 3,01315,219,33,351,00 a. Dependent Variable: KEPUASAN PEMIRSA (Y)

17 Residuals Statistics a MinimumMaximumMeanStd. DeviationN Predicted Value 5,826517,853712,56672,8808830 Residual -3,672513,14325,000001,6679730 Std. Predicted Value -2,3401,835,0001,00030 Std. Residual -2,1251,818,000,96530 a. Dependent Variable: KEPUASAN PEMIRSA (Y) Notes Output Created 26-MAY-2014 10:48:12 Comments Input Data D:\STATISTIK 1 SPSS\Untitled1 DATA AWAL.sav Active Dataset DataSet1 Filter Weight Split File N of Rows in Working Data File 30 Missing Value Handling Definition of Missing User-defined missing values are treated as missing. Cases Used Statistics for each pair of variables are based on all the cases with valid data for that pair. Syntax CORRELATIONS /VARIABLES=X1 X2 Y /PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE. Resources Processor Time 00:00:00,03 Elapsed Time 00:00:00,03

18 Correlations HARAPAN PEMIRSA (X1) KUALITAS STASIUN TV (X2) KEPUASAN PEMIRSA (Y) HARAPAN PEMIRSA (X1) Pearson Correlation 1,582 **,652 ** Sig. (2-tailed),001,000 N 30 KUALITAS STASIUN TV (X2) Pearson Correlation,582 ** 1,842 ** Sig. (2-tailed),001,000 N 30 KEPUASAN PEMIRSA (Y) Pearson Correlation,652 **,842 ** 1 Sig. (2-tailed),000 N 30

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