Data Spss Mini Riset

90
GET FILE='C:\Users\Public\Documents\Documents\spss sisa.sav'. FREQUENCIES VARIABLES=aroma_makpok rasa_makpok warna_makpok tekstur_makpok penampilan_makpok aroma_LH rasa_LH warna_LH tekstur_LH pe namplan_LH aroma_LN rasa_LN warna_LN tekstur_LN penampilan_LN aroma_sayur rasa_sayur warna_sayur tekstur_sayur penampilan_sayur /STATISTICS=STDDEV MINIMUM MAXIMUM MEAN MEDIAN /ORDER=ANALYSIS. Frequencies Notes Output Created 12-May-2014 09:32:27 Comments Input Data C:\Users\Public\Documents\ Documents\spss sisa.sav Active Dataset DataSet1 Filter <none> Weight <none> Split File <none> 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 all cases with valid data. Syntax FREQUENCIES VARIABLES=aroma_makpok rasa_makpok warna_makpok tekstur_makpok penampilan_makpok aroma_LH rasa_LH warna_LH tekstur_LH penamplan_LH aroma_LN rasa_LN warna_LN tekstur_LN penampilan_LN aroma_sayur rasa_sayur warna_sayur tekstur_sayur penampilan_sayur /STATISTICS=STDDEV MINIMUM MAXIMUM MEAN MEDIAN /ORDER=ANALYSIS.

Transcript of Data Spss Mini Riset

Page 1: Data Spss Mini Riset

GET FILE='C:\Users\Public\Documents\Documents\spss sisa.sav'. FREQUENCIES VARIABLES=aroma_makpok rasa_makpok warna_makpok tekstur_makpok penampilan_makpok aroma_LH rasa_LH warna_LH tekstur_LH pe namplan_LH aroma_LN rasa_LN warna_LN tekstur_LN penampilan_LN aroma_sayur rasa_sayur warna_sayur tekstur_sayur penampilan_sayur /STATISTICS=STDDEV MINIMUM MAXIMUM MEAN MEDIAN /ORDER=ANALYSIS.

Frequencies

Notes

Output Created 12-May-2014 09:32:27

Comments

Input Data C:\Users\Public\Documents\Documents\spss

sisa.sav

Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

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 all cases with valid data.

Syntax FREQUENCIES VARIABLES=aroma_makpok

rasa_makpok warna_makpok tekstur_makpok

penampilan_makpok aroma_LH rasa_LH

warna_LH tekstur_LH penamplan_LH

aroma_LN rasa_LN warna_LN tekstur_LN

penampilan_LN aroma_sayur rasa_sayur

warna_sayur tekstur_sayur

penampilan_sayur

/STATISTICS=STDDEV MINIMUM MAXIMUM

MEAN MEDIAN

/ORDER=ANALYSIS.

Resources Processor Time 0:00:00.000

Elapsed Time 0:00:00.243

[DataSet1] C:\Users\Public\Documents\Documents\spss sisa.sav

Page 2: Data Spss Mini Riset

aroma makanan

pokok

rasa makanan

pokok

warna makanan

pokok

tekstur makanan

pokok

penampilan

makanan pokok

aroma lauk

hewani

N Valid 30 30 30 30 30 30

Missing 0 0 0 0 0 0

Mean 2.00 1.97 2.00 2.13 1.93 2.13

Median 2.00 2.00 2.00 2.00 2.00 2.00

Std. Deviation .830 .809 .830 .730 .740 .776

Minimum 1 1 1 1 1 1

Maximum 3 3 3 3 3 3

Frequency Table

aroma makanan pokok

Frequency Percent Valid Percent Cumulative Percent

Valid kurang baik 10 33.3 33.3 33.3

cukup baik 10 33.3 33.3 66.7

baik 10 33.3 33.3 100.0

Total 30 100.0 100.0

rasa makanan pokok

Frequency Percent Valid Percent Cumulative Percent

Valid kurang baik 10 33.3 33.3 33.3

cukup baik 11 36.7 36.7 70.0

baik 9 30.0 30.0 100.0

Total 30 100.0 100.0

Page 3: Data Spss Mini Riset

warna makanan pokok

Frequency Percent Valid Percent Cumulative Percent

Valid kurang baik 10 33.3 33.3 33.3

cukup baik 10 33.3 33.3 66.7

baik 10 33.3 33.3 100.0

Total 30 100.0 100.0

tekstur makanan pokok

Frequency Percent Valid Percent Cumulative Percent

Valid kurang baik 6 20.0 20.0 20.0

cukup baik 14 46.7 46.7 66.7

baik 10 33.3 33.3 100.0

Total 30 100.0 100.0

penampilan makanan pokok

Frequency Percent Valid Percent Cumulative Percent

Valid kurang menarik 9 30.0 30.0 30.0

cukup menarik 14 46.7 46.7 76.7

menarik 7 23.3 23.3 100.0

Total 30 100.0 100.0

aroma lauk hewani

Frequency Percent Valid Percent Cumulative Percent

Valid kurang baik 7 23.3 23.3 23.3

cukup baik 12 40.0 40.0 63.3

baik 11 36.7 36.7 100.0

Total 30 100.0 100.0

Page 4: Data Spss Mini Riset

rasa lauk hewani

Frequency Percent Valid Percent Cumulative Percent

Valid kurang baik 5 16.7 16.7 16.7

cukup baik 14 46.7 46.7 63.3

baik 11 36.7 36.7 100.0

Total 30 100.0 100.0

warna lauk hewani

Frequency Percent Valid Percent Cumulative Percent

Valid kurang baik 4 13.3 13.3 13.3

cukup baik 13 43.3 43.3 56.7

baik 13 43.3 43.3 100.0

Total 30 100.0 100.0

tekstur lauk hewani

Frequency Percent Valid Percent Cumulative Percent

Valid kurang baik 7 23.3 23.3 23.3

cukup menarik 15 50.0 50.0 73.3

baik 8 26.7 26.7 100.0

Total 30 100.0 100.0

penampilan lauk hewani

Frequency Percent Valid Percent Cumulative Percent

Valid kurang menarik 9 30.0 30.0 30.0

cukup menarik 12 40.0 40.0 70.0

menarik 9 30.0 30.0 100.0

Total 30 100.0 100.0

Page 5: Data Spss Mini Riset

aroma lauk nabati

Frequency Percent Valid Percent Cumulative Percent

Valid kurang baik 9 30.0 30.0 30.0

cukup baik 11 36.7 36.7 66.7

baik 10 33.3 33.3 100.0

Total 30 100.0 100.0

rasa lauk nabati

Frequency Percent Valid Percent Cumulative Percent

Valid kurang baik 10 33.3 33.3 33.3

cukup baik 12 40.0 40.0 73.3

baik 8 26.7 26.7 100.0

Total 30 100.0 100.0

warna lauk nabati

Frequency Percent Valid Percent Cumulative Percent

Valid kurang baik 6 20.0 20.0 20.0

cukup baik 16 53.3 53.3 73.3

baik 8 26.7 26.7 100.0

Total 30 100.0 100.0

tekstur lauk nabati

Frequency Percent Valid Percent Cumulative Percent

Valid kurang baik 7 23.3 23.3 23.3

cukup baik 16 53.3 53.3 76.7

baik 7 23.3 23.3 100.0

Total 30 100.0 100.0

Page 6: Data Spss Mini Riset

penampilan lauk nabati

Frequency Percent Valid Percent Cumulative Percent

Valid kurang menarik 6 20.0 20.0 20.0

cukup menarik 16 53.3 53.3 73.3

menarik 8 26.7 26.7 100.0

Total 30 100.0 100.0

aroma sayur

Frequency Percent Valid Percent Cumulative Percent

Valid kurang baik 8 26.7 26.7 26.7

cukup baik 14 46.7 46.7 73.3

baik 8 26.7 26.7 100.0

Total 30 100.0 100.0

rasa sayur

Frequency Percent Valid Percent Cumulative Percent

Valid kurang baik 7 23.3 23.3 23.3

cukup baik 12 40.0 40.0 63.3

baik 11 36.7 36.7 100.0

Total 30 100.0 100.0

warna sayur

Frequency Percent Valid Percent Cumulative Percent

Valid kurang baik 9 30.0 30.0 30.0

cukup baik 13 43.3 43.3 73.3

baik 8 26.7 26.7 100.0

Total 30 100.0 100.0

Page 7: Data Spss Mini Riset

tekstur sayur

Frequency Percent Valid Percent Cumulative Percent

Valid kurang baik 6 20.0 20.0 20.0

cukup baik 14 46.7 46.7 66.7

baik 10 33.3 33.3 100.0

Total 30 100.0 100.0

penampilan sayur

Frequency Percent Valid Percent Cumulative Percent

Valid kurang menarik 9 30.0 30.0 30.0

cukup menarik 10 33.3 33.3 63.3

menarik 11 36.7 36.7 100.0

Total 30 100.0 100.0

FREQUENCIES VARIABLES=sisa_makpok_pagi sisa_LH_pagi sisa_LN_pagi sisa_sayur_pagi sisa_makpok_siang sisa_LH_siang sisa_LN_siang sisa_ sayur_siang sisa_makpok_sore sisa_LH_sore sisa_LN_sore sisa_sayur_sore /STATISTICS=STDDEV MINIMUM MAXIMUM MEAN MEDIAN /ORDER=ANALYSIS.

Frequencies

Notes

Output Created 12-May-2014 10:06:54

Comments

Input Data C:\Users\Public\Documents\Documents\spss

sisa.sav

Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data File 30

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

missing.

Page 8: Data Spss Mini Riset

Cases Used Statistics are based on all cases with valid data.

Syntax FREQUENCIES

VARIABLES=sisa_makpok_pagi sisa_LH_pagi

sisa_LN_pagi sisa_sayur_pagi

sisa_makpok_siang sisa_LH_siang

sisa_LN_siang sisa_sayur_siang

sisa_makpok_sore sisa_LH_sore sisa_LN_sore

sisa_sayur_sore

/STATISTICS=STDDEV MINIMUM MAXIMUM

MEAN MEDIAN

/ORDER=ANALYSIS.

Resources Processor Time 0:00:00.016

Elapsed Time 0:00:00.010

[DataSet1] C:\Users\Public\Documents\Documents\spss sisa.sav

sisa makanan pokok

pagi

sisa lauk hewani

pagi sisa lauk nabati pagi sisa sayur pagi

sisa makanan pokok

siang

N Valid 30 30 30 30

Missing 0 0 0 0

Mean 1.33 1.40 1.50 1.37

Median 1.00 1.00 1.50 1.00

Std. Deviation .479 .498 .509 .490

Minimum 1 1 1 1

Maximum 2 2 2 2

Frequency Table

Page 9: Data Spss Mini Riset

sisa makanan pokok pagi

Frequency Percent Valid Percent Cumulative Percent

Valid sisa sedikit (≤25%) 20 66.7 66.7 66.7

sisa banyak (>25%) 10 33.3 33.3 100.0

Total 30 100.0 100.0

sisa lauk hewani pagi

Frequency Percent Valid Percent Cumulative Percent

Valid sisa sedikit (≤25%) 18 60.0 60.0 60.0

sisa banyak (>25%) 12 40.0 40.0 100.0

Total 30 100.0 100.0

sisa lauk nabati pagi

Frequency Percent Valid Percent Cumulative Percent

Valid sisa sedikit (≤25%) 15 50.0 50.0 50.0

sisa banyak (>25%) 15 50.0 50.0 100.0

Total 30 100.0 100.0

sisa sayur pagi

Frequency Percent Valid Percent Cumulative Percent

Valid sisa sedikit (≤25%) 19 63.3 63.3 63.3

sisa banyak (>25%) 11 36.7 36.7 100.0

Total 30 100.0 100.0

sisa makanan pokok siang

Frequency Percent Valid Percent Cumulative Percent

Valid sisa sedikit (≤25%) 14 46.7 46.7 46.7

sisa banyak (>25%) 16 53.3 53.3 100.0

Total 30 100.0 100.0

Page 10: Data Spss Mini Riset

sisa lauk hewani siang

Frequency Percent Valid Percent Cumulative Percent

Valid sisa sedikit (≤25%) 19 63.3 63.3 63.3

sisa banyak (>25%) 11 36.7 36.7 100.0

Total 30 100.0 100.0

sisa lauk nabati siang

Frequency Percent Valid Percent Cumulative Percent

Valid sisa sedikt (≤25%) 17 56.7 56.7 56.7

sisa banyak (>25%) 13 43.3 43.3 100.0

Total 30 100.0 100.0

sisa sayur siang

Frequency Percent Valid Percent Cumulative Percent

Valid sisa sedikit (≤25%) 14 46.7 46.7 46.7

sisa banyak (>25%) 16 53.3 53.3 100.0

Total 30 100.0 100.0

sisa makanan pokok sore

Frequency Percent Valid Percent Cumulative Percent

Valid sisa sedikit(≤25%) 18 60.0 60.0 60.0

sisa banyak(>25%) 12 40.0 40.0 100.0

Total 30 100.0 100.0

Page 11: Data Spss Mini Riset

sisa lauk hewani sore

Frequency Percent Valid Percent Cumulative Percent

Valid sisa sedikit (≤25%) 17 56.7 56.7 56.7

sisa banyak (>25%) 13 43.3 43.3 100.0

Total 30 100.0 100.0

sisa lauk nabati sore

Frequency Percent Valid Percent Cumulative Percent

Valid sisa sedikit (≤25%) 17 56.7 56.7 56.7

sisa banyak (>25%) 13 43.3 43.3 100.0

Total 30 100.0 100.0

sisa sayur sore

Frequency Percent Valid Percent Cumulative Percent

Valid sisa sedikit (≤25%) 17 56.7 56.7 56.7

sisa banyak (>25%) 13 43.3 43.3 100.0

Total 30 100.0 100.0

CROSSTABS /TABLES=aroma_makpok rasa_makpok warna_makpok tekstur_makpok penampilan_makpok BY sisa_makpok_pagi sisa_makpok_siang sisa_makpok_s ore /FORMAT=AVALUE TABLES /STATISTICS=CHISQ CORR /CELLS=COUNT /COUNT ROUND CELL.

Crosstabs

Notes

Output Created 12-May-2014 10:09:46

Comments

Input Data C:\Users\Public\Documents\Documents\spss

sisa.sav

Active Dataset DataSet1

Filter <none>

Page 12: Data Spss Mini Riset

Weight <none>

Split File <none>

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 table are based on all the

cases with valid data in the specified range(s)

for all variables in each table.

Syntax CROSSTABS

/TABLES=aroma_makpok rasa_makpok

warna_makpok tekstur_makpok

penampilan_makpok BY sisa_makpok_pagi

sisa_makpok_siang sisa_makpok_sore

/FORMAT=AVALUE TABLES

/STATISTICS=CHISQ CORR

/CELLS=COUNT

/COUNT ROUND CELL.

Resources Processor Time 0:00:00.047

Elapsed Time 0:00:00.215

Dimensions Requested 2

Cells Available 174762

[DataSet1] C:\Users\Public\Documents\Documents\spss sisa.sav

Case Processing Summary

Cases

Valid Missing Total

N Percent N Percent N Percent

aroma makanan pokok * sisa

makanan pokok pagi

30 100.0% 0 .0% 30 100.0%

aroma makanan pokok * sisa

makanan pokok siang

30 100.0% 0 .0% 30 100.0%

aroma makanan pokok * sisa

makanan pokok sore

30 100.0% 0 .0% 30 100.0%

rasa makanan pokok * sisa

makanan pokok pagi

30 100.0% 0 .0% 30 100.0%

Page 13: Data Spss Mini Riset

rasa makanan pokok * sisa

makanan pokok siang

30 100.0% 0 .0% 30 100.0%

rasa makanan pokok * sisa

makanan pokok sore

30 100.0% 0 .0% 30 100.0%

warna makanan pokok * sisa

makanan pokok pagi

30 100.0% 0 .0% 30 100.0%

warna makanan pokok * sisa

makanan pokok siang

30 100.0% 0 .0% 30 100.0%

warna makanan pokok * sisa

makanan pokok sore

30 100.0% 0 .0% 30 100.0%

tekstur makanan pokok * sisa

makanan pokok pagi

30 100.0% 0 .0% 30 100.0%

tekstur makanan pokok * sisa

makanan pokok siang

30 100.0% 0 .0% 30 100.0%

tekstur makanan pokok * sisa

makanan pokok sore

30 100.0% 0 .0% 30 100.0%

penampilan makanan pokok * sisa

makanan pokok pagi

30 100.0% 0 .0% 30 100.0%

penampilan makanan pokok * sisa

makanan pokok siang

30 100.0% 0 .0% 30 100.0%

penampilan makanan pokok * sisa

makanan pokok sore

30 100.0% 0 .0% 30 100.0%

aroma makanan pokok * sisa makanan pokok pagi

Crosstab

Count

sisa makanan pokok pagi

Totalsisa sedikit (<25%) sisa banyak (>25%)

aroma makanan pokok kurang baik 5 5 10

cukup baik 9 1 10

baik 6 4 10

Total 20 10 30

Page 14: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 3.900a 2 .142

Likelihood Ratio 4.366 2 .113

Linear-by-Linear Association .218 1 .641

N of Valid Cases 30

a. 3 cells (50,0%) have expected count less than 5. The minimum expected count is

3,33.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R -.087 .197 -.460 .649c

Ordinal by Ordinal Spearman Correlation -.087 .203 -.460 .649c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

aroma makanan pokok * sisa makanan pokok siang

Crosstab

Count

sisa makanan pokok siang

Totalsisa sedikit (<25%) sisa banyak (>25%)

aroma makanan pokok kurang baik 6 4 10

cukup baik 5 5 10

baik 3 7 10

Total 14 16 30

Page 15: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 1.875a 2 .392

Likelihood Ratio 1.915 2 .384

Linear-by-Linear Association 1.748 1 .186

N of Valid Cases 30

a. 3 cells (50,0%) have expected count less than 5. The minimum expected count is

4,67.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R .245 .174 1.340 .191c

Ordinal by Ordinal Spearman Correlation .245 .174 1.340 .191c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

aroma makanan pokok * sisa makanan pokok sore

Crosstab

Count

sisa makanan pokok sore

Totalsisa sedikit(<25%) sisa banyak(>25%)

aroma makanan pokok kurang baik 8 2 10

cukup baik 6 4 10

baik 4 6 10

Total 18 12 30

Page 16: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 3.333a 2 .189

Likelihood Ratio 3.452 2 .178

Linear-by-Linear Association 3.222 1 .073

N of Valid Cases 30

a. 3 cells (50,0%) have expected count less than 5. The minimum expected count is

4,00.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R .333 .167 1.871 .072c

Ordinal by Ordinal Spearman Correlation .333 .167 1.871 .072c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

rasa makanan pokok * sisa makanan pokok pagi

Crosstab

Count

sisa makanan pokok pagi

Totalsisa sedikit (<25%) sisa banyak (>25%)

rasa makanan pokok kurang baik 7 3 10

cukup baik 7 4 11

baik 6 3 9

Total 20 10 30

Page 17: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square .095a 2 .953

Likelihood Ratio .096 2 .953

Linear-by-Linear Association .025 1 .873

N of Valid Cases 30

a. 3 cells (50,0%) have expected count less than 5. The minimum expected count is

3,00.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R .030 .180 .157 .876c

Ordinal by Ordinal Spearman Correlation .030 .180 .161 .874c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

rasa makanan pokok * sisa makanan pokok siang

Crosstab

Count

sisa makanan pokok siang

Totalsisa sedikit (<25%) sisa banyak (>25%)

rasa makanan pokok kurang baik 5 5 10

cukup baik 4 7 11

baik 5 4 9

Total 14 16 30

Page 18: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square .800a 2 .670

Likelihood Ratio .807 2 .668

Linear-by-Linear Association .045 1 .833

N of Valid Cases 30

a. 3 cells (50,0%) have expected count less than 5. The minimum expected count is

4,20.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R -.039 .184 -.208 .837c

Ordinal by Ordinal Spearman Correlation -.037 .185 -.195 .847c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

rasa makanan pokok * sisa makanan pokok sore

Crosstab

Count

sisa makanan pokok sore

Totalsisa sedikit(<25%) sisa banyak(>25%)

rasa makanan pokok kurang baik 6 4 10

cukup baik 8 3 11

baik 4 5 9

Total 18 12 30

Page 19: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 1.650a 2 .438

Likelihood Ratio 1.664 2 .435

Linear-by-Linear Association .416 1 .519

N of Valid Cases 30

a. 3 cells (50,0%) have expected count less than 5. The minimum expected count is

3,60.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R .120 .186 .639 .528c

Ordinal by Ordinal Spearman Correlation .117 .189 .622 .539c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

warna makanan pokok * sisa makanan pokok pagi

Crosstab

Count

sisa makanan pokok pagi

Totalsisa sedikit (<25%) sisa banyak (>25%)

warna makanan pokok kurang baik 6 4 10

cukup baik 7 3 10

baik 7 3 10

Total 20 10 30

Page 20: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square .300a 2 .861

Likelihood Ratio .296 2 .862

Linear-by-Linear Association .218 1 .641

N of Valid Cases 30

a. 3 cells (50,0%) have expected count less than 5. The minimum expected count is

3,33.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R -.087 .184 -.460 .649c

Ordinal by Ordinal Spearman Correlation -.087 .184 -.460 .649c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

warna makanan pokok * sisa makanan pokok siang

Crosstab

Count

sisa makanan pokok siang

Totalsisa sedikit (<25%) sisa banyak (>25%)

warna makanan pokok kurang baik 2 8 10

cukup baik 6 4 10

baik 6 4 10

Total 14 16 30

Page 21: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 4.286a 2 .117

Likelihood Ratio 4.527 2 .104

Linear-by-Linear Association 3.107 1 .078

N of Valid Cases 30

a. 3 cells (50,0%) have expected count less than 5. The minimum expected count is

4,67.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R -.327 .167 -1.833 .077c

Ordinal by Ordinal Spearman Correlation -.327 .169 -1.833 .077c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

warna makanan pokok * sisa makanan pokok sore

Crosstab

Count

sisa makanan pokok sore

Totalsisa sedikit(<25%) sisa banyak(>25%)

warna makanan pokok kurang baik 7 3 10

cukup baik 6 4 10

baik 5 5 10

Total 18 12 30

Page 22: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square .833a 2 .659

Likelihood Ratio .840 2 .657

Linear-by-Linear Association .806 1 .369

N of Valid Cases 30

a. 3 cells (50,0%) have expected count less than 5. The minimum expected count is

4,00.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R .167 .179 .894 .379c

Ordinal by Ordinal Spearman Correlation .167 .179 .894 .379c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

tekstur makanan pokok * sisa makanan pokok pagi

Crosstab

Count

sisa makanan pokok pagi

Totalsisa sedikit (<25%) sisa banyak (>25%)

tekstur makanan pokok kurang baik 5 1 6

cukup baik 7 7 14

baik 8 2 10

Total 20 10 30

Page 23: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 3.300a 2 .192

Likelihood Ratio 3.368 2 .186

Linear-by-Linear Association .031 1 .860

N of Valid Cases 30

a. 4 cells (66,7%) have expected count less than 5. The minimum expected count is

2,00.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R -.033 .162 -.174 .863c

Ordinal by Ordinal Spearman Correlation -.053 .170 -.281 .781c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

tekstur makanan pokok * sisa makanan pokok siang

Crosstab

Count

sisa makanan pokok siang

Totalsisa sedikit (<25%) sisa banyak (>25%)

tekstur makanan pokok kurang baik 4 2 6

cukup baik 7 7 14

baik 3 7 10

Total 14 16 30

Page 24: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 2.143a 2 .343

Likelihood Ratio 2.192 2 .334

Linear-by-Linear Association 2.064 1 .151

N of Valid Cases 30

a. 3 cells (50,0%) have expected count less than 5. The minimum expected count is

2,80.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R .267 .172 1.465 .154c

Ordinal by Ordinal Spearman Correlation .267 .172 1.468 .153c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

tekstur makanan pokok * sisa makanan pokok sore

Crosstab

Count

sisa makanan pokok sore

Totalsisa sedikit(<25%) sisa banyak(>25%)

tekstur makanan pokok kurang baik 4 2 6

cukup baik 8 6 14

baik 6 4 10

Total 18 12 30

Page 25: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square .159a 2 .924

Likelihood Ratio .161 2 .923

Linear-by-Linear Association .042 1 .838

N of Valid Cases 30

a. 3 cells (50,0%) have expected count less than 5. The minimum expected count is

2,40.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R .038 .180 .201 .842c

Ordinal by Ordinal Spearman Correlation .034 .180 .180 .858c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

penampilan makanan pokok * sisa makanan pokok pagi

Crosstab

Count

sisa makanan pokok pagi

Totalsisa sedikit (<25%) sisa banyak (>25%)

penampilan makanan pokok kurang menarik 6 3 9

cukup menarik 8 6 14

menarik 6 1 7

Total 20 10 30

Page 26: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 1.714a 2 .424

Likelihood Ratio 1.871 2 .392

Linear-by-Linear Association .487 1 .485

N of Valid Cases 30

a. 4 cells (66,7%) have expected count less than 5. The minimum expected count is

2,33.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R -.130 .165 -.692 .495c

Ordinal by Ordinal Spearman Correlation -.123 .169 -.658 .516c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

penampilan makanan pokok * sisa makanan pokok siang

Crosstab

Count

sisa makanan pokok siang

Totalsisa sedikit (<25%) sisa banyak (>25%)

penampilan makanan pokok kurang menarik 5 4 9

cukup menarik 7 7 14

menarik 2 5 7

Total 14 16 30

Page 27: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 1.269a 2 .530

Likelihood Ratio 1.306 2 .520

Linear-by-Linear Association 1.046 1 .307

N of Valid Cases 30

a. 4 cells (66,7%) have expected count less than 5. The minimum expected count is

3,27.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R .190 .175 1.023 .315c

Ordinal by Ordinal Spearman Correlation .187 .176 1.009 .322c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

penampilan makanan pokok * sisa makanan pokok sore

Crosstab

Count

sisa makanan pokok sore

Totalsisa sedikit(<25%) sisa banyak(>25%)

penampilan makanan pokok kurang menarik 6 3 9

cukup menarik 8 6 14

menarik 4 3 7

Total 18 12 30

Page 28: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square .238a 2 .888

Likelihood Ratio .241 2 .886

Linear-by-Linear Association .162 1 .687

N of Valid Cases 30

a. 3 cells (50,0%) have expected count less than 5. The minimum expected count is

2,80.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R .075 .180 .397 .694c

Ordinal by Ordinal Spearman Correlation .076 .180 .405 .689c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

CROSSTABS /TABLES=aroma_LH rasa_LH warna_LH tekstur_LH penampilan_LH BY sisa_LH_pagi sisa_LH_siang sisa_LH_sore /FORMAT=AVALUE TABLES /STATISTICS=CHISQ CORR /CELLS=COUNT /COUNT ROUND CELL.

Crosstabs

Notes

Output Created 12-May-2014 10:15:17

Comments

Input Data C:\Users\Public\Documents\Documents\spss

sisa.sav

Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

Page 29: Data Spss Mini Riset

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 table are based on all the

cases with valid data in the specified range(s)

for all variables in each table.

Syntax CROSSTABS

/TABLES=aroma_LH rasa_LH warna_LH

tekstur_LH penampilan_LH BY sisa_LH_pagi

sisa_LH_siang sisa_LH_sore

/FORMAT=AVALUE TABLES

/STATISTICS=CHISQ CORR

/CELLS=COUNT

/COUNT ROUND CELL.

Resources Processor Time 0:00:00.016

Elapsed Time 0:00:00.020

Dimensions Requested 2

Cells Available 174762

[DataSet1] C:\Users\Public\Documents\Documents\spss sisa.sav

Case Processing Summary

Cases

Valid Missing Total

N Percent N Percent N Percent

aroma lauk hewani * sisa lauk

hewani pagi

30 100.0% 0 .0% 30 100.0%

aroma lauk hewani * sisa lauk

hewani siang

30 100.0% 0 .0% 30 100.0%

aroma lauk hewani * sisa lauk

hewani sore

30 100.0% 0 .0% 30 100.0%

rasa lauk hewani * sisa lauk hewani

pagi

30 100.0% 0 .0% 30 100.0%

rasa lauk hewani * sisa lauk hewani

siang

30 100.0% 0 .0% 30 100.0%

Page 30: Data Spss Mini Riset

rasa lauk hewani * sisa lauk hewani

sore

30 100.0% 0 .0% 30 100.0%

warna lauk hewani * sisa lauk

hewani pagi

30 100.0% 0 .0% 30 100.0%

warna lauk hewani * sisa lauk

hewani siang

30 100.0% 0 .0% 30 100.0%

warna lauk hewani * sisa lauk

hewani sore

30 100.0% 0 .0% 30 100.0%

tekstur lauk hewani * sisa lauk

hewani pagi

30 100.0% 0 .0% 30 100.0%

tekstur lauk hewani * sisa lauk

hewani siang

30 100.0% 0 .0% 30 100.0%

tekstur lauk hewani * sisa lauk

hewani sore

30 100.0% 0 .0% 30 100.0%

penampilan lauk hewani * sisa lauk

hewani pagi

30 100.0% 0 .0% 30 100.0%

penampilan lauk hewani * sisa lauk

hewani siang

30 100.0% 0 .0% 30 100.0%

penampilan lauk hewani * sisa lauk

hewani sore

30 100.0% 0 .0% 30 100.0%

aroma lauk hewani * sisa lauk hewani pagi

Crosstab

Count

sisa lauk hewani pagi

Totalsisa sedikit (<25%) sisa banyak (>25%)

aroma lauk hewani kurang baik 6 1 7

cukp baik 7 5 12

baik 5 6 11

Total 18 12 30

Page 31: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 2.912a 2 .233

Likelihood Ratio 3.180 2 .204

Linear-by-Linear Association 2.666 1 .103

N of Valid Cases 30

a. 4 cells (66,7%) have expected count less than 5. The minimum expected count is

2,80.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R .303 .161 1.684 .103c

Ordinal by Ordinal Spearman Correlation .298 .165 1.654 .109c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

aroma lauk hewani * sisa lauk hewani siang

Crosstab

Count

sisa lauk hewani siang

Totalsisa sedikit (<25%) sisa banyak (>25%)

aroma lauk hewani kurang baik 3 4 7

cukp baik 9 3 12

baik 7 4 11

Total 19 11 30

Page 32: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 1.968a 2 .374

Likelihood Ratio 1.952 2 .377

Linear-by-Linear Association .513 1 .474

N of Valid Cases 30

a. 4 cells (66,7%) have expected count less than 5. The minimum expected count is

2,57.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R -.133 .189 -.710 .484c

Ordinal by Ordinal Spearman Correlation -.120 .192 -.637 .529c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

aroma lauk hewani * sisa lauk hewani sore

Crosstab

Count

sisa lauk hewani sore

Totalsisa sedikit (<25%) sisa banyak (>25%)

aroma lauk hewani kurang baik 5 2 7

cukp baik 8 4 12

baik 4 7 11

Total 17 13 30

Page 33: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 2.956a 2 .228

Likelihood Ratio 2.981 2 .225

Linear-by-Linear Association 2.405 1 .121

N of Valid Cases 30

a. 3 cells (50,0%) have expected count less than 5. The minimum expected count is

3,03.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R .288 .172 1.591 .123c

Ordinal by Ordinal Spearman Correlation .295 .173 1.633 .114c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

rasa lauk hewani * sisa lauk hewani pagi

Crosstab

Count

sisa lauk hewani pagi

Totalsisa sedikit (<25%) sisa banyak (>25%)

rasa lauk hewani kurang baik 3 2 5

cukup baik 11 3 14

baik 4 7 11

Total 18 12 30

Page 34: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 4.573a 2 .102

Likelihood Ratio 4.682 2 .096

Linear-by-Linear Association 1.840 1 .175

N of Valid Cases 30

a. 3 cells (50,0%) have expected count less than 5. The minimum expected count is

2,00.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R .252 .186 1.377 .179c

Ordinal by Ordinal Spearman Correlation .278 .188 1.531 .137c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

rasa lauk hewani * sisa lauk hewani siang

Crosstab

Count

sisa lauk hewani siang

Totalsisa sedikit (<25%) sisa banyak (>25%)

rasa lauk hewani kurang baik 2 3 5

cukup baik 10 4 14

baik 7 4 11

Total 19 11 30

Page 35: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 1.568a 2 .457

Likelihood Ratio 1.527 2 .466

Linear-by-Linear Association .405 1 .525

N of Valid Cases 30

a. 3 cells (50,0%) have expected count less than 5. The minimum expected count is

1,83.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R -.118 .190 -.630 .534c

Ordinal by Ordinal Spearman Correlation -.100 .191 -.532 .599c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

rasa lauk hewani * sisa lauk hewani sore

Crosstab

Count

sisa lauk hewani sore

Totalsisa sedikit (<25%) sisa banyak (>25%)

rasa lauk hewani kurang baik 5 0 5

cukup baik 6 8 14

baik 6 5 11

Total 17 13 30

Page 36: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 4.931a 2 .085

Likelihood Ratio 6.774 2 .034

Linear-by-Linear Association 1.532 1 .216

N of Valid Cases 30

a. 3 cells (50,0%) have expected count less than 5. The minimum expected count is

2,17.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R .230 .156 1.250 .222c

Ordinal by Ordinal Spearman Correlation .199 .172 1.072 .293c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

warna lauk hewani * sisa lauk hewani pagi

Crosstab

Count

sisa lauk hewani pagi

Totalsisa sedikit (<25%) sisa banyak (>25%)

warna lauk hewani kurang baik 3 1 4

cukup baik 8 5 13

baik 7 6 13

Total 18 12 30

Page 37: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square .593a 2 .743

Likelihood Ratio .614 2 .736

Linear-by-Linear Association .552 1 .457

N of Valid Cases 30

a. 2 cells (33,3%) have expected count less than 5. The minimum expected count is

1,60.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R .138 .175 .737 .467c

Ordinal by Ordinal Spearman Correlation .133 .178 .712 .483c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

warna lauk hewani * sisa lauk hewani siang

Crosstab

Count

sisa lauk hewani siang

Totalsisa sedikit (<25%) sisa banyak (>25%)

warna lauk hewani kurang baik 3 1 4

cukup baik 6 7 13

baik 10 3 13

Total 19 11 30

Page 38: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 2.921a 2 .232

Likelihood Ratio 2.941 2 .230

Linear-by-Linear Association .492 1 .483

N of Valid Cases 30

a. 4 cells (66,7%) have expected count less than 5. The minimum expected count is

1,47.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R -.130 .173 -.695 .493c

Ordinal by Ordinal Spearman Correlation -.166 .176 -.891 .380c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

warna lauk hewani * sisa lauk hewani sore

Crosstab

Count

sisa lauk hewani sore

Totalsisa sedikit (<25%) sisa banyak (>25%)

warna lauk hewani kurang baik 1 3 4

cukup baik 7 6 13

baik 9 4 13

Total 17 13 30

Page 39: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 2.511a 2 .285

Likelihood Ratio 2.562 2 .278

Linear-by-Linear Association 2.315 1 .128

N of Valid Cases 30

a. 2 cells (33,3%) have expected count less than 5. The minimum expected count is

1,73.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R -.283 .171 -1.559 .130c

Ordinal by Ordinal Spearman Correlation -.272 .173 -1.496 .146c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

tekstur lauk hewani * sisa lauk hewani pagi

Crosstab

Count

sisa lauk hewani pagi

Totalsisa sedikit (<25%) sisa banyak (>25%)

tekstur lauk hewani kurang baik 4 3 7

cukup menarik 9 6 15

baik 5 3 8

Total 18 12 30

Page 40: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square .045a 2 .978

Likelihood Ratio .045 2 .978

Linear-by-Linear Association .043 1 .836

N of Valid Cases 30

a. 4 cells (66,7%) have expected count less than 5. The minimum expected count is

2,80.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R -.039 .182 -.204 .840c

Ordinal by Ordinal Spearman Correlation -.038 .182 -.204 .840c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

tekstur lauk hewani * sisa lauk hewani siang

Crosstab

Count

sisa lauk hewani siang

Totalsisa sedikit (<25%) sisa banyak (>25%)

tekstur lauk hewani kurang baik 4 3 7

cukup menarik 11 4 15

baik 4 4 8

Total 19 11 30

Page 41: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 1.374a 2 .503

Likelihood Ratio 1.381 2 .501

Linear-by-Linear Association .112 1 .738

N of Valid Cases 30

a. 3 cells (50,0%) have expected count less than 5. The minimum expected count is

2,57.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R .062 .192 .329 .745c

Ordinal by Ordinal Spearman Correlation .065 .195 .346 .732c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

tekstur lauk hewani * sisa lauk hewani sore

Crosstab

Count

sisa lauk hewani sore

Totalsisa sedikit (<25%) sisa banyak (>25%)

tekstur lauk hewani kurang baik 6 1 7

cukup menarik 7 8 15

baik 4 4 8

Total 17 13 30

Page 42: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 3.161a 2 .206

Likelihood Ratio 3.494 2 .174

Linear-by-Linear Association 1.733 1 .188

N of Valid Cases 30

a. 4 cells (66,7%) have expected count less than 5. The minimum expected count is

3,03.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R .244 .166 1.334 .193c

Ordinal by Ordinal Spearman Correlation .241 .170 1.314 .199c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

penampilan lauk hewani * sisa lauk hewani pagi

Crosstab

Count

sisa lauk hewani pagi

Totalsisa sedikit (<25%) sisa banyak (>25%)

penampilan lauk hewani kurang menarik 5 4 9

cukup menarik 6 6 12

menarik 7 2 9

Total 18 12 30

Page 43: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 1.759a 2 .415

Likelihood Ratio 1.845 2 .397

Linear-by-Linear Association .895 1 .344

N of Valid Cases 30

a. 3 cells (50,0%) have expected count less than 5. The minimum expected count is

3,60.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R -.176 .173 -.944 .353c

Ordinal by Ordinal Spearman Correlation -.176 .174 -.944 .353c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

penampilan lauk hewani * sisa lauk hewani siang

Crosstab

Count

sisa lauk hewani siang

Totalsisa sedikit (<25%) sisa banyak (>25%)

penampilan lauk hewani kurang menarik 6 3 9

cukup menarik 8 4 12

menarik 5 4 9

Total 19 11 30

Page 44: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square .335a 2 .846

Likelihood Ratio .331 2 .848

Linear-by-Linear Association .231 1 .631

N of Valid Cases 30

a. 3 cells (50,0%) have expected count less than 5. The minimum expected count is

3,30.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R .089 .184 .474 .639c

Ordinal by Ordinal Spearman Correlation .089 .184 .474 .639c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

penampilan lauk hewani * sisa lauk hewani sore

Crosstab

Count

sisa lauk hewani sore

Totalsisa sedikit (<25%) sisa banyak (>25%)

penampilan lauk hewani kurang menarik 4 5 9

cukup menarik 8 4 12

menarik 5 4 9

Total 17 13 30

Page 45: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 1.041a 2 .594

Likelihood Ratio 1.047 2 .592

Linear-by-Linear Association .219 1 .640

N of Valid Cases 30

a. 2 cells (33,3%) have expected count less than 5. The minimum expected count is

3,90.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R -.087 .185 -.461 .648c

Ordinal by Ordinal Spearman Correlation -.087 .186 -.461 .648c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

CROSSTABS /TABLES=aroma_LN rasa_LN warna_LN tekstur_LN penampilan_LN BY sisa_LN_pagi sisa_LN_siang sisa_LN_sore /FORMAT=AVALUE TABLES /STATISTICS=CHISQ CORR /CELLS=COUNT /COUNT ROUND CELL.

Crosstabs

Notes

Output Created 12-May-2014 10:19:41

Comments

Input Data C:\Users\Public\Documents\Documents\spss

sisa.sav

Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

Page 46: Data Spss Mini Riset

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 table are based on all the

cases with valid data in the specified range(s)

for all variables in each table.

Syntax CROSSTABS

/TABLES=aroma_LN rasa_LN warna_LN

tekstur_LN penampilan_LN BY sisa_LN_pagi

sisa_LN_siang sisa_LN_sore

/FORMAT=AVALUE TABLES

/STATISTICS=CHISQ CORR

/CELLS=COUNT

/COUNT ROUND CELL.

Resources Processor Time 0:00:00.015

Elapsed Time 0:00:00.023

Dimensions Requested 2

Cells Available 174762

[DataSet1] C:\Users\Public\Documents\Documents\spss sisa.sav

Case Processing Summary

Cases

Valid Missing Total

N Percent N Percent N Percent

aroma lauk nabati * sisa lauk nabati

pagi

30 100.0% 0 .0% 30 100.0%

aroma lauk nabati * sisa lauk nabati

siang

30 100.0% 0 .0% 30 100.0%

aroma lauk nabati * sisa lauk nabati

sore

30 100.0% 0 .0% 30 100.0%

rasa lauk nabati * sisa lauk nabati

pagi

30 100.0% 0 .0% 30 100.0%

rasa lauk nabati * sisa lauk nabati

siang

30 100.0% 0 .0% 30 100.0%

Page 47: Data Spss Mini Riset

rasa lauk nabati * sisa lauk nabati

sore

30 100.0% 0 .0% 30 100.0%

warna lauk nabati * sisa lauk nabati

pagi

30 100.0% 0 .0% 30 100.0%

warna lauk nabati * sisa lauk nabati

siang

30 100.0% 0 .0% 30 100.0%

warna lauk nabati * sisa lauk nabati

sore

30 100.0% 0 .0% 30 100.0%

tekstur lauk nabati * sisa lauk

nabati pagi

30 100.0% 0 .0% 30 100.0%

tekstur lauk nabati * sisa lauk

nabati siang

30 100.0% 0 .0% 30 100.0%

tekstur lauk nabati * sisa lauk

nabati sore

30 100.0% 0 .0% 30 100.0%

penampilan lauk nabati * sisa lauk

nabati pagi

30 100.0% 0 .0% 30 100.0%

penampilan lauk nabati * sisa lauk

nabati siang

30 100.0% 0 .0% 30 100.0%

penampilan lauk nabati * sisa lauk

nabati sore

30 100.0% 0 .0% 30 100.0%

aroma lauk nabati * sisa lauk nabati pagi

Crosstab

Count

sisa lauk nabati pagi

Totalsisa sedikit (<25%) sisa banyak (>25%)

aroma lauk nabati kurang baik 7 2 9

cukup baik 4 7 11

baik 4 6 10

Total 15 15 30

Page 48: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 3.996a 2 .136

Likelihood Ratio 4.173 2 .124

Linear-by-Linear Association 2.497 1 .114

N of Valid Cases 30

a. 2 cells (33,3%) have expected count less than 5. The minimum expected count is

4,50.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R .293 .170 1.624 .116c

Ordinal by Ordinal Spearman Correlation .290 .174 1.605 .120c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

aroma lauk nabati * sisa lauk nabati siang

Crosstab

Count

sisa lauk nabati siang

Totalsisa sedikt (<25%) sisa banyak (>25%)

aroma lauk nabati kurang baik 4 5 9

cukup baik 7 4 11

baik 6 4 10

Total 17 13 30

Page 49: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square .810a 2 .667

Likelihood Ratio .808 2 .668

Linear-by-Linear Association .426 1 .514

N of Valid Cases 30

a. 3 cells (50,0%) have expected count less than 5. The minimum expected count is

3,90.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R -.121 .183 -.646 .523c

Ordinal by Ordinal Spearman Correlation -.120 .183 -.637 .529c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

aroma lauk nabati * sisa lauk nabati sore

Crosstab

Count

sisa lauk nabati sore

Totalsisa sedikit (<25%) sisa banyak (>25%)

aroma lauk nabati kurang baik 5 4 9

cukup baik 8 3 11

baik 4 6 10

Total 17 13 30

Page 50: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 2.291a 2 .318

Likelihood Ratio 2.337 2 .311

Linear-by-Linear Association .509 1 .475

N of Valid Cases 30

a. 3 cells (50,0%) have expected count less than 5. The minimum expected count is

3,90.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R .133 .185 .708 .485c

Ordinal by Ordinal Spearman Correlation .136 .188 .727 .473c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

rasa lauk nabati * sisa lauk nabati pagi

Crosstab

Count

sisa lauk nabati pagi

Totalsisa sedikit (<25%) sisa banyak (>25%)

rasa lauk nabati kurang baik 6 4 10

cukup baik 4 8 12

baik 5 3 8

Total 15 15 30

Page 51: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 2.233a 2 .327

Likelihood Ratio 2.267 2 .322

Linear-by-Linear Association .000 1 1.000

N of Valid Cases 30

a. 2 cells (33,3%) have expected count less than 5. The minimum expected count is

4,00.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R .000 .183 .000 1.000c

Ordinal by Ordinal Spearman Correlation .008 .187 .043 .966c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

rasa lauk nabati * sisa lauk nabati siang

Crosstab

Count

sisa lauk nabati siang

Totalsisa sedikt (<25%) sisa banyak (>25%)

rasa lauk nabati kurang baik 8 2 10

cukup baik 7 5 12

baik 2 6 8

Total 17 13 30

Page 52: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 5.498a 2 .064

Likelihood Ratio 5.748 2 .056

Linear-by-Linear Association 5.219 1 .022

N of Valid Cases 30

a. 3 cells (50,0%) have expected count less than 5. The minimum expected count is

3,47.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R .424 .157 2.479 .019c

Ordinal by Ordinal Spearman Correlation .422 .157 2.465 .020c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

rasa lauk nabati * sisa lauk nabati sore

Crosstab

Count

sisa lauk nabati sore

Totalsisa sedikit (<25%) sisa banyak (>25%)

rasa lauk nabati kurang baik 9 1 10

cukup baik 5 7 12

baik 3 5 8

Total 17 13 30

Page 53: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 6.821a 2 .033

Likelihood Ratio 7.667 2 .022

Linear-by-Linear Association 5.219 1 .022

N of Valid Cases 30

a. 3 cells (50,0%) have expected count less than 5. The minimum expected count is

3,47.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R .424 .153 2.479 .019c

Ordinal by Ordinal Spearman Correlation .431 .155 2.524 .018c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

warna lauk nabati * sisa lauk nabati pagi

Crosstab

Count

sisa lauk nabati pagi

Totalsisa sedikit (<25%) sisa banyak (>25%)

warna lauk nabati kurang baik 1 5 6

cukup baik 10 6 16

baik 4 4 8

Total 15 15 30

Page 54: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 3.667a 2 .160

Likelihood Ratio 3.922 2 .141

Linear-by-Linear Association 1.115 1 .291

N of Valid Cases 30

a. 4 cells (66,7%) have expected count less than 5. The minimum expected count is

3,00.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R -.196 .174 -1.058 .299c

Ordinal by Ordinal Spearman Correlation -.187 .182 -1.007 .323c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

warna lauk nabati * sisa lauk nabati siang

Crosstab

Count

sisa lauk nabati siang

Totalsisa sedikt (<25%) sisa banyak (>25%)

warna lauk nabati kurang baik 2 4 6

cukup baik 9 7 16

baik 6 2 8

Total 17 13 30

Page 55: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 2.426a 2 .297

Likelihood Ratio 2.488 2 .288

Linear-by-Linear Association 2.333 1 .127

N of Valid Cases 30

a. 4 cells (66,7%) have expected count less than 5. The minimum expected count is

2,60.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R -.284 .169 -1.565 .129c

Ordinal by Ordinal Spearman Correlation -.283 .169 -1.560 .130c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

warna lauk nabati * sisa lauk nabati sore

Crosstab

Count

sisa lauk nabati sore

Totalsisa sedikit (<25%) sisa banyak (>25%)

warna lauk nabati kurang baik 4 2 6

cukup baik 12 4 16

baik 1 7 8

Total 17 13 30

Page 56: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 8.790a 2 .012

Likelihood Ratio 9.393 2 .009

Linear-by-Linear Association 4.850 1 .028

N of Valid Cases 30

a. 4 cells (66,7%) have expected count less than 5. The minimum expected count is

2,60.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R .409 .166 2.371 .025c

Ordinal by Ordinal Spearman Correlation .420 .173 2.449 .021c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

tekstur lauk nabati * sisa lauk nabati pagi

Crosstab

Count

sisa lauk nabati pagi

Totalsisa sedikit (<25%) sisa banyak (>25%)

tekstur lauk nabati kurang baik 4 3 7

cukup baik 8 8 16

baik 3 4 7

Total 15 15 30

Page 57: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square .286a 2 .867

Likelihood Ratio .287 2 .866

Linear-by-Linear Association .276 1 .599

N of Valid Cases 30

a. 4 cells (66,7%) have expected count less than 5. The minimum expected count is

3,50.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R .098 .181 .519 .608c

Ordinal by Ordinal Spearman Correlation .098 .181 .519 .608c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

tekstur lauk nabati * sisa lauk nabati siang

Crosstab

Count

sisa lauk nabati siang

Totalsisa sedikt (<25%) sisa banyak (>25%)

tekstur lauk nabati kurang baik 3 4 7

cukup baik 9 7 16

baik 5 2 7

Total 17 13 30

Page 58: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 1.166a 2 .558

Likelihood Ratio 1.187 2 .552

Linear-by-Linear Association 1.125 1 .289

N of Valid Cases 30

a. 4 cells (66,7%) have expected count less than 5. The minimum expected count is

3,03.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R -.197 .175 -1.063 .297c

Ordinal by Ordinal Spearman Correlation -.197 .175 -1.063 .297c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

tekstur lauk nabati * sisa lauk nabati sore

Crosstab

Count

sisa lauk nabati sore

Totalsisa sedikit (<25%) sisa banyak (>25%)

tekstur lauk nabati kurang baik 4 3 7

cukup baik 8 8 16

baik 5 2 7

Total 17 13 30

Page 59: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square .911a 2 .634

Likelihood Ratio .937 2 .626

Linear-by-Linear Association .281 1 .596

N of Valid Cases 30

a. 4 cells (66,7%) have expected count less than 5. The minimum expected count is

3,03.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R -.098 .177 -.524 .605c

Ordinal by Ordinal Spearman Correlation -.098 .179 -.524 .605c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

penampilan lauk nabati * sisa lauk nabati pagi

Crosstab

Count

sisa lauk nabati pagi

Totalsisa sedikit (<25%) sisa banyak (>25%)

penampilan lauk nabati kurang menarik 2 4 6

cukup menarik 8 8 16

menarik 5 3 8

Total 15 15 30

Page 60: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 1.167a 2 .558

Likelihood Ratio 1.185 2 .553

Linear-by-Linear Association 1.115 1 .291

N of Valid Cases 30

a. 4 cells (66,7%) have expected count less than 5. The minimum expected count is

3,00.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R -.196 .176 -1.058 .299c

Ordinal by Ordinal Spearman Correlation -.195 .176 -1.054 .301c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

penampilan lauk nabati * sisa lauk nabati siang

Crosstab

Count

sisa lauk nabati siang

Totalsisa sedikt (<25%) sisa banyak (>25%)

penampilan lauk nabati kurang menarik 4 2 6

cukup menarik 10 6 16

menarik 3 5 8

Total 17 13 30

Page 61: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 1.663a 2 .435

Likelihood Ratio 1.661 2 .436

Linear-by-Linear Association 1.292 1 .256

N of Valid Cases 30

a. 4 cells (66,7%) have expected count less than 5. The minimum expected count is

2,60.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R .211 .178 1.143 .263c

Ordinal by Ordinal Spearman Correlation .214 .178 1.161 .256c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

penampilan lauk nabati * sisa lauk nabati sore

Crosstab

Count

sisa lauk nabati sore

Totalsisa sedikit (<25%) sisa banyak (>25%)

penampilan lauk nabati kurang menarik 3 3 6

cukup menarik 9 7 16

menarik 5 3 8

Total 17 13 30

Page 62: Data Spss Mini Riset

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square .221a 2 .896

Likelihood Ratio .221 2 .895

Linear-by-Linear Association .213 1 .644

N of Valid Cases 30

a. 4 cells (66,7%) have expected count less than 5. The minimum expected count is

2,60.

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R -.086 .181 -.455 .652c

Ordinal by Ordinal Spearman Correlation -.086 .181 -.455 .652c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

CROSSTABS /TABLES=aroma_sayur rasa_sayur warna_sayur tekstur_sayur penampilan_sayur BY sisa_sayur_pagi sisa_sayur_siang sisa_sayur_sore /FORMAT=AVALUE TABLES /STATISTICS=CHISQ CORR /CELLS=COUNT /COUNT ROUND CELL.

Crosstabs

Notes

Output Created 12-May-2014 10:21:54

Comments

Input Data C:\Users\Public\Documents\Documents\spss

sisa.sav

Active Dataset DataSet1

Filter <none>

Weight <none>

Page 63: Data Spss Mini Riset

Split File <none>

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 table are based on all the

cases with valid data in the specified range(s)

for all variables in each table.

Syntax CROSSTABS

/TABLES=aroma_sayur rasa_sayur

warna_sayur tekstur_sayur penampilan_sayur

BY sisa_sayur_pagi sisa_sayur_siang

sisa_sayur_sore

/FORMAT=AVALUE TABLES

/STATISTICS=CHISQ CORR

/CELLS=COUNT

/COUNT ROUND CELL.

Resources Processor Time 0:00:00.032

Elapsed Time 0:00:00.025

Dimensions Requested 2

Cells Available 174762

[DataSet1] C:\Users\Public\Documents\Documents\spss sisa.sav

Case Processing Summary

Cases

Valid Missing Total

N Percent N Percent N Percent

aroma sayur * sisa sayur pagi 30 100.0% 0 .0% 30 100.0%

aroma sayur * sisa sayur siang 30 100.0% 0 .0% 30 100.0%

aroma sayur * sisa sayur sore 30 100.0% 0 .0% 30 100.0%

rasa sayur * sisa sayur pagi 30 100.0% 0 .0% 30 100.0%

rasa sayur * sisa sayur siang 30 100.0% 0 .0% 30 100.0%

rasa sayur * sisa sayur sore 30 100.0% 0 .0% 30 100.0%

warna sayur * sisa sayur pagi 30 100.0% 0 .0% 30 100.0%

warna sayur * sisa sayur siang 30 100.0% 0 .0% 30 100.0%

Page 64: Data Spss Mini Riset

warna sayur * sisa sayur sore 30 100.0% 0 .0% 30 100.0%

tekstur sayur * sisa sayur pagi 30 100.0% 0 .0% 30 100.0%

tekstur sayur * sisa sayur siang 30 100.0% 0 .0% 30 100.0%

tekstur sayur * sisa sayur sore 30 100.0% 0 .0% 30 100.0%

penampilan sayur * sisa sayur pagi 30 100.0% 0 .0% 30 100.0%

penampilan sayur * sisa sayur

siang

30 100.0% 0 .0% 30 100.0%

penampilan sayur * sisa sayur sore 30 100.0% 0 .0% 30 100.0%

aroma sayur * sisa sayur pagi

Crosstab

Count

sisa sayur pagi

Totalsisa sedikit (<25%) sisa banyak (>25%)

aroma sayur kurang baik 5 3 8

cukup baik 8 6 14

baik 6 2 8

Total 19 11 30

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square .702a 2 .704

Likelihood Ratio .726 2 .696

Linear-by-Linear Association .260 1 .610

N of Valid Cases 30

a. 2 cells (33,3%) have expected count less than 5. The minimum expected count is

2,93.

Page 65: Data Spss Mini Riset

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R -.095 .175 -.503 .619c

Ordinal by Ordinal Spearman Correlation -.095 .176 -.503 .619c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

aroma sayur * sisa sayur siang

Crosstab

Count

sisa sayur siang

Totalsisa sedikit (<25%) sisa banyak (>25%)

aroma sayur kurang baik 1 7 8

cukup baik 8 6 14

baik 5 3 8

Total 14 16 30

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 5.175a 2 .075

Likelihood Ratio 5.721 2 .057

Linear-by-Linear Association 3.884 1 .049

N of Valid Cases 30

a. 4 cells (66,7%) have expected count less than 5. The minimum expected count is

3,73.

Page 66: Data Spss Mini Riset

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R -.366 .158 -2.081 .047c

Ordinal by Ordinal Spearman Correlation -.366 .161 -2.081 .047c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

aroma sayur * sisa sayur sore

Crosstab

Count

sisa sayur sore

Totalsisa sedikit (<25%) sisa banyak (>25%)

aroma sayur kurang baik 4 4 8

cukup baik 9 5 14

baik 4 4 8

Total 17 13 30

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square .621a 2 .733

Likelihood Ratio .624 2 .732

Linear-by-Linear Association .000 1 1.000

N of Valid Cases 30

a. 4 cells (66,7%) have expected count less than 5. The minimum expected count is

3,47.

Page 67: Data Spss Mini Riset

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R .000 .186 .000 1.000c

Ordinal by Ordinal Spearman Correlation .000 .187 .000 1.000c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

rasa sayur * sisa sayur pagi

Crosstab

Count

sisa sayur pagi

Totalsisa sedikit (<25%) sisa banyak (>25%)

rasa sayur kurang baik 4 3 7

cukup baik 7 5 12

baik 8 3 11

Total 19 11 30

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square .663a 2 .718

Likelihood Ratio .677 2 .713

Linear-by-Linear Association .513 1 .474

N of Valid Cases 30

a. 4 cells (66,7%) have expected count less than 5. The minimum expected count is

2,57.

Page 68: Data Spss Mini Riset

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R -.133 .179 -.710 .484c

Ordinal by Ordinal Spearman Correlation -.137 .178 -.730 .471c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

rasa sayur * sisa sayur siang

Crosstab

Count

sisa sayur siang

Totalsisa sedikit (<25%) sisa banyak (>25%)

rasa sayur kurang baik 5 2 7

cukup baik 4 8 12

baik 5 6 11

Total 14 16 30

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 2.588a 2 .274

Likelihood Ratio 2.645 2 .266

Linear-by-Linear Association .775 1 .379

N of Valid Cases 30

a. 2 cells (33,3%) have expected count less than 5. The minimum expected count is

3,27.

Page 69: Data Spss Mini Riset

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R .163 .180 .877 .388c

Ordinal by Ordinal Spearman Correlation .149 .185 .795 .433c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

rasa sayur * sisa sayur sore

Crosstab

Count

sisa sayur sore

Totalsisa sedikit (<25%) sisa banyak (>25%)

rasa sayur kurang baik 5 2 7

cukup baik 8 4 12

baik 4 7 11

Total 17 13 30

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 2.956a 2 .228

Likelihood Ratio 2.981 2 .225

Linear-by-Linear Association 2.405 1 .121

N of Valid Cases 30

a. 3 cells (50,0%) have expected count less than 5. The minimum expected count is

3,03.

Page 70: Data Spss Mini Riset

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R .288 .172 1.591 .123c

Ordinal by Ordinal Spearman Correlation .295 .173 1.633 .114c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

warna sayur * sisa sayur pagi

Crosstab

Count

sisa sayur pagi

Totalsisa sedikit (<25%) sisa banyak (>25%)

warna sayur kurang baik 8 1 9

cukup baik 7 6 13

baik 4 4 8

Total 19 11 30

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 3.647a 2 .161

Likelihood Ratio 4.115 2 .128

Linear-by-Linear Association 2.781 1 .095

N of Valid Cases 30

a. 3 cells (50,0%) have expected count less than 5. The minimum expected count is

2,93.

Page 71: Data Spss Mini Riset

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R .310 .159 1.723 .096c

Ordinal by Ordinal Spearman Correlation .312 .161 1.738 .093c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

warna sayur * sisa sayur siang

Crosstab

Count

sisa sayur siang

Totalsisa sedikit (<25%) sisa banyak (>25%)

warna sayur kurang baik 3 6 9

cukup baik 6 7 13

baik 5 3 8

Total 14 16 30

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 1.450a 2 .484

Likelihood Ratio 1.468 2 .480

Linear-by-Linear Association 1.393 1 .238

N of Valid Cases 30

a. 4 cells (66,7%) have expected count less than 5. The minimum expected count is

3,73.

Page 72: Data Spss Mini Riset

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R -.219 .176 -1.189 .245c

Ordinal by Ordinal Spearman Correlation -.219 .176 -1.187 .245c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

warna sayur * sisa sayur sore

Crosstab

Count

sisa sayur sore

Totalsisa sedikit (<25%) sisa banyak (>25%)

warna sayur kurang baik 5 4 9

cukup baik 6 7 13

baik 6 2 8

Total 17 13 30

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 1.685a 2 .431

Likelihood Ratio 1.746 2 .418

Linear-by-Linear Association .569 1 .450

N of Valid Cases 30

a. 3 cells (50,0%) have expected count less than 5. The minimum expected count is

3,47.

Page 73: Data Spss Mini Riset

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R -.140 .175 -.749 .460c

Ordinal by Ordinal Spearman Correlation -.137 .178 -.733 .470c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

tekstur sayur * sisa sayur pagi

Crosstab

Count

sisa sayur pagi

Totalsisa sedikit (<25%) sisa banyak (>25%)

tekstur sayur kurang baik 2 4 6

cukup baik 9 5 14

baik 8 2 10

Total 19 11 30

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 3.527a 2 .171

Likelihood Ratio 3.534 2 .171

Linear-by-Linear Association 3.234 1 .072

N of Valid Cases 30

a. 3 cells (50,0%) have expected count less than 5. The minimum expected count is

2,20.

Page 74: Data Spss Mini Riset

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R -.334 .169 -1.875 .071c

Ordinal by Ordinal Spearman Correlation -.329 .168 -1.841 .076c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

tekstur sayur * sisa sayur siang

Crosstab

Count

sisa sayur siang

Totalsisa sedikit (<25%) sisa banyak (>25%)

tekstur sayur kurang baik 2 4 6

cukup baik 9 5 14

baik 3 7 10

Total 14 16 30

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 3.291a 2 .193

Likelihood Ratio 3.351 2 .187

Linear-by-Linear Association .189 1 .664

N of Valid Cases 30

a. 3 cells (50,0%) have expected count less than 5. The minimum expected count is

2,80.

Page 75: Data Spss Mini Riset

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R .081 .179 .428 .672c

Ordinal by Ordinal Spearman Correlation .100 .185 .533 .598c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

tekstur sayur * sisa sayur sore

Crosstab

Count

sisa sayur sore

Totalsisa sedikit (<25%) sisa banyak (>25%)

tekstur sayur kurang baik 6 0 6

cukup baik 7 7 14

baik 4 6 10

Total 17 13 30

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 5.973a 2 .050

Likelihood Ratio 8.186 2 .017

Linear-by-Linear Association 4.633 1 .031

N of Valid Cases 30

a. 3 cells (50,0%) have expected count less than 5. The minimum expected count is

2,60.

Page 76: Data Spss Mini Riset

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R .400 .141 2.307 .029c

Ordinal by Ordinal Spearman Correlation .387 .151 2.219 .035c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

penampilan sayur * sisa sayur pagi

Crosstab

Count

sisa sayur pagi

Totalsisa sedikit (<25%) sisa banyak (>25%)

penampilan sayur kurang menarik 5 4 9

cukup menarik 7 3 10

menarik 7 4 11

Total 19 11 30

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square .426a 2 .808

Likelihood Ratio .426 2 .808

Linear-by-Linear Association .113 1 .737

N of Valid Cases 30

a. 3 cells (50,0%) have expected count less than 5. The minimum expected count is

3,30.

Page 77: Data Spss Mini Riset

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R -.062 .186 -.330 .743c

Ordinal by Ordinal Spearman Correlation -.059 .186 -.315 .755c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

penampilan sayur * sisa sayur siang

Crosstab

Count

sisa sayur siang

Totalsisa sedikit (<25%) sisa banyak (>25%)

penampilan sayur kurang menarik 3 6 9

cukup menarik 4 6 10

menarik 7 4 11

Total 14 16 30

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 2.094a 2 .351

Likelihood Ratio 2.117 2 .347

Linear-by-Linear Association 1.839 1 .175

N of Valid Cases 30

a. 3 cells (50,0%) have expected count less than 5. The minimum expected count is

4,20.

Page 78: Data Spss Mini Riset

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R -.252 .175 -1.377 .180c

Ordinal by Ordinal Spearman Correlation -.254 .175 -1.390 .176c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

penampilan sayur * sisa sayur sore

Crosstab

Count

sisa sayur sore

Totalsisa sedikit (<25%) sisa banyak (>25%)

penampilan sayur kurang menarik 6 3 9

cukup menarik 5 5 10

menarik 6 5 11

Total 17 13 30

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square .568a 2 .753

Likelihood Ratio .576 2 .750

Linear-by-Linear Association .255 1 .614

N of Valid Cases 30

a. 3 cells (50,0%) have expected count less than 5. The minimum expected count is

3,90.

Page 79: Data Spss Mini Riset

Symmetric Measures

Value Asymp. Std. Errora Approx. Tb Approx. Sig.

Interval by Interval Pearson's R .094 .179 .498 .622c

Ordinal by Ordinal Spearman Correlation .091 .180 .482 .633c

N of Valid Cases 30

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.