Normalitas Parameter Mutu Produk Manisan Labu Kuning Kering
Normalitas Parameter Mutu Produk Manisan Labu Kuning Kering
Tests of Normality
,128 30 ,200 * ,943 30 ,112 ,124 30 ,200 * ,960 30 ,315 ,138 30 ,200* ,888 30 ,004 ,138 30 ,152 ,911 30 ,016 ,158 30 ,154 ,911 30 ,016 ,153 30 ,071 ,900 30 ,008 ,126 30 ,200 * ,937 30 ,077 ,105 30 ,200 * ,960 30 ,314 ,147 30 ,200* ,925 30 ,076 ,159 30 ,152 ,916 30 ,021 ,147 30 ,197 ,884 30 ,014 ,158 30 ,084 ,874 30 ,054 ,150 30 ,200* ,972 30 ,585 ,115 30 ,200 * ,942 30 ,106 ,152 30 ,096 ,927 30 ,040 ,117 30 ,200 * ,934 30 ,064 ,144 30 ,114 ,948 30 ,146 ,109 30 ,200 * ,956 30 ,247 jam jam ke-0 jam ke-1 jam ke-2 jam ke-3 jam ke-4 jam ke-5 jam ke-0 jam ke-1 jam ke-2 jam ke-3 jam ke-4 jam ke-5 jam ke-0 jam ke-1 jam ke-2 jam ke-3 jam ke-4 jam ke-5 aw kdr_air tekstur Statistic df Sig. Statistic df Sig.
Kolmogorov-Smirnov a
Shapiro-Wilk This is a lower bound of the true significance.
- .
Lilliefors Significance Correction a.
Deskriptif Parameter Mutu Produk Manisan Labu Kuning Kering Descriptives Statistic Std. Error aw Mean
,90411 ,008308 95% Confidence Lower Bound ,88772 Interval for Mean Upper Bound
,92051 5% Trimmed Mean ,91586 Median ,96050 Variance ,012
Std. Deviation ,111467 Minimum ,553 Maximum
1,002 Range ,449 Interquartile Range ,141 Skewness
- 1,414 ,181 Kurtosis 1,151 ,360 kdr_air Mean 47,6646 1,57226 95% Confidence Lower Bound 44,5621 Interval for Mean Upper Bound 50,7672 5% Trimmed Mean 48,2577 Median 50,4650
Variance 444,963 Std. Deviation 21,09414 Minimum 10,70 Maximum 72,60 Range 61,90 Interquartile Range 39,10 Skewness
- ,328 ,181 Kurtosis -1,411 ,360 tekstur Mean ,26824 ,020200 95% Confidence Lower Bound ,22838 Interval for Mean Upper Bound ,30810 5% Trimmed Mean ,23821 Median ,16220
Variance ,073 Std. Deviation ,271013 Minimum
,013 Maximum 1,471 Range 1,458 Interquartile Range
,282 Skewness 1,736 ,181 Kurtosis 3,344 ,360
- ,758** 1 -,156 ,150 ,423 * -,256
- ,042 ,150 -,242 1 ,087 -,103
- ,594** ,423* -,278 ,087
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30
30
30
30
30 ,852 ** -,631 ** 1 -,503 ** -,713 ** ,205 ,000 ,000 ,005 ,000 ,277
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30
30
30
30
,000 ,000 ,000 ,000 ,277
30
30
30
30
30
30
1 -,683 ** ,852 ** -,561 ** -,647 ** ,367 * ,000 ,000 ,001 ,000 ,046
Correlations
30
,001 ,000 ,005 ,005 ,321
Correlation is significant at the 0.01 level (2-tailed).
30
30 Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N suhu kelembaban intens_chy aw kdr_air hardness suhu kelembaban intens_chy aw kdr_air hardness
30
30
30
30
30
1 ,046 ,277 ,277 ,321 ,921
30 ,367 * -,205 ,205 -,187 ,019
30
30
30
30
30
,000 ,000 ,000 ,005 ,921
30
30
30
30
30
Correlation is significant at the 0.05 level (2-tailed).
30 Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N suhu kelembaban intens_chy aw kdr_air hardness suhu kelembaban intens_chy aw kdr_air hardness
Correlation is significant at the 0.01 level (2-tailed). **. Correlation is significant at the 0.05 level (2-tailed).
30
30
30
30
30 ,145 -,156 1 -,242 -,278 ,256 ,443 ,411 ,198 ,137 ,172
30
30
30
30
,000 ,411 ,428 ,020 ,172
30
30
30
30
30
30
30
1 -,758** ,145 -,042 -,594** ,177 ,000 ,443 ,824 ,001 ,349
Correlations
LAMPIRAN 2 Korelasi jam ke-0 Korelasi jam ke-1
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30
30
30
30
30
30
30
1 ,349 ,172 ,172 ,590 ,698
30 ,177 -,256 ,256 -,103 ,074
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30
30
,824 ,428 ,198 ,648 ,590
30
,001 ,020 ,137 ,648 ,698
1 ,074
30
30
30
30
30
30
- .
- .
- ,683 ** 1 -,631 ** ,635 ** ,598 ** -,205
- ,561 ** ,635 ** -,503 ** 1 ,500 ** -,187
- ,647 ** ,598 ** -,713 ** ,500 ** 1 ,019
- .
Korelasi Jam ke-2
Correlations
suhu kelembaban intens_chy aw kdr_air hardness suhu Pearson Correlation 1 -,825** ,855** -,366* -,516** ,382*
Sig. (2-tailed) ,000 ,000 ,046 ,004 ,037
N
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30
30
30
30
30 kelembaban Pearson Correlation 1 -,690** ,582** ,659 -,545** ** -,825**
Sig. (2-tailed) ,000 ,000 ,001 ,000 ,002
N
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30
30
30
30
30 intens_chy Pearson Correlation ,855** -,690** 1 -,407* -,470** ,478**
Sig. (2-tailed) ,000 ,000 ,026 ,009 ,008 N
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30
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30
30
30 aw Pearson Correlation
- ,366* ,582** -,407* 1 ,900 -,572** **
Sig. (2-tailed) ,046 ,001 ,026 ,000 ,001 N
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30
30
30
30
30 kdr_air Pearson Correlation -,516** ,659** -,470** ,900** 1 -,533**
Sig. (2-tailed) ,004 ,000 ,009 ,000 ,002 N
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30
30
30
30
30 hardness Pearson Correlation ,382* -,545** ,478** -,572** -,533**
1 Sig. (2-tailed) ,037 ,002 ,008 ,001 ,002
N
30
30
30
30
30
30 **. Correlation is significant at the 0.01 level (2-tailed).
- .
Correlation is significant at the 0.05 level (2-tailed).
Korelasi Jam ke-3
Correlations
kelembaban intens_chy aw kdr_air hardness suhu suhu Pearson Correlation 1 -,901** ,800** -,670** -,818** ,594**
Sig. (2-tailed) ,000 ,000 ,000 ,000 ,001
N
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30
30
30
30
30 1 -,794** ,779** ,878 -,572**
- kelembaban Pearson Correlation -,901** Sig. (2-tailed)
,000 ,000 ,000 ,000 ,001 N
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30
30
30
30
30 intens_chy Pearson Correlation ,800** -,794** 1 -,667** -,770** ,530**
Sig. (2-tailed) ,000 ,000 ,000 ,000 ,003
N
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30
30
30
30
30 aw Pearson Correlation -,670** ,779** -,667** 1 ,920 -,493** **
Sig. (2-tailed) ,000 ,000 ,000 ,000 ,006
N
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30
30
30
30
30 kdr_air Pearson Correlation
- ,818** ,878** -,770** ,920** 1 -,557**
Sig. (2-tailed) ,000 ,000 ,000 ,000 ,001
N
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30
30
30
30
30 hardness Pearson Correlation ,594** -,572** ,530** -,493** -,557**
1 Sig. (2-tailed) ,001 ,001 ,003 ,006 ,001 N
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30
30
30
30
30 **. Correlation is significant at the 0.01 level (2-tailed).
- ,820** 1 -,766** ,753** ,820** -,463*
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30
30
30
30
30
30 ,847** -,766** 1 -,748** -,778** ,263 ,000 ,000 ,000 ,000 ,160
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30
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30
,000 ,000 ,000 ,000 ,001
,000 ,000 ,000 ,000 ,010
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30
30
30
30
30
1 -,820** ,847** -,613** -,639** ,368* ,000 ,000 ,000 ,000 ,046
30
- ,613** ,753** -,748** 1 ,937** -,587**
- ,639** ,820** -,778** ,937** 1 -,563**
Correlation is significant at the 0.01 level (2-tailed). **. Correlation is significant at the 0.05 level (2-tailed).
30
Correlations
30 Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N suhu kelembaban intens_chy aw kdr_air hardness suhu kelembaban intens_chy aw kdr_air hardness
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30
30
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30
1 ,046 ,010 ,160 ,001 ,001
30 ,368* -,463* ,263 -,587** -,563**
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,000 ,000 ,000 ,000 ,001
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30
30
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30
- .
- ,958** 1 -,812** ,733** ,731 ** -,707**
- ,547** ,733** -,639** 1 ,930 ** -,768**
- ,542** ,731** -,620** ,930** 1 -,687**
30
Correlation is significant at the 0.01 level (2-tailed).
,000 ,000 ,000 ,000 ,000
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30
30 ,771** -,812** 1 -,639** -,620** ,507** ,000 ,000 ,000 ,000 ,004
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30
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1 -,958** ,771** -,547** -,542** ,596** ,000 ,000 ,002 ,002 ,001
Correlations
Korelasi Jam ke-4 Korelasi Jam ke-5
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30
30 Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N suhu kelembaban intens_chy aw kdr_air hardness suhu kelembaban intens_chy aw kdr_air hardness
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30
30
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30
1 ,001 ,000 ,004 ,000 ,000
30 ,596** -,707** ,507** -,768** -,687**
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,002 ,000 ,000 ,000 ,000
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30
30
30
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30
,002 ,000 ,000 ,000 ,000
- .
Korelasi Pengeringan Selama 5 jam
Correlations
waktu suhu klmbbn intens_chy aw kdr_air hardness waktu Pearson Correlation1 ,294** -,592** -,055 -,709** -,773** ,797** Sig. (2-tailed) ,000 ,000 ,460 ,000 ,000 ,000 N
180 180 180 180 180 180 180 suhu Pearson Correlation ,294** 1 -,763** ,713** -,426** -,535** ,324** Sig. (2-tailed) ,000 ,000 ,000 ,000 ,000 ,000
N 180 180 180 180 180 180 180 klmbbn Pearson Correlation
- ,592** -,763** 1 -,403** ,743** ,763** -,704** Sig. (2-tailed) ,000 ,000 ,000 ,000 ,000 ,000 N 180 180 180 180 180 180 180 intens_chy Pearson Correlation -,055 ,713** -,403**
1 -,225** -,309** ,007 Sig. (2-tailed) ,460 ,000 ,000 ,002 ,000 ,922 N 180 180 180 180 180 180 180 aw Pearson Correlation -,709** -,426** ,743** -,225** 1 ,931** -,831** Sig. (2-tailed)
,000 ,000 ,000 ,002 ,000 ,000 N 180 180 180 180 180 180 180 kdr_air Pearson Correlation -,773** -,535** ,763** -,309** ,931**
1 -,775** Sig. (2-tailed) ,000 ,000 ,000 ,000 ,000 ,000 N
180 180 180 180 180 180 180 hardness Pearson Correlation ,797** ,324** -,704** ,007 -,831** -,775**
1 Sig. (2-tailed) ,000 ,000 ,000 ,922 ,000 ,000 N 180 180 180 180 180 180 180 **. Correlation is significant at the 0.01 level (2-tailed).
LAMPIRAN 3 REGRESI SPSS Kadar Air
Model Summary
Adjusted Std. Error of Model R R Square R Square the Estimate
a
1 ,883 ,779 ,774 9,958413 a.
Predictors: (Constant), intens_chy, waktu, klmbbn, suhu
b ANOVA Sum of Model Squares df Mean Square F Sig. a
1 Regression 61338,986 4 15334,746 154,631 ,000 Residual 17354,750 175 99,170
Total 78693,736 179 a.
Predictors: (Constant), intens_chy, waktu, klmbbn, suhu b. Dependent Variable: kdr_air a Coefficients
Unstandardized Standardized Coefficients Coefficients Model B Std. Error Beta t Sig.
1 (Constant) 167,022 26,221 6,370 ,000 waktu
- 7,154 ,588 -,584 -12,158 ,000 suhu
,223 ,095 ,177 2,342 ,020 klmbbn ,670 ,106 ,435 6,331 ,000 intens_chy
- ,018 ,003 -,292 -5,274 ,000 a.
Dependent Variable: kdr_air
a Residuals Statistics
Minimum Maximum Mean Std. Deviation N Predicted Value 11,39207 88,98073 48,21592 18,429671 180 Residual
- 20,4882 24,655922 ,000000 9,998852 180 Std. Predicted Value -1,998 2,212 ,000 1,000 180 Std. Residual -2,026 2,438 ,000 ,989 180 a.
Dependent Variable: kdr_air
Aw Model Summary
Adjusted Std. Error of Model R R Square R Square the Estimate
a
1 ,843 ,710 ,704 ,061624 a.
Predictors: (Constant), intens_chy, waktu, klmbbn, suhu
b ANOVA Sum of Model Squares df Mean Square F Sig. a
1 Regression 1,630 4 ,408 107,339 ,000 Residual ,665 175 ,004 Total 2,295 179 a. Predictors: (Constant), intens_chy, waktu, klmbbn, suhu b. Dependent Variable: aw a Coefficients
Unstandardized Standardized Coefficients Coefficients Model B Std. Error Beta t Sig. 1 (Constant) 1,215 ,162 7,489 ,000 waktu
- ,029 ,004 -,432 -7,850 ,000 suhu ,003 ,001 ,440 5,094 ,000 klmbbn ,006 ,001 ,712 9,057 ,000 intens_chy
- 9,3E-005 ,000 -,275 -4,339 ,000 a.
Dependent Variable: aw Hardness
Model Summary
Adjusted Std. Error of Model R R Square R Square the Estimate
a
1 ,870 ,757 ,752 ,135045 a.
Predictors: (Constant), intens_chy, waktu, klmbbn, suhu
b ANOVA
Sum of Model Squares df Mean Square F Sig.
a
1 Regression 9,955 4 2,489 136,468 ,000
Residual 3,191 175 ,018
Total 13,147 179 a.
Predictors: (Constant), intens_chy, waktu, klmbbn, suhu b. Dependent Variable: hardness
a Coefficients
Unstandardized Standardized Coefficients Coefficients Model B Std. Error Beta t Sig.
1 (Constant) 1,018 ,356 2,862 ,005 waktu ,081 ,008 ,509 10,104 ,000 suhu -,005 ,001 -,322 -4,073 ,000 klmbbn
- ,013 ,001 -,647 -8,980 ,000 intens_chy
3,40E-006 ,000 ,004 ,073 ,942 a. Dependent Variable: hardness
LAMPIRAN 4 REGRESI MINITAB 13.2
MINITAB 13.2 FOR WINDOWS
————— 13/10/2008 12:31:07 ———————————————————— * NOTE * Command canceled. Regression Analysis: air versus waktu; suhu; kelemb; intens The regression equation is air = 167 - 7,15 waktu + 0,223 suhu + 0,670 kelemb - 0,0182 intens Predictor Coef SE Coef T P Constant 167,02 26,22 6,37 0,000 waktu -7,1541 0,5884 -12,16 0,000 suhu 0,22283 0,09513 2,34 0,020 kelemb 0,6701 0,1058 6,33 0,000 intens -0,018181 0,003447 -5,27 0,000 S = 9,958 R-Sq = 77,9% R-Sq(adj) = 77,4% Analysis of Variance Source DF SS MS F P Regression 4 61339 15335 154,63 0,000 Residual Error 175 17355 99 Total 179 78694 Regression Analysis: air versus waktu; suhu; kelemb; intens The regression equation is air = 167 - 7,15 waktu + 0,223 suhu + 0,670 kelemb - 0,0182 intens Predictor Coef SE Coef T P Constant 167,02 26,22 6,37 0,000 waktu -7,1541 0,5884 -12,16 0,000 suhu 0,22283 0,09513 2,34 0,020 kelemb 0,6701 0,1058 6,33 0,000 intens -0,018181 0,003447 -5,27 0,000 S = 9,958 R-Sq = 77,9% R-Sq(adj) = 77,4% Analysis of Variance Source DF SS MS F P Regression 4 61339 15335 154,63 0,000 Residual Error 175 17355 99 Total 179 78694 Source DF Seq SS waktu 1 47070 suhu 1 8139 kelemb 1 3371 intens 1 2758 Unusual Observations Obs waktu air Fit SE Fit Residual St Resid
118 4,00 15,833 36,226 0,993 -20,393 -2,06R
120 4,00 17,733 38,390 1,015 -20,657 -2,09R 160 6,00 48,100 23,805 1,365 24,295 2,46R 161 6,00 47,833 23,496 1,354 24,337 2,47R 162 6,00 46,800 26,223 1,529 20,577 2,09R 166 6,00 59,700 55,664 3,396 4,036 0,43 X 167 6,00 62,867 55,700 3,396 7,167 0,77 X 168 6,00 60,600 53,264 3,436 7,336 0,78 X R denotes an observation with a large standardized residual X denotes an observation whose X value gives it large influence.
Regression Analysis: hardness versus waktu; suhu; kelemb; intens The regression equation is
hardness = 1,02 + 0,0806 waktu - 0,00525 suhu - 0,0129 kelemb +0,000003 intens
Predictor Coef SE Coef T P Constant 1,0177 0,3556 2,86 0,005 waktu 0,080622 0,007979 10,10 0,000 suhu -0,005254 0,001290 -4,07 0,000 kelemb -0,012889 0,001435 -8,98 0,000 intens 0,00000340 0,00004675 0,07 0,942 S = 0,1350 R-Sq = 75,7% R-Sq(adj) = 75,2% Analysis of Variance Source DF SS MS F P Regression 4 9,9551 2,4888 136,47 0,000 Residual Error 175 3,1915 0,0182 Total 179 13,1466 Regression Analysis: aw versus waktu; suhu; kelemb; intens The regression equation is aw = 1,22 - 0,0286 waktu + 0,00300 suhu + 0,00593 kelemb -0,000093 intens Predictor Coef SE Coef T P Constant 1,2152 0,1623 7,49 0,000 waktu -0,028581 0,003641 -7,85 0,000 suhu 0,0029987 0,0005887 5,09 0,000 kelemb 0,0059318 0,0006550 9,06 0,000 intens -0,00009255 0,00002133 -4,34 0,000 S = 0,06162 R-Sq = 71,0% R-Sq(adj) = 70,4% Analysis of Variance Source DF SS MS F P Regression 4 1,63048 0,40762 107,34 0,000 Residual Error 175 0,66456 0,00380 Total 179 2,29505Regression Analysis: aw versus waktu; suhu; kelemb; intens The regression equation is aw = 1,22 - 0,0286 waktu + 0,00300 suhu + 0,00593 kelemb -0,000093 intens Predictor Coef SE Coef T P Constant 1,2152 0,1623 7,49 0,000 waktu -0,028581 0,003641 -7,85 0,000 suhu 0,0029987 0,0005887 5,09 0,000 kelemb 0,0059318 0,0006550 9,06 0,000 intens -0,00009255 0,00002133 -4,34 0,000 S = 0,06162 R-Sq = 71,0% R-Sq(adj) = 70,4% Analysis of Variance Source DF SS MS F P Regression 4 1,63048 0,40762 107,34 0,000 Residual Error 175 0,66456 0,00380 Total 179 2,29505 Source DF Seq SS waktu 1 1,15437 suhu 1 0,11955 kelemb 1 0,28508 intens 1 0,07148 Unusual Observations Obs waktu aw Fit SE Fit Residual St Resid 19 1,00 0,99100 1,11617 0,01258 -0,12517 -2,07R 20 1,00 0,99400 1,11533 0,01257 -0,12133 -2,01R 21 1,00 1,00000 1,12357 0,01284 -0,12357 -2,05R 119 4,00 0,67900 0,83354 0,00628 -0,15454 -2,52R 146 5,00 0,62800 0,82810 0,00774 -0,20010 -3,27R 147 5,00 0,65400 0,84421 0,00907 -0,19021 -3,12R 148 5,00 0,62900 0,80461 0,00725 -0,17561 -2,87R 149 5,00 0,66000 0,80359 0,00738 -0,14359 -2,35R 150 5,00 0,63500 0,80970 0,00672 -0,17470 -2,85R 160 6,00 0,93100 0,77318 0,00845 0,15782 2,59R 161 6,00 0,93000 0,77161 0,00838 0,15839 2,59R 162 6,00 0,92400 0,78549 0,00946 0,13851 2,27R 166 6,00 0,96500 0,97711 0,02102 -0,01211 -0,21 X 167 6,00 0,96600 0,97729 0,02102 -0,01129 -0,19 X 168 6,00 0,95300 0,96489 0,02126 -0,01189 -0,21 X R denotes an observation with a large standardized residual X denotes an observation whose X value gives it large influence.
Regression Analysis: hardness versus waktu; suhu; kelemb; intens The regression equation is
hardness = 1,02 + 0,0806 waktu - 0,00525 suhu - 0,0129 kelemb +0,000003 intens
Predictor Coef SE Coef T P Constant 1,0177 0,3556 2,86 0,005 waktu 0,080622 0,007979 10,10 0,000 suhu -0,005254 0,001290 -4,07 0,000 kelemb -0,012889 0,001435 -8,98 0,000S = 0,1350 R-Sq = 75,7% R-Sq(adj) = 75,2% Analysis of Variance Source DF SS MS F P Regression 4 9,9551 2,4888 136,47 0,000 Residual Error 175 3,1915 0,0182 Total 179 13,1466 Source DF Seq SS waktu 1 8,3560 suhu 1 0,1158 kelemb 1 1,4833 intens 1 0,0001 Unusual Observations Obs waktu hardness Fit SE Fit Residual St Resid
19 1,00 0,0390 -0,2260 0,0276 0,2650 2,00R
144 5,00 0,7470 0,4713 0,0175 0,2757 2,06R
159 6,00 1,1110 0,7550 0,0267 0,3560 2,69R
166 6,00 0,2490 0,2117 0,0461 0,0373 0,29 X
167 6,00 0,1970 0,2117 0,0461 -0,0147 -0,12 X
168 6,00 0,2650 0,2122 0,0466 0,0528 0,42 X
170 6,00 0,7490 0,4708 0,0225 0,2782 2,09R
173 6,00 1,0290 0,7391 0,0283 0,2899 2,19R
177 6,00 1,4710 0,8128 0,0310 0,6582 5,01R
179 6,00 1,3670 0,7924 0,0296 0,5746 4,36R
R denotes an observation with a large standardized residual X denotes an observation whose X value gives it large influence.LAMPIRAN 5 (SNI 01-3710-1995) No Kriteria Uji Satuan Persyaratan
1 Keadaan :
- 1.1 Penampakan Normal -
1.2 Bau Normal
- 1.3 Rasa
Normal 2 Air b/b Maks.
31
3 Bahan Tambahan Makanan
- 3.1 Pemanis buatan (sakarin, siklamat) Negatif
3.2 Pewarna Sesuai SNI 01-0222-1987
3.3 Pengawet Sesuai SNI 01-0222-1987
4 Cemaran Logam :
4.1 Timbal (Pb) mg/kg Maks 2.0
4.2 Tembaga (Cu) mg/kg Maks 5.0
4.3 Seng (Zn) mg/kg Maks 40.0
4.4 Timah (Sn) mg/kg Maks 40.0/2SI**
4.5 Raksa (Hg) mg/kg Maks 0.03
5 Cemaran Arsen (As) mg/kg Maks 1.0
6 Cemaran Mikroba :
6.1 E.Coli APM/g < 3
- Khusus untuk produk yang dikemas dalam kaleng
LAMPIRAN 6. Kuesioner
UJI RANKING
Nama : Tanggal : Produk : Manisan Labu Kuning Kriteria : Tekstur Instruksi :
Dihadapan Anda terdapat 8 sampel manisan labu kuning. Lakukan pengujian terhadap
kriteria tekstur. Setelah itu, berikan penilaian Anda dengan memasukkan kode sampel
pada kotak kode sampel.
Kode sampel Nilai
Ket : 1. Tidak suka2. Agak suka
3. Suka
4. Sangat suka
5. Sangat suka sekali
KUESIONER
Nama : Tanggal : Produk : Manisan Labu Kuning Kriteria : Warna Instruksi :Dihadapan Anda terdapat 8 sampel manisan labu kuning. Lakukan pengujian terhadap
kriteria warna. Setelah itu, berikan penilaian Anda dengan memasukkan kode sampel
pada kotak kode sampel.
Kode sampel Nilai
Ket : 1. Tidak suka2. Agak suka
3. Suka
4. Sangat suka
5. Sangat suka sekali
KUESIONER UJI RANKING
Nama : Tanggal : Produk : Manisan Labu Kuning Kriteria : Aroma Instruksi :
Dihadapan Anda terdapat 6 sampel manisan labu kuning. Lakukan pengujian terhadap
kriteria aroma. Setelah itu, berikan penilaian Anda dengan memasukkan kode sampel
pada kotak kode sampel.Kode sampel Nilai Ket : 1. Tidak suka
2. Agak suka
3. Suka
4. Sangat suka
5. Sangat suka sekali
KUESIONER UJI RANKING
Nama : Tanggal : Produk : Manisan Labu Kuning Kriteria : Warna Instruksi :
Dihadapan Anda terdapat 6 sampel manisan labu kuning. Lakukan pengujian terhadap
kriteria warna. Setelah itu, berikan penilaian Anda dengan memasukkan kode sampel
pada kotak kode sampel.Kode sampel Nilai Ket : 1. Tidak suka
2. Agak suka
3. Suka
4. Sangat suka
5. Sangat suka sekali
KUESIONER UJI RANKING
Nama : Tanggal : Produk : Manisan Labu Kuning Kriteria : Overall Instruksi :
Dihadapan Anda terdapat 6 sampel manisan labu kuning. Lakukan pengujian terhadap
kriteria secara keseluruhan. Setelah itu, berikan penilaian Anda dengan memasukkan
kode sampel pada kotak kode sampel.
Kode sampel Nilai
Ket : 1. Tidak suka2. Agak suka
3. Suka
4. Sangat suka
5. Sangat suka sekali
KUESIONER UJI RANKING
Nama : Tanggal : Produk : Manisan Labu Kuning Kriteria : Tekstur Instruksi :
Dihadapan Anda terdapat 6 sampel manisan labu kuning. Lakukan pengujian terhadap
kriteria tekstur. Setelah itu, berikan penilaian Anda dengan memasukkan kode sampel
pada kotak kode sampel.Kode sampel Nilai Ket : 1. Tidak suka
2. Agak suka
3. Suka
4. Sangat suka
5. Sangat suka sekali
KUESIONER UJI RANKING
Nama : Tanggal : Produk : Manisan Labu Kuning Kriteria : Rasa Instruksi :
Dihadapan Anda terdapat 6 sampel manisan labu kuning. Lakukan pengujian terhadap
kriteria rasa. Setelah itu, berikan penilaian Anda dengan memasukkan kode sampel pada
kotak kode sampel.
Kode sampel Nilai
Ket : 1. Tidak suka2. Agak suka
3. Suka
4. Sangat suka
5. Sangat suka sekali