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 ,852 ** -,631 ** 1 -,503 ** -,713 ** ,205 ,000 ,000 ,005 ,000 ,277

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  ,000 ,000 ,000 ,000 ,277

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  1 -,683 ** ,852 ** -,561 ** -,647 ** ,367 * ,000 ,000 ,001 ,000 ,046

  

Correlations

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  ,001 ,000 ,005 ,005 ,321

  Correlation is significant at the 0.01 level (2-tailed).

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  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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  1 ,046 ,277 ,277 ,321 ,921

  30 ,367 * -,205 ,205 -,187 ,019

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  ,000 ,000 ,000 ,005 ,921

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  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).

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  30 ,145 -,156 1 -,242 -,278 ,256 ,443 ,411 ,198 ,137 ,172

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  ,000 ,411 ,428 ,020 ,172

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  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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  1 ,349 ,172 ,172 ,590 ,698

  30 ,177 -,256 ,256 -,103 ,074

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  ,824 ,428 ,198 ,648 ,590

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  ,001 ,020 ,137 ,648 ,698

  1 ,074

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    • .
      • ,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 kelembaban Pearson Correlation 1 -,690** ,582** ,659 -,545** ** -,825**

  Sig. (2-tailed) ,000 ,000 ,001 ,000 ,002

  N

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  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 aw Pearson Correlation

  • ,366* ,582** -,407* 1 ,900 -,572** **

  Sig. (2-tailed) ,046 ,001 ,026 ,000 ,001 N

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  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 hardness Pearson Correlation ,382* -,545** ,478** -,572** -,533**

  1 Sig. (2-tailed) ,037 ,002 ,008 ,001 ,002

  N

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  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 1 -,794** ,779** ,878 -,572**

  • kelembaban Pearson Correlation -,901** Sig. (2-tailed)

  ,000 ,000 ,000 ,000 ,001 N

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  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 aw Pearson Correlation -,670** ,779** -,667** 1 ,920 -,493** **

  Sig. (2-tailed) ,000 ,000 ,000 ,000 ,006

  N

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  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 hardness Pearson Correlation ,594** -,572** ,530** -,493** -,557**

  1 Sig. (2-tailed) ,001 ,001 ,003 ,006 ,001 N

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  30 **. Correlation is significant at the 0.01 level (2-tailed).

  • ,820** 1 -,766** ,753** ,820** -,463*

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  30 ,847** -,766** 1 -,748** -,778** ,263 ,000 ,000 ,000 ,000 ,160

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  ,000 ,000 ,000 ,000 ,001

  ,000 ,000 ,000 ,000 ,010

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  1 -,820** ,847** -,613** -,639** ,368* ,000 ,000 ,000 ,000 ,046

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  • ,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).

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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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  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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    • ,958** 1 -,812** ,733** ,731 ** -,707**
    • ,547** ,733** -,639** 1 ,930 ** -,768**
    • ,542** ,731** -,620** ,930** 1 -,687**

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  Correlation is significant at the 0.01 level (2-tailed).

  ,000 ,000 ,000 ,000 ,000

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  30 ,771** -,812** 1 -,639** -,620** ,507** ,000 ,000 ,000 ,000 ,004

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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 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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  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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  ,002 ,000 ,000 ,000 ,000

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  Korelasi Pengeringan Selama 5 jam

Correlations

waktu suhu klmbbn intens_chy aw kdr_air hardness waktu Pearson Correlation

  1 ,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 2,29505

  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 2,29505 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 0,000

  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 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.

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  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 suka

  2. 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 suka

  2. 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 suka

  2. 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 suka

  2. Agak suka

  3. Suka

  4. Sangat suka

  5. Sangat suka sekali