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Impact of Drying Temperatures on Amylose, Resistant Starch and In Vitro Starch Digestibility of Instant Arrowroot (Marantaarundinacea) Starch and Flour - Unika Repository

  APPENDICES 1 0.7000 0.6000 y = 0.016x - 0.051 R² = 0.999

  0.5000 0.4000 Series1 0.3000 Linear (Series1) 0.2000

  0.1000 0.0000

  10

  20

  30

  40

  50 Figure 1. Standard Curve of Amylose Analysis

  APPENDICES 3

1.Data analysis of amylose (dry basis)

  

Tests of Normality

jenis Kolmogorov-Smirnov a Shapiro-Wilk Statistic Df Sig. Statistic df Sig. kdr_amilosa tepung .167 24 .083 .910 24 .035 pati .160

  24 .115 .911 24 .037

a. Lilliefors Significance Correction

  6 Total 18.42625 1.903538

  24 pati kontrol 21.99467 .332128 6 80 26.25333 .613801 6 90 27.80617 .731609 6 100 29.47800 1.421584

  6 Total 26.38304 2.952437

  24 Total kontrol 18.89750 3.244910

  6 80 18.44700 1.361096 6 90 19.48350 1.119517 6 100 19.97417 1.018713

  12 Total 22.40465 4.712036

  48 Tests of Between-Subjects Effects Dependent Variable:kdr_amilosa Source Type III Sum of

  Squares df Mean Square F Sig. Corrected Model 1007.457 a 7 143.922 159.482 .000 Intercept 24094.471

  1 24094.471 26699.383 .000 jenis 759.726 1 759.726 841.862 .000 suhu_pengeringan 230.762 3 76.921 85.237 .000 jenis * suhu_pengeringan 16.968 3 5.656 6.268 .001 Error 36.097

  40 .902 Total 25138.026

  48 Corrected Total 1043.554

  47

  Descriptive Statistics Dependent Variable:kdr_amilosa jenis suhu_pengeringan Mean Std. Deviation N tepung kontrol 15.80033 .180542

  12 80 22.35017 4.199169 12 90 23.64483 4.438910 12 100 24.72608 5.101354

  

Tests of Between-Subjects Effects

Dependent Variable:kdr_amilosa Type III Sum of Source Squares df Mean Square F Sig. a Corrected Model 1007.457

  7 143.922 159.482 .000 Intercept 24094.471 1 24094.471 26699.383 .000 jenis 759.726 1 759.726 841.862 .000 suhu_pengeringan 230.762 3 76.921 85.237 .000 jenis * suhu_pengeringan 16.968 3 5.656 6.268 .001 Error 36.097

  40 .902 Total 25138.026

  48 Corrected Total 1043.554

  47

  a. R Squared = ,965 (Adjusted R Squared = ,959) a,,b kdr_amilosa Duncan suhu_pe Subset ngeringa n N

  1

  2

  3

  4 kontrol 12 18.89750

  80 12 22.35017

  90 12 23.64483 100 12 24.72608 Sig. 1.000 1.000 1.000 1.000

  Means for groups in homogeneous subsets are displayed.

  Based on observed means. The error term is Mean Square(Error) = ,902.

  a. Uses Harmonic Mean Sample Size = 12,000.

  b. Alpha = 0,05.

2. Data analysis of Resistant Starch (dry basis)

  

Tests of Normality

a

  Kolmogorov-Smirnov Shapiro-Wilk Suhu Statistic df Sig. Statistic df Sig. pati_resisten kontrol .276 6 .169 .839 6 .128

  80.00 .277 6 .165 .902 6 .388

  • 90.00 .185

  6 .200 .931 6 .591

  • 100.00 .205

  6 .200 .970 6 .889

  a. Lilliefors Significance Correction *. This is a lower bound of the true significance.

  

Tests of Normality

  90.00 Tepung .454267 .0920637

  a

  2.325

  Type III Sum of Squares Df Mean Square F Sig. Corrected Model

  24 Tests of Between-Subjects Effects Dependent Variable:pati_resisten Source

  12 Total .705654 .3409400

  12 Pati .746775 .3662860

  6 Total Tepung .664533 .3243343

  3 Total .571567 .0719645

  3 Pati .562833 .0288765

  6 100.00 Tepung .580300 .1090164

  3 Total .499233 .1273405

  3 Pati .544200 .1612368

  6

  jenis Kolmogorov-Smirnov

  3 Total .517717 .1242940

  3 Pati .550333 .1289286

  80.00 Tepung .485100 .1371436

  6

  3 Total 1.234100 .2183197

  3 Pati 1.329733 .1204354

  Dependent Variable:pati_resisten suhu Jenis Mean Std. Deviation N kontrol Tepung 1.138467 .2778792

  Descriptive Statistics

  a. Lilliefors Significance Correction

  12 .003 .799 12 .009

  Shapiro-Wilk Statistic df Sig. Statistic df Sig. pati_resisten tepung .230 12 .080 .816 12 .014 pati .302

  a

  7 .332 15.240 .000 Intercept 11.951 1 11.951 548.376 .000 Suhu 2.251 3 .750 34.430 .000 Jenis .041 1 .041 1.862 .191 suhu * jenis .033

  3 .011 .509 .682 Error .349 16 .022 Total 14.624

  24 Corrected Total 2.674

  23

  a. R Squared = ,870 (Adjusted R Squared = ,813)

  pati_resisten a,,b

  Duncan Subset suhu N

  1

  2

  90.00 6 .499233

  80.00 6 .517717 100.00 6 .571567 kontrol

  6 1.234100 Sig. .434 1.000 Means for groups in homogeneous subsets are displayed.

  Based on observed means. The error term is Mean Square(Error) = ,022.

  a. Uses Harmonic Mean Sample Size = 6,000.

  b. Alpha = ,05.

3.Data Analysis of Glucose Released

  a

  Shapiro-Wilk Statistic Df Sig. Statistic df Sig. mg_glucose tepung .115 36 .200

  

Tests of Normality

  jenis Kolmogorov-Smirnov

  • .968
  • .974
  • .956

  • .926
  • .925
  • .944

  • .885
  • .945

  Descriptive Statistics

  6

  6 90.00 .062183 .0162878

  6 60.00 .061333 .0191961

  36 Pati 30.00 .031367 .0073823

  6 Total .059000 .0191037

  6 180.00 .054383 .0148087

  6 150.00 .068933 .0086296

  6 120.00 .078850 .0077868

  6 90.00 .067183 .0154001

  6 60.00 .053133 .0151852

  Dependent Variable:mg_glucose jenis waktu Mean Std. Deviation N tepung 30.00 .031517 .0093619

  a. Lilliefors Significance Correction *. This is a lower bound of the true significance.

  36 .378 pati .077 36 .200

  12 .569

  12 .101 180.00 .137 12 .200

  12 .332 120.00 .173 12 .200

  12 .336 90.00 .171 12 .200

  12 .720 60.00 .149 12 .200

  Shapiro-Wilk Statistic Df Sig. Statistic df Sig. mg_glucose 30.00 .122 12 .200

  a

  waktu Kolmogorov-Smirnov

  

Tests of Normality

  a. Lilliefors Significance Correction *. This is a lower bound of the true significance.

  36 .546

  12 .557 150.00 .160 12 .200

  120.00 .076350 .0110085

  6 150.00 .068783 .0088319

  6 180.00 .053350 .0092677

  6 Total .058894 .0186037

  36 Total 30.00 .031442 .0080385

  12 60.00 .057233 .0170484

  12 90.00 .064683 .0153365

  12 120.00 .077600 .0091843

  12 150.00 .068858 .0083254

  12 180.00 .053867 .0117904

  12 Total .058947 .0187222

  72 Tests of Between-Subjects Effects Dependent Variable:mg_glucose

  Type III Sum Source of Squares Df Mean Square F Sig.

  a

  Corrected .015 11 .001 8.962 .000 Model Intercept .250 1 .250 1594.235 .000 jenis 2.006E-7

  1 2.006E-7 .001 .972 waktu .015 5 .003 19.336 .000 jenis * waktu .000 5 5.972E-5 .381 .860

  Error .009 60 .000 Total .275

  72 Corrected Total .025

  71

  a. R Squared = ,622 (Adjusted R Squared = ,552)

  mg_glucose a,,b

  Duncan Subset waktu N

  1

  2

  3

  4

  5

  30.00 12 .031442 180.00 12 .053867

  60.00 12 .057233 .057233

  90.00 12 .064683 .064683 150.00 12 .068858 .068858 120.00

  12 .077600 Sig. 1.000 .513 .150 .418 .093 Means for groups in homogeneous subsets are displayed.

  Based on observed means. The error term is Mean Square(Error) = ,000.

  a. Uses Harmonic Mean Sample Size = 12,000.

  b. Alpha = ,05.

4.Data Analysis of Starch Released

  

Tests of Normality

a

  Kolmogorov-Smirnov Shapiro-Wilk Jenis Statistic Df Sig. Statistic df Sig.

  • digest_starch Tepung .115

  36 .200 .968 36 .376

  • Pati .077

  36 .200 .974 36 .547

  a. Lilliefors Significance Correction *. This is a lower bound of the true significance.

  

Tests of Normality

a

  Kolmogorov-Smirnov Shapiro-Wilk Waktu Statistic Df Sig. Statistic df Sig.

  • digest_starch 30.00 .122

  12 .200 .955 12 .715

  • 60.00 .149

  12 .200 .926 12 .337

  • 90.00 .171

  12 .200 .926 12 .335

  • 120.00 .176

  12 .200 .944 12 .546

  • 150.00 .161

  12 .200 .883 12 .097

  • 180.00 .138

  12 .200 .945 12 .565

  a. Lilliefors Significance Correction *. This is a lower bound of the true significance.

  digest_starch a,,b

  Duncan Subset waktu N

  1

  2

  3

  4

  5

  30.00 12 .028283 180.00 12 .048483

  60.00 12 .051525 .051525

  90.00 12 .058208 .058208 150.00 12 .061975 .061975 120.00

  12 .069850

  Sig. 1.000 .511 .152 .416 .092 Means for groups in homogeneous subsets are displayed.

  Based on observed means. The error term is Mean Square(Error) = ,000.

  a. Uses Harmonic Mean Sample Size = 12,000.

  b. Alpha = ,05.

  Descriptive Statistics Dependent Variable:digest_starch jenis Waktu Mean Std. Deviation N tepung 30.00 .028367 .0084227

  6 60.00 .047817 .0136618 6 90.00 .060450 .0138669 6 120.00 .070967 .0070142 6 150.00 .062033 .0077940 6 180.00 .048933 .0133167

  6 Total .053094 .0171931

  36 Pati 30.00 .028200 .0066045

  6 60.00 .055233 .0172560 6 90.00 .055967 .0146480 6 120.00 .068733 .0099136

  6 a. Cannot be computed because at least one of the variables is constant.

  150.00 .061917 .0079570

  6 180.00 .048033 .0083270

  6 Total .053014 .0167483

  36 Total 30.00 .028283 .0072168

  12 60.00 .051525 .0153359 12 90.00 .058208 .0137991 12 120.00 .069850 .0082702 12 150.00 .061975 .0075096 12 180.00 .048483 .0105993

  12 Total .053054 .0168523

  72 KORELASI AMILOSA VS PATI RESISTEN (BIVARIATE – PEARSON) Correlations

  pati_resisten amilosa pati_resi sten

  Pearson Correlation 1 -.004 Sig. (2- tailed)

  .987 N 24 `24 amilosa Pearson Correlation

  • .004

  1 Sig. (2- tailed) .987

  N

  24

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

  • . Correlation is significant at the 0.05 level (2-tailed)

  KORELASI AMILOSA TEPUNG (100C) VS DAYA CERNATEPUNG (100C) Correlations

  daya_cerna_t amilosa p amilosa Pearson 1 .509

  Correlation Sig. (2-tailed) .302 N

  6

  6 daya_cerna_tp Pearson .509

  1 Correlation Sig. (2-tailed) .302 N

  6

  36 .

KORELASI AMILOSA PATI (100C) VS DAYA CERNA PATI (100C)

  

Correlations

  AMILOSA_P DAYACERN ATI WAKTU A_PATI

  a

  AMILOSA_PATI Pearson 1 . -.771 Correlation Sig. (2-tailed) .000 .073 N

  6

  6

  6

  a * WAKTU Pearson .

  1 .390 Correlation Sig. (2-tailed) .000 .019 N

  6

  36

  36

  • DAYACERNA_P Pearson -.771 .390

  1 ATI Correlation Sig. (2-tailed) .073 .019 N

  6

  36

  36 a. Cannot be computed because at least one of the variables is constant.

  • . Correlation is significant at the 0.05 level (2-tailed).
  • .

  • 1 -.600

    • .600

  3 DAYACERNATEPU NG Pearson Correlation

  

Correlations

  WAKTU DAYACERNA TEPUNG PATIRESISTEN TEPUNG WAKTU Pearson

  Correlation 1 .449

  a

  Sig. (2-tailed) .006 .000 N

  36

  36

  .449

  3 *. Correlation is significant at the 0.05 level (2-tailed).

  36

  36

  3 PATIRESISTENTEPU NG Pearson Correlation .

  a

  Sig. (2-tailed) .000 .017 N

  3

  3

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

  a. Cannot be computed because at least one of the variables is constant.

  3

  3 DAYACERNA_P ATI

  3

  PATI PATIRESISTEN WAKTU Pearson

  Correlation 1 .390

  a

  Sig. (2-tailed) .019 .000 N

  36

  36

  Pearson Correlation

  KORELASI PATI RESISTEN (PATI) VS DAYA CERNA PATI Correlations

  .390

  Sig. (2-tailed) .019 .590 N

  36

  36

  3 PATIRESISTEN Pearson Correlation .

  a

  1 Sig. (2-tailed) .000 .590 N

  WAKTU DAYACERNA_

KORELASI DAYA CERNA TEPUNG VS PATI RESISTEN TEPUNG

  • .
  • 1 -1.000

    • Sig. (2-tailed) .006 .017 N
    • 1

      • 1.000
      a. Cannot be computed because at least one of the variables is constant.

  • . Correlation is significant at the 0.05 level (2-tailed).

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