7. lampiran - corebiokimia dan teknologi pasca panen. universitas gadjah mada. yogyakarta....
TRANSCRIPT
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Sukrasno, S. Kusmardiyani, S. Tarini, dan N.C. Sugiarso. (1997). Kandungan Kapsaisin dan Dihidrokapsaisin Pada Berbagai Buah Capsicum. JMS vol. 2 no. 1. Hal 28-34.
Tranggono dan Sutardi. (1989). Biokimia dan Teknologi Pasca Panen. Universitas
Gadjah Mada. Yogyakarta. Tranggono, Z. Noor, D. Wibowo, M. Gardjito dan M. Astuti. (1989). Kimia, Nutrisi
Pangan Pusat Antar Universitas Pangan dan Gizi UGM. Yogyakarta. Wills, R.H.H., T.H. Lee, D. Graham W.B. Mc Glasson and E.G. Hall. (1981).
Postharvest An Introduction The Physiology and Handling of Fruit and Vegetable. New South Wales Un. Press. Sydney.
Winarno, F. G. (1991). Pangan Gizi, Teknologi dan Konsumen. PT Gramedia Pustaka
Utama. Jakarta. Winarno, F.G., (1989). Kimia Pangan dan Gizi. Gramedia Pustaka Utama, Jakarta. Znidarcic, D. and T. Pozrl. (2006). Comparative Study of Quality Changes in Tomato
Cv. ’Malike’ (Lycopersion esculentum Mill.) whilst stored at different temperature. Acta Agriculture Slovenica vol 87 No.2 page 235-243.
7. LAMPIRAN
43
Lampiran 1.Hasil uji regresi eksponensial variabel fisik cabai rawit pada diameter
ANOVA
.335 1 .335 80.739 .003
.012 3 .004
.348 4
RegressionResidualTotal
Sum ofSquares df Mean Square F Sig.
The independent variable is hari.
Model Summary
.964 .929 .906 .040R R Square
AdjustedR Square
Std. Error ofthe Estimate
The independent variable is hari.
ANOVA
.062 1 .062 39.469 .008
.005 3 .002
.067 4
RegressionResidualTotal
Sum ofSquares df Mean Square F Sig.
The independent variable is hari.
Coefficients
-.046 .005 -.982 -8.985 .003 .959 .048 20.036 .000
hari (Constant)
B Std. Error
Unstandardized Coefficients
Beta
StandardizedCoefficients
t Sig.
The dependent variable is ln(kontrol).
Model Summary
.982 .964 .952 .064R R Square
Adjusted R Square
Std. Error ofthe Estimate
The independent variable is hari.
44
Coefficients
-.020 .003 -.964 -6.282 .008.995 .031 32.522 .000
hari(Constant)
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
The dependent variable is ln(hs20).
Model Summary
.990 .980 .973 .027R R Square
AdjustedR Square
Std. Error ofthe Estimate
The independent variable is hari.
ANOVA
.107 1 .107 147.789 .001
.002 3 .001
.109 4
RegressionResidualTotal
Sum ofSquares df Mean Square F Sig.
The independent variable is hari.
Coefficients
-.026 .002 -.990 -12.157 .001.966 .020 48.039 .000
hari(Constant)
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
The dependent variable is ln(hs40).
Model Summary
.990 .981 .975 .035R R Square
AdjustedR Square
Std. Error ofthe Estimate
The independent variable is hari.
ANOVA
.190 1 .190 154.745 .001
.004 3 .001
.194 4
RegressionResidualTotal
Sum ofSquares df Mean Square F Sig.
The independent variable is hari.
45
Coefficients
-.034 .003 -.990 -12.440 .001.954 .026 36.803 .000
hari(Constant)
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
The dependent variable is ln(hs60).
Model Summary
.991 .982 .976 .034R R Square
AdjustedR Square
Std. Error ofthe Estimate
The independent variable is hari.
ANOVA
.190 1 .190 166.883 .001
.003 3 .001
.194 4
RegressionResidualTotal
Sum ofSquares df Mean Square F Sig.
The independent variable is hari.
Coefficients
-.034 .003 -.991 -12.918 .001.966 .025 38.229 .000
hari(Constant)
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
The dependent variable is ln(hs80).
46
Lampiran 2. Hasil uji regresi eksponensial variabel fisik cabai rawit pada berat
satuan
Model Summary
R R Square
Adjusted R
Square
Std. Error of the
Estimate
.972 .944 .926 .019
The independent variable is hari.
ANOVA
Sum of Squares df Mean Square F Sig.
Regression .019 1 .019 50.778 .006
Residual .001 3 .000
Total .020 4
The independent variable is hari.
Coefficients
Unstandardized Coefficients
Standardized
Coefficients
B Std. Error Beta t Sig.
hari -.011 .002 -.972 -7.126 .006
(Constant) 1.643 .024 67.151 .000
The dependent variable is ln(kontrol).
Model Summary
R R Square
Adjusted R
Square
Std. Error of the
Estimate
.996 .992 .990 .005
The independent variable is hari.
47
Model Summary
R R Square
Adjusted R
Square
Std. Error of the
Estimate
.996 .992 .990 .005
ANOVA
Sum of Squares df Mean Square F Sig.
Regression .010 1 .010 378.440 .000
Residual .000 3 .000
Total .010 4
The independent variable is hari.
Coefficients
Unstandardized Coefficients
Standardized
Coefficients
B Std. Error Beta t Sig.
hari -.008 .000 -.996 -19.454 .000
(Constant) 1.620 .007 246.205 .000
The dependent variable is ln(HS20).
Model Summary
R R Square
Adjusted R
Square
Std. Error of the
Estimate
.976 .952 .936 .015
The independent variable is hari.
ANOVA
Sum of Squares df Mean Square F Sig.
Regression .013 1 .013 59.189 .005
Residual .001 3 .000
Total .014 4
The independent variable is hari.
Coefficients
Unstandardized Coefficients
Standardized
Coefficients
B Std. Error Beta t Sig.
48
Model Summary
R R Square
Adjusted R
Square
Std. Error of the
Estimate
.996 .992 .990 .005
hari -.009 .001 -.976 -7.693 .005
(Constant) 1.659 .019 85.648 .000
The dependent variable is ln(HS40).
Model Summary
R R Square
Adjusted R
Square
Std. Error of the
Estimate
.950 .903 .871 .024
The independent variable is hari.
ANOVA
Sum of Squares df Mean Square F Sig.
Regression .016 1 .016 28.043 .013
Residual .002 3 .001
Total .018 4
The independent variable is hari.
Coefficients
Unstandardized Coefficients
Standardized
Coefficients
B Std. Error Beta t Sig.
hari -.010 .002 -.950 -5.296 .013
(Constant) 1.639 .031 53.373 .000
The dependent variable is ln(HS60).
Model Summary
R R Square
Adjusted R
Square
Std. Error of the
Estimate
.991 .982 .976 .011
The independent variable is hari.
ANOVA
49
Model Summary
R R Square
Adjusted R
Square
Std. Error of the
Estimate
.996 .992 .990 .005
Sum of Squares df Mean Square F Sig.
Regression .019 1 .019 165.204 .001
Residual .000 3 .000
Total .019 4
The independent variable is hari.
Coefficients
Unstandardized Coefficients
Standardized
Coefficients
B Std. Error Beta t Sig.
hari -.011 .001 -.991 -12.853 .001
(Constant) 1.642 .014 120.118 .000
The dependent variable is ln(HS80).
Lampiran 3. Hasil uji regresi eksponensial variabel fisik cabai rawit pada berat
total
50
Model Summary
1.000 .999 .999 .002R R Square
AdjustedR Square
Std. Error ofthe Estimate
The independent variable is hari.
ANOVA
.019 1 .019 4950.101 .000
.000 3 .000
.019 4
RegressionResidualTotal
Sum ofSquares df Mean Square F Sig.
The independent variable is hari.
Coefficients
-.011 .000 -1.000 -70.357 .000108.864 .166 654.334 .000
hari(Constant)
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
The dependent variable is ln(kontrol).
Model Summary
.997 .994 .991 .005R R Square
AdjustedR Square
Std. Error ofthe Estimate
The independent variable is hari.
ANOVA
.010 1 .010 462.991 .000
.000 3 .000
.010 4
RegressionResidualTotal
Sum ofSquares df Mean Square F Sig.
The independent variable is hari.
Coefficients
-.008 .000 -.997 -21.517 .000437.763 1.597 274.118 .000
hari(Constant)
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
The dependent variable is ln(hs20).
51
Model Summary
.978 .956 .942 .014R R Square
AdjustedR Square
Std. Error ofthe Estimate
The independent variable is hari.
ANOVA
.013 1 .013 65.675 .004
.001 3 .000
.013 4
RegressionResidualTotal
Sum ofSquares df Mean Square F Sig.
The independent variable is hari.
Coefficients
-.009 .001 -.978 -8.104 .004327.298 3.535 92.586 .000
hari(Constant)
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
The dependent variable is ln(hs40).
Model Summary
.986 .973 .964 .012R R Square
AdjustedR Square
Std. Error ofthe Estimate
The independent variable is hari.
ANOVA
.016 1 .016 108.770 .002
.000 3 .000
.017 4
RegressionResidualTotal
Sum ofSquares df Mean Square F Sig.
The independent variable is hari.
Coefficients
-.010 .001 -.986 -10.429 .002218.563 2.077 105.213 .000
hari(Constant)
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
The dependent variable is ln(hs60).
52
Model Summary
.999 .998 .997 .004R R Square
AdjustedR Square
Std. Error ofthe Estimate
The independent variable is hari.
ANOVA
.018 1 .018 1274.534 .000
.000 3 .000
.018 4
RegressionResidualTotal
Sum ofSquares df Mean Square F Sig.
The independent variable is hari.
Coefficients
-.011 .000 -.999 -35.701 .000110.959 .325 340.967 .000
hari(Constant)
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
The dependent variable is ln(hs80).
Lampiran 4. Hasil uji regresi eksponensial variabel fisik cabai rawit pada tekstur
53
Model Summary
.998 .997 .996 .008R R Square
AdjustedR Square
Std. Error ofthe Estimate
The independent variable is hari.
ANOVA
.056 1 .056 967.300 .000
.000 3 .000
.056 4
RegressionResidualTotal
Sum ofSquares df Mean Square F Sig.
The independent variable is hari.
Coefficients
-.019 .001 -.998 -31.101 .00035.038 .207 169.503 .000
hari(Constant)
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
The dependent variable is ln(kontrol).
Model Summary
.957 .917 .889 .028R R Square
AdjustedR Square
Std. Error ofthe Estimate
The independent variable is hari.
ANOVA
.026 1 .026 32.994 .010
.002 3 .001
.029 4
RegressionResidualTotal
Sum ofSquares df Mean Square F Sig.
The independent variable is hari.
Coefficients
-.013 .002 -.957 -5.744 .01034.829 .764 45.563 .000
hari(Constant)
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
The dependent variable is ln(hs20).
54
Model Summary
.961 .923 .897 .029R R Square
AdjustedR Square
Std. Error ofthe Estimate
The independent variable is hari.
ANOVA
.030 1 .030 35.931 .009
.002 3 .001
.032 4
RegressionResidualTotal
Sum ofSquares df Mean Square F Sig.
The independent variable is hari.
Coefficients
-.014 .002 -.961 -5.994 .00934.562 .769 44.923 .000
hari(Constant)
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
The dependent variable is ln(hs40).
Model Summary
.976 .954 .938 .025R R Square
AdjustedR Square
Std. Error ofthe Estimate
The independent variable is hari.
ANOVA
.039 1 .039 61.549 .004
.002 3 .001
.041 4
RegressionResidualTotal
Sum ofSquares df Mean Square F Sig.
The independent variable is hari.
Coefficients
-.016 .002 -.976 -7.845 .00434.845 .682 51.070 .000
hari(Constant)
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
The dependent variable is ln(hs60).
55
Model Summary
.990 .981 .974 .018R R Square
AdjustedR Square
Std. Error ofthe Estimate
The independent variable is hari.
ANOVA
.052 1 .052 152.542 .001
.001 3 .000
.053 4
RegressionResidualTotal
Sum ofSquares df Mean Square F Sig.
The independent variable is hari.
Coefficients
-.018 .001 -.990 -12.351 .00135.680 .511 69.794 .000
hari(Constant)
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
The dependent variable is ln(hs80).
Lampiran 5. Hasil uji regresi linear eksponensial kimia cabai rawit pada kadar air
Model Summary
.982 .965 .953 .016R R Square
AdjustedR Square
Std. Error ofthe Estimate
The independent variable is hari.
ANOVA
.022 1 .022 82.961 .003
.001 3 .000
.022 4
RegressionResidualTotal
Sum ofSquares df Mean Square F Sig.
The independent variable is hari.
56
Coefficients
-.012 .001 -.982 -9.108 .00389.050 1.114 79.918 .000
hari(Constant)
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
The dependent variable is ln(kontrol).
Model Summary
.934 .873 .831 .021R R Square
AdjustedR Square
Std. Error ofthe Estimate
The independent variable is hari.
ANOVA
.009 1 .009 20.610 .020
.001 3 .000
.010 4
RegressionResidualTotal
Sum ofSquares df Mean Square F Sig.
The independent variable is hari.
Coefficients
-.007 .002 -.934 -4.540 .02087.247 1.402 62.228 .000
hari(Constant)
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
The dependent variable is ln(hs20).
Model Summary
.966 .933 .911 .017R R Square
AdjustedR Square
Std. Error ofthe Estimate
The independent variable is hari.
ANOVA
.013 1 .013 41.921 .007
.001 3 .000
.013 4
RegressionResidualTotal
Sum ofSquares df Mean Square F Sig.
The independent variable is hari.
57
Coefficients
-.009 .001 -.966 -6.475 .00787.739 1.176 74.581 .000
hari(Constant)
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
The dependent variable is ln(hs40).
Model Summary
.996 .991 .988 .007R R Square
AdjustedR Square
Std. Error ofthe Estimate
The independent variable is hari.
ANOVA
.017 1 .017 342.154 .000
.000 3 .000
.017 4
RegressionResidualTotal
Sum ofSquares df Mean Square F Sig.
The independent variable is hari.
Coefficients
-.010 .001 -.996 -18.497 .00088.623 .479 185.090 .000
hari(Constant)
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
The dependent variable is ln(hs60).
Model Summary
.977 .954 .939 .018R R Square
AdjustedR Square
Std. Error ofthe Estimate
The independent variable is hari.
ANOVA
.020 1 .020 62.630 .004
.001 3 .000
.021 4
RegressionResidualTotal
Sum ofSquares df Mean Square F Sig.
The independent variable is hari.
58
Coefficients
-.011 .001 -.977 -7.914 .00488.039 1.231 71.520 .000
hari(Constant)
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
The dependent variable is ln(hs80).
Lampiran 6.Hasil uji regresi linear eksponensial kimia cabai rawit pada vitamin C
Model Summary
.909 .827 .769 .120R R Square
AdjustedR Square
Std. Error ofthe Estimate
The independent variable is hari.
ANOVA
.205 1 .205 14.350 .032
.043 3 .014
.248 4
RegressionResidualTotal
Sum ofSquares df Mean Square F Sig.
The independent variable is hari.
Coefficients
-.036 .009 -.909 -3.788 .03212.211 1.130 10.802 .002
hari(Constant)
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
The dependent variable is ln(kontrol).
Model Summary
.925 .856 .808 .062R R Square
AdjustedR Square
Std. Error ofthe Estimate
The independent variable is hari.
59
ANOVA
.069 1 .069 17.847 .024
.012 3 .004
.080 4
RegressionResidualTotal
Sum ofSquares df Mean Square F Sig.
The independent variable is hari.
Coefficients
-.021 .005 -.925 -4.225 .02411.075 .533 20.778 .000
hari(Constant)
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
The dependent variable is ln(hs20).
Model Summary
.940 .883 .844 .064R R Square
AdjustedR Square
Std. Error ofthe Estimate
The independent variable is hari.
ANOVA
.093 1 .093 22.698 .018
.012 3 .004
.105 4
RegressionResidualTotal
Sum ofSquares df Mean Square F Sig.
The independent variable is hari.
Coefficients
-.024 .005 -.940 -4.764 .01811.013 .546 20.170 .000
hari(Constant)
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
The dependent variable is ln(hs40).
60
Model Summary
.947 .896 .862 .072R R Square
AdjustedR Square
Std. Error ofthe Estimate
The independent variable is hari.
ANOVA
.135 1 .135 25.930 .015
.016 3 .005
.150 4
RegressionResidualTotal
Sum ofSquares df Mean Square F Sig.
The independent variable is hari.
Coefficients
-.029 .006 -.947 -5.092 .01511.815 .660 17.914 .000
hari(Constant)
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
The dependent variable is ln(hs60).
Model Summary
.921 .849 .798 .098R R Square
AdjustedR Square
Std. Error ofthe Estimate
The independent variable is hari.
ANOVA
.162 1 .162 16.813 .026
.029 3 .010
.191 4
RegressionResidualTotal
Sum ofSquares df Mean Square F Sig.
The independent variable is hari.
Coefficients
-.032 .008 -.921 -4.100 .02611.897 .905 13.149 .001
hari(Constant)
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
The dependent variable is ln(hs80).
Lampiran 7. Hasil uji regresi eksponensial variabel kimia cabai rawit pada pH
61
Model Summary
.917 .841 .788 .041R R Square
AdjustedR Square
Std. Error ofthe Estimate
The independent variable is hari.
ANOVA
.027 1 .027 15.894 .028
.005 3 .002
.032 4
RegressionResidualTotal
Sum ofSquares df Mean Square F Sig.
The independent variable is hari.
Coefficients
.013 .003 .917 3.987 .0286.093 .194 31.400 .000
hari(Constant)
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
The dependent variable is ln(kontrol).
Model Summary
.865 .748 .664 .049R R Square
AdjustedR Square
Std. Error ofthe Estimate
The independent variable is hari.
ANOVA
.021 1 .021 8.897 .058
.007 3 .002
.028 4
RegressionResidualTotal
Sum ofSquares df Mean Square F Sig.
The independent variable is hari.
Coefficients
.011 .004 .865 2.983 .058 5.907 .222 26.566 .000
hari (Constant)
B Std. Error
Unstandardized Coefficients
Beta
StandardizedCoefficients
t Sig.
The dependent variable is ln(hs20).
62
Model Summary
.864 .746 .661 .049R R Square
AdjustedR Square
Std. Error ofthe Estimate
The independent variable is hari.
ANOVA
.022 1 .022 8.812 .059
.007 3 .002
.029 4
RegressionResidualTotal
Sum ofSquares df Mean Square F Sig.
The independent variable is hari.
Coefficients
.012 .004 .864 2.969 .0595.818 .223 26.115 .000
hari(Constant)
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
The dependent variable is ln(hs40).
Model Summary
.880 .774 .699 .049R R Square
AdjustedR Square
Std. Error ofthe Estimate
The independent variable is hari.
ANOVA
.025 1 .025 10.270 .049
.007 3 .002
.032 4
RegressionResidualTotal
Sum ofSquares df Mean Square F Sig.
The independent variable is hari.
Coefficients
.012 .004 .880 3.205 .049 5.790 .220 26.334 .000
hari (Constant)
B Std. Error
Unstandardized Coefficients
Beta
StandardizedCoefficients
t Sig.
The dependent variable is ln(hs60).
63
Model Summary
.853 .727 .636 .055R R Square
AdjustedR Square
Std. Error ofthe Estimate
The independent variable is hari.
ANOVA
.024 1 .024 7.985 .066
.009 3 .003
.033 4
RegressionResidualTotal
Sum ofSquares df Mean Square F Sig.
The independent variable is hari.
Coefficients
.012 .004 .853 2.826 .0665.879 .251 23.382 .000
hari(Constant)
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
The dependent variable is ln(hs80).