43 Lampiran 1.Hasil uji regresi eksponensial variabel fisik cabai rawit pada diameter

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42 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

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43 Lampiran 1.Hasil uji regresi eksponensial variabel fisik cabai rawit pada diameter

ANOVA

.335 1 .335 80.739 .003

.012 3 .004

Squares df Mean Square F Sig.

The independent variable is hari.

Model Summary

.964 .929 .906 .040

R R Square

Adjusted R Square

Std. Error of the Estimate

ANOVA

.062 1 .062 39.469 .008

.005 3 .002

Coefficients

-.046 .005 -.982 -8.985 .003

.959 .048 20.036 .000

hari (Constant)

B Std. Error Unstandardized

The dependent variable is ln(kontrol).

Model Summary

.982 .964 .952 .064

R R Square

Adjusted R Square

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44

Coefficients

-.020 .003 -.964 -6.282 .008

.995 .031 32.522 .000

hari (Constant)

The dependent variable is ln(hs20).

Model Summary

.990 .980 .973 .027

R R Square

Adjusted R Square

ANOVA

.107 1 .107 147.789 .001

.002 3 .001

Coefficients

-.026 .002 -.990 -12.157 .001

.966 .020 48.039 .000

hari (Constant)

Model Summary

.990 .981 .975 .035

R R Square

Adjusted R Square

ANOVA

.190 1 .190 154.745 .001

.004 3 .001

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45

Coefficients

-.034 .003 -.990 -12.440 .001

.954 .026 36.803 .000

hari (Constant)

Coefficients

Beta Standardized

Coefficients

t Sig.

Model Summary

.991 .982 .976 .034

R R Square

Adjusted R Square

ANOVA

.190 1 .190 166.883 .001

.003 3 .001

.194 4

Regression Residual Total

Sum of

Coefficients

-.034 .003 -.991 -12.918 .001

.966 .025 38.229 .000

hari (Constant)

Coefficients

Beta Standardized

Coefficients

t Sig.

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46 Lampiran 2. Hasil uji regresi eksponensial variabel fisik cabai rawit pada berat

satuan

Model Summary

R R Square

Adjusted R Square

.972 .944 .926 .019

ANOVA

Sum of Squares df Mean Square F Sig.

Regression .019 1 .019 50.778 .006

Residual .001 3 .000

Total .020 4

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

Model Summary

R R Square

Adjusted R Square

.996 .992 .990 .005

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47

Model Summary

R R Square

Adjusted R Square

.996 .992 .990 .005

ANOVA

Regression .010 1 .010 378.440 .000

Total .010 4

Coefficients

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

.976 .952 .936 .015

ANOVA

Regression .013 1 .013 59.189 .005

Total .014 4

Coefficients

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48

Model Summary

R R Square

Adjusted R Square

.996 .992 .990 .005

hari -.009 .001 -.976 -7.693 .005

(Constant) 1.659 .019 85.648 .000

Model Summary

R R Square

Adjusted R Square

.950 .903 .871 .024

ANOVA

Regression .016 1 .016 28.043 .013

Total .018 4

Coefficients

hari -.010 .002 -.950 -5.296 .013

(Constant) 1.639 .031 53.373 .000

Model Summary

R R Square

Adjusted R Square

.991 .982 .976 .011

ANOVA

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Model Summary

R R Square

Adjusted R Square

.996 .992 .990 .005

Regression .019 1 .019 165.204 .001

Total .019 4

Coefficients

hari -.011 .001 -.991 -12.853 .001

(Constant) 1.642 .014 120.118 .000

Lampiran 3. Hasil uji regresi eksponensial variabel fisik cabai rawit pada berat

total

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50

Model Summary

1.000 .999 .999 .002

R R Square

Adjusted R Square

ANOVA

.019 1 .019 4950.101 .000

.000 3 .000

Coefficients

-.011 .000 -1.000 -70.357 .000

108.864 .166 654.334 .000

hari (Constant)

Model Summary

.997 .994 .991 .005

R R Square

Adjusted R Square

ANOVA

.010 1 .010 462.991 .000

.000 3 .000

Coefficients

-.008 .000 -.997 -21.517 .000

437.763 1.597 274.118 .000

hari (Constant)

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51

Model Summary

.978 .956 .942 .014

R R Square

Adjusted R Square

ANOVA

.013 1 .013 65.675 .004

.001 3 .000

Coefficients

-.009 .001 -.978 -8.104 .004

327.298 3.535 92.586 .000

hari (Constant)

Model Summary

.986 .973 .964 .012

R R Square

Adjusted R Square

ANOVA

.016 1 .016 108.770 .002

.000 3 .000

Coefficients

-.010 .001 -.986 -10.429 .002

218.563 2.077 105.213 .000

hari (Constant)

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Model Summary

.999 .998 .997 .004

R R Square

Adjusted R Square

ANOVA

.018 1 .018 1274.534 .000

.000 3 .000

.018 4

Sum of

Coefficients

-.011 .000 -.999 -35.701 .000

110.959 .325 340.967 .000

hari (Constant)

Coefficients

Beta Standardized

Coefficients

t Sig.

Lampiran 4. Hasil uji regresi eksponensial variabel fisik cabai rawit pada tekstur

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53

Model Summary

.998 .997 .996 .008

R R Square

Adjusted R Square

ANOVA

.056 1 .056 967.300 .000

.000 3 .000

Coefficients

-.019 .001 -.998 -31.101 .000

35.038 .207 169.503 .000

hari (Constant)

Model Summary

.957 .917 .889 .028

R R Square

Adjusted R Square

ANOVA

.026 1 .026 32.994 .010

.002 3 .001

Coefficients

-.013 .002 -.957 -5.744 .010

34.829 .764 45.563 .000

hari (Constant)

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Model Summary

.961 .923 .897 .029

R R Square

Adjusted R Square

ANOVA

.030 1 .030 35.931 .009

.002 3 .001

Coefficients

-.014 .002 -.961 -5.994 .009

34.562 .769 44.923 .000

hari (Constant)

Model Summary

.976 .954 .938 .025

R R Square

Adjusted R Square

ANOVA

.039 1 .039 61.549 .004

.002 3 .001

Coefficients

-.016 .002 -.976 -7.845 .004

34.845 .682 51.070 .000

hari (Constant)

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Model Summary

.990 .981 .974 .018

R R Square

Adjusted R Square

ANOVA

.052 1 .052 152.542 .001

.001 3 .000

Coefficients

-.018 .001 -.990 -12.351 .001

35.680 .511 69.794 .000

hari (Constant)

Lampiran 5. Hasil uji regresi linear eksponensial kimia cabai rawit pada kadar air

Model Summary

.982 .965 .953 .016

R R Square

Adjusted R Square

ANOVA

.022 1 .022 82.961 .003

.001 3 .000

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Coefficients

-.012 .001 -.982 -9.108 .003

89.050 1.114 79.918 .000

hari (Constant)

Model Summary

.934 .873 .831 .021

R R Square

Adjusted R Square

ANOVA

.009 1 .009 20.610 .020

.001 3 .000

Coefficients

-.007 .002 -.934 -4.540 .020

87.247 1.402 62.228 .000

hari (Constant)

Model Summary

.966 .933 .911 .017

R R Square

Adjusted R Square

ANOVA

.013 1 .013 41.921 .007

.001 3 .000

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57

Coefficients

-.009 .001 -.966 -6.475 .007

87.739 1.176 74.581 .000

hari (Constant)

Model Summary

.996 .991 .988 .007

R R Square

Adjusted R Square

ANOVA

.017 1 .017 342.154 .000

.000 3 .000

Coefficients

-.010 .001 -.996 -18.497 .000

88.623 .479 185.090 .000

hari (Constant)

Model Summary

.977 .954 .939 .018

R R Square

Adjusted R Square

ANOVA

.020 1 .020 62.630 .004

.001 3 .000

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Coefficients

-.011 .001 -.977 -7.914 .004

88.039 1.231 71.520 .000

hari (Constant)

Lampiran 6.Hasil uji regresi linear eksponensial kimia cabai rawit pada vitamin C

Model Summary

.909 .827 .769 .120

R R Square

Adjusted R Square

ANOVA

.205 1 .205 14.350 .032

.043 3 .014

Coefficients

-.036 .009 -.909 -3.788 .032

12.211 1.130 10.802 .002

hari (Constant)

Model Summary

.925 .856 .808 .062

R R Square

Adjusted R Square

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ANOVA

.069 1 .069 17.847 .024

.012 3 .004

Coefficients

-.021 .005 -.925 -4.225 .024

11.075 .533 20.778 .000

hari (Constant)

Model Summary

.940 .883 .844 .064

R R Square

Adjusted R Square

ANOVA

.093 1 .093 22.698 .018

.012 3 .004

Coefficients

-.024 .005 -.940 -4.764 .018

11.013 .546 20.170 .000

hari (Constant)

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60

Model Summary

.947 .896 .862 .072

R R Square

Adjusted R Square

ANOVA

.135 1 .135 25.930 .015

.016 3 .005

Coefficients

-.029 .006 -.947 -5.092 .015

11.815 .660 17.914 .000

hari (Constant)

Model Summary

.921 .849 .798 .098

R R Square

Adjusted R Square

ANOVA

.162 1 .162 16.813 .026

.029 3 .010

Coefficients

-.032 .008 -.921 -4.100 .026

11.897 .905 13.149 .001

hari (Constant)

Lampiran 7. Hasil uji regresi eksponensial variabel kimia cabai rawit pada pH

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Model Summary

.917 .841 .788 .041

R R Square

Adjusted R Square

ANOVA

.027 1 .027 15.894 .028

.005 3 .002

Coefficients

.013 .003 .917 3.987 .028

6.093 .194 31.400 .000

hari (Constant)

Model Summary

.865 .748 .664 .049

R R Square

Adjusted R Square

ANOVA

Coefficients

.011 .004 .865 2.983 .058

5.907 .222 26.566 .000

hari (Constant)

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Model Summary

.864 .746 .661 .049

R R Square

Adjusted R Square

ANOVA

Coefficients

.012 .004 .864 2.969 .059

5.818 .223 26.115 .000

hari (Constant)

Model Summary

.880 .774 .699 .049

R R Square

Adjusted R Square

ANOVA

.025 1 .025 10.270 .049

.007 3 .002

Coefficients

.012 .004 .880 3.205 .049

5.790 .220 26.334 .000

hari (Constant)

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Model Summary

.853 .727 .636 .055

R R Square

Adjusted R Square

ANOVA

.024 1 .024 7.985 .066

.009 3 .003

.033 4

Sum of

Coefficients

.012 .004 .853 2.826 .066

5.879 .251 23.382 .000

hari (Constant)

Coefficients

Beta Standardized

Coefficients

t Sig.