BAB IV Tabel 2. Pengamatan CVS pada Suhu Refrigator Tabel 3. Pengamatan Color Meter pada Suhu Ruangan

(1)

BAB IV

HASIL DAN PEMBAHASAN

4.1. Hasil

4.1.1. Hasil Pengamatan

Tabel 1. Pengamatan CVS pada Suhu Ruangan

Hari Ke

R G B

1 2 3 Rata-rata 1 2 3 Rata-rata 1 2 3 Rata-_rata

0 150.401 113.53 156.153 140.028 185.261 175.789 193.091 184.71367 1.809 1.776 5.796 3.127 1 200.524 206.685 215.411 207.54 192.136 175.654 183.59 183.79333 39.541 13.79 7.182 20.171 2 231.225 243.01 238.966 237.7336667 191.772 213.458 191.867 199.03233 2.03 1.069 1.614 1.571 3 245.862 245.024 239.544 243.4766667 219.427 220.574 207.035 215.67867 24.99 9.904 17.432 17.442 4 247.715 241.199 235.381 241.4316667 218.622 207.318 189.703 205.21433 21.026 10.687 12.317 14.67667 5 205.657 179.406 213.859 199.6406667 168.353 156.386 177.009 167.24933 6.05 8.771 4.058 6.293 6 215.677 221.428 218.047 218.384 155.412 155.129 151.009 153.85 7.173 13.461 4.003 8.212333 7 232.323 202.003 206.724 213.6833333 167.4 134.89 137.735 146.675 2.004 2.411 3.681 2.698667

Tabel 2. Pengamatan CVS pada Suhu Refrigator

Har i Ke

R G B

A B C Rata-rata A B C Rata-rata A B C Rata-_rata

0 _185.492 _188.306 199.13₇ _190.9783333 _185.649 _189.17 _191.016 _188.61167 _0.765 _5.319 _8.984 _5.022667 1 194.955 193.09 198.73 195.5916667 165.578 179.069 174.082 172.90967 7.154 17.456 2.92 9.176667 2 _204.985 _192.297 214.93₉ _204.0736667 _161.062 _164.003 _181.764 _168.943 _1.543 _1.325 _4.094 _2.320667 3 _208.002 _223.746 202.69₈ _211.482 _168.653 _195.646 _167.706 _177.335 _6.633 _13.441 _5.028 _8.367333 4 _196.729 _225.596 232.57₅ _218.3 _181.217 _194.801 _200.758 _192.25867 _9.086 _6.905 _23.103 _13.03133 5 _220,163 _231.63 238.22₈ _234.929 _160.198 _166.238 _189.572 _172.00267 _3.574 _5.684 _4.156 _4.471333 6 _195.465 _203.117 204.70₉ _201.097 _137.198 _153.436 _153.658 _148.09733 _2.27 _12.851 _15.232 _10.11767 7 _164.108 _191.336 205.60₈ _187.0173333 _111.881 _132.284 _144.512 _129.559 _4.787 _4.318 _6.084 _5.063

Tabel 3. Pengamatan Color Meter pada Suhu Ruangan

Har

L A B

1 2 3 ẋ 1 2 3 ẋ 1 2 3 ẋ

0 53.35 44.3 60.5₇ 52.74 -23.72 -19.64 -21.81 -21.72333 32.7₃ 36.42 40.6 36.58333 1 63.25 66.34 65.5₅ 65.04667 -12.11 -1.46 5.595 -2.658333 52.5₅ 53.2 56.62 54.12333 2 62.62 63.1 59.8₄ 61.85333 -10.57 -8.7 -1.96 -7.076667 57.7₄ 49.92 41.37 49.67667

(2)

3 56.48 62 41.6₂ 53.36667 2.335 -11.07 -3.93 -4.221667 43.4₇ 52.39 32.62 42.82667 4 50.07 53.03 43.7₄ 48.94667 12.55 1.02 10.25 7.94 59.8₇ 50.33 48.17 52.79 5 40.36 35.88 53.9₉ 43.41 9.82 9.97 7.695 9.161667 46.7₉ 49.24 56.84 50.95667 6 34.93 31.51 37.1₉ 34.54333 4.685 14.85 11.99 10.50833 32.4₅ 38.01 48.45 39.63667 7 32.69 21.36 41.6₉ 31.91333 12.25 13.32 12.17 12.58 50.7₂ 28.86 58.12 45.9

Tabel 4. Pengamatan Color Meter pada Suhu Refrigerator

Har

L A B

1 2 3 ẋ 1 2 3 ẋ 1 2 3 ẋ

0 66.7₁ 66.7₂ 66.4₂ 66.6166₇ -17.53 -9.06 -7.11 -11.23333 49.2₉ 49.5 52.5₈ 50.4566₇ 1 68.1 63.4₆ 61.4₆ 64.34 -5.215 -7.675 -8.115 -7.001667 52.3₇ 49.4₃ 49.0₈ 50.2933₃ 2 60.2₄ 51.5₆ 54.4₉ 55.43 -7.87 -7.32 -0.935 -5.375 50.0₆ 39.4 45.1₄ 44.8666₇ 3 69.9₅ 71.1₁ 68.5₂ 69.86 12.45 9.36 16.06 12.62333 52.9₆ 62.3₆ 37.3₄ 50.8866₇ 4 32.7₁ 43.7₄ 46.5₁ 40.9866₇ -8.705 0.85 -0.885 -2.913333 39.1₉ 56.1₅ 52.1₅ 49.1633₃ 5 49.8₉ 31.2₁ 36.8₄ 39.3133₃ 1.585 -1.38 6.255 2.153333 60.6₉ 46.8₄ 38.7₆ 48.7633₃ 6 43.8₈ 38.0₃ 29.0₆ 36.99 4.94 6.43 4.47 5.28 49.4₆ 51.7₈ 28.6₄ 43.2933₃ 7 29.1₄ 35.5₂ 44.3₆ 36.34 4.155 1.04 9.895 5.03 35.1₅ 41.2₄ 25.5₄ 33.9766₇

Tabel 5. Pengamatan Kadar Brix

Hari

Refrigerator

Ruang

1

2

3 ẋ

1

2

3 ẋ

0

1

9.7

12.9

2

8.6

8.3

8.5

9.5

9.4 9.4333

3

12.4

12.1

12.4

12.3

13.7

4

14.2

14.3

14.233

14.8

14

14.9

14.567

5

8.4

8.7

8.8 8.6333

7.7

8.1

8.4 8.0667

6

14

13.7

13.5

13.733

13.6

13.5

13.533

7

13.3

12.6

14.5

13.467

14.1

13.7

12.6

13.467

Tabel 6. Pengamatan Kadar Brix Setelah Faktor Pengenceran

Hari

Refrigerat

or

Ruang

(3)

1

29.1

38.7

2

25.5

28.3

3

36.9

41.1

4

42.7

43.7

5

25.9

24.2

6

41.2

40.6

7

40.4

Tabel 8. Penampakan Kadar Buah

Har

i

Suhu Refrigerator

Suhu Ruang

Warna

Kesegaran

Kondisi

_Kulit

Warna

Kesegaran

Kondis

_{i Kulit}

0 Kuning

kehijauan

*****

Halus

Hijau

kekuninga

n

*****

Halus

1 Kuning

Kehijauan

****

Halus

Kuning

Kehijauan

****

Mulai

Keriput

2 Kuning

kehijauan

****

Halus

Kuning

****

Mulai

Keriput

3 Kuning

Kehijauan

****

Mulai

Keriput

Kuning

****

Mulai

Keriput

4 Kuning

Kehijauan

****

Mulai

Keriput

Kuning

****

Keriput

5 Kuning

Kehijauan

***

Mulai

Keriput

Kuning

**

Keriput

berlebih

6 Kuning

hijau

kecoklata

n

***

Keriput

Kuning

_hitam

**

_berlebih

Keriput

7 Kuning

hijau

kecoklata

***

Keriput

Kuning

hitam

**

Keriput

(4)

n

4.1.2. Analisa Data

Tabel 7. Brix Prediksi

Hari RGB_ref _ruangRGB LAB_ref _ruangLAB 1 35.604 37.907 27.605 37.082 2 24.152 28.649 30.386 32.199 3 33.747 42.203 35.721 37.278 4 39.266 42.385 33.557 37.133 5 28.705 25.24 36.229 35.043 6 43.231 43.563 38.597 44.154 7 37.514 37.89 39.486 34.297

Gambar 4.17. Hubungan antara nilai R vs hari pada berbagai suhu

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Gambar 4.19. Hubungan antara nilai B vs hari pada berbagai suhu

Gambar 4.20. Hubungan antara nilai L vs hari pada berbagai suhu

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Gambar 4.22. Hubungan antara nilai b vs hari pada berbagai suhu

20 25 30 35 40 45 0 5 10 15 20 25 30 35 40 45 50

f(x) = 0.94x + 2.31 R² = 0.94f(x) = 0.74x + 8.92

R² = 0.74

Suhu Refrigerator Linear (Suhu Refrigera-tor)

Suhu Ruangan Linear (Suhu Ruangan)

Brix Observasi Br ix P re di ks i

Gambar 4.23. Hubungan antara Brix Prediksi vs Brix Observasi pada RGB

20 25 30 35 40 45 0 5 10 15 20 25 30 35 40 45 50

f(x) = 0.26x + 27.22 R² = 0.26f(x) = 0.33x + 23.09_{R² = 0.33}

Suhu Refrigator Linear (Suhu Refrigator) Suhu Ruangan

Linear (Suhu Ruangan)

Brix Observasi Br ix P re di ks i

(7)

0 1 2 3 4 5 6 7 8 0 5 10 15 20 25 30 35 40 45 50 Brix Refrigerator Brix Ruangan Hari Br ix

Gambar 4.25. Hubungan antara Brix Observasi vs Hari

Tabel Output:

1. RGB pada suhu refrigerator

Variables Entered/Removed(b) Model Variables Entered Variables Removed Method

1 B, R, G(a) . Enter

a All requested variables entered. b Dependent Variable: Brix

Model Summary(b)

Model R R Square

Adjusted R Square

Std. Error of the Estimate

Durbin-Watson

1 .863(a) .744 .489 5.358290 1.494

a Predictors: (Constant), B, R, G b Dependent Variable: Brix

ANOVA(b)

Model

Sum of

Squares df Mean Square F Sig.

1 Regression 250.680 3 83.560 2.910 .202(a)

Residual 86.134 3 28.711

Total 336.814 6

a Predictors: (Constant), B, R, G b Dependent Variable: Brix

Coefficients(a)

Model

Unstandardized Coefficients

Standardized

Coefficients t Sig. Collinearity Statistics

(8)

1 (Constant) 50.004 29.187 1.713 .185

R .041 .190 .086 .215 .844 .531 1.882

G -.228 .157 -.629 -1.453 .242 .455 2.198

B 1.853 .667 .920 2.777 .069 .777 1.287

a Dependent Variable: Brix

2. RGB pada suhu ruangan

Variables Entered/Removed(b)

Model

Variables Entered

Variables

Removed Method

1 B, R, G(a) . Enter

a All requested variables entered. b Dependent Variable: Brix

Model Summary(b)

Model R R Square

Adjusted R Square

Std. Error of the Estimate

Durbin-Watson

1 .969(a) .940 .880 2.566284 2.375

a Predictors: (Constant), B, R, G b Dependent Variable: Brix

ANOVA(b)

Model

Sum of

Squares df Mean Square F Sig.

1 Regression 308.311 3 102.770 15.605 .025(a)

Residual 19.757 3 6.586

Total 328.069 6

a Predictors: (Constant), B, R, G b Dependent Variable: Brix

Coefficients(a)

Model

Unstandardized Coefficients

Standardized

Coefficients t Sig. Collinearity Statistics

B Std. Error Beta Tolerance VIF B Std. Error

1 (Constant) -25.962 14.317 -1.813 .167

R .570 .102 1.359 5.606 .011 .341 2.929

G -.415 .078 -1.489 -5.340 .013 .258 3.876

B 1.083 .184 1.073 5.882 .010 .604 1.657

a Dependent Variable: Brix

3. LAB pada suhu refrigerator

(9)

Model

Variables Entered

Variables

Removed Method

1 B, A, L(a) . Enter

a All requested variables entered. b Dependent Variable: Brix

Model Summary(b)

Model R R Square

Adjusted R Square

Std. Error of the Estimate

Durbin-Watson

1 .575(a) .331 -.338 8.667814 3.062

a Predictors: (Constant), B, A, L b Dependent Variable: Brix

ANOVA(b)

Model

Sum of

Squares df Mean Square F Sig.

1 Regression 111.421 3 37.140 .494 .711(a)

Residual 225.393 3 75.131

Total 336.814 6

a Predictors: (Constant), B, A, L b Dependent Variable: Brix

Coefficients(a)

Model

Unstandardized Coefficients

Standardized

Coefficients t Sig. Collinearity Statistics

B Std. Error Beta Tolerance VIF B Std. Error

1 (Constant) 46.555 28.357 1.642 .199

L -.169 .314 -.316 -.538 .628 .649 1.541

A .464 .519 .430 .895 .437 .964 1.038

B -.096 .747 -.076 -.128 .906 .633 1.581

a Dependent Variable: Brix

4. LAB pada suhu ruangan

Variables Entered/Removed(b)

Model

Variables Entered

Variables

Removed Method

1 B, A, L(a) . Enter

a All requested variables entered. b Dependent Variable: Brix

(10)

Model R R Square

Adjusted R Square

Std. Error of the Estimate

Durbin-Watson

1 .509(a) .259 -.481 8.999679 2.251

a Predictors: (Constant), B, A, L b Dependent Variable: Brix

ANOVA(b)

Model

Sum of

Squares df Mean Square F Sig.

1 Regression 85.086 3 28.362 .350 .794(a)

Residual 242.983 3 80.994

Total 328.069 6

a Predictors: (Constant), B, A, L b Dependent Variable: Brix

Coefficients(a)

Model

Unstandardized Coefficients

Standardized

Coefficients t Sig. Collinearity Statistics

B Std. Error Beta Tolerance VIF B Std. Error

1 (Constant) 44.280 36.023 1.229 .307

L 1.307 1.610 2.249 .812 .476 .032 31.114

A 1.787 2.116 1.954 .845 .460 .046 21.681

B -1.616 1.700 -1.174 -.951 .412 .162 6.174

a Dependent Variable: Brix

Contoh Perhitungan:

Hari ke -1 pada suhu Refrigerator

1. RGB

FP

=

1 +

Vol . air

(

mL

)

berat buah

(

gr

)

=

1 +

200

100 =

1 +

2 =

3 Kadar Brix

=´

x Nilai Terbaca x FP

(

Faktor Pengenceran

)

=

9,7

x

3 =

29,1

y

=

β

₀

+

β

₁

x

₁

+

β

₂

x

₂

+

β

₃

x

₃

=

50,004

+(

0,041

x

195,5916667

)+ (−

0,228

x

172,90967

)+ (

1,853

x

9,176667

)=

35,604

2. LAB

FP

=

1 +

Vol . air

(

mL

)

berat buah

(

gr

)

=

1 +

200

100 =

1 +

2 =

3 Kadar Brix

=´

x Nilai Terbaca x FP

(

Faktor Pengenceran

)=

9,7

x

3 =

29,1

(11)

Gambar pada Suhu Ruangan:

Gambar 4.9. Hari ke-0 Gambar 4.10. Hari ke-1 Gambar 4.11. Hari ke-2

Gambar 4.12. Hari ke-3 Gambar 4.13. Hari ke-4 Gambar 4.14. Hari ke-5

Gambar 4.15. Hari ke-6 Gambar 4.16. Hari ke-7

Gambar pada Suhu Refrigerator:

Gambar 4.1. Hari ke-0 Gambar 4.2. Hari ke-1 Gambar 4.3. Hari ke-2

(12)

(1)

0 1 2 3 4 5 6 7 8 0 5 10 15 20 25 30 35 40 45 50 Brix Refrigerator Brix Ruangan Hari Br ix

Gambar 4.25. Hubungan antara Brix Observasi vs Hari

Tabel Output:

1. RGB pada suhu refrigerator

Variables Entered/Removed(b) Model Variables Entered Variables Removed Method 1 B, R, G(a) . Enter a All requested variables entered.

b Dependent Variable: Brix

Model Summary(b)

Model R R Square

Adjusted R Square

Std. Error of the Estimate

Durbin-Watson

1 .863(a) .744 .489 5.358290 1.494

a Predictors: (Constant), B, R, G b Dependent Variable: Brix

ANOVA(b)

Model

Sum of

Squares df Mean Square F Sig. 1 Regression 250.680 3 83.560 2.910 .202(a)

Residual 86.134 3 28.711

Total 336.814 6

a Predictors: (Constant), B, R, G b Dependent Variable: Brix

Coefficients(a)

Model

Unstandardized Coefficients

Standardized

Coefficients t Sig. Collinearity Statistics B Std. Error Beta Tolerance VIF B Std. Error

(2)

1 (Constant) 50.004 29.187 1.713 .185

R .041 .190 .086 .215 .844 .531 1.882

G -.228 .157 -.629 -1.453 .242 .455 2.198

B 1.853 .667 .920 2.777 .069 .777 1.287

a Dependent Variable: Brix

2. RGB pada suhu ruangan

Variables Entered/Removed(b)

Model

Variables Entered

Variables

Removed Method 1 B, R, G(a) . Enter a All requested variables entered.

b Dependent Variable: Brix

Model Summary(b)

Model R R Square

Adjusted R Square

Std. Error of the Estimate

Durbin-Watson

1 .969(a) .940 .880 2.566284 2.375

a Predictors: (Constant), B, R, G b Dependent Variable: Brix

ANOVA(b)

Model

Sum of

Squares df Mean Square F Sig. 1 Regression 308.311 3 102.770 15.605 .025(a)

Residual 19.757 3 6.586

Total 328.069 6

a Predictors: (Constant), B, R, G b Dependent Variable: Brix

Coefficients(a)

Model

Unstandardized Coefficients

Standardized

Coefficients t Sig. Collinearity Statistics B Std. Error Beta Tolerance VIF B Std. Error

1 (Constant) -25.962 14.317 -1.813 .167

R .570 .102 1.359 5.606 .011 .341 2.929

G -.415 .078 -1.489 -5.340 .013 .258 3.876

B 1.083 .184 1.073 5.882 .010 .604 1.657

a Dependent Variable: Brix

3. LAB pada suhu refrigerator

(3)

Model

Variables Entered

Variables

Removed Method 1 B, A, L(a) . Enter a All requested variables entered.

b Dependent Variable: Brix

Model Summary(b)

Model R R Square

Adjusted R Square

Std. Error of the Estimate

Durbin-Watson

1 .575(a) .331 -.338 8.667814 3.062

a Predictors: (Constant), B, A, L b Dependent Variable: Brix

ANOVA(b)

Model

Sum of

Squares df Mean Square F Sig. 1 Regression 111.421 3 37.140 .494 .711(a)

Residual 225.393 3 75.131

Total 336.814 6

a Predictors: (Constant), B, A, L b Dependent Variable: Brix

Coefficients(a)

Model

Unstandardized Coefficients

Standardized

Coefficients t Sig. Collinearity Statistics B Std. Error Beta Tolerance VIF B Std. Error

1 (Constant) 46.555 28.357 1.642 .199

L -.169 .314 -.316 -.538 .628 .649 1.541

A .464 .519 .430 .895 .437 .964 1.038

B -.096 .747 -.076 -.128 .906 .633 1.581

a Dependent Variable: Brix

4. LAB pada suhu ruangan

Variables Entered/Removed(b)

Model

Variables Entered

Variables

Removed Method 1 B, A, L(a) . Enter a All requested variables entered.

b Dependent Variable: Brix

(4)

Model R R Square

Adjusted R Square

Std. Error of the Estimate

Durbin-Watson

1 .509(a) .259 -.481 8.999679 2.251

a Predictors: (Constant), B, A, L b Dependent Variable: Brix

ANOVA(b)

Model

Sum of

Squares df Mean Square F Sig. 1 Regression 85.086 3 28.362 .350 .794(a)

Residual 242.983 3 80.994

Total 328.069 6

a Predictors: (Constant), B, A, L b Dependent Variable: Brix

Coefficients(a)

Model

Unstandardized Coefficients

Standardized

Coefficients t Sig. Collinearity Statistics B Std. Error Beta Tolerance VIF B Std. Error

1 (Constant) 44.280 36.023 1.229 .307

L 1.307 1.610 2.249 .812 .476 .032 31.114

A 1.787 2.116 1.954 .845 .460 .046 21.681

B -1.616 1.700 -1.174 -.951 .412 .162 6.174

a Dependent Variable: Brix

Contoh Perhitungan:

Hari ke -1 pada suhu Refrigerator

1. RGB

FP

=

1 +

Vol . air

(

mL

)

berat buah

(

gr

)

=

1 +

200

100 =

1 +

2 =

3 Kadar Brix

=´

x Nilai Terbaca x FP

(

Faktor Pengenceran

)

=9,7

x

3=29,1

y

=

β

₀

+

β

₁

x

₁

+

β

₂

x

₂

+

β

₃

x

₃

=

50,004

+(

0,041

x

195,5916667

)+ (−

0,228

x

172,90967

)+ (

1,853

x

9,176667

)=

35,604

2. LAB

FP

=

1 +

Vol . air

(

mL

)

berat buah

(

gr

)

=

1 +

200

100 =

1 +

2 =

3 Kadar Brix

=´

x Nilai Terbaca x FP

(

Faktor Pengenceran

)=

9,7

x

3 =

29,1

(5)

Gambar pada Suhu Ruangan:

Gambar 4.9. Hari ke-0 Gambar 4.10. Hari ke-1 Gambar 4.11. Hari ke-2

Gambar 4.12. Hari ke-3 Gambar 4.13. Hari ke-4 Gambar 4.14. Hari ke-5

Gambar 4.15. Hari ke-6 Gambar 4.16. Hari ke-7

Gambar pada Suhu Refrigerator:

Gambar 4.1. Hari ke-0 Gambar 4.2. Hari ke-1 Gambar 4.3. Hari ke-2

(6)