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

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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 i

L A B

1 2 3 ẋ 1 2 3 ẋ 1 2 3 ẋ

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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 i

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

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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

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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

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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

Coefficients(a)

Model

Unstandardized Coefficients

Standardized

Coefficients t Sig. Collinearity Statistics

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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

Model Summary(b)

Model R R Square

Adjusted R Square

Durbin-Watson

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

ANOVA(b)

Model

Sum of

1 Regression 308.311 3 102.770 15.605 .025(a)

Residual 19.757 3 6.586

Total 328.069 6

Coefficients(a)

Model

Standardized

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

3. LAB pada suhu refrigerator

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Model

Variables Entered

Variables

Removed Method

1 B, A, L(a) . Enter

Model Summary(b)

Model R R Square

Adjusted R Square

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

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

Residual 225.393 3 75.131

Total 336.814 6

Coefficients(a)

Model

Standardized

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

4. LAB pada suhu ruangan

Variables Entered/Removed(b)

Model

Variables Entered

Variables

Removed Method

1 B, A, L(a) . Enter

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Model R R Square

Adjusted R Square

Durbin-Watson

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

ANOVA(b)

Model

Sum of

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

Residual 242.983 3 80.994

Total 328.069 6

Coefficients(a)

Model

Standardized

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

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

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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

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