PENDUGAAN UMUR SIMPAN SELAI BUAH NENAS (Ananas comosus L. Merr) BERDASARKAN KARAKTERISTIK FISIKOKIMIAWI SELAMA PENYIMPANAN MENGGUNAKAN PERSAMAAN ARRHENIUS - Unika Repository

Lampiran 1. Perhitungan % Sineresis

Ulangan 1



Hari ke-7

1.

Batch 1 suhu 30°C

% sineresis =

=

0,85%

2.

Batch 1 suhu 50°C

% sineresis =

=

2,05%

3.

Batch 2 suhu 40°C

% sineresis =

=

1,16%

4.

Batch 2 suhu 50°C

% sineresis =

=

2,05%



Hari ke-14

1.

Batch 1 suhu 30°C

% sineresis =

=

4,29%

2.

Batch 1 suhu 40°C

% sineresis =

=

3,51%

3.

Batch 1 suhu 50°C

% Sineresis =

100

%

b

b

% sineresis =

=

6,53%

4.

Batch 2 suhu 30°C

% sineresis =

=

3,14%

5.

Batch 2 suhu 40°C

% sineresis =

=

4,45%

6.

Batch 2 suhu 50°C

% sineresis =

=

3,76%



Hari ke-21

1.

Batch 1 suhu 30°C

% sineresis =

=

3,93%

2.

Batch 1 suhu 40°C

% sineresis =

=

0,69%

3.

Batch 1 suhu 50°C

% sineresis =

=

3,93%

4.

Batch 2 suhu 30°C

% sineresis =

=

3,25%

5.

Batch 2 suhu 40°C

=

3,55%

6.

Batch 2 suhu 50°C

% sineresis =

=

3,75%



Hari ke-28

1.

Batch 1 suhu 30°C

% sineresis =

=

1,77%

2.

Batch 1 suhu 40°C

% sineresis =

=

2,77%

3.

Batch 1 suhu 50°C

% sineresis =

=

2,74%

4.

Batch 2 suhu 30°C

% sineresis =

=

4,86%

5.

Batch 2 suhu 40°C

% sineresis =

=

2,77%

6.

Batch 2 suhu 50°C

% sineresis =

=

5,76%

Ulangan 2



Hari ke-7

1.

Batch 1 suhu 30°C

=

2,04%

2.

Batch 1 suhu 50°C

% sineresis =

=

1,53%

3.

Batch 2 suhu 40°C

% sineresis =

=

2,69%

4.

Batch 2 suhu 50°C

% sineresis =

=

0,99%



Hari ke-14

1.

Batch 1 suhu 30°C

% sineresis =

=

1,89%

2.

Batch 1 suhu 40°C

% sineresis =

=

3,09%

3.

Batch 1 suhu 50°C

% sineresis =

=

3,03%

4.

Batch 2 suhu 30°C

% sineresis =

=

2,23%

5.

Batch 2 suhu 40°C

% sineresis =

=

3,09%

% sineresis =

=

2,85%



Hari ke-21

7.

Batch 1 suhu 30°C

% sineresis =

=

1,69%

8.

Batch 1 suhu 40°C

% sineresis =

=

2,99%

9.

Batch 1 suhu 50°C

% sineresis =

=

3,68%

10.

Batch 2 suhu 30°C

% sineresis =

=

5,2%

11.

Batch 2 suhu 40°C

% sineresis =

=

1,16%

12.

Batch 2 suhu 50°C

% sineresis =

=

3,68%



Hari ke-28

1.

Batch 1 suhu 30°C

% sineresis =

=

2,86%

2.

Batch 1 suhu 40°C

=

1,12%

3.

Batch 1 suhu 50°C

% sineresis =

=

1,28%

4.

Batch 2 suhu 30°C

% sineresis =

=

2,12%

5.

Batch 2 suhu 40°C

% sineresis =

=

3,06%

6.

Batch 2 suhu 50°C

% sineresis =

=

2,37%

Ulangan 3



Hari ke-7

1.

Batch 2 suhu 40°C

% sineresis =

=

2,91%

2.

Batch 2 suhu 50°C

% sineresis =

=

2,8%



Hari ke-14

1.

Batch 1 suhu 30°C

% sineresis =

=

2,88%

2.

Batch 1 suhu 40°C

=

3,83%

3.

Batch 1 suhu 50°C

% sineresis =

=

3,53%

4.

Batch 2 suhu 30°C

% sineresis =

=

3,28%

5.

Batch 2 suhu 40°C

% sineresis =

=

4,3%

6.

Batch 2 suhu 50°C

% sineresis =

=

3,34%



Hari ke-21

13.

Batch 1 suhu 30°C

% sineresis =

=

2,49%

14.

Batch 1 suhu 40°C

% sineresis =

=

3,06%

15.

Batch 1 suhu 50°C

% sineresis =

=

4,45%

16.

Batch 2 suhu 30°C

% sineresis =

=

4,14%

% sineresis =

=

2,63%

18.

Batch 2 suhu 50°C

% sineresis =

=

4,98%



Hari ke-28

1.

Batch 1 suhu 30°C

% sineresis =

=

5,62%

2.

Batch 1 suhu 40°C

% sineresis =

=

3,17%

3.

Batch 1 suhu 50°C

% sineresis =

=

3,58%

4.

Batch 2 suhu 30°C

% sineresis =

=

3,74%

5.

Batch 2 suhu 40°C

% sineresis =

=

4,49%

6.

Batch 2 suhu 50°C

% sineresis =

Lampiran 5. Persamaan Linear Ordo 0 Berdasarkan Variabel Sineresis

Lampiran 8. Perhitungan Umur Simpan Selai Nenas Pada Suhu Ruang (28

o

C)



Pendugaan berdasarkan variabel L (

Lightness

)

y

= -3,889x + 11,30

ln

= (-3,889 × 1/T) + 11,30

ln

= (-3,889 ×

) + 11,30

= 0,1978

Pendugaan umur simpan berdasarkan ordo 0

t

s

=

= 84 hari



Pendugaan berdasarkan variabel a (

redness

)

y

= -3436x + 9,287

ln

= (-3436 × 1/T) + 9,287

ln

= (-3436 ×

) + 9,287

= 0,119

Pendugaan umur simpan berdasarkan ordo 0

t

s

=

= 88 hari



Pendugaan berdasarkan variabel b (

yellowness

)

y

= -3065x + 8,463

ln

= (-3065 × 1/T) + 8,463

= 0,1791

Pendugaan umur simpan berdasarkan ordo 0

t

s

=

= 88 hari



Pendugaan berdasarkan variabel sineresis

y

= 255x + 2,947

ln

= (255 × 1/T) + 2,947

ln

= (255 ×

) + 2,947

= 0,1225

Pendugaan umur simpan berdasarkan ordo 0

t

s

=

= 489 hari



Pendugaan berdasarkan variabel Aw

y

= -5670x + 12,14

ln

= (-5670 × 1/T) + 12,14

ln

= (-5670 ×

) + 12,14

= 1,2343 × 10

-3

Pendugaan umur simpan berdasarkan ordo 0

t

s

=

= 97 hari



Pendugaan berdasarkan variabel pH

ln

= (-5205× 1/T) + 12,17

ln

= (-5205 ×

) + 12,17

= 5,962x10

-3

Pendugaan umur simpan berdasarkan ordo 0

t

s

=

Lampiran 9. Hasil Olahan Data

9.1.

Uji Pendahuluan

Descriptive Statistics

Dependent Variable: viskositas

pektin waktu Mean Std. Deviation N

0,5% 15 menit _{300.0000 6.32456 6}

25 menit 250.0000 6.32456 6

35 menit _{300.0000 10.95445 6}

Total 283.3333 25.43735 18

1% 15 menit _{271.6667 23.16607 6}

25 menit 220.0000 20.00000 6 35 menit _{366.6667 25.81989 6}

Total 286.1111 66.16725 18

1,5% 15 menit _{325.0000 27.38613 6} 25 menit 275.0000 27.38613 6 35 menit _{326.6667 19.66384 6}

Total 308.8889 34.10863 18

Total 15 menit _{298.8889 29.87993 18} 25 menit 248.3333 29.75389 18 35 menit _{331.1111 33.76195 18}

Total 292.7778 46.02775 54

Descriptive Statistics

Dependent Variable: pH

pektin waktu Mean Std. Deviation N

0,5% 15 menit _{2.7650 .00837 6}

25 menit 2.7300 .04243 6

35 menit _{2.7100 .02000 6}

Total 2.7350 .03485 18

1% 15 menit _{2.9183 .03125 6}

25 menit 2.7500 .01673 6

35 menit _{2.8117 .01602 6}

Total 2.8267 .07460 18

1,5% 15 menit _{2.5083 .01835 6}

25 menit 2.8150 .01761 6

35 menit 2.6067 .02422 6

Total _{2.6433 .13293 18}

Total 15 menit 2.7306 .17521 18

25 menit _{2.7650 .04579 18}

35 menit 2.7094 .08822 18

Descriptive Statistics

Dependent Variable: kadar_gula

pektin waktu Mean Std. Deviation N

0,5% 15 menit _{64.8333 1.32916 6}

25 menit 68.0000 2.28035 6

35 menit _{70.8333 2.78687 6}

Total 67.8889 3.26999 18

1% 15 menit 66.8333 2.13698 6

25 menit _{66.3333 1.50555 6}

35 menit 68.8333 1.32916 6

Total _{67.3333 1.94029 18}

1,5% 15 menit 65.8333 1.72240 6

25 menit _{61.6667 2.80476 6}

35 menit 67.0000 1.54919 6

Total _{64.8333 3.07265 18}

Total 15 menit 65.8333 1.85504 18

25 menit _{65.3333 3.48104 18}

35 menit 68.8889 2.47074 18

Total _{66.6852 3.07653 54}

Descriptive Statistics

Dependent Variable: Aw

pektin waktu Mean Std. Deviation N

0,5% 15 menit _{.84200 .003162 6}

25 menit .83133 .002338 6

35 menit _{.82300 .003795 6}

Total .83211 .008533 18

1% 15 menit .84600 .004099 6

25 menit _{.82817 .005636 6}

35 menit .87800 .004604 6

Total _{.85072 .021693 18}

1,5% 15 menit .83400 .003098 6

25 menit _{.87100 .035805 6}

35 menit .83283 .006178 6

Total _{.84594 .026902 18}

Total 15 menit .84067 .006088 18

25 menit _{.84350 .028110 18}

35 menit .84461 .025079 18

9.1.

Nilai L (Lightness)

Descriptive Statistics

Dependent Variable: l

minggu suhu Mean Std. Deviation N

1.00 1.00 56.9950 1.58447 6

2.00 _{57.5400 1.95620 6}

3.00 57.0300 1.75579 6

Total 57.1883 1.68413 18

2.00 1.00 _{51.1700 1.20569 6}

2.00 52.6133 .95349 6

3.00 _{58.1133 1.44381 6}

Total 53.9656 3.28386 18

3.00 1.00 _{54.4833 1.99865 6}

2.00 44.2733 1.03577 6

3.00 _{42.6600 .87448 6}

Total 47.1389 5.54361 18

4.00 1.00 _{50.1900 .39527 6}

2.00 49.7933 .82425 6

3.00 _{48.6167 2.39760 6}

Total 49.5333 1.55214 18

5.00 1.00 _{49.5633 .04033 6}

2.00 49.2000 .06986 6

3.00 _{44.1800 .45007 6}

Total 47.6478 2.53992 18

Total 1.00 52.4803 3.10604 30

2.00 _{50.6840 4.55382 30}

3.00 50.1200 6.66550 30

Total _{51.0948 5.04001 90}

Duncan – Lama Penyimpanan

minggu

N Subset

1 2 3 4 1

3.00 _{18 47.1389}

5.00 18 47.6478

4.00 _{18 49.5333}

2.00 18 53.9656

1.00 _{18 57.1883}

Sig. .254 1.000 1.000 1.000

Means for groups in homogeneous subsets are displayed. Based on Type III Sum of Squares

Duncan – Suhu Penyimpanan

suhu

N Subset

1 2 1

3.00 _{30 50.1200}

2.00 30 50.6840

1.00 _{30 52.4803}

Sig. .104 1.000

Means for groups in homogeneous subsets are displayed. Based on Type III Sum of Squares

The error term is Mean Square(Error) = 1.766. a Uses Harmonic Mean Sample Size = 30.000. b Alpha = .05.

9.2.

Nilai a (redness)

Descriptive Statistics

Dependent Variable: a

minggu suhu Mean Std. Deviation N

1.000 1.00 -1.8900 .11798 6

2.00 _{-1.9800 .19960 6}

3.00 -1.9083 .22248 6

Total -1.9261 .17879 18

2.000 1.00 _{-.7800 .43964 6}

2.00 -1.4167 .09564 6

3.00 _{-1.2500 .17866 6}

Total -1.1489 .38193 18

3.000 1.00 _{-.7367 .10746 6}

2.00 1.1100 .07321 6

3.00 _{3.2200 .48058 6}

Total 1.1978 1.68513 18

4.000 1.00 _{1.6167 .32216 6}

2.00 2.4433 1.02209 6

3.00 _{4.2500 .39527 6}

Total 2.7700 1.28994 18

5.000 1.00 _{1.9633 .47001 6}

2.00 3.0367 .53936 6

3.00 _{5.6167 .24022 6}

Total 3.5389 1.62984 18

Total 1.00 .0347 1.55175 30

2.00 _{.6387 2.10760 30}

3.00 1.9857 3.08186 30

Duncan – Lama Penyimpanan

minggu

N Subset

1 2 3 4 5 1

1.000 _{18 -1.9261}

2.000 18 -1.1489

3.000 _{18 1.1978}

4.000 18 2.7700

5.000 _{18 3.5389}

Sig. 1.000 1.000 1.000 1.000 1.000

Means for groups in homogeneous subsets are displayed. Based on Type III Sum of Squares

The error term is Mean Square(Error) = .164. a Uses Harmonic Mean Sample Size = 18.000. b Alpha = .05.

Duncan – Suhu Penyimpanan

suhu

N Subset

1 2 3 1

1.00 30 .0347

2.00 _{30 .6387}

3.00 30 1.9857

Sig. _{1.000 1.000 1.000}

Means for groups in homogeneous subsets are displayed. Based on Type III Sum of Squares

9.3.

Nilai b (yellowness)

Descriptive Statistics

Dependent Variable: b

minggu suhu Mean Std. Deviation N

1.000 1.00 19.7667 .77050 6

2.00 19.6433 .62927 6

3.00 _{19.7067 .78186 6}

Total 19.7056 .68815 18

2.000 1.00 _{20.4700 .98399 6}

2.00 18.7133 .80062 6

3.00 _{21.7500 1.95379 6}

Total 20.3111 1.79908 18

3.000 1.00 _{19.7333 1.23911 6}

2.00 18.9667 .79420 6

3.00 _{19.1467 .78140 6}

Total 19.2822 .96444 18

4.000 1.00 _{10.2700 .42830 6}

2.00 11.5100 1.17303 6

3.00 _{10.7133 .37866 6}

Total 10.8311 .88290 18

5.000 1.00 _{15.9033 .66485 6}

2.00 11.5400 .72515 6

3.00 8.1267 .81473 6

Total _{11.8567 3.34743 18}

Total 1.00 17.2287 3.97847 30

2.00 _{16.0747 3.87126 30}

3.00 15.8887 5.59775 30

Total _{16.3973 4.53942 90}

Duncan – Lama Penyimpanan

minggu

N Subset

1 2 3 4 1

4.000 _{18 10.8311}

5.000 18 11.8567

3.000 18 19.2822

1.000 _{18 19.7056 19.7056}

2.000 18 20.3111

Sig. _{1.000 1.000 .179 .056}

Means for groups in homogeneous subsets are displayed. Based on Type III Sum of Squares

Duncan – Suhu Penyimpanan

suhu

N Subset

1 2 1

3.00 30 15.8887

2.00 _{30 16.0747}

1.00 30 17.2287

Sig. _{.444 1.000}

Means for groups in homogeneous subsets are displayed. Based on Type III Sum of Squares

The error term is Mean Square(Error) = .876. a Uses Harmonic Mean Sample Size = 30.000. b Alpha = .05.

9.4.

Variabel Sineresis

Descriptive Statistics

Dependent Variable: sineresis

minggu suhu Mean Std. Deviation N

1.000 1.00 .0000 .00000 6

2.00 _{.0000 .00000 6}

3.00 .0000 .00000 6

Total _{.0000 .00000 18}

2.000 1.00 .4817 .83571 6

2.00 _{1.1267 1.37357 6}

3.00 1.4133 .96026 6

Total _{1.0072 1.09191 18}

3.000 1.00 2.8617 .96020 6

2.00 _{3.5683 .82516 6}

3.00 3.8083 1.36914 6

Total _{3.4128 1.09258 18}

4.000 1.00 3.4500 1.25126 6

2.00 _{2.3467 1.14924 6}

3.00 4.2400 .53785 6

Total _{3.3456 1.25395 18}

5.000 1.00 3.4950 1.53025 6

2.00 2.4477 1.58488 6

3.00 _{3.3250 1.56407 6}

Total 3.0892 1.53948 18

Total 1.00 _{2.0577 1.81802 30}

2.00 1.8979 1.62890 30

3.00 _{2.5573 1.89979 30}

Duncan – Lama Penyimpanan

minggu

N Subset

1 2 3 1

1.000 _{18 .0000}

2.000 18 1.0072

5.000 _{18 3.0892}

4.000 18 3.3456

3.000 _{18 3.4128}

Sig. 1.000 1.000 .402

Means for groups in homogeneous subsets are displayed. Based on Type III Sum of Squares

The error term is Mean Square(Error) = 1.164. a Uses Harmonic Mean Sample Size = 18.000. b Alpha = .05.

Duncan – Suhu Penyimpanan

suhu

N Subset

1 2 1

2.00 _{30 1.8979}

1.00 30 2.0577 2.0577

3.00 _{30 2.5573}

Sig. .568 .077

Means for groups in homogeneous subsets are displayed. Based on Type III Sum of Squares

9.1.

Variabel Aw

Descriptive Statistics

Dependent Variable: aw

minggu suhu Mean Std. Deviation N

1.00 1.00 _{.8047 .00294 6}

2.00 .8060 .00329 6

3.00 _{.8050 .00228 6}

Total .8052 .00276 18

2.00 1.00 .8118 .01137 6

2.00 _{.8587 .02663 6}

3.00 .8587 .02565 6

Total _{.8431 .03092 18}

3.00 1.00 .8230 .00415 6

2.00 _{.8713 .01412 6}

3.00 .8675 .03409 6

Total _{.8539 .03025 18}

4.00 1.00 .8312 .01303 6

2.00 _{.8875 .00657 6}

3.00 .8903 .00524 6

Total _{.8697 .02927 18}

5.00 1.00 .8587 .04337 6

2.00 _{.9097 .01787 6}

3.00 .9318 .04168 6

Total _{.9001 .04639 18}

Total 1.00 .8259 .02728 30

2.00 _{.8666 .03837 30}

3.00 .8707 .04896 30

Total _{.8544 .04379 90}

Duncan – Lama Penyimpanan

minggu

N Subset

1 2 3 4 1

1.00 _{18 .8052}

2.00 18 .8431

3.00 _{18 .8539}

4.00 18 .8697

5.00 18 .9001

Sig. _{1.000 .137 1.000 1.000}

Means for groups in homogeneous subsets are displayed. Based on Type III Sum of Squares

Duncan – Suhu Penyimpanan

suhu

N Subset

1 2 1

1.00 _{30 .8259}

2.00 30 .8666

3.00 _{30 .8707}

Sig. 1.000 .474

Means for groups in homogeneous subsets are displayed. Based on Type III Sum of Squares

The error term is Mean Square(Error) = .000. a Uses Harmonic Mean Sample Size = 30.000. b Alpha = .05.

9.2.

Variabel pH

Descriptive Statistics

Dependent Variable: ph

minggu suhu Mean Std. Deviation N

1.00 1.00 3.3250 .00837 6

2.00 _{3.3700 .01414 6}

3.00 3.3700 .00632 6

Total _{3.3550 .02383 18}

2.00 1.00 3.3100 .00894 6

2.00 3.2200 .01414 6

3.00 _{3.3200 .01265 6}

Total 3.2833 .04765 18

3.00 1.00 _{3.2800 .00632 6}

2.00 3.1400 .01265 6

3.00 _{3.1800 .01265 6}

Total 3.2000 .06145 18

4.00 1.00 _{3.2500 .02000 6}

2.00 2.9800 .00632 6

3.00 _{2.9700 .00894 6}

Total 3.0667 .13403 18

5.00 1.00 _{3.1200 .01789 6}

2.00 2.9700 .01789 6

3.00 _{2.9500 .00632 6}

Total 3.0133 .07934 18

Total 1.00 _{3.2570 .07548 30}

2.00 3.1360 .15391 30

3.00 3.1580 .17656 30

Duncan – Lama Penyimpanan

minggu

N Subset

1 2 3 4 5 1

5.00 _{18 3.0133}

4.00 18 3.0667

3.00 _{18 3.2000}

2.00 18 3.2833

1.00 _{18 3.3550}

Sig. 1.000 1.000 1.000 1.000 1.000

Means for groups in homogeneous subsets are displayed. Based on Type III Sum of Squares

The error term is Mean Square(Error) = .000. a Uses Harmonic Mean Sample Size = 18.000. b Alpha = .05.

Duncan – Suhu Penyimpanan

suhu

N Subset

1 2 3 1

2.00 _{30 3.1360}

3.00 30 3.1580

1.00 _{30 3.2570}

Sig. 1.000 1.000 1.000

Means for groups in homogeneous subsets are displayed. Based on Type III Sum of Squares

Lampiran 10. Uji Normalitas Data

10.1. Uji Normalitas L (Lightness)

minggu

Kolmogorov-Smirnov(a) Shapiro-Wilk

Statistic df Sig. Statistic df Sig.

L 1.00 _{.258 18 .003 .800 18 .002}

2.00 .213 18 .030 .889 18 .036

3.00 _{.291 18 .000 .791 18 .001}

4.00 .315 18 .000 .619 18 .000

5.00 _{.390 18 .000 .675 18 .000}

a Lilliefors Significance Correction

10.2. Uji Normalitas a (redness)

minggu

Kolmogorov-Smirnov(a) Shapiro-Wilk

Statistic df Sig. Statistic df Sig.

a 1.00 _{.255 18 .003 .878 18 .024}

2.00 .358 18 .000 .761 18 .000

3.00 _{.193 18 .075 .875 18 .022}

4.00 .272 18 .001 .824 18 .003

5.00 _{.208 18 .039 .858 18 .011}

a Lilliefors Significance Correction

10.3. Uji Normalias b (yellowness)

minggu

Kolmogorov-Smirnov(a) Shapiro-Wilk

Statistic df Sig. Statistic df Sig.

B 1.00 _{.192 18 .077 .837 18 .005}

2.00 .189 18 .088 .892 18 .042

3.00 _{.181 18 .123 .895 18 .048}

4.00 .221 18 .020 .821 18 .003

5.00 _{.181 18 .124 .909 18 .083}

10.4. Uji Normalitas Sineresis

minggu

Kolmogorov-Smirnov(a) Shapiro-Wilk

Statistic df Sig. Statistic df Sig.

sineresis 2.00 .266 18 .002 .828 18 .004

3.00 .138 18 .200(*) .912 18 .093

4.00 _{.120 18 .200(*) .956 18 .525}

5.00 .090 18 .200(*) .984 18 .982

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

b sineresis is constant when minggu = 1.00. It has been omitted.

10.5. Uji normalitas Aw

minggu

Kolmogorov-Smirnov(a) Shapiro-Wilk

Statistic df Sig. Statistic df Sig.

Aw 1.00 _{.222 18 .019 .912 18 .094}

2.00 .152 18 .200(*) .953 18 .468

3.00 _{.269 18 .001 .810 18 .002}

4.00 .292 18 .000 .787 18 .001

5.00 _{.166 18 .200(*) .913 18 .096}

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

10.6. Uji Normalitas pH

minggu

Kolmogorov-Smirnov(a) Shapiro-Wilk

Statistic df Sig. Statistic df Sig.

Ph 1.00 _{.236 18 .009 .866 18 .015}

2.00 .303 18 .000 .804 18 .002

3.00 .239 18 .008 .834 18 .005

4.00 _{.383 18 .000 .677 18 .000}

5.00 .282 18 .001 .754 18 .000