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Lampiran 1. Perhitungan Sineresis Selai Stroberi
Sineresis = 100A
B-A x
1.1. Minggu ke-0
• Suhu 30°C
%0%1000,0260
0260,00260,0 Sineresis =−
= x
%0%1000,0220
0220,00220,0 Sineresis =−
= x
%0%1000,0250
0250,00250,0 Sineresis =−
= x
%1000,0245
0245,00245,0 Sineresis x−= = 0%
%0%1000,0250
0250,00250,0 Sineresis =−
= x
%0%1000,0255
0255,00255,0 Sineresis =−
= x
• Suhu 40°C
%0%1000,0255
0255,00255,0 Sineresis =−
= x
%1000,0270
0270,00270,0 Sineresis x−= = 0%
%1000,0245
0245,00245,0 Sineresis x−= = 0%
%0%1000,0260
0260,00260,0 Sineresis =−
= x
%0%1000,0235
0235,00235,0 Sineresis =−
= x
%1000,0245
0245,00245,0 Sineresis x−= = 0%
• Suhu 50°C
%1000,0245
0245,00245,0 Sineresis x−= = 0%
%0%1000,0260
0260,00260,0 Sineresis =−
= x
%1000,0245
0245,00245,0 Sineresis x−= = 0%
%1000,0245
0245,00245,0 Sineresis x−= = 0%
%0%1000,0220
0220,00220,0 Sineresis =−
= x
%1000,0270
0270,00270,0 Sineresis x−= = 0%
1.2. Minggu ke-1
• Suhu 30°C
%1000,0270
0270,00270,0 Sineresis x−= = 0%
%1000,0245
0245,00245,0 Sineresis x−= = 0%
%0%1000,0260
0260,00260,0 Sineresis =−
= x
%0%1000,0250
0250,00250,0 Sineresis =−
= x
%1000,0245
0245,00245,0 Sineresis x−= = 0%
%0%1000,0255
0255,00255,0 Sineresis =−
= x
• Suhu 40°C
%0%1000,0265
0265,00265,0 Sineresis =−
= x
%0%1000,0280
0280,00280,0 Sineresis =−
= x
%0%1000,0220
0220,00220,0 Sineresis =−
= x
%0%1000,0250
0250,00250,0 Sineresis =−
= x
%0%1000,0235
0235,00235,0 Sineresis =−
= x
%1000,0270
0270,00270,0 Sineresis x−= = 0%
• Suhu 50°C
%1000,0250
0245,00250,0 Sineresis x−= = 2%
%1000,0245
0240,00245,0 Sineresis x−= = 2,041%
%0%1000,0255
0255,00255,0 Sineresis =−
= x
%1000,0280
0275,00280,0 Sineresis x−= = 1,786%
%1000,0250
0245,00250,0 Sineresis x−= = 2%
%0%1000,0220
0220,00220,0 Sineresis =−
= x
1.3. Minggu ke-2
• Suhu 30°C
%0%1000,0195
0195,00195,0 Sineresis =−
= x
%1000,0270
0270,00270,0 Sineresis x−= = 0%
%0%1000,0255
0255,00255,0 Sineresis =−
= x
%1000,0270
0270,00270,0 Sineresis x−= = 0%
%0%1000,0235
0235,00235,0 Sineresis =−
= x
• Suhu 40°C
%1000,0245
0245,00245,0 Sineresis x−= = 0%
%1000,0220
0210,00220,0 Sineresis x−= = 4,545%
%0%1000,0255
0255,00255,0 Sineresis =−
= x
%0%1000,0265
0265,00265,0 Sineresis =−
= x
%1000,0270
0270,00270,0 Sineresis x−= = 0%
%0%1000,0265
0265,00265,0 Sineresis =−
= x
%0%1000,0255
0255,00255,0 Sineresis =−
= x
• Suhu 50°C
%1000,0280
0265,00280,0 Sineresis x−= = 5,357%
%1000,0260
0250,00260,0 Sineresis x−= = 3,846%
%0%1000,0255
0255,00255,0 Sineresis =−
= x
%0%1000,0280
0280,00280,0 Sineresis =−
= x
%1000,0265
0255,00265,0 Sineresis x−= = 3,774%
%1000,0260
0240,00260,0 Sineresis x−= = 7,692%
1.4. Minggu ke-3
• Suhu 30°C
%0%1000,0220
0220,00220,0 Sineresis =−
= x
%1000,0145
0140,00145,0 Sineresis x−= = 3,448%
%0%1000,0195
0195,00195,0 Sineresis =−
= x
%0%1000,0280
0280,00280,0 Sineresis =−
= x
%1000,0260
0255,00260,0 Sineresis x−= = 1,923%
%0%1000,0255
0255,00255,0 Sineresis =−
= x
• Suhu 40°C
%1000,0215
0210,00215,0 Sineresis x−= = 2,326%
%0%1000,0220
0220,00220,0 Sineresis =−
= x
%1000,0200
0195,00200,0 Sineresis x−= = 2,5%
%0%1000,0265
0265,00265,0 Sineresis =−
= x
%1000,0145
0140,00145,0 Sineresis x−= = 3,448%
%0%1000,0255
0255,00255,0 Sineresis =−
= x
• Suhu 50°C
%1000,0260
0240,00260,0 Sineresis x−= = 7,692%
%1000,0215
0195,00215,0 Sineresis x−= = 9,302%
%1000,0240
0230,00240,0 Sineresis x−= = 4,667%
%0%1000,0265
0265,00265,0 Sineresis =−
= x
%1000,0275
0270,00275,0 Sineresis x−= = 1,818%
%1000,0200
0185,00200,0 Sineresis x−= = 7,5%
1.5. Minggu ke-4
• Suhu 30°C
%1000,0255
0250,00255,0 Sineresis x−= = 1,961%
%1000,0220
0210,00220,0 Sineresis x−= = 4,545%
%1000,0235
0230,00235,0 Sineresis x−= = 2,128%
%1000,0260
0250,00260,0 Sineresis x−= = 3,846%
%1000,0255
0240,00255,0 Sineresis x−= = 5,882%
%1000,0205
0200,00205,0 Sineresis x−= = 2,439%
• Suhu 40°C
%1000,0220
0200,00220,0 Sineresis x−= = 9,091%
%1000,0275
0270,00275,0 Sineresis x−= = 2,381%
%1000,0230
0210,00230,0 Sineresis x−= = 4,348%
%1000,0245
0235,00245,0 Sineresis x−= = 4,082%
%0%1000,0265
0265,00265,0 Sineresis =−
= x
%1000,0260
0250,00260,0 Sineresis x−= = 3,846%
• Suhu 50°C
%1000,0235
0195,00235,0 Sineresis x−= = 17,021%
%1000,0180
0165,00180,0 Sineresis x−= = 8,333%
%1000,0260
0250,00260,0 Sineresis x−= = 1,923%
%1000,0280
0270,00280,0 Sineresis x−= = 3,571%
%1000,0235
0210,00235,0 Sineresis x−= = 10,870%
%1000,0205
0195,00205,0 Sineresis x−= = 4,878%
Lampiran 2. Persamaan Linear Selai Stroberi Selama Penyimpanan 2.1. Lightness
(A) (B)
(C) (D)
(E) (F) Gambar 20. Persamaan Linear Selai Stroberi Selama Penyimpanan Berdasarkan Parameter
Lightness pada (A) Ordo Nol Suhu 30°C, (B) Ordo Satu Suhu 30°C, (C) Ordo Nol Suhu 40°C, (D) Ordo Satu Suhu 40°C, (E) Ordo Nol Suhu 50°C, (F) Ordo Satu Suhu 50°C.
2.2. Redness
(A) (B)
(C) (D)
(E) (F) Gambar 21. Persamaan Linear Selai Stroberi Selama Penyimpanan Berdasarkan Parameter
Redness pada (A) Ordo Nol Suhu 30°C, (B) Ordo Satu Suhu 30°C, (C) Ordo Nol Suhu 40°C, (D) Ordo Satu Suhu 40°C, (E) Ordo Nol Suhu 50°C, (F) Ordo Satu Suhu 50°C.
2.3. Yellowness
(A) (B)
(C) (D)
(E) (F)
Gambar 22. Persamaan Linear Selai Stroberi Selama Penyimpanan Berdasarkan Parameter Yellowness pada (A) Ordo Nol Suhu 30°C, (B) Ordo Satu Suhu 30°C, (C) Ordo Nol Suhu 40°C, (D) Ordo Satu Suhu 40°C, (E) Ordo Nol Suhu 50°C, (F) Ordo Satu Suhu 50°C.
2.4. Sineresis
(A) (B)
(C) Gambar 23. Persamaan Linear Selai Stroberi Selama Penyimpanan Berdasarkan Parameter
Sineresis pada (A) Ordo Nol Suhu 30°C, (B) Ordo Nol Suhu 40°C, (C) Ordo Nol Suhu 50°C.
2.5. Aw
(A) (B)
(C) (D)
(E) (F)
Gambar 24. Persamaan Linear Selai Stroberi Selama Penyimpanan Berdasarkan Parameter Aw pada (A) Ordo Nol Suhu 30°C, (B) Ordo Satu Suhu 30°C, (C) Ordo Nol Suhu 40°C, (D) Ordo Satu Suhu 40°C, (E) Ordo Nol Suhu 50°C, (F) Ordo Satu Suhu 50°C.
2.6. pH
(A) (B)
(C) (D)
(E) (F)
Gambar 25. Persamaan Linear Selai Stroberi Selama Penyimpanan Berdasarkan Parameter pH pada (A) Ordo Nol Suhu 30°C, (B) Ordo Satu Suhu 30°C, (C) Ordo Nol Suhu 40°C, (D) Ordo Satu Suhu 40°C, (E) Ordo Nol Suhu 50°C, (F) Ordo Satu Suhu 50°C.
Lampiran 3. Perhitungan Umur Simpan 3.1. Berdasarkan Variabel Lightness y = - 3375 x + 8,675
675,8)T1(-3375 k ln += x
675,8)3011(-3375 k ln += x
ln k = -11,213 + 8,675 = -2,538 k = 0,079
k|Qe-Qo| t =
hari 1180,079
36,90,079
|33,71-43,07| t ===
3.2. Berdasarkan Variabel Redness y = - 2080 x + 4,911
911,4)T1(-2080 k ln += x
911,4)3011(-2080 k ln += x
ln k = -1,999 k = 0,13
k|Qe-Qo| t =
hari 790,13
71,100,13
|0,83-11,54| t ===
3.3. Berdasarkan Variabel Yellowness y = - 1337 x + 1,640
640,1)T1(-1337 k ln += x
640,1)3011(-1337 k ln += x
ln k = -2,802 k = 0,06
k|Qe-Qo|ln t =
hari 1140,06936,6
0,06|(-3,912)-3,024| t ===
3.4. Berdasarkan Variabel Sineresis y = - 4525 x + 12,660
66,12)T1(-4525 k ln += x
66,12)3011(-4525 k ln += x
ln k = -2,373 k = 0,09
k|Qe-Qo| t =
hari 66709,0
600,09
|60-0| t ===
3.5. Berdasarkan Variabel Aw y = - 1337 x + 1,640
73,19)T1(-8045 k ln += x
73,19)3011(-8045 k ln += x
ln k = -6,998 k = 0,0009
k|Qe-Qo|ln t =
hari 1490,0009
137,00,0009
|(-0,061)-(-0,198)| t ===
3.6. Berdasarkan Variabel pH y = - 5695 x + 13,88
88,13)T1(-5695 k ln += x
88,13)3011(-5695 k ln += x
ln k = -5,040 k = 0,006
k|Qe-Qo|ln t =
hari60006,036,0
006,0|3,10-3,46|t ===
Lampiran 4. Uji Normalitas Data 4.1. Lightness
Tests of Normality
Minggu
Kolmogorov-Smirnov(a) Shapiro-Wilk
Statistic df Sig. Statistic df Sig. warna_L 0 .160 18 .200(*) .955 18 .507
1 .189 18 .088 .918 18 .1202 .163 18 .200(*) .949 18 .4113 .163 18 .200(*) .871 18 .0194 .153 18 .200(*) .971 18 .807
* This is a lower bound of the true significance. a Lilliefors Significance Correction 4.2. Redness Tests of Normality
Minggu
Kolmogorov-Smirnov(a) Shapiro-Wilk
Statistic df Sig. Statistic df Sig. warna_a 0 .255 18 .003 .826 18 .004
1 .227 18 .015 .875 18 .0222 .121 18 .200(*) .973 18 .8573 .184 18 .109 .934 18 .2254 .187 18 .096 .904 18 .067
* This is a lower bound of the true significance. a Lilliefors Significance Correction 4.3. Yellowness
Tests of Normality
Minggu
Kolmogorov-Smirnov(a) Shapiro-Wilk
Statistic df Sig. Statistic df Sig. warna_b 0 .134 18 .200(*) .962 18 .639
1 .177 18 .141 .955 18 .5102 .206 18 .043 .832 18 .0053 .135 18 .200(*) .930 18 .1914 .151 18 .200(*) .915 18 .105
* This is a lower bound of the true significance. a Lilliefors Significance Correction
4.4. Sineresis
Tests of Normality(b)
Minggu
Kolmogorov-Smirnov(a) Shapiro-Wilk
Statistic df Sig. Statistic df Sig. sineresis 1 .476 18 .000 .531 18 .000
2 .399 18 .000 .680 18 .0003 .238 18 .008 .805 18 .0024 .251 18 .004 .783 18 .001
a Lilliefors Significance Correction b sineresis is constant when Minggu = 0. It has been omitted. 4.5. Aw
Tests of Normality
Minggu
Kolmogorov-Smirnov(a) Shapiro-Wilk
Statistic df Sig. Statistic df Sig. nilai_aw 0 .164 18 .200(*) .892 18 .041
1 .122 18 .200(*) .964 18 .6892 .157 18 .200(*) .903 18 .0663 .170 18 .183 .868 18 .0174 .160 18 .200(*) .916 18 .109
* This is a lower bound of the true significance. a Lilliefors Significance Correction 4.6. pH
Tests of Normality
Minggu
Kolmogorov-Smirnov(a) Shapiro-Wilk
Statistic df Sig. Statistic df Sig. nilai_pH 0 .139 18 .200(*) .929 18 .183
1 .176 18 .147 .883 18 .0302 .214 18 .028 .843 18 .0073 .162 18 .200(*) .878 18 .0244 .304 18 .000 .750 18 .000
* This is a lower bound of the true significance. a Lilliefors Significance Correction
Lampiran 5. Analisa Twoway ANOVA 5.1. Lightness Descriptive Statistics Dependent Variable: warna_L
Minggu Suhu Mean Std. Deviation N 0 30 43.2717 .65554 6
40 43.4767 .89167 650 43.5083 1.11845 6Total 43.4189 .86012 18
1 30 43.1883 1.44227 640 42.9700 .58248 650 42.7833 .81862 6Total 42.9806 .96835 18
2 30 42.6700 .53280 640 41.9633 1.29308 650 41.8983 .74834 6Total 42.1772 .93236 18
3 30 41.8267 .40048 640 41.1800 .75818 650 39.7983 1.47338 6Total 40.9350 1.26986 18
4 30 41.0450 .96359 640 39.8400 .55436 650 38.3833 1.08144 6Total 39.7561 1.40049 18
Total 30 42.4003 1.19087 3040 41.8860 1.54046 3050 41.2743 2.18355 30Total 41.8536 1.73296 90
warna_L Duncan
Suhu
N Subset
1 2 3 1 50 30 41.2743 40 30 41.8860 30 30 42.4003Sig. 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) = .893. a Uses Harmonic Mean Sample Size = 30.000. b Alpha = .05. warna_L
Duncan
Minggu
N Subset
1 2 3 4 1 4 18 39.7561 3 18 40.9350 2 18 42.1772 1 18 42.98060 18 43.4189Sig. 1.000 1.000 1.000 .168
Means for groups in homogeneous subsets are displayed. Based on Type III Sum of Squares The error term is Mean Square(Error) = .893. a Uses Harmonic Mean Sample Size = 18.000. b Alpha = .05. 5.2. Redness Descriptive Statistics Dependent Variable: warna_a
Minggu Suhu Mean Std. Deviation N 0 30 10.6050 1.19336 6
40 10.7167 1.14416 650 10.0350 2.00328 6Total 10.4522 1.44173 18
1 30 10.1900 .80317 640 9.4767 1.00729 650 9.0133 .55691 6Total 9.5600 .90960 18
2 30 9.5750 .86945 640 8.6583 .79798 650 6.9583 .97524 6Total 8.3972 1.39059 18
3 30 8.0783 .53484 640 6.9400 .68527 650 5.2417 1.15491 6Total 6.7533 1.43283 18
4 30 6.8250 .45399 640 5.5000 1.10222 650 4.4717 1.34877 6Total 5.5989 1.39122 18
Total 30 9.0547 1.61794 3040 8.2583 2.07970 3050 7.1440 2.47762 30Total 8.1523 2.20986 90
warna_a Duncan
Suhu
N Subset
1 2 3 1 50 30 7.1440 40 30 8.2583 30 30 9.0547Sig. 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) = 1.093. a Uses Harmonic Mean Sample Size = 30.000. b Alpha = .05. warna_a Duncan
Minggu
N Subset
1 2 3 4 5 1 4 18 5.5989 3 18 6.7533 2 18 8.3972 1 18 9.5600 0 18 10.4522 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) = 1.093. a Uses Harmonic Mean Sample Size = 18.000. b Alpha = .05. 5.3. Yellowness Descriptive Statistics Dependent Variable: warna_b
Minggu Suhu Mean Std. Deviation N 0 30 21.4000 2.55927 6
40 22.1717 4.84106 650 20.8567 2.99832 6Total 21.4761 3.43099 18
1 30 20.7383 4.80482 640 21.3417 1.69665 650 14.6200 3.83742 6Total 18.9000 4.66155 18
2 30 12.9000 3.57286 640 10.6967 2.67859 650 8.6317 1.16537 6Total 10.7428 3.07903 18
3 30 5.7100 1.06465 6
40 4.8667 1.68820 650 3.4417 1.24503 6Total 4.6728 1.59857 18
4 30 4.1000 1.30726 640 4.3900 1.35147 650 2.1917 .95334 6Total 3.5606 1.52119 18
Total 30 12.9697 7.88501 3040 12.6933 8.27076 3050 9.9483 7.44631 30Total 11.8704 7.90545 90
warna_b Duncan
Suhu
N Subset
1 2 1 50 30 9.9483 40 30 12.693330 30 12.9697Sig. 1.000 .695
Means for groups in homogeneous subsets are displayed. Based on Type III Sum of Squares The error term is Mean Square(Error) = 7.396. a Uses Harmonic Mean Sample Size = 30.000. b Alpha = .05. warna_b Duncan
Minggu
N Subset
1 2 3 4 1 4 18 3.5606 3 18 4.6728 2 18 10.7428 1 18 18.9000 0 18 21.4761Sig. .224 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) = 7.396. a Uses Harmonic Mean Sample Size = 18.000. b Alpha = .05.
5.4. Sineresis Descriptive Statistics Dependent Variable: sineresis
Minggu Suhu Mean Std. Deviation N 0 30 .00000 .000000 6
40 .00000 .000000 650 .00000 .000000 6Total .00000 .000000 18
1 30 .00000 .000000 640 .00000 .000000 650 1.30450 1.014412 6Total .43483 .838487 18
2 30 .00000 .000000 640 1.06617 1.858314 650 3.44483 3.023172 6Total 1.50367 2.428844 18
3 30 .89517 1.468243 640 1.37900 1.558149 650 5.16317 3.662795 6Total 2.47911 3.024778 18
4 30 3.46683 1.565611 640 4.26100 2.570735 650 7.76600 5.580153 6Total 5.16461 3.939145 18
Total 30 .87240 1.630776 3040 1.34123 2.162763 3050 3.53570 4.159760 30Total 1.91644 3.064592 90
sineresis Duncan
Suhu
N Subset
1 2 1 30 30 .87240 40 30 1.34123 50 30 3.53570Sig. .409 1.000
Means for groups in homogeneous subsets are displayed. Based on Type III Sum of Squares The error term is Mean Square(Error) = 4.788. a Uses Harmonic Mean Sample Size = 30.000. b Alpha = .05.
Duncan
Minggu
N Subset
1 2 3 1 0 18 .00000 1 18 .43483 2 18 1.50367 1.50367 3 18 2.47911 4 18 5.16461Sig. .054 .185 1.000
Means for groups in homogeneous subsets are displayed. Based on Type III Sum of Squares The error term is Mean Square(Error) = 4.788. a Uses Harmonic Mean Sample Size = 18.000. b Alpha = .05. 5.5. Aw Descriptive Statistics Dependent Variable: nilai_aw
Minggu Suhu Mean Std. Deviation N 0 30 .84150 .013323 6
40 .84500 .012133 650 .84533 .012832 6Total .84394 .012129 18
1 30 .84917 .015184 640 .85933 .020432 650 .87367 .012372 6Total .86072 .018509 18
2 30 .85133 .009223 640 .86917 .020837 650 .88950 .015070 6Total .87000 .021839 18
3 30 .85567 .011827 640 .90217 .033654 650 .95483 .027491 6Total .90422 .048313 18
4 30 .87167 .011742 640 .92233 .057961 650 .97600 .031566 6Total .92333 .056949 18
Total 30 .85387 .015384 3040 .87960 .042250 3050 .90787 .054164 30Total .88044 .045897 90
nilai_aw
Duncan
Suhu
N Subset
1 2 3 1 30 30 .85387 40 30 .87960 50 30 .90787Sig. 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) = .001. a Uses Harmonic Mean Sample Size = 30.000. b Alpha = .05. nilai_aw Duncan
Minggu
N Subset
1 2 3 4 1 0 18 .84394 1 18 .86072 2 18 .87000 3 18 .90422 4 18 .92333Sig. 1.000 .248 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) = .001. a Uses Harmonic Mean Sample Size = 18.000. b Alpha = .05 5.6. pH Descriptive Statistics Dependent Variable: nilai_pH
Minggu Suhu Mean Std. Deviation N 0 30 3.5283 .02787 6
40 3.5283 .02858 650 3.5267 .02582 6Total 3.5278 .02579 18
1 30 3.5083 .01722 640 3.4617 .02137 650 3.3450 .02074 6Total 3.4383 .07310 18
2 30 3.4450 .02258 640 3.3600 .02366 650 3.1400 .02098 6
Total 3.3150 .13391 183 30 3.3583 .02041 6
40 3.2450 .02588 650 3.0350 .03017 6Total 3.2128 .13995 18
4 30 3.3083 .00753 640 3.2150 .02074 650 2.8117 .02639 6Total 3.1117 .22256 18
Total 30 3.4297 .08830 3040 3.3620 .12486 3050 3.1717 .25242 30Total 3.3211 .20111 90
nilai_pH Duncan
Minggu
N Subset
1 2 3 4 5 1 4 18 3.1117 3 18 3.2128 2 18 3.3150 1 18 3.4383 0 18 3.5278 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) = .001. a Uses Harmonic Mean Sample Size = 18.000. b Alpha = .05. nilai_pH Duncan
Suhu
N Subset
1 2 3 1 50 30 3.1717 40 30 3.3620 30 30 3.4297Sig. 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) = .001. a Uses Harmonic Mean Sample Size = 30.000. b Alpha = .05.
