• Tidak ada hasil yang ditemukan

Intensitas Warna Merah (a)

N/A
N/A
Protected

Academic year: 2019

Membagikan "Intensitas Warna Merah (a)"

Copied!
28
0
0

Teks penuh

(1)

Lampiran 1. Normalitas

Kecerahan (L*)

Tests of Normality

.157 6 .200* .981 6 .957

.306 6 .082 .765 6 .028

.172 6 .200* .927 6 .555

.163 6 .200* .987 6 .981

.181 6 .200* .918 6 .493

.178 6 .200* .973 6 .912

.187 6 .200* .976 6 .927

.171 6 .200* .943 6 .682

.186 6 .200* .978 6 .940

.157 6 .200* .962 6 .832

.227 6 .200* .885 6 .295

.183 6 .200* .930 6 .578

.123 6 .200* .987 6 .980

.246 6 .200* .929 6 .572

.213 6 .200* .917 6 .487

.200 6 .200* .965 6 .854

.176 6 .200* .945 6 .696

.239 6 .200* .875 6 .247

.260 6 .200* .928 6 .568

.163 6 .200* .967 6 .872

.123 6 .200* .994 6 .996

.276 6 .170 .856 6 .174

.207 6 .200* .942 6 .676

.189 6 .200* .937 6 .636

.183 6 .200* .958 6 .804

.258 6 .200* .848 6 .152

.279 6 .157 .772 6 .033

.293 6 .116 .787 6 .045

.229 6 .200* .928 6 .564

.175 6 .200* .926 6 .549

.179 6 .200* .929 6 .573

.166 6 .200* .967 6 .870

plakuan kontrol refri cling wrap refri + cling kontrol refri cling wrap refri + cling kontrol refri cling wrap refri + cling kontrol refri cling wrap refri + cling kontrol refri cling wrap refri + cling kontrol refri cling wrap refri + cling kontrol refri cling wrap refri + cling kontrol refri cling wrap refri + cling hari_0

hari_1

hari_2

hari_3

hari_4

hari_5

hari_6

hari_7

Statistic df Sig. Statistic df Sig.

Kolmogorov-Smirnova Shapiro-Wilk

This is a lower bound of the true significance. *.

Lilliefors Significance Correction a.

(2)

Intensitas Warna Merah (a*)

Tests of Normality

.219 6 .200* .957 6 .799

.285 6 .138 .921 6 .512

.255 6 .200* .893 6 .335

.214 6 .200* .895 6 .344

.277 6 .166 .881 6 .273

.232 6 .200* .888 6 .306

.215 6 .200* .899 6 .368

.174 6 .200* .959 6 .815

.159 6 .200* .956 6 .788

.209 6 .200* .938 6 .646

.206 6 .200* .895 6 .343

.170 6 .200* .947 6 .714

.182 6 .200* .951 6 .747

.180 6 .200* .933 6 .607

.246 6 .200* .885 6 .291

.149 6 .200* .982 6 .962

.191 6 .200* .926 6 .553

.131 6 .200* .989 6 .988

.185 6 .200* .931 6 .588

.161 6 .200* .985 6 .972

.210 6 .200* .927 6 .555

.183 6 .200* .902 6 .388

.216 6 .200* .958 6 .803

.230 6 .200* .873 6 .239

.168 6 .200* .954 6 .775

.197 6 .200* .931 6 .591

.141 6 .200* .977 6 .934

.170 6 .200* .936 6 .624

.222 6 .200* .904 6 .401

.287 6 .133 .771 6 .031

.181 6 .200* .934 6 .610

.179 6 .200* .919 6 .495

plakuan kontrol refri cling wrap refri + cling kontrol refri cling wrap refri + cling kontrol refri cling wrap refri + cling kontrol refri cling wrap refri + cling kontrol refri cling wrap refri + cling kontrol refri cling wrap refri + cling kontrol refri cling wrap refri + cling kontrol refri cling wrap refri + cling hari_0

hari_1

hari_2

hari_3

hari_4

hari_5

hari_6

hari_7

Statistic df Sig. Statistic df Sig.

Kolmogorov-Smirnova Shapiro-Wilk

This is a lower bound of the true significance. *.

Lilliefors Significance Correction a.

(3)

Intensitas Warna Kuning (b*)

Tests of Normality

.213 6 .200* .879 6 .265

.174 6 .200* .940 6 .661

.284 6 .141 .819 6 .086

.281 6 .151 .831 6 .109

.198 6 .200* .931 6 .591

.237 6 .200* .862 6 .198

.209 6 .200* .924 6 .535

.223 6 .200* .908 6 .421

.219 6 .200* .883 6 .283

.211 6 .200* .878 6 .262

.211 6 .200* .892 6 .330

.216 6 .200* .869 6 .222

.268 6 .200* .840 6 .130

.126 6 .200* .996 6 .998

.204 6 .200* .941 6 .671

.224 6 .200* .870 6 .227

.202 6 .200* .967 6 .874

.170 6 .200* .923 6 .529

.269 6 .200* .918 6 .489

.233 6 .200* .846 6 .146

.246 6 .200* .882 6 .279

.228 6 .200* .925 6 .540

.293 6 .118 .829 6 .105

.268 6 .200* .879 6 .263

.236 6 .200* .872 6 .235

.254 6 .200* .874 6 .244

.272 6 .189 .844 6 .142

.269 6 .200 .876 6 .250

.211 6 .200* .941 6 .665

.277 6 .165 .862 6 .196

.244 6 .200* .854 6 .168

.247 6 .200* .890 6 .316

plakuan kontrol refri cling wrap refri + cling kontrol refri cling wrap refri + cling kontrol refri cling wrap refri + cling kontrol refri cling wrap refri + cling kontrol refri cling wrap refri + cling kontrol refri cling wrap refri + cling kontrol refri cling wrap refri + cling kontrol refri cling wrap refri + cling hari_0

hari_1

hari_2

hari_3

hari_4

hari_5

hari_6

hari_7

Statistic df Sig. Statistic df Sig.

Kolmogorov-Smirnova Shapiro-Wilk

This is a lower bound of the true significance. *.

Lilliefors Significance Correction a.

(4)

Normalitas Perubahan Warna Total (

Δ

E)

Tests of Normalityb,c,d,e

.247 6 .200* .841 6 .133

.175 6 .200* .963 6 .843

.174 6 .200* .951 6 .751

.260 6 .200* .831 6 .110

.201 6 .200* .890 6 .320

.227 6 .200* .888 6 .308

.200 6 .200* .958 6 .806

.233 6 .200* .868 6 .217

.272 6 .186 .908 6 .421

.266 6 .200* .849 6 .155

.242 6 .200* .868 6 .220

.197 6 .200* .938 6 .644

.179 6 .200* .969 6 .888

.213 6 .200* .961 6 .824

.134 6 .200* .977 6 .938

.198 6 .200* .925 6 .543

.182 6 .200* .977 6 .937

.281 6 .149 .837 6 .123

.265 6 .200* .918 6 .493

.281 6 .150 .823 6 .093

.179 6 .200* .972 6 .905

.209 6 .200* .920 6 .502

.188 6 .200* .924 6 .533

.203 6 .200* .974 6 .918

.192 6 .200* .917 6 .483

.201 6 .200* .890 6 .320

.225 6 .200* .865 6 .207

.242 6 .200* .962 6 .832

plakuan 1.00 2.00 3.00 4.00 1.00 2.00 3.00 4.00 1.00 2.00 3.00 4.00 1.00 2.00 3.00 4.00 1.00 2.00 3.00 4.00 1.00 2.00 3.00 4.00 1.00 2.00 3.00 4.00 hari_1

hari_2

hari_3

hari_4

hari_5

hari_6

hari_7

Statistic df Sig. Statistic df Sig. Kolmogorov-Smirnova Shapiro-Wilk

This is a lower bound of the true significance. *.

Lilliefors Significance Correction a.

hari_0 is constant when plakuan = 1.00. It has been omitted. b.

hari_0 is constant when plakuan = 2.00. It has been omitted. c.

hari_0 is constant when plakuan = 3.00. It has been omitted. d.

hari_0 is constant when plakuan = 4.00. It has been omitted. e.

(5)

Kadar Air

Tests of Normality

.249 6 .200* .884 6 .290

.175 6 .200* .948 6 .722

.226 6 .200* .951 6 .747

.282 6 .146 .774 6 .034

.196 6 .200* .901 6 .381

.192 6 .200* .974 6 .919

.196 6 .200* .901 6 .381

.269 6 .200* .836 6 .120

.193 6 .200* .939 6 .654

.171 6 .200* .976 6 .928

.193 6 .200* .939 6 .654

.186 6 .200* .896 6 .350

.180 6 .200* .979 6 .945

.193 6 .200* .931 6 .586

.180 6 .200* .979 6 .945

.244 6 .200* .924 6 .538

.238 6 .200* .883 6 .283

.164 6 .200* .970 6 .894

.238 6 .200* .883 6 .283

.156 6 .200* .979 6 .948

.267 6 .200* .885 6 .295

.155 6 .200* .965 6 .856

.267 6 .200* .885 6 .295

.235 6 .200* .899 6 .368

.198 6 .200* .929 6 .575

.255 6 .200* .905 6 .403

.198 6 .200* .929 6 .575

.270 6 .197 .829 6 .105

.195 6 .200* .926 6 .552

.198 6 .200* .962 6 .838

.227 6 .200* .910 6 .438

.203 6 .200* .922 6 .516

perlakuan 1.00 2.00 3.00 4.00 1.00 2.00 3.00 4.00 1.00 2.00 3.00 4.00 1.00 2.00 3.00 4.00 1.00 2.00 3.00 4.00 1.00 2.00 3.00 4.00 1.00 2.00 3.00 4.00 1.00 2.00 3.00 4.00 hari_0

hari_1

hari_2

hari_3

hari_4

hari_5

hari_6

hari_7

Statistic df Sig. Statistic df Sig. Kolmogorov-Smirnova Shapiro-Wilk

This is a lower bound of the true significance. *.

Lilliefors Significance Correction a.

(6)

pH

Tests of Normality

.249 6 .200* .884 6 .290

.175 6 .200* .948 6 .722

.226 6 .200* .951 6 .747

.282 6 .146 .774 6 .034

.196 6 .200* .901 6 .381

.192 6 .200* .974 6 .919

.196 6 .200* .901 6 .381

.269 6 .200* .836 6 .120

.193 6 .200* .939 6 .654

.171 6 .200* .976 6 .928

.193 6 .200* .939 6 .654

.186 6 .200* .896 6 .350

.180 6 .200* .979 6 .945

.193 6 .200* .931 6 .586

.180 6 .200* .979 6 .945

.244 6 .200* .924 6 .538

.238 6 .200* .883 6 .283

.164 6 .200* .970 6 .894

.238 6 .200* .883 6 .283

.156 6 .200* .979 6 .948

.267 6 .200* .885 6 .295

.155 6 .200* .965 6 .856

.267 6 .200* .885 6 .295

.235 6 .200* .899 6 .368

.198 6 .200* .929 6 .575

.255 6 .200* .905 6 .403

.198 6 .200* .929 6 .575

.270 6 .197 .829 6 .105

.195 6 .200* .926 6 .552

.198 6 .200* .962 6 .838

.227 6 .200* .910 6 .438

.203 6 .200* .922 6 .516

perlakuan 1.00 2.00 3.00 4.00 1.00 2.00 3.00 4.00 1.00 2.00 3.00 4.00 1.00 2.00 3.00 4.00 1.00 2.00 3.00 4.00 1.00 2.00 3.00 4.00 1.00 2.00 3.00 4.00 1.00 2.00 3.00 4.00 hari_0

hari_1

hari_2

hari_3

hari_4

hari_5

hari_6

hari_7

Statistic df Sig. Statistic df Sig. Kolmogorov-Smirnova Shapiro-Wilk

This is a lower bound of the true significance. *.

Lilliefors Significance Correction a.

(7)

Vitamin C

Tests of Normality

.184 6 .200* .937 6 .638

.254 6 .200* .866 6 .212

.209 6 .200* .907 6 .415

.205 6 .200* .862 6 .195

.245 6 .200* .920 6 .507

.189 6 .200* .960 6 .821

.289 6 .129 .839 6 .128

.281 6 .150 .830 6 .107

.292 6 .119 .846 6 .147

.301 6 .095 .841 6 .133

.188 6 .200* .920 6 .503

.265 6 .200* .843 6 .139

.270 6 .194 .812 6 .075

.223 6 .200* .864 6 .203

.191 6 .200* .924 6 .536

.215 6 .200* .871 6 .228

.249 6 .200* .903 6 .393

.287 6 .133 .895 6 .346

.204 6 .200* .914 6 .460

.259 6 .200* .861 6 .194

.283 6 .146 .871 6 .228

.199 6 .200* .886 6 .298

.186 6 .200* .921 6 .513

.251 6 .200* .899 6 .370

.217 6 .200* .903 6 .391

.210 6 .200* .921 6 .512

.207 6 .200* .903 6 .393

.281 6 .149 .917 6 .486

.301 6 .095 .865 6 .206

.264 6 .200* .855 6 .174

.221 6 .200* .936 6 .629

.291 6 .123 .803 6 .062

plakuan kontrol refri cling wrap refri + cling kontrol refri cling wrap refri + cling kontrol refri cling wrap refri + cling kontrol refri cling wrap refri + cling kontrol refri cling wrap refri + cling kontrol refri cling wrap refri + cling kontrol refri cling wrap refri + cling kontrol refri cling wrap refri + cling hari_0

hari_1

hari_2

hari_3

hari_4

hari_5

hari_6

hari_7

Statistic df Sig. Statistic df Sig.

Kolmogorov-Smirnova Shapiro-Wilk

This is a lower bound of the true significance. *.

Lilliefors Significance Correction a.

(8)

Total Gula

Tests of Normality

.160 6 .200* .980 6 .951

.171 6 .200* .948 6 .721

.259 6 .200* .872 6 .234

.260 6 .200* .922 6 .520

.157 6 .200* .974 6 .918

.247 6 .200* .911 6 .441

.167 6 .200* .987 6 .980

.222 6 .200* .926 6 .548

.195 6 .200* .922 6 .523

.294 6 .114 .833 6 .115

.212 6 .200* .857 6 .179

.239 6 .200* .933 6 .604

.276 6 .171 .863 6 .200

.208 6 .200* .971 6 .899

.169 6 .200* .921 6 .510

.165 6 .200* .953 6 .766

.232 6 .200* .934 6 .611

.215 6 .200* .858 6 .182

.290 6 .125 .865 6 .206

.167 6 .200* .980 6 .954

.163 6 .200* .964 6 .848

.139 6 .200* .968 6 .878

.309 6 .076 .814 6 .078

.184 6 .200* .943 6 .681

.121 6 .200* .983 6 .964

.278 6 .161 .920 6 .507

.197 6 .200* .931 6 .586

.248 6 .200* .828 6 .104

.189 6 .200* .927 6 .555

.218 6 .200* .941 6 .671

.229 6 .200* .888 6 .308

.189 6 .200* .943 6 .681

plakuan 1.00 2.00 3.00 4.00 1.00 2.00 3.00 4.00 1.00 2.00 3.00 4.00 1.00 2.00 3.00 4.00 1.00 2.00 3.00 4.00 1.00 2.00 3.00 4.00 1.00 2.00 3.00 4.00 1.00 2.00 3.00 4.00 hari_1

hari_2

hari_3

hari_4

hari_5

hari_6

hari_7

hari_0

Statistic df Sig. Statistic df Sig. Kolmogorov-Smirnova Shapiro-Wilk

This is a lower bound of the true significance. *.

Lilliefors Significance Correction a.

(9)

Firmness

Tests of Normality

.233 6 .200* .928 6 .568

.177 6 .200* .974 6 .916

.254 6 .200* .888 6 .310

.228 6 .200* .929 6 .576

.189 6 .200* .906 6 .411

.242 6 .200* .857 6 .180

.208 6 .200* .885 6 .294

.215 6 .200* .952 6 .753

.202 6 .200* .922 6 .522

.262 6 .200* .867 6 .214

.268 6 .200* .896 6 .349

.244 6 .200* .921 6 .516

.179 6 .200* .982 6 .962

.215 6 .200* .900 6 .377

.202 6 .200* .967 6 .871

.184 6 .200* .974 6 .917

.268 6 .200* .835 6 .118

.195 6 .200* .920 6 .503

.173 6 .200* .951 6 .749

.261 6 .200* .914 6 .466

.140 6 .200* .970 6 .895

.234 6 .200* .911 6 .445

.253 6 .200* .916 6 .476

.207 6 .200* .911 6 .445

.231 6 .200* .827 6 .102

.214 6 .200* .890 6 .316

.211 6 .200* .909 6 .431

.223 6 .200* .969 6 .882

.127 6 .200* .985 6 .973

.222 6 .200* .864 6 .205

.150 6 .200* .982 6 .960

.182 6 .200* .942 6 .673

plakuan kontrol refri cling wrap refri + cling kontrol refri cling wrap refri + cling kontrol refri cling wrap refri + cling kontrol refri cling wrap refri + cling kontrol refri cling wrap refri + cling kontrol refri cling wrap refri + cling kontrol refri cling wrap refri + cling kontrol refri cling wrap refri + cling hari_1

hari_2

hari_3

hari_4

hari_5

hari_6

hari_7

hari_0

Statistic df Sig. Statistic df Sig. Kolmogorov-Smirnova Shapiro-Wilk

This is a lower bound of the true significance. *.

Lilliefors Significance Correction a.

(10)

Weight Loss

Tests of Normalityb,c,d,e

.238 6 .200* .906 6 .412

.156 6 .200* .982 6 .962

.280 6 .155 .929 6 .572

.178 6 .200* .951 6 .749

.289 6 .127 .830 6 .108

.197 6 .200* .938 6 .640

.165 6 .200* .965 6 .854

.220 6 .200* .843 6 .139

.282 6 .148 .794 6 .051

.265 6 .200* .904 6 .399

.162 6 .200* .985 6 .975

.164 6 .200* .961 6 .828

.230 6 .200* .866 6 .211

.210 6 .200* .893 6 .336

plakuan kontrol refri cling wap refri + cling kontrol refri cling wap refri + cling kontrol refri cling wap refri + cling kontrol

.254 6 .200* .875 6 .247

.263 6 .200* .862 6 .196

.166 6 .200* .952 6 .757

.261 6 .200* .905 6 .401

.168 6 .200* .957 6 .800

.161 6 .200* .965 6 .855

.275 6 .176 .817 6 .083

.237 6 .200* .929 6 .570

.192 6 .200* .910 6 .438

.216 6 .200* .880 6 .270

.222 6 .200* .830 6 .107

.237 6 .200* .929 6 .570

.250 6 .200* .905 6 .405

.215 6 .200* .886 6 .296

refri cling wap refri + cling hari1

hari2

hari3

hari4

Statistic df Sig. Statistic df Sig.

Kolmogorov-Smirnova

kontrol refri cling wap refri + cling hari5

kontrol refri cling wap refri + cling hari6

kontrol refri cling wap hari7

refri + cling

Shapiro-Wilk

This is a lower bound of the true significance. *.

Lilliefors Significance Correction a.

hari0 is constant when plakuan = kontrol. It has been omitted. b.

hari0 is constant when plakuan = refri. It has been omitted. c.

hari0 is constant when plakuan = cling wap. It has been omitted. d.

hari0 is constant when plakuan = refri + cling. It has been omitted. e.

(11)

Lampiran 2. Kurva Standar Total Gula

Chart Title

y = 0.1308x - 0.0117 R2 = 0.9991

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7

1 2 3 4 5

absorbansi

Linear (absorbansi)

(12)

Lampiran 3. Minitab

Regression Analysis: L* versus tekstur, pH, ...

The regression equation is

L* = 28.7 - 0.0059 tekstur - 0.573 pH - 0.0307 kadar air + 0.129 weight loss

+ 0.539 vitamin C + 0.051 total gula

S = 0.844848 R-Sq = 88.5% R-Sq(adj) = 88.1%

Source DF Seq SS

tekstur 1 706.35

pH 1 75.75

kadar air 1 11.35

weight loss 1 54.23

vitamin C 1 165.56

total gula 1 0.03

Unusual Observations

Obs pH L Fit SE Fit Residual St Resid 28 5.64 65.0900 66.7973 0.1623 -1.7073 -2.22R 30 5.30 64.2600 66.3782 0.1297 -2.1182 -2.73R 61 5.79 67.9700 66.2651 0.1687 1.7049 2.22R 88 4.78 69.9800 68.3471 0.1173 1.6329 2.10R 109 4.90 71.3200 69.5599 0.1402 1.7601 2.27R 114 4.79 71.9500 70.1441 0.1643 1.8059 2.35R 120 5.15 66.0900 68.0977 0.1188 -2.0077 -2.58R 142 4.38 68.8100 68.4508 0.4214 0.3592 0.54 X 144 4.66 68.3300 69.0149 0.3148 -0.6849 -0.95 X 167 5.18 68.8400 68.5126 0.2658 0.3274 0.44 X

R denotes an observation with a large standardized residual. X denotes an observation whose X value gives it large influence.

(13)

Regression Analysis: a* versus tekstur, pH, ...

The regression equation is

a* = - 8.41 + 0.0019 tekstur - 0.543 pH - 0.0516 kadar air + 0.417 weight loss

+ 0.121 vitamin C + 0.311 total gula

S = 0.587002 R-Sq = 96.2% R-Sq(adj) = 96.1%

Analysis of Variance

Source DF Seq SS

tekstur 1 1346.02

pH 1 80.46

kadar air 1 30.64

weight loss 1 142.19

vitamin C 1 8.36

total gula 1 1.10

Unusual Observations

Obs pH a Fit SE Fit Residual St Resid 72 5.02 -3.9800 -2.8024 0.0656 -1.1776 -2.04R 75 5.50 -1.9700 -0.6430 0.1071 -1.3270 -2.32R 78 4.85 -1.8900 -0.6201 0.0701 -1.2699 -2.20R 93 5.39 -2.9500 -1.5925 0.0838 -1.3575 -2.36R 138 4.68 1.9800 0.7835 0.0790 1.1965 2.08R 142 4.38 0.9300 0.0962 0.3114 0.8338 1.70 X 144 4.66 0.0700 0.5705 0.2326 -0.5005 -0.94 X 167 5.18 1.0700 1.4734 0.1964 -0.4034 -0.74 X 170 4.25 3.0800 4.3165 0.1431 -1.2365 -2.20R 189 5.26 2.9700 1.8124 0.1033 1.1576 2.02R

R denotes an observation with a large standardized residual. X denotes an observation whose X value gives it large influence

(14)

Regression Analysis: b* versus tekstur, pH, ...

The regression equation is

b* = - 48.0 - 0.0286 tekstur - 1.15 pH + 0.653 kadar air + 0.529 weight loss +

0.338 vitamin C - 1.24 total gula

S = 1.19564 R-Sq = 86.0% R-Sq(adj) = 85.6%

Source DF Seq SS

tekstur 1 1060.21

pH 1 157.14

kadar air 1 70.24

weight loss 1 259.55

vitamin C 1 64.36

total gula 1 17.59

Unusual Observations

Obs pH b Fit SE Fit Residual St Resid 13 6.16 23.6200 21.0558 0.3218 2.5642 2.01R 21 5.68 24.4900 21.8458 0.2941 2.6442 2.06R 61 5.79 27.7800 24.5905 0.2820 3.1895 2.48R 85 5.59 29.7400 26.9051 0.2340 2.8349 2.19R 122 5.17 33.8700 30.2469 0.2832 3.6231 2.82R 126 4.16 33.9800 31.3139 0.2649 2.6661 2.07R 133 4.78 33.8600 28.6177 0.1500 5.2423 4.01R 134 4.28 33.9400 31.2533 0.2822 2.6867 2.09R 138 4.68 33.1900 29.8103 0.1788 3.3797 2.60R 142 4.38 27.1800 28.3103 0.7044 -1.1303 -1.02 X 144 4.66 27.4500 28.9108 0.5261 -1.4608 -1.21 X 157 4.25 31.9600 29.3464 0.3370 2.6136 2.06R 162 4.84 32.8300 29.7585 0.2396 3.0715 2.38R 167 5.18 28.1400 28.1940 0.4443 -0.0540 -0.04 X

R denotes an observation with a large standardized residual. X denotes an observation whose X value gives it large influence.

(15)

Regression Analysis: de versus tekstur, pH, ...

The regression equation is

de = 19.8 + 0.0603 tekstur - 2.25 pH - 0.548 kadar air + 0.103 weight loss

+ 0.458 vitamin C + 2.15 total gula

S = 3.13632 R-Sq = 58.2% R-Sq(adj) = 56.9%

Analysis of Variance

Source DF SS MS F P

Regression 6 2538.16 423.03 43.01 0.000

Residual Error 185 1819.75 9.84

Total 191 4357.91

Source DF Seq SS

tekstur 1 1979.47

pH 1 282.34

kadar air 1 59.56

weight loss 1 42.63

vitamin C 1 121.23

total gula 1 52.92 Unusual Observations

Obs pH de Fit SE Fit Residual St Resid 85 5,59 14,750 6,914 0,526 7,836 2,70R 87 4,69 14,840 8,390 0,426 6,450 2,21R 88 4,78 14,950 8,461 0,440 6,489 2,22R 101 4,06 6,280 13,438 0,801 -7,158 -2,52R 102 4,35 6,410 12,397 0,686 -5,987 -2,08R 133 4,78 16,980 11,110 0,337 5,870 2,00R 142 4,38 10,380 7,952 1,582 2,428 0,97 X 144 4,66 11,690 9,536 1,182 2,154 0,80 X 165 4,89 4,870 11,760 0,415 -6,890 -2,36R 166 5,09 3,770 10,402 0,616 -6,632 -2,30R 167 5,18 5,110 8,777 0,998 -3,667 -1,32 X 168 5,14 6,210 13,268 0,667 -7,058 -2,45R 179 4,99 15,700 9,476 0,603 6,224 2,15R

R denotes an observation with a large standardized residual. X denotes an observation whose X value gives it large influence.

(16)

Lampiran 4. Anova

Tekstur

tekstur

Duncan

Subset

perlakuan N 1 2

kontrol 48 31.2621

refri+cling 48 31.5785

refrigerator 48 32.7988

cling wrap 48 33.0208

Sig. .583 .700

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

The error term is Mean Square(Error) = 7.930. a Uses Harmonic Mean Sample Size = 48.000. b Alpha = .05.

tekstur

Duncan

Subset

hari N 1 2 3 4 5 6 7

7 24 21.5971

6 24 22.2445

5 24 25.3129

4 24 30.0792

3 24 32.5433

2 24 36.7121

1 24 41.6350

0 24 47.1963

Sig. .427 1.000 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) = 7.930. a Uses Harmonic Mean Sample Size = 24.000. b Alpha = .05.

(17)

pH

pH

Duncan

Subset

perlakuan N 1 2

cling wrap 48 4.7813

kontrol 48 4.9085

refrigerator 48 4.9754

refri+cling 48 4.9967

Sig. 1.000 .128

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

The error term is Mean Square(Error) = .071. a Uses Harmonic Mean Sample Size = 48.000. b Alpha = .05.

pH

Duncan

Subset

hari N 1 2 3 4 5 6

7 24 4.4413

6 24 4.4733

5 24 4.5379

4 24 4.7271

3 24 5.0150

2 24 5.2242

1 24 5.3763

0 24 5.5288

Sig. .240 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) = .071. a Uses Harmonic Mean Sample Size = 24.000. b Alpha = .05.

(18)

Kadar Air

KA

Duncana,b

48 81.4125

48 81.5065

48 82.6015

48 82.8917

1.000 1.000 1.000 1.000 perlakuan

refri+cling refrigerator cling wrap kontrol Sig.

N 1 2 3

Subset

4

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

The error term is Mean Square(Error) = .053. Uses Harmonic Mean Sample Size = 48.000. a.

Alpha = .05. b.

KA

Duncana,b

24 78.3675

24 80.2283

24 80.9779

24 82.0121

24 82.9296

24 83.1008

24 84.1175

24 85.0904

1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000

hari 7 6 5 4 2 3 1 0 Sig.

N 1 2 3 4 5 6 7

Subset

8

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

The error term is Mean Square(Error) = .053. Uses Harmonic Mean Sample Size = 24.000. a.

Alpha = .05. b.

(19)

Weight Loss

weightloss

Duncan

Subset

perlakuan N 1 2 3 4

refrigerator 48 7.8488

refri+cling 48 8.2544

cling wrap 48 9.1346

kontrol 48 9.9188

Sig. 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) = .196. a Uses Harmonic Mean Sample Size = 48.000. b Alpha = .05.

weightloss

Duncana,b

24 .0000

24 3.5388

24 5.4546

24 8.2817

24 9.5367

24 11.6138

24 14.6721

24 17.2154

1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000

hari 0 1 2 3 4 5 6 7 Sig.

N 1 2 3 4 5 6 7 8

Subset

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

The error term is Mean Square(Error) = .196. Uses Harmonic Mean Sample Size = 24.000. a.

Alpha = .05. b.

(20)

Vitamin C

vitC

Duncan

Subset

perlakuan N 1 2 3 4

refrigerator 48 78.9567

refri+cling 48 79.6698

cling wrap 48 80.3317

kontrol 48 81.3944

Sig. 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) = .924. a Uses Harmonic Mean Sample Size = 48.000. b Alpha = .05.

vitC

Duncana,b

24 76.1167

24 77.7367

24 79.1458

24 80.7583

24 80.9129 80.9129

24 81.4458

24 82.2413

24 82.3475

1.000 1.000 1.000 .578 .057 .702

hari 0 1 2 3 7 6 5 4 Sig.

N 1 2 3 4 5 6

Subset

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

The error term is Mean Square(Error) = .924. Uses Harmonic Mean Sample Size = 24.000. a.

Alpha = .05. b.

(21)

Kecerahan

(L*)

L

Duncana,b

48 66.8625

48 67.0625

48 68.1321

48 68.1740

1.000 1.000 .628 perlakuan

refri+cling refrigerator cling wrap kontrol Sig.

N 1 2

Subset

3

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

The error term is Mean Square(Error) = .179. Uses Harmonic Mean Sample Size = 48.000. a.

Alpha = .05. b.

L

Duncana,b

24 63.5496

24 64.9650

24 66.5742

24 67.8971

24 69.2458

24 69.3096

24 69.3108

24 69.6100

1.000 1.000 1.000 1.000 .620 1.000

hari 0 1 2 3 5 6 4 7 Sig.

N 1 2 3 4 5

Subset

6

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

The error term is Mean Square(Error) = .179. Uses Harmonic Mean Sample Size = 24.000. a.

Alpha = .05. b.

(22)

Intensitas warna Merah (a*)

a

Duncan

Subset

perlakuan N 1 2

refrigerator 48 -1.6615

refri+cling 48 -1.6502

kontrol 48 -.6263

cling wrap 48 -.6163

Sig. .871 .885

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

The error term is Mean Square(Error) = .115. a Uses Harmonic Mean Sample Size = 48.000. b Alpha = .05.

a

Duncan

Subset

hari N 1 2 3 4 5 6 7 8

0 24 -5.6525

1 24 -4.1150

2 24 -3.0079

3 24 -1.9917

4 24 -.4579

5 24 1.0013

6 24 2.0067

7 24 3.1088

Sig. 1.000 1.000 1.000 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) = .115. a Uses Harmonic Mean Sample Size = 24.000. b Alpha = .05.

(23)

Intensitas Warna Kuning (b*)

b

Duncana,b

48 26.1679 48 26.1783

48 28.9815

48 29.0802

.902 .246 perlakuan

refri+cling refrigerator cling wrap kontrol Sig.

N 1 2

Subset

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

The error term is Mean Square(Error) = .173. Uses Harmonic Mean Sample Size = 48.000. a.

Alpha = .05. b.

b

Duncana,b

24 23.8617 24 24.0158

24 25.7883

24 27.4313

24 28.7850

24 30.0029

24 30.3854

24 30.5454

.201 1.000 1.000 1.000 1.000 .184

hari 0 1 2 3 4 7 6 5 Sig.

N 1 2 3 4 5 6

Subset

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

The error term is Mean Square(Error) = .173. Uses Harmonic Mean Sample Size = 24.000. a.

Alpha = .05. b.

(24)

Perubahan Warna Total (

Δ

E)

de

Duncana,b

48 6.0404

48 7.9256

48 8.9371

48 11.8748

1.000 1.000 1.000 1.000 perlakuan

kontrol refri+cling refrigerator cling wrap Sig.

N 1 2 3 4

Subset

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

The error term is Mean Square(Error) = .895. Uses Harmonic Mean Sample Size = 48.000. a.

Alpha = .05. b.

de

Duncana,b

24 .0000

24 6.1458

24 7.6654

24 9.2963

24 10.3171

24 11.7771

24 11.8492

24 12.5050

1.000 1.000 1.000 1.000 1.000 .792 1.000

hari 0 1 2 3 4 6 5 7 Sig.

N 1 2 3 4 5 6 7

Subset

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

The error term is Mean Square(Error) = .895.

ed.

Uses Harmonic Mean Sample Size = 24.000. a.

Alpha = .05. b.

(25)

Total Gula

totalgula

Duncana,b

48 2.4157

48 2.4657

48 2.5785

48 2.7257

1.000 1.000 1.000 1.000 perlakuan

kontrol refrigerator cling wrap refri+cling Sig.

N 1 2 3 4

Subset

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

The error term is Mean Square(Error) = .001. Uses Harmonic Mean Sample Size = 48.000. a.

Alpha = .05. b.

totalgula

Duncana,b

24 1.9588

24 2.3296

24 2.3975

24 2.4699

24 2.5350

24 2.8192

24 2.8970

24 2.9645

1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000

hari 0 1 2 3 4 5 7 6 Sig.

N 1 2 3 4 5 6 7

Subset

8

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

The error term is Mean Square(Error) = .001. Uses Harmonic Mean Sample Size = 24.000. a.

Alpha = .05. b.

(26)

Lampiran 5. Korelasi Antar Variabel

Correlations

1 .000 .014 .016 .207** -.076 -.158* -.131 -.077 -.211** .202** .299**

1.000 .846 .823 .004 .297 .028 .070 .290 .003 .005 .000

192 192 192 192 192 192 192 192 192 192 192 192

.000 1 -.920** -.815** .339** .976** .640** .822** .975** .786** .740** .775**

1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000

192 192 192 192 192 192 192 192 192 192 192 192

.014 -.920** 1 .767** -.308** -.905** -.648** -.785** -.897** -.748** -.674** -.756**

.846 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000

192 192 192 192 192 192 192 192 192 192 192 192

.016 -.815** .767** 1 -.324** -.804** -.640** -.767** -.829** -.759** -.680** -.608**

.823 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000

192 192 192 192 192 192 192 192 192 192 192 192

.207** .339** -.308** -.324** 1 .302** .186** .302** .299** .305** .335** .332**

.004 .000 .000 .000 .000 .010 .000 .000 .000 .000 .000

192 192 192 192 192 192 192 192 192 192 192 192

-.076 .976** -.905** -.804** .302** 1 .642** .812** .974** .820** .709** .738**

.297 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000

192 192 192 192 192 192 192 192 192 192 192 192

-.158* .640** -.648** -.640** .186** .642** 1 .881** .695** .795** .587** .461**

.028 .000 .000 .000 .010 .000 .000 .000 .000 .000 .000

192 192 192 192 192 192 192 192 192 192 192 192

-.131 .822** -.785** -.767** .302** .812** .881** 1 .863** .868** .749** .601**

.070 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000

192 192 192 192 192 192 192 192 192 192 192 192

-.077 .975** -.897** -.829** .299** .974** .695** .863** 1 .861** .743** .741**

.290 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000

192 192 192 192 192 192 192 192 192 192 192 192

-.211** .786** -.748** -.759** .305** .820** .795** .868** .861** 1 .672** .499**

.003 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000

192 192 192 192 192 192 192 192 192 192 192 192

.202** .740** -.674** -.680** .335** .709** .587** .749** .743** .672** 1 .616**

.005 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000

192 192 192 192 192 192 192 192 192 192 192 192

.299** .775** -.756** -.608** .332** .738** .461** .601** .741** .499** .616** 1

.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000

192 192 192 192 192 192 192 192 192 192 192 192

Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N perlakuan hari tekstur pH KA weightloss vitC L a b de totalgula

perlakuan hari tekstur pH KA weightloss vitC L a b de totalgula

Correlation is significant at the 0.01 level (2-tailed). **.

Correlation is significant at the 0.05 level (2-tailed). *.

(27)

Lampiran 6. Berat Awal Buah Jambu Biji

Hari 1

Hari 2

Hari 3

Hari 4

Hari 5

Hari 6

Hari 7 Rata-rata

281.29 272.74 274.78

274.24

277.07

274.70 276.93 275.97

± ± ± ± ± ± ± ±

Perlakuan

1

5.84 3.67

3.06

2.43

1.47

1.39

4.90

3.25

280.28 275.86 277.94

277.15

283.91

280.35 279.97 279.35

± ± ± ± ± ± ± ±

Perlakuan

2

5.17 3.24

2.44

0.82

3.84

1.10

4.31

2.99

274.75 274.58 276.65

277.84

284.16

283.15 279.12 278.61

± ± ± ± ± ± ± ±

Perlakuan

3

7.48 3.44

4.79

3.95

6.02

1.22

5.90

4.68

273.28 278.10 276.98

274.65

278.45

278.96 277.69 276.87

± ± ± ± ± ± ± ±

Perlakuan

4

3.7 2.09

2.75

3.30

1.15

0.75

3.88

2.52

Rata-rata 277.40

275.32 276.59

275.97

280.90

279.29 278.43 277.70

±

±

±

±

±

±

±

±

5.55

3.11

3.26

2.63

3.12

1.12

5.75

3.51

(28)

Lampiran 7. Proses Seleksi Panelis

1.

Pencocokan Warna Jeruk

Dilakukan dengan jumlah panelis 15, panelis diminta untuk mencocokan warna

jeruk dengan kode

Colour

Card

.

Panelis yang pemilihan kode warnanya menyimpang dari kode pilihan mayoritas

tidak lolos seleksi.

Seleksi pertama panelis yang lolos sebanyak 10 panelis,

2.

Pencocokan Warna 4 Jenis Buah

mencocokan warna beberapa jenis buah yaitu jambu biji, alpukat, tomat dan

pisang dengan kode

Colour Card

.

Panelis yang mengikuti seleksi kedua adalah panelis yang lolos seleksi pertama.

Panelis yang tidak lolos adalah panelis yang paling berbeda pemilihan kode

Colour Card

nya.

Hasil dari seleksi panelis kedua yaitu didapatkan 8 panelis terlatih yang akan

menjadi panelis selama penelitian.

Referensi

Dokumen terkait

Tujuan dari tugas akhir ini adalah merancang dan merealisasikan pengembangan sistem navigasi otomatis pada UAV dengan GPS waypoint untuk pendaratan otomatis, dimana

Hal ini juga menunjukkan perlunya informasi biaya lingkungan yang memadai (Hansen dan Mowen: 2009) Pengungkapan biaya lingkungan pada sistem akuntansi disebut dengan

Secara khusus, tujuan studi ini adalah untuk mengetahui Indeks Pembangunan Manusia (IPM) sebagai cerminan tingkat kesejahteraan masyarakat Kabupaten Gayo Lues melalui analisis

“EFEKTIFITAS MODEL PEMBELAJARAN SAVI (SOMATIC, AUDITORI, VISUAL DAN INTELEKTUAL) BERBASIS MACROMEDIA FLASH TERHADAP MINAT DAN HASIL BELAJAR PESERTA DIDIK PADA

Selanjutnya Petugas Kepolisian membawa terdakwa serta menyita barang bukti berupa 1 (satu) buah kotak rokok Club Mild, 1 (satu) bungkusan kecil plastik transparan

POROS MALIGANO JLN.. POROS

Hasil dari penelitian diketahui bahwa faktor yang menyebabkan pemilik ternak melanggar qanun yaitu kurangnya kesadaran hukum dan juga kurangnya pengawasan dan lemahnya