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Lampiran 1. Hasil produk nata de pina Hasil Uji Pendahuluan (1) (2) (3) Nata de Pina dalam Plastik Box dengan Berbagai Konsentrasi Starter. (1) 10%, ketebalan 0,90 cm (2) 20%, ketebalan 1,12 cm (3) 30%, ketebalan 1,20 cm (a) (b) (c) a. Ketebalan Nata de Pina tampak dari samping b. Nata de Pina tampak dari atas c. Nata de Pina yang sudah dipotong bentuk dadu

Lampiran 1. Hasil produk Hasil Uji Pendahuluanrepository.unika.ac.id/8210/7/06.70.0161 Sheila Dyah Restu LAMPIRAN... · Lampiran 1. Hasil produk nata de pina Hasil Uji Pendahuluan

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Lampiran 1. Hasil produk nata de pina

Hasil Uji Pendahuluan

(1) (2) (3)

Nata de Pina dalam Plastik Box dengan Berbagai Konsentrasi Starter.

(1) 10%, ketebalan 0,90 cm

(2) 20%, ketebalan 1,12 cm

(3) 30%, ketebalan 1,20 cm

(a) (b)

(c)

a. Ketebalan Nata de Pina tampak dari sampingb. Nata de Pina tampak dari atasc. Nata de Pina yang sudah dipotong bentuk dadu

Lampiran 2. Perhitungan yeast

ZA : (NH4)2 SO4

: 2 x Ar N x 100%

Mr (NH4)2 SO4

: 2 x 14 x 100%

132

: 21,21% dalam 100 g ZA

N dalam 5 g ZA = 21,21% x 5 g = 1,06 = 35 g

100 33

Yeast = …. g

% N = 9,427%

% protein = 9,427% x 6,25 = 58,92%

Total N = % N x gram yeast yang dipakai

35 = 9,427 % x X

33

X = 100 x 35 = 11,25 g : 2 = 5,6 g

9,427 33

Lampiran 3. Worksheet Uji Rating Hedonik Nata de Pina

WORKSHEET UJI RATING HEDONIK

Tanggal : 31 januari 2011

Jenis sample : Nata de pina

Identifikasi Kode

Sari nanas + ZA A

Sari nanas + Yeast B

Sari ampas nanas + ZA C

Sari ampas nanas + Yeast D

Nata de coco E

Kode kombinasi urutan penyajian

ABCDE = 1 CADBE = 6

BCADE = 2 ACEBD = 7

DACBE = 3 DECAB = 8

ADECB = 4 ECABD = 9

ACBDE = 5 BECAD = 10

Rekap kode sampel

1 489 721 967 986 7282 538 824 532 859 4643 216 967 259 172 6124 135 681 845 254 1675 245 165 213 312 3656 823 138 415 317 8457 387 189 142 273 7568 143 372 391 723 3649 383 263 395 274 246

10 713 698 249 732 491

Lampiran 4. Scoresheet Uji Rating Hedonik Nata de Pina

UJI RATING HEDONIK

Nama : Tanggal:

Produk : Nata de pina

Kriteria : Warna

Instruksi :

Di hadapan Anda terdapat 5 sampel nata de pina.

Amatilah masing-masing sampel di depan Anda dan berilah skor (1) untuk sampel yang

paling tidak disukai hingga skor (7) untuk sampel yang paling disukai warnanya.

Pemberian skor untuk tiap-tiap sampel boleh mengalami pengulangan.

------------------- ------- ------------------- -------

------------------- ------- ------------------- -------

------------------- -------

UJI RATING HEDONIK

Nama : Tanggal:

Produk : Nata de Pina

Kriteria : Kekenyalan

Instruksi :

Di hadapan Anda terdapat 5 sampel Nata de Pina.

Amatilah masing-masing sampel, lalu gigit sampel dengan gigi Anda. Berilah skor (1)

untuk sampel yang paling tidak disukai hingga skor (7) untuk sampel yang paling

disukai tingkat kekenyalannya. Pemberian skor untuk tiap-tiap sampel boleh mengalami

pengulangan.

------------------- ------- ------------------- -------

------------------- ------- ------------------- -------

------------------- -------

UJI RATING HEDONIK

Nama : Tanggal:

Produk : Nata de Pina

Kriteria : Overall

Instruksi :

Di hadapan Anda terdapat 5 sampel Nata de Pina.

Amatilah masing-masing sampel, dan berilah skor (1) untuk sampel yang paling tidak

disukai hingga skor (7) untuk sampel yang paling disukai. Pemberian skor untuk tiap-

tiap sampel boleh mengalami pengulangan.

------------------- ------- ------------------- -------

------------------- ------- ------------------- -------

------------------- -------

Lampiran 5. Perhitungan Analisa Data dengan SPSS

Tests of Normality

perlakuan

Kolmogorov-Smirnov(a) Shapiro-WilkStatistic df Sig. Statistic df Sig.

tebal 1.00 .216 6 .200(*) .874 6 .2452.00 .137 6 .200(*) .993 6 .9963.00 .291 6 .124 .908 6 .4234.00 .239 6 .200(*) .955 6 .784

ph_sblm 1.00 .247 6 .200(*) .952 6 .7532.00 .226 6 .200(*) .959 6 .8153.00 .184 6 .200(*) .950 6 .7394.00 .231 6 .200(*) .915 6 .473

ph_ssdh 1.00 .203 6 .200(*) .972 6 .9072.00 .238 6 .200(*) .950 6 .7373.00 .251 6 .200(*) .917 6 .4854.00 .183 6 .200(*) .958 6 .802

gula_sblm

1.00 .218 6 .200(*) .959 6 .8142.00 .209 6 .200(*) .907 6 .4153.00 .254 6 .200(*) .866 6 .2124.00 .293 6 .117 .915 6 .473

gula_ssdh 1.00 .267 6 .200(*) .809 6 .0702.00 .319 6 .056 .683 6 .0043.00 .315 6 .064 .797 6 .0554.00 .302 6 .094 .775 6 .035

serat 1.00 .115 6 .200(*) .996 6 .9982.00 .199 6 .200(*) .971 6 .9003.00 .207 6 .200(*) .954 6 .7734.00 .202 6 .200(*) .906 6 .411

hardness 1.00 .173 6 .200(*) .973 6 .9142.00 .185 6 .200(*) .984 6 .9693.00 .242 6 .200(*) .807 6 .0674.00 .229 6 .200(*) .887 6 .300

chewiness 1.00 .237 6 .200(*) .912 6 .4512.00 .253 6 .200(*) .860 6 .1883.00 .205 6 .200(*) .918 6 .4924.00 .218 6 .200(*) .945 6 .696

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

ANOVA

Sum ofSquares df

MeanSquare F Sig.

tebal BetweenGroups .592 3 .197 87.974 .000

Within Groups .045 20 .002Total .637 23

ph_sebelum BetweenGroups .140 3 .047 22.907 .000

Within Groups .041 20 .002Total .181 23

ph_sesudah BetweenGroups .313 3 .104 98.137 .000

Within Groups .021 20 .001Total .334 23

gula_sebelum

BetweenGroups 92.322 3 30.774 71.706 .000

Within Groups 8.583 20 .429Total 100.905 23

gula_sesudah

BetweenGroups 43.115 3 14.372 33.325 .000

Within Groups 8.625 20 .431Total 51.740 23

Serat_kasar BetweenGroups .240 3 .080 8.797 .001

Within Groups .182 20 .009Total .421 23

ANOVA

Sum ofSquares df

MeanSquare F Sig.

murni_za BetweenGroups 39.603 1 39.603 50.025 .000

Within Groups 7.917 10 .792Total 47.520 11

murni_yeast BetweenGroups 38.521 1 38.521 174.434 .000

Within Groups 2.208 10 .221Total 40.729 11

ampas_za BetweenGroups 17.521 1 17.521 38.578 .000

Within Groups 4.542 10 .454Total 22.063 11

ampas_yeast

BetweenGroups 15.188 1 15.188 59.754 .000

Within Groups 2.542 10 .254Total 17.729 11

ANOVA

Sum ofSquares df

MeanSquare F Sig.

murni_za BetweenGroups .375 1 .375 150.617 .000

Within Groups .025 10 .002Total .399 11

murni_yeast BetweenGroups .028 1 .028 24.029 .001

Within Groups .012 10 .001Total .040 11

ampas_za BetweenGroups .173 1 .173 117.020 .000

Within Groups .015 10 .001Total .188 11

ampas_yeast

BetweenGroups .092 1 .092 84.938 .000

Within Groups .011 10 .001Total .103 11

ketebalan

Duncanperlakuan

N Subset for alpha = .051 2 3 4 1

1.00 6 .88002.00 6 .98673.00 6 1.15674.00 6 1.2900Sig. 1.000 1.000 1.000 1.000

Means for groups in homogeneous subsets are displayed.a Uses Harmonic Mean Sample Size = 6.000.

kekerasan

Duncanperlakuan

N Subset for alpha = .051 2 3 1

1.00 6 21.47783.00 6 25.5699 25.56992.00 6 31.7703 31.77034.00 6 36.8625Sig. .262 .096 .166

Means for groups in homogeneous subsets are displayed.a Uses Harmonic Mean Sample Size = 6.000.

kekenyalan

Duncan

perlakuan

NSubset for alpha =

.051 2 1

2.00 6 .05494.00 6 .1522 .15223.00 6 .23091.00 6 .2393Sig. .197 .272

Means for groups in homogeneous subsets are displayed.a Uses Harmonic Mean Sample Size = 6.000.

ph_sebelum

Duncanperlakuan

N Subset for alpha = .051 2 3 1

3.00 6 3.41174.00 6 3.54332.00 6 3.5733 3.57331.00 6 3.6167Sig. 1.000 .264 .113

Means for groups in homogeneous subsets are displayed.a Uses Harmonic Mean Sample Size = 6.000.

ph_sesudah

Duncanperlakuan

N Subset for alpha = .051 2 3 4 1

3.00 6 3.17171.00 6 3.26334.00 6 3.36832.00 6 3.4767Sig. 1.000 1.000 1.000 1.000

Means for groups in homogeneous subsets are displayed.a Uses Harmonic Mean Sample Size = 6.000.

gula_sebelum

Duncan

perlakuan

NSubset for alpha =

.051 2 1

3.00 6 14.08334.00 6 14.66671.00 6 18.21672.00 6 18.3333Sig. .139 .761

Means for groups in homogeneous subsets are displayed.a Uses Harmonic Mean Sample Size = 6.000

gula_sesudah

Duncan

perlakuan

NSubset for alpha =

.051 2 1

3.00 6 11.66674.00 6 12.41671.00 6 14.58332.00 6 14.7500Sig. .062 .665

Means for groups in homogeneous subsets are displayed.a Uses Harmonic Mean Sample Size = 6.000.

serat kasar

Duncan

perlakuan

NSubset for alpha =

.051 2 1

1.00 6 1.35002.00 6 1.40333.00 6 1.42674.00 6 1.6150Sig. .202 1.000

Means for groups in homogeneous subsets are displayed.a Uses Harmonic Mean Sample Size = 6.000.

Kruskal-Wallis Test

Test Statistics(a,b)

warnakekenyala

n overallChi-Square 5.246 3.701 .332

df 4 4 4Asymp.Sig. .263 .448 .988

a Kruskal Wallis Testb Grouping Variable: perlakuan