• Tidak ada hasil yang ditemukan

PENGARUH KONSENTRASI WHEY PROTEIN ISOLATE TERHADAP TINGKAT KEPAHITAN DAN KARAKTERISTIK FISIKOKIMIA DARI TEMU HITAM (Curcuma aeruginosa Roxb) KERING YANG DIENKAPSULASI

N/A
N/A
Protected

Academic year: 2021

Membagikan "PENGARUH KONSENTRASI WHEY PROTEIN ISOLATE TERHADAP TINGKAT KEPAHITAN DAN KARAKTERISTIK FISIKOKIMIA DARI TEMU HITAM (Curcuma aeruginosa Roxb) KERING YANG DIENKAPSULASI"

Copied!
15
0
0

Teks penuh

(1)

LAMPIRAN

Lampiran 1.

Uji Normalitas , Variansi ANOVA dan uji lanjutan Duncan Intensitas Warna

Tests of Normality

kosentrasi WPI Kolmogorov-Smirnova Shapiro-Wilk Statistic df Sig. Statistic Df Sig.

nilai L 10% .262 3 . .956 3 .598 15% .253 3 . .964 3 .637 20% .178 3 . .999 3 .952 Nilai a 10% .204 3 . .993 3 .843 15% .243 3 . .972 3 .679 20% .175 3 . 1.000 3 1.000 nilai b on1 10% .331 3 . .865 3 .281 15% .201 3 . .994 3 .856 20% .369 3 . .788 3 .087

a. Lilliefors Significance Correction

ANOVA Sum of

Squares Df Mean Square F Sig.

nilai L Between Groups 38.861 2 19.431 20.457 .002

Within Groups 5.699 6 .950

Total 44.560 8

Nilai a Between Groups .019 2 .010 1.829 .240

Within Groups .032 6 .005

Total .051 8

nilai b Between Groups 4.032 2 2.016 7.771 .022

Within Groups 1.557 6 .259 Total 5.589 8 nilai L Duncana kosentrasi WPI N

Subset for alpha = 0.05

1 2

10% 3 64.85000

15% 3 68.52667

20% 3 69.73667

Sig. 1.000 .179

Means for groups in homogeneous subsets are displayed.

(2)

Nilai a

Duncan

a

kosentrasi

WPI

N

Subset for

alpha = 0.05

1

15%

3

4.43333

20%

3

4.48000

10%

3

4.54667

Sig.

.116

Means for groups in homogeneous

subsets are displayed.

a. Uses Harmonic Mean Sample Size =

3.000.

nilai b

Duncan

a

kosentrasi

WPI

N

Subset for alpha =

0.05

1

2

15%

3

12.26000

20%

3

12.33667

10%

3

13.71667

Sig.

.860

1.000

Means for groups in homogeneous subsets are

displayed.

a. Uses Harmonic Mean Sample Size = 3.000.

Lampiran 2.

Uji Normalitas, Analisa varians ANOVA dan ujia lanjutan Duncan Total Padatan

Tests of Normality

konsentrasi WPI Kolmogorov-Smirnova Shapiro-Wilk Statistic df Sig. Statistic Df Sig.

total padatan Kontrol .260 3 . .958 3 .605

WPI 10% .253 3 . .964 3 .637

WPPI 15% .232 3 . .980 3 .726

wpi 20% .175 3 . 1.000 3 1.000

a. Lilliefors Significance Correction

(3)

ANOVA

Total padatan

Sum of Squares

df

Mean Square

F

Sig.

Between Groups

2.874

3

.958

202.739

.000

Within Groups

.038

8

.005

Total

2.912

11

Total padatan Duncana kosentrasi wpi N

Subset for alpha = 0.05

1 2 3 kontrol 3 1.4867 wpi 10% 3 2.2567 wpi 20% 3 2.6467 wpi 15% 3 2.7200 Sig. 1.000 1.000 .228

Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 3.000.

Correlations

total padatan

konsentrasi WPI total padatan Pearson Correlation 1 .928**

Sig. (2-tailed) .000

N 12 12

konsentrasi WPI Pearson Correlation .928** 1

Sig. (2-tailed) .000

N 12 12

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

Lampiran 3.

Uji Normalitas, Analisa varians ANOVA dan korelasi Pearson Aktivitas Air (aw)

Tests of Normality

b

kosentrasi

wpi

Kolmogorov-Smirnov

a

Shapiro-Wilk

Statistic

Df

Sig.

Statistic

Df

Sig.

water

activity

wpi 10%

.253

3

.

.964

3

.637

wpi 15%

.292

3

.

.923

3

.463

wpi 20%

.253

3

.

.964

3

.637

a. Lilliefors Significance Correction

b. There are no valid cases for water aktivity when kosentrasi wpi = 4.000. Statistics cannot

be computed for this level.

(4)

ANOVA water activity

Sum of

Squares Df Mean Square F Sig.

Between Groups .000 2 .000 3.020 .124 Within Groups .000 6 .000 Total .000 8 Correlations kosentrasi wpi water aktivity kosentrasi wpi Pearson Correlation 1 -.702*

Sig. (2-tailed) .035

N 12 9

water activity Pearson Correlation -.702* 1

Sig. (2-tailed) .035

N 9 9

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

Lampiran 4

. Uji Normalitas, Analisa Varians ANOVA dan Korelasi Pearson Protein kasar

Tests of Normality

kosentrasi wpi Kolmogorov-Smirnova Shapiro-Wilk Statistic df Sig. Statistic Df Sig. crude protein dim ensi on1 wpi 10% .218 3 . .987 3 .785 wpi 15% .288 3 . .929 3 .485 wpi 20% .234 3 . .978 3 .719 kontrol .292 3 . .923 3 .463

a. Lilliefors Significance Correction

ANOVA crude protein

Sum of

Squares df Mean Square F Sig.

Between Groups 8083.418 3 2694.473 1926.722 .000

Within Groups 11.188 8 1.398

Total 8094.606 11

Correlations

kosentrasi wpi crude protein kosentrasi wpi Pearson Correlation 1 -.670*

Sig. (2-tailed) .017

N 12 12

crude protein Pearson Correlation -.670* 1

Sig. (2-tailed) .017

(5)

Correlations

kosentrasi wpi crude protein kosentrasi wpi Pearson Correlation 1 -.670*

Sig. (2-tailed) .017

N 12 12

crude protein Pearson Correlation -.670* 1

Sig. (2-tailed) .017

N 12 12

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

Lampiran

5

. Uji Normalitas, Analisa Variansi ANOVA dan Korelasi Pearson kelarutan

Tests of Normality

kosentrasi WPI Kolmogorov-Smirnova Shapiro-Wilk Statistic df Sig. Statistic Df Sig. nilai kelarutan dim

ensi on1

WPI 10% .314 3 . .893 3 .363

WPI 15% .253 3 . .964 3 .637

WPI 20% .222 3 . .985 3 .767

a. Lilliefors Significance Correction

ANOVA nilai kelarutan

Sum of

Squares df Mean Square F Sig.

Between Groups 1.211 2 .605 .648 .556

Within Groups 5.608 6 .935

Total 6.819 8

Correlations

kosentrasi

WPI nilai kelarutan

kosentrasi WPI Pearson Correlation 1 -.274

Sig. (2-tailed) .476

N 9 9

nilai kelarutan Pearson Correlation -.274 1

Sig. (2-tailed) .476

N 9 9

Lampiran 6.

Uji Normalitas, variansi ANOVA dan korelasi Pearson Kandungan Air

Tests of Normality

kosentrasi wpi Kolmogorov-Smirnova Shapiro-Wilk Statistic df Sig. Statistic Df Sig.

moisture bubuk wpi 10% .219 3 . .987 3 .780

wpi 15% .210 3 . .991 3 .819

wpi 20% .361 3 . .807 3 .132

(6)

ANOVA moisture bubuk

Sum of

Squares df Mean Square F Sig.

Between Groups 1.390 2 .695 4.574 .062 Within Groups .912 6 .152 Total 2.302 8 Correlations kosentrasi wpi moisture bubuk

kosentrasi wpi Pearson Correlation 1 -.234

Sig. (2-tailed) .544

N 9 9

moisture bubuk Pearson Correlation -.234 1

Sig. (2-tailed) .544

N 9 9

Lampiran 7.

Uji Normalitas, variansi ANOVA dan Korelasi Pearson Aktivitas antioksidan

Tests of Normality

kosentrasi wpi Kolmogorov-Smirnova Shapiro-Wilk Statistic df Sig. Statistic df Sig. antioksidan bubuk dim

ensi on1

wpi 10% .275 3 . .943 3 .541

wpi 15% .331 3 . .865 3 .281

wpi 20% .342 3 . .845 3 .227

a. Lilliefors Significance Correction

ANOVA antioksidan bubuk

Sum of

Squares df Mean Square F Sig.

Between Groups 204.542 2 102.271 55.276 .000 Within Groups 11.101 6 1.850 Total 215.643 8 Correlations kosentrasi wpi antioksidan bubuk

kosentrasi wpi Pearson Correlation 1 .973**

Sig. (2-tailed) .000

N 9 9

antioksidan bubuk Pearson Correlation .973** 1

Sig. (2-tailed) .000

N 9 9

(7)

Lampiran 8.

Uji variansi ANOVA dan Korelasi Konsentrasi WPI terhadap parameter uji serbuk

ANOVA

Sum of

Squares df Mean Square F Sig.

moisture bubuk Between Groups 1.390 2 .695 4.574 .062

Within Groups .912 6 .152

Total 2.302 8

water activity Between Groups .000 2 .000 3.020 .124

Within Groups .000 6 .000

Total .000 8

antioksidan bubuk Between Groups 204.542 2 102.271 55.276 .000

Within Groups 11.101 6 1.850

Total 215.643 8

kelarutan bubuk Between Groups 1.211 2 .605 .648 .556

Within Groups 5.608 6 .935

Total 6.819 8

Total padatan Between Groups .372 2 .186 89.080 .000

Within Groups .013 6 .002

Total .385 8

crude protein Between Groups 187.022 2 93.511 55.408 .000

Within Groups 10.126 6 1.688 Total 197.148 8 Correlations kosentrasi wpi moisture bubuk water activity antioksidan bubuk

kosentrasi wpi Pearson Correlation 1 -.234 -.702* .973**

Sig. (2-tailed) .544 .035 .000

N 9 9 9 9

water activity Pearson Correlation -.702* .012 1 -.619

Sig. (2-tailed) .035 .975 .075

N 9 9 9 9

antioksidan bubuk Pearson Correlation .973** -.270 -.619 1

Sig. (2-tailed) .000 .482 .075

N 9 9 9 9

Total padatan Pearson Correlation .770* -.580 -.440 .804**

Sig. (2-tailed) .015 .102 .236 .009

N 9 9 9 9

crude protein Pearson Correlation .962** -.049 -.761* .922**

Sig. (2-tailed) .000 .901 .017 .000

N 9 9 9 9

*. Correlation is significant at the 0.05 level (2-tailed). **. Correlation is significant at the 0.01 level (2-tailed).

(8)

Lampiran 9.

Kromatogram HPLC

kurkumin

Konsentrasi 10%

Konsentrasi 15%

(9)

Lampiran 10.

Analisa

Uji tahap pertama Friedman dan wilcoxon sensori Ranking

Friedman Test

Ranks Mean Rank 20% WPI 1.34 15% WPI 1.97 10% WPI 2.69 Test Statisticsa N 35 Chi-square 31.600 df 2 Asymp. Sig. .000 a. Friedman Test

(10)

Test Statisticsc

15% WPI - 20% WPI 10% WPI - 20% WPI 10% WPI - 15% WPI 15% WPI - 10% WPI

Z -2.809a -4.986a -3.104a -3.104b

Asymp. Sig. (2-tailed) .005 .000 .002 .002

a. Based on negative ranks. b. Based on positive ranks. c. Wilcoxon Signed Ranks Test

Test Statisticsc

20% WPI - 10% WPI 20% WPI - 15% WPI

Z -4.986b -2.809b

Asymp. Sig. (2-tailed) .000 .005

b. Based on positive ranks. c. Wilcoxon Signed Ranks Test

Lampiran 11.

Analisa uji tahap kedua Friedman dan Wilcoxon sensori Rating

Friedman Test Ranks Mean Rank Rating 10% 1.97 Rating kontrol 1.03 Test Statisticsa N 35 Chi-square 31.114 df 1 Asymp. Sig. .000 a. Friedman Test

(11)

Wilcoxon Signed Ranks Test

Ranks

N Mean Rank Sum of Ranks Rating 10% - Rating control Negative Ranks 1a 18.00 18.00 Positive Ranks 34b 18.00 612.00 Ties 0c Total 35

a. Rating 10% < Rating control b. Rating 10% > Rating control c. Rating 10% = Rating control

Test Statisticsb

Rating 10% - Rating kontrol

Z -5.578a

Asymp. Sig. (2-tailed) .000

a. Based on negative ranks. b. Wilcoxon Signed Ranks Test

Lampiran 12. Daftar Nama panelis

no Nama 1 catherine 2 Arya 3 Nia 4 Martinus 5 Nasbi 6 Bosco 7 Rehmel 8 Nonik 9 Wynda 10 Yoan 11 Anastasia 12 Claudia 13 Monica 14 Gloria 15 Deshinta 16 Maria 17 Jovan no Nama 18 edwin tanadi 19 Yosephine dIana 20 sarah puji Astuti 21 Nikko 22 Aurelia 23 mayer 24 Windu 25 dhanang 26 Junet 27 Christin 28 Tiwi 29 Jonathan 30 Eggy 31 Nella 32 Catarina 33 Mey 34 Heri 35 Arwen

(12)

Lampiran 13. Lembar Kerja dan Lembar Penilaian Uji Penerimaan Rasa

WORKSHEET UJI RATING HEDONIC

Tgl Uji : Jenis sample :

Identifikasi sample Kode

Sample dengan kosentrasi protein 10 % A Sample dengan kosentrasi protein 15 % B Sample dengan kosentrasi protein 20 % C Kode Kombinasi urutan penyajian

ABC = 1 ACB = 2 BCA = 3 BAC = 4 CAB = 5 CBA = 6 Penyajian

Panelis Kode Sampel Urutan

Saji # 1,3,5,7,9 1 # 11, 13, 15, 17, 19 2 # 21, 23, 25, 27, 29 3 # 2, 4, 6, 8, 10 4 # 12, 14, 16, 18, 20 5 # 22, 24, 26, 28, 30 6

Tabel Kode sampel

sample A B C 1 874 787 611 2 780 976 764 3 516 820 595 4 985 602 521 5 305 816 385 6 988 920 678 7 800 752 533 8 643 209 734 9 273 431 834 10 313 147 637 11 351 259 545 12 574 164 448 13 250 254 564 14 175 663 748 15 562 731 258 sample A B C 16 903 698 655 17 907 301 198 18 405 773 947 19 535 964 129 20 186 551 231 21 195 780 121 22 615 907 473 23 557 267 499 24 789 740 899 25 534 419 505 26 995 558 706 27 123 152 981 28 191 354 473 29 512 928 196 30 997 867 739

(13)

UJI HEDONIK RATING

Tanggal Uji : Jenis Sample : Identitas sample Sample control = A Sample terpilih = B

Kode Urutan penyajian

Untuk urutan penyajian karena hanya ada 2 sample maka tidak ada aturan khusus

Penyajian

Panelis Kode Sampel B Urutan

Saji

#1,2,3,4,5,6 . . .30 -

Tabel Kode sample sample Kontrol 1 606 2 831 3 654 4 565 5 732 6 790 7 722 8 380 9 740 10 989 11 395 12 641 13 378 14 908 15 655 sample Kontrol 16 140 17 481 18 340 19 637 20 931 21 387 22 398 23 335 24 741 25 403 26 358 27 942 28 254 29 311 30 353

(14)

Score sheet UJI 1 TRACEHOLD Kode Uji : Tanggal : Nama : Jenis Sample : Instruksi :

Dihadapan anda telah tersedia 3 sample, cicipi sample secara berurutan dari kiri ke kanan. Anda harus memberikan penilaian terhadap ketiga sample tersebut dengan mengurutkan berdasarkan tingkat kepahitanya. Lakukan kumur dengan air mineral yang tersedia setiap akan menguji sampel dan seterusnya sampai dengan sampel terakhir. Nyatakan penilaian anda pada kolom yang tersedia dengan menuliskan angka disamping no sample sesuai urutan penilain anda. Sample dengan urutan terbawah menurut penilaian anda, akan digunakan pada uji 2.

Atribut : Rasa pahit

No sample Urutan sample

……… ………

………….. . ………

(15)

Score sheet

UJI 2 HEDONIK RATING

Kode Uji : Tanggal :

Nama :

Jenis Sample :

Instruksi :

Dihadapan anda telah tersedia 2 sample, salah satunya adalah sample pilihan anda pada uji sebelumnya dan sample pembanding. Lakukan penilaian pada kedua sample tersebut dengan memberikan tanda (√) pada tingkat kesukaaan menurut penilaian anda untuk masing-masing sample secara terpisah, dan kemudian anda bandingkan diantara kedua sample tersebut, manakah sample yang paling anda sukai berdasarkan antribut rasa dengan memberikan tanda (√) pada sample yang paling anda suka.

Atribut : Rasa pahit

Uji lanjutan Kode Sample

Tingkat Kesukaan tiap sampel Tidak

suka

Kurang suka

Suka Suka sekali Sangat suka

Gambar

Tabel Kode sampel
Tabel Kode sample  sample   Kontrol  1  606  2  831  3  654  4  565  5  732  6  790  7  722  8  380  9  740  10  989  11  395  12  641  13  378  14  908  15  655  sample   Kontrol 16 140 17 481 18 340 19 637 20 931 21 387 22 398 23 335 24 741 25 403 26 358

Referensi

Dokumen terkait

Isolated of Endophytic bacteria from red betel root, produced a supernatant to test the inhibitory effect on 4 test bacteria that are pathogenic, Two (2)

Menyimak ekstensif merupakan kegiatan menyimak mengenai hal-hal yang umum. Guru tidak secara langsung memberi bimbingan kepada siswa, tetapi siswa diberi kebebasan

To improve the gap that identified, there are 11 technical response as priority that potentially bring up service quality satisfaction, such as: Conduct regular

Hasil yang diperoleh dari Tugas Akhir ini adalah alat yang dibuat dapat digunakan sebagai bahan pengembangan alat untuk memudahkan pihak PLN dalam memonitoring adannya masalah

Pcmilihan altcrnauf dcsa1n konsuul..si dengan sistem pracetak sangat tcpat dilakukan tcrhadap gcdung yang banyak memiliki elemen-elemen struktur yang scragam. Dcngan

Untuk data-data curah hujan, salju, debit sungai, dan suhu termasuk sebagai data spasial yang merupakan data multivariat karena diamati pada beberapa lokasi, oleh

Ketentuan tentang asas iktikad baik diatur dalam Pasal 1338 ayat (3) KUHPerdata yang menegaskan perjanjian harus dilaksanakan dengan itikad baik. Apapun yang

Kelebihan metode Dempster-Shafer dan Teorema Bayes yang digunakan dalam penelitian ini jika dibandingkan dengan metode lain dalam penentuan pengambilan keputusan untuk