7. lampiran lampiran 1. gambar perbandingan warna ...repository.unika.ac.id/15705/8/13.70.0090 helen...

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44 7. LAMPIRAN Lampiran 1. Gambar Perbandingan Warna Mantou Ubi Ungu Keterangan: Dari kiri ke kanan secara urut: MUU 50, MUU 40, MUU 30 Lampiran 2. Perhitungan Total Kalori Mantou Ubi Ungu dan Kebutuhan Asupan Mantou untuk Sarapan Rumus: ( 100 )= (4 ) + (4 ) + (9 ) Keterengan: K = Karbohidrat (berat basah) P = Protein (berat basah) L = Lemak (berat basah) Mantou tanpa penambahan ubi jalar ungu (kontrol) Air = 33,39 g Abu = 0,39 g Karbohidrat = 50,82 g Protein = 8,78 g Lemak = 6,62 g ( 100 )= (4 50,82) + (4 8,78) + (9 6,62) ( 100 ) = (203,28 ) + (35,12 ) + (59,58 ) ( 100 ) = 297,96

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Page 1: 7. LAMPIRAN Lampiran 1. Gambar Perbandingan Warna ...repository.unika.ac.id/15705/8/13.70.0090 Helen Novita...Mantao dengan penambahan Ubi Ungu 50% C Kode kombinasi urutan penyajian:

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7. LAMPIRAN

Lampiran 1. Gambar Perbandingan Warna Mantou Ubi Ungu

Keterangan:

Dari kiri ke kanan secara urut: MUU 50, MUU 40, MUU 30

• Lampiran 2. Perhitungan Total Kalori Mantou Ubi Ungu dan Kebutuhan

Asupan Mantou untuk Sarapan

Rumus:

𝐸𝑛𝑒𝑟𝑔𝑖 (𝑘𝑘𝑎𝑙100 𝑔𝑟𝑎𝑚⁄ ) = (4 𝑘𝑘𝑎𝑙

𝑔 ⁄ 𝑥 𝐾) + (4 𝑘𝑘𝑎𝑙𝑔⁄ 𝑥 𝑃) + (9 𝑘𝑘𝑎𝑙

𝑔⁄ 𝑥 𝐿)

Keterengan:

K = Karbohidrat (berat basah)

P = Protein (berat basah)

L = Lemak (berat basah)

• Mantou tanpa penambahan ubi jalar ungu (kontrol)

Air = 33,39 g

Abu = 0,39 g

Karbohidrat = 50,82 g

Protein = 8,78 g

Lemak = 6,62 g

𝐸𝑛𝑒𝑟𝑔𝑖 (𝑘𝑘𝑎𝑙100 𝑔𝑟𝑎𝑚⁄ ) = (4 𝑘𝑘𝑎𝑙

𝑔 ⁄ 𝑥 50,82) + (4 𝑘𝑘𝑎𝑙𝑔⁄ 𝑥 8,78) + (9 𝑘𝑘𝑎𝑙

𝑔⁄ 𝑥 6,62)

𝐸𝑛𝑒𝑟𝑔𝑖 (𝑘𝑘𝑎𝑙100 𝑔𝑟𝑎𝑚⁄ ) = (203,28 𝑘𝑘𝑎𝑙

𝑔 ⁄ 𝑥 𝐾) + (35,12 𝑘𝑘𝑎𝑙𝑔⁄ 𝑥 𝑃) + (59,58 𝑘𝑘𝑎𝑙

𝑔⁄ 𝑥 𝐿)

𝐸𝑛𝑒𝑟𝑔𝑖 (𝑘𝑘𝑎𝑙100 𝑔𝑟𝑎𝑚⁄ ) = 297,96 𝑘𝑘𝑎𝑙

𝑔 ⁄

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• Mantou ubi ungu dengan penambahan ubi jalar ungu 50%

Air = 37,82 g

Abu = 0,39 g

Karbohidrat = 46,50 g

Protein = 9,83 g

Lemak = 5,45 g

𝐸𝑛𝑒𝑟𝑔𝑖 (𝑘𝑘𝑎𝑙100 𝑔𝑟𝑎𝑚⁄ ) = (4 𝑘𝑘𝑎𝑙

𝑔 ⁄ 𝑥 46,50) + (4 𝑘𝑘𝑎𝑙𝑔⁄ 𝑥 9,83) + (9 𝑘𝑘𝑎𝑙

𝑔⁄ 𝑥 5,45)

𝐸𝑛𝑒𝑟𝑔𝑖 (𝑘𝑘𝑎𝑙100 𝑔𝑟𝑎𝑚⁄ ) = (186 𝑘𝑘𝑎𝑙

𝑔 ⁄ 𝑥 𝐾) + (39,32 𝑘𝑘𝑎𝑙𝑔⁄ 𝑥 𝑃) + (49,05 𝑘𝑘𝑎𝑙

𝑔⁄ 𝑥 𝐿)

𝐸𝑛𝑒𝑟𝑔𝑖 (𝑘𝑘𝑎𝑙100 𝑔𝑟𝑎𝑚⁄ ) = 274,41 𝑘𝑘𝑎𝑙

𝑔 ⁄

• Kebutuhan Asupan Mantou untuk Sarapan

- Kalori mantou ubi ungu 50% 100 g = 274,41 kkal

- Rata-rata berat mantou ubi ungu 50% = 26,5 gram

- Jumlah mantou ubi ungu 50%

yang dikonsumsi dalam 100 gram = 100 𝑔𝑟𝑎𝑚

26,5 𝑔𝑟𝑎𝑚= 3,77 = 4 buah mantou

- Untuk memenuhi kebutuhan sarapan sebanyak 300 kkal =

𝑥

300 𝑘𝑘𝑎𝑙=

4

274,41 𝑘𝑘𝑎𝑙

274,41 kkal . x = 300 kkal . 4

274,41x = 1200

x = 4,37 = 4 buah mantou

- Kalori mantou kontrol 100 g = 297,96 kkal

- Rata-rata berat mantou kontrol = 25,7 gram

- Jumlah mantou kontrol yang

dikonsumsi dalam 100 gram = 100 𝑔𝑟𝑎𝑚

25,7 𝑔𝑟𝑎𝑚= 3,89 = 4 buah mantou

- Untuk memenuhi kebutuhan sarapan sebanyak 300 kkal =

𝑥

300 𝑘𝑘𝑎𝑙=

4

297,96 𝑘𝑘𝑎𝑙

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297,96 kkal . x = 300 kkal . 4

297,96x = 1200

x = 4,03 = 4 buah mantou

Lampiran 3. Worksheet dan Kuesioner Uji Sensori Ranking dan Rating

Worksheet Uji Ranking dan Rating Hedonik

Tanggal uji :

Jenis sampel : Mantou Ubi Ungu

Identifikasi sampel: Kode

Mantao dengan penambahan Ubi Ungu 30% A

Mantao dengan penambahan Ubi Ungu 40% B

Mantao dengan penambahan Ubi Ungu 50% C

Kode kombinasi urutan penyajian:

ABC = 1

BCA = 2

CBA = 3

ACB = 4

BAC = 5

Penyajian:

Booth Panelis Kode sampel urutan penyajian

I #1, 6, 11, 16, 21, 26, 31 971 585 2251

II #2, 7, 12, 17, 22, 27, 32 397 253 8182

III #3, 8, 13, 18, 23, 28, 33 112 535 777 3

IV #4, 9 , 14, 19, 24, 29, 34 318 711 7424

V #5, 10, 15, 20, 25, 30, 35 829 688 5775

Rekap kode sampel:

Sampel A 971 818 777 318 688

Sampel B 585 397 535 742 829

Sampel C 225 253 112 711 577

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UJI RANKING HEDONIK

Nama : Tanggal:

Produk : Mantou Ubi Ungu

Atribut : Warna

Instruksi :

Berkumur-kumurlah dulu sebelum menguji sampel.

Di hadapan Anda terdapat 3 sampel Mantou Ubi Ungu. Bandingkan dan amati warna

sampel secara berturutan dari kiri ke kanan, lihatlah masing–masing. Setelah melihat

semua sampel, Anda boleh mengulang mengamati sesering yang Anda perlukan. Urutkan

sampel dari warna yang paling Anda sukai (=3) hingga sampel yang paling kurang Anda

sukai (=1).

Kode Sampel Ranking (jangan ada yang dobel)

Terima Kasih

UJI RANKING HEDONIK

Nama : Tanggal:

Produk : Mantou Ubi Ungu

Atribut : Overall

Instruksi :

Berkumur-kumurlah dulu sebelum menguji sampel.

Di hadapan Anda terdapat 3 sampel Mantou Ubi Ungu. Cicipi sampel secara berturutan

dari kiri ke kanan, rasakan masing-masing. Atribut yang dinilai meliputi rasa, warna, dan

tekstur dari mantao. Setelah mencicipi semua sampel, Anda boleh mengulang sesering

yang Anda perlukan. Urutkan sampel dari rasa yang paling Anda sukai (=3) hingga

sampel yang paling kurang Anda sukai (=1).

Kode Sampel Ranking (jangan ada yang dobel)

Terima Kasih

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UJI RATING HEDONIK

Nama : Tanggal:

Produk : Mantou Ubi Ungu

Atribut : Warna

Instruksi :

Berkumur-kumurlah dulu sebelum menguji sampel.

Di hadapan Anda terdapat 3 sampel Mantou Ubi Ungu. Cicipilah sampel lalu berikan

nilai sesuai dengan tingkat kesukaan Anda pada warna mantao tersebut. Beri nilai dari

yang Anda sangat tidak suka (=1), tidak suka (=2), netral (=3), suka (=4), sangat suka

(=5). Setelah mencicipi semua sampel, Anda boleh mengulang mengamati sesering yang

Anda perlukan. Nilai boleh sama untuk sampel yang berbeda.

Kode Sampel Rating

Terima Kasih

UJI RATING HEDONIK

Nama : Tanggal:

Produk : Mantou Ubi Ungu

Atribut : Rasa

Instruksi :

Berkumur-kumurlah dulu sebelum menguji sampel.

Di hadapan Anda terdapat 3 sampel Mantou Ubi Ungu. Cicipilah sampel lalu berikan

nilai sesuai dengan tingkat kesukaan Anda pada rasa mantao tersebut. Beri nilai dari yang

Anda sangat tidak suka (=1), tidak suka (=2), netral (=3), suka (=4), sangat suka (=5).

Setelah mencicipi semua sampel, Anda boleh mengulang mengamati sesering yang Anda

perlukan. Nilai boleh sama untuk sampel yang berbeda.

Kode Sampel Rating

Terima Kasih

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UJI RATING HEDONIK

Nama : Tanggal:

Produk : Mantou Ubi Ungu

Atribut : Tekstur (keempukan)

Instruksi :

Berkumur-kumurlah dulu sebelum menguji sampel.

Di hadapan Anda terdapat 3 sampel Mantou Ubi Ungu. Cicipilah sampel lalu berikan

nilai sesuai dengan tingkat kesukaan anda pada tekstur (keempukan) mantao tersebut.

Beri nilai dari yang Anda sangat tidak suka (=1), tidak suka (=2), netral (=3), suka (=4),

sangat suka (=5). Setelah mencicipi semua sampel, Anda boleh mengulang mengamati

sesering yang Anda perlukan. Nilai boleh sama untuk sampel yang berbeda.

Kode Sampel Rating

Terima Kasih

UJI RATING HEDONIK

Nama : Tanggal:

Produk : Mantou Ubi Ungu

Atribut : Overall

Instruksi :

Berkumur-kumurlah dulu sebelum menguji sampel.

Di hadapan Anda terdapat 3 sampel Mantou Ubi Ungu. Cicipilah sampel lalu berikan

nilai sesuai dengan tingkat kesukaan anda pada warna, rasa, dan tekstur mantao tersebut.

Beri nilai dari yang Anda sangat tidak suka (=1), tidak suka (=2), netral (=3), suka (=4),

sangat suka (=5). Setelah mencicipi semua sampel, Anda boleh mengulang mengamati

sesering yang Anda perlukan. Nilai boleh sama untuk sampel yang berbeda.

Kode Sampel Rating

Terima Kasih

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Lampiran 4. Uji Kruskal Wallis Nilai Ranking pada Parameter Warna, Rasa,

Tekstur dan Overall Mantou

Test Statisticsb,c

Warna Rasa Tekstur Overall

Chi-Square 35.699 3.066 36.886 27.986

df 2 2 2 2

Asymp. Sig. .000 .216 .000 .000

Monte Carlo Sig. Sig. .000a .227a .000a .000a

95% Confidence Interval Lower

Bound .000 .219 .000 .000

Upper

Bound .000 .235 .000 .000

a. Based on 10000 sampled tables with starting seed 2000000.

b. Kruskal Wallis Test

c. Grouping Variable: Perlakuan

Lampiran 5. Uji Mann Whitney Nilai Ranking pada Parameter Warna Mantou

• Mantou Ubi Ungu 30% vs Mantou Ubi Ungu 40%

Test Statisticsb

Warna

Mann-Whitney U 241.000

Wilcoxon W 706.000

Z -3.374

Asymp. Sig. (2-tailed) .001

Monte Carlo Sig. (2-tailed) Sig. .001a

95% Confidence Interval Lower Bound .000

Upper Bound .001

Monte Carlo Sig. (1-tailed) 95% Confidence Interval Lower Bound .000

Upper Bound .000

Sig. .000a

a. Based on 10000 sampled tables with starting seed 624387341.

b. Grouping Variable: Perlakuan

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• Mantou Ubi Ungu 30% vs Mantou Ubi Ungu 50%

Test Statisticsb

Warna

Mann-Whitney U 89.000

Wilcoxon W 554.000

Z -5.681

Asymp. Sig. (2-tailed) .000

Monte Carlo Sig. (2-tailed) Sig. .000a

95% Confidence Interval Lower Bound .000

Upper Bound .000

Monte Carlo Sig. (1-tailed) 95% Confidence Interval Lower Bound .000

Upper Bound .000

Sig. .000a

a. Based on 10000 sampled tables with starting seed 334431365.

b. Grouping Variable: Perlakuan

• Mantou Ubi Ungu 40% vs Mantou Ubi Ungu 50%

Test Statisticsb

Warna

Mann-Whitney U 241.000

Wilcoxon W 706.000

Z -3.372

Asymp. Sig. (2-tailed) .001

Monte Carlo Sig. (2-tailed) Sig. .001a

95% Confidence Interval Lower Bound .000

Upper Bound .002

Monte Carlo Sig. (1-tailed) 95% Confidence Interval Lower Bound .000

Upper Bound .001

Sig. .001a

a. Based on 10000 sampled tables with starting seed 1502173562.

b. Grouping Variable: Perlakuan

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Lampiran 6. Uji Mann Whitney Nilai Ranking pada Parameter Tekstur Mantou

• Mantou Ubi Ungu 30% vs Mantou Ubi Ungu 40%

Test Statisticsb

Tekstur

Mann-Whitney U 192.500

Wilcoxon W 657.500

Z -4.135

Asymp. Sig. (2-tailed) .000

Monte Carlo Sig. (2-tailed) Sig. .000a

95% Confidence Interval Lower Bound .000

Upper Bound .000

Monte Carlo Sig. (1-tailed) 95% Confidence Interval Lower Bound .000

Upper Bound .000

Sig. .000a

a. Based on 10000 sampled tables with starting seed 957002199.

b. Grouping Variable: Perlakuan

• Mantou Ubi Ungu 30% vs Mantou Ubi Ungu 50%

Test Statisticsb

Tekstur

Mann-Whitney U 77.500

Wilcoxon W 542.500

Z -5.854

Asymp. Sig. (2-tailed) .000

Monte Carlo Sig. (2-tailed) Sig. .000a

95% Confidence Interval Lower Bound .000

Upper Bound .000

Monte Carlo Sig. (1-tailed) 95% Confidence Interval Lower Bound .000

Upper Bound .000

Sig. .000a

a. Based on 10000 sampled tables with starting seed 743671174.

b. Grouping Variable: Perlakuan

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• Mantou Ubi Ungu 40% vs Mantou Ubi Ungu 50%

Test Statisticsb

Tekstur

Mann-Whitney U 312.500

Wilcoxon W 777.500

Z -2.233

Asymp. Sig. (2-tailed) .026

Monte Carlo Sig. (2-tailed) Sig. .026a

95% Confidence Interval Lower Bound .023

Upper Bound .030

Monte Carlo Sig. (1-tailed) 95% Confidence Interval Lower Bound .010

Upper Bound .015

Sig. .013a

a. Based on 10000 sampled tables with starting seed 112562564.

b. Grouping Variable: Perlakuan

Lampiran 7. Uji Mann Whitney Nilai Ranking pada Parameter Overall Mantou

• Mantou Ubi Ungu 30% vs Mantou Ubi Ungu 40%

Test Statisticsb

Overall

Mann-Whitney U 201.500

Wilcoxon W 666.500

Z -3.951

Asymp. Sig. (2-tailed) .000

Monte Carlo Sig. (2-tailed) Sig. .000a

95% Confidence Interval Lower Bound .000

Upper Bound .000

Monte Carlo Sig. (1-tailed) 95% Confidence Interval Lower Bound .000

Upper Bound .000

Sig. .000a

a. Based on 10000 sampled tables with starting seed 221623949.

b. Grouping Variable: Perlakuan

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• Mantou Ubi Ungu 30% vs Mantou Ubi Ungu 50%

Test Statisticsb

Overall

Mann-Whitney U 128.500

Wilcoxon W 593.500

Z -5.055

Asymp. Sig. (2-tailed) .000

Monte Carlo Sig. (2-tailed) Sig. .000a

95% Confidence Interval Lower Bound .000

Upper Bound .000

Monte Carlo Sig. (1-tailed) 95% Confidence Interval Lower Bound .000

Upper Bound .000

Sig. .000a

a. Based on 10000 sampled tables with starting seed 303130861.

b. Grouping Variable: Perlakuan

• Mantou Ubi Ungu 40% vs Mantou Ubi Ungu 50%

Test Statisticsb

Overall

Mann-Whitney U 381.500

Wilcoxon W 846.500

Z -1.105

Asymp. Sig. (2-tailed) .269

Monte Carlo Sig. (2-tailed) Sig. .301a

95% Confidence Interval Lower Bound .292

Upper Bound .310

Monte Carlo Sig. (1-tailed) 95% Confidence Interval Lower Bound .146

Upper Bound .160

Sig. .153a

a. Based on 10000 sampled tables with starting seed 92208573.

b. Grouping Variable: Perlakuan

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Lampiran 8. Uji Kruskal Wallis Nilai Ranking pada Parameter Warna, Rasa,

Tekstur, dan Overall Mantou

Test Statisticsb,c

WARNA RASA TEKSTUR OVERALL

Chi-Square 26.546 13.586 35.144 26.634

df 2 2 2 2

Asymp. Sig. .000 .001 .000 .000

Monte Carlo Sig. Sig. .000a .000a .000a .000a

95% Confidence Interval Lower

Bound .000 .000 .000 .000

Upper

Bound .000 .001 .000 .000

a. Based on 10000 sampled tables with starting seed 2000000.

b. Kruskal Wallis Test

c. Grouping Variable: PERLAKUAN

Lampiran 9. Uji Mann Whitney Nilai Ranking pada Parameter Warna Mantou

• Mantou Ubi Ungu 30% vs Mantou Ubi Ungu 40%

Test Statisticsb

WARNA

Mann-Whitney U 160.500

Wilcoxon W 625.500

Z -4.422

Asymp. Sig. (2-tailed) .000

Monte Carlo Sig. (2-tailed) Sig. .000a

95% Confidence Interval Lower Bound .000

Upper Bound .000

Monte Carlo Sig. (1-tailed) 95% Confidence Interval Lower Bound .000

Upper Bound .000

Sig. .000a

a. Based on 10000 sampled tables with starting seed 624387341.

b. Grouping Variable: PERLAKUAN

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• Mantou Ubi Ungu 30% vs Mantou Ubi Ungu 50%

Test Statisticsb

WARNA

Mann-Whitney U 158.000

Wilcoxon W 623.000

Z -4.430

Asymp. Sig. (2-tailed) .000

Monte Carlo Sig. (2-tailed) Sig. .000a

95% Confidence Interval Lower Bound .000

Upper Bound .000

Monte Carlo Sig. (1-tailed) 95% Confidence Interval Lower Bound .000

Upper Bound .000

Sig. .000a

a. Based on 10000 sampled tables with starting seed 334431365.

b. Grouping Variable: PERLAKUAN

• Mantou Ubi Ungu 40% vs Mantou Ubi Ungu 50%

Test Statisticsb

WARNA

Mann-Whitney U 392.000

Wilcoxon W 857.000

Z -.900

Asymp. Sig. (2-tailed) .368

Monte Carlo Sig. (2-tailed) Sig. .373a

95% Confidence Interval Lower Bound .363

Upper Bound .382

Monte Carlo Sig. (1-tailed) 95% Confidence Interval Lower Bound .180

Upper Bound .195

Sig. .188a

a. Based on 10000 sampled tables with starting seed 1502173562.

b. Grouping Variable: PERLAKUAN

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Lampiran 10. Uji Mann Whitney Nilai Ranking pada Parameter Rasa Mantou

• Mantou Ubi Ungu 30% vs Mantou Ubi Ungu 40%

Test Statisticsb

RASA

Mann-Whitney U 261.000

Wilcoxon W 726.000

Z -2.936

Asymp. Sig. (2-tailed) .003

Monte Carlo Sig. (2-tailed) Sig. .003a

95% Confidence Interval Lower Bound .002

Upper Bound .004

Monte Carlo Sig. (1-tailed) 95% Confidence Interval Lower Bound .000

Upper Bound .002

Sig. .001a

a. Based on 10000 sampled tables with starting seed 743671174.

b. Grouping Variable: PERLAKUAN

• Mantou Ubi Ungu 30% vs Mantou Ubi Ungu 50%

Test Statisticsb

RASA

Mann-Whitney U 239.500

Wilcoxon W 704.500

Z -3.242

Asymp. Sig. (2-tailed) .001

Monte Carlo Sig. (2-tailed) Sig. .001a

95% Confidence Interval Lower Bound .000

Upper Bound .001

Monte Carlo Sig. (1-tailed) 95% Confidence Interval Lower Bound .000

Upper Bound .000

Sig. .000a

a. Based on 10000 sampled tables with starting seed 957002199.

b. Grouping Variable: PERLAKUAN

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• Mantou Ubi Ungu 40% vs Mantou Ubi Ungu 50%

Test Statisticsb

RASA

Mann-Whitney U 385.500

Wilcoxon W 850.500

Z -1.035

Asymp. Sig. (2-tailed) .301

Monte Carlo Sig. (2-tailed) Sig. .308a

95% Confidence Interval Lower Bound .298

Upper Bound .317

Monte Carlo Sig. (1-tailed) 95% Confidence Interval Lower Bound .151

Upper Bound .165

Sig. .158a

a. Based on 10000 sampled tables with starting seed 112562564.

b. Grouping Variable: PERLAKUAN

Lampiran 11. Uji Mann Whitney Nilai Ranking pada Parameter Tekstur Mantou

• Mantou Ubi Ungu 30% vs Mantou Ubi Ungu 40%

Test Statisticsb

TEKSTUR

Mann-Whitney U 157.000

Wilcoxon W 622.000

Z -4.490

Asymp. Sig. (2-tailed) .000

Monte Carlo Sig. (2-tailed) Sig. .000a

95% Confidence Interval Lower Bound .000

Upper Bound .000

Monte Carlo Sig. (1-tailed) 95% Confidence Interval Lower Bound .000

Upper Bound .000

Sig. .000a

a. Based on 10000 sampled tables with starting seed 221623949.

b. Grouping Variable: PERLAKUAN

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• Mantou Ubi Ungu 30% vs Mantou Ubi Ungu 50%

Test Statisticsb

TEKSTUR

Mann-Whitney U 91.000

Wilcoxon W 556.000

Z -5.432

Asymp. Sig. (2-tailed) .000

Monte Carlo Sig. (2-tailed) Sig. .000a

95% Confidence Interval Lower Bound .000

Upper Bound .000

Monte Carlo Sig. (1-tailed) 95% Confidence Interval Lower Bound .000

Upper Bound .000

Sig. .000a

a. Based on 10000 sampled tables with starting seed 303130861.

b. Grouping Variable: PERLAKUAN

• Mantou Ubi Ungu 40% vs Mantou Ubi Ungu 50%

Test Statisticsb

TEKSTUR

Mann-Whitney U 330.000

Wilcoxon W 795.000

Z -1.849

Asymp. Sig. (2-tailed) .064

Monte Carlo Sig. (2-tailed) Sig. .066a

95% Confidence Interval Lower Bound .061

Upper Bound .071

Monte Carlo Sig. (1-tailed) 95% Confidence Interval Lower Bound .030

Upper Bound .037

Sig. .033a

a. Based on 10000 sampled tables with starting seed 92208573.

b. Grouping Variable: PERLAKUAN

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Lampiran 12. Uji Mann Whitney Nilai Ranking pada Parameter Overall Mantou

• Mantou Ubi Ungu 30% vs Mantou Ubi Ungu 40%

Test Statisticsb

OVERALL

Mann-Whitney U 260.000

Wilcoxon W 725.000

Z -2.969

Asymp. Sig. (2-tailed) .003

Monte Carlo Sig. (2-tailed) Sig. .003a

95% Confidence Interval Lower Bound .002

Upper Bound .004

Monte Carlo Sig. (1-tailed) 95% Confidence Interval Lower Bound .001

Upper Bound .002

Sig. .001a

a. Based on 10000 sampled tables with starting seed 1335104164.

b. Grouping Variable: PERLAKUAN

• Mantou Ubi Ungu 30% vs Mantou Ubi Ungu 50%

Test Statisticsb

OVERALL

Mann-Whitney U 136.500

Wilcoxon W 601.500

Z -4.800

Asymp. Sig. (2-tailed) .000

Monte Carlo Sig. (2-tailed) Sig. .000a

95% Confidence Interval Lower Bound .000

Upper Bound .000

Monte Carlo Sig. (1-tailed) 95% Confidence Interval Lower Bound .000

Upper Bound .000

Sig. .000a

a. Based on 10000 sampled tables with starting seed 329836257.

b. Grouping Variable: PERLAKUAN

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• Mantou Ubi Ungu 40% vs Mantou Ubi Ungu 50%

Test Statisticsb

OVERALL

Mann-Whitney U 262.500

Wilcoxon W 727.500

Z -2.952

Asymp. Sig. (2-tailed) .003

Monte Carlo Sig. (2-tailed) Sig. .002a

95% Confidence Interval Lower Bound .001

Upper Bound .003

Monte Carlo Sig. (1-tailed) 95% Confidence Interval Lower Bound .001

Upper Bound .002

Sig. .001a

a. Based on 10000 sampled tables with starting seed 1535910591.

b. Grouping Variable: PERLAKUAN

Lampiran 13. Normalitas Uji proksimat dan Nilai Kalori Mantou

Tests of Normality

perlakuan

Kolmogorov-Smirnova Shapiro-Wilk

Statistic df Sig. Statistic df Sig.

kadar_air Mantou Kontrol .206 6 .200* .902 6 .384

Mantou Ubi Ungu 50% .183 6 .200* .910 6 .440

kadar_abu Mantou Kontrol .261 6 .200* .866 6 .211

Mantou Ubi Ungu 50% .237 6 .200* .917 6 .485

kadar_lemak Mantou Kontrol .246 6 .200* .926 6 .547

Mantou Ubi Ungu 50% .179 6 .200* .921 6 .513

kadar_protein Mantou Kontrol .246 6 .200* .916 6 .474

Mantou Ubi Ungu 50% .275 6 .174 .857 6 .181

karbohidrat Mantou Kontrol .209 6 .200* .965 6 .860

Mantou Ubi Ungu 50% .250 6 .200* .866 6 .211

kalori Mantou Kontrol .164 6 .200* .961 6 .826

Mantou Ubi Ungu 50% .292 6 .119 .859 6 .187

a. Lilliefors Significance Correction

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

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Lampiran 14. Independent Sample T-Test Uji Proksimat dan Nilai Kalori Mantou

Independent Samples Test

Levene's Test for

Equality of Variances t-test for Equality of Means

F Sig. t df Sig. (2-tailed)

Mean

Difference

Std. Error

Difference

95% Confidence Interval

of the Difference

Lower Upper

kadar_air Equal variances assumed .512 .491 -10.096 10 .000 -4.427682 .438542 -5.404815 -3.450549

Equal variances not assumed -10.096 9.335 .000 -4.427682 .438542 -5.414340 -3.441023

kadar_abu Equal variances assumed 7.842 .019 -.674 10 .516 -.002065 .003066 -.008898 .004767

Equal variances not assumed -.674 7.251 .521 -.002065 .003066 -.009266 .005135

kadar_lemak Equal variances assumed .673 .431 6.083 10 .000 1.166167 .191701 .739029 1.593304

Equal variances not assumed 6.083 9.253 .000 1.166167 .191701 .734308 1.598025

kadar_protein Equal variances assumed 9.572 .011 -3.009 10 .013 -1.049500 .348734 -1.826527 -.272473

Equal variances not assumed -3.009 5.480 .027 -1.049500 .348734 -1.922841 -.176159

karbohidrat Equal variances assumed 2.995 .114 6.404 10 .000 4.313167 .673531 2.812447 5.813886

Equal variances not assumed 6.404 7.926 .000 4.313167 .673531 2.757486 5.868847

kalori Equal variances assumed 2.808 .125 14.493 10 .000 23.551667 1.625009 19.930921 27.172412

Equal variances not assumed 14.493 8.004 .000 23.551667 1.625009 19.804732 27.298601

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Lampiran 15. Normalitas Aktivitas Antioksidan Mantou

Tests of Normality

Perlakuan

Kolmogorov-Smirnova Shapiro-Wilk

Statistic df Sig. Statistic df Sig.

Kadar_Antioksidan Kontrol .233 6 .200* .928 6 .566

Ubi Ungu 30% .174 6 .200* .956 6 .787

Ubi Ungu 40% .218 6 .200* .945 6 .702

Ubi Unggu 50% .245 6 .200* .844 6 .141

a. Lilliefors Significance Correction

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

Lampiran 16. Duncan Aktivitas Antioksidan Mantou

Kadar_Antioksidan

Duncan

Perlakuan N

Subset for alpha = 0.05

1 2 3 4

Kontrol 6 .292008

Ubi Ungu 30% 6

6.678972E

0

Ubi Ungu 40% 6

1.205241E

1

Ubi Unggu 50% 6

1.611756E

1

Sig.

1.000 1.000 1.000 1.000

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Lampiran 17. Normalitas Volume Pengembangan Mantou

Tests of Normality

Perlakuan

Kolmogorov-Smirnova Shapiro-Wilk

Statistic df Sig. Statistic df Sig.

Volume_Pengembangan Kontrol .157 6 .200* .978 6 .944

Ubi Ungu

30% .294 6 .113 .772 6 .033

Ubi Ungu

40% .162 6 .200* .973 6 .912

Ubi Ungu

50% .233 6 .200* .932 6 .595

a. Lilliefors Significance Correction

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

Lampiran 18. Duncan Volume Pengembangan Mantou

Volume_Pengembangan

Duncan

Perlakuan N

Subset for alpha = 0.05

1 2 3 4

Ubi Ungu 50% 6

2.133667E

1

Ubi Ungu 40% 6

2.652426E

1

Ubi Ungu 30% 6

3.467207E

1

Kontrol 6

5.086823E

1

Sig.

1.000 1.000 1.000 1.000

Means for groups in homogeneous subsets are displayed.

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Lampiran 19. Normalitas Hardness, Cohesiveness, Springiness, dan Adhesiveness

Mantou

Tests of Normality

Perlakuan

Kolmogorov-Smirnova Shapiro-Wilk

Statistic df Sig. Statistic df Sig.

Hardness Kontrol .286 6 .137 .755 6 .022

Ubi Ungu 30% .178 6 .200* .962 6 .839

Ubi Ungu 40% .258 6 .200* .878 6 .261

Ubi Ungu 50% .299 6 .101 .781 6 .039

Cohesiveness Kontrol .257 6 .200* .913 6 .457

Ubi Ungu 30% .173 6 .200* .955 6 .782

Ubi Ungu 40% .166 6 .200* .978 6 .944

Ubi Ungu 50% .198 6 .200* .966 6 .863

Springiness Kontrol .292 6 .121 .897 6 .354

Ubi Ungu 30% .197 6 .200* .932 6 .593

Ubi Ungu 40% .315 6 .063 .797 6 .056

Ubi Ungu 50% .243 6 .200* .938 6 .643

Adhesiveness Kontrol .302 6 .091 .879 6 .264

Ubi Ungu 30% .184 6 .200* .906 6 .408

Ubi Ungu 40% .306 6 .083 .776 6 .035

Ubi Ungu 50% .151 6 .200* .961 6 .830

a. Lilliefors Significance Correction

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

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Lampiran 20. Duncan Hardness, Cohesiveness, Springiness, dan Adhesiveness

Mantou

Hardness

Duncan

Perlakuan N

Subset for alpha = 0.05

1 2 3

Kontrol 6

4.679517E

2

Ubi Ungu 30% 6

5.481050E

2

Ubi Ungu 40% 6

5.576317E

2

5.576317E

2

Ubi Ungu 50% 6

5.979450E

2

Sig.

1.000 .660 .073

Means for groups in homogeneous subsets are displayed.

cohesiveness

Duncan

perlakuan N

Subset for alpha = 0.05

1 2

Mantou Kontrol 6 .40872

Mantou Ubi Ungu 30% 6 .42115

Mantou Ubi Ungu 40% 6 .44089

Mantou Ubi Ungu 50% 6 .44744

Sig. .165 .457

Means for groups in homogeneous subsets are displayed.

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Springiness

Duncan

Perlakuan N

Subset for alpha = 0.05

1

Ubi Ungu 50% 6 11.4433

Ubi Ungu 40% 6 11.7297

Ubi Ungu 30% 6 11.8032

Kontrol 6 12.0653

Sig. .076

Means for groups in homogeneous subsets are displayed

.

Lampiran 21. Normalitas Nilai Rata-rata Diameter Pori Mantou

Tests of Normality

Perlakuan

Kolmogorov-Smirnova Shapiro-Wilk

Statistic df Sig. Statistic df Sig.

Diameter_Pori Kontrol .216 5 .200* .927 5 .574

Ubi Ungu 30% .154 5 .200* .985 5 .961

Ubi Ungu 40% .237 5 .200* .947 5 .719

Ubi Ungu 50% .151 5 .200* .991 5 .982

a. Lilliefors Significance Correction

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

Lampiran 22. Duncan Nilai Rata-rata Diameter Pori Mantou

Diameter_Pori

Duncan

Perlakuan N

Subset for alpha = 0.05

1 2 3 4

Ubi Ungu 50% 5 .607929

Ubi Ungu 40% 5 .788914

Ubi Ungu 30% 5 .836367

Kontrol 5 .948461

Sig. 1.000 1.000 1.000 1.000

Means for groups in homogeneous subsets are displayed.

Adhesiveness

Duncan

Perlakuan N

Subset for alpha = 0.05

1 2

Ubi Ungu 50% 6 .018541

Ubi Ungu 40% 6 .020068

Ubi Ungu 30% 6 .020181

Kontrol 6 .034243

Sig. .242 1.000

Means for groups in homogeneous subsets are displayed.

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Filename: Novita_Sari_Helen_PENGARUH_PENAMBAHAN_UBI_JALAR_UNGU_TERHADAP_KARAKTERISTIK_SENSORI_DAN_FISIKOKIM

IA_SERTA_KA.doc Date: 2017-10-19 06:15 UTC

Results of plagiarism analysis from 2017-10-19 06:21 UTC 3128 matches from 117 sources, of which 2 are online sources. PlagLevel: 8.2%/87.8%

[0] (544 matches, 0.0%87.8%) from your PlagScan document "Novita_Sari...IMIA_SERTA_KA.doc" dated 2017-10-19

[1] (78 matches, 5.4%/8.5%) from your PlagScan document "Samantha_Da...N_YANG_DISUB.docx" dated 2017-10-19 [2] (68 matches, 5.0%/7.2%) from a PlagScan document of your organisation...pung_Pati_Ja.docx" dated 2017-10-19 [3] (57 matches, 3.6%/6.4%) from your PlagScan document "KIKI_CHRIST..._JALAR_PUTIH.docx" dated 2017-07-07 [4] (57 matches, 3.6%/6.2%) from your PlagScan document "KIKI_CHRIST..._JALAR_PUTIH.docx" dated 2017-07-19 [5] (60 matches, 2.4%/6.2%) from your PlagScan document "Theo_Rony_Y...rakteristik_F.doc" dated 2017-07-06 (+ 1 documents with identical matches) [7] (56 matches, 2.3%/5.8%) from a PlagScan document of your organisation...SELLA_SEBAGAI.doc" dated 2017-06-05 [8] (36 matches, 1.3%/3.2%) from a PlagScan document of your organisation...Juliana Finda.doc" dated 2016-07-15 [9] (33 matches, 1.3%/3.1%) from a PlagScan document of your organisation...DAN_STROBERI.docx" dated 2016-11-07 [10] (33 matches, 1.1%/2.9%) from a PlagScan document of your organisation...DAP_PERUBAHA.docx" dated 2017-02-09 [11] (33 matches, 1.2%/3.1%) from a PlagScan document of your organisation... Nining Ayu W.pdf" dated 2016-02-19 [12] (34 matches, 0.8%/3.5%) from your PlagScan document "Gabryella_S...N_JAMBU_BIJI.docx" dated 2017-07-24 [13] (35 matches, 0.5%/3.3%) from a PlagScan document of your organisation...0.0032 Kumala.doc" dated 2016-05-10 [14] (30 matches, 1.4%/3.3%) from your PlagScan document "Yohana_Mari...is_Tepung_Ga.docx" dated 2017-07-09 (+ 1 documents with identical matches) [16] (28 matches, 1.4%/2.7%) from a PlagScan document of your organisation...700093 cyntya.pdf" dated 2016-02-25 [17] (32 matches, 1.6%/2.9%) from a PlagScan document of your organisation...0113 STEFANUS.pdf" dated 2016-07-12 [18] (30 matches, 1.3%/2.7%) from a PlagScan document of your organisation... Julian Vinda.doc" dated 2016-07-19 (+ 1 documents with identical matches) [20] (35 matches, 0.8%/3.0%) from a PlagScan document of your organisation...033 Melina 1.docx" dated 2016-05-10 [21] (31 matches, 0.8%/3.2%) from your PlagScan document "Gabryella_S...N_JAMBU_BIJI.docx" dated 2017-07-28 [22] (30 matches, 0.9%/2.6%) from a PlagScan document of your organisation...penaeus_vann.docx" dated 2017-06-15 (+ 1 documents with identical matches) [24] (29 matches, 0.7%/2.8%) from your PlagScan document "Gabryella_S...N_JAMBU_BIJI.docx" dated 2017-07-25 [25] (31 matches, 1.3%/2.3%) from a PlagScan document of your organisation...ISOLAT_PROTE.docx" dated 2017-03-03 [26] (27 matches, 1.2%/2.4%) from a PlagScan document of your organisation...ana Vinda (3).doc" dated 2016-07-19 [27] (28 matches, 1.1%/2.4%) from a PlagScan document of your organisation...INGKAT_PENER.docx" dated 2016-11-07 [28] (24 matches, 1.2%/2.3%) from a PlagScan document of your organisation...PERKAYA_DENG.docx" dated 2016-11-30 [29] (28 matches, 1.0%/2.3%) from your PlagScan document "Dewi_Melian...thylcellulos.docx" dated 2017-10-18 [30] (24 matches, 1.0%/2.2%) from a PlagScan document of your organisation...ng_Gandum,_T.docx" dated 2017-03-04 [31] (25 matches, 1.0%/2.0%) from a PlagScan document of your organisation...ISOLAT_PROTE.docx" dated 2017-03-03 [32] (23 matches, 0.6%/2.0%) from a PlagScan document of your organisation...a_platensis_.docx" dated 2017-03-02 [33] (25 matches, 0.7%/2.2%) from a PlagScan document of your organisation....0142 Renega.docx" dated 2016-07-14 [34] (26 matches, 0.9%/2.4%) from your PlagScan document "Eunike_Lana...teristik_Fis.docx" dated 2017-10-18 [35] (27 matches, 0.6%/2.2%) from your PlagScan document "Sri_Wuning_..._Rumput_Laut.docx" dated 2017-10-18 [36] (26 matches, 0.9%/2.3%) from your PlagScan document "Eunike_Lana...okimia_Roti_.docx" dated 2017-10-19 (+ 1 documents with identical matches) [38] (25 matches, 1.4%/2.1%) from a PlagScan document of your organisation...an_Snack_Bar.docx" dated 2017-03-15 [39] (25 matches, 0.4%/2.0%) from your PlagScan document "Kriswanto_M...PADA_ES_KRIM.docx" dated 2017-07-19 [40] (24 matches, 1.1%/1.8%) from a PlagScan document of your organisation...illien Wibowo.pdf" dated 2016-02-01 [41] (22 matches, 0.7%/1.8%) from a PlagScan document of your organisation...lius)_dan_Spi.doc" dated 2017-03-06 [42] (26 matches, 1.1%/1.9%) from a PlagScan document of your organisation...TEIN_DAUN_YA.docx" dated 2017-03-06 (+ 1 documents with identical matches) [44] (23 matches, 0.7%/1.9%) from your PlagScan document "Maria_Winda...rasi_Bakteri.docx" dated 2017-07-28 (+ 1 documents with identical matches) [46] (19 matches, 0.4%/1.8%) from your PlagScan document "Arief_wiyar...ristik_fisik.docx" dated 2017-07-28 (+ 1 documents with identical matches)

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[48] (23 matches, 0.2%/1.5%) from your PlagScan document "Ananta_Levi...n_dan_Jenis_.docx" dated 2017-07-21 (+ 1 documents with identical matches) [50] (21 matches, 0.4%/1.7%) from a PlagScan document of your organisation...HU_PENGERING.docx" dated 2017-02-28 [51] (19 matches, 1.0%/1.5%) from a PlagScan document of your organisation...n_Yakon_(Sma.docx" dated 2017-03-06 [52] (19 matches, 0.4%/1.7%) from a PlagScan document of your organisation...eta Suprajogi.pdf" dated 2017-03-08 [53] (22 matches, 0.2%/1.8%) from a PlagScan document of your organisation...a_Saus_Cabai.docx" dated 2017-02-14 [54] (18 matches, 0.9%/1.6%) from a PlagScan document of your organisation...Benny Irawan.docx" dated 2016-07-14 [55] (19 matches, 0.7%/1.6%) from a PlagScan document of your organisation...0.0086 Greta.docx" dated 2016-05-24 [56] (21 matches, 0.2%/1.4%) from your PlagScan document "Ananta_Levi...n_dan_Jenis_.docx" dated 2017-07-24 [57] (18 matches, 0.5%/1.5%) from a PlagScan document of your organisation...chifolius)_T.docx" dated 2017-02-09 [58] (17 matches, 0.4%/1.7%) from your PlagScan document "Arief_wiyar...-Kimia_Serta.docx" dated 2017-07-19 [59] (16 matches, 0.3%/1.7%) from a PlagScan document of your organisation...na Chandra P.docx" dated 2016-06-30 (+ 1 documents with identical matches) [61] (20 matches, 0.3%/1.5%) from a PlagScan document of your organisation...Toni Hartanto.doc" dated 2016-07-19 [62] (16 matches, 0.0%1.7%) from a PlagScan document of your organisation...p_Kualitas_J.docx" dated 2017-02-09 [63] (17 matches, 0.2%/1.7%) from a PlagScan document of your organisation...uk_bit_merah.docx" dated 2016-02-09 [64] (19 matches, 0.3%/1.5%) from your PlagScan document "Regina_Tani..._FISIKOKIMIA.docx" dated 2017-10-18 [65] (17 matches, 0.7%/1.4%) from a PlagScan document of your organisation...onchifolius).docx" dated 2017-02-09 [66] (17 matches, 1.2%/1.5%) from a PlagScan document of your organisation...an_Snack_Bar.docx" dated 2017-03-15 [67] (16 matches, 0.1%/1.6%) from a PlagScan document of your organisation...elle Darmawan.doc" dated 2016-07-19

[68] (17 matches, 0.5%/1.6%) from a PlagScan document of your organisation...A_ABU_DAN_GL.docx" dated 2017-03-05 [69] (16 matches, 0.4%/1.4%) from a PlagScan document of your organisation..._adonan_tepu.docx" dated 2016-02-05 [70] (20 matches, 1.1%/1.4%) from a PlagScan document of your organisation...iawan Santoso.pdf" dated 2016-02-01 [71] (15 matches, 0.4%/1.4%) from a PlagScan document of your organisation...tepung_ketan.docx" dated 2016-02-05 [72] (15 matches, 0.0%1.6%) from a PlagScan document of your organisation...iliam Wibowo.docx" dated 2016-03-10 (+ 2 documents with identical matches) [75] (17 matches, 0.5%/1.4%) from a PlagScan document of your organisation...0162 Melinda.docx" dated 2016-09-15 [76] (17 matches, 0.1%/1.2%) from your PlagScan document "Raynaldi_Su...Ayam_Broiler.docx" dated 2017-07-22 [77] (13 matches, 0.2%/1.3%) from a PlagScan document of your organisation...tepung_ketan.docx" dated 2016-02-05 [78] (17 matches, 0.4%/1.3%) from a PlagScan document of your organisation...elia Claudia.docx" dated 2016-04-05 [79] (15 matches, 0.0%/1.5%) from your PlagScan document "Anita_Widia..._dengan_Sola.docx" dated 2017-10-19 [80] (11 matches, 0.0%1.3%) from a PlagScan document of your organisation...57 Francisca.docx" dated 2016-08-04 [81] (14 matches, 0.2%/1.3%) from a PlagScan document of your organisation...lia Eka Putri.pdf" dated 2017-03-08 [82] (16 matches, 0.1%/1.2%) from your PlagScan document "Raynaldi_Su...Ayam_Broiler.docx" dated 2017-07-24 [83] (15 matches, 0.4%/1.3%) from a PlagScan document of your organisation...0.0024 Sella.docx" dated 2016-05-25 [84] (14 matches, 0.4%/1.2%) from a PlagScan document of your organisation...tepung_ketan.docx" dated 2016-02-05 [85] (14 matches, 0.2%/1.1%) from https://nurulintenaulya2013.wordpress.com/tugas-kuliah/pemanfaatan-ekstrak-umbi-ungu/ [86] (12 matches, 0.5%/1.2%) from a PlagScan document of your organisation...a 12.70.0086.docx" dated 2016-03-10 [87] (14 matches, 0.3%/1.1%) from a PlagScan document of your organisation...lyzabeth D.A.docx" dated 2016-06-30 (+ 1 documents with identical matches) [89] (15 matches, 0.4%/1.1%) from a PlagScan document of your organisation...an_Non_Vakum.docx" dated 2016-02-09 [90] (12 matches, 0.2%/1.2%) from a PlagScan document of your organisation...ORBET_HERBAL.docx" dated 2016-02-05 [91] (10 matches, 0.2%/1.1%) from a PlagScan document of your organisation...ella REVISI.docx" dated 2016-02-09 [92] (19 matches, 0.0%0.9%) from your PlagScan document "Rosa_Xena_M...elas_1_dan_2.docx" dated 2017-10-17 [93] (12 matches, 0.0%1.1%) from a PlagScan document of your organisation...0163 Yeskiel.docx" dated 2016-06-20 (+ 2 documents with identical matches) [96] (14 matches, 0.3%/1.0%) from a PlagScan document of your organisation...ephanie Scan.docx" dated 2016-03-10 [97] (13 matches, 0.2%/0.9%) from repository.usu.ac.id/bitstream/handle/12.../Chapter II.pdf?sequence=4&isAllowed=y [98] (10 matches, 0.1%/1.1%) from a PlagScan document of your organisation....0049 RAISSA.docx" dated 2016-07-12 [99] (12 matches, 0.0%1.1%) from a PlagScan document of your organisation....70.0002 BUDI.pdf" dated 2016-06-13 [100] (12 matches, 0.0%1.1%) from a PlagScan document of your organisation...yo 12.70.0002.pdf" dated 2016-06-13 [101] (11 matches, 0.0%1.1%) from a PlagScan document of your organisation...3 yeski baru.docx" dated 2016-07-11 [102] (11 matches, 0.2%/0.9%) from a PlagScan document of your organisation...a Aulia Sani.docx" dated 2016-07-21 [103] (15 matches, 0.1%/1.1%) from a PlagScan document of your organisation...70.0053 Reza.docx" dated 2016-06-20 (+ 1 documents with identical matches) [105] (11 matches, 0.0%1.1%) from a PlagScan document of your organisation...NIKA KRIS. H.docx" dated 2016-08-04 [106] (12 matches, 0.2%/1.1%) from a PlagScan document of your organisation...ana Tara Dewi.pdf" dated 2017-03-08 [107] (13 matches, 0.1%/1.0%) from a PlagScan document of your organisation..._KETAN_CIASEM.doc" dated 2017-03-07 [108] (12 matches, 0.3%/1.1%) from a PlagScan document of your organisation...70.0025 lULU.docx" dated 2016-07-01 [109] (13 matches, 0.4%/1.0%) from a PlagScan document of your organisation...IKO HERMAWAN.docx" dated 2016-06-22 [110] (10 matches, 0.0%1.1%) from a PlagScan document of your organisation...litas_Kencur.docx" dated 2017-02-09 [111] (9 matches, 0.0%1.1%) from a PlagScan document of your organisation...ACIA ARSANTI.docx" dated 2016-08-04

Page 27: 7. LAMPIRAN Lampiran 1. Gambar Perbandingan Warna ...repository.unika.ac.id/15705/8/13.70.0090 Helen Novita...Mantao dengan penambahan Ubi Ungu 50% C Kode kombinasi urutan penyajian:

70

[112] (13 matches, 0.3%/1.0%) from a PlagScan document of your organisation...ira (revisi).docx" dated 2016-07-11 (+ 1 documents with identical matches) [114] (13 matches, 0.3%/0.9%) from a PlagScan document of your organisation...anti Fidelia.docx" dated 2016-07-21

[115] (9 matches, 0.0%1.1%) from a PlagScan document of your organisation...ACIA ARSANTI.docx" dated 2016-08-04 [116] (14 matches, 0.3%/1.0%) from a PlagScan document of your organisation... PERMATASARI.docx" dated 2016-07-01

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