7. lampiran lampiran 1. gambar perbandingan warna ...repository.unika.ac.id/15705/8/13.70.0090 helen...
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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 ⁄
45
• 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
46
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
48
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
49
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
50
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
53
• 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
54
• 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
55
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
56
• 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
58
• 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
59
• 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
60
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
61
• 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.
62
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
63
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
64
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.
65
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.
66
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.
67
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.
68
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)
69
[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
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
Settings
Sensitivity: Medium Bibliography: Bibliography excluded Citation detection: Reduce PlagLevel Whitelist: --
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