Perpustakaan Unika
7.
LAMPIRAN
7.1
Kurva Standar Amilosa kadar amilosa standar 1,4 y = 0,0158x + 0,069
1,2
2
absorbansi
R = 0,9638 1 0,8
absorbansi
0,6
Linear (absorbansi)
0,4 0,2 0 0
20
40
60
80
konsentrasi (ppm)
7.2
Seleksi produk
7.2.1 Alat Penentu Peringkat Gagasan Produk Mie Instant Talas Persyaratan Keberhasilan Produk Produk yang unik atau unggul Ketersediaan teknologi Shelf Life Kompetisi / persaingan Strategi pasar Total
(1) Bobot Relatif 0.2 0.3 0.3 0.1 0.1 1.0
Keterangan : (tingkat penerimaan minimum 0.61) • skala peringkat 0.00-0.30 buruk • skala peringkat 0.31-0.60 cukup • skala peringkat 0.61-0.80 baik
(2) Peringkat Produk 0.6 0.8 0.8 0.5 0.4
(3 = 1x2) Nilai Produk 0.12 0.24 0.24 0.05 0.04 0.69
Perpustakaan Unika
7.2.2 Alat Penentu Peringkat Gagasan Produk Getuk Talas Persyaratan Keberhasilan Produk
(1) Bobot Relatif
Produk yang unik atau unggul Ketersediaan teknologi Shelf life Kompetisi/persaingan Strategi pasar Total
0.3 0.2 0.1 0.2 0.2 1.0
(2) Peringkat Produk 0.5 0.2 0.1 0.4 0.3
(3 = 1x2) Nilai Produk 0.15 0.04 0.01 0.08 0.06 0.34
Keterangan : (tingkat penerimaan minimum 0.61) • skala peringkat 0.00-0.30 buruk • skala peringkat 0.31-0.60 cukup • skala peringkat 0.60-0.80 baik
7.2.3 Alat Penentu Peringkat Gagasan Produk Cookies Talas Persyaratan Keberhasilan Produk
(1) Bobot Relatif
Produk yang unik atau unggul Ketersediaan teknologi Shelf life Kompetisi/persaingan Strategi pasar Total
0.2 0.3 0.2 0.1 0.2 1.0
Keterangan : (tingkat penerimaan minimum 0.61) • skala peringkat 0.00-0.30 buruk • skala peringkat 0.31-0.60 cukup • skala peringkat 0.60-0.80 baik
(2) Peringkat Produk 0.6 0.5 0.8 0.3 0.4
(3 = 1x2) Nilai Produk 0.12 0.15 0.16 0.03 0.08 0.59
Perpustakaan Unika
7.2.4
Alat Penentu Peringkat Gagasan Produk Roti Talas
Persyaratan Keberhasilan Produk
(1) Bobot Relatif
Produk yang unik atau unggul Ketersediaan teknologi Shelf life Kompetisi/persaingan Strategi pasar Total
0.2 0.4 0.2 0.1 0.1 1.0
Keterangan : (tingkat penerimaan minimum 0.61) • skala peringkat 0.00-0.30 buruk • skala peringkat 0.31-0.60 cukup • skala peringkat 0.60-0.80 baik
(2) Peringkat Produk 0.6 0.7 0.3 0.2 0.4
(3 = 1x2) Nilai Produk 0.12 0.28 0.06 0.05 0.04 0.55
Perpustakaan Unika
7.3
Angka Kecukupan Gizi
7.3.1 Kadar Kalsium Mie Instant Talas Goreng Tingkat Subtitusi MIGT A (0%) MIGT B (25%) MIGT C (50%) MIGT D (75%)
Kadar Kalsium 25.0 mg 28.2 mg 31.7 mg 35.2 mg
AKG Kalsium untuk balita
= 500 mg / hari
AKG Kalsium untuk remaja
= 600 mg / hari
AKG Kalsium untuk dewasa
= 500 – 800 mg /hari
Presentase Kecukupan kalsium berdasarkan AKG Kalsium minimum untuk balita dan dewasa.
Pada MIGT A (0%)
Kadar Kalsium dalam 70 gram mie instant = (70/100) x 25 = 17.5 % Kecukupan kalsium = (17.5/500) x 100% = 3.5 %
Pada MIGT B (25%)
Kadar Kalsium dalam 70 gram mie instant = (70/100) x 28.2 = 19.7 % Kecukupan kalsium = (19.7/500) x 100% = 3.9 %
Pada MIGT C (50%)
Kadar Kalsium dalam 70 gram mie instant = (70/100) x 31.7 = 22.2 % Kecukupan kalsium = (22.2/500) x 100% = 4.4 %
Pada MIGT D (75%)
Kadar Kalsium dalam 70 gram mie instant = (70/100) x 35.2 = 24.6 % Kecukupan kalsium = (24.6/500) x 100% = 4.9 %
Perpustakaan Unika
Presentase Kecukupan kalsium berdasarkan AKG Kalsium minimum untuk remaja Pada MIGT A (0%) Kadar Kalsium dalam 70 gram mie instant = (70/100) x 25 = 17.5 % Kecukupan kalsium = (17.5/600) x 100% = 2.9 %
Pada MIGT B (25%)
Kadar Kalsium dalam 70 gram mie instant = (70/100) x 28.2 = 19.7 % Kecukupan kalsium = (19.7/600) x 100% = 3.3 %
Pada MIGT C (50%)
Kadar Kalsium dalam 70 gram mie instant = (70/100) x 31.7 = 22.2 % Kecukupan kalsium = (22.2/600) x 100% = 3.7 %
Pada MIGT D (75%)
Kadar Kalsium dalam 70 gram mie instant = (70/100) x 35.2 = 24.6 % Kecukupan kalsium = (24.6/600) x 100% = 4.1 % 7.3.2 Kadar Kalsium Mie Instant Talas Kering Tingkat Subtitusi MIKT A (0%) MIKT B (25%) MIKT C (50%) MIKT D (75%)
Kadar Kalsium 25.7 mg 29.4 mg 34.9 mg 38.8 mg
AKG Kalsium untuk balita
= 500 mg / hari
AKG Kalsium untuk remaja
= 600 mg / hari
AKG Kalsium untuk dewasa
= 500 – 800 mg /hari
Perpustakaan Unika
Presentase Kecukupan kalsium berdasarkan AKG Kalsium minimum untuk balita dan dewasa.
Pada MIKT A (0%)
Kadar Kalsium dalam 70 gram mie instant = (70/100) x 25.7 = 18.0 % Kecukupan kalsium = (18.0/500) x 100% = 3.6 %
Pada MIKT B (25%)
Kadar Kalsium dalam 70 gram mie instant = (70/100) x 29.4 = 20.6 % Kecukupan kalsium = (20.6/500) x 100% = 4.1 %
Pada MIKT C (50%)
Kadar Kalsium dalam 70 gram mie instant = (70/100) x 34.9 = 24.4 % Kecukupan kalsium = (24.4/500) x 100% = 4.9 %
Pada MIKT D (75%)
Kadar Kalsium dalam 70 gram mie instant = (70/100) x 38.8 = 27.2 % Kecukupan kalsium = (27.2/500) x 100% = 5.4 % Presentase Kecukupan kalsium berdasarkan AKG Kalsium minimum untuk remaja Pada MIKT A (0%) Kadar Kalsium dalam 70 gram mie instant = (70/100) x 25.7 = 18.0 % Kecukupan kalsium = (18.0/600) x 100% = 3.0 %
Pada MIKT B (25%)
Kadar Kalsium dalam 70 gram mie instant = (70/100) x 29.4 = 20.6 % Kecukupan kalsium = (20.6/600) x 100% = 3.4 %
Pada MIKT C (50%)
Kadar Kalsium dalam 70 gram mie instant = (70/100) x 34.9 = 24.4 % Kecukupan kalsium = (24.4/600) x 100% = 4.1 %
Pada MIKT D (75%)
Kadar Kalsium dalam 70 gram mie instant = (70/100) x 38.8 = 27.2 % Kecukupan kalsium = (27.2/600) x 100% = 4.5 %
Perpustakaan Unika
7.4
Protein Akhir
Hasil Pengujian Protein Akhir Mie Instant Goreng Talas Perlakuan Pengujian MIGT A MIGT B MIGT C d c Protein Awal 10.25 ± 0.45 8.95 ± 0.47 7.87 ± 0.62 b Protein Akhir 9.82 ± 0.69 d 8.71 ± 0.51 c 7.45 ± 0.65 b
MIGT D 6.32 ± 0.57 a 6.04 ± 0.66 a
Keterangan : MIGT A: mie instant dengan komposisi 100 % tepung terigu (kontrol) MIGT B : mie instant dengan komposisi tepung tepung terigu 75 % ; tepung talas 25 % MIGT C : mie instant dengan komposisi tepung tepung terigu 50 % ; tepung talas 50 % MIGT D : mie instant dengan komposisi tepung tepung terigu 25 % ; tepung talas 75 % • Semua nilai merupakan Mean ± Standard Deviation • Tanda superscript yang berbeda menunjukan adanya perbedaan nyata (≤0.05) pada tingkat kepercayaan 95% dengan menggunakan uji Duncan.
Kadar Protein 12 10 8 6 4 2 0 MIGT A
MIGT B
Protein awal
MIGT C
MIGT D
Protein akhir
Grafik Perbandingan Antara Kadar Protein Awal Dengan Kadar Protein Akhir Mie Instant Goreng Talas
Perpustakaan Unika
Hasil Pengujian Protein Akhir Mie Instant Kering Talas Perlakuan Pengujian MIKT A MIKT B MIKT C Protein Awal 10.65 ± 0.47 d 9.06 ± 0.45 c 7.93 ± 0.47 b Protein Akhir 10.39 ± 0.66 d 8.71 ± 0.77 c 7.54 ± 0.79 b
MIKT D 6.72 ± 0.49 a 6.22 ± 0.53 a
Keterangan : MIKT A: mie instant dengan komposisi 100 % tepung terigu (kontrol) MIKT B : mie instant dengan komposisi tepung tepung terigu 75 % ; tepung talas 25 % MIKT C : mie instant dengan komposisi tepung tepung terigu 50 % ; tepung talas 50 % MIKT D : mie instant dengan komposisi tepung tepung terigu 25 % ; tepung talas 75 % • Semua nilai merupakan Mean ± Standard Deviation • Tanda superscript yang berbeda menunjukan adanya perbedaan nyata (≤0.05) pada tingkat kepercayaan 95% dengan menggunakan uji Duncan.
Kadar Protein 12 10 8 6 4 2 0 MIKT A
MIKT B
Protein awal
MIKT C
MIKT D
Protein akhir
Grafik Perbandingan Antara Kadar Protein Awal Dengan Kadar Protein Akhir Mie Instant Kering Talas
Perpustakaan Unika
7.5
SNI 01-3551-1994
No
1
Uraian
Satuan
Persyaratan
Keadaan 1.1. Bau
Normal
1.2. Rasa
Normal
1.3. Warna
Normal
2
Benda-benda asing
Tidak boleh ada
3
Keutuhan
4
Uji kematangan Mie:Air = 1:5 b/b
%
Min 85
Menit
Maks 4
5
Kelembaban (kadar air)
%
Maks 8
6
Protein
%
Maks 8
7
Derajat asam
ml NaOH/100 g contoh
Maks 8
8
Bahan
Tambahan
Sesuai SNI 022-M dan Permenkes
Makanan 9
722 Menkes/Per/IX/88
Cemaran Logam a. Timbal (Pb)
mg/kg
Maks 1.0
b. Tembaga (Cu)
mg/kg
Maks 10.00
c. Seng (Zn)
mg/kg
Maks 0.05
10
Arsen (As)
11
Cemaran mikroba
Tidak boleh ada
a. Angka Lempeng total
koloni/g
Maks 1.0 x 106
b.Colform
APM/g
<3
c. Kapang
koloni/g
Maks 1.0 x 104
Sumber : Anonim (1994)
Perpustakaan Unika
7.6
Syarat Mutu Mie Instant
No
1
Uraian
Satuan
Persyaratan
Keadaan a. Bau
Normal
b.Rasa
Normal
c. Warna
Normal
2
Benda-benda asing
Tidak boleh ada
3
Keutuhan
4
Uji kematangan
% b/b
Minimum 90
(bahan:air = 1:5 b/b
menit
Maksimum 4
5
Kadar air
% b/b
Maksimum 11
6
Abu tanpa garam
% b/b
Maksimum 2
7
Protein
% b/b
Minimum 6
8
Derajat asam
ml NaOH/100 g contoh
Maksimum 3
9
Bahan
Tambahan
Yang diijinkan
Makanan 10
Cemaran Logam a. Timbal (Pb)
mg/kg
Maksimum 1.0
b. Tembaga (Cu)
mg/kg
Maksimum 10.00
c. Seng (Zn)
mg/kg
Maksimum 40.0
d. Raksa (Hg)
mg/kg
Maksimum 0.05
11
Arsen (As)
12
Pencemaran mikroba
Maksimum 0.5
a.Angka Lempeng total
koloni/g
Maksimum 1.0 x 106
b.Colform
APM/g
Maksimum 10
c Kapang
koloni/g
Maksimum 1.0 x 104
Sumber : Departemen Perindustrian RI (1990)
Perpustakaan Unika
7.7
Kuesioner
Nama
:
Tanggal
:
Produk
: Mie Instant Goreng Talas / Mie Instant Kering Talas (coret yang tidak perlu)
Kriteria
: Rasa
Dihadapan Anda terdapat sampel mie instant. Lakukan pengujian terhadap rasa. Setelah itu berikan penilaian Anda dengan memasukkan kode sampel pada kotak kode sampel. Keterangan
Kode Sampel
Suka
Tidak Suka Nama
:
Tanggal
:
Produk
: Mie Instant Goreng Talas / Mie Instant Kering Talas (coret yang tidak perlu)
Kriteria
: Warna
Dihadapan Anda terdapat sampel mie instant. Lakukan pengujian terhadap warna. Setelah itu berikan penilaian Anda dengan memasukkan kode sampel pada kotak kode sampel. Keterangan Suka
Tidak Suka
Kode Sampel
Perpustakaan Unika
Nama
:
Tanggal
:
Produk
: Mie Instant Goreng Talas / Mie Instant Kering Talas (coret yang tidak perlu)
Kriteria
: Tekstur
Dihadapan Anda terdapat sampel mie instant. Lakukan pengujian terhadap tekstur. Setelah itu berikan penilaian Anda dengan memasukkan kode sampel pada kotak kode sampel. Keterangan
Kode Sampel
Suka
Tidak Suka
Nama
:
Tanggal
:
Produk
: Mie Instant Goreng Talas / Mie Instant Kering Talas (coret yang tidak perlu)
Kriteria
: Overall
Dihadapan Anda terdapat sampel mie instant. Lakukan pengujian terhadap overall. Setelah itu berikan penilaian Anda dengan memasukkan kode sampel pada kotak kode sampel. Keterangan Suka
Tidak Suka
Kode Sampel
Perpustakaan Unika
7.8
SPSS
Normalitas Tepung
Tests of Normality a
k_air k_abu k_serat k_lemak k_protein k_karbo k_kalsium k_amilosa
jns_tepung Tepung talas Tepung terigu Tepung talas Tepung terigu Tepung talas Tepung terigu Tepung talas Tepung terigu Tepung talas Tepung terigu Tepung talas Tepung terigu Tepung talas Tepung terigu Tepung talas Tepung terigu
Kolmogorov-Smirnov Statistic df Sig. .157 6 .200* .224 6 .200* .208 6 .200* .200 6 .200* .133 6 .200* .176 6 .200* .210 6 .200* .148 6 .200* .196 6 .200* .226 6 .200* .234 6 .200* .197 6 .200* .142 6 .200* .155 6 .200* .221 6 .200* .210 6 .200*
*. This is a lower bound of the true significance. a. Lilliefors Significance Correction
Statistic .949 .910 .939 .872 .982 .937 .914 .979 .879 .929 .889 .878 .994 .961 .908 .947
Shapiro-Wilk df 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6
Sig. .730 .435 .652 .236 .963 .633 .463 .945 .264 .576 .314 .258 .996 .830 .421 .715
Perpustakaan Unika
Deskriptif Tepung Descriptiv es
N k_air
k_abu
k_serat
k_lemak
k_protein
k_karbo
k_kalsium
k_amilosa
Tepung talas Tepung terigu Total Tepung talas Tepung terigu Total Tepung talas Tepung terigu Total Tepung talas Tepung terigu Total Tepung talas Tepung terigu Total Tepung talas Tepung terigu Total Tepung talas Tepung terigu Total Tepung talas Tepung terigu Total
6 6 12 6 6 12 6 6 12 6 6 12 6 6 12 6 6 12 6 6 12 6 6 12
Mean Std. Deviation 8.1368 .05072 11.2462 .05652 9.6915 1.62460 3.1058 .03691 .8975 .04364 2.0017 1.15391 10.2885 .66601 5.1110 .26804 7.6998 2.74684 1.1148 .16329 2.6783 .13149 1.8966 .82865 2.9412 .45727 11.1385 .59443 7.0398 4.31067 74.4128 .62204 68.9285 .72198 71.6707 2.93528 40.8940 .60574 21.1315 .33024 31.0128 10.33111 11.0128 .91991 2.4218 .66251 6.7173 4.55114
Std. Error .02070 .02307 .46898 .01507 .01782 .33310 .27190 .10943 .79295 .06666 .05368 .23921 .18668 .24267 1.24438 .25395 .29475 .84734 .24729 .13482 2.98233 .37555 .27047 1.31380
95% Confidence Interval for Mean Lower Bound Upper Bound 8.0836 8.1901 11.1869 11.3055 8.6593 10.7237 3.0671 3.1446 .8517 .9433 1.2685 2.7348 9.5896 10.9874 4.8297 5.3923 5.9545 9.4450 .9435 1.2862 2.5403 2.8163 1.3701 2.4231 2.4613 3.4210 10.5147 11.7623 4.3010 9.7787 73.7600 75.0656 68.1708 69.6862 69.8057 73.5357 40.2583 41.5297 20.7849 21.4781 24.4487 37.5768 10.0474 11.9782 1.7266 3.1171 3.8257 9.6090
Minimum 8.08 11.17 8.08 3.04 .85 .85 9.28 4.71 4.71 .95 2.49 .95 2.42 10.42 2.42 73.79 68.08 68.08 40.04 20.75 20.75 10.13 1.52 1.52
Maximum 8.22 11.32 11.32 3.15 .95 3.15 11.15 5.39 11.15 1.40 2.85 2.85 3.45 11.95 11.95 75.48 69.75 75.48 41.77 21.63 41.77 12.53 3.29 12.53
Perpustakaan Unika
Normalitas Proksimat Mie Instant Goreng Talas Tests of Normality a
kair_gr
kabu_gr
klmk_gr
ksrt_gr
kprot_gr
kkarbo_gr
k.kal_gr
prlkn 0% 25% 50% 75% 0% 25% 50% 75% 0% 25% 50% 75% 0% 25% 50% 75% 0% 25% 50% 75% 0% 25% 50% 75% 0% 25% 50% 75%
Kolmogorov-Smirnov Statistic df Sig. .254 6 .200* .280 6 .152 .233 6 .200* .240 6 .200* .239 6 .200* .238 6 .200* .285 6 .140 .252 6 .200* .169 6 .200* .233 6 .200* .221 6 .200* .141 6 .200* .134 6 .200* .183 6 .200* .170 6 .200* .194 6 .200* .209 6 .200* .176 6 .200* .162 6 .200* .176 6 .200* .293 6 .118 .159 6 .200* .288 6 .130 .199 6 .200* .194 6 .200* .134 6 .200* .256 6 .200* .219 6 .200*
*. This is a lower bound of the true significance. a. Lilliefors Significance Correction
Statistic .929 .923 .883 .897 .883 .883 .812 .871 .965 .908 .899 .977 .978 .967 .949 .973 .931 .926 .944 .941 .890 .967 .891 .902 .930 .992 .870 .945
Shapiro-Wilk df 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6
Sig. .569 .527 .283 .355 .283 .283 .075 .230 .858 .424 .370 .936 .943 .870 .731 .913 .591 .553 .693 .664 .316 .872 .321 .386 .577 .994 .225 .698
Perpustakaan Unika
Deskriptif Proksimat Mie Instant Goreng Talas Descriptiv es
N kair_gr
kabu_gr
klmk_gr
ksrt_gr
kprot_gr
kkarbo_gr
k.kal_gr
0% 25% 50% 75% Total 0% 25% 50% 75% Total 0% 25% 50% 75% Total 0% 25% 50% 75% Total 0% 25% 50% 75% Total 0% 25% 50% 75% Total 0% 25% 50% 75% Total
6 6 6 6 24 6 6 6 6 24 6 6 6 6 24 6 6 6 6 24 6 6 6 6 24 6 6 6 6 24 6 6 6 6 24
Mean 4.0605 3.7313 3.6213 3.4915 3.7262 1.6560 2.1066 2.3053 2.5904 2.1646 20.8185 19.6917 18.3358 17.0017 18.9619 6.9205 7.8563 8.3223 9.6147 8.1785 10.2522 8.9487 7.8738 6.3162 8.3477 56.2920 57.6662 59.5418 60.9862 58.6215 24.9583 28.2057 31.6672 35.2067 30.0095
Std. Deviation .06210 .11793 .07336 .08947 .23059 .03713 .03697 .04931 .03830 .34966 .31366 .46047 .41363 .59345 1.52447 .42114 .29395 .45264 .27618 1.04969 .44895 .46711 .62467 .57359 1.55667 .67234 .54594 .71012 .98440 1.95364 .46093 .52768 .60177 .81409 3.94934
Std. Error .02535 .04814 .02995 .03653 .04707 .01516 .01509 .02013 .01563 .07137 .12805 .18799 .16886 .24227 .31118 .17193 .12000 .18479 .11275 .21427 .18328 .19070 .25502 .23417 .31775 .27448 .22288 .28991 .40188 .39879 .18818 .21542 .24567 .33235 .80616
95% Confidence Interval for Mean Lower Bound Upper Bound 3.9953 4.1257 3.6076 3.8551 3.5443 3.6983 3.3976 3.5854 3.6288 3.8235 1.6170 1.6950 2.0678 2.1454 2.2535 2.3570 2.5502 2.6306 2.0169 2.3122 20.4893 21.1477 19.2084 20.1749 17.9018 18.7699 16.3789 17.6244 18.3182 19.6056 6.4785 7.3625 7.5479 8.1648 7.8473 8.7974 9.3248 9.9045 7.7352 8.6217 9.7810 10.7233 8.4585 9.4389 7.2183 8.5294 5.7142 6.9181 7.6904 9.0050 55.5864 56.9976 57.0932 58.2391 58.7966 60.2871 59.9531 62.0192 57.7966 59.4465 24.4746 25.4421 27.6519 28.7594 31.0357 32.2987 34.3523 36.0610 28.3418 31.6771
Minimum 3.96 3.58 3.55 3.35 3.35 1.60 2.05 2.24 2.55 1.60 20.42 19.06 17.95 16.21 16.21 6.40 7.49 7.80 9.26 6.40 9.69 8.21 7.15 5.58 5.58 55.54 56.89 58.38 59.86 55.54 24.49 27.38 31.10 34.11 24.49
Maximum 4.15 3.94 3.75 3.58 4.15 1.70 2.15 2.35 2.65 2.65 21.27 20.21 18.95 17.79 21.27 7.58 8.28 8.96 10.06 10.06 10.86 9.42 8.72 7.00 10.86 57.25 58.35 60.27 62.16 62.16 25.72 28.92 32.51 36.20 36.20
Perpustakaan Unika
Post Hoc Proksimat Mie Instant Goreng Talas kabu_gr
KAIR_GR a
Duncan
Duncan
PRLKN 75% 50% 25% 0% Sig.
N
Subset for alpha = .05 2 3
1 3.4915
6 6 6 6
4
prlkn 0% 25% 50% 75% Sig.
3.6213 3.7313 1.000
1.000
1.000
a
4.0605 1.000
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 6.000.
N
1 1.6560
6 6 6 6
2.3053 1.000
Subset for alpha = .05 2 3
1 17.0017
6 6 6 6
4
18.3358 19.6917 1.000
1.000
1.000
20.8185 1.000
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 6.000.
prlkn 0% 25% 50% 75% Sig.
N 6 6 6 6
7.8563 8.3223 1.000
1.000
1.000
9.6147 1.000
kkrbh_gr Duncan
N 6 6 6 6
1 6.3162
Subset for alpha = .05 2 3
4
7.8738 8.9487 1.000
1.000
1.000
10.2522 1.000
a
N 6 6 6 6
1 24.9583
Subset for alpha = .05 2 3
4
28.2057 31.6672 1.000
1.000
1.000
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 6.000.
prlkn 0% 25% 50% 75% Sig.
N 6 6 6 6
1 56.2920
Subset for alpha = .05 2 3
4
57.6662 59.5418 1.000
1.000
1.000
60.9862 1.000
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 6.000.
kkals_gr
prlkn 0% 25% 50% 75% Sig.
4
a
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 6.000.
Duncan
Subset for alpha = .05 2 3
1 6.9205
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 6.000.
a
prlkn 75% 50% 25% 0% Sig.
2.5904 1.000
a
kprot_gr Duncan
1.000
ksrt_gr Duncan
N
1.000
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 6.000.
a
prlkn 75% 50% 25% 0% Sig.
4
2.1066
klmk_gr Duncan
Subset for alpha = .05 2 3
35.2067 1.000
Perpustakaan Unika
Normalitas Proksimat Mie Instant Kering Talas Tests of Normality a
kair_kr
kabu_kr
klmk_kr
ksrt_kr
kprot_kr
kkarbo_kr
kkal_kr
prlkn 0% 25% 50% 75% 0% 25% 50% 75% 0% 25% 50% 75% 0% 25% 50% 75% 0% 25% 50% 75% 0% 25% 50% 75% 0% 25% 50% 75%
Kolmogorov-Smirnov Statistic df Sig. .290 6 .126 .206 6 .200* .224 6 .200* .162 6 .200* .290 6 .125 .259 6 .200* .190 6 .200* .133 6 .200* .166 6 .200* .273 6 .185 .159 6 .200* .242 6 .200* .172 6 .200* .238 6 .200* .171 6 .200* .126 6 .200* .220 6 .200* .178 6 .200* .182 6 .200* .217 6 .200* .214 6 .200* .205 6 .200* .173 6 .200* .252 6 .200* .260 6 .200* .269 6 .200* .225 6 .200* .166 6 .200*
*. This is a lower bound of the true significance. a. Lilliefors Significance Correction
Statistic .883 .870 .937 .942 .918 .922 .889 .995 .965 .902 .976 .909 .949 .889 .964 .982 .883 .958 .964 .882 .886 .878 .948 .885 .887 .858 .885 .916
Shapiro-Wilk df 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6
Sig. .281 .224 .632 .676 .489 .522 .315 .998 .858 .386 .928 .427 .735 .315 .848 .963 .285 .801 .848 .280 .297 .258 .726 .295 .303 .182 .294 .478
Perpustakaan Unika
Deskriptif Proksimat Mie Instant Kering Talas
Descriptives
N kair_kr
kabu_kr
klmk_kr
kprot_kr
ksrt_kr
kkrbh_kr
kkals_kr
0% 25% 50% 75% Total 0% 25% 50% 75% Total 0% 25% 50% 75% Total 0% 25% 50% 75% Total 0% 25% 50% 75% Total 0% 25% 50% 75% Total 0% 25% 50% 75% Total
6 6 6 6 24 6 6 6 6 24 6 6 6 6 24 6 6 6 6 24 6 6 6 6 24 6 6 6 6 24 6 6 6 6 24
Mean 6.7955 6.6030 6.4973 6.3108 6.5517 1.8820 2.1150 2.2943 2.5747 2.2165 2.8902 2.6845 2.4352 2.1803 2.5475 10.6545 9.0630 7.9257 6.7187 8.5905 6.4328 7.0637 7.7897 8.3955 7.4204 71.3452 72.4887 73.0580 73.8282 72.6800 25.6937 29.4243 34.9107 38.7915 32.2050
Std. Deviation .05255 .08028 .05068 .08611 .19045 .05144 .02426 .04572 .04033 .26162 .16556 .21762 .23643 .27861 .34536 .46826 .44571 .46925 .49606 1.54632 .37530 .35818 .30786 .33958 .82184 .57241 .68510 .57392 .54451 1.07929 .36857 .49033 .61771 .45518 5.14916
Std. Error .02145 .03277 .02069 .03516 .03887 .02100 .00990 .01866 .01646 .05340 .06759 .08884 .09652 .11374 .07050 .19117 .18196 .19157 .20252 .31564 .15322 .14623 .12569 .13863 .16776 .23369 .27969 .23430 .22230 .22031 .15047 .20018 .25218 .18583 1.05107
95% Confidence Interval for Mean Lower Bound Upper Bound 6.7404 6.8506 6.5188 6.6872 6.4441 6.5505 6.2205 6.4012 6.4712 6.6321 1.8280 1.9359 2.0895 2.1404 2.2463 2.3423 2.5324 2.6170 2.1060 2.3269 2.7164 3.0639 2.4561 2.9129 2.1871 2.6833 1.8879 2.4727 2.4017 2.6934 10.1631 11.1459 8.5953 9.5307 7.4332 8.4181 6.1981 7.2392 7.9375 9.2434 6.0390 6.8267 6.6878 7.4396 7.4666 8.1128 8.0391 8.7519 7.0734 7.7674 70.7445 71.9459 71.7697 73.2076 72.4557 73.6603 73.2567 74.3996 72.2243 73.1357 25.3069 26.0805 28.9098 29.9389 34.2624 35.5589 38.3138 39.2692 30.0307 34.3793
Minimum 6.72 6.50 6.44 6.21 6.21 1.80 2.09 2.24 2.54 1.80 2.65 2.35 2.12 1.90 1.90 10.12 8.55 7.33 6.18 6.18 5.96 6.70 7.39 7.89 5.96 70.69 71.76 72.19 73.20 70.69 25.03 28.94 34.35 38.31 25.03
Maximum 6.86 6.68 6.58 6.46 6.86 1.95 2.15 2.35 2.64 2.64 3.10 2.93 2.75 2.64 3.10 11.21 9.73 8.69 7.33 11.21 6.91 7.55 8.19 8.82 8.82 72.03 73.31 73.75 74.66 74.66 26.08 30.06 35.86 39.42 39.42
Perpustakaan Unika
Post Hoc Proksimat Mie Instant Kering Talas kair_kr
kabu_kr
a
Duncan
Duncan
prlkn 75% 50% 25% 0% Sig.
N 6 6 6 6
1 6.3108
Subset for alpha = .05 2 3
4
6.4973 6.6030 1.000
1.000
6.7955 1.000
1.000
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 6.000.
a
prlkn 0% 25% 50% 75% Sig.
N
1 1.8820
6 6 6 6
2.2943 1.000
ksrt_kr Duncan
Subset for alpha = .05 1 2 3 2.1803 2.4352 2.4352 2.6845 2.6845 2.8902 .067 .073 .134
N 6 6 6 6
prlkn 0% 25% 50% 75% Sig.
N
1 6.4328
6 6 6 6
7.7897 1.000
Duncan
6 6 6 6
4
7.9257 9.0630 1.000
1.000
1.000
10.6545 1.000
kkals_kr a
N 6 6 6 6
1 25.6937
Subset for alpha = .05 2 3
4
29.4243 34.9107 1.000
1.000
8.3955 1.000
1.000
1.000
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 6.000.
prlkn 0% 25% 50% 75% Sig.
a
N 6 6 6 6
Subset for alpha = .05 1 2 71.3452 72.4887 73.0580 1.000
.114
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 6.000.
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 6.000.
prlkn 0% 25% 50% 75% Sig.
1.000
kkrbh_kr
Subset for alpha = .05 2 3
1 6.7187
4
7.0637
kprot_kr
N
Subset for alpha = .05 2 3
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 6.000.
a
Duncan
2.5747 1.000
1.000
a
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 6.000.
prlkn 75% 50% 25% 0% Sig.
1.000
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 6.000.
a
prlkn 75% 50% 25% 0% Sig.
Duncan
4
2.1150
klmk_kr Duncan
Subset for alpha = .05 2 3
38.7915 1.000
3
73.8282 1.000
Perpustakaan Unika
Normalitas Cooking Yield Mie Instant Talas Tests of Normality a
cy_grng
cy_krng
Kolmogorov-Smirnov Statistic df Sig. .158 6 .200* .229 6 .200* .258 6 .200* .159 6 .200* .213 6 .200* .236 6 .200* .147 6 .200* .145 6 .200*
prlkn 0% 25% 50% 75% 0% 25% 50% 75%
Shapiro-Wilk df 6 6 6 6 6 6 6 6
Sig. .801 .569 .658 .847 .721 .583 .994 .930
95% Confidence Interval for Mean Lower Bound Upper Bound 200.6707 208.7726 208.0002 217.5565 240.3745 247.9589 258.5362 274.2438 221.1628 242.8656 231.1710 240.4957 240.4951 252.2849 294.2813 306.2754 348.2370 363.9863 263.8381 305.4686
Minimum 200.00 206.67 240.00 256.67 200.00 230.00 236.67 291.67 346.67 230.00
Statistic .958 .929 .940 .964 .948 .930 .992 .976
*. This is a lower bound of the true significance. a. Lilliefors Significance Correction
Diskriptif Cooking Yield Mie Instant Talas Descriptives
N cy_grng
0% 25% 50% 75% Total 0% 25% 50% 75% Total
cy_krng
Mean 204.7217 212.7783 244.1667 266.3900 232.0142 235.8333 246.3900 300.2783 356.1117 284.6533
6 6 6 6 24 6 6 6 6 24
Std. Deviation 3.86010 4.55306 3.61356 7.48386 25.69821 4.44272 5.61717 5.71454 7.50373 49.29446
Std. Error 1.57588 1.85878 1.47523 3.05527 5.24563 1.81373 2.29320 2.33295 3.06338 10.06219
Maximum 210.00 218.33 250.00 276.67 276.67 241.67 253.33 308.33 366.67 366.67
Post Hoc Cooking Yield Mie Instant Talas
cy_krng
cy_grng a
Duncan
Duncan prlkn 0% 25% 50% 75% Sig.
N 6 6 6 6
1 204.7217
Subset for alpha = .05 2 3
4
212.7783 244.1667 1.000
1.000
1.000
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 6.000.
266.3900 1.000
prlkn 0% 25% 50% 75% Sig.
a
N 6 6 6 6
1 235.8333
Subset for alpha = .05 2 3
4
246.3900 300.2783 1.000
1.000
1.000
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 6.000.
356.1117 1.000
Perpustakaan Unika
Normalitas TBA Umur Simpan Mie Instant Goreng Talas Tests of Normality a
MIGTA
MIGTB
MIGTC
MIGTD
one hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari
ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke
0 7 14 21 28 35 42 49 56 0 7 14 21 28 35 42 49 56 0 7 14 21 28 35 42 49 56 0 7 14 21 28 35 42 49 56
Kolmogorov-Smirnov Statistic df Sig. .238 6 .200* .177 6 .200* .208 6 .200* .188 6 .200* .177 6 .200* .171 6 .200* .206 6 .200* .155 6 .200* .194 6 .200* .157 6 .200* .224 6 .200* .134 6 .200* .230 6 .200* .251 6 .200* .221 6 .200* .150 6 .200* .137 6 .200* .183 6 .200* .164 6 .200* .216 6 .200* .183 6 .200* .157 6 .200* .157 6 .200* .158 6 .200* .204 6 .200* .152 6 .200* .144 6 .200* .183 6 .200* .198 6 .200* .129 6 .200* .132 6 .200* .156 6 .200* .145 6 .200* .206 6 .200* .209 6 .200* .196 6 .200*
*. This is a lower bound of the true significance. a. Lilliefors Significance Correction
Statistic .846 .940 .964 .951 .949 .941 .945 .979 .962 .945 .901 .977 .927 .943 .869 .992 .976 .959 .985 .855 .972 .968 .935 .956 .889 .951 .979 .910 .972 .984 .967 .969 .968 .924 .966 .948
Shapiro-Wilk df 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6
Sig. .145 .658 .853 .750 .735 .668 .697 .946 .838 .702 .380 .935 .559 .684 .222 .994 .929 .809 .974 .174 .906 .877 .622 .791 .315 .750 .949 .438 .908 .968 .871 .887 .882 .536 .862 .724
Perpustakaan Unika
Deskriptif TBA Umur Simpan Mie Instant Goreng Talas Descriptiv es
N MIGTA
MIGTB
MIGTC
MIGTD
hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke Total hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke Total hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke Total hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke Total
0 7 14 21 28 35 42 49 56 0 7 14 21 28 35 42 49 56 0 7 14 21 28 35 42 49 56 0 7 14 21 28 35 42 49 56
6 6 6 6 6 6 6 6 6 54 6 6 6 6 6 6 6 6 6 54 6 6 6 6 6 6 6 6 6 54 6 6 6 6 6 6 6 6 6 54
Mean .040950 .067470 .096759 .110760 .136110 .289458 .493467 .562770 .626496 .269360 .037479 .063999 .093405 .107601 .123240 .231270 .316017 .401076 .468273 .204707 .034905 .061542 .092469 .096408 .116610 .217854 .296673 .354276 .422292 .188114 .033774 .060645 .090714 .087360 .108381 .198081 .262821 .311376 .403728 .172987
Std. Deviation .0084629 .0068633 .0066379 .0106891 .0160037 .0137380 .0082737 .0096208 .0079238 .2208088 .0086173 .0056447 .0061723 .0084777 .0086418 .0078460 .0084068 .0093048 .0089282 .1496535 .0058348 .0074778 .0082684 .0066383 .0071340 .0085197 .0083619 .0100462 .0083189 .1336376 .0074494 .0065007 .0061816 .0063494 .0069925 .0073890 .0133404 .0081473 .0092620 .1221861
Std. Error .0034550 .0028019 .0027099 .0043638 .0065335 .0056085 .0033777 .0039277 .0032349 .0300483 .0035180 .0023044 .0025198 .0034610 .0035280 .0032031 .0034320 .0037987 .0036449 .0203653 .0023821 .0030528 .0033756 .0027101 .0029124 .0034781 .0034137 .0041013 .0033962 .0181858 .0030412 .0026539 .0025236 .0025921 .0028547 .0030165 .0054462 .0033261 .0037812 .0166274
95% Confidence Interval for Mean Lower Bound Upper Bound .032069 .049831 .060267 .074673 .089793 .103725 .099542 .121978 .119315 .152905 .275041 .303875 .484784 .502150 .552674 .572866 .618180 .634812 .209091 .329629 .028436 .046522 .058075 .069923 .086928 .099882 .098704 .116498 .114171 .132309 .223036 .239504 .307195 .324839 .391311 .410841 .458903 .477643 .163859 .245554 .028782 .041028 .053695 .069389 .083792 .101146 .089441 .103375 .109123 .124097 .208913 .226795 .287898 .305448 .343733 .364819 .413562 .431022 .151638 .224590 .025956 .041592 .053823 .067467 .084227 .097201 .080697 .094023 .101043 .115719 .190327 .205835 .248821 .276821 .302826 .319926 .394008 .413448 .139636 .206337
Minimum .0342 .0587 .0878 .0973 .1121 .2745 .4827 .5480 .6147 .0342 .0267 .0569 .0838 .0957 .1095 .2209 .3035 .3870 .4568 .0267 .0262 .0477 .0803 .0885 .1093 .2045 .2817 .3414 .4109 .0262 .0215 .0512 .0828 .0770 .0992 .1893 .2408 .3012 .3934 .0215
Maximum .0559 .0758 .1058 .1247 .1537 .3126 .5040 .5752 .6367 .6367 .0482 .0707 .1009 .1172 .1362 .2389 .3281 .4125 .4799 .4799 .0428 .0681 .1034 .1074 .1282 .2279 .3047 .3667 .4336 .4336 .0412 .0697 .0997 .0948 .1198 .2099 .2766 .3234 .4175 .4175
Perpustakaan Unika
One Way TBA Umur Simpan Mie Instant Goreng Talas MIGTA a
Duncan one hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke Sig.
N 0 7 14 21 28 35 42 49 56
6 6 6 6 6 6 6 6 6
1 .040950
2
3
4
Subset for alpha = .05 5 6
7
8
9
.067470 .096759 .110760 .136110 .289458 .493467 .562770 1.000
1.000
1.000
1.000
1.000
1.000
1.000
1.000
7
8
.626496 1.000
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 6.000.
MIGTB a
Duncan one hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke Sig.
N 0 7 14 21 28 35 42 49 56
6 6 6 6 6 6 6 6 6
1 .037479
2
3
4
Subset for alpha = .05 5 6
9
.063999 .093405 .107601 .123240 .231270 .316017 .401076 1.000
1.000
1.000
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 6.000.
1.000
1.000
1.000
1.000
1.000
.468273 1.000
Perpustakaan Unika
MIGTC a
Duncan one hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke Sig.
N 0 7 14 21 28 35 42 49 56
6 6 6 6 6 6 6 6 6
1 .034905
2
Subset for alpha = .05 4 5
3
6
7
8
.061542 .092469 .096408 .116610 .217854 .296673 .354276 1.000
1.000
.394
1.000
1.000
1.000
1.000
6
7
.422292 1.000
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 6.000.
MIGTD a
Duncan one hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke Sig.
N 0 7 21 14 28 35 42 49 56
6 6 6 6 6 6 6 6 6
1 .033774
2
3
Subset for alpha = .05 4 5
8
.060645 .087360 .090714 .108381 .198081 .262821 .311376 1.000
1.000
.484
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 6.000.
1.000
1.000
1.000
1.000
.403728 1.000
Perpustakaan Unika
Normalitas TBA Umur Simpan Mie Instant Talas Kering Tests of Normality a
MIKTA
MIKTB
MKTC
MIKTD
one hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari
ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke
0 7 14 21 28 35 42 49 56 0 7 14 21 28 35 42 49 56 0 7 14 21 28 35 42 49 56 0 7 14 21 28 35 42 49 56
Kolmogorov-Smirnov Statistic df Sig. .173 6 .200* .172 6 .200* .165 6 .200* .217 6 .200* .152 6 .200* .184 6 .200* .254 6 .200* .178 6 .200* .183 6 .200* .166 6 .200* .132 6 .200* .227 6 .200* .180 6 .200* .245 6 .200* .179 6 .200* .186 6 .200* .176 6 .200* .164 6 .200* .130 6 .200* .221 6 .200* .144 6 .200* .141 6 .200* .206 6 .200* .148 6 .200* .247 6 .200* .218 6 .200* .234 6 .200* .111 6 .200* .240 6 .200* .194 6 .200* .291 6 .123 .151 6 .200* .185 6 .200* .189 6 .200* .188 6 .200* .182 6 .200*
*. This is a lower bound of the true significance. a. Lilliefors Significance Correction
Statistic .959 .977 .923 .953 .974 .913 .906 .974 .947 .922 .995 .929 .955 .906 .957 .940 .928 .972 .979 .925 .981 .965 .917 .966 .916 .950 .930 .992 .959 .929 .813 .958 .931 .962 .949 .946
Shapiro-Wilk df 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6
Sig. .815 .934 .529 .762 .920 .456 .411 .916 .712 .519 .998 .572 .782 .411 .799 .660 .565 .903 .946 .538 .958 .856 .487 .864 .477 .737 .581 .994 .812 .572 .076 .802 .585 .832 .729 .708
Perpustakaan Unika
Deskriptif TBA Umur Simpan Mie Instant Talas Kering Descriptiv es
N MIKTA
MIKTB
MKTC
MIKTD
hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke Total hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke Total hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke Total hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke Total
0 7 14 21 28 35 42 49 56 0 7 14 21 28 35 42 49 56 0 7 14 21 28 35 42 49 56 0 7 14 21 28 35 42 49 56
6 6 6 6 6 6 6 6 6 54 6 6 6 6 6 6 6 6 6 54 6 6 6 6 6 6 6 6 6 54 6 6 6 6 6 6 6 6 6 54
Mean .033189 .073017 .089193 .118053 .165789 .186537 .234858 .301431 .347958 .172225 .029133 .070867 .085995 .112632 .159471 .182481 .218712 .258843 .286611 .156083 .025896 .068900 .083850 .108849 .152490 .170547 .211341 .241059 .274131 .148563 .021489 .063983 .078000 .094887 .147147 .162006 .206115 .232596 .253539 .139974
Std. Deviation .0038090 .0066943 .0093885 .0071357 .0042502 .0072403 .0108851 .0066374 .0072366 .1015823 .0074023 .0060928 .0063805 .0073368 .0065399 .0074725 .0041111 .0082046 .0063851 .0842826 .0041297 .0059005 .0052170 .0059758 .0052149 .0060541 .0067438 .0073855 .0048132 .0797443 .0064906 .0069217 .0072663 .0163925 .0064939 .0061692 .0041948 .0057165 .0073667 .0771457
Std. Error .0015550 .0027329 .0038328 .0029131 .0017351 .0029558 .0044438 .0027097 .0029543 .0138236 .0030220 .0024874 .0026048 .0029952 .0026699 .0030506 .0016784 .0033495 .0026067 .0114694 .0016860 .0024089 .0021298 .0024396 .0021290 .0024716 .0027531 .0030151 .0019650 .0108518 .0026498 .0028258 .0029665 .0066922 .0026511 .0025186 .0017125 .0023338 .0030075 .0104982
95% Confidence Interval for Mean Lower Bound Upper Bound .029192 .037186 .065991 .080042 .079340 .099046 .110565 .125541 .161329 .170249 .178939 .194135 .223435 .246281 .294465 .308397 .340364 .355552 .144498 .199952 .021365 .036901 .064473 .077261 .079299 .092691 .104932 .120332 .152608 .166334 .174639 .190323 .214398 .223026 .250233 .267453 .279910 .293312 .133078 .179087 .021562 .030230 .062708 .075092 .078375 .089325 .102578 .115120 .147017 .157963 .164194 .176900 .204264 .218418 .233308 .248810 .269080 .279182 .126797 .170329 .014678 .028300 .056719 .071247 .070374 .085626 .077684 .112090 .140332 .153962 .155532 .168480 .201713 .210517 .226597 .238595 .245808 .261270 .118917 .161030
Minimum .0278 .0644 .0756 .1090 .1596 .1769 .2232 .2920 .3388 .0278 .0201 .0625 .0786 .1013 .1502 .1736 .2118 .2466 .2782 .0201 .0208 .0599 .0763 .1020 .1453 .1624 .2029 .2321 .2675 .0208 .0122 .0550 .0688 .0639 .1383 .1526 .2003 .2256 .2441 .0122
Maximum .0379 .0838 .0990 .1278 .1711 .1945 .2544 .3101 .3573 .3573 .0379 .0798 .0955 .1212 .1666 .1933 .2232 .2675 .2958 .2958 .0321 .0751 .0906 .1182 .1584 .1781 .2207 .2513 .2799 .2799 .0302 .0744 .0873 .1081 .1549 .1687 .2115 .2403 .2633 .2633
Perpustakaan Unika
One Way TBA Umur Simpan Mie Instant Talas Kering
MIKTA a
Duncan one hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke Sig.
N 0 7 14 21 28 35 42 49 56
6 6 6 6 6 6 6 6 6
1 .033189
2
3
4
Subset for alpha = .05 5 6
7
8
9
.073017 .089193 .118053 .165789 .186537 .234858 .301431 1.000
1.000
1.000
1.000
1.000
1.000
1.000
1.000
7
8
.347958 1.000
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 6.000.
MIKTB a
Duncan one hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke Sig.
N 0 7 14 21 28 35 42 49 56
6 6 6 6 6 6 6 6 6
1 .029133
2
3
4
Subset for alpha = .05 5 6
9
.070867 .085995 .112632 .159471 .182481 .218712 .258843 1.000
1.000
1.000
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 6.000.
1.000
1.000
1.000
1.000
1.000
.286611 1.000
Perpustakaan Unika
MKTC a
Duncan one hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke Sig.
N 0 7 14 21 28 35 42 49 56
6 6 6 6 6 6 6 6 6
1 .025896
2
3
4
Subset for alpha = .05 5 6
7
8
9
.068900 .083850 .108849 .152490 .170547 .211341 .241059 1.000
1.000
1.000
1.000
1.000
1.000
1.000
1.000
7
8
.274131 1.000
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 6.000.
MIKTD a
Duncan one hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke Sig.
N 0 7 14 21 28 35 42 49 56
6 6 6 6 6 6 6 6 6
1 .021489
2
3
4
Subset for alpha = .05 5 6
9
.063983 .078000 .094887 .147147 .162006 .206115 .232596 1.000
1.000
1.000
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 6.000.
1.000
1.000
1.000
1.000
1.000
.253539 1.000
Perpustakaan Unika
NORMALITAS KADAR AIR MIE INSTANT GORENG TALAS (PENYIMPANAN) Tests of Normality a
M IGTA
M IGTB
M IGTC
M IGTD
one hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari
ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke
0 7 14 21 28 35 42 49 56 0 7 14 21 28 35 42 49 56 0 7 14 21 28 35 42 49 56 0 7 14 21 28 35 42 49 56
Kol mogorov-Smi rnov Stati sti c df Si g. .254 6 .200* .269 6 .199 .290 6 .126 .223 6 .200* .129 6 .200* .218 6 .200* .252 6 .200* .161 6 .200* .219 6 .200* .279 6 .157 .237 6 .200* .258 6 .200* .164 6 .200* .208 6 .200* .204 6 .200* .206 6 .200* .189 6 .200* .176 6 .200* .234 6 .200* .148 6 .200* .123 6 .200* .157 6 .200* .191 6 .200* .220 6 .200* .214 6 .200* .210 6 .200* .167 6 .200* .241 6 .200* .128 6 .200* .179 6 .200* .210 6 .200* .168 6 .200* .219 6 .200* .280 6 .156 .250 6 .200* .224 6 .200*
*. Thi s i s a l ower bound of the true si gni ficance. a. Li ll iefors Si gni fi cance Correcti on
Stati sti c .929 .908 .891 .953 .988 .935 .916 .990 .912 .924 .906 .915 .957 .925 .950 .914 .938 .975 .883 .980 .981 .964 .933 .962 .939 .908 .947 .896 .991 .958 .921 .949 .901 .811 .912 .936
Shapi ro-Wi lk df 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6
Si g. .570 .425 .324 .764 .984 .617 .475 .989 .447 .532 .409 .470 .793 .543 .740 .465 .644 .922 .285 .952 .954 .850 .602 .836 .648 .426 .719 .353 .991 .803 .514 .735 .380 .073 .447 .627
Perpustakaan Unika
DESKRIPTIF KADAR AIR MIE INSTANT GORENG TALAS (PENYIMPANAN) Descriptiv es
N MIGTA
MIGTB
MIGTC
MIGTD
hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke Total hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke Total hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke Total hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke Total
0 7 14 21 28 35 42 49 56 0 7 14 21 28 35 42 49 56 0 7 14 21 28 35 42 49 56 0 7 14 21 28 35 42 49 56
6 6 6 6 6 6 6 6 6 54 6 6 6 6 6 6 6 6 6 54 6 6 6 6 6 6 6 6 6 54 6 6 6 6 6 6 6 6 6 54
Mean 4.0607 4.5707 4.7150 4.9770 5.5950 5.9624 6.5029 7.0633 7.2013 5.6276 3.7311 4.2935 4.6152 5.1791 5.3432 5.8771 6.4504 6.7139 6.9109 5.4572 3.6211 4.0883 4.4252 4.9485 5.1473 6.0138 6.7887 7.1234 7.5441 5.5223 3.4914 3.9056 4.3274 4.4358 4.9187 6.0698 6.6574 7.2387 7.8530 5.4331
Std. Deviation .06206 .04356 .20916 .07636 .10493 .12164 .17270 .08016 .11160 1.08263 .11801 .09716 .16895 .12402 .12944 .06434 .09672 .10933 .18036 1.06964 .07333 .12973 .12474 .16852 .09848 .13241 .10214 .11511 .12139 1.34379 .08936 .16390 .08738 .14318 .14339 .08342 .09934 .07640 .07677 1.49335
Std. Error .02534 .01779 .08539 .03118 .04284 .04966 .07051 .03272 .04556 .14733 .04818 .03967 .06898 .05063 .05284 .02627 .03949 .04463 .07363 .14556 .02994 .05296 .05093 .06880 .04020 .05406 .04170 .04699 .04956 .18287 .03648 .06691 .03567 .05845 .05854 .03406 .04055 .03119 .03134 .20322
95% Confidence Interval for Mean Lower Bound Upper Bound 3.9956 4.1259 4.5249 4.6164 4.4955 4.9345 4.8969 5.0571 5.4849 5.7051 5.8348 6.0901 6.3217 6.6842 6.9791 7.1474 7.0842 7.3184 5.3321 5.9231 3.6073 3.8550 4.1915 4.3955 4.4379 4.7925 5.0489 5.3092 5.2073 5.4790 5.8096 5.9447 6.3488 6.5519 6.5991 6.8286 6.7217 7.1002 5.1652 5.7491 3.5441 3.6980 3.9522 4.2245 4.2943 4.5561 4.7716 5.1254 5.0439 5.2506 5.8749 6.1528 6.6815 6.8959 7.0026 7.2442 7.4167 7.6715 5.1555 5.8891 3.3976 3.5851 3.7336 4.0776 4.2357 4.4191 4.2855 4.5860 4.7682 5.0692 5.9822 6.1573 6.5532 6.7617 7.1585 7.3189 7.7725 7.9336 5.0255 5.8407
Minimum 3.96 4.49 4.33 4.89 5.46 5.76 6.20 6.96 7.06 3.96 3.57 4.13 4.43 5.03 5.20 5.79 6.35 6.59 6.69 3.57 3.55 3.93 4.26 4.75 5.02 5.83 6.67 6.99 7.40 3.55 3.35 3.67 4.22 4.27 4.70 5.99 6.57 7.11 7.74 3.35
Maximum 4.15 4.62 4.95 5.09 5.75 6.10 6.71 7.19 7.33 7.33 3.93 4.39 4.86 5.36 5.52 5.96 6.58 6.87 7.18 7.18 3.75 4.30 4.60 5.20 5.26 6.23 6.96 7.26 7.72 7.72 3.58 4.13 4.46 4.62 5.09 6.20 6.85 7.32 7.95 7.95
Perpustakaan Unika
ONE WAY KADAR AIR MIE INSTANT GORENG TALAS (PENYIMPANAN) MIGTA a
Duncan one hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke Sig.
N 0 7 14 21 28 35 42 49 56
6 6 6 6 6 6 6 6 6
1 4.0607
2
3
Subset for alpha = .05 4 5
6
7
8
4.5707 4.7150 4.9770 5.5950 5.9624 6.5029
1.000
1.000
1.000
1.000
1.000
1.000
1.000
7.0633 7.2013 .053
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 6.000.
MIGTB a
Duncan one hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke Sig.
N 0 7 14 21 28 35 42 49 56
6 6 6 6 6 6 6 6 6
1 3.7311
2
3
4
Subset for alpha = .05 5 6
7
8
9
4.2935 4.6152 5.1791 5.3432 5.8771 6.4504 6.7139 1.000
1.000
1.000
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 6.000.
1.000
1.000
1.000
1.000
1.000
6.9109 1.000
Perpustakaan Unika
MIGTC a
Duncan one hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke Sig.
N 0 7 14 21 28 35 42 49 56
6 6 6 6 6 6 6 6 6
1 3.6211
2
3
4
Subset for alpha = .05 5 6
7
8
9
4.0883 4.4252 4.9485 5.1473 6.0138 6.7887 7.1234 1.000
1.000
1.000
1.000
1.000
1.000
1.000
7.5441 1.000
1.000
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 6.000.
MIGTD a
Duncan one hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke Sig.
N 0 7 14 21 28 35 42 49 56
6 6 6 6 6 6 6 6 6
1 3.4914
2
3
Subset for alpha = .05 4 5
6
7
8
3.9056 4.3274 4.4358 4.9187 6.0698 6.6574 7.2387 1.000
1.000
.100
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 6.000.
1.000
1.000
1.000
1.000
7.8530 1.000
Perpustakaan Unika
NORMALITAS KADAR AIR MIE INSTANT KERING TALAS (PENYIMPANAN) Tests of Normality a
MIKTA
MIKTB
MIKTC
MIKTD
one hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari hari
ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke ke
0 7 14 21 28 35 42 49 56 0 7 14 21 28 35 42 49 56 0 7 14 21 28 35 42 49 56 0 7 14 21 28 35 42 49 56
Kolmogorov-Smirnov Statistic df Sig. .288 6 .131 .172 6 .200* .199 6 .200* .252 6 .200* .254 6 .200* .213 6 .200* .178 6 .200* .182 6 .200* .235 6 .200* .205 6 .200* .241 6 .200* .167 6 .200* .196 6 .200* .177 6 .200* .134 6 .200* .177 6 .200* .183 6 .200* .169 6 .200* .227 6 .200* .173 6 .200* .182 6 .200* .183 6 .200* .148 6 .200* .183 6 .200* .160 6 .200* .210 6 .200* .134 6 .200* .164 6 .200* .225 6 .200* .206 6 .200* .203 6 .200* .210 6 .200* .284 6 .141 .208 6 .200* .209 6 .200* .276 6 .172
*. This is a lower bound of the true significance. a. Lilliefors Significance Correction
Statistic .885 .928 .912 .939 .832 .892 .940 .951 .942 .870 .927 .936 .952 .956 .980 .915 .945 .961 .935 .980 .942 .940 .977 .940 .967 .918 .991 .943 .912 .961 .933 .953 .864 .923 .894 .763
Shapiro-Wilk df 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6
Sig. .292 .567 .453 .648 .111 .326 .663 .745 .679 .227 .561 .624 .757 .790 .950 .470 .700 .825 .615 .951 .673 .655 .938 .657 .868 .489 .990 .681 .453 .829 .604 .765 .204 .526 .340 .027
Perpustakaan Unika
DESKRIPTIF KADAR AIR MIE INSTANT KERING TALAS (PENYIMPANAN) Descriptiv es
N MIKTA
MIKTB
MIKTC
MIKTD
hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke Total hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke Total hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke Total hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke Total
0 7 14 21 28 35 42 49 56 0 7 14 21 28 35 42 49 56 0 7 14 21 28 35 42 49 56 0 7 14 21 28 35 42 49 56
6 6 6 6 6 6 6 6 6 54 6 6 6 6 6 6 6 6 6 54 6 6 6 6 6 6 6 6 6 54 6 6 6 6 6 6 6 6 6 54
Mean 6.7956 7.3518 7.7328 8.2852 8.7838 9.3448 9.6088 10.2534 10.8855 8.7824 6.6029 6.9776 7.8319 8.0106 8.7955 9.0395 9.5568 9.7000 10.5961 8.5679 6.4973 6.6918 7.2043 7.7141 8.0504 8.7839 9.5852 9.9622 10.9343 8.3804 6.3108 6.5734 6.9389 7.5114 8.2483 8.5806 9.8597 10.6285 11.4654 8.4574
Std. Deviation .05256 .14986 .09923 .10711 .16020 .12368 .09312 .10374 .10475 1.30429 .08034 .08995 .12221 .14788 .07303 .08230 .11223 .08287 .13317 1.25773 .05094 .12680 .08273 .07802 .13692 .13307 .17146 .14010 .09363 1.46960 .08600 .10544 .15033 .14235 .15276 .11089 .14091 .12172 .12303 1.75695
Std. Error .02146 .06118 .04051 .04373 .06540 .05049 .03801 .04235 .04276 .17749 .03280 .03672 .04989 .06037 .02981 .03360 .04582 .03383 .05437 .17116 .02080 .05177 .03377 .03185 .05590 .05433 .07000 .05720 .03823 .19999 .03511 .04305 .06137 .05811 .06236 .04527 .05753 .04969 .05023 .23909
95% Confidence Interval for Mean Lower Bound Upper Bound 6.7405 6.8508 7.1946 7.5091 7.6287 7.8369 8.1728 8.3976 8.6157 8.9520 9.2150 9.4746 9.5111 9.7065 10.1445 10.3622 10.7756 10.9954 8.4264 9.1384 6.5186 6.6873 6.8832 7.0720 7.7036 7.9601 7.8555 8.1658 8.7189 8.8721 8.9531 9.1258 9.4390 9.6746 9.6130 9.7870 10.4563 10.7358 8.2246 8.9112 6.4438 6.5507 6.5587 6.8249 7.1175 7.2911 7.6322 7.7959 7.9067 8.1941 8.6443 8.9236 9.4053 9.7651 9.8152 10.1092 10.8361 11.0326 7.9793 8.7815 6.2205 6.4010 6.4628 6.6841 6.7812 7.0967 7.3620 7.6607 8.0880 8.4086 8.4643 8.6970 9.7118 10.0075 10.5007 10.7562 11.3363 11.5946 7.9779 8.9370
Minimum 6.72 7.16 7.62 8.12 8.66 9.20 9.51 10.13 10.75 6.72 6.50 6.86 7.62 7.79 8.71 8.92 9.44 9.60 10.42 6.50 6.44 6.50 7.11 7.62 7.88 8.62 9.37 9.72 10.80 6.44 6.21 6.43 6.75 7.32 8.04 8.47 9.70 10.52 11.23 6.21
Maximum 6.86 7.53 7.88 8.41 9.04 9.49 9.75 10.39 11.06 11.06 6.68 7.10 7.96 8.19 8.90 9.14 9.75 9.82 10.77 10.77 6.58 6.86 7.33 7.82 8.25 8.95 9.82 10.11 11.08 11.08 6.46 6.69 7.16 7.68 8.45 8.79 10.05 10.84 11.55 11.55
Perpustakaan Unika
ONE WAY KADAR AIR MIE INSTANT KERING TALAS (PENYIMPANAN)
MIKTA a
Duncan one hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke Sig.
N 0 7 14 21 28 35 42 49 56
6 6 6 6 6 6 6 6 6
1 6.7956
2
3
4
Subset for alpha = .05 5 6
7
8
9
7.3518 7.7328 8.2852 8.7838 9.3448 9.6088 10.2534 1.000
1.000
1.000
1.000
1.000
1.000
1.000
1.000
7
8
10.8855 1.000
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 6.000.
MIKTB a
Duncan one hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke Sig.
N 0 7 14 21 28 35 42 49 56
6 6 6 6 6 6 6 6 6
1 6.6029
2
3
4
Subset for alpha = .05 5 6
9
6.9776 7.8319 8.0106 8.7955 9.0395 9.5568 9.7000 1.000
1.000
1.000
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 6.000.
1.000
1.000
1.000
1.000
1.000
10.5961 1.000
Perpustakaan Unika
MIKTC a
Duncan one hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke Sig.
N 0 7 14 21 28 35 42 49 56
6 6 6 6 6 6 6 6 6
1 6.4973
2
3
4
Subset for alpha = .05 5 6
7
8
9
6.6918 7.2043 7.7141 8.0504 8.7839 9.5852 9.9622 1.000
1.000
1.000
1.000
1.000
1.000
1.000
1.000
7
8
10.9343 1.000
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 6.000.
MIKTD a
Duncan one hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke hari ke Sig.
N 0 7 14 21 28 35 42 49 56
6 6 6 6 6 6 6 6 6
1 6.3108
2
3
4
Subset for alpha = .05 5 6
9
6.5734 6.9389 7.5114 8.2483 8.5806 9.8597 10.6285 1.000
1.000
1.000
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 6.000.
1.000
1.000
1.000
1.000
1.000
11.4654 1.000
Perpustakaan Unika
Normalitas Protein akhir Mie Instant Talas Goreng Tests of Normality a
KPROT_GR
PENGUJIA kontrol_hari 0 25%_hari 0 50%_hari 0 75%_hari 0 kontrol_hari 56 25%_hari 56 50%_hari 56 75%_hari 56
Kolmogorov-Smirnov Statistic df Sig. .209 6 .200* .176 6 .200* .162 6 .200* .176 6 .200* .230 6 .200* .203 6 .200* .160 6 .200* .155 6 .200*
Statistic .931 .926 .944 .941 .893 .917 .970 .985
Shapiro-Wilk df 6 6 6 6 6 6 6 6
Sig. .591 .553 .693 .664 .335 .486 .896 .975
*. This is a lower bound of the true significance. a. Lilliefors Significance Correction
Deskriptif Protein Akhir Mie Instant Talas Goreng Descriptiv es KPROT_GR
N kontrol_hari 0 25%_hari 0 50%_hari 0 75%_hari 0 kontrol_hari 56 25%_hari 56 50%_hari 56 75%_hari 56 Total
6 6 6 6 6 6 6 6 48
Mean 10.2522 8.9487 7.8738 6.3162 9.8163 8.7092 7.4498 6.0418 8.1760
Std. Deviation .44895 .46711 .62467 .57359 .68828 .50537 .64796 .65915 1.54851
Std. Error .18328 .19070 .25502 .23417 .28099 .20631 .26453 .26910 .22351
95% Confidence Interval for Mean Lower Bound Upper Bound 9.7810 10.7233 8.4585 9.4389 7.2183 8.5294 5.7142 6.9181 9.0940 10.5386 8.1788 9.2395 6.7698 8.1298 5.3501 6.7336 7.7264 8.6256
Minimum 9.69 8.21 7.15 5.58 9.07 7.99 6.65 5.11 5.11
Maximum 10.86 9.42 8.72 7.00 11.07 9.27 8.37 6.92 11.07
Perpustakaan Unika
One Way Protein Akhir Mie Instant Talas Goreng KPROT_GR a
Duncan
PENGUJIA 75%_hari 56 75%_hari 0 50%_hari 56 50%_hari 0 25%_hari 56 25%_hari 0 kontrol_hari 56 kontrol_hari 0 Sig.
N 6 6 6 6 6 6 6 6
1 6.0418 6.3162
Subset for alpha = .05 2 3
4
7.4498 7.8738 8.7092 8.9487
.420
.215
.481
9.8163 10.2522 .203
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 6.000.
..
Normalitas Protein akhir Mie Instant Talas Kering Tests of Normality a
KPROT_KR
PENGUJIA kontrol_hari 0 25%_hari 0 50%_hari 0 75%_hari 0 kontrol_hari 56 25%_hari 56 50%_hari 56 75%_hari 56
Kolmogorov-Smirnov Statistic df Sig. .220 6 .200* .178 6 .200* .182 6 .200* .217 6 .200* .151 6 .200* .162 6 .200* .207 6 .200* .178 6 .200*
*. This is a lower bound of the true significance. a. Lilliefors Significance Correction
Statistic .883 .958 .964 .882 .954 .987 .911 .970
Shapiro-Wilk df 6 6 6 6 6 6 6 6
Sig. .285 .801 .848 .280 .769 .979 .441 .895
Perpustakaan Unika
Deskriptif Protein Akhir Mie Instant Talas Kering Descriptiv es KPROT_KR
N kontrol_hari 0 25%_hari 0 50%_hari 0 75%_hari 0 kontrol_hari 56 25%_hari 56 50%_hari 56 75%_hari 56 Total
6 6 6 6 6 6 6 6 48
Mean 10.6545 9.0630 7.9257 6.7187 10.3977 8.7105 7.5422 6.2197 8.4040
Std. Deviation .46826 .44571 .46925 .49606 .66251 .77020 .79883 .53193 1.61833
Std. Error .19117 .18196 .19157 .20252 .27047 .31443 .32612 .21716 .23359
95% Confidence Interval for Mean Lower Bound Upper Bound 10.1631 11.1459 8.5953 9.5307 7.4332 8.4181 6.1981 7.2392 9.7024 11.0929 7.9022 9.5188 6.7038 8.3805 5.6614 6.7779 7.9341 8.8739
One Way Protein Akhir Mie Instant Talas Kering KPROT_KR a
Duncan
PENGUJIA 75%_hari 56 75%_hari 0 50%_hari 56 50%_hari 0 25%_hari 56 25%_hari 0 kontrol_hari 56 kontrol_hari 0 Sig.
N 6 6 6 6 6 6 6 6
1 6.2197 6.7187
Subset for alpha = .05 2 3
4
7.5422 7.9257 8.7105 9.0630
.155
.271
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 6.000.
.311
10.3977 10.6545 .459
Minimum 10.12 8.55 7.33 6.18 9.65 7.67 6.58 5.54 5.54
Maximum 11.21 9.73 8.69 7.33 11.51 9.92 8.52 6.98 11.51
Perpustakaan Unika
7.9
Tabel Konversi
T = 40oC 0 hari 7 hari 14 hari 21 hari 28 hari 35 hari 42 hari 49 hari 56 hari 7.10
Daftar Peserta FGD
y
Edwin
y
Novita
y
Andika
y
Meiliana
y
Desi
y
Ayu
y
Karina
y
Ella
y
Christian
y
Eveline
Q10
T = 25oC 0 bulan 0.71 bulan 1.41 bulan 2.12 bulan 2.82 bulan 3.53 bulan 4.23 bulan 4.93 bulan 5.65 bulan
Perpustakaan Unika
7.11
Harga
Biaya Mie Instant Goreng per 1000 g (1 kg) Biaya Kontrol Substitusi 25% Substitusi 50% Substitusi 75% Bahan Pokok Harga / kg Berat Harga Berat Harga Berat Harga Berat Harga 250 g Rp 2000,500 g Rp 4000,750 g Rp 6000,1000 g Rp 8000,Rp 8000,Tepung Terigu 750 g Rp 9000,500 g Rp 6000,250 g Rp 3000,Rp 12000,Tepung Talas 150 g Rp 1563,150 g Rp 1563,150 g Rp 1563,Rp 1563,Rp 10000,- 150 g Telur Ayam Buras Yield 30 buah (@ 30 g) 30 buah (@ 30 g) 30 buah (@ 30 g) 30 buah (@ 30 g) Harga total Rp 9563,Rp 10563,Rp 11563,Rp 12563,Harga / 30g Rp 318.77,Rp 352.1,Rp 385.43,Rp 418.77,Kemasan per cup Rp 250,Rp 250,Rp 250,Rp 250,Minyak * Rp 30,Rp 30,Rp 30,Rp 30,** Bumbu Rp 60,Rp 60,Rp 60,Rp 60,Gas *** Rp 10,Rp 10,Rp 10,Rp 10,Total biaya bahan pokok Rp 668.77,Rp 702.1,Rp 735.43,Rp 768.77,**** Fixed cost Rp 33.44,Rp 35.11,Rp 36.77,Rp 38.44,Variable cost **** Rp 33.44,Rp 35.11,Rp 36.77,Rp 38.44,HPP Rp 735.65,Rp 772.32,Rp 808.97,Rp 845.65,Keterangan: * : Minyak (vacuum fryer) 30 liter, harga minyak per liter Rp 10000,- untuk 100x penggorengan maksimal 100 produk. Sehingga 1 produk seharga Rp 30,** : Bumbu, diasumsikan seharga Rp 60,- / produk *** : Gas Rp 40000,- / 8 kg , seharga Rp 1000,-/ jam sedangkan dalam 1 jam (termasuk mengukus) dapat menggoreng 100 produk (awal, dan jumlahnya terus bertambah tiap jamnya). Sehingga tambahan biaya gas bisa dikatakan (maksimal) Rp 10,**** : Diasumsikan 5 % dari total biaya bahan pokok.
Perpustakaan Unika
Biaya Mie Instant Kering per 1000 g (1 kg) Biaya Kontrol Substitusi 25% Substitusi 50% Substitusi 75% Bahan Pokok Harga / kg Berat Harga Berat Harga Berat Harga Berat Harga 250 g Rp 2000,500 g Rp 4000,750 g Rp 6000,1000 g Rp 8000,Rp 8000,Tepung Terigu 750 g Rp 9000,500 g Rp 6000,250 g Rp 3000,Rp 12000,Tepung Talas 150 g Rp 1563,150 g Rp 1563,150 g Rp 1563,Rp 1563,Rp 10000,- 150 g Telur Ayam Buras Yield 30 buah (@ 30 g) 30 buah (@ 30 g) 30 buah (@ 30 g) 30 buah (@ 30 g) Harga total Rp 9563,Rp 10563,Rp 11563,Rp 12563,Harga / 30g Rp 318.77,Rp 352.1,Rp 385.43,Rp 418.77,Kemasan per cup Rp 250,Rp 250,Rp 250,Rp 250,Bumbu ** Rp 60,Rp 60,Rp 60,Rp 60,Gas *** Rp 10,Rp 10,Rp 10,Rp 10,Total biaya bahan pokok Rp 638.77,Rp 672.1,Rp 705.43,Rp 738.77,**** Fixed cost Rp 31.94,Rp 33.61,Rp 35.27,Rp 36.94,Variable cost **** Rp 31.94,Rp 33.61,Rp 35.27,Rp 36.94,HPP Rp 702.65,Rp 739.32,Rp 775.97,Rp 812.65,Keterangan: ** : Bumbu, diasumsikan seharga Rp 60,- / produk *** : Gas Rp 40000,- / 8 kg , seharga Rp 1000,-/ jam sedangkan dalam 1 jam (termasuk mengukus) dapat menggoreng 100 produk (awal, dan jumlahnya terus bertambah tiap jamnya). Sehingga tambahan biaya gas bisa dikatakan (maksimal) Rp 10,**** : Diasumsikan 5 % dari total biaya bahan pokok.
129 Perpustakaan Unika
7.12
Date 12/14/2080 12/14/2080 12/14/2080 12/14/2080 12/14/2080 12/14/2080 12/14/2080 12/14/2080
Hasil Uji Texture Analyzer
Sample Information MIGT A MIGT B MIGT C MIGT D MIKT A MIKT B MIKT C MIKT D
Maximum Load (N) 2.28887 2.48708 1.68496 14.0379 0.82679 0.67264 0.60318 0.68172
Maximum Deflection (mm) 1.5761 1.7605 0.0712 1.0894 5.2742 5.2574 5.2249 4.6152
Maximum Bending Stress at Maximum Load (MPa) 0.034 0.037 0.025 0.211 0.012 0.01 0.009 0.002
Maximum Bending Strain at Maximum Load 0.9424 1.0563 0.0426 0.6449 0.7904 1.2987 3.0307 14.129
Maximum Bending Stress at Maximum Deflection (MPa) 0.032 0.034 0.024 0.198 0.003 0.004 0.007 1E-04
Maximum Bending Strain at Maximum Deflection 0.9457 1.0563 0.0427 0.6536 3.1645 3.1545 3.135 69.228
Young's Modulus of Bending (kgf/cm²) 1.7394 9.3642 7.9019 450.47 1.5449 282.97 2.504 0.008
Flexural Rigidity (Nmm²) 142.2 765.5 646 36826 126.3 23133 204.7 0.652
Flexural Rigidity (Nmm²) 142.2 765.5 646 36826 36875 126.3 23133 204.7
Elastic Strength (kgf/cm²)
Resilience (J)