Embed Size (px)
Citation preview
PENGARUH CARA PENGERINGAN DAN PENAMBAHAN
KACANG HIJAU TERHADAP SIFAT WARNA DAN
TINGKAT KESUKAAN BERAS ANALOG OYEK
SKRIPSI
Oleh
INDAH PUSPITA DEWI
13031014
PROGRAM STUDI TEKNOLOGI HASIL PERTANIAN
FAKULTAS AGROINDUSTRI
UNIVERSITAS MERCU BUANA YOGYAKARTA
2017
LAMPIRAN 1. ANALISIS KIMIA BAHAN DASAR
a. Analisis Kadar Air
- Ditimbang bahan yang telah dihaluskan sebanyak 1 – 2 gram dalam
botol timbang yang telah bersih dan kering dan diketahui berat
konstannya.
- Dikeringkan dalam oven padasuhu 100 – 1050C selama 3 – 5 jam,
kemudian didinginkan dalam desikator dan ditimbang.
- Dipanaskan kembali dalam oven selama 30 menit didinginkan dalam
desikator dan ditimbang lagi.
- Perlakuan tersebut diulangi sampai tercapai berat konstan
- Pengurangan berat merupakan banyaknya air dalam bahan.
𝑘𝑎𝑑𝑎𝑟 𝑎𝑖𝑟 (%) =(𝑏𝑒𝑟𝑎𝑡 𝑏𝑜𝑡𝑜𝑙 + 𝑠𝑎𝑚𝑝𝑒𝑙) − 𝑏𝑒𝑟𝑎𝑡 𝑘𝑜𝑛𝑠𝑡𝑎𝑛
𝑏𝑒𝑟𝑎𝑡 𝑘𝑜𝑛𝑠𝑡𝑎𝑛 − 𝑏𝑒𝑟𝑎𝑡 𝑏𝑜𝑡𝑜𝑙 𝑥 100%
b. Analisis Protein (metode Kjedahl) (AOAC,1984).
- Menimbang 2-5 g sampel ke dalam labu kjedahl.c
- Menambahkan 10 g Kalium sulfat (K2SO4), 0,7 g merkuri oksida
(HgO) atau 0,5g tembaga sulfat (CuSO4.5H2O) dan 20 ml asam sulfat
pekat (H2SO4).
- Destruksi sampel dalam ruang asam dengan panas yang rendah sampai
tidak berasap lagi.
- Destruksi diteruskan dengan panas yang lebih tinggi hingga cairan
menjadi jernih. Kemudiana didinginkan
- Melarutkan destruat dengan 50 ml aquadest dan kemudian pindahkan
secara kuantitatif ke dalam alat destilasi
- Menghubungkan alat destilasi dengan penampung erlenmeyer 500 ml
yang berisi 50 ml asam borat 3 % dan beberapa tetes indikator
(campuran metil biru dan metil merah (1:2) dalam etanol 95%).
- Mendidihkan sekitar 15 menit, menambahkan natrium hidroksida 60 %
(perubahan warna jernih menjadi coklat)
- Melakukan destilasi sampai volume penampung mencapai 200 ml
- Titrasi destilat dengan asam klorida (HCl) 0,1 N.
- Mengerjakan blanko menggunakan aquadest sebagai pengganti
sampel.
Perhitungan :
Kadar Nitrogen (g/100g) = V1−V2
𝐵× 0,0014 × N
Keterangan :
V1 = jumlah ml HCl yang digunakan pada sampel
V2 = jumlah ml HCl yang digunakan pada blanko
B = berat sampel
c. Analisis lemak (Metode Soxhlet)
- Sampel dari hasil kadar air dihaluskan lalu ditimbang masing-masing
sebanyak 2 g , lalu dibungkus dengan kertas saring yang telah
diketahui beratnya. Sampel dimasukkan dalam labu soxhlet ditambah
dengan pelarut (Petroleum Eter) sampai 1/3 bagian labu lalu
diekstraksi selama 3-4 jam.
- Angkat sampel yang terlarut dalam labu dan masukkan dalam oven,
didinginkan dalam desikator, kemudian ditimbang sampai berat
konstan (Soedarmaji, 1997).
Perhitungan :
%lemak =berat lemak (g)
berat awal (g)X 100%
d. Analisis serat kasar (Metode Gravimetri)
- Sampel-sampel yang telah diekstrak lemaknya, dimasukkan ke dalam
erlenmeyer ditambah dengan anti buih serta batu didih.
- Kemudian ditambahkan H2SO4 0,25 N sebanyak 200 ml dan didihkan
selama 30 menit. Residu yang terbentuk disaring dan dicuci dengan
aquadest panas.
- Residu yang terbentuk pada kertas saring dimasukkan dalam erlen
meyer dengan menambahkan NaOH 0,25 N sebanyak 200 ml
kemudian dididihkan kembali selam 30 menit.
- Setelah itu residu disaring dengan kertas saring yang telah diketahui
beratnya.
- Residu kemudian dicuci dengan K2SO4 10% dan alkohol 95 %
- Kertas saring yang berisi residu dikeringkan dalam oven lalu di abukan
, dan ditimbang sampai berat konstan (Soedarmaji, 1997)
Perhitungan :
Berat residu = berat serat kasar
%serat kasar =berat serat kasar
berat sampelx 100%
e. Analisis karbohidrat (by different)
Carbohidrate by difference = 100% - (%air + %abu +%lemak
+%protein+%amilosa+%amilopektin) (Nielsen, 1998)
LAMPIRAN 2. HASIL UJI STATISTIK
1. Hasil uji statistik organoleptik beras analog dengan cara pengeringan
Descriptive Statistics
Dependent Variable: Bau
Jenis_Sampel Pengeringan Mean
Std.
Deviation N
Rastelo Oven 2.90 1.071 20
Matahari 3.00 1.026 20
Kabinet 3.00 1.124 20
Total 2.97 1.057 60
Rastelo + Kacang
Hijau
Oven 2.45 .759 20
Matahari 2.65 .933 20
Kabinet 2.80 1.056 20
Total 2.63 .920 60
Total Oven 2.67 .944 40
Matahari 2.83 .984 40
Kabinet 2.90 1.081 40
Total 2.80 1.001 120
Tests of Between-Subjects Effects
Dependent Variable: Bau
Source
Type III Sum
of Squares df
Mean
Square F Sig.
Corrected Model 4.700a 5 .940 .936 .461
Intercept 940.800 1 940.800 936.692 .000
Jenis_Sampel 3.333 1 3.333 3.319 .071
Pengeringan 1.050 2 .525 .523 .594
Jenis_Sampel *
Pengeringan .317 2 .158 .158 .854
Error 114.500 114 1.004
Total 1060.000 120
Corrected Total 119.200 119
ANOVA
Bau
Sum of
Squares df
Mean
Square F Sig.
Between
Groups 4.700 5 .940 .936 .461
Within Groups 114.500 114 1.004
Total 119.200 119
Bau
Duncana
Interaksi N
Subset for
alpha = 0.05
1
Rastelo++,Oven 20 2.45
Rastelo++,Matah
ari 20 2.65
Rastelo++,Kabine
t 20 2.80
Rastelo,Oven 20 2.90
Rastelo,Matahari 20 3.00
Rastelo,Kabinet 20 3.00
Sig. .133
Tests of Between-Subjects Effects
Dependent Variable: Warna
Source
Type III Sum
of Squares df
Mean
Square F Sig.
Corrected Model 15.767a 5 3.153 2.426 .040
Intercept 952.033 1 952.033 732.333 .000
Jenis_Sampel 12.033 1 12.033 9.256 .003
Pengeringan .117 2 .058 .045 .956
Jenis_Sampel *
Pengeringan 3.617 2 1.808 1.391 .253
Error 148.200 114 1.300
Total 1116.000 120
Corrected Total 163.967 119
a. R Squared = .096 (Adjusted R Squared = .057)
Warna
Duncana,b
Pengeringan N
Subset
1
Oven 40 2.78
Matahari 40 2.82
Kabinet 40 2.85
Sig. .784
Tests of Between-Subjects Effects
Dependent Variable: Tekstur
Source
Type III Sum
of Squares df
Mean
Square F Sig.
Corrected Model 15.967a 5 3.193 2.493 .035
Intercept 1216.033 1 1216.033 949.505 .000
Jenis_Sampel 12.033 1 12.033 9.396 .003
Pengeringan 3.617 2 1.808 1.412 .248
Jenis_Sampel *
Pengeringan .317 2 .158 .124 .884
Error 146.000 114 1.281
Total 1378.000 120
Corrected Total 161.967 119
Tekstur
Duncana,b
Pengeringan N
Subset
1
Oven 40 2.97
Matahari 40 3.18
Kabinet 40 3.40
Sig. .115
ANOVA
Tekstur
Sum of
Squares df
Mean
Square F Sig.
Between
Groups 15.967 5 3.193 2.493 .035
Within Groups 146.000 114 1.281
Total 161.967 119
Tekstur
Duncana
Interaksi N
Subset for alpha = 0.05
1 2 3
Rastelo++,Oven 20 2.60
Rastelo++,Matah
ari 20 2.85 2.85
Rastelo++,Kabine
t 20 3.15 3.15 3.15
Rastelo,Oven 20 3.35 3.35 3.35
Rastelo,Matahari 20 3.50 3.50
Rastelo,Kabinet 20 3.65
Sig. .057 .100 .208
Means for groups in homogeneous subsets are displayed.
a. Uses Harmonic Mean Sample Size = 20.000.
Tests of Between-Subjects Effects
Dependent Variable: Keseluruhan
Source
Type III Sum
of Squares df
Mean
Square F Sig.
Corrected Model 5.942a 5 1.188 1.157 .335
Intercept 1074.008 1 1074.008 1046.023 .000
Jenis_Sampel 3.008 1 3.008 2.930 .090
Pengeringan 2.067 2 1.033 1.006 .369
Jenis_Sampel *
Pengeringan .867 2 .433 .422 .657
Error 117.050 114 1.027
Total 1197.000 120
Corrected Total 122.992 119
a. R Squared = .048 (Adjusted R Squared = .007)
Keseluruhan
Duncana,b
Pengeringan N
Subset
1
Oven 40 2.88
Matahari 40 2.92
Kabinet 40 3.18
Sig. .216
ANOVA
Keseluruhan
Sum of
Squares df
Mean
Square F Sig.
Between
Groups 5.942 5 1.188 1.157 .335
Within Groups 117.050 114 1.027
Total 122.992 119
Keseluruhan
Duncana
Interaksi N
Subset for
alpha = 0.05
1
Rastelo++,Oven 20 2.60
Rastelo++,Matah
ari 20 2.80
Rastelo,Matahari 20 3.05
Rastelo++,Kabine
t 20 3.10
Rastelo,Oven 20 3.15
Rastelo,Kabinet 20 3.25
Sig. .078
2. Hasil uji statistik organoleptik nasi dari beras analog dengan cara
pengeringan
Tests of Between-Subjects Effects
Dependent Variable: Bau
Source
Type III Sum
of Squares df
Mean
Square F Sig.
Corrected Model 142.342a 5 28.468 17.807 .000
Intercept 1864.408 1 1864.408 1166.214 .000
Jenis_sampel 88.408 1 88.408 55.301 .000
Pengeringan 42.467 2 21.233 13.282 .000
Jenis_sampel *
Pengeringan 11.467 2 5.733 3.586 .031
Error 182.250 114 1.599
Total 2189.000 120
Corrected Total 324.592 119
a. R Squared = .439 (Adjusted R Squared = .414)
Grand Mean
Dependent Variable: Bau
Mean Std. Error
95% Confidence Interval
Lower
Bound
Upper
Bound
3.942 .115 3.713 4.170
Tests of Between-Subjects Effects
Dependent Variable: Warna
Source
Type III Sum
of Squares df
Mean
Square F Sig.
Corrected Model 5.542a 5 1.108 .686 .635
Intercept 1353.408 1 1353.408 838.297 .000
Jenis_sampel 3.008 1 3.008 1.863 .175
Pengeringan 1.267 2 .633 .392 .676
Jenis_sampel *
Pengeringan 1.267 2 .633 .392 .676
Error 184.050 114 1.614
Total 1543.000 120
Corrected Total 189.592 119
a. R Squared = .029 (Adjusted R Squared = -.013)
Warna
Duncana,b
Pengeringan N
Subset
1
Oven 40 3.23
Kabinet 40 3.37
Matahari 40 3.47
Sig. .412
ANOVA
Warna
Sum of
Squares df
Mean
Square F Sig.
Between
Groups 5.542 5 1.108 .686 .635
Within Groups 184.050 114 1.614
Total 189.592 119
Warna
Duncana
Interaksi N
Subset for
alpha = 0.05
1
Rastelo,Oven 20 3.05
Rastelo,Matahari 20 3.20
Rastelo,Kabinet 20 3.35
Rastelo++,Oven 20 3.40
Rastelo++,Kabine
t 20 3.40
Rastelo++,Matah
ari 20 3.75
Sig. .132
Tests of Between-Subjects Effects
Dependent Variable: Tekstur
Source
Type III Sum
of Squares df
Mean
Square F Sig.
Corrected Model 37.175a 5 7.435 5.339 .000
Intercept 1665.075 1 1665.075 1195.707 .000
Jenis_sampel 12.675 1 12.675 9.102 .003
Pengeringan 13.650 2 6.825 4.901 .009
Jenis_sampel *
Pengeringan 10.850 2 5.425 3.896 .023
Error 158.750 114 1.393
Total 1861.000 120
Corrected Total 195.925 119
a. R Squared = .190 (Adjusted R Squared = .154)
Tekstur
Duncana,b
Pengeringan N
Subset
1 2
Oven 40 3.25
Matahari 40 3.92
Kabinet 40 4.00
Sig. 1.000 .777
Tests of Between-Subjects Effects
Dependent Variable: Rasa
Source
Type III Sum
of Squares df
Mean
Square F Sig.
Corrected Model 24.167a 5 4.833 2.672 .025
Intercept 1657.633 1 1657.633 916.441 .000
Jenis_sampel 13.333 1 13.333 7.371 .008
Pengeringan 6.317 2 3.158 1.746 .179
Jenis_sampel *
Pengeringan 4.517 2 2.258 1.249 .291
Error 206.200 114 1.809
Total 1888.000 120
Corrected Total 230.367 119
a. R Squared = .105 (Adjusted R Squared = .066)
Rasa
Duncana,b
Pengeringan N
Subset
1
Matahari 40 3.48
Oven 40 3.65
Kabinet 40 4.03
Sig. .086
Tests of Between-Subjects Effects
Dependent Variable: Keseluruhan
Source
Type III Sum
of Squares df
Mean
Square F Sig.
Corrected Model 34.700a 5 6.940 4.737 .001
Intercept 1872.300 1 1872.300 1278.097 .000
Jenis_sampel 22.533 1 22.533 15.382 .000
Pengeringan 10.850 2 5.425 3.703 .028
Jenis_sampel *
Pengeringan 1.317 2 .658 .449 .639
Error 167.000 114 1.465
Total 2074.000 120
Corrected Total 201.700 119
a. R Squared = .172 (Adjusted R Squared = .136)
Keseluruhan
Duncana,b
Pengeringan N
Subset
1 2
Oven 40 3.73
Matahari 40 3.75
Kabinet 40 4.38
Sig. .927 1.000
ANOVA
Keseluruhan
Sum of
Squares df
Mean
Square F Sig.
Between
Groups 34.700 5 6.940 4.737 .001
Within Groups 167.000 114 1.465
Total 201.700 119
Keseluruhan
Duncana
Interaksi N
Subset for alpha =
0.05
1 2
Rastelo++,Matah
ari 20 3.35
Rastelo++,Oven 20 3.40
Rastelo++,Kabine
t 20 3.80
Rastelo,Oven 20 4.05
Rastelo,Matahari 20 4.15
Rastelo,Kabinet 20 4.95
Sig. .064 1.000
Means for groups in homogeneous subsets are
displayed.
a. Uses Harmonic Mean Sample Size = 20.000.
3. Hasil uji statistik kadar air beras analog dengan cara pengeringan
Tests of Between-Subjects Effects
Dependent Variable: Kadar_Air
Source
Type III Sum
of Squares df
Mean
Square F Sig.
Corrected Model 10.136a 5 2.027 23.826 .000
Intercept 2247.708 1 2247.708 26417.725 .000
Pengeringan 8.777 2 4.389 51.580 .000
Jenis_Sampel .025 1 .025 .288 .595
Pengeringan *
Jenis_Sampel 1.334 2 .667 7.840 .002
Error 2.552 30 .085
Total 2260.396 36
Corrected Total 12.688 35
a. R Squared = .799 (Adjusted R Squared = .765)
Kadar_Air
Duncana,b
Pengeringan N
Subset
1 2 3
Matahari 12 7.2192
Kabinet
50oC
12 8.1150
Oven 40oC 12 8.3708
Sig. 1.000 1.000 1.000
Oneway
ANOVA
Kadar_Air
Sum of
Squares df
Mean
Square F Sig.
Between
Groups 10.136 5 2.027 23.826 .000
Within Groups 2.552 30 .085
Total 12.688 35
Kadar_Air
Duncana
Interaksi N
Subset for alpha = 0.05
1 2 3 4
Rastelo Matahari 6 7.1017
Rastelo+ Matahari 6 7.3367
Rastelo+ Kabinet
50oC
6 7.8733
Rastelo Oven 40oC 6 8.1683 8.1683
Rastelo Kabinet 50oC 6 8.3567 8.3567
Rastelo+ Oven 40oC 6 8.5733
Sig. .173 .090 .272 .208
4. Hasil uji statistik warna beras analog dengan cara pengeringan
Multivariate Testsa
Effect Value F
Hypothes
is df Error df Sig.
Intercept Pillai's Trace .955 310.025b 2.000 29.000 .000
Wilks'
Lambda .045 310.025
b 2.000 29.000 .000
Hotelling's
Trace 21.381 310.025
b 2.000 29.000 .000
Roy's Largest
Root 21.381 310.025
b 2.000 29.000 .000
Pengeringan Pillai's Trace .199 1.653 4.000 60.000 .173
Wilks'
Lambda .805 1.663
b 4.000 58.000 .171
Hotelling's
Trace .238 1.669 4.000 56.000 .170
Roy's Largest
Root .220 3.295
c 2.000 30.000 .051
Jenis_Sampel Pillai's Trace .853 83.980b 2.000 29.000 .000
Wilks'
Lambda .147 83.980
b 2.000 29.000 .000
Hotelling's
Trace 5.792 83.980
b 2.000 29.000 .000
Roy's Largest
Root 5.792 83.980
b 2.000 29.000 .000
Pengeringan *
Jenis_Sampel
Pillai's Trace .389 3.625 4.000 60.000 .010
Wilks'
Lambda .612 4.040
b 4.000 58.000 .006
Hotelling's
Trace .633 4.434 4.000 56.000 .003
Roy's Largest
Root .631 9.465
c 2.000 30.000 .001
a. Design: Intercept + Pengeringan + Jenis_Sampel + Pengeringan * Jenis_Sampel
b. Exact statistic
b. The statistic is an upper bound on F that yields a lower bound on the significance level.
Tests of Between-Subjects Effects
Source
Dependent
Variable
Type III
Sum of
Squares df
Mean
Square F Sig.
Corrected Model Red 1.065a 5 .213 22.952 .000
Yellow 3.168b 5 .634 21.398 .000
Intercept Red 2.947 1 2.947 317.635 .000
Yellow 11.674 1 11.674 394.231 .000
Pengeringan Red .051 2 .025 2.725 .082
Yellow .067 2 .034 1.135 .335
Jenis_Sampel Red .902 1 .902 97.275 .000
Yellow 2.834 1 2.834 95.694 .000
Pengeringan *
Jenis_Sampel
Red .112 2 .056 6.018 .006
Yellow .267 2 .134 4.512 .019
Error Red .278 30 .009
Yellow .888 30 .030
Total Red 4.290 36
Yellow 15.730 36
Corrected Total Red 1.343 35
Yellow 4.056 35
a. R Squared = .793 (Adjusted R Squared = .758)
b. R Squared = .781 (Adjusted R Squared = .745)
Red
Duncana,b
Pengeringan N
Subset
1 2
Matahari 12 .2417
Kabinet
50oC
12 .2833 .2833
Oven 40oC 12 .3333
Sig. .298 .213
Yellow
Duncana,b
Pengeringan N
Subset
1
Matahari 12 .5083
Oven 40oC 12 .6000
Kabinet
50oC
12 .6000
Sig. .228
Oneway
ANOVA
Sum of
Squares df
Mean
Square F Sig.
Red Between
Groups 1.065 5 .213 22.952 .000
Within Groups .278 30 .009
Total 1.343 35
Yello
w
Between
Groups 3.168 5 .634 21.398 .000
Within Groups .888 30 .030
Total 4.056 35
Red
Duncana
Interaksi N
Subset for alpha = 0.05
1 2 3
Ratelo Oven 40oC 6 .1000
Rastelo Matahari 6 .1000
Ratelo Kabinet 50oC 6 .1833
Rastelo+ Matahari 6 .3833
Rastelo+ Kabinet
50oC
6 .3833
Rastelo+ Oven 40oC 6 .5667
Sig. .167 1.000 1.000
Means for groups in homogeneous subsets are displayed.
Yellow
Duncana
Interaksi N
Subset for alpha = 0.05
1 2 3
Ratelo Oven 40oC 6 .2000
Rastelo Matahari 6 .2667
Ratelo Kabinet 50oC 6 .4000
Rastelo+ Matahari 6 .7500
Rastelo+ Kabinet
50oC
6 .8000 .8000
Rastelo+ Oven 40oC 6 1.0000
Sig. .065 .618 .053
Means for groups in homogeneous subsets are displayed.
a. Uses Harmonic Mean Sample Size = 6.000.
4. Hasil uji statistik warna nasi dari beras analog dengan cara
pengeringan
Multivariate Testsa
Effect Value F
Hypothesis
df Error df Sig.
Intercept Pillai's Trace .984 887.447b 2.000 29.000 .000
Wilks' Lambda .016 887.447b 2.000 29.000 .000
Hotelling's
Trace 61.203 887.447
b 2.000 29.000 .000
Roy's Largest
Root 61.203 887.447
b 2.000 29.000 .000
Pengeringan Pillai's Trace .193 1.605 4.000 60.000 .185
Wilks' Lambda .810 1.615b 4.000 58.000 .183
Hotelling's
Trace .232 1.622 4.000 56.000 .182
Roy's Largest
Root .215 3.228
c 2.000 30.000 .054
Jenis_Sampel Pillai's Trace .887 113.800b 2.000 29.000 .000
Wilks' Lambda .113 113.800b 2.000 29.000 .000
Hotelling's
Trace 7.848 113.800
b 2.000 29.000 .000
Roy's Largest
Root 7.848 113.800
b 2.000 29.000 .000
Pengeringan *
Jenis_Sampel
Pillai's Trace .185 1.531 4.000 60.000 .205
Wilks' Lambda .821 1.503b 4.000 58.000 .213
Hotelling's
Trace .210 1.473 4.000 56.000 .223
Roy's Largest
Root .165 2.470
c 2.000 30.000 .102
c. R Squared = .757 (Adjusted R Squared = .717)
Red
Duncana,b
Pengeringan N
Subset
1
Oven 40oC 12 .6833
Matahari 12 .6917
Kabinet
50oC
12 .7250
Sig. .347
Yellow
Duncana,b
Pengeringan N
Subset
1
Kabinet
50oC
12 1.5417
Oven 40oC 12 1.6750
Matahari 12 1.9167
Sig. .065
Oneway
ANOVA
Sum of
Squares df Mean Square F Sig.
Red Between
Groups 2.177 5 .435 43.055 .000
Within Groups .303 30 .010
Total 2.480 35
Y
el
lo
w
Between Groups 19.459 5 3.892 18.720 .000
Within Groups 6.237 30 .208
Total 25.696 35
Red
Duncana
Interaksi N
Subset for alpha =
0.05
1 2
Rastelo Matahari 6 .4333
Rastelo Oven 40oC 6 .4667
Rastelo Kabinet 50oC 6 .4667
Rastelo+ Oven 40oC 6 .9000
Rastelo+ Matahari 6 .9500
Rastelo+ Kabinet
50oC
6 .9833
Sig. .594 .185
Yellow
Duncana
Interaksi N
Subset for alpha = 0.05
1 2 3
Rastelo Matahari 6 1.0000
Rastelo Oven 40oC 6 1.0167
Rastelo Kabinet
50oC 6 1.0167
Rastelo+ Kabinet
50oC 6 2.0667
Rastelo+ Oven 40oC 6 2.3333 2.3333
Rastelo+ Matahari 6 2.8333
Sig. .953 .319 .067
Lampiran 3. Hasil Uji Proksimat Bahan Dasar atau Ubi Kayu Jenis Putih
1. Kadar Air
Batch Ulangan
Botol
kosong
(g)
Botol+
Sampel
(g)
Sampel
(g)
Botol oven
konstan (g)
Sampel
akhir (g)
B1
U1 10,5173 11,5173 1,0000 10,9390 0,4217
U2 16,0212 17,0212 1,0000 16,3503 0,3291
U3 10,3779 11,5585 1,1806 10,9431 0,5652
B2
U1 12,7325 13,7693 1,0368 13,1432 0,4107
U2 11,2328 12,2438 1,0110 11,6315 0,3987
U3 12,6151 13,6555 1,0404 13,0179 0,4028
Perhitungan :
Sampel = (berat boto l+ sampel) – berat botol kosong
Sampel Akhir = berat botol oven konstan - berat botol kosong
Kadar air (%) = berat sampel − berat sampel akhir
berat sampel× 100%
Kode sampel Perhitungan Rata-rata
B1.U1 Kadar air (%) = 1,000 −0,4217
1,0000× 100% = 57,83% 59,02%
B1.U2 Kadar air (%) = 1,000 −0,3291
1,0000× 100% = 67,69%
B1.U3 Kadar air (%) = 1,1806 −0,5652
1,1806× 100% = 52,13%
B2.U1 Kadar air (%) = 1,0368 −0,4107
1,0368× 100% = 60,39% 60,75%
B2.U2 Kadar air (%) = 1,0110 −0,3987
1,0110× 100% = 60,56%
B3.U3 Kadar air (%) = 1,0404 −0,4028
1,0404× 100% = 61,28%
Rata-rata Kadar Air (% w/b) 59,88 %
2. Kadar Abu
Batch.
Ulangan
Cawan
kosong (g)
Cawan+
Sampel (g)
Sampel
(g)
Cawan oven
konstan (g)
Sampel
akhir (g)
B1.U1 20,3772 25,3788 5,0016 20,4174 0,0402
B1.U2 17,7864 22,7865 5,0001 17,8230 0,0366
B1.U3 20,9758 25,9765 5,0007 21,0128 0,0370
B2.U1 20,3772 25,3788 5,0016 20,4174 0,0402
B2.U2 17,7864 22,7865 5,0001 17,8230 0,0366
B2.U3 20,9758 25,9765 5,0007 21,0128 0,0370
Perhitungan :
Sampel = (berat cawan + sampel) – berat cawan kosong
Sampel akhir = berat cawan oven konstan – berat cawan kosng
Kadar Abu (%) = berat sampel − berat sampel akhir
berat sampel× 100%
Kode sampel Perhitungan Rata-rata
B1.U1 Kadar abu (%) = 5,0016 −0,0402
5,0016× 100% = 0,80% 0,76%
B1.U2 Kadar abu (%) = 5,0001 −0,036
5,0001× 100% = 0,73%
B1.U3 Kadar abu (%) = 5,0007 −0,0370
5,0007× 100% = 0,74%
B2.U1 Kadar abu (%) = 5,0016 −0,0402
5,0016× 100% = 0,80% 0,76%
B2.U2 Kadar abu (%) = 5,0001 −0,0366
5,0001× 100% = 0,73%
B3.U3 Kadar abu (%) = 5,0007 −0,0370
5,0007× 100% = 0,74%
Rata-rata Kadar Abu (%) 0,76 %
3. Kadar Protein
Batch.
Ulangan
Berat
sampel TIitrasi N
faktor
konversi N HCl
B1.U1 0,0584 0,56 14,008 6,25 0,02
B1.U2 0,0544 0,58 14,008 6,25 0,02
B1.U3 0,0556 0,56 14,008 6,25 0,02
B2.U1 0,0517 0,60 14,008 6,25 0,02
B2.U2 0,0502 0,52 14,008 6,25 0,02
B2.U3 0,0522 0,54 14,008 6,25 0,02
Perhitungan :
% N = v titrasi x N HCl (0,02) x 14,008
𝐵𝑒𝑟𝑎𝑡 𝑠𝑎𝑚𝑝𝑒𝑙 𝑥 1000 𝑥 100%
% Protein = %N x faktor konversi (6,25)
Kode sampel Perhitungan Rata-rata
B1.U1
%N = 0,56 x 0,2 x 14,008
0,0584 x 1000× 100% = 0,2686 %
% Protein = 0,2686 x 6,25 = 1,6790%
1,7698%
B1.U2
%N = 0,58 x 0,2 x 14,008
0,0544 x 1000× 100% = 0,2987%
% Protein = 0,2987 x 6,25 = 1,8669%
B1.U3 %N =
0,56 x 0,2 x 14,008
0,0556 x 1000× 100% = 0,2822%
% Protein = 0,2822 x 6,25 = 1,7636%
B2.U1
%N = 0,60 x 0,2 x 14,008
0,0517 x 1000× 100% = 0,3251%
% Protein = 0,3251 x 6,25 = 2,0321%
1,8858%
B2.U2 %N =
0,52 x 0,2 x 14,008
0,0502 x 1000× 100% = 0,2902%
% Protein = 0,2902 x 6,25 = 1,8138%
B3.U3 %N =
0,54 x 0,2 x 14,008
0,0522 x 1000× 100% = 1,8114%
% Protein = 0,2902 x 6,25 = 1,8114%
Rata-rata Kadar Protein (%) 1,83 %
4. Kadar Lemak
Batch.
Ulangan
Kertas
saring (g)
Kertas+
Sampel (g)
Sampel
(g)
Berat labu+
sampel
Berat labu
kosong
B1.U1 0,2280 1,2323 1,0043 33,6869 32,9368
B1.U2 0,2341 1,2372 1,0031 37,8126 37,1400
B1.U3 0,2374 1,2401 1,0027 35,9224 35,1544
B2.U1 0,2378 1,2398 1,0020 35,3929 34,7416
B2.U2 0,2288 1,2322 1,0034 35,1390 34,5992
B2.U3 0,2291 1,2321 1,0030 36,5983 35,8880
Perhitungan :
Sampel = (Berat kertas saring + sampel) – berat kertas saring
Kadar lemak = (𝐵𝑒𝑟𝑎𝑡 𝑙𝑎𝑏𝑢+𝑠𝑎𝑚𝑝𝑒𝑙)−𝑏𝑒𝑟𝑎𝑡 𝑙𝑎𝑏𝑢 𝑘𝑜𝑠𝑜𝑛𝑔
𝑏𝑒𝑟𝑎𝑡 𝑠𝑎𝑚𝑝𝑒𝑙 𝑥 100%
Kode sampel Perhitungan Rata-rata
B1.U1 Kadar lemak = 33,6869−32,9368
1,0043× 100% = 0,89% 0,85%
B1.U2 Kadar lemak = 37,8126−37,1400
1,0031× 100% = 0,79%
B1.U3 Kadar lemak = 35,9224 − 35,1544
1,0027× 100% = 0,86%
B2.U1 Kadar lemak = 35,3929− 34,7416
1,0020× 100% = 0,72% 0,73%
B2.U2 Kadar lemak = 35,1390− 34,5992
1,0034× 100% = 0,66%
B3.U3 Kadar lemak = 36,5983− 35,8880
1,0030× 100% = 0,82%
Rata-rata Kadar Lemak (%) 0,79 %
5. Kadar Pati
Batch.
Ulangan
Berat
Sampel
konsentrasi Faktor
Pengencer
B1.U1 10,0024 0,0417 125000
B1.U2 10,0024 0,0426 125000
B1.U3 10,0024 0,0421 125000
B2.U1 10,0024 0,0168 125000
B2.U2 10,0024 0,0172 125000
B2.U3 10,0024 0,0166 125000
Perhitungan :
Kadar pati = 𝑘𝑜𝑛𝑠𝑒𝑛𝑡𝑟𝑎𝑠𝑖 𝑥 𝐹𝑎𝑘𝑡𝑜𝑟 𝑃𝑒𝑛𝑔𝑒𝑛𝑐𝑒𝑟 𝑥 0,9
𝑏𝑒𝑟𝑎𝑡 𝑠𝑎𝑚𝑝𝑒𝑙 𝑥 1000 𝑥 100%
Kode sampel Perhitungan Rata-rata
B1.U1 Kadar pati = 0,0417 x 125000
10,0024 x 1000× 100% = 46,90% 47,39%
B1.U2 Kadar pati = 0,0426 x 125000
10,0024 x 1000× 100% = 47,91%
B1.U3 Kadar pati = 0,0421 x 125000
10,0024 x 1000× 100% = 47,35%
B2.U1 Kadar pati = 0,0168 x 125000
10,0024 x 1000× 100% = 18,90% 18,97%
B2.U2 Kadar pati = 0,0172 x 125000
10,0024 x 1000× 100% = 19,35%
B3.U3 Kadar pati = 0,0166 x 125000
10,0024 x 1000× 100% = 18,67%
Rata-rata Kadar Pati (%) 33,18 %
6. Gula Total
Batch.
Ulangan
Berat
Sampel konsentrasi
Faktor
Pengencer
B1.U1 10,0001 0,0245 8000
B1.U2 10,0001 0,0244 8000
B1.U3 10,0001 0,0246 8000
B2.U1 10,0001 0,0489 8000
B2.U2 10,0001 0,0491 8000
B2.U3 10,0001 0,0490 8000
Perhitungan :
Kadar gula total = 𝑘𝑜𝑛𝑠𝑒𝑛𝑡𝑟𝑎𝑠𝑖 𝑥 𝐹𝑎𝑘𝑡𝑜𝑟 𝑃𝑒𝑛𝑔𝑒𝑛𝑐𝑒𝑟
𝑏𝑒𝑟𝑎𝑡 𝑠𝑎𝑚𝑝𝑒𝑙 𝑥 1000 𝑥 100%
Kode sampel Perhitungan Rata-rata
B1.U1 Gula total = 0,0245 x 8000
10,0001 x 1000× 100% = 1,96% 1,96%
B1.U2 Gula total = 0,0244 x 8000
10,0001 x 1000× 100% = 1,95%
B1.U3 Gula total = 0,0246 x 8000
10,0001 x 1000× 100% = 1,97%
B2.U1 Gula total = 0,0489 x 8000
10,0001 x 1000× 100% = 3,91% 3,92%
B2.U2 Gula total = 0,0491 x 8000
10,0001 x 1000× 100% = 3,93%
B3.U3 Gula total = 0,0490 x 8000
10,0001 x 1000× 100% = 3,92%
Rata-rata Kadar Gula Total (%) 2,94 %
7. Amilosa
Batch.
Ulangan konsentrasi
B1.U1 0,0147
B1.U2 0,0147
B1.U3 0,0146
B2.U1 0,0162
B2.U2 0,0163
B2.U3 0,0166
Perhitungan :
Amilosa =
100
5 ×
100
1 × 𝐾𝑜𝑛𝑠𝑒𝑛𝑡𝑟𝑎𝑠𝑖
0,1 ×1000× 100%
Kode sampel Perhitungan Rata-rata
B1.U1 Amilosa = 100
5 ×
100
1 × 0,0147
0,1 ×1000× 100% = 29,40%
29,33%
B1.U2 Amilosa = 100
5 ×
100
1 × 0,0147
0,1 ×1000× 100% = 29,40%
B1.U3 Amilosa = 100
5 ×
100
1 × 0,0146
0,1 ×1000× 100% = 29,20%
B2.U1 Amilosa = 100
5 ×
100
1 × 0,0162
0,1 ×1000× 100% = 32,40%
32,73%
B2.U2 Amilosa = 100
5 ×
100
1 × 0,0163
0,1 ×1000× 100% = 32,60%
B3.U3 Amilosa = 100
5 ×
100
1 × 0,0166
0,1 ×1000× 100% = 33,20%
Rata-rata Amilosa (%) 31,03%
8. Amilopektin
Perhitungan :
Kadar Amilopektin = Kadar Pati – Kadar Amilosa
Kadar Amilopektin = 33,18 – 31,03 = 2,15%
9. Serat Kasar
Batch.
Ulangan
Berat
Kerta (g)
Berat
Sampel
(g)
Krus
kosong (g)
Berat
setelah
dioven (g)
Berat
setelah
diabu (g)
Berat residu
yang tidak
larut (g)
B1.U1 0,4090 0,8483 23,1481 23,5689 23,1538 23,1599
B1.U2 0,8339 0,8024 23,4699 24,3172 23,4772 23,4833
B1.U3 0,4371 0,8337 23,1228 23,5991 23,1568 23,1620
B2.U1 0,8189 0,8089 23,0870 23,9177 23,0969 23,0988
B2.U2 0,7495 0,7582 23,1013 23,8612 23,1061 23,1117
B2.U3 0,4942 0,8297 24,1932 24,6189 24,1192 24,1247
Perhitungan :
Berat residu yang tidak larut = Berat setelah dioven – Berat kertas
Kadar Serat Kasar = 𝐵𝑒𝑟𝑎𝑡 𝑟𝑒𝑠𝑖𝑑𝑢 𝑦𝑎𝑛𝑔 𝑡𝑖𝑑𝑎𝑘 𝑙𝑎𝑟𝑢𝑡 − 𝐵𝑒𝑟𝑎𝑡 𝑠𝑒𝑡𝑒𝑙𝑎ℎ 𝑑𝑖𝑎𝑏𝑢
𝑏𝑒𝑟𝑎𝑡 𝑠𝑎𝑚𝑝𝑒𝑙 × 100%
Kode sampel Perhitungan Rata-rata
B1.U1 Serat kasar = 23,1599−23,1538
0,8483× 100% = 0,72% 0,70%
B1.U2 Serat kasar = 23,4833−23,4772
0,8024× 100% = 0,76%
B1.U3 Serat kasar = 23,1620−23,1568
0,8337× 100% = 0,62%
B2.U1 Serat kasar = 23,0988−23,0969
0,8089× 100% = 0,23% 0,55%
B2.U2 Serat kasar = 23,1117−23,1061
0,7582× 100% = 0,74%
B3.U3 Serat kasar = 24,1247−24,1192
0,8297× 100% = 0,66%
Rata-rata Serat kasar (%) 0,62%
Lampiran . Hasil Uji Proksimat Beras Analog Oyek Tanpa Dan Dengan
Kacang Hijau
1. Kadar Air
Perhitungan :
Sampel = (berat boto l+ sampel) – berat botol kosong
Sampel Akhir = berat botol oven konstan - berat botol kosong
Kadar air (%) = berat sampel − berat sampel akhir
berat sampel× 100%
Sampel Batch.
Ulangan
Botol
kosong (g)
Botol+
Sampel (g)
Sampel
(g)
Botol oven
konstan (g)
Sampel
akhir
(g)
Kadar
air %bb
Beras
analo
oyek
2 hari
B1.U1 13,8560 14,8619 1,0059 14,7727 0,9167 8,87
B1.U2 15,6466 16,6499 1,0033 16,5576 0,9110 9,20
B1.U3 12,9648 13,9671 1,0023 13,8779 0,9131 8,90
B2.U1 13,8544 14,8551 1,0007 14,7602 0,9058 9,48
B2.U2 15,6456 16,6495 1,0039 16,5515 0,9059 9,76
B2.U3 12,9649 13,9661 1,0012 13,8549 0,8900 11,11
Beras
analog
oyek
3 hari
B1.U1 12,8629 13,8789 1,0160 13,7904 0,9275 8,71
B1.U2 15,9365 16,9372 1,0007 16,8545 0,9180 8,26
B1.U3 13,4466 14,4497 1,0031 14,3655 0,9189 8,39
B2.U1 12,8627 13,863 1,0003 13,7483 0,8856 11,47
B2.U2 15,9385 16,9393 1,0008 16,844 0,9055 9,52
B2.U3 13,4447 14,445 1,0003 14,352 0,9073 9,30
Beras
analog
oyek
4 hari
B1.U1 12,4854 13,4859 1,0005 13,3974 0,9120 8,85
B1.U2 13,8941 14,8978 1,0037 14,8101 0,9160 8,74
B1.U3 12,4034 13,4073 1,0039 13,3187 0,9153 8,83
B2.U1 12,4849 13,4856 1,0007 13,3938 0,9089 9,17
B2.U2 13,8938 14,8946 1,0008 14,7984 0,9046 9,61
B2.U3 12,4031 13,4033 1,0002 13,309 0,9059 9,43
Beras
analog
oyek
5 hari
B1.U1 15,8188 16,8197 1,0009 16,7369 0,9181 8,27
B1.U2 12,358 13,3596 1,0016 13,2754 0,9174 8,41
B1.U3 17,2327 18,2329 1,0002 18,1422 0,9095 9,07
B2.U1 15,8175 16,8177 1,0002 16,7243 0,9068 9,34
B2.U2 12,3575 13,358 1,0005 13,263 0,9055 9,50
B2.U3 17,232 18,2324 1,0004 18,136 0,9040 9,64
Beras
analog
oyek kc.
Hijau
2 hari
B1.U1 11,0626 12,0635 1,0009 11,9693 0,9067 9,41
B1.U2 11,6089 12,6163 1,0074 12,5203 0,9114 9,53
B1.U3 11,5180 12,5286 1,0106 12,4325 0,9145 9,51
B2.U1 11,0624 12,0653 1,0029 11,9678 0,9054 9,72
B2.U2 11,6091 12,6098 1,0007 12,512 0,9029 9,77
B2.U3 11,5175 12,5188 1,0013 12,4205 0,9030 9,82
Beras
analog
oyek kc.
Hijau
3 hari
B1.U1 12,8609 13,8683 1,0074 13,7768 0,9159 9,08
B1.U2 13,5745 14,5763 1,0018 14,4853 0,9108 9,08
B1.U3 13,4466 14,4497 1,0031 14,3655 0,9189 8,39
B2.U1 12,8595 13,8597 1,0002 13,7648 0,9053 9,49
B2.U2 13,5745 14,5752 1,0007 14,4800 0,9055 9,51
B2.U3 12,1149 13,115 1,0001 13,0172 0,9023 9,78
Beras
analog
oyek kc.
Hijau
4 hari
B1.U1 11,6064 12,609 1,0026 12,5204 0,9140 8,84
B1.U2 14,153 15,1545 1,0015 15,0632 0,9102 9,12
B1.U3 13,5844 14,585 1,0006 14,4933 0,9089 9,16
B2.U1 11,6062 12,6069 1,0007 12,5167 0,9105 9,01
B2.U2 14,1497 15,1503 1,0006 15,0616 0,9119 8,86
B2.U3 13,5829 14,583 1,0001 14,4932 0,9103 8,98
Beras
analog
oyek kc.
Hijau
5 hari
B1.U1 12,3957 13,3986 1,0029 13,3031 0,9074 9,52
B1.U2 10,8335 11,8351 1,0016 11,7437 0,9102 9,13
B1.U3 15,7565 16,7586 1,0021 16,6672 0,9107 9,12
B2.U1 12,0331 13,0331 1,0000 12,9433 0,9102 8,98
B2.U2 10,8332 11,8334 1,0002 11,7385 0,9053 9,49
B2.U3 15,7562 16,757 1,0008 16,6616 0,9054 9,53
LAMPIRAN 4. DOKUMEN PENELITIAN
