LAMPIRAN A STANDARISASI SIMPLISIA HASIL PERHITUNGAN SUSUT PENGERINGAN SERBUK Hasil susut pengeringan daun alpukat



84 LAMPIRAN A STANDARISASI SIMPLISIA

HASIL PERHITUNGAN SUSUT PENGERINGAN SERBUK

Replikasi Hasil susut

pengeringan daun alpukat Hasil susut pengeringan daun belimbing manis 1 5,30 % 6,60% 2 5,20 % 6,80% 3 5,10 % 6,40%

Rata-rata daun alpukat :

5

,

20

%

3

%

5,10

%

5,20

%

5,30

=

+

+

Rata-rata daun belimbing manis :

6,60

%

3

%

6,40

%

6,80

%

6,60

=

+

+

HASIL PERHITUNGAN PENETAPAN KADAR ABU DAUN ALPUKAT No W (krus kosong) (gram) W (bahan) (gram) W (krus + abu) (gram) % Kadar Abu Rerata 1 20,0074 2,0458 20,0885 7,17 7,22% 2 20,0063 2,0438 20,0875 7,20 3 20,0090 2,0423 20,0897 7,23 I. Kadar abu :

100

%

serbuk

berat

kosong

kurs

berat

-serbuk)

kurs

(berat

X

+

:

2,0458

20,0074

20,0885

−

x 100 % = 7,17 %

II. Kadar abu :

100

%

serbuk

berat

kosong

kurs

berat

-serbuk)

kurs

(berat

X

+

:

2,0438

20,0063

20,0875−

x 100 % = 7,20 %



85

III Kadar abu :

100

%

serbuk

berat

kosong

kurs

berat

-serbuk)

kurs

(berat

X

+

:

2,0423

20,0090

20,0897

−

x 100 % = 7,23 %

Rata-rata kadar abu =

3

%

7,23

%

7,20

%

7,17

+

+

= 3,96 %

HASIL PERHITUNGAN PENETAPAN KADAR ABU DAUN BELIMBING MANIS No W (krus kosong) (gram) W (bahan) (gram) W (krus + abu) (gram) % Kadar Abu Rerata 1 20,0074 2,0458 20,0885 7,23 7,22 % 2 20,0063 2,0438 20,0875 7,20 3 20,0070 2,0040 20,1507 7,17 I. Kadar abu :

100

%

serbuk

berat

kosong

kurs

berat

-serbuk)

kurs

(berat

X

+

:

2,0060

20,0074

20,1525−

x 100 % = 7,23 %

II. Kadar abu :

100

%

serbuk

berat

kosong

kurs

berat

-serbuk)

kurs

(berat

X

+

:

2,0022

20,0081

20,1522

−

x 100 % = 7,20 %

III Kadar abu :

100

%

serbuk

berat

kosong

kurs

berat

-serbuk)

kurs

(berat

X

+

:

2,0040

20,0070

20,1507

−

x 100 % = 7,17 %

Rata-rata kadar abu =

3

%

7,17

%

7,20

%

23

,

7

+

+

= 7,22 %



86

HASIL PERHITUNGAN RANDEMEN EKSTRAK Daun alpukat Daun belimbing manis

%

100

serbuk

berat

kental

ekstrak

berat

X

%

100

serbuk

berat

kental

ekstrak

berat

X

0043 , 300 2236 , 187 _{x 100 %= 62,40 %}

0058

,

300

2521

,

119

x 100 %= 39,74 %

HASIL PERHITUNGAN KADAR SARI LARUT ETANOL DAUN ALPUKAT No Berat cawan +ekstrak setelah diuapkan Berat cawan

kosong Berat ekstrak

1 69,1472 68,4391 5,0033

2 69,5139 68,5683 5,0098

3 68,3580 67,5876 5,1311

I Kadar sari larut etanol =

%

100

ekstrak

berat

kosong)

cawan

(berat

-ekstrak)

cawan

(berat

X

+

=

0033

,

5

4391

,

68

1472

,

69

−

_{x 100 % = 14,15 %} II Kadar sari larut etanol =

%

100

ekstrak

berat

kosong)

cawan

(berat

-ekstrak)

cawan

(berat

X

+



87 = 0018 , 5 683 , 68 5139 , 69 − _{x 100 % = 18,88 %} III Kadar sari larut etanol =

%

100

ekstrak

berat

kosong)

cawan

(berat

-ekstrak)

cawan

(berat

X

+

=

1311

,

5

5876

,

67

3580

,

68

−

x 100 % = 15,01 %

Rata-rata kadar sari larut etanol =

3

%

01

,

15

%

88

,

18

%

15

,

14

+

+

= 16,01 %

HASIL PERHITUNGAN KADAR SARI LARUT ETANOL BELIMBING MANIS No Berat cawan +ekstrak setelah diuapkan Berat cawan

kosong Berat ekstrak

1 67,7910 66,9725 5,2366

2 67,9444 67,1617 5,1326

3 70,0808 69,2513 5,2502

I Kadar sari larut etanol =

%

100

ekstrak

berat

kosong)

cawan

(berat

-ekstrak)

cawan

(berat

X

+

=

2366

,

5

9725

,

66

7910

,

67

−

x 100 % = 15,63 %

II Kadar sari larut etanol =

%

100

ekstrak

berat

kosong)

cawan

(berat

-ekstrak)

cawan

(berat

X

+

=

1326

,

5

1617

,

67

9444

,

67

−

x 100 % = 15,25%



88 III Kadar sari larut etanol =

%

100

ekstrak

berat

kosong)

cawan

(berat

-ekstrak)

cawan

(berat

X

+

=

2502

,

5

2513

,

69

0808

,

70

−

x 100 % = 15,80 %

Rata-rata kadar sari larut etanol =

3

%

80

,

15

%

25

,

15

%

63

,

15

+

+

= 15,56



89 LAMPIRAN B

RANGKUMAN RUMUS ANAVA

Rumus anava rambang lugas digunakan untuk beda antar perlakuan yang lebih dari 2, dimana tiap kelompok dihitung dengan harga n, x, ∑x, ∑x2

, kemudian dihitung nilai=

N = jumlah subyek seluruhnya = n1+n2+ n3+ n4+n5 J = Ji = Jumlah data total = ∑x1+∑x2+∑x3+∑x4+∑x5 ∑Y2_{ij = Jumlah kuadrat data total = ∑x}

12+∑x22+∑x32+∑x42+∑x52 J2i = jumlah kuadrat dari J = Ji = (∑x1+∑x2+∑x3+∑x4+∑x5)2 JKT = jumlah kuadrat total = ∑Y2ij - ∑J2 / N

JKPy = jumlah kuadrat perlakuan = ∑J2_{i - ∑J}2 / N JKEy = jumlah kuadrat dalam = JKT- JKPy dbT = derajat bebas total = N – 1

dbPy = derajat bebas perlakuan = a – 1 dbEy = derajat bebas dalam = dbT-dbPy

RJKPy = rataan jumlah kuadrat perlakuan = JKPy/dbPy RJKEy = rataan jumlah kuadrat dalam = JKEy/ dbEy Fhitung = RJKPy/RJKEy

Ket : N = jumlah subyek dalam perlakuan a = jumlah perlakuan

Dari hasil pengolahan data tersebut akan diperolah harga F hitung yang kemudian akan dibandingkan dengan harga F tabel.

Kriteria pengujian :

• Bila F hitung < F tabel , maka terdapat perbedaan yang tidak bermakna

• Bila F hitung > Ftabel, meka terdapat perbedaan yang bermakna Untuk mengetahui adanya perbedaan efek perlakuan antar pasangan kelompok perlakuan terhadap kadar glukosa darah, maka dilakukan uji HSD 5 % dan 1 % HSD 5 % =

_⎟

⎠

⎞

⎜

⎝

⎛

₊

nB

nA

RJK

dk

db

P

q

1

1

2

)

/

,

;

05

,

0

(

HSD 1 % = _⎟ ⎠ ⎞ ⎜ ⎝ ⎛ ₊ nB nA RJK dk db P q 1 1 2 ) / , ; 01 , 0 (



90 L A M P IRAN C PE RHI T UN G AN ANA VA KADAR GL UKOSA DA RA H PUASA T IKU S PUT IH P ADA B E RB AGAI WAK T U PE N G AM AT AN

Perhi

tung

an Anav

a

K

ada

r

Gluk

osa Dara

h Puas

a

T

ik

u

s Putih

(0 m

eni

t)

Descr ip tiv es N Me a n St d. Devi ati o n St d. E rror 95% Confidence I n terval for M ean Mi n im u m Max im u m L o w er B o und Upper B o und ko nt ro l t 0 5 70.80 00 2.774 89 1.240 97 67.35 45 74.24 55 68.00 75.00 75 : 25 t 0 5 70.00 00 7.000 00 3.130 50 61.30 84 78.69 16 61.00 78.00 50 : 50 t 0 5 71.40 00 6.804 41 3.043 02 62.95 12 79.84 88 64.00 79.00 25 : 75 t 0 5 69.80 00 5.805 17 2.596 15 62.59 19 77.00 81 63.00 76.00 pem b an di ng t 0 5 69.60 00 1.140 18 .5099 0 68.18 43 71.01 57 68.00 71.00 To ta l 25 70.32 00 4.845 27 .9690 5 68.32 00 72.32 00 61.00 79.00 Model Fix ed Eff ect s 5.253 57 1.050 71 68.12 82 72.51 18 Ra nd o m E ffe c ts 1.050 71 a 67.40 28 a 73.23 72 a a. Warn in g : Bet w ee n-co m ponen t v aria n ce is n eg ativ e. It w as replaced by 0.0 in co m p u ti n g th is ran d o m e ff ects m eas u re.



91 Dar i h asil anova o n e w a y m eng gun ak an ban tu an k o m put er prog ra m S P S S 16.0 di at as dapa t di k et ahu i F h itun g < F t abel , m ak a Ho di te rim a dan Ha di to la k , deng an de mi k an ti dak t erdapat perbedaa n ber m ak n a a n ta r k el o m pok p er la kua n d enga n ke lo m p o k c o nt ro l d an d ist ri b u si sa m p el h o m o g en . ANOVA Su m o f Sq uar es df Mean Squ are F Sig. Betw ee n Grou ps 11.44 0 4 2.860 .104 .980 W ith in Gr o u p s 552.0 0 0 20 27.60 0 To ta l 563.4 4 0 24



92 Perh it u ng a n A n a v a Kadar Gl uk os a Darah T ik u s Pu ti h (30 m en it ) Descr ip tiv es N Me a n St d. Devi ati o n St d. Erro r 95% Confidence I n terval for M ean Mi n im u m Max im u m L o w er B o und Upper B o und ko nt ro l t 3 0 5 121.4 000 8.734 99 3.906 40 110.5 541 132.2 459 108.0 0 132.0 0 75 : 25 t 30 5 115.8 000 8.105 55 3.624 91 105.7 356 125.8 644 106.0 0 124.0 0 50 : 50 t 30 5 115.2 000 7.293 83 3.261 90 106.1 435 124.2 565 107.0 0 123.0 0 25 : 75 t 30 5 116.6 000 9.939 82 4.445 22 104.2 581 128.9 419 101.0 0 127.0 0 pem b an di ng t 30 5 90.20 00 3.114 48 1.392 84 86.33 29 94.06 71 87.00 95.00 To ta l 25 111.8 400 13.32 504 2.665 01 106.3 397 117.3 403 87.00 132.0 0 Model Fix ed Eff ect s 7.793 59 1.558 72 108.5 886 115.0 914 Ra nd o m E ffe c ts 5.519 57 96.51 52 127.1 648



93 ANOVA Su m o f Sq uar es df Mean Squ are F Sig. Betw ee n Grou ps 3046. 560 4 761.6 4 0 12.53 9 .000 W ith in Gr o u p s 1214. 800 20 60.74 0 To ta l 4261. 360 24



94 Perh it u ng an A n av a Kadar Gl uk os a Darah T ik u s Pu ti h (60 m en it ) Des cri pt iv es N Me a n St d. Devi ati o n Std. E rror 95% Confidence I n terval for M ean Mi n im u m Max im u m L o w er B o und Upper Bo und ko nt ro l t 6 0 5 111.0 000 9.797 96 4.381 78 98.83 42 123.1 658 101.0 0 125.0 0 75 : 25 t 60 5 90.80 00 6.685 81 2.989 98 82.49 85 99.10 15 81.00 98.00 50 : 50 t 60 5 94.40 00 18.43 366 8.243 79 71.51 16 117.2 884 68.00 113.0 0 25 : 75 t 60 5 102.2 000 9.444 58 4.223 74 90.47 30 113.9 270 92.00 114.0 0 pem b an di ng t 60 5 79.40 00 3.911 52 1.749 29 74.54 32 84.25 68 75.00 84.00 To ta l 25 95.56 00 14.68 866 2.937 73 89.49 68 101.6 232 68.00 125.0 0 Mode l Fix ed Eff ect s 10.81 665 2.163 33 91.04 74 100.0 726 Ra nd o m E ffe c ts 5.327 44 80.76 87 110.3 513



95 ANOVA Su m o f Sq uar es df Mean Squ are F Sig. Betw ee n Grou ps 2838. 160 4 709.5 4 0 6.064 .002 W ith in Gr o u p s 2340. 000 20 117.0 0 0 To ta l 5178. 160 24



96 Perh it u ng an A n av a Kadar Gl uk os a Darah T ik u s Pu ti h (120 m eni t) Descr ip tiv es N Mean Std . Dev iatio n Std . Error 95% C o n fide n ce In ter v al f o r Mean Min im u m Max im u m Lo we r B o und Upper B o u n d k on trol t 120 5 98.60 00 3.209 36 1.435 27 94.61 51 102.5 849 94.00 102.0 0 75 : 25 t 120 5 81.60 00 9.889 39 4.422 67 69.32 07 93.87 93 67.00 93.00 50 : 50 t 120 5 87.80 00 17.21 046 7.696 75 66.43 04 109.1 696 64.00 108.0 0 25 : 75 t 120 5 86.00 00 7.106 34 3.178 05 77.17 63 94.82 37 80.00 96.00 pem b an di ng t 120 5 67.20 00 2.774 89 1.240 97 63.75 45 70.64 55 64.00 71.00 To ta l 25 84.24 00 13.61 151 2.722 30 78.62 14 89.85 86 64.00 108.0 0 M odel Fix ed Eff ect s 9.617 69 1.923 54 80.22 76 88.25 24



97 ANOVA Su m o f Sq uar es df Mean Squ are F Sig. Betw ee n Grou ps 2596. 560 4 649.1 4 0 7.018 .001 W ith in Gr o u p s 1850. 000 20 92.50 0 To ta l 4446. 560 24



98 Perh it u ng an A n av a Kadar Gl uk os a Darah T ik u s Pu ti h (180 m eni t) Descr ip tiv es N Me a n St d. Devi ati o n St d. E rror 95% Confidence I n terval for M ean Mi n im u m Max im u m L o w er B o und Upper B o und k on trol t 180 5 84.60 00 7.987 49 3.572 11 74.68 22 94.51 78 74.00 94.00 75 : 25 t 180 5 72.60 00 12.81 796 5.732 36 56.68 44 88.51 56 51.00 84.00 50 : 50 t 180 5 80.00 00 17.88 854 8.000 00 57.78 84 102.2 116 54.00 102.0 0 25 : 75 t 180 5 80.00 00 6.745 37 3.016 62 71.62 45 88.37 55 76.00 92.00 pem b an di ng t 180 5 60.80 00 2.167 95 .9695 4 58.10 81 63.49 19 58.00 63.00 To ta l 25 75.60 00 13.12 123 2.624 25 70.18 38 81.01 62 51.00 102.0 0 Model Fix ed Eff ect s 10.93 892 2.187 78 71.03 64 80.16 36 Ra nd o m E ffe c ts 4.169 89 64.02 25 87.17 75



99 ANOVA Su m o f Sq uar es df Mean Squ are F Sig. Betw ee n Grou ps 1738. 800 4 434.7 0 0 3.633 .022 W ith in Gr o u p s 2393. 200 20 119.6 6 0 To ta l 4132. 000 24 Dar i h asil anova one w a y m eng gun ak an ban tu an k o m p u ter p rog ra m S P S S 17.0 di at as dapa t di k et ahu i F h itun g > F tab el, m ak a Ho d ito lak d an Ha d iter im a, d en g an d em ik

ian ada perbedaan

berm a k na an tar k elo m pok perlaku a n d enga n ke lo m p o k ko nt ro l, m a ka d il anj ut ka n d e nga n uj i H S D 5 % unt u k m el iha t d i ma na l et ak p er b ed aa n b er m a k na t ia p ŬĞ ůŽŵ ƉŽŬ͘ 



100 L A M P IRAN D PE RHI T UN G AN UJI HSD PADA B E RB AG A I WAK T U PE N G AM AT AN P er h it un ga n uj i H S D p ad a me ni t ke 3 0 Mu ltip le Co m p ar iso n s (I ) p erl ak u a n (J) p erl ak u a n Me a n Difference (I -J) St d. Erro r Sig . 95% Confidence I n terval Lo w er B o und Upper B o und ko ntr o l t 3 0 75 : 25 t 30 5.600 00 4.929 10 .786 -9 .1497 20.34 97 50 : 50 t 30 6.200 00 4.929 10 .719 -8 .5497 20.94 97 25 : 75 t 30 4.800 00 4.929 10 .864 -9 .9497 19.54 97 pem b an di ng t 30 31.20 000 * 4.929 10 .000 16.45 03 45.94 97 75 : 25 t 30 ko nt ro l t 3 0 -5.60000 4.929 10 .786 -20.3497 9.149 7 50 : 50 t 30 .6000 0 4.929 10 1.000 -14.1497 15.34 97 25 : 75 t 30 -. 80000 4.929 10 1.000 -15.5497 13.94 97 pem b an di ng t 30 25.60 000 * 4.929 10 .000 10.85 03 40.34 97



101 50 : 50 t 30 ko nt ro l t 3 0 -6.20000 4.929 10 .719 -20.9497 8.549 7 75 : 25 t 30 -. 60000 4.929 10 1.000 -15.3497 14.14 97 25 : 75 t 30 -1.40000 4.929 10 .998 -16.1497 13.34 97 pem b an di ng t 30 25.00 000 * 4.929 10 .001 10.25 03 39.74 97 25 : 75 t 30 ko nt ro l t 3 0 -4.80000 4.929 10 .864 -19.5497 9.949 7 75 : 25 t 30 .8000 0 4.929 10 1.000 -13.9497 15.54 97 50 : 50 t 30 1.400 00 4.929 10 .998 -13.3497 16.14 97 pem b an di ng t 30 26.40 000 * 4.929 10 .000 11.65 03 41.14 97 pem b an di ng t 30 ko nt ro l t 3 0 -31.2000 0 * 4.929 10 .000 -45.9497 -16.4503 75 : 25 t 30 -25.6000 0 * 4.929 10 .000 -40.3497 -10.8503 50 : 50 t 30 -25.0000 0 * 4.929 10 .001 -39.7497 -10.2503 25 : 75 t 30 -26.4000 0 * 4.929 10 .000 -41.1497 -11.6503 * . T h e m ean di ff ere n ce is s ignif ica n t at t h e 0.05 lev el.



102 Perh it u ng an u ji HS D pada m en it k e 60 Mu ltip le Co m p ar iso n s (I ) p erl ak u a n (J) p erl ak u a n Me a n Difference (I -J) St d. Erro r Sig . 95% Confidence I n terval Lo w er B o und Upper B o und ko ntr o l t 6 0 75 : 25 t 60 20.20 000 6.841 05 .054 -. 2710 40.67 10 50 : 50 t 60 16.60 000 6.841 05 .149 -3 .8710 37.07 10 25 : 75 t 60 8.800 00 6.841 05 .702 -11.6710 29.27 10 pem b an di ng t 60 31.60 000 * 6.841 05 .001 11.12 90 52.07 10 75 : 25 t 60 ko nt ro l t 6 0 -20.2000 0 6.841 05 .054 -40.6710 .2710 50 : 50 t 60 -3.60000 6.841 05 .984 -24.0710 16.87 10 25 : 75 t 60 -11.4000 0 6.841 05 .475 -31.8710 9.071 0 pem b an di ng t 60 11.40 000 6.841 05 .475 -9 .0710 31.87 10 50 : 50 t 60 ko nt ro l t 6 0 -16.6000 0 6.841 05 .149 -37.0710 3.871 0 75 : 25 t 60 3.600 00 6.841 05 .984 -16.8710 24.07 10



103 25 : 75 t 60 -7.80000 6.841 05 .784 -28.2710 12.67 10 pem b an di ng t 60 15.00 000 6.841 05 .223 -5 .4710 35.47 10 25 : 75 t 60 ko nt ro l t 6 0 -8.80000 6.841 05 .702 -29.2710 11.67 10 75 : 25 t 60 11.40 000 6.841 05 .475 -9 .0710 31.87 10 50 : 50 t 60 7.800 00 6.841 05 .784 -12.6710 28.27 10 pem b an di ng t 60 22.80 000 * 6.841 05 .024 2.329 0 43.27 10 pem b an di ng t 60 ko nt ro l t 6 0 -31.6000 0 * 6.841 05 .001 -52.0710 -11.1290 75 : 25 t 60 -11.4000 0 6.841 05 .475 -31.8710 9.071 0 50 : 50 t 60 -15.0000 0 6.841 05 .223 -35.4710 5.471 0 25 : 75 t 60 -22.8000 0 * 6.841 05 .024 -43.2710 -2 .3290 * . T h e m ean di ff ere n ce is s ignif ica n t at t h e 0.05 lev el.



104 Perh it u ng a n u ji HS D pada m e n it k e 120 Mu ltip le Co m p ar iso n s (I) perl ak u an (J) perl ak u an Mean Di ff ere n ce (I-J) S td. Error Sig. 95% C o n fide n ce In ter v al Lo we r B o und Upper B o u n d k on trol t 120 75 : 25 t 120 17.00 000 * 6.082 76 .011 4.311 6 29.68 84 50 : 50 t 120 10.80 000 6.082 76 .091 -1 .8884 23.48 84 25 : 75 t 120 12.60 000 6.082 76 .051 -. 0884 25.28 84 pem b an di ng t 120 31.40 000 * 6.082 76 .000 18.71 16 44.08 84 75 : 25 t 120 k on trol t 120 -17.0000 0 * 6.082 76 .011 -29.6884 -4 .3116 50 : 50 t 120 -6.20000 6.082 76 .320 -18.8884 6.488 4 25 : 75 t 120 -4.40000 6.082 76 .478 -17.0884 8.288 4 pem b an di ng t 120 14.40 000 * 6.082 76 .028 1.711 6 27.08 84 50 : 50 t 120 k on trol t 120 -10.8000 0 6.082 76 .091 -23.4884 1.888 4 75 : 25 t 120 6.200 00 6.082 76 .320 -6 .4884 18.88 84



105 25 : 75 t 120 1.800 00 6.082 76 .770 -10.8884 14.48 84 pem b an di ng t 120 20.60 000 * 6.082 76 .003 7.911 6 33.28 84 25 : 75 t 120 k on trol t 120 -12.6000 0 6.082 76 .051 -25.2884 .0884 75 : 25 t 120 4.400 00 6.082 76 .478 -8 .2884 17.08 84 50 : 50 t 120 -1.80000 6.082 76 .770 -14.4884 10.88 84 pem b an di ng t 120 18.80 000 * 6.082 76 .006 6.111 6 31.48 84 pem b an di ng t 120 k on trol t 120 -31.4000 0 * 6.082 76 .000 -44.0884 -18.7116 75 : 25 t 120 -14.4000 0 * 6.082 76 .028 -27.0884 -1 .7116 50 : 50 t 120 -20.6000 0 * 6.082 76 .003 -33.2884 -7 .9116 25 : 75 t 120 -18.8000 0 * 6.082 76 .006 -31.4884 -6 .1116 * . T h e m ean di ff ere n ce is s ignif ica n t at t h e 0.05 lev el.



106 Perh it u ng a n u ji HS D pada m e n it k e 180 Mu ltip le Co m p ar iso n s (I) perl ak u an (J) perl ak u an Mean Di ff ere n ce (I-J) S td. Error Sig. 95% C o n fide n ce In ter v al Lo we r B o und Upper B o u n d k on trol t 180 75 : 25 t 180 12.00 000 6.918 38 .437 -8 .7024 32.70 24 50 : 50 t 180 4.600 00 6.918 38 .962 -16.1024 25.30 24 25 : 75 t 180 4.600 00 6.918 38 .962 -16.1024 25.30 24 pem b an di ng t 180 23.80 000 * 6.918 38 .019 3.097 6 44.50 24 75 : 25 t 180 k on trol t 180 -12.0000 0 6.918 38 .437 -32.7024 8.702 4 50 : 50 t 180 -7.40000 6.918 38 .820 -28.1024 13.30 24 25 : 75 t 180 -7.40000 6.918 38 .820 -28.1024 13.30 24 pem b an di ng t 180 11.80 000 6.918 38 .453 -8 .9024 32.50 24 50 : 50 t 180 k on trol t 180 -4.60000 6.918 38 .962 -25.3024 16.10 24 75 : 25 t 180 7.400 00 6.918 38 .820 -13.3024 28.10 24 25 : 75 t 180 .0000 0 6.918 38 1.000 -20.7024 20.70 24



107 pem b an di ng t 180 19.20 000 6.918 38 .077 -1 .5024 39.90 24 25 : 75 t 180 k on trol t 180 -4.60000 6.918 38 .962 -25.3024 16.10 24 75 : 25 t 180 7.400 00 6.918 38 .820 -13.3024 28.10 24 50 : 50 t 180 .0000 0 6.918 38 1.000 -20.7024 20.70 24 pem b an di ng t 180 19.20 000 6.918 38 .077 -1 .5024 39.90 24 pem b an di ng t 180 k on trol t 180 -23.8000 0 * 6.918 38 .019 -44.5024 -3 .0976 75 : 25 t 180 -11.8000 0 6.918 38 .453 -32.5024 8.902 4 50 : 50 t 180 -19.2000 0 6.918 38 .077 -39.9024 1.502 4 25 : 75 t 180 -19.2000 0 6.918 38 .077 -39.9024 1.502 4 * . T h e m ean di ff ere n ce is s ignif ica n t at t h e 0.05 lev el.



108 LAMPIRAN E



109 LAMPIRAN F TABEL UJI HSD (0,05)



110 LAMPIRAN G



111 LAMPIRAN H TABEL KORELASI (r)



112 LAMPIRAN I



113 LAMPIRAN J

SURAT DETERMINASI TANAMAN ALPUKAT



114



115 LAMPIRAN L

DATA QUALITY CONTROL

Nilai yang tertera pada tabel standart serum control untuk glucose adalah 82,8-1414 mg/dL(590009983061)

Data ke- Hasil Interpretasi

1 97 Memenuhi Syarat

2 98 Memenuhi Syarat

3 97 Memenuhi Syarat

Rata-rata 97,33 Memenuhi Syarat SD 97±0,47 Memenuhi Syarat