Kekasaran Permukaan Lempeng Resin Akrilik Polimerisasi Panas Setelah Direndam Dalam Larutan Pembersih Gigi Tiruan Sodium Hipoklorit 0,5%

43

Lampiran 1. Skema Alur Penelitian
KEKASARAN PERMUKAAN LEMPENG RESIN AKRILIK
POLIMERISASI PANAS SETELAH DIRENDAM DALAM
LARUTAN PEMBERSIH GIGI TIRUAN
SODIUM HIPOKLORIT 0,5%
Master cast ukuran 12 x 12 x 3 mm

Deflasking

Proses curing

Polishing

Sampel

Flasking
Molding

Pengukuran kekasaran

permukaan sebelum
d

(k

l)

Sampel direndam ke dalam

Sampel diangkat dan

Sampel direndam ke dalam

larutan sodium hipoklorit

dikeringkan, lalu

larutan sodium hipoklorit

0 5% selama 10 menit

diuji kekasarannya

0 5% selama 10 menit

Sampel diangkat dan

Sampel direndam ke dalam

Sampel diangkat dan

dikeringkan, lalu

larutan sodium hipoklorit

dikeringkan, lalu

diuji kekasarannya

0 5% selama 10 menit

diuji kekasarannya

Sampel direndam ke dalam

Sampel diangkat dan

Sampel direndam ke dalam

larutan sodium hipoklorit

dikeringkan, lalu

larutan sodium hipoklorit

0 5% selama 10 menit

diuji kekasarannya

0 5% selama 10 menit

Sampel diangkat dan

Sampel direndam ke dalam

Sampel diangkat dan

dikeringkan, lalu

larutan sodium hipoklorit

dikeringkan, lalu

diuji kekasarannya

0 5% selama 10 menit

diuji kekasarannya

Hasil (berupa data)

Sampel diangkat dan

Sampel direndam ke dalam

dikeringkan, lalu

larutan sodium hipoklorit

diuji kekasarannya

0 5% selama 10 menit

Uji Statistik
Kesimpulan

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Lampiran 2. Hasil Analisis Deskriptif Perubahan Kekasaran Resin
Akrilik Polimersisasi Panas Yang Berbeda Pada Setiap
10 Menit
Descriptive Statistics
Mean

Std. Deviation

N

Sebelum

.1647

.01841

10

10 menit

.1933

.03018

10

20 menit

.2117

.02825

10

30 menit

.2313

.02256

10

40 menit

.2423

.02876

10

50 menit

.2563

.02687

10

60 menit

.2990

.04792

10

70 menit

.3417

.06360

10

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Lampiran 3. Hasil Analisis Deskriptif Selisih Perubahan Kekasaran Resin
Akrilik Polimersisasi Panas Yang Berbeda Pada Setiap 10

Menit
Descriptive Statistics
N

Minimum Maximum

Mean

Std. Deviation

selisih1

10

.01

.05

.0287

.01492

selisih2

10

.01

.04

.0183

.01168

selisih3

10

.00

.06

.0197

.01644

selisih4

10

.01

.04

.0110

.00917

selisih5

10

.00

.03

.0140

.00843

selisih6

10

.01

.10

.0427

.03391

selisih7

10

.02

.21

.0427

.06030

Valid N (listwise)

10

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Lampiran 4. Tes Normalitas
Tests of Normality
Kolmogorov-Smirnova
Statistic
Sebelum
10 menit
20 menit

df

.132
.171
.170

Shapiro-Wilk

Sig.

Statistic

df

Sig.

10

.200*

.987

10

.992

10

*

.933

10

.482

*

.914

10

.307

*

10

.200
.200

30 menit

.158

10

.200

.949

10

.658

40 menit

.209

10

.200*

.914

10

.306

10

*

.957

10

.746

*

.895

10

.194

*

.851

10

.059

50 menit
60 menit
70 menit

.197
.174
.209

10
10

.200
.200
.200

a. Lilliefors Significance Correction
*. This is a lower bound of the true significance.

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Lampiran 5. Anova Multivariate Tests

b

Multivariate Tests
Effect
waktu

Value

F

Hypothesis df

Error df

Sig.

Pillai's Trace

.981

22.619

a

7.000

3.000

.013

Wilks' Lambda

.019

22.619

a

7.000

3.000

.013

Hotelling's Trace

52.777

22.619

a

7.000

3.000

.013

Roy's Largest Root

52.777

22.619

a

7.000

3.000

.013

a. Exact statistic
b. Design: Intercept
Within Subjects Design: waktu

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Lampiran 6. ANOVA REPEATED / General Linear Model
Within-Subjects Factors
Measure:MEASURE_1
Dependent
waktu

Variable

1

mean11

2

mean22

3

mean33

4

mean44

5

mean55

6

mean66

7

mean77

8

mean88

Pairwise Comparisons
Measure:MEASURE_1
95% Confidence Interval for
Difference

a

(J)

Mean Difference

(I) waktu

waktu

(I-J)

1

2

-.029

*

.005

.000

-.039

-.018

3

-.047

*

.005

.000

-.059

-.035

4

-.067

*

.004

.000

-.075

-.059

5

-.078

*

.005

.000

-.089

-.066

6

-.092

*

.005

.000

-.103

-.080

7

-.134

*

.013

.000

-.165

-.104

8

-.177

*

.019

.000

-.220

-.134

1

.029

*

.005

.000

.018

.039

3

-.018

*

.004

.001

-.027

-.010

4

-.038

*

.005

.000

-.050

-.026

5

-.049

*

.006

.000

-.062

-.036

2

Std. Error

Sig.

a

Lower Bound

Upper Bound

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3

4

5

6

6

-.063

*

.006

.000

-.076

-.050

7

-.106

*

.013

.000

-.136

-.076

8

-.148

*

.017

.000

-.187

-.109

1

.047

*

.005

.000

.035

.059

2

.018

*

.004

.001

.010

.027

4

-.020

*

.005

.004

-.031

-.008

5

-.031

*

.006

.001

-.044

-.017

6

-.045

*

.005

.000

-.056

-.033

7

-.087

*

.012

.000

-.115

-.059

8

-.130

*

.017

.000

-.168

-.092

1

.067

*

.004

.000

.059

.075

2

.038

*

.005

.000

.026

.050

3

.020

*

.005

.004

.008

.031

5

-.011

*

.003

.004

-.018

-.004

6

-.025

*

.003

.000

-.031

-.019

7

-.068

*

.013

.001

-.097

-.039

8

-.110

*

.019

.000

-.153

-.067

1

.078

*

.005

.000

.066

.089

2

.049

*

.006

.000

.036

.062

3

.031

*

.006

.001

.017

.044

4

.011

*

.003

.004

.004

.018

6

-.014

*

.003

.001

-.020

-.008

7

-.057

*

.011

.001

-.082

-.031

8

-.099

*

.018

.000

-.141

-.058

1

.092

*

.005

.000

.080

.103

2

.063

*

.006

.000

.050

.076

3

.045

*

.005

.000

.033

.056

4

.025

*

.003

.000

.019

.031

5

.014

*

.003

.001

.008

.020

7

-.043

*

.011

.003

-.067

-.018

8

-.085

*

.018

.001

-.127

-.044

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7

8

1

.134

*

.013

.000

.104

.165

2

.106

*

.013

.000

.076

.136

3

.087

*

.012

.000

.059

.115

4

.068

*

.013

.001

.039

.097

5

.057

*

.011

.001

.031

.082

6

.043

*

.011

.003

.018

.067

8

-.043

.019

.052

-.086

.000

1

.177

*

.019

.000

.134

.220

2

.148

*

.017

.000

.109

.187

3

.130

*

.017

.000

.092

.168

4

.110

*

.019

.000

.067

.153

5

.099

*

.018

.000

.058

.141

6

.085

*

.018

.001

.044

.127

7

.043

.019

.052

.000

.086

Based on estimated marginal means
*. The mean difference is significant at the .05 level.
a. Adjustment for multiple comparisons: Least Significant Difference (equivalent to no adjustments).

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Lampiran 7. Surat Keterangan Penelitian

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