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    1

    Statistics

    Kalkulasi Sturgess(Umur)

    N Valid 133

    Missing 0

    Mean 4.17

    Median 4.00

    Mode 5

    Std. Deviation 1.598

    Variance 2.553

    Range 7

    Minimum 1

    Maximum 8

    Percentiles 25 3.00

    50 4.00

    75 5.00

    Kalkulasi Sturgess

    Frequency Percent Valid Percent

    Cumulative

    Percent

    Valid 1 4 3.0 3.0 3.0

    2 16 12.0 12.0 15.0

    3 30 22.6 22.6 37.6

    4 25 18.8 18.8 56.4

    5 34 25.6 25.6 82.0

    6 12 9.0 9.0 91.0

    7 9 6.8 6.8 97.7

    8 3 2.3 2.3 100.0

    Total 133 100.0 100.0

    2.

    Statistics

    PJK

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    N Valid 133

    Missing 0

    Mode 0

    Range 1

    Percentiles 25 .00

    50 .00

    75 1.00

    PJK

    Frequency Percent Valid Percent

    Cumulative

    Percent

    Valid Tidak Berisiko PJK 95 71.4 71.4 71.4

    Berisiko PJK 38 28.6 28.6 100.0

    Total 133 100.0 100.0

    3.

    Statistics

    PJK

    N Valid 133

    Missing 0

    Mode 0

    Range 1

    Percentiles 25 .00

    50 .00

    75 1.00

    PJK

    Frequency Percent Valid Percent

    Cumulative

    Percent

    Valid Tidak Berisiko PJK 95 71.4 71.4 71.4

    Berisiko PJK 38 28.6 28.6 100.0

    Total 133 100.0 100.0

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    4.

    Hipertensi * PJK Crosstabulation

    PJK

    Total

    Tidak Berisiko

    PJK Berisiko PJK

    Hipertensi Tidak Hipertensi Count 38 14 52

    % within Hipertensi 73.1% 26.9% 100.0%

    Hipertensi Count 57 24 81

    % within Hipertensi 70.4% 29.6% 100.0%

    Total Count 95 38 133

    % within Hipertensi 71.4% 28.6% 100.0%

    Chi-Square Tests

    Value df

    Asymp. Sig. (2-

    sided)

    Exact Sig. (2-

    sided)

    Exact Sig. (1-

    sided)

    Pearson Chi-Square .114a 1 .736

    Continuity Correctionb .020 1 .888

    Likelihood Ratio .114 1 .735

    Fisher's Exact Test .845 .447

    Linear-by-Linear Association .113 1 .737

    N of Valid Casesb 133

    a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 14,86.

    b. Computed only for a 2x2 table

    P:0,888

    Ho diterima

    5.

    PJK * Hipertensi Crosstabulation

    Hipertensi

    TotalHipertensi Tidak Hipertensi

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    PJK Tidak Berisiko PJK Count 57 38 95

    % within Hipertensi2 70.4% 73.1% 71.4%

    Berisiko PJK Count 24 14 38

    % within Hipertensi2 29.6% 26.9% 28.6%

    Total Count 81 52 133

    % within Hipertensi2 100.0% 100.0% 100.0%

    Chi-Square Tests

    Value df

    Asymp. Sig. (2-

    sided)

    Exact Sig. (2-

    sided)

    Exact Sig. (1-

    sided)

    Pearson Chi-Square .114a 1 .736

    Continuity Correctionb .020 1 .888

    Likelihood Ratio .114 1 .735

    Fisher's Exact Test .845 .447

    Linear-by-Linear Association .113 1 .737

    N of Valid Casesb 133

    a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 14,86.

    b. Computed only for a 2x2 table

    P : 0,888

    Ho diterima

    Risk Estimate

    Value

    95% Confidence Interval

    Lower Upper

    Odds Ratio for PJK2 (Tidak

    Berisiko PJK / Berisiko PJK) .875 .403 1.902

    For cohort Hipertensi2 =

    Hipertensi.950 .709 1.274

    For cohort Hipertensi2 =

    Tidak Hipertensi1.086 .669 1.761

    N of Valid Cases 133

    OR = 0,875Orang yang tidak berisiko PJK mempunyai peluang 0,875 kali hipertensi

    dibandingkan yang berisiko PJK.

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    6.

    PJK * Umur(Kalkulasi Sturgess) Crosstabulation

    Umur(Kalkulasi Sturg

    1 2 3 4 5

    PJK Tidak Berisiko PJK Count 3 10 21 21

    % within Umur(Kalkulasi

    Sturgess)75.0% 62.5% 70.0% 84.0% 70

    Berisiko PJK Count 1 6 9 4

    % within Umur(KalkulasiSturgess)

    25.0% 37.5% 30.0% 16.0% 29

    Total Count 4 16 30 25

    % within Umur(Kalkulasi

    Sturgess)100.0% 100.0% 100.0% 100.0% 100

    Chi-Square Tests

    Value dfAsymp. Sig. (2-

    sided)

    Pearson Chi-Square 3.847a 7 .797

    Likelihood Ratio 3.961 7 .784

    Linear-by-Linear Association .029 1 .864

    N of Valid Cases 133

    a. 7 cells (43,8%) have expected count less than 5. The minimum

    expected count is ,86.

    P : 0,864

    Ho diterima

    7.

    Model Summary

    Model R R Square

    Adjusted R

    Square

    Std. Error of the

    Estimate

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    1 .102a .010 .003 22.250

    a. Predictors: (Constant), Umur(Kalkulasi Sturgess)

    R : 0,102

    Rsquare : 0.010variansi nilai Tekanan Darah Sistolik oleh Umur dapat dijelaskan sebesar1% (sangat lemah).Kurang baik untuk menjelaskan variabel Tekanan Darah Sistolik

    ANOVAb

    Model Sum of Squares Df Mean Square F Sig.

    1 Regression 685.112 1 685.112 1.384 .242a

    Residual 64855.820 131 495.083

    Total 65540.932 132

    a. Predictors: (Constant), Umur(Kalkulasi Sturgess)

    b. Dependent Variable: Sistolik

    P value : 0,242

    Model regresi sederhana tidak cocok dengan data yang ada

    Tidak ada hubungan yang signifikan antara umur dengan tekanan darah sistolik

    Coefficientsa

    Model

    Unstandardized Coefficients

    Standardized

    Coefficients

    t Sig.B Std. Error Beta

    1 (Constant) 138.028 5.413 25.498 .000

    Umur(Kalkulasi Sturgess) 1.426 1.212 .102 1.176 .242

    a. Dependent Variable: Sistolik

    8.

    Group Statistics

    Tinggi

    rendah

    IMT N Mean Std. Deviation Std. Error Mean

    Sistolik Rendah 88 138.98 20.726 2.209

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    Group Statistics

    Tinggi

    rendah

    IMT N Mean Std. Deviation Std. Error Mean

    Sistolik Rendah 88 138.98 20.726 2.209

    Tinggi 44 153.61 22.425 3.381

    Independent Samples Test

    Levene's Test for Equality of

    Variances

    F Sig. t df Sig. (2-tailed)

    Sistolik Equal variances assumed 1.014 .316 -3.721 130 .000

    Equal variances not assumed -3.624 80.333 .001

    P levene: 0,316 >0,05 equal

    P value : 0,000 < 0,05

    Ho ditolakTerdapat perbedaan yang signifikan rata-rata tekanan darah sistolik antara kelompok

    umur.

    9 KATEK SOAL

    10

    Tests of Normality

    Kolmogorov-Smirnova Shapiro-Wilk

    Statistic df Sig. Statistic df Sig.

    Gula Darah Sewaktu .288 133 .000 .507 133 .000

    a. Lilliefors Significance Correction

    P : 0,000

    Ho ditolakdistribusi tidak normal

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    Titik2 dak deket samo garisdak normal

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    Box plot idak tebagi mendekati 50:50dak normal

    11

    PJK * LDL_Skala Crosstabulation

    LDL_Skala

    TotalTinggi Rendah

    PJK Tidak Berisiko PJK Count 25 70 95

    % within LDL_Skala 69.4% 72.2% 71.4%

    Berisiko PJK Count 11 27 38

    % within LDL_Skala 30.6% 27.8% 28.6%

    Total Count 36 97 133

    % within LDL_Skala 100.0% 100.0% 100.0%

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    Chi-Square Tests

    Value df

    Asymp. Sig. (2-

    sided)

    Exact Sig. (2-

    sided)

    Exact Sig. (1-

    sided)

    Pearson Chi-Square .095a 1 .758

    Continuity Correctionb .009 1 .926

    Likelihood Ratio .094 1 .759

    Fisher's Exact Test .830 .458

    Linear-by-Linear Association .095 1 .759

    N of Valid Casesb 133

    a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 10,29.

    b. Computed only for a 2x2 table

    P : 0,926Ho diterimatidak ada hubungan

    12.

    PJK * DM Crosstabulation

    DM

    TotalTidak DM DM

    PJK Tidak Berisiko PJK Count 86 9 95

    % within DM 71.7% 69.2% 71.4%

    Berisiko PJK Count 34 4 38

    % within DM 28.3% 30.8% 28.6%

    Total Count 120 13 133

    % within DM 100.0% 100.0% 100.0%

    Chi-Square Tests

    Value df

    Asymp. Sig. (2-

    sided)

    Exact Sig. (2-

    sided)

    Exact Sig. (1-

    sided)

    Pearson Chi-Square .034a

    1 .853

    Continuity Correctionb .000 1 1.000

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    Likelihood Ratio .034 1 .854

    Fisher's Exact Test 1.000 .540

    Linear-by-Linear Association .034 1 .854

    N of Valid Casesb 133

    a. 1 cells (25,0%) have expected count less than 5. The minimum expected count is 3,71.

    b. Computed only for a 2x2 table

    P :1

    Ho diterimatidak ada hubungan

    13

    PJK * Genetik Crosstabulation

    Genetik

    TotalGenetik PJK

    Tidak Genetik

    PJK

    PJK Tidak Berisiko PJK Count 95 0 95

    % within Genetik 87.2% .0% 71.4%

    Berisiko PJK Count 14 24 38

    % within Genetik 12.8% 100.0% 28.6%

    Total Count 109 24 133

    % within Genetik 100.0% 100.0% 100.0%

    Chi-Square Tests

    Value dfAsymp. Sig. (2-

    sided)Exact Sig. (2-

    sided)Exact Sig. (1-

    sided)

    Pearson Chi-Square 73.211a 1 .000

    Continuity Correctionb 69.003 1 .000

    Likelihood Ratio 75.556 1 .000

    Fisher's Exact Test .000 .000

    N of Valid Casesb 133

    a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 6,86.

    b. Computed only for a 2x2 table

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    P : 0,000

    Ho ditolak : ada hubungan

    14

    Model Summary

    Model R R Square

    Adjusted R

    Square

    Std. Error of the

    Estimate

    1 .003a .000 -.008 54.724

    a. Predictors: (Constant), Hemotokrit

    R square : 0,000..

    Varians nilai total kolesterol oleh hemotokrit adalah 0% (sangat lemah)

    ANOVAb

    Model Sum of Squares df Mean Square F Sig.

    1 Regression 3.009 1 3.009 .001 .975a

    Residual 392302.961 131 2994.679

    Total 392305.970 132

    a. Predictors: (Constant), Hemotokrit

    b. Dependent Variable: Total Cholesterol

    P : 0,975

    Tidak terdapat korelasi yang bermakna antara jumlah hematokrit dan total kolesterol

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    15

    Group Statistics

    LDL_Skala N Mean Std. Deviation Std. Error Mean

    Sistolik Tinggi 36 139.17 20.100 3.350

    Rendah 97 145.76 22.880 2.323

    Diastolik Tinggi 36 91.47 22.008 3.668

    Rendah 97 91.03 15.142 1.537

    Independent Samples Test

    Levene's Test for Equality of

    Variances t-test for Equ

    F Sig. t df Sig. (2-tailed) Mean Differen

    olik Equal variances assumed 2.162 .144 -1.524 131 .130 -6.

    Equal variances not assumed -1.618 70.788 .110 -6.

    tolik Equal variances assumed .358 .551 .131 131 .896 .

    Equal variances not assumed .111 47.839 .912 .

    Bila tekanan darah yang dimaksud soal Adalah sistolik maka

    P Levene : 0,144 > 0,05 equal

    P : 0,130

    Ho diterimatidak ada perbedaan yang signifikan

    Namun, bila tekanan darah ynag dimaksud soalah adalah diastolikmaka

    P levene : 0,551 > 0,05equal

    P : 0,896

    Ho diterimatidak ada perbedaan yang signifikan

    16

    Group Statistics

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    Tinggi

    rendah

    IMT N Mean Std. Deviation Std. Error Mean

    Total Cholesterol Rendah 88 184.18 52.819 5.630

    Tinggi 44 194.34 57.772 8.709

    Independent Samples Test

    Levene's Test for Equality of Variances t-t

    F Sig. t df Sig. (2-tailed) Me

    l Cholesterol Equal variances assumed .371 .543 -1.009 130 .315

    Equal variances not assumed -.980 79.583 .330

    Plevene :0,543equal

    P : 0,315

    Ho diterimatidak ada perbedaan yang signifikan

    17

    Group Statistics

    Tinggi

    rendah

    IMT N Mean Std. Deviation Std. Error Mean

    Gula Darah Sewaktu Rendah 88 138.25 94.660 10.091

    Tinggi 44 142.25 77.948 11.751

    Independent Samples Test

    Levene's Test for Equality of Variances

    F Sig. t df Sig. (2-tailed)

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    a Darah Sewaktu Equal variances assumed .046 .831 -.242 130 .809

    Equal variances not assumed -.258 102.303 .797

    Plevene : 0,831equal

    P : 0,809

    Ho diterimatidak ada perbedaan yang signifikan

    18.

    Model Summary

    Model R R Square

    Adjusted R

    Square

    Std. Error of the

    Estimate

    1 .285a .081 .074 52.452

    a. Predictors: (Constant), Gula Darah Sewaktu

    Rsquare : 0,081

    Varians total kolesterol oleh kadar gula darah sewaktu dapat dijelaskan sebesar 8,1% (sangat lemah)

    ANOVAb

    Model Sum of Squares df Mean Square F Sig.

    1 Regression 31892.933 1 31892.933 11.592 .001a

    Residual 360413.037 131 2751.245

    Total 392305.970 132

    a. Predictors: (Constant), Gula Darah Sewaktu

    b. Dependent Variable: Total Cholesterol

    P : 0,01

    Ho ditolakterdapat hubungan korelasi yang bermakna antara total kolesterol dan kadar GDS

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