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    Lampiran 2. Keluaran SPSS

    Hasil Uji Validitas

    Correlations

    .482**

    .000

    101

    .590**

    .000

    101

    .619**

    .000

    101

    .645**

    .000

    101

    .578**

    .000

    101

    .579**

    .000

    101

    .626**

    .000

    101

    .553**

    .000

    101

    .568**

    .000101

    .662**

    .000

    101

    .456**

    .000

    101

    .521**

    .000

    101

    .496**

    .000

    101

    .588**

    .000

    101

    .573**

    .000

    101

    Pearson Correlation

    Sig. (2-tailed)

    N

    Pearson Correlation

    Sig. (2-tailed)

    N

    Pearson Correlation

    Sig. (2-tailed)

    N

    Pearson Correlation

    Sig. (2-tailed)

    N

    Pearson Correlation

    Sig. (2-tailed)

    N

    Pearson Correlation

    Sig. (2-tailed)

    N

    Pearson Correlation

    Sig. (2-tailed)

    N

    Pearson Correlation

    Sig. (2-tailed)

    N

    Pearson Correlation

    Sig. (2-tailed)N

    Pearson Correlation

    Sig. (2-tailed)

    N

    Pearson Correlation

    Sig. (2-tailed)

    N

    Pearson Correlation

    Sig. (2-tailed)

    N

    Pearson Correlation

    Sig. (2-tailed)

    N

    Pearson Correlation

    Sig. (2-tailed)

    N

    Pearson Correlation

    Sig. (2-tailed)

    N

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    Total

    Correlation is significant at the 0.01 level**.

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    Hasil Uji Relibilitas

    Reliability

    Scale: ALL VARIABLES

    Case Processing Summary

    101 100.0

    0 .0

    101 100.0

    Valid

    Excludeda

    Total

    CasesN %

    Listwise deletion based on allvariables in the procedure.

    a.

    Reliability Statistics

    .848 15

    Cronbach's

    Alpha N of Items

    Item Statistics

    4.12 .765 101

    3.92 .924 101

    3.55 .964 101

    4.11 .760 101

    4.19 .784 101

    4.11 .811 101

    4.50 .658 101

    4.23 .859 101

    4.16 .821 101

    4.04 .811 101

    3.77 .823 101

    3.93 .791 1013.80 .837 101

    4.59 .619 101

    4.00 .787 101

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    Mean Std. Deviation N

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    Item-Total Statistics

    56.90 42.210 .389 .844

    57.10 40.070 .490 .838

    57.47 39.431 .520 .837

    56.91 40.542 .572 .834

    56.83 41.081 .494 .838

    56.91 40.902 .491 .838

    56.52 41.472 .561 .836

    56.79 40.906 .457 .840

    56.86 40.961 .478 .839

    56.98 39.980 .587 .833

    57.25 42.208 .353 .846

    57.09 41.662 .428 .842

    57.22 41.692 .395 .844

    56.43 42.067 .524 .838

    57.02 41.120 .487 .838

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    Scale Mean ifItem Deleted

    Scale

    Variance ifItem Deleted

    Corrected

    Item-TotalCorrelation

    Cronbach's

    Alpha if ItemDeleted

    Scale Statistics

    61.02 46.660 6.831 15

    Mean Variance Std. Deviation N of Items

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    Hasil Analisis Faktor Exploratory Sebelum Rotasi

    Factor Analysis

    Descriptive Statistics

    4.12 .765 101

    3.92 .924 101

    3.55 .964 101

    4.11 .760 101

    4.19 .784 101

    4.11 .811 101

    4.50 .658 101

    4.23 .859 101

    4.16 .821 101

    4.04 .811 101

    3.77 .823 101

    3.93 .791 101

    3.80 .837 101

    4.59 .619 101

    4.00 .787 101

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    Mean Std. Deviation Analysis N

    Correlation Matrixa

    Determinant = .006a.

    KMO and Bartlett's Test

    .743

    485.627

    105

    .000

    Kaiser-Meyer-Olkin Measure of Sampling

    Adequacy.

    Approx. Chi-Square

    df

    Sig.

    Bartlett's Test of

    Sphericity

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    Communalities

    1.000 .627

    1.000 .593

    1.000 .642

    1.000 .651

    1.000 .627

    1.000 .597

    1.000 .552

    1.000 .732

    1.000 .687

    1.000 .589

    1.000 .803

    1.000 .6601.000 .687

    1.000 .674

    1.000 .637

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    Initial Extraction

    Extraction Method: Principal Component Analysis.

    Total Variance Explained

    4.922 32.815 32.815 4.922 32.815 32.815

    1.457 9.716 42.531 1.457 9.716 42.531

    1.255 8.368 50.900 1.255 8.368 50.900

    1.104 7.362 58.262 1.104 7.362 58.262

    1.019 6.792 65.054 1.019 6.792 65.054

    .923 6.155 71.209

    .785 5.235 76.444

    .703 4.685 81.129

    .623 4.156 85.285

    .566 3.775 89.060

    .459 3.058 92.118

    .367 2.449 94.567

    .333 2.223 96.790

    .282 1.882 98.672

    .199 1.328 100.000

    Component1

    2

    3

    4

    5

    6

    7

    8

    9

    10

    11

    12

    13

    14

    15

    Total % of Variance Cumulative % Total % of Variance Cumulative %

    Initial Eigenvalues Extraction Sums of Squared Loadings

    Extraction Method: Principal Component Analysis.

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    Component Matrixa

    .465 .065 -.153 .526 .326

    .574 .103 -.502 -.006 .028

    .604 .228 .220 .355 .226

    .650 .369 .183 -.137 .200

    .583 .046 -.060 -.164 .504

    .579 .176 .342 .302 -.149

    .654 -.211 -.259 .076 -.089

    .549 -.179 -.424 .343 -.319

    .569 -.437 -.132 -.292 .264

    .670 .142 -.212 -.127 -.243

    .440 .564 -.173 -.508 -.052

    .514 .322 .427 .069 -.324

    .489 -.601 .289 -.026 .044

    .620 -.251 .066 -.178 -.436

    .576 -.295 .410 -.211 .073

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    1 2 3 4 5

    Component

    Extraction Method: Principal Component Analysis.

    5 components extracted.a.

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    Factor Analysis Rotasi Varimax

    Total Variance Explained

    4.922 32.815 32.815 2.222 14.810 14.810

    1.457 9.716 42.531 2.219 14.794 29.605

    1.255 8.368 50.900 1.930 12.866 42.471

    1.104 7.362 58.262 1.825 12.164 54.635

    1.019 6.792 65.054 1.563 10.419 65.054

    Component1

    2

    3

    4

    5

    Total % of Variance Cumulative % Total % of Variance Cumulative %

    Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings

    Extraction Method: Principal Component Analysis.

    Rotated Component Matrixa

    .296 .025 .115 -.034 .724

    .595 .056 -.051 .397 .274

    .103 .141 .477 .135 .605

    .029 .221 .410 .561 .344

    .069 .407 -.033 .469 .485

    .182 .140 .681 .037 .282

    .611 .337 .104 .122 .199

    .822 .064 .132 -.085 .168

    .285 .700 -.181 .239 .161

    .548 .154 .283 .429 .032

    .148 -.062 .175 .861 -.069

    .094 .076 .778 .199 .017

    .159 .771 .164 -.188 .073

    .494 .466 .376 .124 -.237

    .014 .714 .329 .126 .060

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    Component

    Extraction Method: Principal Component Analysis.

    Rotation Method: Varimax with Kaiser Normalization.

    Rotation converged in 8 iterations.a.

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    Factor Analysis Rotasi Quartimax

    Total Variance Explained

    4.922 32.815 32.815 2.468 16.456 16.456

    1.457 9.716 42.531 2.226 14.839 31.295

    1.255 8.368 50.900 2.023 13.484 44.779

    1.104 7.362 58.262 1.682 11.211 55.990

    1.019 6.792 65.054 1.360 9.064 65.054

    Component1

    2

    3

    4

    5

    Total % of Variance Cumulative % Total % of Variance Cumulative %

    Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings

    Extraction Method: Principal Component Analysis.

    Rotated Component Matrixa

    .825

    .636

    .636

    .581

    .766

    .716

    .702

    .780

    .697

    .846

    .546

    .696

    .519 .557

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    Component

    Extraction Method: Principal Component Analysis.

    Rotation Method: Quartimax with Kaiser Normalization.

    Rotation converged in 6 iterations.a.

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    Rotated Component Matrixa

    .336 .038 .160 -.051 .696

    .636 .057 -.032 .360 .236

    .153 .157 .519 .119 .557

    .094 .239 .445 .546 .298

    .136 .426 .009 .461 .463

    .209 .144 .697 .008 .219

    .636 .331 .110 .075 .145

    .825 .049 .129 -.142 .112

    .320 .702 -.170 .212 .133

    .581 .150 .286 .383 -.029

    .201 -.053 .187 .846 -.100

    .116 .078 .780 .173 -.047

    .167 .766 .160 -.215 .033

    .499 .450 .353 .072 -.304

    .042 .716 .333 .105 .014

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    Component

    Extraction Method: Principal Component Analysis.

    Rotation Method: Quartimax with Kaiser Normalization.

    Rotation converged in 6 iterations.a.

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    Factor Analysis Rotasi Equamax

    Total Variance Explained

    4.922 32.815 32.815 2.166 14.437 14.437

    1.457 9.716 42.531 2.099 13.993 28.430

    1.255 8.368 50.900 1.904 12.693 41.122

    1.104 7.362 58.262 1.900 12.669 53.791

    1.019 6.792 65.054 1.689 11.263 65.054

    Component1

    2

    3

    4

    5

    Total % of Variance Cumulative % Total % of Variance Cumulative %

    Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings

    Extraction Method: Principal Component Analysis.

    Rotated Component Matrixa

    .771

    .707

    .695

    .817

    .598

    .571

    .528

    .867

    .565

    .776

    .674

    .737

    .626

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    Component

    Extraction Method: Principal Component Analysis.

    Rotation Method: Equamax with Kaiser Normalization.

    Rotation converged in 11 iterations.a.

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    Lampiran 3. Keluaran Analisis SWOT

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    Lampiran 4. Spesifikasi Biodiesel

    Sumber: www.bsn.or.id, diakses pada tanggal 22 Februari 2011(PPPTMOB Lemigas Jakarta).

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    Emisi Kendaraan dengan bahan bakar Biodiesel B-20 dan B-100dibandingkan dengan minyak Solar murni

    Sumber: USEPA, www.bsn.or.id, diakses pada tanggal 22 Februari 2011(PPPTMOB Lemigas Jakarta).

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    Sumber: www.biodieselgear.com diakses pada tanggal 22 Februari 2011.

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    Uji kelayakan pada mesin mobil Toyota KijangBalai Termodinamika Motor dan Propulsi BPPT, Serpong Banten

    No. Uraian B 10 Premium Pertamax

    1. Kinerja Mesin[newton]

    1.856,1 1.393,8 1.804

    2. Konsumsi [liter/jam] 30,39 31,03 27,38

    Sumber:www.alpensteel.com, diakses pada tanggal 22 Februari 2011.