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Lampiran 1. Jumlah Pencari Kerja Menurut Usia dan Jenis Kelamin Di Kota Semarang Tahun 2003 Yang Sudah Diterima (Berdasarkan yang Terdaftar di Disnaker)

USIA * JENIS KELAMIN * KETERANG Crosstabulation Count

179 105 284

499 314 813

16 12 28

694 431 1125

128 113 241

382 283 665

11 15 26

521 411 932

178 107 285

430 263 693

18 10 28

626 380 1006

15-20 21-30 31-40 USIA

Total

15-20 21-30 31-40 USIA

Total

15-20 21-30 31-40 USIA

Total KETERANG INDUSTRI

NON PERD

PERDAGAN

LAKI-LAKI PEREMPUAN JENIS KELAMIN

Total

(2)

Lampiran 2. Hubungan Jenis Kelamin Terhadap Kecepatan Memperoleh Pekerjaan di Sektor Perdagangan, Industri, Non Perdagangan dan Industri

JENIS KELAMIN * FREKUENSI DAFTAR ULANG * KET Crosstabulation

191 298 205 694

27.5% 42.9% 29.5% 100.0%

116 171 144 431

26.9% 39.7% 33.4% 100.0%

307 469 349 1125

27.3% 41.7% 31.0% 100.0%

134 245 142 521

25.7% 47.0% 27.3% 100.0%

108 189 114 411

26.3% 46.0% 27.7% 100.0%

242 434 256 932

26.0% 46.6% 27.5% 100.0%

173 251 202 626

27.6% 40.1% 32.3% 100.0%

110 152 118 380

28.9% 40.0% 31.1% 100.0%

283 403 320 1006

28.1% 40.1% 31.8% 100.0%

Count

% within JENIS KELAM Count

% within JENIS KELAM Count

% within JENIS KELAM Count

% within JENIS KELAM Count

% within JENIS KELAM Count

% within JENIS KELAM Count

% within JENIS KELAM Count

% within JENIS KELAM Count

% within JENIS KELAM LAKI-LAKI

PEREMPUAN JENIS KELAM

Total

LAKI-LAKI

PEREMPUAN JENIS KELAM

Total

LAKI-LAKI

PEREMPUAN JENIS KELAM

Total KET

INDUSTRI

NON PERDAGAN GAN

PERDAGAN GAN

1 2 3

FREKUENSI DAFTAR ULANG

Total

(3)

Chi-Square Tests

2.000a 2 .368

1.993 2 .369

1125

.100b 2 .951

.100 2 .951

932

.255c 2 .880

.255 2 .880

1006 Pearson Chi-Square

Likelihood Ratio N of Valid Cases Pearson Chi-Square Likelihood Ratio N of Valid Cases

Pearson Chi-Square Likelihood Ratio N of Valid Cases KET

INDUSTRI

NON PERDAGAN GAN DAN INDUSTRI

PERDAGAN GAN

Value df

Asymp. Sig.

(2-sided)

0 cells (.0%) have expected count less than 5. The minimum expected count is 117.62.

a.

0 cells (.0%) have expected count less than 5. The minimum expected count is 106.72.

b.

0 cells (.0%) have expected count less than 5. The minimum expected count is 106.90.

c.

Symmetric Measures

.002 .539

1125

.000 .499

932

.000 .920

1006 Contingency Coefficient

Nominal by Nominal N of Valid Cases

Contingency Coefficient Nominal by Nominal

N of Valid Cases

Contingency Coefficient Nominal by Nominal

N of Valid Cases KETERANG

INDUSTRI

NON PERD

PERDAGAN

Value Approx. Sig.

Not assuming the null hypothesis.

a.

Using the asymptotic standard error assuming the null hypothesis.

b.

(4)

Lampiran 3. Hubungan Jenis Kelamin Terhadap Kecepatan Memperoleh Pekerjaan di Sektor Perdagangan dan Industri, Non Perdagangan dan Industri

JENIS KELAMIN * FREKUENSI DAFTAR ULANG * KETERANG Crosstabulation

134 245 142 521

25.7% 47.0% 27.3% 100.0%

108 189 114 411

26.3% 46.0% 27.7% 100.0%

242 434 256 932

26.0% 46.6% 27.5% 100.0%

364 549 407 1320

27.6% 41.6% 30.8% 100.0%

226 323 262 811

27.9% 39.8% 32.3% 100.0%

590 872 669 2131

27.7% 40.9% 31.4% 100.0%

Count

% within JENIS KELAM Count

% within JENIS KELAM Count

% within JENIS KELAM Count

% within JENIS KELAM Count

% within JENIS KELAM Count

% within JENIS KELAM LAKI-LAKI

PEREMPUAN JENIS KELAMIN

Total

LAKI-LAKI

PEREMPUAN JENIS KELAMIN

Total KETERANG NON PERD

PERDAGAN

1 2 3

FREKUENSI DAFTAR ULANG

Total

(5)

Chi-Square Tests

.100a 2 .951

.100 2 .951

932

.744b 2 .689

.744 2 .689

2131 Pearson Chi-Square

Likelihood Ratio N of Valid Cases Pearson Chi-Square Likelihood Ratio N of Valid Cases KETERANG

NON PERD

PERDAGAN GAN DAN INDUSTRI

Value df

Asymp. Sig.

(2-sided)

0 cells (.0%) have expected count less than 5. The minimum expected count is 106.72.

a.

0 cells (.0%) have expected count less than 5. The minimum expected count is 224.54.

b.

Symmetric Measures

.000 .499

932

.000 .920

2131 Contingency Coefficient

Nominal by Nominal N of Valid Cases

Contingency Coefficient Nominal by Nominal

N of Valid Cases KETERANG

NON PERD

PERDAGAN

Value Approx. Sig.

Not assuming the null hypothesis.

a.

Using the asymptotic standard error assuming the null hypothesis.

b.

(6)

Lampiran 4. Hubungan Tingkat Pendidikan Terhadap Kecepatan Memperoleh Pekerjaan di Sektor Perdagangan, Industri, Non Perdagangan dan Industri Serta Perdagangan dan Industri

PENDIDIKAN * FREKUENSI DAFTAR ULANG * KET Crosstabulation

41 75 13 129

31.8% 58.1% 10.1% 100.0%

38 158 83 279

13.6% 56.6% 29.7% 100.0%

53 2 98 153

34.6% 1.3% 64.1% 100.0%

74 226 47 347

21.3% 65.1% 13.5% 100.0%

101 8 108 217

46.5% 3.7% 49.8% 100.0%

307 469 349 1125

27.3% 41.7% 31.0% 100.0%

52 98 13 163

31.9% 60.1% 8.0% 100.0%

29 125 55 209

13.9% 59.8% 26.3% 100.0%

50 3 66 119

42.0% 2.5% 55.5% 100.0%

36 201 50 287

12.5% 70.0% 17.4% 100.0%

75 7 72 154

48.7% 4.5% 46.8% 100.0%

242 434 256 932

26.0% 46.6% 27.5% 100.0%

44 86 14 144

30.6% 59.7% 9.7% 100.0%

25 93 64 182

13.7% 51.1% 35.2% 100.0%

42 8 102 152

27.6% 5.3% 67.1% 100.0%

59 206 53 318

18.6% 64.8% 16.7% 100.0%

113 10 87 210

53.8% 4.8% 41.4% 100.0%

283 403 320 1006

28.1% 40.1% 31.8% 100.0%

Count

% within PENDIDIKAN Count

% within PENDIDIKAN Count

% within PENDIDIKAN Count

% within PENDIDIKAN Count

% within PENDIDIKAN Count

% within PENDIDIKAN Count

% within PENDIDIKAN Count

% within PENDIDIKAN Count

% within PENDIDIKAN Count

% within PENDIDIKAN Count

% within PENDIDIKAN Count

% within PENDIDIKAN Count

% within PENDIDIKAN Count

% within PENDIDIKAN Count

% within PENDIDIKAN Count

% within PENDIDIKAN Count

% within PENDIDIKAN Count

% within PENDIDIKAN Diploma

S1 SD SLTA SLTP PENDIDIKAN

Total

Diploma S1 SD SLTA SLTP PENDIDIKAN

Total

Diploma S1 SD SLTA SLTP PENDIDIKAN

Total KET

INDUSTRI

NON PERD

PERDAGAN

1 2 3

FREKUENSI DAFTAR ULANG

Total

(7)

Chi-Square Tests

392.108a 8 .000

482.132 8 .000

1125

320.572b 8 .000

388.734 8 .000

932

363.803c 8 .000

413.693 8 .000

1006 Pearson Chi-Square

Likelihood Ratio N of Valid Cases Pearson Chi-Square Likelihood Ratio

N of Valid Cases Pearson Chi-Square Likelihood Ratio N of Valid Cases KET

INDUSTRI

NON PERDAGAN GAN DAN INDUSTRI

PERDAGAN GAN

Value df

Asymp. Sig.

(2-sided)

0 cells (.0%) have expected count less than 5. The minimum expected count is 35.20.

a.

0 cells (.0%) have expected count less than 5. The minimum expected count is 30.90.

b.

0 cells (.0%) have expected count less than 5. The minimum expected count is 40.51.

c.

Symmetric Measures

.634 .420

1125

.580 .750

932

.615 .439

1006 Contingency Coefficient

Nominal by Nominal N of Valid Cases

Contingency Coefficient Nominal by Nominal

N of Valid Cases

Contingency Coefficient Nominal by Nominal

N of Valid Cases KET

INDUSTRI

NON PERD

PERDAGAN

Value Approx. Sig.

Not assuming the null hypothesis.

a.

Using the asymptotic standard error assuming the null hypothesis.

b.

(8)

Lampiran 5. Hubungan Tingkat Pendidikan Terhadap Kecepatan Memperoleh Pekerjaan di Sektor Perdagangan dan Industri, Non Perdagangan dan Industri

PENDIDIKAN * FREKUENSI DAFTAR ULANG * KETERANG Crosstabulation

52 98 13 163

31.9% 60.1% 8.0% 100.0%

29 125 55 209

13.9% 59.8% 26.3% 100.0%

50 3 66 119

42.0% 2.5% 55.5% 100.0%

36 201 50 287

12.5% 70.0% 17.4% 100.0%

75 7 72 154

48.7% 4.5% 46.8% 100.0%

242 434 256 932

26.0% 46.6% 27.5% 100.0%

85 161 27 273

31.1% 59.0% 9.9% 100.0%

63 251 147 461

13.7% 54.4% 31.9% 100.0%

95 10 200 305

31.1% 3.3% 65.6% 100.0%

133 432 100 665

20.0% 65.0% 15.0% 100.0%

214 18 195 427

50.1% 4.2% 45.7% 100.0%

590 872 669 2131

27.7% 40.9% 31.4% 100.0%

Count

% within PENDIDIKAN Count

% within PENDIDIKAN Count

% within PENDIDIKAN Count

% within PENDIDIKAN Count

% within PENDIDIKAN Count

% within PENDIDIKAN Count

% within PENDIDIKAN Count

% within PENDIDIKAN Count

% within PENDIDIKAN Count

% within PENDIDIKAN Count

% within PENDIDIKAN Count

% within PENDIDIKAN Diploma

S1

SD

SLTA

SLTP PENDIDIKAN

Total

Diploma

S1

SD

SLTA

SLTP PENDIDIKAN

Total KETERANG NON PERDAGAN GAN DAN INDUSTRI

PERDAGAN GAN DAN INDUSTRI

1 2 3

FREKUENSI DAFTAR ULANG

Total

(9)

Chi-Square Tests

320.572a 8 .000

388.734 8 .000

932

747.630b 8 .000

884.740 8 .000

2131 Pearson Chi-Square

Likelihood Ratio N of Valid Cases Pearson Chi-Square Likelihood Ratio N of Valid Cases KETERANG

NON PERDAGAN GAN DAN INDUSTRI PERDAGAN GAN DAN INDUSTRI

Value df

Asymp. Sig.

(2-sided)

0 cells (.0%) have expected count less than 5. The minimum expected count is 30.90.

a.

0 cells (.0%) have expected count less than 5. The minimum expected count is 75.58.

b.

Symmetric Measures

.580 .750

932

.777 .865

2131 Contingency Coefficient

Nominal by Nominal

N of Valid Cases

Contingency Coefficient Nominal by Nominal

N of Valid Cases KETERANG

NON PERDAGAN GAN DAN INDUSTRI PERDAGAN GAN DAN INDUSTRI

Value Approx. Sig.

Not assuming the null hypothesis.

a.

Using the asymptotic standard error assuming the null hypothesis.

b.

(10)

Lampiran 6. Hubungan Usia Terhadap Kecepatan Memperoleh Pekerjaan di Sektor Perdagangan, Industri, Non Perdagangan dan Industri

USIA * FREKUENSI DAFTAR ULANG * KET Crosstabulation

98 80 106 284

34.5% 28.2% 37.3% 100.0%

201 370 242 813

24.7% 45.5% 29.8% 100.0%

8 19 1 28

28.6% 67.9% 3.6% 100.0%

307 469 349 1125

27.3% 41.7% 31.0% 100.0%

72 81 88 241

29.9% 33.6% 36.5% 100.0%

163 336 166 665

24.5% 50.5% 25.0% 100.0%

7 17 2 26

26.9% 65.4% 7.7% 100.0%

242 434 256 932

26.0% 46.6% 27.5% 100.0%

102 78 105 285

35.8% 27.4% 36.8% 100.0%

178 302 213 693

25.7% 43.6% 30.7% 100.0%

3 23 2 28

10.7% 82.1% 7.1% 100.0%

283 403 320 1006

28.1% 40.1% 31.8% 100.0%

Count

% within USIA Count

% within USIA Count

% within USIA Count

% within USIA Count

% within USIA Count

% within USIA Count

% within USIA Count

% within USIA Count

% within USIA Count

% within USIA Count

% within USIA Count

% within USIA 15-20

21-30

31-40 USIA

Total

15-20

21-30

31-40 USIA

Total

15-20

21-30

31-40 USIA

Total KET

INDUSTRI

NON PERDAGAN GAN DAN INDUSTRI

PERDAGAN GAN

1 2 3

FREKUENSI DAFTAR ULANG

Total

(11)

Chi-Square Tests

38.150a 4 .000

42.615 4 .000

1125

27.276b 4 .000

28.737 4 .000

932

44.291c 4 .000

45.651 4 .000

1006 Pearson Chi-Square

Likelihood Ratio N of Valid Cases Pearson Chi-Square Likelihood Ratio N of Valid Cases Pearson Chi-Square Likelihood Ratio N of Valid Cases KET

INDUSTRI

NON PERD

PERDAGAN

Value df

Asymp. Sig.

(2-sided)

0 cells (.0%) have expected count less than 5. The minimum expected count is 7.64.

a.

0 cells (.0%) have expected count less than 5. The minimum expected count is 6.75.

b.

0 cells (.0%) have expected count less than 5. The minimum expected count is 7.88.

c.

Symmetric Measures

.033 .197

1125

.028 .937

932

.042 .387

1006 Contingency Coefficient

Nominal by Nominal N of Valid Cases

Contingency Coefficient Nominal by Nominal

N of Valid Cases

Contingency Coefficient Nominal by Nominal

N of Valid Cases KET

INDUSTRI

NON PERDAGAN GAN DAN INDUSTRI

PERDAGAN GAN

Value Approx. Sig.

Not assuming the null hypothesis.

a.

Using the asymptotic standard error assuming the null hypothesis.

b.

(12)

Lampiran 7. Hubungan Usia Terhadap Kecepatan Memperoleh Pekerjaan di Sektor Perdagangan dan Industri, Non Perdagangan dan Industri

USIA * FREKUENSI DAFTAR ULANG * KETERANG Crosstabulation

72 81 88 241

29.9% 33.6% 36.5% 100.0%

163 336 166 665

24.5% 50.5% 25.0% 100.0%

7 17 2 26

26.9% 65.4% 7.7% 100.0%

242 434 256 932

26.0% 46.6% 27.5% 100.0%

200 158 211 569

35.1% 27.8% 37.1% 100.0%

379 672 455 1506

25.2% 44.6% 30.2% 100.0%

11 42 3 56

19.6% 75.0% 5.4% 100.0%

590 872 669 2131

27.7% 40.9% 31.4% 100.0%

Count

% within USIA Count

% within USIA Count

% within USIA Count

% within USIA Count

% within USIA Count

% within USIA Count

% within USIA Count

% within USIA 15-20

21-30

31-40 USIA

Total

15-20

21-30

31-40 USIA

Total KETERANG NON PERDAGAN GAN DAN INDUSTRI

PERDAGAN GAN DAN INDUSTRI

1 2 3

FREKUENSI DAFTAR ULANG

Total

(13)

Chi-Square Tests

38.150a 4 .000

42.615 4 .000

1125

27.276b 4 .000

28.737 4 .000

932

44.291c 4 .000

45.651 4 .000

1006 Pearson Chi-Square

Likelihood Ratio N of Valid Cases Pearson Chi-Square Likelihood Ratio N of Valid Cases Pearson Chi-Square Likelihood Ratio N of Valid Cases KET

INDUSTRI

NON PERD

PERDAGAN

Value df

Asymp. Sig.

(2-sided)

0 cells (.0%) have expected count less than 5. The minimum expected count is 7.64.

a.

0 cells (.0%) have expected count less than 5. The minimum expected count is 6.75.

b.

0 cells (.0%) have expected count less than 5. The minimum expected count is 7.88.

c.

Symmetric Measures

.028 .938

932

.095 .228

2131 Contingency Coefficient

Nominal by Nominal

N of Valid Cases

Contingency Coefficient Nominal by Nominal

N of Valid Cases KETERANG

NON PERDAGAN GAN DAN INDUSTRI PERDAGAN GAN DAN INDUSTRI

Value Approx. Sig.

Not assuming the null hypothesis.

a.

Using the asymptotic standard error assuming the null hypothesis.

b.

(14)

Lampiran 8. Hubungan Status Pernikahan Terhadap Kecepatan Memperoleh Pekerjaan di Sektor Perdagangan, Industri, Non Perdagangan dan Industri Serta Perdagangan dan Industri

STATUS PERKAWINAN * FREKUENSI DAFTAR ULANG * KET Crosstabulation

278 404 320 1002

27.7% 40.3% 31.9% 100.0%

29 65 29 123

23.6% 52.8% 23.6% 100.0%

307 469 349 1125

27.3% 41.7% 31.0% 100.0%

215 374 237 826

26.0% 45.3% 28.7% 100.0%

27 60 19 106

25.5% 56.6% 17.9% 100.0%

242 434 256 932

26.0% 46.6% 27.5% 100.0%

249 333 293 875

28.5% 38.1% 33.5% 100.0%

34 70 27 131

26.0% 53.4% 20.6% 100.0%

283 403 320 1006

28.1% 40.1% 31.8% 100.0%

Count

% within STATUS PERKAWINAN Count

% within STATUS PERKAWINAN Count

% within STATUS PERKAWINAN Count

% within STATUS PERKAWINAN Count

% within STATUS PERKAWINAN Count

% within STATUS PERKAWINAN Count

% within STATUS PERKAWINAN Count

% within STATUS PERKAWINAN Count

% within STATUS PERKAWINAN BELUM KAW

KAWIN STATUS PERKAWIN

Total

BELUM KAW

KAWIN STATUS PERKAWIN

Total

BELUM KAW

KAWIN STATUS PERKAWIN

Total KET

INDUSTRI

NON PERDAGAN GAN DAN INDUSTRI

PERDAGAN GAN

1 2 3

FREKUENSI DAFTAR ULANG

Total

(15)

Chi-Square Tests

7.288a 2 .026

7.231 2 .027

1125

6.564b 2 .038

6.909 2 .032

932

12.918c 2 .002

13.107 2 .001

1006 Pearson Chi-Square

Likelihood Ratio N of Valid Cases Pearson Chi-Square Likelihood Ratio N of Valid Cases Pearson Chi-Square Likelihood Ratio N of Valid Cases KET

INDUSTRI

NON PERD

PERDAGAN

Value df

Asymp. Sig.

(2-sided)

0 cells (.0%) have expected count less than 5. The minimum expected count is 33.57.

a.

0 cells (.0%) have expected count less than 5. The minimum expected count is 27.52.

b.

0 cells (.0%) have expected count less than 5. The minimum expected count is 36.85.

c.

Symmetric Measures

.006 .966

1125

.007 .965

932

.126 .885

1006 Contingency Coefficient

Nominal by Nominal N of Valid Cases

Contingency Coefficient Nominal by Nominal

N of Valid Cases

Contingency Coefficient Nominal by Nominal

N of Valid Cases KET

INDUSTRI

NON PERDAGAN GAN DAN INDUSTRI

PERDAGAN

Value Approx. Sig.

Not assuming the null hypothesis.

a.

Using the asymptotic standard error assuming the null hypothesis.

b.

(16)

Lampiran 9. Hubungan Status Pernikahan Terhadap Kecepatan Memperoleh Pekerjaan di Sektor Perdagangan dan Industri, Non Perdagangan dan Industri

STATUS PERKAWINAN * FREKUENSI DAFTAR ULANG * KETERANG Crosstabulation

215 374 237 826

26.0% 45.3% 28.7% 100.0%

27 60 19 106

25.5% 56.6% 17.9% 100.0%

242 434 256 932

26.0% 46.6% 27.5% 100.0%

527 737 613 1877

28.1% 39.3% 32.7% 100.0%

63 135 56 254

24.8% 53.1% 22.0% 100.0%

590 872 669 2131

27.7% 40.9% 31.4% 100.0%

Count

% within STATUS PERKAWINAN Count

% within STATUS PERKAWINAN Count

% within STATUS PERKAWINAN Count

% within STATUS PERKAWINAN Count

% within STATUS PERKAWINAN Count

% within STATUS PERKAWINAN BELUM KAW

KAWIN STATUS PERKAWINA

Total

BELUM KAW

KAWIN STATUS PERKAWINA

Total KETERANG NON PERDAGAN GAN DAN INDUSTRI

PERDAGAN GAN DAN INDUSTRI

1 2 3

FREKUENSI DAFTAR ULANG

Total

(17)

Chi-Square Tests

6.564a 2 .038

6.909 2 .032

932

19.431b 2 .000

19.485 2 .000

2131 Pearson Chi-Square

Likelihood Ratio N of Valid Cases Pearson Chi-Square Likelihood Ratio N of Valid Cases KETERANG

NON PERD

PERDAGAN

Value df

Asymp. Sig.

(2-sided)

0 cells (.0%) have expected count less than 5. The minimum expected count is 27.52.

a.

0 cells (.0%) have expected count less than 5. The minimum expected count is 70.32.

b.

Symmetric Measures

.007 .966

932

.026 .842

2131 Contingency Coefficient

Nominal by Nominal

N of Valid Cases

Contingency Coefficient Nominal by Nominal

N of Valid Cases KETERANG

NON PERDAGAN GAN DAN INDUSTRI PERDAGAN GAN DAN INDUSTRI

Value Approx. Sig.

Not assuming the null hypothesis.

a.

Using the asymptotic standard error assuming the null hypothesis.

b.

(18)

Lampiran 10. Hubungan Kompetensi Terhadap Kecepatan Memperoleh Pekerjaan di Sektor Perdagangan, Industri, Non Perdagangan dan Industri Serta Perdagangan dan Industri

KOMPETENSI * FREKUENSI DAFTAR ULANG * KET Crosstabulation

243 308 295 846

28.7% 36.4% 34.9% 100.0%

64 161 54 279

22.9% 57.7% 19.4% 100.0%

307 469 349 1125

27.3% 41.7% 31.0% 100.0%

201 291 224 716

28.1% 40.6% 31.3% 100.0%

41 143 32 216

19.0% 66.2% 14.8% 100.0%

242 434 256 932

26.0% 46.6% 27.5% 100.0%

251 277 267 795

31.6% 34.8% 33.6% 100.0%

32 126 53 211

15.2% 59.7% 25.1% 100.0%

283 403 320 1006

28.1% 40.1% 31.8% 100.0%

Count

% within KOMPETENS Count

% within KOMPETENS Count

% within KOMPETENS Count

% within KOMPETENS Count

% within KOMPETENS Count

% within KOMPETENS Count

% within KOMPETENS Count

% within KOMPETENS Count

% within KOMPETENS MEMILIKI

KOMPETENS

Total

MEMILIKI KOMPETENS

Total

MEMILIKI KOMPETENS

Total KET

INDUSTRI

NON PERDAGAN GAN DAN INDUSTRI

PERDAGAN GAN

1 2 3

FREKUENSI DAFTAR ULANG

Total

(19)

Chi-Square Tests

41.684a 2 .000

41.940 2 .000

1125

44.953b 2 .000

45.892 2 .000

932

45.463c 2 .000

45.675 2 .000

1006 Pearson Chi-Square

Likelihood Ratio N of Valid Cases Pearson Chi-Square Likelihood Ratio N of Valid Cases

Pearson Chi-Square Likelihood Ratio N of Valid Cases KET

INDUSTRI

NON PERDAGAN GAN DAN INDUSTRI

PERDAGAN GAN

Value df

Asymp. Sig.

(2-sided)

0 cells (.0%) have expected count less than 5. The minimum expected count is 76.14.

a.

0 cells (.0%) have expected count less than 5. The minimum expected count is 56.09.

b.

0 cells (.0%) have expected count less than 5. The minimum expected count is 59.36.

c.

Symmetric Measures

.004 .582

1125

.046 .547

932

.043 .523

1006 Contingency Coefficient

Nominal by Nominal N of Valid Cases

Contingency Coefficient Nominal by Nominal

N of Valid Cases

Contingency Coefficient Nominal by Nominal

N of Valid Cases KET

INDUSTRI

NON PERD

PERDAGAN

Value Approx. Sig.

Not assuming the null hypothesis.

a.

Using the asymptotic standard error assuming the null hypothesis.

b.

(20)

Lampiran 11. Hubungan Kompetensi Terhadap Kecepatan Memperoleh Pekerjaan di Sektor Perdagangan dan Industri, Non Perdagangan dan Industri

KOMPETENSI * FREKUENSI DAFTAR ULANG * KETERANG Crosstabulation

201 291 224 716

28.1% 40.6% 31.3% 100.0%

41 143 32 216

19.0% 66.2% 14.8% 100.0%

242 434 256 932

26.0% 46.6% 27.5% 100.0%

494 585 562 1641

30.1% 35.6% 34.2% 100.0%

96 287 107 490

19.6% 58.6% 21.8% 100.0%

590 872 669 2131

27.7% 40.9% 31.4% 100.0%

Count

% within KOMPETENS Count

% within KOMPETENS Count

% within KOMPETENS Count

% within KOMPETENS Count

% within KOMPETENS Count

% within KOMPETENS MEMILIKI

KOMPETENSI

Total

MEMILIKI KOMPETENSI

Total KETERANG NON PERDAGAN GAN DAN INDUSTRI

PERDAGAN GAN DAN INDUSTRI

1 2 3

FREKUENSI DAFTAR ULANG

Total

(21)

Chi-Square Tests

44.953a 2 .000

45.892 2 .000

932

82.024b 2 .000

80.923 2 .000

2131 Pearson Chi-Square

Likelihood Ratio N of Valid Cases Pearson Chi-Square Likelihood Ratio N of Valid Cases KETERANG

NON PERD

PERDAGAN

Value df

Asymp. Sig.

(2-sided)

0 cells (.0%) have expected count less than 5. The minimum expected count is 56.09.

a.

0 cells (.0%) have expected count less than 5. The minimum expected count is 135.66.

b.

Symmetric Measures

.046 .548

932

.037 .542

2131 Contingency Coefficient

Nominal by Nominal N of Valid Cases

Contingency Coefficient Nominal by Nominal

N of Valid Cases KETERANG

NON PERDAGAN GAN DAN INDUSTRI PERDAGAN GAN DAN INDUSTRI

Value Approx. Sig.

Not assuming the null hypothesis.

a.

Using the asymptotic standard error assuming the null hypothesis.

b.

(22)

Jenis Kelamin L P

Jan 1 DARYONO BANYUMANIK 20 X TK SLTP buruh 1

Jan 2 SUKO PRANOTO TEMBALANG 28 X TK SLTA staf kantor 1

Jan 3 SULISTYANINGTYAS TUGU 20 X TK SLTA sales koki 1 ANDALUSIA KATERING

Jan 4 WITOYO PEDURUNGAN 24 X TK S1 sales guru 1 SD BINTANG CENDEKIA

Jan 5 HIE KIANG TEK GENUK 20 X TK SLTP sales sales 2 MONALISA GARMEN

Jan 6 MOELYONO CANDISARI 20 X K SLTA buruh 2

Jan 7 HADI SISWOYO GUNUNG PATI 21 X K SLTA staf kantor staf kantor 1 EXAINT

Jan 8 ANA ROBERA GENUK 22 X K SLTA staf kantor 1

Jan 9 JAYUSMANTO TUGU 21 X TK SLTA staf kantor 1

Jan 10 SUWIGNYO SEMARANG SLT 21 X TK SLTP buruh 1

Jan 11 SUHARTI SEMARANG TMR 24 X K SD buruh 1

Jan 12 NURMALA GANI SEMARANG TGH 21 X K SLTP buruh 1

Jan 13 KUSYADI SEMARANG BRT 20 X TK SLTA staf kantor 2

Jan 14 DIDI SASTRAATMAJA GAYAM SARI 20 X TK SLTA staf kantor buruh 2 PT SIDA KARYA

Jan 15 BAMBANG TS TEMBALANG 17 X TK SLTP sales buruh 1 PT UNGARAN SARI

Jan 16 EDDY WIBOWO BANYUMANIK 20 X K SD Pembantu RT 1

Jan 17 FREDDY HARTOYO SEMARANG TMR 21 X TK SLTP buruh 1

Jan 18 MARIANA IRINAGA PEDURUNGAN 25 X K S1 KOMPUTERguru supervisor 1 PT FURNITURE

Jan 19 SULISTYO BUDI GENUK 26 X TK S1 KOMPUTERadministrasi supervisor 2 PT NUFARINDO

Jan 20 POEDJIONO CANDISARI 24 X K SLTA administrasi administrasi 1 PT MUHAGA

Jan 21 JULIANA SEMARANG SLT 21 X TK SLTP kebersihan kebersihan 1 PT ACROE INDONESIA

Jan 22 AULIA SEMARANG TMR 35 X K SLTA KOMPUTERsales - 1

Jan 23 SETYO PRINARKO NGALIAN 20 X TK SLTA sales - 2

Jan 24 SHINTA WAHYUNI MIJEN 28 X TK S1 INGGRIS marketing - 1

Jan 25 DINI RISA JATMI GUNUNG PATI 21 X TK D1 KOMPUTER marketing marketing 1 ARTA GUNUNG SEWU

Jan 26 UYUSMANTO HM GENUK 20 X TK SLTA staf kantor koki 2 MERTOYUDAN RESTO

Jan 27 TITIK DJANARTI TUGU 25 X TK SD kebersihan kebersihan 1 SHAGA FITNESS

Jan 28 SRI PURWATI GUNUNG PATI 18 X TK SD buruh 2

Jan 29 LAN KUSRIN GENUK 20 X TK SLTA staf kantor staf kantor 1 BPR MRANGGEN

Jan 30 SLAMET HARJONO TUGU 21 X TK SLTP sales sales 1 MONALISA GARMEN

Jan 31 LYUDYA L SEMARANG SLT 20 X TK SLTA staf kantor buruh 2 PT CAHYA RUKMA

Jan 32 BASUKI SEMARANG TMR 23 X TK D1 KOMPUTERsales administrasi 2 OSCAR KOMPUTER

Jan 33 MUHAMMAD REZA SEMARANG TGH 24 X TK SLTA staf kantor - 1

Jan 34 HASANUDDIN SEMARANG BRT 16 X TK SLTP buruh - 1

Jan 35 LILI TANJUNG GAYAM SARI 20 X TK SLTA staf kantor - 1

Jan 36 YUNI WINARTI TEMBALANG 27 X TK D2 MANDARIN sales guru 2 SD BINTANG CENDEKIA

Jan 37 YULI HERMAWATI BANYUMANIK 29 X TK D3 sales administrasi 1 GANESHA OPERATION

Jan 38 USMAN SEMARANG TMR 28 X TK SLTA MONTIR sales penjaga toko 2 SINAR JAYA

Jan 39 MAMPUONO MIJEN 21 X TK SLTP buruh - 1

Jan 40 LILIK TJ GUNUNG PATI 24 X TK SD Pembantu RT - 2

Jan 41 CHAERINA BANYUMANIK 21 X TK SLTP sales pesuruh 1 OSCAR KOMPUTER

Jan 42 SUWANTO TEMBALANG 28 X TK SLTA staf kantor sales 2 MONALISA GARMEN

Jan 43 DETI HARTINI TUGU 29 X TK SD kebersihan kebersihan 1 PERMATA INDONUSA

Jan 44 ERNA YUNITA PEDURUNGAN 27 X TK SLTP buruh 2

Jan 45 YUYUN SUKAWATI GENUK 26 X TK SD buruh kebersihan 1 GANESHA OPERATION

Jan 46 GUNAWAN CANDISARI 23 X TK S1 guru pimpinan 2 CV RODA JATI

Jan 47 EDIES EDILINA SEMARANG SLT 21 X TK D3 sales sales 1 HARGO ANUGERAH

Jan 48 RATNA KOMALA SEMARANG TMR 23 X TK S1 KOMPUTERguru guru 2 TK ST LOUIS

Jan 49 LAELATUL NGALIAN 19 X TK SLTA staf kantor sales 2 BINAYASA PUTRA

Jan 50 LATIEF KHAN MIJEN 20 X TK SLTP sales buruh 1 PT MASPION

Jan 51 SUHANDOYO GUNUNG PATI 25 X TK SD Pembantu RT - 1

Jan 52 ANDI HERMAWAN GENUK 20 X TK SLTP buruh - 1

Jan 53 MUSA TUGU 26 X TK S1 KOMPUTERguru supervisor 1 PT LG

Jan 54 HASAN KHAN SEMARANG SLT 26 X TK S1 KOMPUTERadministrasi supervisor 2 PT FARMAUS CIPTA

Jan 55 MUSTOFA SEMARANG TMR 18 X TK SLTA administrasi QC 1 PT FURNITURE

Jan 56 SHOLAHUDDIN SEMARANG TGH 20 X TK SLTP kebersihan buruh 1 PT NUFARINDO

Jan 57 WIDYANINGRUM SEMARANG BRT 20 X K SLTP sales - 1

Jan 58 ADIB JAELANI GAYAM SARI 31 X TK SLTA sales - 2

Jan 59 MOCH IQBAL TEMBALANG 30 X TK S1 INGGRIS marketing - 1

Jan 60 MOCH. FAHMI BANYUMANIK 26 X TK S1 KOMPUTERdosen dosen 1 UNAKI

Jan 61 FIRDAUS SEMARANG TMR 29 X TK SLTA staf kantor penjaga toko 2 ANUGERAH Jan 62 PASIID GUNUNG PATI 24 X TK SD kebersihan kebersihan 1 ARTA GUNUNG SEWU Jan 63 WAMILDAN TUGU 21 X TK SD buruh 2 Jan 64 RIDHOWATI TUGU 19 X TK SLTA staf kantor instruktur 1 SHAGA FITNESS Jan 65 AYOEB TUGU 20 X TK SLTP sales keamanan 1 BPR AMBARAWA

Lampiran 12

Data Pencari Kerja Yang Mendaftar Pada Dinas Tenaga Kerja Tahun 2003 di Semarang

( Pencari Kerja Yang Sudah Diterima Bekerja Maupun Belum Diterima Bekerja )

Bulan

No Nama Kecamatan Usia Status Pendidikan

Kompetensi Pekerjaan

yang diinginkan

Pekerjaan yang diterima

Frekuensi daftar ulang

Referensi

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