Lampiran 1 KUESIONER ANALISIS PEMBANGUNAN EKONOMI TERHADAP KETIMPANGAN PEMBANGUNAN ANTAR SEKTOR WILAYAH KOTA MEDAN

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Lampiran 1

KUESIONER

ANALISIS PEMBANGUNAN EKONOMI TERHADAP KETIMPANGAN

PEMBANGUNAN ANTAR SEKTOR WILAYAH KOTA MEDAN

B. Identitas Responden

1. Nama :

……….

2. Umur :

……….

tahun

3. Jenis Kelamin

: ……….

4. Status perkawinan

: Menikah/Belum Menikah/Janda/

Duda

5. Pekerjaan utama

: ……….

6. Lama Menekuni Pekerjaan

: ………tahun

7. Pekerjaan sampingan

: ……….

8. Pendidikan

: a. SD

b. SLTP

c. SLTA

d. D3

e. S1

9. Jumlah tanggungan

: ……… orang

10. Status rumah

: a. Milik sendiri

b. Sewa

c. Menompang

11. Alamat rumah

: ……….

……….

C. Pendapatan

1. Pendapatan dari pekerjaan utama suami/istri

Rp.………….../bulan

2. Pendapatan sampingan suami/istri

Rp.………….../bulan

3. Pendapatan lainnya

Rp.………….../bulan

4. ……… Rp.………….../bulan

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D. Pengeluaran Konsumsi

1. Pengeluaran konsumsi RT

Rp.…………..…/bulan

2. Pengeluaran biaya perumahan (sewa + asuransi)

a. Sewa rumah

Rp.…………..…/bulan

b. Asuransi rumah

Rp.…………..…/bulan

c. Perawatan rumah

Rp.…………..…/bulan

Jumlah

Rp.

………/bulan

3. Pengeluaran biaya pemakaian listrik

Rp.…………..…/bulan

4. Pengeluaran biaya pemakaian air PDAM

Rp.…………..…/bulan

5. Pengeluaran pemakaian biaya :

a. Telepon Rp.…………..…/bulan

b. HP Rp.…………..…/bulan

Jumlah

Rp.…………..…/bulan

6. Pengeluaran biaya pemakaian minyak/gas (kompor)

a. Minyak tanah

Rp.…………..…/bulan

b. Gas

Rp.…………..…/bulan

Jumlah

Rp.…………..…/bulan

7. Pengeluaran biaya kesehatan

a. Asuransi kesehatan Rp.…………..…/bulan

b. Asuransi perawatan Rp.…………..…/bulan

c. Dan lain-lain

Rp.…………..…/bulan

Jumlah

Rp.…………..…/bulan

8. Pengeluaran biaya pendidikan

(Biaya pendidikan anak, istri, suami dan keluarga Rp.…………..…/bulan

a. Biaya buku

Rp.…………..…/bulan

b. Jajan Rp.…………..…/bulan

c. Transportasi Rp.…………..…/bulan

d. Baju sekolah

Rp.…………..…/bulan

e. Asuransi pendidikan Rp.…………..…/bulan

f. Uang sekolah (SPP) Rp.…………..…/bulan

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328 9. Pengeluaran biaya transportasi kerja (BBM)

Rp.…………..…/bulan

10. Pengeluaran iuran sosial (STM, dll)

Rp.…………..…/bulan

11. Pengeluaran untuk angsuran kredit

Rp.…………..…/bulan

a. Mobil Rp.…………..…/bulan

b. Honda

Rp.…………..…/bulan

c. TV

Rp.…………..…/bulan

d. Dan lain-lain

Rp.…………..…/bulan

Jumlah

Rp.…………..…/bulan

12. Pengeluaran biaya prime asuransi

a. Jiwa Rp.…………..…/bulan

b. Kebakaran Rp.…………..…/bulan

c. Dan lain-lain

Rp.…………..…/bulan

Jumlah

Rp.…………..…/bulan

13. Pengeluaran Pajak Bumi dan Bangunan (PBB) Rp.…………..…/bulan

14. Retribusi sampah

a. Kebersihan Rp.…………..…/bulan

b. Keamanan Rp.…………..…/bulan

Jumlah

Rp.…………..…/bulan

15. Biaya pengeluaran hari raya/tahun baru

(pakaian + kue)

Rp.…………..…/bulan

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Lampiran 2

Data Interpolasi Pertumbuhan Sektor Pertanian, Sektor Perindustrian,

Sektor Perdagangan, Sektor Keuangan, Jumlah Kesempatan Kerja,

Pertumbuhan Ekonomi, dan Distribusi Pendapatan

No X1 X2 X3 X4 Z1 Z2 Z3 1 1.96 5.01 5.13 5.38 1.28 1.27 0.07 2 2.02 5.21 5.25 5.5 1.34 1.31 0.07 3 2.08 5.42 5.37 5.62 1.4 1.35 0.07 4 2.14 5.62 5.49 5.74 1.46 1.38 0.07 5 3.57 4.92 2.6 4.72 1.16 0.95 0.07 6 3.3 4.99 3.09 4.87 1.2 1.02 0.07 7 3.02 5.06 3.58 5.03 1.23 1.08 0.07 8 2.74 5.13 4.08 5.18 1.27 1.15 0.07 9 7.29 6.29 5.2 6.44 1.73 1.62 0.07 10 6.54 6.06 4.86 6.17 1.64 1.51 0.07 11 5.79 5.83 4.53 5.9 1.54 1.41 0.07 12 5.04 5.6 4.19 5.63 1.45 1.31 0.07 13 1.52 4.59 4.08 3.76 0.95 0.76 0.07 14 2.37 4.84 4.19 4.17 1.07 0.89 0.07 15 3.21 5.08 4.31 4.59 1.19 1.02 0.07 16 4.05 5.33 4.42 5 1.3 1.15 0.07 17 7.96 3.86 3.22 3.82 0.8 0.89 0.07 18 7.02 4.06 3.41 3.92 0.86 0.9 0.07 19 6.08 4.26 3.59 4.02 0.92 0.91 0.07 20 5.14 4.46 3.78 4.12 0.98 0.92 0.07 21 5.48 4.8 4.3 4.47 0.95 0.96 0.07 22 5.67 4.69 4.16 4.38 0.94 0.95 0.07 23 5.87 4.57 4.01 4.29 0.93 0.94 0.07 24 6.06 4.45 3.87 4.2 0.92 0.93 0.07 25 2.13 5.28 6.82 5.81 1.57 1.24 0.08 26 2.79 5.16 6.32 5.54 1.45 1.18 0.08 27 3.46 5.05 5.82 5.27 1.34 1.13 0.07 28 4.12 4.93 5.33 5.01 1.22 1.08 0.07 29 6.93 1.63 10 3.27 0.38 0.54 0.08 30 6.24 2.26 9.28 3.66 0.57 0.65 0.08 31 5.55 2.89 8.57 4.04 0.75 0.76 0.08 32 4.86 3.52 7.86 4.43 0.94 0.87 0.08 33 5.19 2.87 3.02 4.37 0.75 0.84 0.08 34 5.32 2.82 4.1 4.27 0.73 0.81 0.08 35 5.45 2.77 5.17 4.18 0.72 0.79 0.08 36 5.58 2.71 6.24 4.08 0.7 0.77 0.08 37 4.07 5.55 3.64 5.12 0.63 1.08 0.07 38 4.31 5.05 3.82 4.96 0.65 1.03 0.07 39 4.55 4.55 4 4.79 0.67 0.98 0.07 40 4.79 4.05 4.18 4.63 0.68 0.93 0.07 41 -1 5.31 1.71 5.65 1.18 1.38 0.07 42 -0.01 5.21 2.11 5.51 1.08 1.31 0.07 43 0.97 5.12 2.51 5.37 0.99 1.24 0.07

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330

No X1 X2 X3 X4 Z1 Z2 Z3 45 2.39 0.93 1.78 3.47 0 0.35 0.07 46 2.04 1.7 1.88 3.83 0.19 0.52 0.07 47 1.69 2.47 1.97 4.19 0.37 0.68 0.07 48 1.35 3.24 2.07 4.54 0.56 0.85 0.07 49 8.13 9.02 4.67 6.85 2.46 1.91 0.08 50 6.99 7.76 4.17 6.33 2.06 1.67 0.08 51 5.85 6.5 3.67 5.82 1.66 1.43 0.08 52 4.71 5.24 3.17 5.3 1.27 1.19 0.08 53 -1.38 -3.21 -2.14 -3.48 -1.84 -0.48 -0.02 54 0.04 -1.33 -1.04 -1.74 -1.17 -0.11 0 55 1.46 0.55 0.07 0 -0.49 0.26 0.01 56 2.88 2.43 1.17 1.73 0.18 0.63 0.03 57 1.39 4.49 0.74 1.59 2.51 1.08 0.03 58 1.27 3.61 0.52 1.14 1.9 0.9 0.02 59 1.16 2.72 0.29 0.7 1.3 0.71 0.02 60 1.04 1.83 0.07 0.25 0.69 0.53 0.01 61 8.33 5.6 2.6 6.92 0.92 1.45 0.1 62 7.04 5.16 2.2 5.83 1.04 1.34 0.08 63 5.74 4.71 1.8 4.74 1.17 1.22 0.07 64 4.45 4.27 1.4 3.65 1.29 1.1 0.05 65 1.11 0.29 2.34 2.82 -0.03 0.28 0.04 66 2.07 1.13 2.28 3.27 0.18 0.46 0.04 67 3.03 1.98 2.22 3.71 0.38 0.64 0.05 68 3.99 2.82 2.16 4.16 0.59 0.82 0.06 69 3.07 7.27 4.93 6.27 1.73 1.58 0.09 70 2.97 6.23 4.45 5.77 1.47 1.4 0.08 71 2.88 5.19 3.96 5.26 1.2 1.21 0.07 72 2.79 4.15 3.47 4.75 0.94 1.02 0.06 73 2.41 6.81 3.08 5.69 1.59 1.43 0.06 74 2.5 6.61 3.28 5.66 1.55 1.4 0.06 75 2.6 6.41 3.49 5.62 1.5 1.38 0.07 76 2.69 6.21 3.69 5.59 1.45 1.36 0.07 77 9.05 6.72 6.64 5.83 1.53 1.41 0.07 78 7.87 6.68 6.05 5.79 1.53 1.4 0.07 79 6.69 6.64 5.45 5.76 1.53 1.4 0.07 80 5.5 6.6 4.86 5.73 1.53 1.4 0.07 81 0.44 7.88 0.6 6.67 2.06 1.67 0.09 82 1.68 7.66 1.54 6.51 1.96 1.62 0.08 83 2.93 7.44 2.47 6.34 1.87 1.57 0.08 84 4.17 7.22 3.41 6.18 1.77 1.52 0.08 85 2.82 7.41 0.04 6.29 1.84 1.57 0.08 86 2.73 7.44 0.4 6.31 1.86 1.58 0.08 87 2.64 7.46 0.75 6.34 1.87 1.58 0.08 88 2.54 7.49 1.11 6.36 1.88 1.59 0.08 89 5.3 6.63 3.16 5.43 1.79 1.49 0.08 90 4.83 6.78 2.69 5.59 1.8 1.5 0.08 91 4.35 6.93 2.22 5.76 1.81 1.52 0.08 92 3.87 7.08 1.75 5.92 1.83 1.54 0.08

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Lampiran 3.

Data Responden Tentang Pendapatan Dan Pengeluaran Antar Sektor

Wilayah Kota Medan

SEKTOR PERDAGANGAN (A) SEKTOR KEUANGAN (B)

independen dependen

NO PENDAPATAN PENGELUARAN NO PENDAPATAN PENGELUARAN

1 5,000.000 3,522.500 1 2,200.000 1,210.000 2 2,500.000 2,280.000 2 7,500.000 4,769.500 3 1,200.000 1,010.000 3 6,600.000 4,780.000 4 2,500.000 2,305.000 4 2,500.000 1,770.000 5 1,200.000 1,191.000 5 4,000.000 1,820.000 6 1,200.000 1,005.000 6 5,000.000 1,735.000 7 900.000 880.000 7 2,750.000 2,305.000 8 3,800.000 1,270.000 8 3,000.000 1,570.000 9 5,000.000 2,375.000 9 2,500.000 2,085.000 10 1,000.000 985.000 10 2,500.000 2,360.000 11 3,700.000 3,302.000 11 5,000.000 2,865.000 12 6,500.000 4,700.000 12 4,500.000 3,200.000 13 4,500.000 3,375.000 13 5,000.000 3,315.000 14 1,700.000 1,030.000 14 3,500.000 2,185.000 15 5,200.000 3,330.000 15 5,700.000 3,574.500 16 5,500.000 2,805.000 16 3,500.000 2,910.000 17 5,000.000 3,688.000 17 3,000.000 1,805.000 18 4,000.000 2,810.000 18 3,000.000 2,300.000 19 1,700.000 861.000 19 3,600.000 2,366.000 20 3,900.000 2,065.000 20 3,500.000 2,300.000 21 7,000.000 6,355.000 21 4,100.000 2,880.000 22 3,500.000 1,340.000 22 3,500.000 1,465.000 23 2,000.000 1,823.000 23 8,500.000 7,415.000 24 3,000.000 2,305.000 24 10,000.000 5,030.000 25 3,900.000 2,278.000 25 7,300.000 3,643.000 26 2,900.000 2,560.000 26 2,500.000 1,550.000 27 2,800.000 2,310.000 27 3,500.000 3,230.000 28 2,600.000 2,050.000 28 5,250.000 3,835.000 29 1,850.000 1,489.000 29 3,750.000 2,810.000 30 3,000.000 1,712.000 30 3,500.000 3,450.000 31 1,000.000 958.000 31 3,250.000 2,885.000 32 2,500.000 1,612.000 32 5,750.000 3,825.000 33 2,000.000 1,860.000 33 3,200.000 3,120.000 34 2,500.000 1,730.000 34 3,600.000 1,992.000 35 3,000.000 2,830.000 35 4,500.000 2,710.000 36 4,600.000 3,430.000 36 2,750.000 2,300.000 37 3,550.000 2,962.000 37 4,200.000 2,975.000 38 3,250.000 2,815.000 38 3,200.000 2,265.000 39 4,000.000 3,150.000 39 4,250.000 2,720.000 40 3,200.000 2,230.000 40 4,250.000 2,900.000

(7)

NO PENDAPATAN PENGELUARAN NO PENDAPATAN PENGELUARAN 41 1,850.000 1,580.000 41 6,000.000 4,331.000 42 2,000.000 1,802.500 42 3,500.000 2,305.000 43 1,750.000 1,280.000 43 2,750.000 2,340.000 44 2,000.000 1,782.000 44 6,250.000 3,380.000 45 1,500.000 1,250.000 45 5,000.000 3,455.000 46 1,500.000 1,360.000 46 4,500.000 2,655.000 47 2,250.000 1,657.500 47 5,250.000 3,310.000 48 2,100.000 2,080.000 48 3,000.000 2,745.000 49 2,750.000 2,022.500 49 3,200.000 2,230.000 50 4,500.000 3,597.000 50 3,000.000 2,270.000

SEKTOR INDUSTRI (C) SEKTOR PERTANIAN (D)

NO PENDAPATAN PENGELUARAN NO PENDAPATAN PENGELUARAN

1 8,000.000 4,302.500 1 2,765.000 2,395.000 2 2,000.000 1,863.500 2 1,670.000 1,620.000 3 7,500.000 4,773.500 3 1,890.000 1,788.000 4 3,500.000 2,255.800 4 1,730.000 1,682.000 5 5,000.000 3,963.500 5 1,660.000 1,641.000 6 4,500.000 2,232.500 6 1,685.000 1,513.000 7 4,500.000 2,363.000 7 1,030.000 970.000 8 3,000.000 2,310.000 8 1,725.000 1,722.500 9 5,500.000 5,003.500 9 1,465.000 1,307.500 10 5,000.000 4,581.500 10 1,475.000 1,448.000 11 3,500.000 3,230.000 11 1,210.000 1,135.000 12 4,000.000 3,055.000 12 2,875.000 2,297.500 13 4,000.000 2,916.500 13 1,400.000 1,295.000 14 5,000.000 4,200.000 14 1,600.000 1,460.000 15 4,000.000 3,781.500 15 2,650.000 2,401.000 16 5,000.000 2,826.500 16 1,850.000 1,755.000 17 3,000.000 1,852.500 17 1,850.000 1,600.000 18 2,200.000 1,970.000 18 1,700.000 1,190.000 19 4,000.000 2,631.900 19 700.000 695.000 20 5,000.000 4,826.600 20 1,585.000 1,405.000 21 6,000.000 2,370.000 21 1,450.000 1,435.000 22 6,000.000 3,956.500 22 950.000 890.000 23 4,000.000 2,498.500 23 1,450.000 1,150.000 24 4,800.000 3,105.000 24 1,475.000 1,225.000 25 2,500.000 2,155.000 25 1,450.000 1,335.000 26 3,800.000 2,585.500 26 1,550.000 1,180.000 27 3,450.000 2,195.000 27 1,425.000 1,343.000 28 2,000.000 1,950.000 28 1,365.000 1,005.000 29 2,000.000 1,865.000 29 1,475.000 1,378.000 30 1,750.000 1,700.000 30 1,750.000 1,624.000 31 3,200.000 2,547.000 31 1,625.000 1,600.000

(8)

NO PENDAPATAN PENGELUARAN NO PENDAPATAN PENGELUARAN 32 2,500.000 1,875.000 32 1,900.000 1,625.000 33 2,000.000 1,850.000 33 1,450.000 1,425.000 34 4,750.000 2,915.000 34 1,550.000 1,310.000 35 2,500.000 1,630.000 35 1,275.000 1,200.000 36 2,750.000 2,215.000 36 1,200.000 1,010.000 37 4,600.000 3,500.000 37 1,675.000 1,300.000 38 2,750.000 2,393.000 38 900.000 890.000 39 2,750.000 1,595.000 39 1,700.000 1,552.000 40 3,000.000 2,410.000 40 1,700.000 1,667.000 41 3,750.000 2,567.000 41 1,075.000 1,020.000 42 3,800.000 2,315.000 42 1,700.000 1,615.000 43 3,750.000 2,129.500 43 1,800.000 1,760.000 44 4,500.000 2,692.500 44 700.000 680.000 45 6,500.000 3,629.000 45 1,300.000 1,105.000 46 4,750.000 2,700.000 46 600.000 525.000 47 3,250.000 2,540.000 47 1,575.000 1,557.000 48 3,500.000 2,330.000 48 1,275.000 1,110.000 49 3,500.000 2,385.000 49 1,725.000 1,697.000 50 2,750.000 1,775.000 50 1,425.000 1,395.000

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Data Responden Tentang Pendapatan Dan Pengeluaran Wilayah Kota

Medan

NO PENDAPATAN PENGELUARAN 1 5,000.000 3,522.500 2 2,500.000 2,280.000 3 1,200.000 1,010.000 4 2,500.000 2,305.000 5 1,200.000 1,191.000 6 1,200.000 1,005.000 7 900.000 880.000 8 3,800.000 1,270.000 9 5,000.000 2,375.000 10 1,000.000 985.000 11 3,700.000 3,302.000 12 6,500.000 4,700.000 13 4,500.000 3,375.000 14 1,700.000 1,030.000 15 5,200.000 3,330.000 16 5,500.000 2,805.000 17 5,000.000 3,688.000 18 4,000.000 2,810.000 19 1,700.000 861.000 20 3,900.000 2,065.000 21 7,000.000 6,355.000 22 3,500.000 1,340.000 23 2,000.000 1,823.000 24 3,000.000 2,305.000 25 3,900.000 2,278.000 26 2,900.000 2,560.000 27 2,800.000 2,310.000 28 2,600.000 2,050.000 29 1,850.000 1,489.000 30 3,000.000 1,712.000 31 1,000.000 958.000 32 2,500.000 1,612.000 33 2,000.000 1,860.000 34 2,500.000 1,730.000 35 3,000.000 2,830.000 36 4,600.000 3,430.000 37 3,550.000 2,962.000 38 3,250.000 2,815.000 39 4,000.000 3,150.000 40 3,200.000 2,230.000 41 1,850.000 1,580.000 42 2,000.000 1,802.500 43 1,750.000 1,280.000 44 2,000.000 1,782.000

(10)

NO PENDAPATAN PENGELUARAN 45 1,500.000 1,250.000 46 1,500.000 1,360.000 47 2,250.000 1,657.500 48 2,100.000 2,080.000 49 2,750.000 2,022.500 50 4,500.000 3,597.000 51 8,000.000 4,302.500 52 2,000.000 1,863.500 53 7,500.000 4,773.500 54 3,500.000 2,255.800 55 5,000.000 3,963.500 56 4,500.000 2,232.500 57 4,500.000 2,363.000 58 3,000.000 2,310.000 59 5,500.000 5,003.500 60 5,000.000 4,581.500 61 3,500.000 3,230.000 62 4,000.000 3,055.000 63 4,000.000 2,916.500 64 5,000.000 4,200.000 65 4,000.000 3,781.500 66 5,000.000 2,826.500 67 3,000.000 1,852.500 68 2,200.000 1,970.000 69 4,000.000 2,631.900 70 5,000.000 4,826.600 71 6,000.000 2,370.000 72 6,000.000 3,956.500 73 4,000.000 2,498.500 74 4,800.000 3,105.000 75 2,500.000 2,155.000 76 3,800.000 2,585.500 77 3,450.000 2,195.000 78 2,000.000 1,950.000 79 2,000.000 1,865.000 80 1,750.000 1,700.000 81 3,200.000 2,547.000 82 2,500.000 1,875.000 83 2,000.000 1,850.000 84 4,750.000 2,915.000 85 2,500.000 1,630.000 86 2,750.000 2,215.000 87 4,600.000 3,500.000 88 2,750.000 2,393.000 89 2,750.000 1,595.000 90 3,000.000 2,410.000 91 3,750.000 2,567.000

(11)

NO PENDAPATAN PENGELUARAN 92 3,800.000 2,315.000 93 3,750.000 2,129.500 94 4,500.000 2,692.500 95 6,500.000 3,629.000 96 4,750.000 2,700.000 97 3,250.000 2,540.000 98 3,500.000 2,330.000 99 3,500.000 2,385.000 100 2,750.000 1,775.000 101 2,200.000 1,210.000 102 7,500.000 4,769.500 103 6,600.000 4,780.000 104 2,500.000 1,770.000 105 4,000.000 1,820.000 106 5,000.000 1,735.000 107 2,750.000 2,305.000 108 3,000.000 1,570.000 109 2,500.000 2,085.000 110 2,500.000 2,360.000 111 5,000.000 2,865.000 112 4,500.000 3,200.000 113 5,000.000 3,315.000 114 3,500.000 2,185.000 115 5,700.000 3,574.500 116 3,500.000 2,910.000 117 3,000.000 1,805.000 118 3,000.000 2,300.000 119 3,600.000 2,366.000 120 3,500.000 2,300.000 121 4,100.000 2,880.000 122 3,500.000 1,465.000 123 8,500.000 7,415.000 124 10,000.000 5,030.000 125 7,300.000 3,643.000 126 2,500.000 1,550.000 127 3,500.000 3,230.000 128 5,250.000 3,835.000 129 3,750.000 2,810.000 130 3,500.000 3,450.000 131 3,250.000 2,885.000 132 5,750.000 3,825.000 133 3,200.000 3,120.000 134 3,600.000 1,992.000 135 4,500.000 2,710.000 136 2,750.000 2,300.000 137 4,200.000 2,975.000 138 3,200.000 2,265.000

(12)

NO PENDAPATAN PENGELUARAN 139 4,250.000 2,720.000 140 4,250.000 2,900.000 141 6,000.000 4,331.000 142 3,500.000 2,305.000 143 2,750.000 2,340.000 144 6,250.000 3,380.000 145 5,000.000 3,455.000 146 4,500.000 2,655.000 147 5,250.000 3,310.000 148 3,000.000 2,745.000 149 3,200.000 2,230.000 150 3,000.000 2,270.000 151 2,765.000 2,395.000 152 1,670.000 1,620.000 153 1,890.000 1,788.000 154 1,730.000 1,682.000 155 1,660.000 1,641.000 156 1,685.000 1,513.000 157 1,030.000 970.000 158 1,725.000 1,722.500 159 1,465.000 1,307.500 160 1,475.000 1,448.000 161 1,210.000 1,135.000 162 2,875.000 2,297.500 163 1,400.000 1,295.000 164 1,600.000 1,460.000 165 2,650.000 2,401.000 166 1,850.000 1,755.000 167 1,850.000 1,600.000 168 1,700.000 1,190.000 169 700.000 695.000 170 1,585.000 1,405.000 171 1,450.000 1,435.000 172 950.000 890.000 173 1,450.000 1,150.000 174 1,475.000 1,225.000 175 1,450.000 1,335.000 176 1,550.000 1,180.000 177 1,425.000 1,343.000 178 1,365.000 1,005.000 179 1,475.000 1,378.000 180 1,750.000 1,624.000 181 1,625.000 1,600.000 182 1,900.000 1,625.000 183 1,450.000 1,425.000 184 1,550.000 1,310.000 185 1,275.000 1,200.000

(13)

338

NO PENDAPATAN PENGELUARAN 186 1,200.000 1,010.000 187 1,675.000 1,300.000 188 900.000 890.000 189 1,700.000 1,552.000 190 1,700.000 1,667.000 191 1,075.000 1,020.000 192 1,700.000 1,615.000 193 1,800.000 1,760.000 194 700.000 680.000 195 1,300.000 1,105.000 196 600.000 525.000 197 1,575.000 1,557.000 198 1,275.000 1,110.000 199 1,725.000 1,697.000 200 1,425.000 1,395.000

(14)

Lampiran 4. Regresi untuk Z

1,

Z

2,

dan Z

3

Regression

Variables Entered/Removedb X4, X1, X3, X2a . Enter Model 1 Variables Entered Variables Removed Method

All requested variables entered. a. Dependent Variable: Z1 b. Model Summaryb .917a .841 .833 .2790 .847 Model 1 R R Square Adjusted R Square Std. Error of the Estimate Durbin-W atson Predictors: (Constant), X4, X1, X3, X2 a. Dependent Variable: Z1 b. ANOVAb 35.724 4 8.931 114.740 .000a 6.772 87 .078 42.496 91 Regression Residual Total Model 1 Sum of

Squares df Mean Square F Sig.

Predictors: (Constant), X4, X1, X3, X2 a. Dependent Variable: Z1 b. Coefficientsa -.198 .086 -2.296 .024 -.370 -.027 -.016 .016 -.052 -1.001 .320 -.048 .016 .369 .029 1.143 12.625 .000 .310 .427 .037 .018 .115 2.069 .042 .001 .073 -.107 .037 -.279 -2.906 .005 -.181 -.034 (Constant) X1 X2 X3 X4 Model 1 B Std. Error Unstandardized Coefficients Beta Standardi zed Coefficien ts

t Sig. Lower Bound Upper Bound 95% Confidence Interval for B

Dependent Variable: Z1 a.

(15)

Coefficient Correlationsa

1.000 -.009 -.413 -.870

-.009 1.000 -.465 -.104

-.413 -.465 1.000 .347

-.870 -.104 .347 1.000

1.369E-03 -5.20E-06 -2.75E-04 -9.40E-04 -5.20E-06 2.598E-04 -1.35E-04 -4.88E-05 -2.75E-04 -1.35E-04 3.239E-04 1.825E-04 -9.40E-04 -4.88E-05 1.825E-04 8.520E-04 X4 X1 X3 X2 X4 X1 X3 X2 Correlations Covariances Model 1 X4 X1 X3 X2 Dependent Variable: Z1 a. Casewise Diagnosticsa 4.372 2.51 3.197 1.90 Case Number 57 58 Std. Residual Z1 Dependent Variable: Z1 a. Residuals Statisticsa -1.0646 2.4318 1.1248 .6266 92 -.7754 1.2197 .0000 .2728 92 -3.494 2.086 .000 1.000 92 -2.779 4.372 .000 .978 92 Predicted Value Residual Std. Predicted Value Std. Residual

Minimum Maximum Mean Std. Deviation N

(16)

Regression

All requested variables entered. a. Dependent Variable: Z2 b. Model Summaryb .979a _.959 _.957 _.0850 _.745 Model 1 R R Square Adjusted R Square Std. Error of the Estimate Durbin-W atson Predictors: (Constant), X4, X1, X3, X2 a. Dependent Variable: Z2 b. ANOVAb 14.730 4 3.683 509.671 .000a .629 87 .007 15.359 91 Regression Residual Total Model 1 Sum of

Predictors: (Constant), X4, X1, X3, X2 a. Dependent Variable: Z2 b. Coefficientsa .157 .026 5.963 .000 .105 .209 .001 .005 .006 .234 .816 -.009 .011 .156 .009 .804 17.521 .000 .138 .173 -.008 .005 -.044 -1.546 .126 -.019 .002 .048 .011 .205 4.220 .000 .025 .070 (Constant) X1 X2 X3 X4 Model 1 B Std. Error Unstandardized Coefficients Beta Standardi zed Coefficien ts

(17)

1.000 -.009 -.413 -.870

-.009 1.000 -.465 -.104

-.413 -.465 1.000 .347

-.870 -.104 .347 1.000

1.271E-04 -4.83E-07 -2.55E-05 -8.72E-05 -4.83E-07 2.411E-05 -1.25E-05 -4.53E-06 -2.55E-05 -1.25E-05 3.006E-05 1.694E-05 -8.72E-05 -4.53E-06 1.694E-05 7.908E-05 X4 X1 X3 X2 X4 X1 X3 X2 Correlations Covariances Model 1 X4 X1 X3 X2 Dependent Variable: Z2 a. Casewise Diagnosticsa -3.038 .76 Case Number 13 Std. Residual Z2 Dependent Variable: Z2 a. Residuals Statisticsa -.4922 1.8581 1.0971 .4023 92 -.2582 .2123 .0000 .0831 92 -3.950 1.892 .000 1.000 92 -3.038 2.497 .000 .978 92 Predicted Value Residual Std. Predicted Value Std. Residual

(18)

Regression

All requested variables entered. a. Dependent Variable: Z3 b. Model Summaryb .926a _.858 _.851 _.0076 _.763 Model 1 R R Square Adjusted R Square Std. Error of the Estimate Durbin-W atson Predictors: (Constant), X4, X1, X3, X2 a. Dependent Variable: Z3 b. ANOVAb .030 4 .008 131.055 .000a .005 87 .000 .035 91 Regression Residual Total Model 1 Sum of

Predictors: (Constant), X4, X1, X3, X2 a. Dependent Variable: Z3 b. Coefficientsa .018 .002 7.771 .000 .014 .023 .001 .000 .113 2.308 .023 .000 .002 -.003 .001 -.329 -3.849 .000 -.005 -.001 .001 .000 .106 2.019 .047 .000 .002 .012 .001 1.089 12.005 .000 .010 .014 (Constant) X1 X2 X3 X4 Model 1 B Std. Error Unstandardized Coefficients Beta Standardi zed Coefficien ts

t Sig. Lower Bound Upper Bound

95% Confidence Interval for B

(19)

1.000 -.009 -.413 -.870

-.009 1.000 -.465 -.104

-.413 -.465 1.000 .347

-.870 -.104 .347 1.000

1.009E-06 -3.83E-09 -2.03E-07 -6.93E-07

-3.83E-09 1.914E-07 -9.94E-08 -3.59E-08

-2.03E-07 -9.94E-08 2.387E-07 1.345E-07

-6.93E-07 -3.59E-08 1.345E-07 6.279E-07

X4 X1 X3 X2 X4 X1 X3 X2 Correlations Covariances Model 1 X4 X1 X3 X2 Dependent Variable: Z3 a. Residuals Statisticsa -.0174 .0956 .0672 .0182 92 -.0192 .0149 .0000 .0074 92 -4.655 1.562 .000 1.000 92 -2.534 1.963 .000 .978 92 Predicted Value Residual Std. Predicted Value Std. Residual

(20)

Regression

Variables Entered/Removedb Z1, X3, X1, X4, X2a . Enter Model 1 Variables Entered Variables Removed Method

All requested variables entered. a. Dependent Variable: Z2 b. Model Summaryb .984a _.968 _.966 _.0758 _.792 Model 1 R R Square Adjusted R Square Std. Error of the Estimate Durbin-W atson Predictors: (Constant), Z1, X3, X1, X4, X2 a. Dependent Variable: Z2 b. ANOVAb 14.865 5 2.973 517.534 .000a .494 86 .006 15.359 91 Regression Residual Total Model 1 Sum of

Predictors: (Constant), Z1, X3, X1, X4, X2 a. Dependent Variable: Z2 b. Coefficientsa .185 .024 7.651 .000 .137 .233 .003 .004 .018 .777 .439 -.005 .012 .104 .013 .536 7.784 .000 .077 .130 -.014 .005 -.071 -2.741 .007 -.024 -.004 .063 .011 .271 5.958 .000 .042 .084 .141 .029 .234 4.840 .000 .083 .199 (Constant) X1 X2 X3 X4 Z1 Model 1 B Std. Error Unstandardized Coefficients Beta Standardi zed Coefficien ts

(21)

Coefficient Correlationsa 1.000 -.217 .107 .297 -.804 -.217 1.000 -.475 -.449 .376 .107 -.475 1.000 .023 -.147 .297 -.449 .023 1.000 -.733 -.804 .376 -.147 -.733 1.000

8.483E-04 -3.16E-05 1.369E-05 9.119E-05 -3.13E-04 -3.16E-05 2.508E-05 -1.05E-05 -2.37E-05 2.510E-05 1.369E-05 -1.05E-05 1.939E-05 1.088E-06 -8.64E-06 9.119E-05 -2.37E-05 1.088E-06 1.108E-04 -1.03E-04 -3.13E-04 2.510E-05 -8.64E-06 -1.03E-04 1.781E-04 Z1 X3 X1 X4 X2 Z1 X3 X1 X4 X2 Correlations Covariances Model 1 Z1 X3 X1 X4 X2 Dependent Variable: Z2 a. Residuals Statisticsa -.6015 1.8620 1.0971 .4042 92 -.2207 .1803 .0000 .0737 92 -4.203 1.893 .000 1.000 92 -2.912 2.379 .000 .972 92 Predicted Value Residual Std. Predicted Value Std. Residual

(22)

Regression

Variables Entered/Removedb Z2, X3, X1, Z1, X4, X2a . Enter Model 1 Variables Entered Variables Removed Method

All requested variables entered. a. Dependent Variable: Z3 b. Model Summaryb .938a _.880 _.871 _.0070 _.770 Model 1 R R Square Adjusted R Square Std. Error of the Estimate Durbin-W atson Predictors: (Constant), Z2, X3, X1, Z1, X4, X2 a. Dependent Variable: Z3 b. ANOVAb .031 6 .005 103.508 .000a .004 85 .000 .035 91 Regression Residual Total Model 1 Sum of

Predictors: (Constant), Z2, X3, X1, Z1, X4, X2 a. Dependent Variable: Z3 b. Coefficientsa .026 .003 8.799 .000 .020 .031 .001 .000 .130 2.810 .006 .000 .002 .001 .002 .088 .506 .614 -.002 .004 .000 .000 .046 .871 .386 -.001 .001 .015 .001 1.318 12.545 .000 .012 .017 .006 .003 .215 2.017 .047 .000 .012 -.039 .010 -.825 -3.930 .000 -.059 -.019 (Constant) X1 X2 X3 X4 Z1 Z2 Model 1 B Std. Error Unstandardized Coefficients Beta Standardi zed Coefficien ts

(23)

348

Coefficient Correlationsa 1.000 .283 -.083 -.463 -.541 -.643 .283 1.000 -.477 -.315 -.516 .094 -.083 -.477 1.000 .133 .065 -.059 -.463 -.315 .133 1.000 .472 -.249 -.541 -.516 .065 .472 1.000 -.125 -.643 .094 -.059 -.249 -.125 1.000

1.005E-04 1.380E-06 -3.44E-07 -1.42E-05 -6.31E-06 -1.04E-05

1.380E-06 2.357E-07 -9.52E-08 -4.68E-07 -2.91E-07 7.374E-08

-3.44E-07 -9.52E-08 1.688E-07 1.668E-07 3.098E-08 -3.90E-08

-1.42E-05 -4.68E-07 1.668E-07 9.332E-06 1.677E-06 -1.23E-06

-6.31E-06 -2.91E-07 3.098E-08 1.677E-06 1.354E-06 -2.35E-07

-1.04E-05 7.374E-08 -3.90E-08 -1.23E-06 -2.35E-07 2.624E-06

Z2 X3 X1 Z1 X4 X2 Z2 X3 X1 Z1 X4 X2 Correlations Covariances Model 1 Z2 X3 X1 Z1 X4 X2 Dependent Variable: Z3 a. Residuals Statisticsa -.0227 .0905 .0672 .0184 92 -.0206 .0129 .0000 .0068 92 -4.882 1.266 .000 1.000 92 -2.927 1.831 .000 .966 92 Predicted Value Residual Std. Predicted Value Std. Residual

(24)

Lampiran 5. Perhitungan Koefisien Gini Ratio

Perhitungan Koefisien Gini untuk Sektor Pertanian

Kelas Pendapatan

(Rp) F

%

_Tengah

Kelas

Total Y

%

_Y

%

Kum

Y

%

F

%

Kum

F

Yi-Yi-1

(Pi)

Qi-Qi+1

(Qi)

Pi x Qi

600000-827500 3 6

713750

2141250

2.82

6

6 827500-1055000 3 6

941250

2823750

3.72

6.54

6 12 6

9.36

56.14 1055000-1282500 5 10

1168750

5843750

7.69

14.23

10 22 10

20.77

207.67 1282500-1510000 13 26 1396250 18151250

23.90

38.13

26 48 26

52.36 1361.32

1510000-1737500 17 34 1623750 27603750

36.34

74.47

34 82 34 112.60

3828.33

1737500-1965000 6 12

1851250 11107500

14.62

89.09

12 94 12 163.56

1962.77

1965000 -2192500

0 0 2078750

0

0.00

89.09

0

94 0 178.19

0.00 2192500 -2420000

0 0 2306250

0

0.00

89.09

0

94 0 178.19

0.00 2420000-2647500 0 0

2533750

0

0.00

89.09

0 94 0 178.19

0.00 2647500-2875000 3 6

2761250

8283750

10.91 100.00

6 100 6 189.09

1134.56

50 100

75955000

100

100 8550.78

Sumber: Hasil penelitian



 







k i i i i

Q

P

1 1

000 .

10 )

(

1 Gini Ratio =

= 1- 0.86

=

0.14 Pi : persentase rumahtangga atau penduduk pada kelas ke-i

Qi : persentase kumulatif total pendapatan atau pengeluaran sampai kelas ke-i

Nilai gini ratio berkisar antara 0 dan 1, jika:

G < 0,3

→ ketimpangan rendah

0,3 ≤ G ≤ 0,5

→ ketimpangan sedang

(25)

Perhitungan Koefisien Gini untuk Sektor Industri

Kelas Pendapatan

(Rp)

F %

Kelas

Tengah

Total Y

%

Y

%

Kum

Y

%

F

%

Kum

F

Yi-Yi-1

(Pi)

Qi-Qi+1

(Qi)

Pi x Qi

900000-1510000 6

12 1205000

7230000

4.84

12

12 1510000-2120000 10 20

1815000

18150000

12.16

17.00

20

32

20

21.84

436.81 2120000-2730000 7 14

2425000

16975000

11.37

28.37

14

46

14

45.37

635.11 2730000-3340000 9 18

3035000

27315000

18.29

46.66

18

64

18

75.03 1350.51

3340000-3950000 7 14

3645000

25515000

17.09

63.75

14

78 14 110.41

1545.76

3950000-4560000 6 12

4255000

25530000

17.10

80.85

12

90 12 144.60

1735.18

4560000-5170000 2 4

4865000

9730000

6.52

87.37

4

94 4 168.21

672.86 5170000-5780000 1 2

5475000

3.67

91.03

2

96 2 178.40

356.79 5780000-6390000 0 0

6085000

0

0.00

91.03

0

96 0 182.06

0.00 5780000-6390000 2 4

6695000

13390000

8.97 100.00

4

100 4 191.03

764.13 50 100

149310000

100

100 7497.15



 







k i i i i

Q

P

1 1

000 .

10 )

(

1 Gini Ratio =

= 1- 0.75

=

0.25 Pi : persentase rumahtangga atau penduduk pada kelas ke-i

Qi : persentase kumulatif total pendapatan atau pengeluaran sampai kelas ke-i

Nilai gini ratio berkisar antara 0 dan 1, jika:

G < 0,3

→ ketimpangan rendah

0,3 ≤ G ≤ 0,5

→ ketimpangan sedang

(26)

Perhitungan Koefisien Gini untuk Sektor Keuangan

Kelas Pendapatan

(Rp)

F %

Kelas

Tengah

Total Y

%

Y

%

Kum

Y

%

F

%

Kum

F

Yi-Yi-1

(Pi)

Qi-Qi+1

(Qi)

Pi x Qi

2200000-2980000 8 16

2590000

20720000

9.87

16

16 2980000-3760000 19 38

3370000

64030000

30.51

40.39

38

54

38

50.26 1909.96

3760000-4540000 8 16

4150000

33200000

15.82

56.21

16

70

16

96.60 1545.56

4540000-5320000 6 12

4930000

29580000

14.10

70.31

12

82 12 126.52

1518.19

5320000-6100000 3 6

5710000

17130000

8.16

78.47

6

88 6 148.78

892.65 6100000-6880000 2 4

6490000

12980000

6.19

84.65

4

92 4 163.12

652.50 6880000-7660000 2 4

7270000

14540000

6.93

91.58

4

96 4 176.24

704.96 7660000-8440000 1 2

8050000

3.84

95.42

2

98 2 187.00

374.01 8440000-9220000 0 0

8830000

0

0.00

95.42

0

98 0 190.84

0.00 9220000-10000000 1 2

9610000

4.58 100.00

2

100 2 195.42

390.84 50 100

209840000

100

100 7988.66



 







k i i i i

Q

P

1 1

000 .

10 )

(

1 Gini Ratio =

= 1- 0.80

=

0.20 Pi : persentase rumahtangga atau penduduk pada kelas ke-i

Qi : persentase kumulatif total pendapatan atau pengeluaran sampai kelas ke-i

Nilai gini ratio berkisar antara 0 dan 1, jika:

G < 0,3

→ ketimpangan rendah

0,3 ≤ G ≤ 0,5

→ ketimpangan sedang

(27)

Perhitungan Koefisien Gini untuk Sektor Perdagangan

Kelas Pendapatan

(Rp)

F %

Kelas

Tengah

Total Y

%

Y

%

Kum

Y

%

F

%

Kum

F

Yi-Yi-1

(Pi)

Qi-Qi+1

(Qi)

Pi x Qi

900000-1510000

8 16

1205000

9640000

6.46

16

16 1510000-2120000

10 20

1815000

18150000

12.16

18.61

20

36

20

25.07

501.37 2120000-2730000

6 12

2425000

14550000

9.74

28.36

12

48

12

46.97

563.63 2730000-3340000

8 16

3035000

24280000

16.26

44.62

16

64

16

72.98 1167.61

3340000-3950000

6 12

3645000

21870000

14.65

59.27

12

76 12 103.88

1246.61

3950000-4560000

4 8

4255000

17020000

11.40

70.67

8

84 8 129.93

1039.45

4560000-5170000

4 8

4865000

19460000

13.03

83.70

8

92 8 154.36

1234.91

5170000-5780000

2 4

5475000

10950000

7.33

91.03

4

96 4 174.73

698.92 5780000-6390000

0 0

6085000

0

0.00

91.03

0

96 0 182.06

0.00 6390000-7000000

2 4

6695000

13390000

8.97 100.00

4

100 4 191.03

764.13

50

100 149310000

100

100 7216.64



 







k i i i i

Q

P

1 1

000 .

10 )

(

1 Gini Ratio

= 1- 0.72

=

0.28 Pi : persentase rumahtangga atau penduduk pada kelas ke-i

Qi : persentase kumulatif total pendapatan atau pengeluaran sampai kelas ke-i

Nilai gini ratio berkisar antara 0 dan 1, jika:

G < 0,3

→ ketimpangan rendah

0,3 ≤ G ≤ 0,5

→ ketimpangan sedang

(28)

353 Perhitungan Koefisien Gini untuk Semua Sektor

Kelas Pendapatan

(Rp)

F %

Kelas

Tengah

Total Y

%

Y

%

Kum

Y

%

F

%

Kum

F

Yi-Yi-1

(Pi)

Qi-Qi+1

(Qi)

Pi x Qi

600000-1540000 32

16.00 1070000

34240000

5.28 5.28 16.00

16.00 1540000-2480000 41

20.50 2010000

82410000

12.71 17.99 20.50

36.50

20.50

23.28

477.15 2480000-3420000 44

22.00 2950000 129800000

20.02 38.02 22.00

58.50

22.00

56.01 1232.21

3420000-4360000 37

18.50 3890000 143930000

22.20 60.22 18.50

77.00

18.50

98.23 1817.33

4360000-5300000 28

14.00 4830000 135240000

20.86 81.08 14.00

91.00 14.00 141.30

1978.16

5300000-6240000

7 3.50 5770000

40390000

6.23

87.31 3.50 94.50

3.50 168.39

589.36 6240000-7180000

5 2.50 6710000

33550000

5.18

92.48 2.50 97.00

2.50 179.79

449.49 7180000-8120000

4 2.00 7650000

30600000

4.72

97.20 2.00 99.00

2.00 189.69

379.38 8120000-9060000

1 0.50 8590000

8590000

1.33

98.53 0.50 99.50

0.50 195.73

97.87 9060000-10000000 1 0.5

9530000

1.47 100.00

0.50

100.00 0.50 198.53

99.26

200

100 648280000

100

100 7120.20

Gini Ratio =

= 1- 0.71

=

0.29 Pi : persentase rumahtangga atau penduduk pada kelas ke-i

Qi : persentase kumulatif total pendapatan atau pengeluaran sampai kelas ke-i

Nilai gini ratio berkisar antara 0 dan 1, jika:

G < 0,3

→ ketimpangan rendah

0,3 ≤ G ≤ 0,5

→ ketimpangan sedang

G > 0,5

→ ketimpangan tinggi



 







k i i i i

Q

P

1 1

000 .

10 )

(

1