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

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

Jumlah pendapatan

Rp.…………..…/bulan

Universitas Sumatera Utara

D. Pengeluaran Konsumsi

1. Pengeluaran konsumsi RT


2. Pengeluaran biaya perumahan (sewa + asuransi) a. Sewa rumah


b. Asuransi rumah


c. Perawatan rumah

Rp.…………..…/bulan Jumlah

Rp. ……………/bulan

3. Pengeluaran biaya pemakaian listrik


4. Pengeluaran biaya pemakaian air PDAM


5. Pengeluaran pemakaian biaya : a. Telepon


b. HP



6. Pengeluaran biaya pemakaian minyak/gas (kompor) a. Minyak tanah


b. Gas



7. Pengeluaran biaya kesehatan a. Asuransi kesehatan Rp.…………..…/bulan b. Asuransi perawatan Rp.…………..…/bulan c. Dan lain-lain



8. Pengeluaran biaya pendidikan (Biaya pendidikan anak, istri, suami dan keluarga Rp.…………..…/bulan a. Biaya buku


b. Jajan


c. Transportasi


d. Baju sekolah


e. Asuransi pendidikan Rp.…………..…/bulan f. Uang sekolah (SPP) Rp.…………..…/bulan Jumlah



328

9. Pengeluaran biaya transportasi kerja (BBM)


10. Pengeluaran iuran sosial (STM, dll)


11. Pengeluaran untuk angsuran kredit


a. Mobil


b. Honda


c. TV


d. Dan lain-lain



12. Pengeluaran biaya prime asuransi a. Jiwa


b. Kebakaran


c. Dan lain-lain


13. Pengeluaran Pajak Bumi dan Bangunan (PBB)

Rp.…………..…/bulan Rp.…………..…/bulan

14. Retribusi sampah a. Kebersihan


b. Keamanan



15. Biaya pengeluaran hari raya/tahun baru (pakaian + kue)




Lampiran 2 Data Interpolasi Pertumbuhan Sektor Pertanian, Sektor Perindustrian, Sektor Perdagangan, Sektor Keuangan, Jumlah Kesempatan Kerja, Pertumbuhan Ekonomi, dan Distribusi Pendapatan No 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44

X1 1.96 2.02 2.08 2.14 3.57 3.3 3.02 2.74 7.29 6.54 5.79 5.04 1.52 2.37 3.21 4.05 7.96 7.02 6.08 5.14 5.48 5.67 5.87 6.06 2.13 2.79 3.46 4.12 6.93 6.24 5.55 4.86 5.19 5.32 5.45 5.58 4.07 4.31 4.55 4.79 -1 -0.01 0.97 1.96

X2 5.01 5.21 5.42 5.62 4.92 4.99 5.06 5.13 6.29 6.06 5.83 5.6 4.59 4.84 5.08 5.33 3.86 4.06 4.26 4.46 4.8 4.69 4.57 4.45 5.28 5.16 5.05 4.93 1.63 2.26 2.89 3.52 2.87 2.82 2.77 2.71 5.55 5.05 4.55 4.05 5.31 5.21 5.12 5.03

X3 5.13 5.25 5.37 5.49 2.6 3.09 3.58 4.08 5.2 4.86 4.53 4.19 4.08 4.19 4.31 4.42 3.22 3.41 3.59 3.78 4.3 4.16 4.01 3.87 6.82 6.32 5.82 5.33 10 9.28 8.57 7.86 3.02 4.1 5.17 6.24 3.64 3.82 4 4.18 1.71 2.11 2.51 2.91

X4 5.38 5.5 5.62 5.74 4.72 4.87 5.03 5.18 6.44 6.17 5.9 5.63 3.76 4.17 4.59 5 3.82 3.92 4.02 4.12 4.47 4.38 4.29 4.2 5.81 5.54 5.27 5.01 3.27 3.66 4.04 4.43 4.37 4.27 4.18 4.08 5.12 4.96 4.79 4.63 5.65 5.51 5.37 5.23

Z1 1.28 1.34 1.4 1.46 1.16 1.2 1.23 1.27 1.73 1.64 1.54 1.45 0.95 1.07 1.19 1.3 0.8 0.86 0.92 0.98 0.95 0.94 0.93 0.92 1.57 1.45 1.34 1.22 0.38 0.57 0.75 0.94 0.75 0.73 0.72 0.7 0.63 0.65 0.67 0.68 1.18 1.08 0.99 0.89

Z2 1.27 1.31 1.35 1.38 0.95 1.02 1.08 1.15 1.62 1.51 1.41 1.31 0.76 0.89 1.02 1.15 0.89 0.9 0.91 0.92 0.96 0.95 0.94 0.93 1.24 1.18 1.13 1.08 0.54 0.65 0.76 0.87 0.84 0.81 0.79 0.77 1.08 1.03 0.98 0.93 1.38 1.31 1.24 1.17

Z3 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.08 0.08 0.07 0.07 0.08 0.08 0.08 0.08 0.08 0.08 0.08 0.08 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07


330

No 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92

X1 2.39 2.04 1.69 1.35 8.13 6.99 5.85 4.71 -1.38 0.04 1.46 2.88 1.39 1.27 1.16 1.04 8.33 7.04 5.74 4.45 1.11 2.07 3.03 3.99 3.07 2.97 2.88 2.79 2.41 2.5 2.6 2.69 9.05 7.87 6.69 5.5 0.44 1.68 2.93 4.17 2.82 2.73 2.64 2.54 5.3 4.83 4.35 3.87

X2 0.93 1.7 2.47 3.24 9.02 7.76 6.5 5.24 -3.21 -1.33 0.55 2.43 4.49 3.61 2.72 1.83 5.6 5.16 4.71 4.27 0.29 1.13 1.98 2.82 7.27 6.23 5.19 4.15 6.81 6.61 6.41 6.21 6.72 6.68 6.64 6.6 7.88 7.66 7.44 7.22 7.41 7.44 7.46 7.49 6.63 6.78 6.93 7.08

X3 1.78 1.88 1.97 2.07 4.67 4.17 3.67 3.17 -2.14 -1.04 0.07 1.17 0.74 0.52 0.29 0.07 2.6 2.2 1.8 1.4 2.34 2.28 2.22 2.16 4.93 4.45 3.96 3.47 3.08 3.28 3.49 3.69 6.64 6.05 5.45 4.86 0.6 1.54 2.47 3.41 0.04 0.4 0.75 1.11 3.16 2.69 2.22 1.75

X4 3.47 3.83 4.19 4.54 6.85 6.33 5.82 5.3 -3.48 -1.74 0 1.73 1.59 1.14 0.7 0.25 6.92 5.83 4.74 3.65 2.82 3.27 3.71 4.16 6.27 5.77 5.26 4.75 5.69 5.66 5.62 5.59 5.83 5.79 5.76 5.73 6.67 6.51 6.34 6.18 6.29 6.31 6.34 6.36 5.43 5.59 5.76 5.92

Z1 0 0.19 0.37 0.56 2.46 2.06 1.66 1.27 -1.84 -1.17 -0.49 0.18 2.51 1.9 1.3 0.69 0.92 1.04 1.17 1.29 -0.03 0.18 0.38 0.59 1.73 1.47 1.2 0.94 1.59 1.55 1.5 1.45 1.53 1.53 1.53 1.53 2.06 1.96 1.87 1.77 1.84 1.86 1.87 1.88 1.79 1.8 1.81 1.83

Z2 0.35 0.52 0.68 0.85 1.91 1.67 1.43 1.19 -0.48 -0.11 0.26 0.63 1.08 0.9 0.71 0.53 1.45 1.34 1.22 1.1 0.28 0.46 0.64 0.82 1.58 1.4 1.21 1.02 1.43 1.4 1.38 1.36 1.41 1.4 1.4 1.4 1.67 1.62 1.57 1.52 1.57 1.58 1.58 1.59 1.49 1.5 1.52 1.54

Z3 0.07 0.07 0.07 0.07 0.08 0.08 0.08 0.08 -0.02 0 0.01 0.03 0.03 0.02 0.02 0.01 0.1 0.08 0.07 0.05 0.04 0.04 0.05 0.06 0.09 0.08 0.07 0.06 0.06 0.06 0.07 0.07 0.07 0.07 0.07 0.07 0.09 0.08 0.08 0.08 0.08 0.08 0.08 0.08 0.08 0.08 0.08 0.08


Lampiran 3. Data Responden Tentang Pendapatan Dan Pengeluaran Antar Sektor Wilayah Kota Medan SEKTOR PERDAGANGAN (A) independen dependen 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

SEKTOR KEUANGAN (B) NO 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40

PENDAPATAN 2,200.000 7,500.000 6,600.000 2,500.000 4,000.000 5,000.000 2,750.000 3,000.000 2,500.000 2,500.000 5,000.000 4,500.000 5,000.000 3,500.000 5,700.000 3,500.000 3,000.000 3,000.000 3,600.000 3,500.000 4,100.000 3,500.000 8,500.000 10,000.000 7,300.000 2,500.000 3,500.000 5,250.000 3,750.000 3,500.000 3,250.000 5,750.000 3,200.000 3,600.000 4,500.000 2,750.000 4,200.000 3,200.000 4,250.000 4,250.000

PENGELUARAN 1,210.000 4,769.500 4,780.000 1,770.000 1,820.000 1,735.000 2,305.000 1,570.000 2,085.000 2,360.000 2,865.000 3,200.000 3,315.000 2,185.000 3,574.500 2,910.000 1,805.000 2,300.000 2,366.000 2,300.000 2,880.000 1,465.000 7,415.000 5,030.000 3,643.000 1,550.000 3,230.000 3,835.000 2,810.000 3,450.000 2,885.000 3,825.000 3,120.000 1,992.000 2,710.000 2,300.000 2,975.000 2,265.000 2,720.000 2,900.000


NO 41 42 43 44 45 46 47 48 49 50

PENDAPATAN 1,850.000 2,000.000 1,750.000 2,000.000 1,500.000 1,500.000 2,250.000 2,100.000 2,750.000 4,500.000

PENGELUARAN 1,580.000 1,802.500 1,280.000 1,782.000 1,250.000 1,360.000 1,657.500 2,080.000 2,022.500 3,597.000

NO 41 42 43 44 45 46 47 48 49 50

PENDAPATAN 6,000.000 3,500.000 2,750.000 6,250.000 5,000.000 4,500.000 5,250.000 3,000.000 3,200.000 3,000.000

PENGELUARAN 4,331.000 2,305.000 2,340.000 3,380.000 3,455.000 2,655.000 3,310.000 2,745.000 2,230.000 2,270.000

SEKTOR INDUSTRI (C)

SEKTOR PERTANIAN (D)

NO 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31

NO 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31

PENDAPATAN 8,000.000 2,000.000 7,500.000 3,500.000 5,000.000 4,500.000 4,500.000 3,000.000 5,500.000 5,000.000 3,500.000 4,000.000 4,000.000 5,000.000 4,000.000 5,000.000 3,000.000 2,200.000 4,000.000 5,000.000 6,000.000 6,000.000 4,000.000 4,800.000 2,500.000 3,800.000 3,450.000 2,000.000 2,000.000 1,750.000 3,200.000

PENGELUARAN 4,302.500 1,863.500 4,773.500 2,255.800 3,963.500 2,232.500 2,363.000 2,310.000 5,003.500 4,581.500 3,230.000 3,055.000 2,916.500 4,200.000 3,781.500 2,826.500 1,852.500 1,970.000 2,631.900 4,826.600 2,370.000 3,956.500 2,498.500 3,105.000 2,155.000 2,585.500 2,195.000 1,950.000 1,865.000 1,700.000 2,547.000

PENDAPATAN 2,765.000 1,670.000 1,890.000 1,730.000 1,660.000 1,685.000 1,030.000 1,725.000 1,465.000 1,475.000 1,210.000 2,875.000 1,400.000 1,600.000 2,650.000 1,850.000 1,850.000 1,700.000 700.000 1,585.000 1,450.000 950.000 1,450.000 1,475.000 1,450.000 1,550.000 1,425.000 1,365.000 1,475.000 1,750.000 1,625.000

PENGELUARAN 2,395.000 1,620.000 1,788.000 1,682.000 1,641.000 1,513.000 970.000 1,722.500 1,307.500 1,448.000 1,135.000 2,297.500 1,295.000 1,460.000 2,401.000 1,755.000 1,600.000 1,190.000 695.000 1,405.000 1,435.000 890.000 1,150.000 1,225.000 1,335.000 1,180.000 1,343.000 1,005.000 1,378.000 1,624.000 1,600.000


NO 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50

PENDAPATAN 2,500.000 2,000.000 4,750.000 2,500.000 2,750.000 4,600.000 2,750.000 2,750.000 3,000.000 3,750.000 3,800.000 3,750.000 4,500.000 6,500.000 4,750.000 3,250.000 3,500.000 3,500.000 2,750.000

PENGELUARAN 1,875.000 1,850.000 2,915.000 1,630.000 2,215.000 3,500.000 2,393.000 1,595.000 2,410.000 2,567.000 2,315.000 2,129.500 2,692.500 3,629.000 2,700.000 2,540.000 2,330.000 2,385.000 1,775.000

NO 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50

PENDAPATAN 1,900.000 1,450.000 1,550.000 1,275.000 1,200.000 1,675.000 900.000 1,700.000 1,700.000 1,075.000 1,700.000 1,800.000 700.000 1,300.000 600.000 1,575.000 1,275.000 1,725.000 1,425.000

PENGELUARAN 1,625.000 1,425.000 1,310.000 1,200.000 1,010.000 1,300.000 890.000 1,552.000 1,667.000 1,020.000 1,615.000 1,760.000 680.000 1,105.000 525.000 1,557.000 1,110.000 1,697.000 1,395.000


Data Responden Tentang Pendapatan Dan Pengeluaran Wilayah Kota Medan NO 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44

PENDAPATAN 5,000.000 2,500.000 1,200.000 2,500.000 1,200.000 1,200.000 900.000 3,800.000 5,000.000 1,000.000 3,700.000 6,500.000 4,500.000 1,700.000 5,200.000 5,500.000 5,000.000 4,000.000 1,700.000 3,900.000 7,000.000 3,500.000 2,000.000 3,000.000 3,900.000 2,900.000 2,800.000 2,600.000 1,850.000 3,000.000 1,000.000 2,500.000 2,000.000 2,500.000 3,000.000 4,600.000 3,550.000 3,250.000 4,000.000 3,200.000 1,850.000 2,000.000 1,750.000 2,000.000

PENGELUARAN 3,522.500 2,280.000 1,010.000 2,305.000 1,191.000 1,005.000 880.000 1,270.000 2,375.000 985.000 3,302.000 4,700.000 3,375.000 1,030.000 3,330.000 2,805.000 3,688.000 2,810.000 861.000 2,065.000 6,355.000 1,340.000 1,823.000 2,305.000 2,278.000 2,560.000 2,310.000 2,050.000 1,489.000 1,712.000 958.000 1,612.000 1,860.000 1,730.000 2,830.000 3,430.000 2,962.000 2,815.000 3,150.000 2,230.000 1,580.000 1,802.500 1,280.000 1,782.000


NO 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91

PENDAPATAN 1,500.000 1,500.000 2,250.000 2,100.000 2,750.000 4,500.000 8,000.000 2,000.000 7,500.000 3,500.000 5,000.000 4,500.000 4,500.000 3,000.000 5,500.000 5,000.000 3,500.000 4,000.000 4,000.000 5,000.000 4,000.000 5,000.000 3,000.000 2,200.000 4,000.000 5,000.000 6,000.000 6,000.000 4,000.000 4,800.000 2,500.000 3,800.000 3,450.000 2,000.000 2,000.000 1,750.000 3,200.000 2,500.000 2,000.000 4,750.000 2,500.000 2,750.000 4,600.000 2,750.000 2,750.000 3,000.000 3,750.000

PENGELUARAN 1,250.000 1,360.000 1,657.500 2,080.000 2,022.500 3,597.000 4,302.500 1,863.500 4,773.500 2,255.800 3,963.500 2,232.500 2,363.000 2,310.000 5,003.500 4,581.500 3,230.000 3,055.000 2,916.500 4,200.000 3,781.500 2,826.500 1,852.500 1,970.000 2,631.900 4,826.600 2,370.000 3,956.500 2,498.500 3,105.000 2,155.000 2,585.500 2,195.000 1,950.000 1,865.000 1,700.000 2,547.000 1,875.000 1,850.000 2,915.000 1,630.000 2,215.000 3,500.000 2,393.000 1,595.000 2,410.000 2,567.000


NO 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138

PENDAPATAN 3,800.000 3,750.000 4,500.000 6,500.000 4,750.000 3,250.000 3,500.000 3,500.000 2,750.000 2,200.000 7,500.000 6,600.000 2,500.000 4,000.000 5,000.000 2,750.000 3,000.000 2,500.000 2,500.000 5,000.000 4,500.000 5,000.000 3,500.000 5,700.000 3,500.000 3,000.000 3,000.000 3,600.000 3,500.000 4,100.000 3,500.000 8,500.000 10,000.000 7,300.000 2,500.000 3,500.000 5,250.000 3,750.000 3,500.000 3,250.000 5,750.000 3,200.000 3,600.000 4,500.000 2,750.000 4,200.000 3,200.000

PENGELUARAN 2,315.000 2,129.500 2,692.500 3,629.000 2,700.000 2,540.000 2,330.000 2,385.000 1,775.000 1,210.000 4,769.500 4,780.000 1,770.000 1,820.000 1,735.000 2,305.000 1,570.000 2,085.000 2,360.000 2,865.000 3,200.000 3,315.000 2,185.000 3,574.500 2,910.000 1,805.000 2,300.000 2,366.000 2,300.000 2,880.000 1,465.000 7,415.000 5,030.000 3,643.000 1,550.000 3,230.000 3,835.000 2,810.000 3,450.000 2,885.000 3,825.000 3,120.000 1,992.000 2,710.000 2,300.000 2,975.000 2,265.000


NO 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185

PENDAPATAN 4,250.000 4,250.000 6,000.000 3,500.000 2,750.000 6,250.000 5,000.000 4,500.000 5,250.000 3,000.000 3,200.000 3,000.000 2,765.000 1,670.000 1,890.000 1,730.000 1,660.000 1,685.000 1,030.000 1,725.000 1,465.000 1,475.000 1,210.000 2,875.000 1,400.000 1,600.000 2,650.000 1,850.000 1,850.000 1,700.000 700.000 1,585.000 1,450.000 950.000 1,450.000 1,475.000 1,450.000 1,550.000 1,425.000 1,365.000 1,475.000 1,750.000 1,625.000 1,900.000 1,450.000 1,550.000 1,275.000

PENGELUARAN 2,720.000 2,900.000 4,331.000 2,305.000 2,340.000 3,380.000 3,455.000 2,655.000 3,310.000 2,745.000 2,230.000 2,270.000 2,395.000 1,620.000 1,788.000 1,682.000 1,641.000 1,513.000 970.000 1,722.500 1,307.500 1,448.000 1,135.000 2,297.500 1,295.000 1,460.000 2,401.000 1,755.000 1,600.000 1,190.000 695.000 1,405.000 1,435.000 890.000 1,150.000 1,225.000 1,335.000 1,180.000 1,343.000 1,005.000 1,378.000 1,624.000 1,600.000 1,625.000 1,425.000 1,310.000 1,200.000


338

NO 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200

PENDAPATAN 1,200.000 1,675.000 900.000 1,700.000 1,700.000 1,075.000 1,700.000 1,800.000 700.000 1,300.000 600.000 1,575.000 1,275.000 1,725.000 1,425.000

PENGELUARAN 1,010.000 1,300.000 890.000 1,552.000 1,667.000 1,020.000 1,615.000 1,760.000 680.000 1,105.000 525.000 1,557.000 1,110.000 1,697.000 1,395.000


Lampiran 4. Regresi untuk Z 1, Z 2, dan Z 3

Regression Variables Entered/Removedb

Model 1

Variables Entered X4,a X1, X3, X2

Variables Removed

Method .

Enter

a. All requested variables entered. b. Dependent Variable: Z1 Model Summaryb

Model 1

R R Square .917a .841

Adjusted R Square .833

Std. Error of the Estimate .2790

Durbin-W atson .847

a. Predictors: (Constant), X4, X1, X3, X2 b. Dependent Variable: Z1

ANOVAb

Model 1

Regression Residual Total

Sum of Squares 35.724 6.772 42.496

df 4 87 91

Mean Square 8.931 .078

F 114.740

Sig. .000a


Coefficientsa

Model 1 (Constant) X1 X2 X3 X4

Standardi zed Coefficien Unstandardized ts Coefficients B Std. Error Beta -.198 .086 -.016 .016 -.052 .369 .029 1.143 .037 .018 .115 -.107 .037 -.279

t -2.296 -1.001 12.625 2.069 -2.906

95% Confidence Interval for B Sig. Lower Bound Upper Bound .024 -.370 -.027 .320 -.048 .016 .000 .310 .427 .042 .001 .073 .005 -.181 -.034

a. Dependent Variable: Z1


Coefficient Correlationsa Model 1

Correlations

Covariances

X4 X1 X3 X2 X4 X1 X3 X2

X4 1.000 -.009 -.413 -.870 1.369E-03 -5.20E-06 -2.75E-04 -9.40E-04

X1 -.009 1.000 -.465 -.104 -5.20E-06 2.598E-04 -1.35E-04 -4.88E-05

X3 -.413 -.465 1.000 .347 -2.75E-04 -1.35E-04 3.239E-04 1.825E-04

X2 -.870 -.104 .347 1.000 -9.40E-04 -4.88E-05 1.825E-04 8.520E-04


Casewise Diagnosticsa Case Number 57 58

Std. Residual 4.372 3.197

Z1 2.51 1.90

a. Dependent Variable: Z1 Residuals Statisticsa

Predicted Value Residual Std. Predicted Value Std. Residual

Minimum -1.0646 -.7754 -3.494 -2.779

Maximum 2.4318 1.2197 2.086 4.372

Mean 1.1248 .0000 .000 .000

Std. Deviation .6266 .2728 1.000 .978

N 92 92 92 92




Model 1


Variables Removed

Method .

Enter


Model 1

R .979a

R Square .959



Durbin-W atson .745


ANOVAb

Model 1


Sum of Squares 14.730 .629 15.359

df 4 87 91


F 509.671

Sig. .000a

a. Predictors: (Constant), X4, X1, X3, X2 b. Dependent Variable: Z2 Coefficientsa

Model 1 (Constant) X1 X2 X3 X4

Standardi zed Coefficien Unstandardized ts Coefficients B Std. Error Beta .157 .026 .001 .005 .006 .156 .009 .804 -.008 .005 -.044 .048 .011 .205

t 5.963 .234 17.521 -1.546 4.220

Sig. .000 .816 .000 .126 .000

95% Confidence Interval for B Lower Bound Upper Bound .105 .209 -.009 .011 .138 .173 -.019 .002 .025 .070




Correlations

Covariances

X4 X1 X3 X2 X4 X1 X3 X2

X4 1.000 -.009 -.413 -.870 1.271E-04 -4.83E-07 -2.55E-05 -8.72E-05

X1 -.009 1.000 -.465 -.104 -4.83E-07 2.411E-05 -1.25E-05 -4.53E-06

X3 -.413 -.465 1.000 .347 -2.55E-05 -1.25E-05 3.006E-05 1.694E-05

X2 -.870 -.104 .347 1.000 -8.72E-05 -4.53E-06 1.694E-05 7.908E-05


Casewise Diagnosticsa Case Number 13

Std. Residual -3.038

Z2 .76



Minimum -.4922 -.2582 -3.950 -3.038

Maximum 1.8581 .2123 1.892 2.497

Mean 1.0971 .0000 .000 .000

Std. Deviation .4023 .0831 1.000 .978

N 92 92 92 92




Model 1


Variables Removed

Method .

Enter


Model 1




Durbin-W atson .763


ANOVAb

Model 1


Sum of Squares .030 .005 .035

df 4 87 91

Mean Square .008 .000

F 131.055

Sig. .000a

a. Predictors: (Constant), X4, X1, X3, X2 b. Dependent Variable: Z3 Coefficientsa

Model 1

(Constant) X1 X2 X3 X4

Standardi zed Coefficien Unstandardized ts Coefficients B Std. Error Beta .018 .002 .001 .000 .113 -.003 .001 -.329 .001 .000 .106 .012 .001 1.089

t 7.771 2.308 -3.849 2.019 12.005

Sig. .000 .023 .000 .047 .000

95% Confidence Interval for B Lower Bound Upper Bound .014 .023 .000 .002 -.005 -.001 .000 .002 .010 .014




Correlations

Covariances

X4 X1 X3 X2 X4 X1 X3 X2

X4 1.000 -.009 -.413 -.870 1.009E-06 -3.83E-09 -2.03E-07 -6.93E-07

X1 -.009 1.000 -.465 -.104 -3.83E-09 1.914E-07 -9.94E-08 -3.59E-08

X3 -.413 -.465 1.000 .347 -2.03E-07 -9.94E-08 2.387E-07 1.345E-07

X2 -.870 -.104 .347 1.000 -6.93E-07 -3.59E-08 1.345E-07 6.279E-07



Minimum -.0174 -.0192 -4.655 -2.534

Maximum .0956 .0149 1.562 1.963

Mean .0672 .0000 .000 .000

Std. Deviation .0182 .0074 1.000 .978

N 92 92 92 92




Model 1

Variables Entered Z1, X3, X1, a X4, X2

Variables Removed

Method .

Enter


Model 1




Durbin-W atson .792

a. Predictors: (Constant), Z1, X3, X1, X4, X2 b. Dependent Variable: Z2

ANOVAb

Model 1


Sum of Squares 14.865 .494 15.359

df 5 86 91


F 517.534

Sig. .000a

a. Predictors: (Constant), Z1, X3, X1, X4, X2 b. Dependent Variable: Z2 Coefficientsa

Model 1 (Constant) X1 X2 X3 X4 Z1

Standardi zed Coefficien Unstandardized ts Coefficients B Std. Error Beta .185 .024 .003 .004 .018 .104 .013 .536 -.014 .005 -.071 .063 .011 .271 .141 .029 .234

t 7.651 .777 7.784 -2.741 5.958 4.840

Sig. .000 .439 .000 .007 .000 .000

95% Confidence Interval for B Lower Bound Upper Bound .137 .233 -.005 .012 .077 .130 -.024 -.004 .042 .084 .083 .199




Correlations

Covariances

Z1 X3 X1 X4 X2 Z1 X3 X1 X4 X2

Z1 1.000 -.217 .107 .297 -.804 8.483E-04 -3.16E-05 1.369E-05 9.119E-05 -3.13E-04

X3 -.217 1.000 -.475 -.449 .376 -3.16E-05 2.508E-05 -1.05E-05 -2.37E-05 2.510E-05

X1 .107 -.475 1.000 .023 -.147 1.369E-05 -1.05E-05 1.939E-05 1.088E-06 -8.64E-06

X4 .297 -.449 .023 1.000 -.733 9.119E-05 -2.37E-05 1.088E-06 1.108E-04 -1.03E-04

X2 -.804 .376 -.147 -.733 1.000 -3.13E-04 2.510E-05 -8.64E-06 -1.03E-04 1.781E-04



Minimum -.6015 -.2207 -4.203 -2.912

Maximum 1.8620 .1803 1.893 2.379

Mean 1.0971 .0000 .000 .000

Std. Deviation .4042 .0737 1.000 .972

N 92 92 92 92




Model 1

Variables Entered Z2, X3, X1, a Z1, X4, X2

Variables Removed

Method .

Enter


Model 1




Durbin-W atson .770

a. Predictors: (Constant), Z2, X3, X1, Z1, X4, X2 b. Dependent Variable: Z3

ANOVAb

Model 1


Sum of Squares .031 .004 .035

df 6 85 91

Mean Square .005 .000

F 103.508

Sig. .000a

a. Predictors: (Constant), Z2, X3, X1, Z1, X4, X2 b. Dependent Variable: Z3 Coefficientsa

Model 1 (Constant) X1 X2 X3 X4 Z1 Z2

Standardi zed Coefficien Unstandardized ts Coefficients B Std. Error Beta .026 .003 .001 .000 .130 .001 .002 .088 .000 .000 .046 .015 .001 1.318 .006 .003 .215 -.039 .010 -.825

t 8.799 2.810 .506 .871 12.545 2.017 -3.930

Sig. .000 .006 .614 .386 .000 .047 .000

95% Confidence Interval for B Lower Bound Upper Bound .020 .031 .000 .002 -.002 .004 -.001 .001 .012 .017 .000 .012 -.059 -.019



348


Correlations

Covariances

Z2 X3 X1 Z1 X4 X2 Z2 X3 X1 Z1 X4 X2

Z2 X3 X1 Z1 X4 X2 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



Minimum -.0227 -.0206 -4.882 -2.927

Maximum .0905 .0129 1.266 1.831

Mean .0672 .0000 .000 .000

Std. Deviation .0184 .0068 1.000 .966

N 92 92 92 92



Lampiran 5. Perhitungan Koefisien Gini Ratio Perhitungan Koefisien Gini untuk Sektor Pertanian

Kelas Pendapatan (Rp) 600000-827500 827500-1055000 1055000-1282500 1282500-1510000 1510000-1737500 1737500-1965000 1965000 -2192500 2192500 -2420000 2420000-2647500 2647500-2875000

F

%

Kelas Tengah

3 3 5 13 17 6 0 0 0 3 50

6 6 10 26 34 12 0 0 0 6 100

713750 2141250 941250 2823750 1168750 5843750 1396250 18151250 1623750 27603750 1851250 11107500 2078750 0 2306250 0 2533750 0 2761250 8283750 75955000

Total Y

% Y 2.82 3.72 7.69 23.90 36.34 14.62 0.00 0.00 0.00 10.91 100

% Kum Y 2.82 6.54 14.23 38.13 74.47 89.09 89.09 89.09 89.09 100.00

% F 6 6 10 26 34 12 0 0 0 6 100

% Yi-Yi-1 Qi-Qi+1 Kum (Pi) (Qi) F 6 12 6 9.36 22 10 20.77 48 26 52.36 82 34 112.60 94 12 163.56 94 0 178.19 94 0 178.19 94 0 178.19 100 6 189.09

Pi x Qi 56.14 207.67 1361.32 3828.33 1962.77 0.00 0.00 0.00 1134.56 8550.78

Sumber: Hasil penelitian k

Gini Ratio =

1  i 1

Pi (Qi  Qi 1 ) 10 .000

= 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 G > 0,5 → ketimpangan tinggi 175

349


Perhitungan Koefisien Gini untuk Sektor Industri

Kelas Pendapatan (Rp) 900000-1510000 1510000-2120000 2120000-2730000 2730000-3340000 3340000-3950000 3950000-4560000 4560000-5170000 5170000-5780000 5780000-6390000 5780000-6390000

F

%

6 10 7 9 7 6 2 1 0 2 50

12 20 14 18 14 12 4 2 0 4 100

Kelas Tengah 1205000 1815000 2425000 3035000 3645000 4255000 4865000 5475000 6085000 6695000

Total Y

% Y

7230000 18150000 16975000 27315000 25515000 25530000 9730000 5475000 0 13390000 149310000

4.84 12.16 11.37 18.29 17.09 17.10 6.52 3.67 0.00 8.97 100

% Kum Y 4.84 17.00 28.37 46.66 63.75 80.85 87.37 91.03 91.03 100.00

% F 12 20 14 18 14 12 4 2 0 4 100

% Yi-Yi-1 Qi-Qi+1 Pi x Qi Kum (Pi) (Qi) F 12 32 20 21.84 436.81 46 14 45.37 635.11 64 18 75.03 1350.51 78 14 110.41 1545.76 90 12 144.60 1735.18 94 4 168.21 672.86 96 2 178.40 356.79 96 0 182.06 0.00 100 4 191.03 764.13 7497.15


Gini Ratio =

1  i 1

Pi (Qi  Qi 1 ) 10 .000

= 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 G > 0,5 → ketimpangan tinggi

176 Universitas Sumatera Utara

Perhitungan Koefisien Gini untuk Sektor Keuangan


F

%

8 19 8 6 3 2 2 1 0 1 50

16 38 16 12 6 4 4 2 0 2 100

Kelas Tengah 2590000 3370000 4150000 4930000 5710000 6490000 7270000 8050000 8830000 9610000

Total Y

% Y

20720000 64030000 33200000 29580000 17130000 12980000 14540000 8050000 0 9610000 209840000

9.87 30.51 15.82 14.10 8.16 6.19 6.93 3.84 0.00 4.58 100

% Kum Y 9.87 40.39 56.21 70.31 78.47 84.65 91.58 95.42 95.42 100.00

% F 16 38 16 12 6 4 4 2 0 2 100

% Yi-Yi-1 Qi-Qi+1 Pi x Qi Kum (Pi) (Qi) F 16 54 38 50.26 1909.96 70 16 96.60 1545.56 82 12 126.52 1518.19 88 6 148.78 892.65 92 4 163.12 652.50 96 4 176.24 704.96 98 2 187.00 374.01 98 0 190.84 0.00 100 2 195.42 390.84 7988.66


Gini Ratio =

1  i 1

Pi (Qi  Qi 1 ) 10 .000


177


Perhitungan Koefisien Gini untuk Sektor Perdagangan


F

%

8 10 6 8 6 4 4 2 0 2 50

16 20 12 16 12 8 8 4 0 4 100

Kelas Tengah 1205000 1815000 2425000 3035000 3645000 4255000 4865000 5475000 6085000 6695000

Total Y

% Y

9640000 18150000 14550000 24280000 21870000 17020000 19460000 10950000 0 13390000 149310000

6.46 12.16 9.74 16.26 14.65 11.40 13.03 7.33 0.00 8.97 100

% Kum Y 6.46 18.61 28.36 44.62 59.27 70.67 83.70 91.03 91.03 100.00

% F 16 20 12 16 12 8 8 4 0 4 100

% Yi-Yi-1 Qi-Qi+1 Kum (Pi) (Qi) F 16 36 20 25.07 48 12 46.97 64 16 72.98 76 12 103.88 84 8 129.93 92 8 154.36 96 4 174.73 96 0 182.06 100 4 191.03

Pi x Qi 501.37 563.63 1167.61 1246.61 1039.45 1234.91 698.92 0.00 764.13 7216.64


Gini Ratio

1  i 1

Pi (Qi  Qi 1 ) 10 .000



353 Perhitungan Koefisien Gini untuk Semua Sektor


F

%

32 41 44 37 28 7 5 4 1 1 200

16.00 20.50 22.00 18.50 14.00 3.50 2.50 2.00 0.50 0.5 100

Kelas Tengah

Total Y

1070000 34240000 2010000 82410000 2950000 129800000 3890000 143930000 4830000 135240000 5770000 40390000 6710000 33550000 7650000 30600000 8590000 8590000 9530000 9530000 648280000

% Y 5.28 12.71 20.02 22.20 20.86 6.23 5.18 4.72 1.33 1.47 100

% Kum Y 5.28 17.99 38.02 60.22 81.08 87.31 92.48 97.20 98.53 100.00

% F 16.00 20.50 22.00 18.50 14.00 3.50 2.50 2.00 0.50 0.50 100

% Yi-Yi-1 Qi-Qi+1 Kum (Pi) (Qi) F 16.00 36.50 20.50 23.28 58.50 22.00 56.01 77.00 18.50 98.23 91.00 14.00 141.30 94.50 3.50 168.39 97.00 2.50 179.79 99.00 2.00 189.69 99.50 0.50 195.73 100.00 0.50 198.53

Pi x Qi 477.15 1232.21 1817.33 1978.16 589.36 449.49 379.38 97.87 99.26 7120.20


Gini Ratio =

 1  i 1

Pi (Q i  Q i 1 ) 10 .000



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

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