Analisis perbandingan kota menggunakan metode AHP dan SAW
| No | Nama Kota | UMR | Waktu Tempuh | Armada | Kendaraan Pribadi |
|---|---|---|---|---|---|
| 1 | Bandung | Rp 4.208.000 | 1957.00 detik | 30.000 | 2.360.000 |
| 2 | Medan | Rp 3.768.000 | 1923.00 detik | 2.000 | 3.690.000 |
| 3 | Palembang | Rp 3.680.000 | 1675.00 detik | 25.000 | 1.640.000 |
| 4 | Surabaya | Rp 4.728.000 | 1619.00 detik | 15.350 | 3.810.000 |
| 5 | Jakarta | Rp 5.397.000 | 1531.00 detik | 1.000.000 | 24.356.669 |
AHP (Analytic Hierarchy Process): Metode untuk menentukan bobot kriteria berdasarkan perbandingan berpasangan.
SAW (Simple Additive Weighting): Metode untuk menghitung skor preferensi akhir berdasarkan normalisasi dan bobot kriteria.
| Peringkat | Nama Kota | Skor Preferensi | Detail Kriteria |
|---|---|---|---|
| 1 | Jakarta | 0.865968 | |
Detail Perhitungan Jakarta:
C1:
514.0000 →
0.8697 ×
0.4217 =
0.366758
C2:
1,531.0000 →
1.0000 ×
0.3349 =
0.334900
C3:
1,000,000.0000 →
1.0000 ×
0.1586 =
0.158600
C4:
24,356,669.0000 →
0.0673 ×
0.0848 =
0.005710
|
|||
| 2 | Surabaya | 0.777334 | |
Detail Perhitungan Surabaya:
C1:
591.0000 →
1.0000 ×
0.4217 =
0.421700
C2:
1,619.0000 →
0.9456 ×
0.3349 =
0.316697
C3:
15,350.0000 →
0.0154 ×
0.1586 =
0.002435
C4:
3,810,000.0000 →
0.4304 ×
0.0848 =
0.036502
|
|||
| 3 | Palembang | 0.723101 | |
Detail Perhitungan Palembang:
C1:
460.0000 →
0.7783 ×
0.4217 =
0.328227
C2:
1,675.0000 →
0.9140 ×
0.3349 =
0.306109
C3:
25,000.0000 →
0.0250 ×
0.1586 =
0.003965
C4:
1,640,000.0000 →
1.0000 ×
0.0848 =
0.084800
|
|||
| 4 | Bandung | 0.701006 | |
Detail Perhitungan Bandung:
C1:
526.0000 →
0.8900 ×
0.4217 =
0.375320
C2:
1,957.0000 →
0.7823 ×
0.3349 =
0.261999
C3:
30,000.0000 →
0.0300 ×
0.1586 =
0.004758
C4:
2,360,000.0000 →
0.6949 ×
0.0848 =
0.058929
|
|||
| 5 | Medan | 0.640713 | |
Detail Perhitungan Medan:
C1:
471.0000 →
0.7970 ×
0.4217 =
0.336076
C2:
1,923.0000 →
0.7962 ×
0.3349 =
0.266631
C3:
2,000.0000 →
0.0020 ×
0.1586 =
0.000317
C4:
3,690,000.0000 →
0.4444 ×
0.0848 =
0.037689
|
|||