Analisis MCDM — Pemilihan Mobil Listrik
⚠️ Catatan: kriteria C2 Jarak, C3 Baterai, C4 Charging khas mobil listrik. Mobil non-listrik umumnya tak punya data ini sehingga terlewati. Scope ini hanya bermakna jika kriteria disesuaikan.
37 mobil · 7 kriteria · ranking: SAW, WP, TOPSIS, VIKOR, Hybrid.
Bobot Kriteria
Tabel Bobot
| Kriteria | Entropy | CRITIC | Hybrid |
|---|---|---|---|
| C1 · Harga | 0.2667 | 0.2115 | 0.3683 |
| C2 · Jarak Tempuh | 0.0572 | 0.1208 | 0.0451 |
| C3 · Kapasitas Baterai | 0.1180 | 0.1158 | 0.0892 |
| C4 · Waktu Pengisian | 0.1183 | 0.1795 | 0.1386 |
| C5 · Daya Maksimum | 0.2217 | 0.1242 | 0.1798 |
| C6 · Torsi | 0.1802 | 0.1265 | 0.1488 |
| C7 · Kapasitas Penumpang | 0.0380 | 0.1218 | 0.0302 |
Hybrid = Entropy × CRITIC lalu dinormalkan (Σ=1).
Peringkat Mobil — bobot HYBRID
Perbandingan 5 metode ranking. Kolom Hybrid = konsensus (rata-rata peringkat SAW, WP, TOPSIS, VIKOR); tabel diurutkan menurut Hybrid.
| # | Mobil | SAW | WP | TOPSIS | VIKOR | Hybrid |
|---|---|---|---|---|---|---|
| 1 | BYD Seal | 3 | 3 | 1 | 1 | 1 |
| 2 | Polytron G3+ Series | 4 | 1 | 2 | 2 | 2 |
| 3 | MG 4 EV | 9 | 2 | 4 | 11 | 3 |
| 4 | Hyundai Kona Electric | 10 | 6 | 8 | 6 | 4 |
| 5 | BYD Atto 3 | 13 | 5 | 3 | 13 | 5 |
| 6 | MG ZS EV | 12 | 4 | 6 | 15 | 6 |
| 7 | Changan Deepal S07 | 17 | 8 | 7 | 8 | 7 |
| 8 | Maxus Mifa 7 | 16 | 9 | 10 | 5 | 8 |
| 9 | BYD Dolphin | 11 | 7 | 9 | 14 | 9 |
| 10 | Hyundai Ioniq 5 | 22 | 12 | 11 | 9 | 10 |
| 11 | Maxus Mifa 9 | 18 | 16 | 15 | 7 | 11 |
| 12 | Kia EV9 | 7 | 18 | 30 | 3 | 12 |
| 13 | MG Cyberster | 6 | 19 | 32 | 4 | 13 |
| 14 | Wuling Cloud EV | 19 | 10 | 12 | 20 | 14 |
| 15 | Changan Deepal S05 | 26 | 15 | 5 | 19 | 15 |
| 16 | Neta X | 21 | 11 | 13 | 23 | 16 |
| 17 | GWM Ora 03 BEV | 20 | 13 | 14 | 24 | 17 |
| 18 | Hyundai Ioniq 6 | 14 | 21 | 27 | 10 | 18 |
| 19 | Neta V-II | 15 | 14 | 17 | 27 | 19 |
| 20 | Wuling Air EV | 5 | 20 | 22 | 30 | 20 |
| 21 | DFSK Seres E1 | 2 | 22 | 23 | 32 | 21 |
| 22 | Toyota bZ4X | 28 | 23 | 19 | 17 | 22 |
| 23 | VinFast VF e34 | 27 | 17 | 16 | 31 | 23 |
| 24 | Volvo EX30 | 29 | 25 | 21 | 16 | 24 |
| 25 | BMW iX1 | 23 | 27 | 31 | 12 | 25 |
| 26 | DFSK Gelora Electric | 25 | 24 | 18 | 33 | 26 |
| 27 | MINI Electric | 24 | 28 | 28 | 21 | 27 |
| 28 | Nissan Leaf | 33 | 26 | 20 | 22 | 28 |
| 29 | BMW i7 | 1 | 31 | 36 | 36 | 29 |
| 30 | MINI Electric Cooper | 31 | 29 | 29 | 18 | 30 |
| 31 | Suzuki e-Vitara | 36 | 30 | 25 | 25 | 31 |
| 32 | Mercedes Benz EQS SUV | 8 | 37 | 37 | 37 | 32 |
| 33 | Mitsubishi L100 EV | 30 | 32 | 24 | 34 | 33 |
| 34 | Mercedes Benz EQA | 32 | 34 | 34 | 26 | 34 |
| 35 | Citroen E-C3 | 35 | 33 | 26 | 35 | 35 |
| 36 | Mercedes Benz EQB | 34 | 35 | 35 | 28 | 36 |
| 37 | Citroen E-C4 | 37 | 36 | 33 | 29 | 37 |
Analisis Kemiripan Peringkat
Seberapa mirip hasil peringkat antar-metode. Nilai mendekati 1 = makin mirip. rw = weighted Spearman; WS = rank similarity coefficient (Sałabun) — keduanya menekankan kesesuaian pada posisi atas.
Koefisien rw (weighted Spearman)
| SAW | WP | TOPSIS | VIKOR | HYBRID | |
|---|---|---|---|---|---|
| SAW | 1.000 | 0.501 | 0.277 | 0.375 | 0.591 |
| WP | 0.501 | 1.000 | 0.924 | 0.660 | 0.962 |
| TOPSIS | 0.277 | 0.924 | 1.000 | 0.512 | 0.858 |
| VIKOR | 0.375 | 0.660 | 0.512 | 1.000 | 0.803 |
| HYBRID | 0.591 | 0.962 | 0.858 | 0.803 | 1.000 |
Koefisien WS (Sałabun)
| SAW | WP | TOPSIS | VIKOR | HYBRID | |
|---|---|---|---|---|---|
| SAW | 1.000 | 0.406 | 0.312 | 0.258 | 0.441 |
| WP | 0.880 | 1.000 | 0.957 | 0.883 | 0.966 |
| TOPSIS | 0.885 | 0.942 | 1.000 | 0.930 | 0.980 |
| VIKOR | 0.921 | 0.874 | 0.838 | 1.000 | 0.944 |
| HYBRID | 0.909 | 0.956 | 0.986 | 0.953 | 1.000 |
Ringkasan. Kemiripan peringkat antar-metode tergolong cukup (rata-rata rw = 0.646, WS = 0.811).
Pasangan metode paling mirip: WP ↔ HYBRID (rw = 0.962); paling berbeda: SAW ↔ TOPSIS (rw = 0.277). Kemiripan yang beragam menunjukkan hasil cukup sensitif terhadap pilihan metode, sehingga metode Hybrid (konsensus) disarankan sebagai acuan keputusan akhir.