MetodeTopsis

2
grade creteria 1 sangat buruk jark dr pasar 2 buruk kepadatan penduduk 3 cukup jarak dri pabrik 4 baik jarak dg gudang 5 sangat baik harga tanah tabel keputusan c1 c2 c3 c4 c5 a1 2 2 2 4 5 a2 4 4 3 3 2 a3 2 3 2 4 4 a4 3 4 5 5 3 5.7446 6.7082 6.4807 8.1240 7.3485 tabel keputusan ternormalisai c1 c2 c3 c4 c5 a1 0.3482 0.2981 0.3086 0.4924 0.6804 a2 0.6963 0.5963 0.4629 0.3693 0.2722 a3 0.3482 0.4472 0.3086 0.4924 0.5443 a4 0.5222 0.5963 0.7715 0.6155 0.4082 bobot 4 5 3 5 2 tabel keputusan ternormalisasi berbobot c1 c2 c3 c4 c5 a1 1.3926 1.4907 0.9258 2.4618 1.3608 a2 2.7852 2.9814 1.3887 1.8464 0.5443 a3 1.3926 2.2361 0.9258 2.4618 1.0887 a4 2.0889 2.9814 2.3146 3.0773 0.8165 max 2.7852 2.9814 2.3146 3.0773 1.3608 min 1.3926 1.4907 0.9258 1.8464 0.5443 D1+ 2.5434 D1- 1.0225 D2+ 1.7433 D2- 2.0919 D3+ 2.2083 D3- 1.1093 D4+ 0.8838 D4- 2.4950 V1 0.2867 V2 0.5454 V3 0.3344

description

Adalah modul dalam pengertian metode topsis

Transcript of MetodeTopsis

Page 1: MetodeTopsis

grade creteria1 sangat buruk jark dr pasar2 buruk kepadatan penduduk3 cukup jarak dri pabrik4 baik jarak dg gudang5 sangat baik harga tanah

tabel keputusanc1 c2 c3 c4 c5

a1 2 2 2 4 5a2 4 4 3 3 2a3 2 3 2 4 4a4 3 4 5 5 3

5.7446 6.7082 6.4807 8.1240 7.3485

tabel keputusan ternormalisaic1 c2 c3 c4 c5

a1 0.3482 0.2981 0.3086 0.4924 0.6804a2 0.6963 0.5963 0.4629 0.3693 0.2722a3 0.3482 0.4472 0.3086 0.4924 0.5443a4 0.5222 0.5963 0.7715 0.6155 0.4082

bobot4 5 3 5 2

tabel keputusan ternormalisasi berbobotc1 c2 c3 c4 c5

a1 1.3926 1.4907 0.9258 2.4618 1.3608a2 2.7852 2.9814 1.3887 1.8464 0.5443a3 1.3926 2.2361 0.9258 2.4618 1.0887a4 2.0889 2.9814 2.3146 3.0773 0.8165

max2.7852 2.9814 2.3146 3.0773 1.3608

min1.3926 1.4907 0.9258 1.8464 0.5443

D1+ 2.5434 D1- 1.0225D2+ 1.7433 D2- 2.0919D3+ 2.2083 D3- 1.1093D4+ 0.8838 D4- 2.4950

V1 0.2867V2 0.5454V3 0.3344

Page 2: MetodeTopsis

V4 0.7384