Treffer: Metode Multi-Objective Optimization by Rasio Analysis (MOORA) Untuk Sistem Pendukung Keputusan Dalam Pemilihan Mobil Listrik Terbaik.

Title:
Metode Multi-Objective Optimization by Rasio Analysis (MOORA) Untuk Sistem Pendukung Keputusan Dalam Pemilihan Mobil Listrik Terbaik. (Indonesian)
Alternate Title:
Multi-Objective Optimization by Ratio Analysis (MOORA) Method for Decision Support System in Selecting the Best Electric Car. (English)
Source:
Indonesian Journal of Statistics & Its Applications; Dec2024, Vol. 8 Issue 2, p129-131, 3p
Database:
Complementary Index

Weitere Informationen

The implementation of the Multi-Objective Optimization by Ratio Analysis (MOORA) method has been successfully applied to select the best electric car. The results showed that the implementation of the MOORA method successfully ranked 10 types of electric cars with 8 types of criteria, namely: battery capacity, battery charging speed, comfort features, safety features, mileage, maximum speed, price, and power. The application of Moora algorithm is based on 4 stages, namely: determination of criteria values, preparation of decision matrix, normalization and optimization of attributes, and determination of rankings. The results of applying the MOORA method rank 10 types of electric cars in order: Toyota BZ 4X, Hyundai ionic 5 2022, Cherry omodo E5 2024, Wuling cloud EV, Vinvost VF5, Nissan leaf 2021, Kia EV5 2023, BYD Dolphin, Wuling binguo EV, Wuling air EV 2022. When there is an addition and subtraction of criteria, there is a change in ranking. The results of the best electric car ranking are displayed on a website with Javascript and PHP programming which contains a dashboard page, criteria page, data page, and ranking page. Calculations on the website system have been validated with the Excell application resulting in 100% accuracy. [ABSTRACT FROM AUTHOR]

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