SISTEM PENDUKUNG KEPUTUSAN REKOMENDASI PEMILIHAN SEPEDA LISTRIK VOLTA DENGAN IMPLEMENTASI METODE MULTI-OBJECTIVE OPTIMIZATION ON THE BASIS OF RATIO ANALYSIS (MOORA) BERBASIS WEBSITE

Salmen Menda, Haldy (2023) SISTEM PENDUKUNG KEPUTUSAN REKOMENDASI PEMILIHAN SEPEDA LISTRIK VOLTA DENGAN IMPLEMENTASI METODE MULTI-OBJECTIVE OPTIMIZATION ON THE BASIS OF RATIO ANALYSIS (MOORA) BERBASIS WEBSITE. Thesis thesis, Institut Teknologi Dirgantara Adisutjipto.

	Text (ABSTRAK) 16030087_ABSTRAK.pdf Download (183kB)
	Text (BAB I) 16030087_BAB 1.pdf Download (191kB)
	Text (DAFTAR PUSTAKA) 16030087_DAFTAR PUSTAKA.pdf Download (187kB)
	Text (FULL SKRIPSI) 16030087_compressed.pdf Restricted to Repository staff only Download (2MB)

Abstract

Because there are many types of Voltaic electric bicycles at this time, these users feel confused about choosing a Voltaic electric bicycle with various types, namely type 100, type 101, type 202, type 203, type 301, type 302 which one is the right one to choose. One way to overcome this problem is to have a method that can later provide selection recommendations for making the right decision. This research aims to design and build a recommendation system application for choosing a Voltaic electric bicycle by applying the Multi-objective Optimization On The Basis Of Ratio Analysis (MOORA) method which can solve problems by optimizing two or more conflicting attributes. As for the criteria in considering the selection of Voltaic electric bicycles in this study, namely Speed, Mileage, Motor, Battery, Price, and Warranty. The results of this study are in the form of a website based Voltaic electric bicycle selection recommendation system application that can provide recommendations to users as consideration for decision making with the results of manual calculation testing and the system is suitable with the highest ranking results, namely A6 (Voltaan electric bicycle type 302) with the results 0.373 and testing on various devices have been able to run with a display feasibility test from users that is very feasible with a percentage of 83.4%.

Actions (login required)

View Item

Downloads