IJIIS: International Journal of Informatics and Information Systems
Vol 5, No 4: December 2022

Analysis of Recommended Mobile Selection Using the Weighted Product Method

Yi, Sora (Unknown)
Jang, Yong-Chul (Unknown)



Article Info

Publish Date
22 Dec 2022

Abstract

Mobile is an electronic telecommunications device that has become a major requirement at this time, which is equipped with the advantages of the features of each device. The number of outputs or new breakthroughs from mobile phone manufacturers makes consumers have to be observant in choosing the right cellphone to use in their activities. Ignorance of the advantages and disadvantages of selected mobile phones can cause harm to consumers who use them based on their respective levels of interest. In this study, an analysis of the calculation of several alternative cell phone data will be carried out based on the criteria/attributes determined using the weighted product method which can solve the problem by multiplying to connect the attribute rating with the weighted attribute in question. It is hoped that this calculation analysis concept can become the foundation of knowledge about the weighted product method, especially in terms of selecting recommendation cellphones, as well as a basic sketch for developing the implementation of the weighted product method into future decision support system application programs.

Copyrights © 2022






Journal Info

Abbrev

IJIIS

Publisher

Subject

Computer Science & IT

Description

The IJIIS is an international journal that aims to encourage comprehensive, multi-specialty informatics and information systems. The Journal publishes original research articles and review articles. It is an open access journal, with free access for each visitor (ijiis.org/index.php/IJIIS/); ...