Online ISSN: 2515-8260

Keywords : Progressive web application


Genetic Algorithm Adaptation To Optimize Smartphone Recommendation System (Srcs)

Khyrina Airin Fariza Abu Samah; Nursalsabiela Affendy Azam; Raseeda Hamzah; Chew Chiou Sheng; Lala Septem Riza

European Journal of Molecular & Clinical Medicine, 2021, Volume 8, Issue 2, Pages 78-90

This paper describes a preliminary study on adapting the genetic algorithm (GA)
in recommending smartphones based on the user’s preferences and budget. Different
smartphones that came with different specifications have caused broader choices for the
user. Amid thousands of smartphone advertisements from numerous brands, buyers have a
hard time deciding which smartphone matches their desire. Hence, this research aimed to
design and develop a progressive web application (PWA) recommendation system to
purchase a smartphone using the Genetic Algorithm (GA). PWA allowed users to choose
any platform to input the smartphone specification preferences and budget. With the
inputs, it processed through GA and resulting in a list of optimum suggestions. The system
features are proven functioning well and managed to receive good system usability of
87.2%.