Jurnal Teknologi Informasi dan Multimedia
Vol. 5 No. 3 (2023): November

Analisis Perbandingan User Experience pada Website dan Aplikasi Mobile Shopee Menggunakan UEQ

Sandi Prasetyaningsih (Politeknik Negeri Batam)
Salsa Putri Nabila Muchtar (Politeknik Negeri Batam)



Article Info

Publish Date
08 Sep 2023

Abstract

In the midst of technological developments that are always advancing, the internet is one of the things that makes life easier. The internet itself produces products that are useful for daily activities, for example websites and applications. These two products have many types of usage categories, one of which is e-commerce. E-commerce (electronic commerce) provides a different shopping experience for consumers. One of the e-commerce that is developing in Indonesia is Shopee. Shopee has 2 (two) versions, a mobile application and a website. In this case, of course, the layout of the user interface provided is definitely different. Different layouts certainly provide a different user experience. The purpose of this research is to analyze and evaluate user experience and to find out user perceptions and interaction problems experienced by users when using mobile applications and the Shopee website. This study uses 2 (two) research methods, namely user experience questionnaire and Focus Group Discussion. The results of this analysis show that the mobile application and Shopee website have significant values ??for each parameter. Both Shopee platforms only have 4 (four) of the 6 (six) parameters that reach 0.8. This shows that the Shopee mobile application and the Shopee website have their own strengths and weaknesses in terms of user experience.

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Journal Info

Abbrev

jtim

Publisher

Subject

Computer Science & IT

Description

Cakupan dan ruang lingkup JTIM terdiri dari Databases System, Data Mining/Web Mining, Datawarehouse, Artificial Integelence, Business Integelence, Cloud & Grid Computing, Decision Support System, Human Computer & Interaction, Mobile Computing & Application, E-System, Machine Learning, Deep Learning, ...