Integrasi Augmented Reality dan Analisis Pola String untuk Meningkatkan Pengalaman Berbelanja Produk Secara Online

Abstract

Online shopping is an activity with significant limitations compared to offline or in-person shopping. One of these limitations is the inability to view products directly before making a purchase decision. This challenge can be addressed with Augmented Reality (AR) technology, which provides a visual representation of how products appear in the real world through the buyer's mobile device. Augmented Reality (AR) is a technology that delivers 3D visual representations, making objects appear as though they are situated in a real-world environment. This research utilizes string pattern analysis as a method to extract product dimensions from a specified website. The string analysis produces regular expressions (regex) containing product dimension patterns, which can be used to identify product sizes from lengthy strings. The regex implementation is deployed on a Python server to simplify the application's workflow. This application leverages ARCore from Unity as its engine for mobile devices. The study reveals that application users rated it 90.41% in terms of usability, 86.66% for ease of use, and 89.52% for satisfaction. Therefore, it can be concluded that the application resulting from the integration of augmented reality and string pattern analysis is feasible for enhancing the online shopping experience.