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Edward Brainard Pranata
Universitas Tarumanagara
Computer Science & IT

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Utilizing ORB Algorithm in Web-Based Sales Application Edward Brainard Pranata; Tony Tony
Journal of Information System and Informatics Vol 6 No 1 (2024): March
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i1.671

Abstract

E-commerce has become common and important for businesses, but Jaya Sentosa Store has not implemented it. E-commerce commonly has only a search by keyword feature, but that cannot replicate Jaya Sentosa Store order process. An image-based search is needed to replicate the order process. Our research purpose is to develop a web-based sales application and an image search feature for Jaya Sentosa Store. We apply Scrum when developing this application. We use Javascript (JS) programming language. Back-end and front-end development employ Express JS and React JS framework, respectively. To get the right feature-matching algorithm, we conduct a test between the SIFT, KAZE, and ORB algorithms. We write Python scripts to implement ORB algorithm in image-based search feature. Our test shows that the ORB algorithm has the fastest average running time, i.e., 3.415 s, compared to SIFT and KAZE. Black box testing of the sales application shows that all cases are valid. It means that our application can replicate Jaya Sentosa Store order process and gain a competitive advantage.
Co-Authors Tony Tony