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All Journal Jurnal Teknologi dan Bisnis Cerdas
Fibrilya Herman, Radika
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science

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OPTIMALISASI E-COMMERCE MELALUI TEKNOLOGI WEB MODERN (NEXT.JS, LARAVEL, DSB) SYSTEMATIC LITERATURE REVIEW Pratama, Denis; Umi Kalsum, Andi; Fibrilya Herman, Radika; Fitri, Anisa; Dewi, Kharisma; Tribuana, Dhimas
Jurnal Teknologi dan Bisnis Cerdas Vol 1 No 3 (2025): Volume 1 Nomor 3 (Desember 2025)
Publisher : Plexi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64476/jtbc.v1i3.17

Abstract

The development of modern web technologies has become one of the strategic factors in improving the performance and competitiveness of e-commerce platforms in the digital era. This study employs a Systematic Literature Review (SLR) approach based on the PRISMA 2020 guidelines. A total of 20 articles published between 2020 and 2025 were identified as eligible for analysis. This review aims to identify development patterns, key contributions, research gaps, and future research directions related to the optimization of e-commerce using modern web technologies such as Next.js, Laravel, React.js, and Node.js. The synthesis results reveal five major clusters: (1) Performance Optimization & SEO Enhancement, (2) Scalability & System Architecture, (3) User Experience & Interface Design, (4) Security & Data Protection, and (5) Integration & Digital Empowerment for SMEs. The findings emphasize that the success of e-commerce optimization is not solely dependent on the adoption of modern frameworks, but also on the synergistic integration of system architecture, business strategies, and user experience.
Co-Authors Dewi, Kharisma Dhimas Tribuana Fitri, Anisa Pratama, Denis Umi Kalsum, Andi