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All Journal Djtechno: Jurnal Teknologi Informasi Jurnal Riset Teknik Komputer
Loka, Nalendra Pradipta
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Industrial & Manufacturing Engineering Other

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OPTIMALISASI BISNIS MELALUI ARTIFICIAL INTELLIGENCE DENGAN ANALISIS PELUANG, TANTANGAN DAN DAMPAK DI BERBAGAI SEKTOR MENGGUNAKAN SYSTEMATIC LITERATURE REVIEW Razaqi, Ahmad Wildan; Loka, Nalendra Pradipta; Yudha, Muhammad Alfian Handi
Djtechno: Jurnal Teknologi Informasi Vol 5, No 3 (2024): Desember
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/djtechno.v5i3.5172

Abstract

Perkembangan pesat Kecerdasan Buatan (AI) membawa perubahan signifikan dalam dunia bisnis, terutama dalam meningkatkan efisiensi operasional dan inovasi. Namun, adopsi teknologi ini tidak terlepas dari tantangan teknis, ekonomi, dan etika yang kompleks. Penelitian ini bertujuan untuk mengidentifikasi peluang, manfaat, serta hambatan implementasi AI di berbagai sektor bisnis dengan pendekatan Systematic Literature Review (SLR). Menggunakan sumber-sumber terindeks dari tahun 2019 hingga 2023, penelitian ini menyaring 30 artikel untuk memberikan wawasan komprehensif tentang dampak teknologi AI di sektor bisnis. Temuan utama menunjukkan adopsi AI telah berkembang pesat di negara maju, meskipun terdapat kendala dalam hal biaya implementasi, infrastruktur teknologi, serta isu privasi data. Studi ini juga memberikan rekomendasi untuk penelitian lanjutan dan praktik bisnis di era digital.
PERSEPSI KONSUMEN TERHADAP FITUR AUGMENTED REALITY SHOPEE DAN DAMPAKNYA TERHADAP KEPUASAN SERTA NIAT PEMBELIAN Febryan, Putra Hikmah; Loka, Nalendra Pradipta; Indonesia, Haikal Lentera; Aulia, Virdha Rahma
Jurnal Riset Teknik Komputer Vol. 2 No. 2 (2025): Juni : Jurnal Riset Teknik Komputer (JURTIKOM)
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/dh6jpp47

Abstract

The development of Augmented Reality (AR) technology in the e-commerce sector offers new opportunities to enhance online shopping experiences through immersive and interactive features. This study aims to analyze the influence of AR characteristics—interactivity, vividness, novelty, and informativeness—on consumer perceptions (perceived enjoyment, perceived usefulness, and hedonic value), and how these perceptions affect attitudes, satisfaction, and purchase intention on the Shopee platform. A quantitative approach was employed, with data collected from 100 active Shopee users who have experienced using AR features. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that most AR characteristics significantly affect consumer perception. Furthermore, perceived enjoyment, usefulness, and hedonic value were found to influence user attitudes and satisfaction, ultimately increasing purchase intention. This study contributes theoretically to the understanding of AR integration in consumer behavior within e-commerce, and provides practical implications for businesses in designing immersive technology-based marketing strategies.
Co-Authors Aulia, Virdha Rahma Febryan, Putra Hikmah Indonesia, Haikal Lentera Razaqi, Ahmad Wildan Yudha, Muhammad Alfian Handi