Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Jurnal Penelitian Teknologi Informasi dan Sains
Yohan Rayhan
Sekolah Tinggi Intelijen Negara
Computer Science & IT

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Penerapan Kecerdasan Buatan terhadap Keputusan Pembelian di E-Commerce: Analisis Bibliometrik (2018–2026) Devani Claudia Lumban Gaol; Alifi Yuli Setyanto; Yohan Rayhan
Jurnal Penelitian Teknologi Informasi dan Sains Vol. 4 No. 3 (2026): September: JURNAL PENELITIAN TEKNOLOGI INFORMASI DAN SAINS (JPTIS)
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jptis.v4i3.4676

Abstract

 The integration of artificial intelligence (AI) in the e-commerce ecosystem is expanding rapidly, yet a comprehensive mapping that links this technology to consumer purchase decision constructs remains limited. This study aims to map publication trends, intellectual structures, and research gaps within this domain. The method employed is a bibliometric analysis of 499 refined documents retrieved from the Google Scholar database using Publish or Perish software for the 2018–2026 period. Data analysis includes performance analysis and science mapping via VOSviewer software. The results reveal a sharp growth trajectory in publications since 2023, peaking with 201 documents in 2025. Co-word analysis uncovers ten thematic clusters bifurcated into two conceptual poles: the marketing-behavioral pole (focusing on trust, purchase intention, loyalty, and social commerce) and the technical-AI pole (focusing on sentiment analysis, NLP, transformers, and recommender systems). Temporal overlay visualization identifies generative AI and AI-driven personalization as the latest research frontiers. A critical knowledge gap is identified in the scarcity of integrated empirical studies capturing the Indonesian digital market context. These findings provide significant theoretical implications and serve as an empirical foundation for future research agendas, including systematic literature reviews and quantitative model testing.
Co-Authors Alifi Yuli Setyanto Devani Claudia Lumban Gaol