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All Journal Jurnal Sistem Cerdas Ekonomi dan Bisnis: Berkala Publikasi Gagasan Konseptual, Hasil Penelitian, Kajian, dan Terapan Teori
M. Zacky
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Automotive Engineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering

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English English: English M. Zacky; Nur Futri Ayu Jelita; Nayla Husna Ryanda; Angranini, Angraini
Ekonomi dan Bisnis: Berkala Publikasi Gagasan Konseptual, Hasil Penelitian, Kajian, dan Terapan Teori Vol. 28 No. 1 (2024): Ekonomi dan Bisnis: Berkala Publikasi Gagasan Konseptual, Hasil Penelitian, Ka
Publisher : Jurusan Ilmu Ekonomi Prodi Ekonomi Pembangunan Fakultas Bisnis dan Ekonomika Universitas Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24123/jeb.v28i1.6478

Abstract

Shopee is one of the largest online marketplaces in Indonesia that conducts the buying and selling process through mobile phones and adopts the concept of social media shopping. As the number of Shopee users increases, the challenges and problems increase, as does the quality of service and system accuracy. User interface (UI) plays an important role in shaping user purchase intent. Various previous studies have studied and identified user interface factors that affect Shopee consumer satisfaction, but there is still more information that can be utilized towards comprehensively understanding and analyzing the trends in UI evaluation methods used, as well as trends in UI factors that affect consumer satisfaction, and factors that affect Shopee consumers' purchase intention. Thus, a systematic review of the literature is needed. A total of 120 peer-reviewed research studies were conducted on the research topic of the impact of user interface on shopee application satisfaction published between 2019-2023 and extracted 30 relevant articles from the discussion of inclusion and exclusion criteria. The results of this study found that service quality is the main factor compared to advertisements and free shipping used in evaluating shopee, and user-friendly factors are in the main position that affects the purchase intention of the shopee application. This study provides further research topics that need to be studied further regarding advertising and free shipping in influencing consumer purchase intention seen from the UI on the shopee application.
The Role of Artificial Intelligence in Building a Culture of Knowledge Sharing among Students and University Students Suarni Norawati; Akmal Andri Yantama; M. Zacky
Jurnal Sistem Cerdas Vol. 8 No. 3 (2025)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v8i3.583

Abstract

This study examines the role of Artificial Intelligence (AI) in fostering a culture of knowledge sharing and enhancing knowledge management among students and university learners in the digital learning environment. Using a quantitative explanatory approach, data were collected from 100 respondents who actively used AI-based applications such as ChatGPT, Grammarly, and Copilot in their academic activities. The data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) with SmartPLS 4.0. The results reveal that AI has a significant direct effect on knowledge management (β = 0.316, p = 0.000) and a strong positive influence on knowledge sharing behavior (β = 0.851, p = 0.000). Furthermore, knowledge sharing significantly mediates the relationship between AI and knowledge management (β = 0.611, p = 0.000), indicating that AI’s greatest impact occurs through the enhancement of collaborative knowledge exchange among learners. The model explains 80.3% of the variance in knowledge management and 72.3% in knowledge sharing, demonstrating strong predictive power. These findings highlight AI’s potential as a collaborative catalyst that strengthens human-centered learning ecosystems. The study contributes both theoretically by extending the understanding of AI-mediated knowledge processes—and practically by providing insights for educators to integrate AI ethically and effectively into knowledge-based learning systems
Co-Authors Akmal Andri Yantama Angranini, Angraini Nayla Husna Ryanda Norawati, Suarni Nur Futri Ayu Jelita