Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
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This Author published in this journals
All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) International Journal Science and Technology (IJST) International Journal Multidisciplinary Science
Hari Setiabudi Husni
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Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Social Sciences

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Journal : International Journal Multidisciplinary Science

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Customer Experience And Satisfaction: The Impact Of Augmented Reality In Online Shopping Michelle Alicia Lynch; William Leo Walangitan; Aaron Kennedy; Hari Setiabudi Husni
International Journal Multidisciplinary Science Vol. 4 No. 1 (2025): February: International Journal Multidisciplinary Science
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/ijml.v4i1.2058

Abstract

The rapid growth of e-commerce presents challenges related to limited product visualization and customer engagement, which refers to the degree to which customers feel actively involved in the online shopping experience. Augmented Reality (AR) technology has the potential to offer an innovative solution by providing an immersive shopping experience that makes customers feel as if they are interacting directly with products through virtual simulations. This research aims to explore how AR can provide a deeper customer experience and satisfaction in online shopping, such as realistically visualizing products before purchase, with an example application of the "try before you buy" feature (virtual try-on) in online shopping applications. The approach to be used in this research is quantitative, with data collection from AR users in online shopping activities. The research results are not yet obtained and are in the conceptual stage, it is hoped that this research can reveal opportunities for the use of AR as a strategic technology that can support more attractive and efficient online shopping activities. Recommendations that can be made for the future include the need for valid data collection and analysis, and the use of appropriate methodologies to explore the effectiveness of AR in greater depth. Future research topics can explore the influence of AR on customer preferences based on specific types of products or categories in online shopping.
AI-Driven Applications for Psychological Counseling: Global Trends and Impacts Tissa Maharani; Hari Setiabudi Husni
International Journal Multidisciplinary Science Vol. 5 No. 1 (2026): February: International Journal Multidisciplinary Science
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/ijml.v5i1.2548

Abstract

The integration of Artificial Intelligence (AI) in psychological counseling has accelerated, especially through mobile and web-based platforms. AI-based systems such as chatbots, virtual therapists, and intelligent monitoring tools have transformed how individuals access mental health services. These technologies offer scalable, real-time support, reduce stigma barriers, and augment the work of human counselors. However, critical questions remain regarding their accuracy, ethical risks, cultural relevance, and emotional authenticity. This study applies a Systematic Literature Review (SLR) guided by the PRISMA method to synthesize peer-reviewed research on the forms, functions, and impacts of AI implementation in psychological counseling from 2016 to 2026. The review includes 25 valid references, with 80% drawn from online scientific journals and over half from international sources. Findings show that AI tools are widely used for mental health screening, psychoeducation, and therapy delivery. Positive impacts include accessibility and cost-efficiency, while negative concerns involve data privacy, algorithmic bias, and trustworthiness. Both counselor and user perspectives reveal a complex interplay between digital convenience and human empathy. The study concludes that while AI is a promising support mechanism in mental health services, it must be applied with cultural sensitivity, ethical safeguards, and professional integration. This review provides a foundation for future research and policy development concerning AI’s responsible role in psychological support systems.
Co-Authors Aaron Kennedy Ade Anugrah Henny Hendarti Michelle Alicia Lynch Tangkas Udiono Tissa Maharani William Leo Walangitan