Kepercayaan Konsumen Terhadap Artificial Intelligence Pada Industri Kecantikan

Authors

  • Safira Fathin Universitas Bina Nusantara
  • Siti Jahroh Universitas Bina Nusantara
  • Kristiurman Jaya Mendrofa Universitas Nias Raya
  • Rosita Noviana Universitas Bina Nusantara
  • Meilina Pudjiani Institut Pertanian Bogor

DOI:

https://doi.org/10.35968/mpu.v16i1.1792

Keywords:

Kecantikan, Kepercayaan Konsumen, Kecerdasan Buatan, Kekhawatiran Privasi, SLR

Abstract

Penelitian ini bertujuan untuk mengidentifikasi faktor-faktor utama yang memengaruhi kepercayaan konsumen terhadap teknologi Artificial Intelligence (AI) dalam industri kecantikan melalui pendekatan Systematic Literature Review (SLR). Studi ini menggunakan metode SLR dengan panduan PRISMA, serta didukung oleh perangkat lunak VOSviewer dan aplikasi Zotero dalam proses identifikasi, pemetaan, dan analisis literatur. Ruang lingkup kajian dibatasi pada artikel jurnal yang terindeks Scopus dan Google Scholar yang diterbitkan pada periode 2019 - 2025. Penelitian ini menelaah 24 artikel ilmiah yang memenuhi kriteria inklusi dan dijadikan sebagai sumber utama sintesis. Analisis literatur menunjukkan bahwa topik yang paling banyak dikaji meliputi kepercayaan konsumen terhadap sistem rekomendasi berbasis AI (9 artikel), pengalaman dan personalisasi pelanggan berbasis AI dan AR (7 artikel), serta pengaruh privasi dan keamanan data terhadap penerimaan teknologi AI (8 artikel). Temuan penelitian menunjukkan bahwa kepercayaan konsumen terhadap AI dibentuk oleh akurasi sistem, transparansi algoritma, pengalaman pengguna, serta pengelolaan data yang etis, yang secara signifikan memengaruhi niat penggunaan dan keputusan pembelian dalam industri kecantikan.

References

Abramova, R. (2025). Ethical and practical aspects of AI implementation in the pharmaceutical industry. International Journal of Pharmaceutical and Healthcare Marketing. Scopus. https://doi.org/10.1108/IJPHM-10-2024-0103

Adawiyah, S. R., Purwandari, B., Eitiveni, I., & Purwaningsih, E. H. (2024). The Influence of AI and AR Technology in Personalized Recommendations on Customer Usage Intention: A Case Study of Cosmetic Products on Shopee. Applied Sciences (Switzerland), 14(13). Scopus. https://doi.org/10.3390/app14135786

Akbar, M. U., Ibrahim, Nabil, S. J., Iqbal, K. A., & Islam, A. (2024). The Influence of Artificial Intelligence on Consumer Trust in E-Commerce: Opportunities and Ethical Challenges. European Journal of Theoretical and Applied Sciences, 2(6), 250–259. https://doi.org/10.59324/ejtas.2024.2(6).20

Ameen, N., Jun-Hwa, J.-H., & Kumar, S. (2022). It’s all part of the customer journey: The impact of augmented reality, chatbots, and social media on the body image and self-esteem of Generation Z female consumers. Psychology and Marketing, 39(11), 2110–2129. Scopus. https://doi.org/10.1002/mar.21715

Burström, T., Parida, V., Lahti, T., & Wincent, J. (2021). AI-enabled business-model innovation and transformation in industrial ecosystems: A framework, model and outline for further research. Journal of Business Research, 127, 85–95. https://doi.org/10.1016/j.jbusres.2021.01.016

Carl, V., & Mihale-Wilson, A. C. (2020). Consumer Privacy Concerns and Preferences for Certification and Accreditation of Intelligent Assistants in the Internet of Things. https://doi.org/10.18420/OIS2020_13

Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2019). Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda. International Journal of Information Management, 48, 63–71. https://doi.org/10.1016/j.ijinfomgt.2019.01.021

Elder, A., Ring, C., Heitmiller, K., Gabriel, Z., & Saedi, N. (2021). The role of artificial intelligence in cosmetic dermatology—Current, upcoming, and future trends. Journal of Cosmetic Dermatology, 20(1), 48–52. https://doi.org/10.1111/jocd.13797

Feng, Y., Chen, H., & Xie, Q. (2024). AI Influencers in Advertising: The Role of AI Influencer-Related Attributes in Shaping Consumer Attitudes, Consumer Trust, and Perceived Influencer–Product Fit. Journal of Interactive Advertising, 24(1), 26–47. Scopus. https://doi.org/10.1080/15252019.2023.2284355

Feng, Y., & Kim, H. J. (2025). Decoding the Trust Matrix: Unraveling Key Predictors of Consumer Trust in AI-Generated Personalized Advertising. Journal of Interactive Advertising, 25(2), 123–138. Scopus. https://doi.org/10.1080/15252019.2025.2468286

Ferrario, A., & Loi, M. (2022). How Explainability Contributes to Trust in AI. 2022 ACM Conference on Fairness Accountability and Transparency, 1457–1466. https://doi.org/10.1145/3531146.3533202

Downloads

Published

2026-01-24

How to Cite

Safira Fathin, Siti Jahroh, Kristiurman Jaya Mendrofa, Rosita Noviana, & Meilina Pudjiani. (2026). Kepercayaan Konsumen Terhadap Artificial Intelligence Pada Industri Kecantikan. JURNAL ILMIAH M-PROGRESS, 16(1), 54–68. https://doi.org/10.35968/mpu.v16i1.1792

Issue

Vol. 16 No. 1 (2026): JURNAL ILMIAH M-PROGRESS

Section

Artikel

License

Copyright (c) 2026 JURNAL ILMIAH M-PROGRESS

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.