Penerapan Komputer dalam Identifikasi Barang di E-Commerce Berbasis AI

Trisatin Panggabean; Salsabila Yusra; Sri Ratna Dewi

doi:10.59581/jusiik-widyakarya.v3i1.4455

Authors

Trisatin Panggabean Universitas Islam Negeri Sumatera Utara
Salsabila Yusra Universitas Islam Negeri Sumatera Utara
Sri Ratna Dewi Universitas Islam Negeri Sumatera Utara

DOI:

https://doi.org/10.59581/jusiik-widyakarya.v3i1.4455

Keywords:

Technology, E-commerce, Intelligence, Search

Abstract

This research explores the implementation of computer vision technology in AI-based e-commerce platforms to enhance product identification and improve user experience. The study specifically examines the use of deep learning algorithms, particularly Convolutional Neural Networks (CNN), to automate product recognition and classification. The results indicate that AI-driven image search features significantly increase the speed and accuracy of product search, leading to greater customer engagement. However, challenges such as the need for high-quality datasets, varying image quality, and high initial investment costs were identified as barriers to effective implementation. The findings suggest that overcoming these obstacles can lead to improved operational efficiency and customer satisfaction. The success of AI in e-commerce depends on robust infrastructure, data quality, and skilled workforce training.

References

Badan Pusat Statistik. (2023). ECommerce 2022/2023 01. Badan Statistik Nasional (BPS). https://www.bps.go.id/

BASRA. (n.d.). Survei: 88% konsumen e-commerce membeli barang berdasarkan rekomendasi AI. Kumparan. https://kumparan.com/beritaanaksurabaya/survei-88-konsumen-ecommerce-membeli-barang-berdasarkan-rekomendasi-ai-23pWUl26rLV

Chastanti, I., Layyinnati, I., Srimulat, F. E., Fiqri, C. I., Syafriyeti, R., Afriani, D. T., Ernawati, E., & Jannah, N. (2017). Inovasi pembelajaran dan pendidikan teknologi untuk peningkatan kualitas pendidikan. Angewandte Chemie International Edition, 6(11), 951–952. http://repo.iain-tulungagung.ac.id/5510/5/BAB2.pdf

Che, C., Zheng, H., Huang, Z., Jiang, W., & Liu, B. (2024). Intelligent robotic control system based on computer vision technology. Applied and Computational Engineering, 64(1), 142–147. https://doi.org/10.54254/2755-2721/64/20241373

Guntara, R. G. (2023). Pemanfaatan komputer vision pada e-commerce. Madani: Jurnal Ilmiah Multidisiplin, 1(3), 2302–6219. https://doi.org/10.5281/zenodo.7881002

Hendarsyah, D. (2019). E-commerce di era industri 4.0 dan society 5.0. IQTISHADUNA: Jurnal Ilmiah Ekonomi Kita, 8(2), 171–184. https://doi.org/10.46367/iqtishaduna.v8i2.170

History, A., & Commons Attribution International License. (2024). 10.8734/Kohesi.V1i2.365. Kohesi, 4(11), 1–16.

Singgih, R. P., & Sari, M. P. (2023). Pemanfaatan artificial intelligence dalam pengembangan e-commerce. Prosiding Seminar STIAMI, 35–46. https://ojs.stiami.ac.id/index.php/PS/article/view/3447

Sudarta. (2022). No title. Vol. 16.

Vashishth, T. K., Vikas, K. K. S., Kumar, B., Chaudhary, S., & Panwar, R. (2024). Enhancing customer experience through AI-enabled content personalization in e-commerce marketing. Advances in Digital Marketing in the Era of Artificial Intelligence. https://doi.org/10.1201/9781003450443-2