Analysis of MSME Actors' Perception in West Java Toward the Use of Artificial Intelligence (AI) as an Effort to Improve Operational Efficiency
DOI:
https://doi.org/10.22441/ijiem.v6i3.31854Keywords:
MSME perception, Artificial intelligence, Operational efficiency, Digital transformation, Technology adoptionAbstract
This study aims to analyze the perceptions of Micro, Small and Medium Enterprises (MSMEs) in West Java regarding the use of Artificial Intelligence (AI) as an effort to increase operational efficiency. The method used is quantitative research with a survey via questionnaire distributed to 100 MSME players. Data analysis includes descriptive statistics to identify the level of understanding, benefits, barriers, and expectations regarding AI adoption. The research results show that 32% of respondents have used AI, with the majority using it for sales data analysis. As many as 75% of AI users find it easy to operate the technology, and 84% state that the cost of use is relatively affordable. The main obstacle is a lack of understanding of the technology, which has led to low widespread adoption of AI. As many as 52% of respondents expressed interest in taking AI training. This research concludes that although AI provides significant benefits in increasing efficiency, technological literacy and more affordable access are needed to accelerate digital transformation in the MSME sector. Recommendations include developing AI-based training and providing technology solutions that are easier to implement.
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Ardiansyah H, Siswadi. (2022). Pengaruh Model Pembelajaran Two Stay-Two Stray Terhadap Kreativitas Belajar Siswa Pada Pokok Bahasan Eksponen Kelas X IPA. Jurnal Al Ulum LPPM Universitas Al Washliyah Medan, X, 46–53. Volume 10 Nomor 1, Tahun 2022. ISSN 2655-9862 (Media Online)
Davenport, T., & Ronanki, R. (2018). Artificial Intelligence For The Real World. Harvard Business Review, 96(1), 108–116.
Fahmi, S., Tinggi, S., Ekonomi, I., & Malang, K. (2024). Pemanfaatan Teknologi Ai Untuk Menunjang Pemasaran Produk Umkm Di Kota Malang. BERDAYA EKONOMI : Jurnal Pengabdian Masyarakat, 2(2), 91–103. https://www.jurnal.stiekma.ac.id/index.php/PkM/article/view/208
Fandriansyah, M. A. (2022). Pemanfaatan Market Place Grabfood & Gofood Dalam Peningkatan Penjualan Pada Umkm Food And Beverages Mao-Mao Cirebon. Jurnal Ekonomi, Bisnis, Dan Akuntansi (Jeba), 11–18.
Ganesa, Egen, Catur P Putri, Evi Nashriyah, A. H. A. (2024). Pengaruh Pertumbuhan Umkm Terhadap Tingkat Pengangguran Di Jakarta Pusat Pada Usaha “ Mie Gacoan .” 2(2), 244–254.
Guntara, R. G. (2022). Indonesian Journal of Digital Business A B S T R A K Informasi Artikel. Indonesian Journal of Digital Business, 2(1), 9–14.
Kar, S. (2023). Impact of Artificial Intelligence on Digital Marketing. Interantional Journal of Scientific Research in Engineering and Management, 07(07). https://doi.org/10.55041/ijsrem25001
Kementerian Koprasi dan UKM. (2022). Laporan Tahunan UMKM Indonesia. Jakarta: Kemenkop UKM.
Kementerian Perindustrian. (2024). Kementerian Perindustrian Republik Indonesia. Kemenperin Indonesia, 13, 1–136.
Putri, A. F. H., & Novani, S. (2024). Improvizing West Java MSMEs Using Quality Service Gaps Model. 7(1), 132–143. https://doi.org/10.54268/baskara.v7i1.24376
Schatsky, D., Muraskin, C., & Gurumurthy, R. (2017). Cognitive Technologies The real opportunities for business. Deloitte Insights, 16, 17. https://dupress.deloitte.com/dup-us-en/deloitte-review/issue-16/cognitive-technologies-business-applications.html#endnote-15
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly: Management Information Systems, 27(3), 425–478. https://doi.org/10.2307/30036540
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