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All Journal Jurnal Penelitian dan Pengembangan Pendidikan Prosiding Universitas PGRI Palembang Jurnal DIDIKA: Wahana Ilmiah Pendidikan Dasar English Community Journal Jurnal Pembahsi (Pembelajaran Bahasa Dan Sastra Indonesia) PROSIDING SEMINAR NASIONAL PROGRAM PASCASARJANA Esteem Journal of English Study Programme Parataksis: Jurnal Bahasa, Sastra, dan Pembelajaran Bahasa Indonesia Aptisi Transactions on Management Journal of English Teaching and Applied Linguistics (JETAL) ADI Pengabdian kepada Masyarakat Jurnal (ADIMAS Jurnal) Journal for Lesson and Learning Studies UNNES International Conference on ELTLT Innovative: Journal Of Social Science Research Nanggroe: Journal Of Scholarly Service JR-ELT (Journal of Research in English Language Teaching) Proceedings of English Linguistics and Literature Nanggroe: Journal of Scholarly Service Indonesian Educational Administration and Leadership Journal (IDEAL) Journal of Social Work and Science Education International Transactions on Artificial Intelligence (ITALIC) Journal of Computer Science and Technology Application
Aswadi Jaya, Aswadi
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Journal : Aptisi Transactions on Management

 1 
Leveraging Artificial Intelligence for Competitive Advantage in Indonesian SMEs Jaya, Aswadi; Cahyono, Dwi; Maria, Lily
APTISI Transactions on Management (ATM) Vol 9 No 3 (2025): ATM (APTISI Transactions on Management: September)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v9i3.2524

Abstract

Artificial Intelligence (AI) has emerged as a transformative force in modern business, offering significant opportunities to enhance operational efficiency, improve customer engagement, and foster innovation. In Indonesia, Small and Medium Enterprises (SMEs) play a crucial role in driving economic growth and employment, yet their adoption of AI technologies remains limited due to resource constraints, lack of expertise, and uncertainty about return on investment. This study aims to investigate how AI adoption can be leveraged to achieve competitive advantage in Indonesian SMEs. Using a mixed-methods approach, data were collected through surveys and in-depth interviews with SME owners across various sectors. The findings indicate that AI applications such as predictive analytics, chatbot-based customer service, and demand forecasting have contributed to increased productivity, cost efficiency, and market competitiveness. The study provides a practical framework for AI implementation tailored to the needs and capacities of Indonesian SMEs, offering insights for business practitioners, policymakers, and researchers seeking to advance digital transformation in the SME sector.
Co-Authors Achmad Wahidy, Achmad Anggi Anggraini, Anggi Apriani Sijabat Asih, Femmy Kurnia Asti Veto Mortini Azahara, Ritza Dadi Adriana Derlina Dewi Kartika Sari Dina, Aulia Rahma Djunaidi Djunaidi DWI CAHYONO Dwi Maharrani Dwistya, Yucha Etty Pratiwi, Etty Evi Rosmiyati, Evi Faturahman, Adam Ferri Hidayad, Ferri Green, Thomas H, Herlina H, Hermansyah Hartono, Rudi Henrikus Joko Yulianto Henry, Henry Hermansyah Hermansyah Hermansyah Hetilaniar M, Marleni Mahesti, Anggun Maria, Lily Marleni Marleni Masnuna, Masnuna Nattapong Rattanakosin Nguyen Thi Minh Trang Pebiyanti, Mamih Maya Phạm Van Dung Prasrihamni, Mega Pratama, Aldora Putri Hardini, Siti Sugesti Ramadhan, Dwi Nur Ridho, M. Riyanto Riyanto Rusilowati, Umi Saputra, Farhan Saputra, Surya Pratama Rajaban Setiawan, Sandy Sri Wahyuni Suthida Chantavhong Tan, Hana Maria Theriana, Ana Uzer, Yus Vernandes Wahyuni, R.A Indah Tri Wang, Rion Yuspar Uzer, Yuspar Zainarthur, Henry Zaki, Alwan Ammar