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All Journal Bulletin of Engineering Science, Technology and Industry
Yaga Taruma Tarigan
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering

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DEVELOPMENT OF ARTIFICIAL INTELLIGENCE (AI) SYSTEMS FOR BUSINESS SYSTEM OPTIMIZATION Muhammad Yazid Syafiq; Indah Nur Afhiva; Yaga Taruma Tarigan; Syafina Almaira Nazmi Aswin Nasution; Fadly Ardian Syahputra
Bulletin of Engineering Science, Technology and Industry Vol. 3 No. 1 (2025): March
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/besti.v3i1.75

Abstract

The advancement of artificial intelligence (AI) technology has brought major changes in various fields including business. This study aims to analyze the potential for developing AI systems to optimize business processes in Indonesia using a literature review approach. This study highlights trends, benefits, and challenges in AI implementation and shows that AI can improve efficiency, productivity, and innovation. Although the application of AI in Indonesia is still in its early stages, its potential is very large, especially in logistics and e-commerce. However, challenges such as limited access to technology and low digital literacy are still the biggest obstacles. This study uses a systematic literature review (SLR) technique to explore the application of technologies such as machine learning (ML), natural language processing (NLP), and robotic process automation (RPA) to improve operational efficiency. This study shows that with the right implementation strategy, AI can help Indonesian companies compete in the global market and accelerate their digital transformation.
Co-Authors Fadly Ardian Syahputra Indah Nur Afhiva Muhammad Yazid Syafiq Syafina Almaira Nazmi Aswin Nasution