PEMANFAATAN SISTEM ARTIFICIAL INTELLIGENCE (AI) PADA INDUSTRI OTOMOTIF SECARA TINJAUAN LITERATUR SISTEMATIS
DOI:
https://doi.org/10.36805/16h2rs54Keywords:
Artificial Intelligence, Automotive Industry, Autonomous Vehicles, Smart Manufacturing, Driver Assistance SystemAbstract
The use of Artificial Intelligence (AI) technology in the automotive industry is becoming increasingly relevant in the era of Industrial Revolution 4.0 because it can improve production efficiency, safety, and vehicle innovation. This study aims to systematically examine the application of AI in the automotive sector by highlighting trends, contributions, and challenges faced. The method employed is a Systematic Literature Review (SLR), which analyses more than 40 scientific articles published between 2020 and 2025. The results of the study indicate that AI plays a significant role in five main areas: intelligent manufacturing, autonomous vehicles, Advanced Driver Assistance Systems (ADAS), personalised user experience, and supply chain optimisation. The main contributions lie in increasing operational efficiency, reducing traffic accidents, and accelerating the development of automotive technology. However, significant challenges remain related to integration with legacy infrastructure, cybersecurity issues, and inadequate regulations. This study emphasises the importance of developing Explainable AI (XAI) to increase transparency and public trust in autonomous vehicles. In conclusion, this study provides a comprehensive overview of the potential and obstacles to AI utilisation in the automotive industry, and opens new directions for further research related to safer, more adaptive, and more sustainable AI integration.
Abstrak
Pemanfaatan teknologi Artificial Intelligence (AI) dalam industri otomotif menjadi semakin relevan di era Revolusi Industri 4.0 karena mampu meningkatkan efisiensi produksi, keselamatan, dan inovasi kendaraan. Penelitian ini bertujuan untuk mengkaji secara sistematis penerapan AI dalam sektor otomotif dengan menyoroti tren, kontribusi, serta tantangan yang dihadapi. Metode yang digunakan adalah Systematic Literature Review (SLR) dengan menganalisis lebih dari 40 artikel ilmiah terbitan 2020–2025. Hasil kajian menunjukkan bahwa AI berperan penting dalam lima area utama: manufaktur cerdas, kendaraan otonom, Advanced Driver Assistance Systems (ADAS), personalisasi pengalaman pengguna, dan optimasi rantai pasok. Kontribusi utama terletak pada peningkatan efisiensi operasional, pengurangan kecelakaan lalu lintas, serta percepatan pengembangan teknologi otomotif. Namun, tantangan signifikan masih muncul terkait integrasi dengan infrastruktur lama, isu keamanan siber, dan regulasi yang belum memadai. Studi ini menekankan pentingnya pengembangan Explainable AI (XAI) untuk meningkatkan transparansi dan kepercayaan publik terhadap kendaraan otonom. Kesimpulannya, penelitian ini memberikan gambaran komprehensif mengenai potensi dan hambatan pemanfaatan AI dalam otomotif, serta membuka arah baru untuk penelitian lanjutan terkait integrasi AI yang lebih aman, adaptif, dan berkelanjutan.
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