The Effect of IoT Implementation and Artificial Intelligence in Optimising Machine Maintenance in the Automotive Industry in Karawang

Authors

  • Loso Judijanto IPOSS Jakarta Author
  • Arnes Yuli Vandika Universitas Bandar Lampung Author
  • Dhiraj Kelly Sawlani Universitas Pertahanan Republik Indonesia Author
  • Hanifah Nurul Muthmainah Universitas Siber Muhammadiyah Author
  • Deddy Hidayat Politeknik Meta Industri Cikarang Author

Keywords:

Internet of Things, Artificial Intelligence, Machine Maintenance Optimization, Automotive Industry

Abstract

This study examines the impact of Internet of Things (IoT) and Artificial Intelligence (AI) on optimizing machine maintenance in the automotive industry, with a specific focus on environmentally friendly agribusiness practices in Karawang. A quantitative approach was employed, involving 75 respondents from automotive companies that have integrated IoT and AI technologies into their maintenance operations. Data was collected through a Likert-scale questionnaire and analyzed using SPSS version 26. The results show that both IoT and AI significantly improve machine maintenance optimization, reducing downtime and enhancing operational efficiency. AI had a slightly stronger influence than IoT, and their combined effect explained 65% of the variance in machine maintenance outcomes. The findings highlight the potential of these technologies to support sustainable industrial practices, contributing to both improved performance and environmental sustainability. This research provides valuable insights for the automotive industry in adopting IoT and AI to enhance maintenance processes and promote sustainability.

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Published

2024-10-08

How to Cite

The Effect of IoT Implementation and Artificial Intelligence in Optimising Machine Maintenance in the Automotive Industry in Karawang. (2024). Sciences Du Nord Nature Science and Technology, 1(02), 76-85. https://north-press.com/index.php/snnst/article/view/41