V3I8P10

The Impact of IoT and Artificial Intelligence Implementation on Optimizing Machine Maintenance in the Automotive Industry in Karawang

Vennila P^1*, Maniraj V²

Abstract

This study investigates the effects of the Internet of Things (IoT) and Artificial Intelligence (AI) on machine maintenance optimization in the automotive industry in Karawang. The increasing adoption of digital technologies has transformed maintenance strategies from reactive approaches to predictive and data-driven systems, improving operational efficiency and equipment reliability. A quantitative research design was employed, involving 75 respondents from automotive manufacturing companies that have implemented IoT and AI technologies in their maintenance processes. Data were collected using a structured Likert-scale questionnaire and analyzed using SPSS version 26. The findings reveal that both IoT and AI have a significant positive impact on machine maintenance optimization. The implementation of these technologies contributes to reduced machine downtime, enhanced maintenance accuracy, and improved operational performance. AI was found to exert a slightly stronger influence than IoT in supporting maintenance effectiveness. Furthermore, the combined effect of IoT and AI accounted for 65% of the variance in machine maintenance optimization, indicating a substantial contribution to maintenance performance outcomes. These results demonstrate the strategic role of IoT and AI in advancing industrial maintenance practices and supporting sustainable manufacturing operations. The study provides valuable insights for automotive companies seeking to leverage digital technologies to enhance maintenance efficiency, productivity, and long-term operational sustainability. The findings also contribute to the growing body of literature on Industry 4.0 technologies and their application in optimizing industrial maintenance systems.

Keywords:

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