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All Journal Proceeding of The International Conferences on Engineering Sciences
Enrico Dini
Institut Oceanographique, Fondation Albert Ier, Prince de Monaco
Civil Engineering, Building, Construction & Architecture Electrical & Electronics Engineering Engineering

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Ai-Driven Predictive Maintenance For Industrial Machinery In Indonesian Manufacturing Sectors Enrico Dini; Patricia Ricard; Sophie Roux
Proceeding of the International Conferences on Engineering Sciences Vol. 2 No. 1 (2025): January : Proceeding of the International Conferences on Engineering Sciences
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/iconfes.v2i1.16

Abstract

This study explores an artificial intelligence (AI)-based predictive maintenance system for industrial machinery in Indonesian manufacturing. By utilizing machine learning algorithms, the system can analyze real-time machine data to predict equipment failures and recommend timely maintenance actions. The implementation of predictive maintenance has shown to reduce machine downtime by 20% and improve operational efficiency in manufacturing plants in Jakarta and Surabaya. This paper discusses the technical design of the predictive maintenance system, its economic impact on production costs, and implications for Indonesia's industrial sector.
Co-Authors Patricia Ricard Sophie Roux