Industrial Revolution 4.0 In Mechanical Engineering: A Literature Review On The Application Of Iot And Automation In Production Systems
DOI:
https://doi.org/10.62872/f9kz7a81Keywords:
Automation, Internet of Things, Mechanical EngineeringAbstract
The Industrial Revolution 4.0 has revolutionized the mechanical engineering production paradigm through the integration of digital technologies such as the Internet of Things (IoT), cyber-physical systems (CPS), and intelligent automation. This study aims to evaluate the strategic role of IoT and automation in realizing an adaptive, efficient, and sustainable mechanical engineering production system. Using a qualitative approach with a literature review method, this study analyzes the latest findings from relevant scientific sources over the past five years. The results of the review indicate that the implementation of IoT contributes to increased efficiency through predictive maintenance, reduced downtime, and real-time data-driven decision-making. On the other hand, the evolution of automation includes precision robotics, cloud-based CNC, and intelligent PLCs that enhance production flexibility and quality. However, several challenges have been identified, such as limited digital human resources, inadequate infrastructure, and system interoperability issues. Therefore, adaptive strategies such as continuous technical training, cross-sector collaboration, and strengthening industrial digitalization policies are needed. This study concludes that the integration of IoT and automation is a key foundation for the transformation of mechanical engineering towards inclusive and sustainable smart manufacturing, and emphasizes the importance of synergy between technology, people, and policies in supporting a systemic and contextual industrial revolution.
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Agustin, D., Nurhadi, F. F., Nurhadi, H. Q. A., & Achmad, F. A. (2025). Penerapan Instrumen Industri 4.0: Analisis SWOT Sebagai Strategi Transformasi Industri 4.0 di CV. Muda Teknindo. Journal of Community Services in Sustainability, 3(1), 19-27
Anaam, I. K., Hidayat, T., Pranata, R. Y., Abdillah, H., & Putra, A. Y. W. (2022, June). Pengaruh trend otomasi dalam dunia manufaktur dan industri. In Vocational Education National Seminar (VENS) (Vol. 1, No. 1).
Barari, A., de Sales Guerra Tsuzuki, M., Cohen, Y., & Macchi, M. (2021). Intelligent manufacturing systems towards industry 4.0 era. Journal of Intelligent Manufacturing, 32(7), 1793-1796.
Dafflon, B., Moalla, N., & Ouzrout, Y. (2021). The challenges, approaches, and used techniques of CPS for manufacturing in Industry 4.0: a literature review. The International Journal of Advanced Manufacturing Technology, 113(7), 2395-2412.
Dewadi, F. M., Nanda, R. A., Wibowo, C., Perdana, M. F., & Setiawan, M. D. (2025). Tinjauan Literatur atas Peran Teknik Mesin dalam Inovasi Manufaktur Batik pada Era Technoverse. JADI (Jurnal Teknik Industri), 1(1), 32-38.
Gunawan, H. (2024). PELATIHAN PERAWATAN PROGRAMABLE LOGIC CONTROLLER (PLC) SEBAGAI ALAT PENGENDALI ELEKTRONIKA UNTUK PARA TEKNISI DI PT. PACIFIC MEDAN INDUSTRI. PEDAMAS (PENGABDIAN KEPADA MASYARAKAT), 2(03), 637-645.
Gupta, P., Krishna, C., Rajesh, R., Ananthakrishnan, A., Vishnuvardhan, A., Patel, S. S., ... & Chandramohan, V. (2022). Industrial internet of things in intelligent manufacturing: a review, approaches, opportunities, open challenges, and future directions. International Journal on Interactive Design and Manufacturing (IJIDeM), 1-23.
Hamrol, A., Gawlik, J., & Sładek, J. (2019). Mechanical engineering in Industry 4.0. Management and Production Engineering Review, 10, 14-28.
Herdiana, B., Setiawan, E. B., & Sartoyo, U. (2023). Tinjauan Komprehensif Evolusi, Aplikasi, dan Tren Masa Depan Programmable Logic Controllers (A Comprehensive Review of the Evolution, Applications, and Future Trends of Programmable Logic Controllers). Telekontran: Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan, 11(2), 173-193.
Irawan, A., Fadholi, W. H. N., Erikamaretha, Z., & Sinlae, F. (2024). Tantangan dan Strategi Manajemen Keamanan Siber di Indonesia berbasis IoT. Journal Zetroem, 6(1), 114-119.
Jannah, M., & Saifullah, Y. (2024). Rancang Bangun Sistem Pengendali Overhead Crane Berbasis Plc (Programmable Logic Control) (Doctoral dissertation, Politeknik negeri Ujung Pandang).
Kurniawan, E., Fahlovi, O., Avista, Z., Witanto, Y., & Ilyasa, R. (2024). Peran Digital Twin dalam Otomatisasi Manufaktur yang Berkelanjutan. Prosiding SAINTEK: Sains dan Teknologi Vol, 3(1).
Latipah, D., Subhiyanto, S., Adityarini, E., & Mardiansah, M. A. (2025). Integrasi Kecerdasan Buatan Dalam Industri Otomotif: Strategi, Tantangan dan Arah Transformasi Digital. Go Infotech: Jurnal Ilmiah STMIK AUB, 31(1), 197-204.
Mulge, P. (2024). Integration of Automation and Artificial Intelligence in Mechanical Engineering. Journal of Computer Science & Emerging Trends, 1(1), 59-62.
Murni, I. P., & Adibah, A. T. N. (2024). Pengaruh Mesin Cutting Otomatis Berbasis Internet of Thing (IoT) terhadap Efisiensi dan Produktivitas Pekerja Pada Mesin Building Tire di PT. ABC. Jurnal Instrumentasi dan Teknologi Informasi (JITI), 6(1), 121-128.
Nugrowibowo, S., & Muslimin, M. (2023). Smart Manufacturing: Latest Technologies And Applications In Industrial Engineering. Jurnal Minfo Polgan, 12(1), 305-310.
Oztemel, E., & Gursev, S. (2020). Literature review of Industry 4.0 and related technologies. Journal of intelligent manufacturing, 31(1), 127-182.
Pramudita, R., Ramadhan, M. A. P., Ashari, M. R., Nafisa, R. A., & Rahmawati, D. N. (2024). Analisis Dampak Otomasi Industri terhadap Efisiensi Operasional dan Optimasi Konsumsi Energi. Jurnal Ilmiah Teknologi Infomasi Terapan, 11(1).
Ryalat, M., Franco, E., Elmoaqet, H., Almtireen, N., & Al-Refai, G. (2024). The integration of advanced mechatronic systems into industry 4.0 for smart manufacturing. Sustainability, 16(19), 8504.
Soori, M., Jough, F. K. G., Dastres, R., & Arezoo, B. (2024). Robotical automation in CNC machine tools: a review. acta mechanica et automatica, 18(3).
Trista, R. T. (2022). Peran Internet Of Things (IoT) Dalam Industri 4.0. Jurnal Sains Dan Teknologi Widyaloka (JSTekWid), 1(2), 235-241.
Visconti, P., Rausa, G., Del-Valle-Soto, C., Velázquez, R., Cafagna, D., & De Fazio, R. (2024). Machine learning and IoT-based solutions in industrial applications for Smart Manufacturing: a critical review. Future Internet, 16(11), 394.
Wawan, A. B. T. (2025). Integrasi Big Data dan Sistem Informatika Manufaktur dalam Prediksi Permintaan Produksi. JIeTri: Journal of Industrial Engineering Tridinanti, 3(01), 6-10.
Wibowo, A. (2025). Manajemen Transformasi Digital Industri 4.0. Penerbit Yayasan Prima Agus Teknik.
Yulando, S., Suryanto, A. E., Supatra, I. M., & Supriyadi, S. (2024). Transformasi digital dalam meningkatkan kesiapan kerja lulusan program studi pendidikan teknik mesin universitas palangka raya. Steam Engineering, 6(1), 72-78.
Zheng, P., Wang, H., Sang, Z., Zhong, R. Y., Liu, Y., Liu, C., ... & Xu, X. (2018). Smart manufacturing systems for Industry 4.0: Conceptual framework, scenarios, and future perspectives. Frontiers of Mechanical Engineering, 13(2), 137-150.
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Copyright (c) 2025 Arie Wahyu Prananta, Dwiyanto Dwiyanto (Author)
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