Penerapan Sistem Manufacturing 4.0 dengan Integrasi Internet of Things (IoT) untuk Optimalisasi Efisiensi Produksi
DOI:
https://doi.org/10.51903/juritek.v4i1.4041Keywords:
Internet of Things (IoT), Manufacturing 4.0, Production EfficiencyAbstract
Digital technological advancements have driven a paradigm shift towards Industry 4.0, characterized by the integration of cyber-physical systems and artificial intelligence in manufacturing processes. This study analyzes the role of Internet of Things (IoT) in accelerating Manufacturing 4.0 transformation, focusing on production efficiency optimization. Through a systematic literature review of 45 Scopus-indexed journals published between 2019-2024, complemented by experimental analysis on a laboratory-scale smart factory prototype, this research examines the implementation of IoT-based technologies such as predictive maintenance and digital twins. Results demonstrate that IoT integration significantly enhances production efficiency through real-time monitoring (30% downtime reduction), predictive maintenance (20% maintenance cost decrease), and data-driven supply chain optimization (15% energy savings). Case studies from Siemens and PT. Unilever Indonesia confirm that IoT sensor integration with ERP systems improves demand forecasting accuracy by 25% and reduces production errors to 0.001%. Despite challenges including high initial infrastructure costs and cybersecurity vulnerabilities, IoT implementation offers sustainable competitive advantages through enhanced operational efficiency, quality control, and resource management.
References
Aljarrah, M. M., Zawaideh, F. H., Magableh, M., Al Wahshat, H., Mohamed, R. R., & V, A. K. (2023). Internet of Thing (IoT) and data analytics with challenges and future applications. In 2023 International Conference on Computer Science and Emerging Technologies (CSET) (pp. 1–8). IEEE. https://doi.org/10.1109/CSET58993.2023.10346664
Joel, O. S., Oyewole, A. T., Odunaiya, O. G., & Soyombo, O. T. (2024). The impact of digital transformation on business development strategies: Trends, challenges, and opportunities analyzed. World Journal of Advanced Research and Reviews, 21(3), 617–624. https://doi.org/10.30574/wjarr.2024.21.3.0706
Kang, K. D., Kang, H., Ilankoon, I. M. S. K., & Chong, C. Y. (2020). Electronic waste collection systems using Internet of Things (IoT): Household electronic waste management in Malaysia. Journal of Cleaner Production, 252, 119801. https://doi.org/10.1016/j.jclepro.2019.119801
Khan, I. H., & Javaid, M. (2022). Role of Internet of Things (IoT) in adoption of Industry 4.0. Journal of Industrial Integration and Management, 7(4), 515–533. https://doi.org/10.1142/S2424862221500068
Lugaresi, G., Alba, V. V., & Matta, A. (2021). Lab-scale models of manufacturing systems for testing real-time simulation and production control technologies. Journal of Manufacturing Systems, 58, 93–108. https://doi.org/10.1016/j.jmsy.2020.09.003
Marinagi, C., Reklitis, P., Trivellas, P., & Sakas, D. (2023). The impact of Industry 4.0 technologies on key performance indicators for a resilient Supply Chain 4.0. Sustainability, 15(6), 5185. https://doi.org/10.3390/su15065185
Renna, P. (2017). Decision-making method of reconfigurable manufacturing systems’ reconfiguration by a Gale-Shapley model. Journal of Manufacturing Systems, 45, 149–158. https://doi.org/10.1016/j.jmsy.2017.09.005
Santoso, S., Kusnanto, E., & Saputra, M. R. (2022). Perbandingan metode pengumpulan data dalam penelitian kualitatif dan kuantitatif serta aplikasinya dalam penelitian akuntansi interpretatif. OPTIMAL: Jurnal Ekonomi dan Manajemen, 2(3), 351–360. https://doi.org/10.55606/optimal.v2i3.4457
Shombot, E. S., Dusserre, G., Bestak, R., & Ahmed, N. B. (2025). Maximizing healthcare security outcomes through AI/ML multi-label classification approach on IoHT devices. Health and Technology. https://doi.org/10.1007/s12553-025-00963-x
Soori, M., Arezoo, B., & Dastres, R. (2023). Internet of Things for smart factories in Industry 4.0, a review. Internet of Things and Cyber-Physical Systems, 3, 192–204. https://doi.org/10.1016/j.iotcps.2023.04.006
Trista, R. T. (2022). Peran Internet of Things (IoT) dalam Industri 4.0. Jurnal Sains dan Teknologi Widyaloka, 1(2), 235–241. https://doi.org/10.54593/jstekwid.v1i2.34
Vlachos, I. P., Pascazzi, R. M., Zobolas, G., Repoussis, P., & Giannakis, M. (2023). Lean manufacturing systems in the area of Industry 4.0: A lean automation plan of AGVs/IoT integration. Production Planning & Control, 34(4), 345–358. https://doi.org/10.1080/09537287.2021.1917720
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
.png)
