Abstract
Pemilihan arsitektur komputasi Edge, Cloud, atau Hybrid menjadi tantangan krusial di Industri 4.0 karena perbedaan signifikan dalam performa dan biaya operasional. Berbeda dari studi yang hanya berfokus pada aspek teknis, penelitian ini menyajikan analisis cost-performance yang komprehensif. Menggunakan skenario simulasi predictive maintenance, trade-off antara metrik teknis (utilisasi CPU, RAM, latensi, dan penyimpanan) dievaluasi dengan estimasi biaya harian. Lebih lanjut, penelitian ini mengusulkan sebuah decision matrix sebagai alat bantu pengambilan keputusan. Hasil menunjukkan Edge unggul dalam latensi rendah (17,5 ms) dan efisiensi biaya. Cloud menawarkan skalabilitas superior dengan biaya lebih tinggi, sementara Hybrid menjadi kompromi seimbang meski memiliki overhead dan kompleksitas tertinggi. Temuan ini memberikan kontribusi aplikatif berupa panduan empiris bagi para praktisi untuk memilih arsitektur yang paling sesuai dengan prioritas operasional dan ketersediaan anggaran.
References
[1] H. Prasetyo and W. Sutopo, “Perkembangan Keilmuan Teknik Industri Menuju Era Industri 4.0,” Angewandte Chemie International Edition, 6(11), 951–952., vol. 13, no. 2, 2019.
[2] E. Sisinni, A. Saifullah, S. Han, U. Jennehag, and M. Gidlund, “Industrial internet of things: Challenges, opportunities, and directions,” IEEE Trans Industr Inform, vol. 14, no. 11, 2018, doi: 10.1109/TII.2018.2852491.
[3] I. H. Khan and M. Javaid, “Role of Internet of Things (IoT) in Adoption of Industry 4.0,” Journal of Industrial Integration and Management, vol. 7, no. 4, 2022, doi: 10.1142/S2424862221500068.
[4] M. Ghobaei-Arani, A. Souri, and A. A. Rahmanian, “Resource Management Approaches in Fog Computing: a Comprehensive Review,” 2020. doi: 10.1007/s10723-019-09491-1.
[5] W. Shi, J. Cao, Q. Zhang, Y. Li, and L. Xu, “Edge Computing: Vision and Challenges,” IEEE Internet Things J, vol. 3, no. 5, 2016, doi: 10.1109/JIOT.2016.2579198.
[6] F. C. Andriulo, M. Fiore, M. Mongiello, E. Traversa, and V. Zizzo, “Edge Computing and Cloud Computing for Internet of Things: A Review,” Dec. 01, 2024, Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/informatics11040071.
[7] S. Gautam, “Comparison of Edge and Cloud Computing Technology for Industry 4.0 Perspective on the Future,” Interantional Journal of Scientific Research in Engineering and Management, vol. 07, no. 07, 2023, doi: 10.55041/ijsrem24555.
[8] P. Silva, A. Costan, and G. Antoniu, “Investigating Edge vs. Cloud Computing Trade-offs for Stream Processing,” 2021.
[9] A. Ali-Eldin, B. Wang, and P. Shenoy, “The Hidden cost of the Edge: A Performance Comparison of Edge and Cloud Latencies,” Apr. 2021, [Online]. Available: http://arxiv.org/abs/2104.14050
[10] T. Küfner, S. Schönig, R. Jasinski, and A. Ermer, “Vertical data continuity with lean edge analytics for industry 4.0 production,” Comput Ind, vol. 125, 2021, doi: 10.1016/j.compind.2020.103389.
[11] D. Loghin, L. Ramapantulu, and Y. M. Teo, “Towards Analyzing the Performance of Hybrid Edge-Cloud Processing,” 2019.
[12] B. Bajic, I. Cosic, B. Katalinic, S. Moraca, M. Lazarevic, and A. Rikalovic, “Edge computing vs. Cloud computing: Challenges and opportunities in industry 4.0,” in Annals of DAAAM and Proceedings of the International DAAAM Symposium, 2019. doi: 10.2507/30th.daaam.proceedings.120.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Copyright (c) 2025 Raihan Azhar Lapandu, Dr. Ir. Nur Widiyasono, S.Kom., M.Kom, Ir. Alam Rahmatulloh, S.T., M.T
