Dinamika Riset Informatika di Era Industri 4.0
Kata Kunci:
Dinamika Riset Informatika, Industri 4.0, Kecerdasan Buatan, Big Data, Internet of Things, Transformasi Digital.Abstrak
Riset Perkembangan teknologi pada era Industri 4.0 telah membawa perubahan signifikan dalam berbagai bidang, termasuk informatika. Dinamika riset informatika saat ini ditandai dengan meningkatnya integrasi teknologi seperti kecerdasan buatan, big data, Internet of Things (IoT), dan komputasi awan dalam berbagai sektor kehidupan. Penelitian ini bertujuan untuk mengkaji perkembangan, tren, serta tantangan dalam riset informatika di era Industri 4.0. Metode yang digunakan adalah studi literatur terhadap berbagai jurnal ilmiah dan publikasi terkait. Hasil kajian menunjukkan bahwa riset informatika berperan penting dalam mendukung transformasi digital, meningkatkan efisiensi sistem, serta mendorong inovasi di berbagai sektor, seperti pendidikan, kesehatan, dan industri. Namun demikian, terdapat tantangan yang harus dihadapi, seperti keamanan data, privasi, serta kesiapan sumber daya manusia. Oleh karena itu, diperlukan strategi yang tepat dalam pengembangan riset informatika agar mampu beradaptasi dengan perkembangan teknologi yang cepat dan kompleks di era Industri 4.0.
Unduhan
Referensi
[1] I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, “Wireless sensor networks: A survey,” Computer Networks, vol. 38, no. 4, pp. 393–422, 2002.
[2] I. F. Akyildiz and M. C. Vuran, Wireless Sensor Networks. Wiley, 2010.
[3] A. Al-Fuqaha, M. Guizani, M. Mohammadi, M. Aledhari, and M. Ayyash, “Internet of Things: A survey,” IEEE Communications Surveys & Tutorials, vol. 17, no. 4, pp. 2347–2376, 2015.
[4] G. Anastasi, M. Conti, M. Di Francesco, and A. Passarella, “Energy conservation in wireless sensor networks,” Ad Hoc Networks, vol. 7, no. 3, pp. 537–568, 2009.
[5] M. Bacco, P. Barsocchi, E. Ferro, A. Gotta, and M. Ruggeri, “The digitisation of agriculture,” IEEE Communications Magazine, vol. 55, no. 10, pp. 10–17, 2017.
[6] C. M. Bishop, Pattern Recognition and Machine Learning. Springer, 2006.
[7] R. Boutaba et al., “A comprehensive survey on machine learning for networking,” IEEE Communications Surveys & Tutorials, vol. 20, no. 3, pp. 1995–2021, 2018.
[8] A. Boukerche et al., “Localization systems for wireless sensor networks,” IEEE Wireless Communications, vol. 14, no. 6, pp. 6–12, 2007.
[9] L. Breiman, “Random forests,” Machine Learning, vol. 45, no. 1, pp. 5–32, 2001.
[10] M. Chen, S. Mao, and Y. Liu, “Big data: A survey,” Mobile Networks and Applications, vol. 19, pp. 171–209, 2014.
[11] C. Y. Chong and S. P. Kumar, “Sensor networks: Evolution, opportunities, and challenges,” Proceedings of the IEEE, vol. 91, no. 8, pp. 1247–1256, 2003.
[12] T. M. Cover and P. E. Hart, “Nearest neighbor pattern classification,” IEEE Transactions on Information Theory, vol. 13, no. 1, pp. 21–27, 1967.
[13] D. Culler, D. Estrin, and M. Srivastava, “Overview of sensor networks,” Computer, vol. 37, no. 8, pp. 41–49, 2004.
[14] J. Dean and S. Ghemawat, “MapReduce: Simplified data processing,” Communications of the ACM, vol. 51, no. 1, pp. 107–113, 2008.
[15] L. Deng and D. Yu, “Deep learning: Methods and applications,” Foundations and Trends in Signal Processing, vol. 7, no. 3–4, pp. 197–387, 2014.
[16] J. Gubbi et al., “Internet of Things: A vision,” Future Generation Computer Systems, vol. 29, no. 7, pp. 1645–1660, 2013.
[17] J. Han, M. Kamber, and J. Pei, Data Mining: Concepts and Techniques. Elsevier, 2011.
[18] K. He et al., “Deep residual learning for image recognition,” in IEEE Conference, 2016.
[19] G. Hinton et al., “Deep belief networks,” Neural Computation, vol. 18, no. 7, pp. 1527–1554, 2006.
[20] M. I. Jordan and T. M. Mitchell, “Machine learning trends,” Science, vol. 349, no. 6245, pp. 255–260, 2015.
[21] R. Kitchin, Big Data Revolution. Sage, 2014.
[22] A. Krizhevsky et al., “ImageNet classification,” in NIPS, 2012.
[23] J. Lee et al., “Cyber-physical systems in Industry 4.0,” Manufacturing Letters, vol. 3, pp. 18–23, 2015.
[24] S. Li, L. D. Xu, and S. Zhao, “IoT applications,” Information Systems Frontiers, vol. 17, no. 2, pp. 243–259, 2015.
[25] J. Manyika et al., “Big data report,” McKinsey Global Institute, 2011.
[26] P. Mell and T. Grance, “Cloud computing definition,” NIST, 2011.
[27] T. Mitchell, Machine Learning. McGraw-Hill, 1997.
[28] M. E. Porter and J. Heppelmann, “Smart connected products,” Harvard Business Review, 2014.
[29] S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach. Pearson, 2016.
[30] K. Schwab, The Fourth Industrial Revolution. World Economic Forum, 2016.
[31] W. Shi et al., “Edge computing,” IEEE Internet of Things Journal, vol. 3, no. 5, pp. 637–646, 2016.
[32] S. Singh and N. Singh, “Big data analytics,” Procedia Computer Science, vol. 50, pp. 375–380, 2015.
[33] A. S. Tanenbaum and D. Wetherall, Computer Networks. Pearson, 2011.
[34] H. R. Varian, “Big data opportunities,” Journal of Economic Perspectives, vol. 28, no. 2, pp. 3–28, 2014.
[35] S. Wang et al., “Edge computing survey,” IEEE Access, vol. 6, pp. 128–140, 2018.
[36] L. D. Xu et al., “Industry 4.0 overview,” IEEE Industrial Informatics, vol. 10, no. 4, pp. 2233–2243, 2014.
[37] Q. Yang et al., “Federated learning,” ACM Transactions, 2019.
[38] Q. Zhang et al., “Cloud computing review,” Future Generation Computer Systems, vol. 25, no. 6, pp. 599–616, 2010.
[39] K. Zhou et al., “Industry 4.0 overview,” in IEEE Conference, 2015.
[40] P. Zikopoulos and C. Eaton, Understanding Big Data. McGraw-Hill, 2011.
[41] E. Prasetyo and T. Nugroho, “Implementasi kecerdasan buatan dalam sistem informasi modern,” Jurnal Informatika Indonesia, vol. 14, no. 2, pp. 101–110, 2019.
[42] B. Santoso and R. Hidayat, “Analisis big data dalam pengambilan keputusan berbasis teknologi,” Jurnal Teknologi Informasi dan Komunikasi, vol. 8, no. 1, pp. 45–56, 2020.
[43] T. P. Putra and A. Wijaya, “Penerapan Internet of Things pada sistem monitoring cerdas,” Jurnal Sistem Cerdas, vol. 10, no. 3, pp. 120–130, 2021.
[44] D. Nugraha and Y. Pratama, “Pengembangan sistem berbasis cloud computing dalam industri digital,” Jurnal Komputer dan Aplikasi, vol. 6, no. 2, pp. 89–98, 2018.
[45] A. Kurniawan and D. Saputra, “Transformasi digital pada era industri 4.0,” Jurnal Teknologi dan Industri, vol. 12, no. 1, pp. 15–25, 2022.
[46] F. Rahman and H. Setiawan, “Analisis keamanan data dalam sistem berbasis IoT,” Jurnal Keamanan Informasi, vol. 5, no. 2, pp. 77–88, 2020.
[47] S. Wibowo and P. Lestari, “Machine learning dalam analisis data besar,” Jurnal Ilmu Komputer, vol. 11, no. 1, pp. 33–42, 2019.
[48] T. E. P. Prasetyo, “Dinamika riset informatika di era industri 4.0,” Jurnal Riset Informatika, vol. 13, no. 2, pp. 55–66, 2021.
[49] T. E. P. Prasetyo and M. Fauzan, “Perkembangan teknologi digital dan implikasinya terhadap penelitian informatika,” Jurnal Teknologi Modern, vol. 9, no. 3, pp. 201–210, 2022.
[50] T. E. P. Prasetyo, “Integrasi artificial intelligence dalam sistem berbasis data,” Jurnal Informatika dan Sistem Cerdas, vol. 15, no. 1, pp. 1–12, 2023.
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Hak Cipta (c) 2026 Abduhu Rafik, Romeo Djefzy Romadhoni (Penulis)
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