Adaptation Strategies for Indonesian Islamic Higher Education Facing the Industrial Revolution Big Data and Omics Era

Authors

  • M. Mukhsin Jamil Universitas Islam Negeri Walisongo Semarang
  • Helmiati Universitas Islam Negeri Sultan Syarif Kasim Riau image/svg+xml
  • Khusna Amal Universitas Islam Negeri Kiai Haji Acmad Siddiq Jember

DOI:

https://doi.org/10.28918/jupe.v22i2.12211

Abstract

The advent of Industrial Revolution 4.0 and 5.0 has precipitated substantial changes across myriad fields, including higher education. These developments have been particularly pronounced in America, Europe, the United Kingdom, China, and Asia. Islamic universities, in particular, confront distinctive challenges in adapting to technological advancements such as Big Data and Omics (in the health sector) following the emergence of the novel Coronavirus, while concurrently upholding Islamic principles within the educational curriculum. This article aims to examine adaptation strategies that can be implemented by Indonesian Islamic universities in facing this digital transformation era. Using a literature review approach and conceptual analysis, this article explores the integration of Big Data technology to support data-based decision-making, the development of Omics-based research in biotechnology and health, and curriculum development efforts that combine technology and Islamic values. The results of this study demonstrate that the successful adaptation of Islamic higher education in Indonesia is contingent upon the enhancement of collaboration between academia, industry, and the community, the improvement of digital literacy among faculty and students, and the promotion of policies that demonstrate responsiveness to technological developments. In conclusion, Islamic higher education should aspire to a proactive role in the integration of modern technology with Islamic values, with the objective of creating a more relevant and internationally competitive educational ecosystem.

Keywords:

Indonesian Islamic Higher Education, Industrial revolution, Big data, Omics era

References

Amaro, A., Pfeffer, M., Pfeffer, U., & Reggiani, F. (2022). Evaluation and Comparison of Multi-Omics Data Integration Methods for Subtyping of Cutaneous Melanoma. Biomedicines, 10(12). https://doi.org/10.3390/biomedicines10123240

Bock, C. (2012). Analysing and interpreting DNA methylation data. Nature Reviews Genetics, 13(10), 705–719. https://doi.org/10.1038/nrg3273

Demchenko, Y., Wiktorski, T., Cuadrado Gallego, J. J., & Brewer, S. (2019). EDISON data science framework (EDSF) extension to address transversal skills required by emerging Industry 4.0 transformation. In Proceedings of the IEEE 15th International Conference on eScience (eScience 2019) (pp. 553–559). IEEE Computer Society. https://doi.org/10.1109/eScience.2019.00076

Fanani, M. (2015). The unity of science as UIN Walisongo paradigm: A philosophical approach. Dalam Proceedings of The 1st Joint International Seminar Islam, Science, and Civilization: Prospect and Challenge for Humanity. UIN Walisongo & Universiti Teknologi Malaysia.

Gutiérrez-Rivera, A., Iribar, H., Tuneu, A., & Izeta, A. (2012). Skin-derived precursor cells as an in vitro modelling tool for the study of type 1 neurofibromatosis. Stem Cells International, 2012, Article 646725. https://doi.org/10.1155/2012/646725

Hartono, R., Koestiono, D., Syafrial, S., Toiba, H., & Purnonomo, M. (2023). The role of non-cognitive skills in the adoption of information and communication technology in Indonesia. Asian Economic and Financial Review, 13(3). https://doi.org/10.55493/5002.v13i3.4741

Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., & Khan, S. U. (2015). The rise of big data on cloud computing: Review and open research issues. Information Systems, 47, 98–115. https://doi.org/10.1016/j.is.2014.07.006

Hasibuan, Z. A., Zainul Fanani, A., & Jumanto, J. (2022). Integration of the Indonesian cultural heritage and natural history based on digital technology 4.0: A conceptual framework. In Proceedings of the 2022 International Seminar on Application for Technology of Information and Communication (iSemantic 2022) (pp. 444–447). IEEE. https://doi.org/10.1109/iSemantic55962.2022.9920467

Indriyani, F., Yunita, & dkk. (2019). Analisa Perancangan Sistem Informasi. Graha Ilmu.

Jin, X., Jiang, Q., Xiong, W., Pan, X., & Zhao, W. (2022). Using the Online Self-Directed Learning Environment to Promote Creativity Performance for University Students. Educational Technology & Society, 25(2), 130-147.

Kaplan, A. (Ed.). (2022). Digital transformation and disruption of higher education. Cambridge University Press. https://doi.org/10.1017/9781108979146

Lacave, C., & Molina, A. I. (Eds.). (2023). Advances in artificial intelligence and statistical techniques with applications to health and education. MDPI. https://doi.org/10.3390/books978-3-0365-7247-5

Lin, J. C.-W., Srivastava, G., & Zhang, Y.-D. (2023). Special issue editorial: Advances in computational intelligence for perception and decision-making for autonomous systems. ISA Transactions, 132, 1–4. https://doi.org/10.1016/j.isatra.2023.01.031

Makarow, M., Žic Fuchs, M., & Moulin, C. (2011). Research infrastructures in the digital humanities. European Science Foundation.

Martínez-Gamboa, R. (2016). Big data en humanidades digitales: De la escritura digital a la “lectura distante”. Revista Chilena de Literatura, 94, 39–58. http://dx.doi.org/10.4067/S0718-22952016000300003

Murillo, G. V. (2021). Diseño Y Gestión De Entornos Virtuales De Aprendizaje Design and Management of Virtual Learning Environments. Revista ”Cuadernos”, 62(1), 80-87.

Nwokeji, J. C., & Bego, C. R. (2022). Frontiers in Education (FIE) at 50: Advancing Computing and Engineering Education. In IEEE Transactions on Education, 65(3). https://doi.org/10.1109/TE.2022.3196235

Qurtuby, S. Al. (2021). Pendidikan & Revolusi Industri 4.0: Arab Saudi dan Indonesia. Elsa Press

Saublens, C., Bonas, G., Husso, K., Komárek, P., Koschatzky, K., Oughton, C., Pereira, T. S., Thomas, B., & Wathen, M. (2008). Regional research intensive clusters and science parks (Report). European Commission, Directorate-General for Research.

Schilling, P. L., & Bozic, K. J. (2014). The Big To Do About “Big Data.” Clinical Orthopaedics and Related Research, 472(11). https://doi.org/10.1007/s11999-014-3887-0

Schwab, K. (2016). The Fourth Industrial Revolution. World Economic Forum.

Schwab, K. (2017). The Fourth Industrial Revolution. Portfolio / Penguin Books.

Subramanian, I., Verma, S., Kumar, S., Jere, A., & Anamika, K. (2020). Multi-omics data integration, interpretation, and its application. Bioinformatics and Biology Insights, 14, 1177932219899051. https://doi.org/10.1177/1177932219899051

Wallace, M., Poulopoulos, V., Antoniou, A., & López-Nores, M. (Eds.). (2023). Big data analytics for cultural heritage. MDPI. https://doi.org/10.3390/books978-3-0365-6327-5

Zhang, H., Wenning, H., He, D., & Mao, Y. (2014). Survey of research on information security in big data. In Proceedings of the Congresso da Sociedade Brasileira de Computação (CSBC 2014) (pp. 1-6). SBC.

Downloads

Published

2025-12-16

Article Statistics

50 Views
54 Downloads

Issue

Section

Artikel

How to Cite

Adaptation Strategies for Indonesian Islamic Higher Education Facing the Industrial Revolution Big Data and Omics Era. (2025). Jurnal Penelitian, 22(2), 132-144. https://doi.org/10.28918/jupe.v22i2.12211