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All Journal Albacore : Jurnal Penelitian Perikanan Laut AL-TANZIM : JURNAL MANAJEMEN PENDIDIKAN ISLAM JIKA (Jurnal Informatika) AL-ARKHABIIL: Jurnal Pengabdian Masyarakat Chalim Journal of Teaching and Learning JEDLISH ITQAN: Journal of Islamic Economics, Management, and Finance El-Mujtama: Jurnal Pengabdian Masyarakat EduInovasi: Journal of Basic Educational Studies Journal of Education Sciences (Edusci) Islamic Banking & Economic Law Studies INTERNATIONAL JOURNAL OF STRATEGIC STUDIES (ICESTRA)
Maulana, Irwan
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Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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The Utilization of Big Data in Higher Education Planning Maulana, Irwan; Bintari, Pramudyasari Nur; Rahman, Ali; Adhyanti, Dina
Jurnal Edusci Vol 3 No 4 (2026): Vol 3 No 4 March 2026
Publisher : Annpublisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62885/edusci.v3i4.1148

Abstract

Background. The use of big data in higher education planning is a strategic issue in the era of digital transformation, demanding data-driven decision-making. Purpose. Aims. This research aims to analyze the characteristics and sources of big data, its use in national education planning, the challenges it faces, and the strategies for its strengthening. Method. The research uses a qualitative, descriptive-exploratory design, employing interviews with resource persons from the National Development Planning Agency and documentation studies. Results. The results of the study show that big data in higher education has complex characteristics, is large and diverse, and is dynamic. Its use has been employed in mapping human resource needs and policy formulation, but it remains descriptive. The main challenges faced are data fragmentation, limited system integration, human resource capacity, and data governance. Conclusion. The ideal model emphasizes cross-sectoral integration based on analytics technology. Therefore, it is necessary to strengthen digital infrastructure, human resource capacity, data integration policies, and data-based culture to support more effective and sustainable higher education planning.
Co-Authors Adhyanti, Dina Alim, Muhammad Nurul Anantasa, Sephia Aulia Nursantoso, Fitria Melinda Azwar Anas Bagus Priambodo Bintoro, Sigit Eliana Sari, Eliana Ginanjar, Farhan Hafidhah Hafidhah Hijriani, Afifah Izzah, Nuril Junaedi, Edy Karnati, Neti Khairunnisa, Khalifa T Lengkong, Indira Krisanti Makmum, Amir Marasabessy, Ruslan Husein Novi Nurhayati, Novi Oktaviani, Nurlita Padilah, Putri Pertiwi, Santhi Pramudyasari Nur Bintari, Pramudyasari Pratama, Fajar Surya Purwanto, Hadi R. Madhakomala Rahman, Ali Rizal Mz, Syamsul Saiful Falah, Saiful Shima, Putri Sintawati, Fairus Sirajuddin Sirajuddin Siti Nurasiah, Siti Suharta Suryandari, Arum Puri Susanti, Rahayu Suwarno, Rizky Wahyu Hidayat