Peluang dan Tantangan Integrasi AI dalam Sistem Informasi Manajemen Perguruan Tinggi di Indonesia

Mikael Emi Bernadus; Arita Marini; Rihlah Nur Aulia

doi:10.30872/impian.v6i1.18

Authors

Mikael Emi Bernadus Institut Filsafat dan Teknologi Kreatif Ledalero
Arita Marini Universitas Negeri Jakarta
Rihlah Nur Aulia Universitas Negeri Jakarta

DOI:

https://doi.org/10.30872/impian.v6i1.18

Keywords:

AI, integrasi teknologi, perguruan tinggi, sistem informasi manajemen

Abstract

Pesatnya kemajuan Kecerdasan Buatan (AI) menawarkan peluang strategis untuk memodernisasi Sistem Informasi Manajemen Pendidikan Tinggi (HEMIS) di Indonesia. Artikel ini menyajikan tinjauan literatur komprehensif (2020–2025) tentang integrasi AI dalam HEMIS, menyoroti potensi manfaat, tantangan, dan strategi implementasi. Studi ini didasarkan pada sistem informasi dan teori transformasi digital, menekankan peran AI dalam efisiensi organisasi dan pengambilan keputusan. Metodologi penelitian yang digunakan adalah tinjauan pustaka sistematis, analisis dan pembandingan studi yang relevan dari jurnal internasional dan nasional terkemuka, serta publikasi terindeks di SINTA. Temuan menunjukkan bahwa integrasi AI memberikan beberapa peluang utama: peningkatan efisiensi operasional melalui otomatisasi administrasi; layanan siswa adaptif melalui personalisasi dan chatbot; dukungan pengambilan keputusan strategis melalui analitik prediktif tentang kinerja, risiko putus sekolah, dan pengoptimalan penjadwalan; dan kemajuan inisiatif kampus pintar melalui konvergensi AI-IoT. Namun demikian, implementasi menghadapi tantangan yang signifikan, termasuk infrastruktur digital yang terbatas, manajemen data yang terfragmentasi, kompetensi sumber daya manusia yang tidak memadai dalam AI dan analitik, serta masalah etika dan privasi. Selain itu, kendala pendanaan dan kesenjangan peraturan menghambat adopsi di seluruh universitas Indonesia. Studi ini merekomendasikan pendekatan implementasi AI bertahap, penguatan tata kelola data, peningkatan kapasitas untuk staf akademik dan administrasi, dan kolaborasi industri-universitas. Tinjauan ini berkontribusi sebagai acuan awal bagi perguruan tinggi di Indonesia untuk merancang strategi yang efektif untuk mengadopsi AI dalam sistem informasi manajemen.

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References

Acosta-Enriquez, B. G., Ramos Farroñan, E. V., Villena Zapata, L. I., Mogollon Garcia, F. S., Rabanal-León, H. C., Angaspilco, J. E. M., & Bocanegra, J. C. S. (2024). Acceptance of artificial intelligence in university contexts: A conceptual analysis based on UTAUT2 theory. Heliyon, 10(19), Artikel e38315. https://doi.org/10.1016/j.heliyon.2024.e38315

Aguado-García, J.-M., Alonso-Muñoz, S., & De-Pablos-Heredero, C. (2025). Using artificial intelligence for higher education: An overview and future research avenues. SAGE Open, 15(2), 1–16. https://doi.org/10.1177/21582440251340352

Ahmad, I. (2024). Evaluation of the implementation of educational management information systems in supporting strategic decision-making in higher education. Contemporary Journal of Applied Sciences, 2(6), 461–475. https://doi.org/10.55927/cjas.v2i6.12314

Alam, G. F., Purnawirawan, O., Herlambang, A. D., & Batita, M. S. R. (2025). National education policy: Implementation of artificial intelligence in higher education. Journal of Smart Education and Learning, 2(1), 11–21. https://doi.org/10.53088/jsel.v2i1.1925

Almtrf, A. A. (2025). Generative AI-enabled MIS for e-learning. American Journal of Humanities and Social Sciences Research, 9(10), 98–114.

Annafi, M. (2025, Agustus 11). AI di dunia kampus: Tantangan, peluang, dan peran dosen di era digital. UIN Suska Riau. https://fdk.uin-suska.ac.id/2025/08/11/ai-di-dunia-kampus-tantangan-peluang-dan-peran-dosen-di-era-digital/

Anshori, I., Yansyah, D., Nasiroh, N., Urfi, U., & Ismail, H. A. B. H. (2025). Integration of artificial intelligence in education management systems to improve the quality of Islamic education. Thawalib: Jurnal Kependidikan Islam, 6(2), 209–224. https://doi.org/10.54150/thawalib.v6i2.616

Antara News. (2025, Maret 2). Akademisi: Pemanfaatan AI harus disertai regulasi dan etika. ANTARA News. https://www.antaranews.com/berita/5188941/akademisi-pemanfaatan-ai-harus-disertai-regulasi-dan-etika

Arifin, W. W. A. (2025, Mei 11). Tantangan dan perhatian dalam penerapan AI pada pendidikan Indonesia. JawaPos.com. https://www.jawapos.com/pendidikan/015995613/tantangan-dan-perhatian-dalam-penerapan-ai-pada-pendidikan-indonesia

Ashaari, M. A., Singh, K. S. D., Abbasi, G. A., Amran, A., & Liebana-Cabanillas, F. J. (2021). Big data analytics capability for improved performance of higher education institutions in the era of IR 4.0: A multi-analytical SEM & ANN perspective. Technological Forecasting and Social Change, 173, Artikel 121119. https://doi.org/10.1016/j.techfore.2021.121119

Astuty, A., & Susilowati, T. (2025). Artificial intelligence sebagai tantangan transformasi birokrasi dalam pelayanan publik di era digital. Journal of Innovative and Creativity (JOECY), 5(2), 7859–7864. https://doi.org/10.31004/joecy.v5i2.1287

Bian, Q., Ling, X., & Yan, S. (2024). Bridging the algorithmic divide. Education as Change, 28, 1–22. https://doi.org/10.25159/1947-9417/17983

BINUS University. (2025). Information systems & business analytics program. BINUS University. https://binus.ac.id/program/information-systems-business-analytics/

Bogonko, B. M., Nyakweba, I., Makanda, N. N., & Makori, V. N. (2025). A framework for AI-driven data governance in academic libraries. EDULIB: Journal of Library and Information Science, 15(2), 199–218. https://doi.org/10.17509/edulib.v15i2.87417

Chedrawi, C., Haddad, G., Tarhini, A., Osta, S., & Kazoun, N. (2025). Exploring the impact of responsible AI usage on users’ behavioral intentions. Journal of Innovation & Knowledge, 10(6), Artikel 100813. https://doi.org/10.1016/j.jik.2025.100813

Crompton, H., & Burke, D. (2023). Artificial intelligence in higher education: The state of the field. International Journal of Educational Technology in Higher Education, 20(1), Artikel 22. https://doi.org/10.1186/s41239-023-00392-8

Damaris, R., Rosadi, S. D., & Bratadana, I. M. D. (2025). Data governance for artificial intelligence implementation in the financial sector: An Indonesian perspective. Journal of Central Banking Law and Institutions, 4(3), 445–472. https://doi.org/10.21098/jcli.v4i3.430

Direktorat Riset dan Inovasi ITB. (2025, Oktober). Jejak inovasi dan kegiatan pusat penelitian (Simpul 3P Vol. 30). Institut Teknologi Bandung. https://dri.itb.ac.id/wp-content/uploads/sites/33/2025/11/Simpul_3P_Vol30_Edisi_Oktober_2025.pdf

Fernández, A., Gómez, B., Binjaku, K., & Meçe, E. K. (2023). Digital transformation initiatives in higher education institutions: A multivocal literature review. Education and Information Technologies, 28(10), 12351–12382. https://doi.org/10.1007/s10639-022-11544-0

George, B., & Wooden, O. (2023). Managing the strategic transformation of higher education through artificial intelligence. Administrative Sciences, 13(9), Artikel 196. https://doi.org/10.3390/admsci13090196

Georgieva, M., W., J., S., J., B., J., C., S., & R.-G., B. (2025, Juni 24). AI ethical guidelines. EDUCAUSE. https://library.educause.edu/resources/2025/6/ai-ethical-guidelines

Gill, N. S. (2025, Januari 29). Predictive analytics & student retention rates. XenonStack. https://www.xenonstack.com/blog/predictive-analytics-student-retention-rates

González-Nucamendi, A., Noguez, J., Neri, L., Robledo-Rella, V., & García-Castelán, R. M. G. (2023). Predictive analytics study to determine undergraduate students at risk of dropout. Frontiers in Education, 8, Artikel 1244686. https://doi.org/10.3389/feduc.2023.1244686

González-Pérez, L. I., García-Peñalvo, F. J., & Argüelles-Cruz, A. J. (2025). Data-driven learning analytics and artificial intelligence in higher education: A systematic review. IEEE Revista Iberoamericana de Tecnologías del Aprendizaje, 20(1), 1–12. https://doi.org/10.1109/RITA.2025.3615512

Haetami, H. (2025). AI-driven educational transformation in Indonesia: From learning personalization to institutional management. AL-ISHLAH: Jurnal Pendidikan, 17(2), 1819–1832. https://doi.org/10.35445/alishlah.v17i2.7448

Hamdat, A., B, C., Samalam, A. G., Rizal, M., & Lawalata, I. L. D. (2024). The impact of management information systems on decision-making efficiency. Vifada Management and Digital Business, 1(2), 56–74. https://doi.org/10.70184/qpw1rq78

İbrahimov, R., Mammadova, K., & Hashimov, E. (2025). Artificial intelligence applications in higher education: Prospects for personalized learning and governance efficiency. Grail of Science, 55, 601–614. https://doi.org/10.36074/grail-of-science.22.08.2025.071

iMteknologi. (2023, Oktober 5). Smart campus solution Indonesia. IMteknologi. https://imteknologi.com/smart-campus-solution-indonesia

Institut Teknologi Bandung. (2025). Laboratorium Manajemen Energi – Teknik Fisika. Institut Teknologi Bandung. https://energy.tf.itb.ac.id/lab/?page_id=8

Jamaica, N. J., & Tagbo, S. (2025). Artificial intelligence in educational management for enhanced administrative effectiveness in Rivers State universities. International Journal of Educational Management, 1(2), 213–236.

Jo, H., & Bang, Y. (2023). Analyzing ChatGPT adoption drivers with the TOEK framework. Scientific Reports, 13(1), Artikel 22606. https://doi.org/10.1038/s41598-023-49710-0

Kementerian Komunikasi dan Digital Republik Indonesia. (2023). Surat Edaran Menteri Komunikasi dan Informatika Nomor 9 Tahun 2023 tentang etika kecerdasan artifisial. https://jdih.komdigi.go.id/produk_hukum/view/id/883/t/surat+edaran+menteri+komunikasi+dan+informatika+nomor+9+tahun+2023

Kirange, D. Y., & Chaudhari, Y. N. (2025). AI in academia: Forecasting student dropouts. International Journal of Scientific Research in Engineering & Technology, 14(5), 11–14. https://doi.org/10.59256/ijsreat.20250504002

Lima, L., Costa, T., Mokoena, T., & Nkosi, M. (2025). Challenges and opportunities for implementing artificial intelligence in education in Indonesia. MJTI: Multidisciplinary Journal of Technology and Informatics, 1(2), 79–84.

Mapademics. (2025). Predictive analytics & student retention using AI [White paper]. Mapademics. https://mapademics.com/whitepapers/predictive-analytics-student-retention-ai

Marcolino, M. R., Reis Porto, T., Thompsen Primo, T., Targino, R., Ramos, V., Marques Queiroga, E., Munoz, R., & Cechinel, C. (2025). Student dropout prediction through machine learning optimization: Insights from Moodle log data. Scientific Reports, 15(1), Artikel 9840. https://doi.org/10.1038/s41598-025-93918-1

Medeiros, T., Araújo, A., Silva, J., & Silva, A. (2025). Data governance in education: Addressing challenges and unlocking opportunities for effective data management. Proceedings of the International Conference on Educational Technologies, 367–374. https://doi.org/10.5220/0013468300003929

Mewengkang, A., Sumual, H., Podung, B. J., & Wullur, M. M. (2024). Management information system for achieving main performance indicators for higher education. International Journal of Information Technology and Education (IJITE), 3(2), 115–128.

OpenGov Asia. (2025, September 26). Indonesia harnesses AI to transform higher education. OpenGov Asia. https://opengovasia.com/indonesia-harnesses-ai-to-transform-higher-education/?c=id

Peddi, S., & Manoharan, G. (2026). Ethical guidelines for the thoughtful implementation of AI in higher education. EthAIca, 5, Artikel e2026409. https://doi.org/10.56294/ai2026409

Pohan, R., & Pohan, N. (2025). Integrasi artificial intelligence dalam sistem manajemen pendidikan Islam untuk meningkatkan efisiensi administrasi. Sistem Pendukung Keputusan dengan Aplikasi, 4(2), 101–110. https://doi.org/10.55537/spk.v4i2.1305

Puspitasari, C. (2022, Agustus 18). Tantangan dalam pengembangan teknologi artificial intelligence di Indonesia. BINUS University Malang. https://binus.ac.id/malang/2022/08/tantangan-dalam-pengembangan-teknologi-artificial-intelligence-di-indonesia/

Putera, Z. F., Shofiah, N., Ramadhani, R. P., Maulidina, A., Puspitasari, P., & Purwaningsih, H. (2024). Readiness dosen dalam mengintegrasikan kecerdasan buatan untuk pengajaran menulis teks akademik di perguruan tinggi. Jurnal Pendidikan Bahasa dan Sastra Indonesia Metalingua, 9(2), 170–181.

Putra Barus, O., Hidayanto, A. N., & Eitiveni, I. (2025). Mapping generative AI’s ethical issues in higher education: A felt-guided systematic review. POLYGLOT: Jurnal Ilmiah, 21(2), 159–196. https://doi.org/10.1966/pji.v21i2.10020

Putra, L. G. R., Prasetya, D. D., & Mayadi, M. (2025). Student dropout prediction using Random Forest and XGBoost method. INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi, 9(1), 147–157. https://doi.org/10.29407/intensif.v9i1.21191

Rabelo, A. M., & Zárate, L. E. (2025). A model for predicting dropout of higher education students. Data Science and Management, 8(1), 72–85. https://doi.org/10.1016/j.dsm.2024.07.001

Raghuvanshi, A. (2025). AI and predictive analytics in higher education: A Salesforce approach. World Journal of Advanced Research and Reviews, 26(2), 3047–3053. https://doi.org/10.30574/wjarr.2025.26.2.1958

Raharjo, R. S., & Rohmadi, S. H. (2025). Artificial intelligence in Indonesian education: A critical review of ethical considerations, implementation challenges, and educational management perspectives. At-Tarbawi: Jurnal Kajian Kependidikan Islam, 10(1), 50–68. https://doi.org/10.22515/attarbawi.v10i1.12141

Rahman, A., & Aniati. (2025). Leveraging opportunities and challenges in integrating AI technology into traditional learning methods in Parepare. Journal of Education Research and Evaluation, 9(2), 256–268. https://doi.org/10.23887/jere.v9i2.93260

Ramadhan, A. F., Tajudeen, F. P., & Jaafar, N. I. (2024). The influence factors of data governance implementation: Study in Indonesian public university. Procedia Computer Science, 234, 1204–1211. https://doi.org/10.1016/j.procs.2024.03.116

Ranieri, M., Biagini, G., & Cuomo, S. (2025). AI literacy in higher education. International Journal of Digital Literacy and Digital Competence, 16(1), 1–25. https://doi.org/10.4018/IJDLDC.388469

Reyes, G., Tolozano-Benites, R., George-Reyes, C., Rumbaut, D., & Barzola-Monteses, J. (2025). Adoption of artificial intelligence applications in higher education. Frontiers in Education, 10, Artikel 1680401. https://doi.org/10.3389/feduc.2025.1680401

Rizal, M., Dolah, B., Hairy, M., Kharauddin, B., & Amir, N. B. (2025). A systematic review of artificial intelligence adoption in higher education LMS: Readiness and acceptance (2020–2025). International Journal of Mechanical, Industrial and Control Systems Engineering, 2(3), 8–12. https://doi.org/10.61132/ijmicse.v2i3.351

SekolahRobot. (2023, September 15). Smart laboratory asset management system. Hackster.io. https://www.hackster.io/sekolahrobot/smart-laboratory-asset-management-system-4bf229

Selvaratnam, R., & Venaruzzo, L. (2023). Governance of artificial intelligence and data in Australasian higher education: A snapshot of policy and practice. Australasian Council on Open, Distance and E-Learning. https://acode.edu.au/wp-content/uploads/2024/03/717-Article-Text-Non-ASCILITE-Conference-submissions-5032-1-10-20240118.pdf

SEVIMA. (2024, Februari 15). AI dalam pendidikan tinggi: Peluang dan tantangan yang harus dihadapi. Kumparan.com. https://kumparan.com/komunitas-sevima/ai-dalam-pendidikan-tinggi-peluang-dan-tantangan-yang-harus-dihadapi-252GWwyLoBW/full

Sholihin, R., & Mubarak, A. (2025). Pedoman etika penggunaan AI di lingkungan Fakultas Syariah. Universitas Islam Negeri.

Suhardi, M. (2025). Optimizing educational management with artificial intelligence in Indonesian higher education: A qualitative exploration. Journal of Educational Management and Instruction (JEMIN), 5(2), 265–280. https://doi.org/10.22515/jemin.v5i2.11046

Suhendry, B., Nida, R. R., & Atmadja, F. S. (2025). Kecerdasan buatan dalam personalisasi pembelajaran perguruan tinggi: Inovasi, peluang, dan tantangan masa depan. Al-Irsyad: Journal of Education Science, 4(2), 825–835. https://doi.org/10.58917/aijes.v4i2.386

Sunarjo, R. A., Chakim, M. H. R., Maulana, S., & Fitriani, G. (2024). Management of educational institutions through information systems for enhanced efficiency and decision-making. International Transactions on Education Technology (ITEE), 3(1), 47–61. https://doi.org/10.33050/itee.v3i1.670

Suwarno. (2024, Agustus 11). Big data in education. BINUS University. https://pgsd.binus.ac.id/2024/08/11/big-data-in-education/

Takkar, A. (2025). Big data analytics for real-time decision-making in business. International Journal for Multidisciplinary Research, 7(2), 1–7.

Tran, T., & Kuula, M. (2023). Juggling quality labels with centralised analytics: How the first Nordic triple-crowned business school does it. Studies in Higher Education, 48(6), 845–863. https://doi.org/10.1080/03075079.2023.2172153

UNESCO. (2021, November 25). Recommendation on the ethics of artificial intelligence. UNESCO. https://www.unesco.org/en/artificial-intelligence/recommendation-ethics

UNESCO. (2023). Harnessing the era of artificial intelligence in higher education: A primer for higher education stakeholders. UNESCO. http://en.unesco.org/open-access/terms-use-ccbysa-en

Universitas Gadjah Mada. (2024, Oktober 14). Bertransformasi menuju Smart Digital University: UGM menyelenggarakan focus group discussion penguatan AI-society. UGM News. https://ugm.ac.id/id/berita/bertransformasi-menuju-smart-digital-university-ugm-selenggarakan-focus-group-discussion-penguatan-ai-society/

Universitas Gadjah Mada. (2025, Juli 9). Buka layanan satu pintu, Rektor UGM luncurkan University Services. UGM News. https://ugm.ac.id/id/berita/buka-layanan-satu-pintu-rektor-ugm-luncurkan-university-services/

Universitas Medan Area. (2025, Maret 10). Kecerdasan buatan (AI) dan regulasi etika: Tantangan hukum di era digital. Fakultas Hukum Universitas Medan Area. https://hukum.uma.ac.id/kecerdasan-buatan-ai-dan-regulasi-etika-tantangan-hukum-di-era-digital/

Wahdah, S. I., Kurniawan, R. Y., & Irawan, N. (2025). Adoption of ChatGPT in higher education: Insights from the Unified Theory of Acceptance and Use of Technology model. Indonesian Journal on Learning and Advanced Education (IJOLAE), 7(2), 312–327. https://doi.org/10.23917/ijolae.v7i2.9743

Walhidayah, I., & Surendro, K. (2025). Development of an AI governance model for higher education using the Capability Maturity Model Integration (CMMI). Jurnal Teknik Informatika (JUTIF), 6(4), 2001–2018. https://doi.org/10.52436/1.jutif.2025.6.4.4709

Wang, Y. (2025). Artificial intelligence in student management systems to enhance academic performance monitoring and intervention. Scientific Reports, 15(1), Artikel 35122. https://doi.org/10.1038/s41598-025-19159-4

Widayanti, R., Mutiara, A. B., & Tarigan, A. (2024). Data governance in blockchain-based systems for internship grade conversion. Aptisi Transactions on Technopreneurship, 6(3), 310–322. https://doi.org/10.34306/att.v6i3.487

Xu, X. (2025). AI optimization algorithms enhance higher education management and personalized teaching through empirical analysis. Scientific Reports, 15(1), Artikel 10157. https://doi.org/10.1038/s41598-025-94481-5

Xue, L., Rashid, A. M., & Ouyang, S. (2024). The Unified Theory of Acceptance and Use of Technology (UTAUT) in higher education: A systematic review. SAGE Open, 14(1), 1–18. https://doi.org/10.1177/21582440241229570

Yazid, A., Sari Panjaitan, M., Fitriyanti Lubis, F., & Romansyah, Y. (2025). Machine learning utilization to predict potential at-risk students in higher education: A literature review. Proceedings of the 2nd International Conference on Islamic Community Studies (ICICS), 978–988.