TELISIK+ 2026: Mastering Snpmb Challenges And Preparing For Future Professional Demands

Authors

  • Muhammad Fayyad Abdillah Sriwijaya University image/svg+xml Author
  • Renisya Kusnadi Airlangga University image/svg+xml Author
  • Carin Amanda Polytechnic of State Finance STAN image/svg+xml Author
  • Muhammad Akbar Sriwijaya University image/svg+xml Author
  • Muhamad Zaky Ramadhan Sriwijaya University image/svg+xml Author
  • Eogenie Lakilaki National Library of The Republic of Indonesia Author
  • Artamananda PT Vanz Inovatif Teknologi Author

DOI:

https://doi.org/10.59435/jiss.v4i3.859

Keywords:

educational equity, artificial intelligence, SNPMB, community service, online learning

Abstract

TELISIK+ 2026 merupakan program pengabdian kepada masyarakat berbasis komunitas yang dirancang untuk mengatasi ketimpangan akses persiapan Seleksi Nasional Penerimaan Mahasiswa Baru (SNPMB) sekaligus membekali peserta dengan kapasitas akademik dan keterampilan masa depan. Program ini mengusung pendekatan high-tech meets high-touch yang memadukan pembelajaran berbantuan kecerdasan buatan dengan pendampingan tutor secara langsung, dan terdiri atas empat program yang saling terhubung: bantuan buku UTBK, kelas daring UTBK, penulisan ilmiah dan publikasi, serta pengembangan website edukasi berbasis AI. Kegiatan dilaksanakan secara daring pada 16 Januari–20 April 2026 menggunakan kerangka planning, organizing, actuating, controlling (POAC) dan dievaluasi secara deskriptif-evaluatif dengan kerangka RE-AIM. Hasil pelaksanaan menunjukkan 36 peserta menerima bantuan buku persiapan UTBK, 36 sesi pembelajaran terselenggara pada tujuh subtes bersama 18 tutor, serta 24 peserta menyelesaikan seluruh subtes tryout dengan rerata skor 616,3 dan reliabilitas instrumen yang tinggi (Cronbach's alpha 0,897). Sebanyak 34 peserta diterima di perguruan tinggi negeri melalui jalur SNBP 2026. Platform digital yang dikembangkan telah mengarsipkan 2.273 butir soal UTBK dan 1.950 butir soal SKD, serta menjangkau 551 pengguna aktif terverifikasi. Temuan ini menunjukkan bahwa integrasi pemerataan sumber belajar, mentoring humanistik, dan teknologi AI dapat membentuk ekosistem pendidikan komunitas yang inklusif, adaptif, dan berkelanjutan.

TELISIK+ 2026 is a community-based educational initiative designed to address inequality in access to preparation for the National Student Admission Selection (SNPMB) while equipping participants with academic capacity and future-oriented skills. The program adopts a high-tech meets high-touch approach that combines AI-supported learning with direct human mentoring, and comprises four interconnected programs: the UTBK Book Assistance Equity Program, the Online UTBK Learning Program, the Scientific Writing, Research, and Publication Program, and the AI-Based Educational Website Development Program. The activities were conducted online from January 16 to April 20, 2026, following the planning, organizing, actuating, and controlling (POAC) framework and evaluated through a descriptive-evaluative approach using the RE-AIM framework. The implementation resulted in 36 participants receiving UTBK preparation books, 36 learning sessions delivered across seven subtests by 18 tutors, and 24 participants completing all subtests of the practice test with a mean score of 616.3 and high instrument reliability (Cronbach's alpha of 0.897). A total of 34 participants were admitted to public higher education institutions through the 2026 SNBP pathway. The developed platform has archived 2,273 UTBK items and 1,950 SKD items, reaching 551 verified active users. These findings indicate that integrating equitable learning resources, human-centered mentoring, and AI technology can form an inclusive, adaptive, and sustainable community-based educational ecosystem.

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References

Antara, A. A. P., & Bastari, B. (2015). Penyetaraan vertikal dengan pendekatan klasik dan item response theory pada siswa sekolah dasar. Jurnal Penelitian Dan Evaluasi Pendidikan, 19(1), 13–24.

Artamananda, Lakilaki, E., & Nachwa, S. (2026). Combining Generative AI and Scheduling Algorithms for Personalized Learning Powered by TELISIK. Ogan Ilir Jl. Raya Palembang-Prabumulih No.KM, 7(4), 52–53. https://doi.org/10.47065/josh.v7i4.10356

Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264–75278.

Das, B., Majumder, M., Phadikar, S., & Sekh, A. A. (2021). Automatic question generation and answer assessment: a survey. Research and Practice in Technology Enhanced Learning, 16(1), 5.

Du Plooy, E., Casteleijn, D., & Franzsen, D. (2024). Personalized adaptive learning in higher education: A scoping review of key characteristics and impact on academic performance and engagement. Heliyon, 10(21).

Fadhil, I., & Sabic-El-Rayess, A. (2021a). Providing equity of access to higher education in Indonesia: A policy evaluation. Indonesian Journal on Learning and Advanced Education (IJOLAE), 57–75.

Fadhil, I., & Sabic-El-Rayess, A. (2021b). Providing equity of access to higher education in Indonesia: A policy evaluation. Indonesian Journal on Learning and Advanced Education (IJOLAE), 57–75.

Harahap, E. S., Maipita, I., & Rahmadana, M. F. (2020a). Determinant analysis of education inequalities in Indonesia. Budapest International Research and Critics Institute-Journal (BIRCI-Journal), 3(2), 1067–1082.

Harahap, E. S., Maipita, I., & Rahmadana, M. F. (2020b). Determinant analysis of education inequalities in Indonesia. Budapest International Research and Critics Institute-Journal (BIRCI-Journal), 3(2), 1067–1082.

Hariyanto, Kristianingsih, F. X. D., & Maharani, R. (2025). Artificial intelligence in adaptive education: a systematic review of techniques for personalized learning. In Discover Education (Vol. 4, Number 1). Discover. https://doi.org/10.1007/s44217-025-00908-6

Kurdi, G., Leo, J., Parsia, B., Sattler, U., & Al-Emari, S. (2020). A systematic review of automatic question generation for educational purposes. International Journal of Artificial Intelligence in Education, 30(1), 121–204.

Lakilaki, E., Artamananda, & Fatihah Salsabila, A. (2024). Eksplorasi Peran Gamifikasi Dan Motivasi Dalam Dinamika Utbk Di Perguruan Tinggi Negeri Indonesia.

Lan, M., & Zhou, X. (2025). A qualitative systematic review on AI empowered self-regulated learning in higher education. Npj Science of Learning, 10(1). https://doi.org/10.1038/s41539-025-00319-0

Luo, J., Zheng, C., Yin, J., & Teo, H. H. (2025). Design and assessment of AI-based learning tools in higher education: a systematic review. In International Journal of Educational Technology in Higher Education (Vol. 22, Number 1). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1186/s41239-025-00540-2

Martin, P. (2024). Do participants in widening participation outreach programmes in England progress to selective universities at a higher rate than would otherwise be expected? British Educational Research Journal, 50(4), 1962–1982.

Ní Chorcora, E., Bray, A., & Banks, J. (2023). A systematic review of widening participation: Exploring the effectiveness of outreach programmes for students in second‐level schools. Review of Education, 11(2), e3406.

Nickow, A., Oreopoulos, P., & Quan, V. (2024). The promise of tutoring for PreK–12 learning: A systematic review and meta-analysis of the experimental evidence. American Educational Research Journal, 61(1), 74–107.

Nisa, C., & Retnawati, H. (2018). Comparing the methods of vertical equating for the math learning achievement tests for junior high school students. REiD (Research and Evaluation in Education), 4(2), 8.

Noetel, M., Griffith, S., Delaney, O., Sanders, T., Parker, P., del Pozo Cruz, B., & Lonsdale, C. (2021). Video improves learning in higher education: A systematic review. Review of Educational Research, 91(2), 204–236.

Pravitasari, P. D., Mahfud, H., & Supianto, S. (2023). Implementasi proyek penguatan profil pelajar pancasila (P5) di sekolah dasar. Didaktika Dwija Indria, 11(2), 35–40.

Taber, K. S. (2018). The use of Cronbach’s alpha when developing and reporting research instruments in science education. Research in Science Education, 48(6), 1273–1296.

Yingsoon, G. Y., Yiming, C., Suyan, Z., Haiyan, Z., & Xiaoyao, T. (2025). Elevating equity in education: programmatic strategies for supporting disadvantaged learners. In Mitigating Learner Disadvantages in Teaching and Learning (pp. 29–58). IGI Global Scientific Publishing.

Published

28-10-2026

How to Cite

TELISIK+ 2026: Mastering Snpmb Challenges And Preparing For Future Professional Demands. (2026). Journal Of Indonesian Social Society (JISS), 4(3), 205-223. https://doi.org/10.59435/jiss.v4i3.859