Upgrading Digital Literacy for Gen Z in Madrasah through Basic Computer Training

Budi Prasojo; Adianto Adianto; Imam Sutrisno; Ihsan Tanjung

doi:10.33648/ijoaser.v8i3.1233

Budi Prasojo Politeknik Perkapalan Negeri Surabaya, Indonesia
Adianto Adianto Politeknik Perkapalan Negeri Surabaya, Indonesia
Imam Sutrisno Politeknik Perkapalan Negeri Surabaya, Indonesia
Ihsan Tanjung Sekolah Tinggi Ilmu Pelayaran Jakarta, Indonesia

DOI: https://doi.org/10.33648/ijoaser.v8i3.1233

Keywords: Digital Literacy, Gen Z, Computer-Based Testing; Participatory Training

Abstract

Generation Z learners, born into an era of ubiquitous digital technology, require robust digital-literacy skills to participate effectively in education and society. However, many students in Islamic elementary schools (madrasah ibtidaiyah) still struggle with basic computer operation, especially when confronted with computer-based testing environments. This study aimed to upgrade the digital literacy of female students at MI Al Fatah II through a structured, hands-on Basic Computer Training (BCT) program. The training emphasized fundamental computer use, file management, text editing, and online-examination simulation. A participatory action-research design was adopted, involving 25 students over three weeks. Quantitative data were collected via pre- and post-tests, and qualitative data through observation and reflective interviews. The average literacy score increased from 48.2 to 86.7, yielding a normalized gain of 0.74 (high effectiveness). Students also exhibited enhanced self-confidence and ethical awareness in digital environments. The findings highlight that gender-responsive, context-based digital-literacy programs can effectively prepare young learners in faith-based schools to engage in online learning ecosystems and align with Indonesia’s Merdeka Belajar policy and the Sustainable Development Goals (SDGs 4 & 9).

References

Bandura, A. (1997). Self-efficacy: The exercise of control. Freeman.

Braun, V., & Clarke, V. (2019). Reflecting on reflexive thematic analysis. Qualitative Research in Sport, Exercise and Health, 11(4), 589–597.

Dweck, C. (2016). Mindset: The new psychology of success. Ballantine Books.

Freire, P. (1970). Pedagogy of the Oppressed. Continuum.

Hake, R. R. (1999). Analyzing change/gain scores. Indiana University Press.

Hidayat, R. (2023). Implementation of CBT in Islamic Elementary Schools: Opportunities and Challenges. Jurnal Pendidikan Islam, 7(1), 12–20.

Kemendikbud. (2022). Digital Literacy Guidelines for Primary Schools. Jakarta: Directorate of Basic Education.

Kolb, D. A. (2018). Experiential Learning: Experience as the Source of Learning and Development. Pearson Education.

McTaggart, R. (1997). Participatory Action Research: International Contexts and Consequences. State University of New York Press.

Pratama, D., & Wulandari, A. (2021). Enhancing Students’ Digital Competence through Practice-Based Training. Jurnal Pengabdian Pendidikan, 3(2), 45–52.

Rahmawati, N. (2024). Digital Literacy of Generation Z in Islamic Schools. Jurnal Inovasi Pendidikan Digital, 5(1), 55–63.

Suryana, T. (2020). Technology as a Medium for Student Empowerment. Jurnal Pengabdian Masyarakat, 5(1), 12–20.

Trilling, B., & Fadel, C. (2019). 21st Century Skills: Learning for Life in Our Times. Jossey-Bass.

UNESCO. (2019). Digital Skills for Life and Work. Paris: UNESCO Publishing.

UNESCO. (2020). Gender Equality and Digital Literacy. Paris: UNESCO.

Wahyuni, R. (2023). Technological Literacy Practices in Secondary Schools. Jurnal Sains dan Pendidikan, 8(1), 33–42.

Widodo, R., & Kadir, A. (2022). Integrating ICT in Faith-Based Education. Journal of Educational Innovation, 6(2), 101–116.

M Rifai, RA Budiman, I Sutrisno, A Khumaidi, VYP Ardhana, H Rosika, M Setiyono, F Muhammad, M Rusmin, A Fahrizal (2021). Dynamic time distribution system monitoring on traffic light using image processing and convolutional neural network method, 1175(1).

Imam Sutrisno, Mohammad Abu Jami'In, Jinglu Hu, Mohammad Hamiruce Marhaban (2015). Self-organizing quasi-linear ARX RBFN modeling for identification and control of nonlinear systems, 642-647.

M.A. Jami'in, I. Sutrisno, J. Hu (2015). Maximum Power Tracking Control for a Wind Energy Conversion System Based on a Quasi-ARX Neural Network Model, 10(4).

I Sutrisno, MA Jami’in, J Hu, MH Marhaban, N Mariun (2014). Nonlinear Model-Predictive Control Based on Quasi-ARX Radial-Basis Function-Neural-Network, Asia Modelling Symposium.

Imam Sutrisno, Mohammad Abu Jami’in, Jinglu Hu (2013). Implementation of Lyapunov Learning Algorithm for Fuzzy Switching Adaptive Controller Modeled Under Quasi-ARX Neural Network, 2nd International Conference on Measurement, Information and Control (ICMIC), 762-766.

RB Widodo, RM Quita, S Amrizal, RS Gunawan, C Wada, A Ardiansyah, I Sutrisno, MB Rahmat, AZ Arfianto, CR Handoko, AD Santoso, AWB Santosa, VYP Ardhana, E Setiawan (2019). Grasping and Attached Mode in Human-Computer Interaction in the Study of Mouse Substitution, Journal of Physics: Conference Series, 1196(1).

Imam Sutrisno, Mohammad Abu Jami’in, Jinglu Hu (2013). An Improved Fuzzy Switching Adaptive Controller for Nonlinear Systems Based on Quasi-ARX Neural Network, International Seminar on Electrical Informatics and Its Education (SEIE 13).

Sereati Hasugian, Maulidiah Rahmawati, AA Istri Wahyuni, Iie Suwondo, Imam Sutrisno (2021). Analysis the risk of the ship accident in indonesia with bayesian network model approach, Annals of the Romanian Society for Cell Biology, 25(2), 3341-3356.

M.A. Jami'in, I. Sutrisno, J. Hu (2014). Nonlinear Adaptive Control for Wind Energy Conversion Systems Based on Quasi-ARX Neural Network Model, International MultiConference of Engineers and Computer Scientists (IMECS'2014) (Hongkong), 313-318.

Ii Munadhif Ihza Anfasa Dua Nurhidta, Imam Sutrisno (2021). RANCANG BANGUN INTEGRASI SCADA PADA SISTEM CRUSHING DAN BARGE LOADING CONVEYOR, Jurnal Conference on Automation Engineering and Its Application, 39-45.