PENGEMBANGAN INSTRUMEN DATAFIKASI: EKSPLORASI PEMAHAMAN DASAR SISWA DI BELITUNG

Authors

  • Jap Tji Beng Universitas Tarumanagara
  • Sri Tiatri Universitas Tarumanagara
  • Vienchenzia O. D. Dinatha Faculty of Business Administration, INTI International University, Malaysia
  • Rahmiyana Nurkholiza Science, Technology and Society (STS) Research Group, Universitas Tarumanagara, Jakarta

DOI:

https://doi.org/10.31539/v7taax35

Abstract

Dorongan di era teknologi digital terhadap dunia pendidikan membawa perubahan besar dalam proses pembelajaran yang melibatkan datafikasi. Di Indonesia, penerapan pembelajaran model datafikasi di tingkat sekolah masih tergolong baru dan minim kajian, terutama dalam hal pengembangan instrumen untuk mengukur pemahaman siswa terkait datafikasi. Penelitian ini bertujuan untuk mengeksplorasi dan menguji instrumen pengukuran pemahaman datafikasi siswa di Sekolah Menengah Atas di Belitung. Penelitian ini melibatkan 4 kelas siswa kelas 10 dengan total partisipan 110 orang. Instrumen pre-test disusun ke dalam 21 butir pertanyaan dan post-test 26 butir pertanyan. Metode penelitian yang diterapkan adalah kuantitatif deskriptif verifikatif. Analisis data dilakukan melalui uji Validitas, reliabilitas dan uji Wilcoxon Signed Rank Test untuk mengukur perbedaan pemahaman sebelum dan sesudah intervensi. Hasil penelitian menunjukkan bahwa instrumen pengukuran pemahamanan berhasil meningkatkan pemahaman siswa terhadap datafikasi (Z = -8.823, p < 0.05) dengan peningkatan skor dari 66.22 menjadi 85.85. Skor Cronbach’s Alpha 0.883 pada pre-test dan 0.920 untuk post-test menunjukkan reliabilitas tinggi. Penelitian ini turut berkontribusi dalam pengembangan instrumen asesmen berbasis data terhadap datafikasi khususnya di Indonesia serta mendukung proses pembelajaran literasi data digital.

Kata kunci: Datafikasi, Sekolah Menengah, Pengembangan Instrumen, Literasi Digital

References

Beng, J. T., Krishnaraga, V., Nurkholiza, R., Michellen, K., Angela, O., Salsabila, T. M., & Tiatri, S. (2023). PERCEPTION TOWARDS INFORMATION SYSTEMS STUDY IN TEACHERS AND PRINCIPALS OF VOCATIONAL HIGH SCHOOLS. Internasional Journal of Application on Social Science and Humanities, 1(3), 9–20. https://doi.org/10.24912/ijassh.v1i3.27417

Beng, J. T., Tiatri, S., Zheng, M., Nurkholiza, R., Dinatha, V., & Salsabila, T. M. (2025). Development of a Training Model on the Use of Laser Engraving Technology for Vocational High School Female Students in Semi-Urban Areas: Gender Equality in Education. TEM Journal, 14(2), 1860–1866. https://doi.org/10.18421/TEM142-82

DeVellis, R. F., & Thorpe, C. T. (2021). Scale Developmens. SAGE Publications, 2021.

Ellen B. Mandinach, & Edith S. Gummer. (n.d.). Data Literacy for Educators: Making It Count in Teacher Preparation and Practice. Teachers College Press, 2016.

Ifenthaler, D., Mah, D.-K., & Yau, J. Y.-K. (2019). Utilising Learning Analytics for Study Success: Reflections on Current Empirical Findings. In D.-K. and Y. J. Y.-K. Ifenthaler Dirk and Mah (Ed.), Utilizing Learning Analytics to Support Study Success (pp. 27–36). Springer International Publishing. https://doi.org/10.1007/978-3-319-64792-0_2

Jap, T., & Tiatri, S. (2024). Cross-disciplinary curricula in Bachelor of Information Systems education: a case study in Indonesia. In Teaching Information Systems (pp. 68–86). Edward Elgar Publishing. https://doi.org/10.4337/9781802205794.00010

Jarke, J., & Breiter, A. (2019). Editorial: the datafication of education. Learning, Media and Technology, 44(1), 1–6. https://doi.org/10.1080/17439884.2019.1573833

Karagianni, A., & Papakonstantinou, V. (2022). Surveillance in Schools across Europe: A New Phenomenon in Light of the COVID-19 Pandemic? The Cases of Greece and France. European Journal of Educational Research, 11(2), 1219–1229. https://doi.org/10.12973/eu- jer.11.2.1219

Lee, D., Huh, Y., Lin, C.-Y., Reigeluth, C. M., & Lee, E. (2021). Differences in personalized learning practice and technology use in high- and low-performing learner-centered schools in the United States. Educational Technology Research and Development, 69(2), 1221–1245. https://doi.org/10.1007/s11423-021-09937-y

Leitner, P., Khalil, M., & Ebner, M. (2017). Learning Analytics in Higher Education—A Literature Review. In Studies in Systems, Decision and Control (Vol. 94, pp. 1–23). Springer International Publishing. https://doi.org/10.1007/978-3-319-52977-6_1

Martens, M., De Wolf, R., & De Marez, L. (2024). Datafication and algorithmization of education: How do parents and students evaluate the appropriateness of learning analytics? Education and Information Technologies, 29(7), 8151–8177. https://doi.org/10.1007/s10639-023-12124-6

Narvaez Rojas, C., Alomia Peñafiel, G. A., Loaiza Buitrago, D. F., & Tavera Romero, C. A. (2021). Society 5.0: A Japanese concept for a superintelligent society. In Sustainability (Switzerland) (Vol. 13, Issue 12). MDPI AG. https://doi.org/10.3390/su13126567

ÖZ, S., & ÖZDEMİR, A. (2022). Validity and Reliability Study on The Development of Data Literacy Scale for Educators. International Journal of Contemporary Educational Research, 9(3), 649–661. https://doi.org/10.33200/ijcer.1079774

Pangrazio, L., & Selwyn, N. (2021). Towards a school-based ‘critical data education.’ Pedagogy, Culture & Society, 29(3), 431–448. https://doi.org/10.1080/14681366.2020.1747527

Roh, D., Yoo, J., & Ok, H. (2025). Mapping digital literacy in language education: A comparative analysis of national curriculum standards using text as data approach. Education and Information Technologies, 30(5), 6287–6313. https://doi.org/10.1007/s10639-024-13056-5

Van Dijck, J. (2021). Seeing the forest for the trees: Visualizing platformization and its governance. New Media and Society, 23(9), 2801–2819.https://doi.org/10.117

7/1461444820940293

Watanabe, Y., & Ishita, E. (2023). Information Literacy Education in Japanese Higher Education Institutions. In M.-L. and C. S. K. W. and I. E. and T. K. and S. M. S. Chen Chao-Chen and Wang (Ed.), Information Literacy Education of Higher Education in Asian Countries (pp. 97–120). Springer Nature Singapore.https://doi.org/10.1007/978-981-99-0522-5_6

Williamson, B., & Eynon, R. (2020). Historical threads, missing links, and future directions in AI in education. In Learning, Media and Technology (Vol. 45, Issue 3, pp. 223–235). Routledge.https://doi.org/10.1080/17439884.2020.1798995

Williamson, B., & Hogan, A. (2021). Education International Research Pandemic Privatisation in Higher Education: Edtech & University Reform.

Zawacki-Richter, O., & Jung, I. (2023). Shaping the Field of Open, Distance, and Digital Education. In Handbook of Open, Distance and Digital Education (pp. 1–10). Springer Nature Singapore.https://doi.org/10.1007/978-981-19-0351-9_94-2

Downloads

Published

2025-11-20