PERCEIVED CONTRIBUTION OF DIGITAL TECHNOLOGY TO HIGHER EDUCATION FUNCTIONS: RESPONSE PATTERNS AND RELIABILITY OF A PILOT INSTRUMENT IN NORTH MALUKU
DOI:
https://doi.org/10.33387/humano.v17i2.12799Kata Kunci:
perceived technological contribution, higher education, ceiling effect, scale reliability, North MalukuAbstrak
Digital technology is expected to support not only teaching but also research, community service, governance and partnership in higher education institutions. This pilot study examined how higher-education users in North Maluku, Indonesia, rate the contribution of digital technology to these functions and whether a brief ten-item instrument can distinguish between them. An exploratory cross-sectional online survey was conducted from 25 August to 12 September 2026 with a convenience sample of 38 students, alumni, lecturers and employed graduates, who rated ten positively worded five-point Likert-type items. Item estimates were reported with 95% confidence intervals, distinguishability was assessed with an exact best-case bound for Holm-corrected Wilcoxon comparisons, and reliability was examined with Cronbach’s alpha, the mean inter-item correlation and Spearman–Brown projections. The composite mean was high (M = 4.45, 95% CI [4.31, 4.59]), but 98.2% of responses fell in the two highest categories, indicating a strong ceiling effect. No pairwise difference between functions could reach significance under any data configuration. Alpha was .94, the mean inter-item correlation was about .59, and six items would suffice for alpha = .90, indicating item redundancy. The instrument captured shared positivity but could not discriminate between institutional functions and should be revised before wider use.
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Referensi
Aditya, B. R., Ferdiana, R., & Kusumawardani, S. S. (2022a). Identifying and prioritizing barriers to digital transformation in higher education: A case study in Indonesia. International Journal of Innovation Science, 14(3/4), 445–460. https://doi.org/10.1108/IJIS-11-2020-0262
Aditya, B. R., Ferdiana, R., & Kusumawardani, S. S. (2022b). A barrier diagnostic framework in process of digital transformation in higher education institutions. Journal of Applied Research in Higher Education, 14(2), 749–761. https://doi.org/10.1108/JARHE-12-2020-0454
Alenezi, M. (2021). Deep dive into digital transformation in higher education institutions. Education Sciences, 11(12), 770. https://doi.org/10.3390/educsci11120770
Badan Pusat Statistik. (2025). Indeks pembangunan teknologi informasi dan komunikasi 2024 [ICT development index 2024]. Badan Pusat Statistik.
Baumgartner, H., & Steenkamp, J.-B. E. M. (2001). Response styles in marketing research: A cross-national investigation. Journal of Marketing Research, 38(2), 143–156. https://doi.org/10.1509/jmkr.38.2.143.18840
Benavides, L. M. C., Arias, J. A. T., Serna, M. D. A., Bedoya, J. W. B., & Burgos, D. (2020). Digital transformation in higher education institutions: A systematic literature review. Sensors, 20(11), 3291. https://doi.org/10.3390/s20113291
Bond, M., Buntins, K., Bedenlier, S., Zawacki-Richter, O., & Kerres, M. (2020). Mapping research in student engagement and educational technology in higher education: A systematic evidence map. International Journal of Educational Technology in Higher Education, 17, Article 2. https://doi.org/10.1186/s41239-019-0176-8
Brown, L. D., Cai, T. T., & DasGupta, A. (2001). Interval estimation for a binomial proportion. Statistical Science, 16(2), 101–133. https://doi.org/10.1214/ss/1009213286
Clark, L. A., & Watson, D. (1995). Constructing validity: Basic issues in objective scale development. Psychological Assessment, 7(3), 309–319. https://doi.org/10.1037/1040-3590.7.3.309
Direktorat Jenderal Pendidikan Tinggi. (2020). Buku panduan Merdeka Belajar–Kampus Merdeka [Guidebook for Merdeka Belajar–Kampus Merdeka]. Kementerian Pendidikan dan Kebudayaan Republik Indonesia.
Feldt, L. S., Woodruff, D. J., & Salih, F. A. (1987). Statistical inference for coefficient alpha. Applied Psychological Measurement, 11(1), 93–103. https://doi.org/10.1177/014662168701100107
Gadermann, A. M., Guhn, M., & Zumbo, B. D. (2012). Estimating ordinal reliability for Likert-type and ordinal item response data: A conceptual, empirical, and practical guide. Practical Assessment, Research, and Evaluation, 17, Article 3. https://doi.org/10.7275/n560-j767
Gkrimpizi, T., Peristeras, V., & Magnisalis, I. (2023). Classification of barriers to digital transformation in higher education institutions: Systematic literature review. Education Sciences, 13(7), 746. https://doi.org/10.3390/educsci13070746
Henderson, M., Selwyn, N., & Aston, R. (2017). What works and why? Student perceptions of ‘useful’ digital technology in university teaching and learning. Studies in Higher Education, 42(8), 1567–1579. https://doi.org/10.1080/03075079.2015.1007946
Holm, S. (1979). A simple sequentially rejective multiple test procedure. Scandinavian Journal of Statistics, 6(2), 65–70.
Jovanka, D. R., Habibi, A., Mailizar, M., Yaqin, L. N., Kusmawan, U., Yaakob, M. F. M., & Wijaya, T. T. (2023). Determinants of e-learning services: Indonesian Open University. Cogent Education, 10(1), Article 2183703. https://doi.org/10.1080/2331186X.2023.2183703
Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi. (2023). Peraturan Menteri Pendidikan, Kebudayaan, Riset, dan Teknologi Nomor 53 Tahun 2023 tentang Penjaminan Mutu Pendidikan Tinggi [Ministerial Regulation No. 53 of 2023 on Higher Education Quality Assurance].
Limani, Y., Hajrizi, E., Stapleton, L., & Retkoceri, M. (2019). Digital transformation readiness in higher education institutions (HEI): The case of Kosovo. IFAC-PapersOnLine, 52(25), 52–57. https://doi.org/10.1016/j.ifacol.2019.12.445
Mailizar, M., Burg, D., & Maulina, S. (2021). Examining university students’ behavioural intention to use e-learning during the COVID-19 pandemic: An extended TAM model. Education and Information Technologies, 26(6), 7057–7077. https://doi.org/10.1007/s10639-021-10557-5
Marks, A., Al-Ali, M., Atassi, R., Abualkishik, A. Z., & Rezgui, Y. (2020). Digital transformation in higher education: A framework for maturity assessment. International Journal of Advanced Computer Science and Applications, 11(12), 504–513. https://doi.org/10.14569/IJACSA.2020.0111261
McNeish, D. (2018). Thanks coefficient alpha, we’ll take it from here. Psychological Methods, 23(3), 412–433. https://doi.org/10.1037/met0000144
Norman, G. (2010). Likert scales, levels of measurement and the “laws” of statistics. Advances in Health Sciences Education, 15(5), 625–632. https://doi.org/10.1007/s10459-010-9222-y
OECD. (2023). OECD digital education outlook 2023: Towards an effective digital education ecosystem. OECD Publishing. https://doi.org/10.1787/c74f03de-en
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879
Putro, H. P. N., Rajiani, I., Hadi, S., Abbas, E. W., & Mutiani. (2022). Adoption of e-learning in Indonesian higher education: Innovation or irritation? Educational Sciences: Theory and Practice, 22(1), 36–45. https://doi.org/10.12738/jestp.2022.1.0004
Republik Indonesia. (2012). Undang-Undang Nomor 12 Tahun 2012 tentang Pendidikan Tinggi [Law No. 12 of 2012 on Higher Education].
Rodríguez-Abitia, G., & Bribiesca-Correa, G. (2021). Assessing digital transformation in universities. Future Internet, 13(2), 52. https://doi.org/10.3390/fi13020052
Singun, A. (2025). Unveiling the barriers to digital transformation in higher education institutions: A systematic literature review. Discover Education, 4, Article 37. https://doi.org/10.1007/s44217-025-00430-9
Streiner, D. L. (2003). Starting at the beginning: An introduction to coefficient alpha and internal consistency. Journal of Personality Assessment, 80(1), 99–103. https://doi.org/10.1207/S15327752JPA8001_18
Sullivan, G. M., & Artino, A. R., Jr. (2013). Analyzing and interpreting data from Likert-type scales. Journal of Graduate Medical Education, 5(4), 541–542. https://doi.org/10.4300/JGME-5-4-18
Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach’s alpha. International Journal of Medical Education, 2, 53–55. https://doi.org/10.5116/ijme.4dfb.8dfd
UNESCO. (2023). Global education monitoring report 2023: Technology in education: A tool on whose terms? UNESCO. https://doi.org/10.54676/UZQV8501
Weijters, B., Baumgartner, H., & Schillewaert, N. (2013). Reversed item bias: An integrative model. Psychological Methods, 18(3), 320–334. https://doi.org/10.1037/a0032121
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Hak Cipta (c) 2026 Abdurrahman Hi Usman, Sitirahia Hi. Umar, Suhaimi Tegamuni, Nutfah A. M. Arif

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