Pelatihan Analisis Statistik Menggunakan Website Interaktif Untuk Mendukung Pengambilan Keputusan Berbasis Data Pendidikan Bagi Guru Sma Matematika Di Kabupaten Sukabumi
DOI:
https://doi.org/10.21009/sarwahita.231.04Keywords:
community service, statistical analysis, interactive website, educational data, teachers’ statistical literacyAbstract
The primary challenge in educational decision-making lies in the low level of statistical literacy and teachers’ limited skills in data analysis, particularly in utilizing interactive technologies. This is evidenced by the pre-training questionnaire results, where the majority of teachers expressed uncertainty or disagreement regarding their sufficient knowledge of statistical analysis, and most had never used interactive web-based tools for data analysis. This community service program aimed to enhance teachers’ statistical literacy through data analysis training using an interactive website based on R-Shiny. The activity was conducted on August 13, 2025, involving high school mathematics teachers in Sukabumi Regency, in collaboration with the Mathematics Teachers’ Working Group (MGMP) as a strategic partner. The training materials covered descriptive statistics, inferential statistics, hypothesis testing, and regression analysis. Post-training evaluation results indicated an improvement in both knowledge and skills. Specifically, 75% of participants strongly agreed that they gained new knowledge and skills beneficial for data-driven decision-making. In addition, more than 80% of participants reported that the materials were easy to understand, well-structured, relevant to their needs, and that the application/website was user-friendly. In conclusion, the use of interactive technology-based training is effective in improving teachers’ knowledge and competencies, particularly in statistical literacy, while also enhancing motivation and fostering a culture of data-driven decision-making in schools.
References
Cleveland, W. S., & McGill, R. (1984). Graphical Perception: Theory, Experimentation, and Application to the Development of Graphical Methods. Journal of the American Statistical Association, 79(387), 531–554. https://doi.org/10.1080/01621459.1984.10478080
Doi, J., Potter, G., Wong, J., Alcaraz, I., & Chi, P. (2016). Web Application Teaching Tools for Statistics Using R and Shiny. Technology Innovations in Statistics Education, 9(1). https://doi.org/10.5070/T591027492
Fawcett, L. (2018). Using Interactive Shiny Applications to Facilitate Research-Informed Learning and Teaching. Journal of Statistics Education, 26(1), 2–16. https://doi.org/10.1080/10691898.2018.1436999
Gal, I. (2002). Adults’ Statistical Literacy: Meanings, Components, Responsibilities. International Statistical Review, 70(1), 1–25. https://doi.org/10.1111/j.1751-5823.2002.tb00336.x
Gibson, C., Klatzkin, R., & Littlefield, L. (2012). Research Readings and Statistical Exercises Using SPSS and Excel. Chestertown, MD: Washington College.
Hariyanti, F., Budayasa, I. K., & Setianingsih, R. (2025). A portrait of prospective mathematics teachers’ readiness in statistical literacy of school students. Perspectives of Science and Education, 73(1), 190–201. https://doi.org/10.32744/pse.2025.1.12
Jantapaso, N., Chumnaul, J., Thiuthad, P., Masae, M., Kaosaiyaporn, O., & Samart, K. (2023). In-Service Training Using Integrated Smart Web Application for Statistical Analysis in Classroom Research. Journal of Educational and Social Research, 13(2), 115. https://doi.org/10.36941/jesr-2023-0036
Jonsdottir, A. H., & Stefansson, G. (2013). Enhanced Learning with Web-Assisted Education. Retrieved from http://arxiv.org/abs/1310.4667
Kormos, E., & Wisdom, K. (2021). Rural Schools and the Digital Divide: Technology in the Learning Experience. Theory & Practice in Rural Education, 11(1). https://doi.org/10.3776/tpre.2021.v11n1p25-39
Maheswari, M. P., & Anggraini, R. W. (2025). Pelatihan Literasi Digital Bagi Guru Sekolah Dasar di Daerah Terpencil. Jaringan: Jurnal Hasil Kegiatan Pengabdian Kepada Masyarakat, 1(2), 1–8.
Matdoan, M. Y., Talakua, M. W., Lewaherilla, N., Latupeirissa, S. J., & Radjabaycolle, J. E. T. (2021). Penerapan Metode Dan Aplikasi Statistik (SPSS dan Excel) Untuk Meningkatkan Motivasi Guru Dalam Penelitian Dan Publikasi Ilmiah. Jurnal Pengabdian Masyarakat Waradin, 1(2), 92–100.
Prihastari, E. B., Hidayah, I., Masrukan, & Susilo, B. E. (2024). Statistical literacy analysis in primary school teachers candidates in terms of prior ability on mathematics. 020050. https://doi.org/10.1063/5.0194821
Rohmah, n. (n.d.). Literasi digital untuk peningkatan kompetensi guru di era revolusi industri 4.0. Retrieved from https://kalteng.kemenag.go.id/palangkaraya/berita/501146/ini-lima-kompetensi-yang-harus-dimiliki-
Rustam, a. (2016). Training and guidance using spss for teachers’ research data processing applications at kecamatan tanggetada, kolaka southeast sulawesi. Retrieved from https://www.researchgate.net/publication/324679025
Utari, R. S., Putri, R. I. I., Zulkardi, & Hapizah. (2025). Advancing statistical literacy for prospective teachers: A systematic review of contemporary approaches and best practices. Jurnal Elemen, 11(2), 390–407. https://doi.org/10.29408/jel.v11i2.28044
Yurna. (2023). Kompetensi Profesional Guru Terhadap Penguasaan Teknologi Informasi Di SMK Yasti 1 Cisaat Sukabumi. Sanskara Pendidikan Dan Pengajaran, 1(3), 126–133.
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