Pelatihan Analisis Statistik Menggunakan Website Interaktif Untuk Mendukung Pengambilan Keputusan Berbasis Data Pendidikan Bagi Guru Sma Matematika Di Kabupaten Sukabumi

Authors

  • Dania Siregar Universitas Negeri Jakarta, Jl. Rawamangun Muka, Jakarta Timur 13220, Indonesia
  • Suyono Suyono Universitas Negeri Jakarta, Jl. Rawamangun Muka, Jakarta Timur 13220, Indonesia
  • Vera Maya Santi Universitas Negeri Jakarta, Jl. Rawamangun Muka, Jakarta Timur 13220, Indonesia
  • Nilam Novita Sari Universitas Negeri Jakarta, Jl. Rawamangun Muka, Jakarta Timur 13220, Indonesia
  • Auria Yusrin Fathya Universitas Negeri Jakarta, Jl. Rawamangun Muka, Jakarta Timur 13220, Indonesia
  • Sinta Rahmadani Universitas Negeri Jakarta, Jl. Rawamangun Muka, Jakarta Timur 13220, Indonesia
  • Jaisy Aulia Universitas Negeri Jakarta, Jl. Rawamangun Muka, Jakarta Timur 13220, Indonesia
  • Maulida Audia Firdaus Universitas Negeri Jakarta, Jl. Rawamangun Muka, Jakarta Timur 13220, Indonesia

DOI:

https://doi.org/10.21009/sarwahita.231.04

Keywords:

community service, statistical analysis, interactive website, educational data, teachers’ statistical literacy

Abstract

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.

 

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Published

2026-04-30