Persepsi Mahasiswa Terhadap Pemanfaatan Aplikasi Rstudio sebagai Media Bantu Pembelajaran Statistika
Abstract
This study aims to analyze student perceptions regarding the use of RStudio application to analyze ordinal data in statistics learning. The method used in this research is qualitative research. The data in this study are responses from students of the Informatics Engineering Study Program, Faculty of Engineering, Tanjungpura University in the 2022/2023 second semester. The data obtained were then analyzed using thematic data analysis techniques to obtain themes that can describe student perceptions of the use of the RStudio application to analyze ordinal data in statistics learning. This study succeeded in revealing the themes of perception, namely perceptions of Ease of Use, Application Sophistication, Application Usability, and Continuity of Use
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Annisa, S. (2021). Belajar Bahasa Pemrograman C++ Untuk Pemula. Niagahoster Blog, 1.
Ariyanto, D., & Rachmadiarti, F. (2023). Peningkatan Kemampuan Analisis Statistik menggunakan Aplikasi R Studio Berbasis Open Source untuk Kebutuhan Penelitian Dosen di Fakultas Mipa Universitas Negeri Surabaya. Jurnal Umum Pengabdian Masyarakat, 2(1), 13–20.
Bates, A. W. (2019). Teaching in a Digital Age—Second Edition.
Braun, V., & Clarke, V. (2022). THEMATIC ANALYSIS A PRACTICAL GUIDE. In Sage Publications (Vol. 01). SAGE Publication Ltd.
Budiaji, W. (2019). Pengenalan Software R. Makalah Fakultas Ekonomi Universitas Gadjah Mada, 1–10.
Budiharto, W., & Rachmawati, R. N. (2013). Pengantar Praktis Pemrograman R. 3–13.
Fadhli, M. R. (2021). Dasar-Dasar Bahasa Pemrograman R Intro to R - Volume 3 Modul Training. Intro to R Volume 3, 3(November), 0–98.
Fries, L., Son, J. Y., Givvin, K. B., & Stigler, J. W. (2021). Practicing Connections: A Framework to Guide Instructional Design for Developing Understanding in Complex Domains. Educational Psychology Review, 33(2), 739–762. https://doi.org/10.1007/s10648-020-09561-x
Gio, P. U., & Irawan, D. E. (2016). Belajar Statistika dengan R. USU Press, 262.
Hanum, H. (2019). PELATIHAN SOFTWARE R UNTUK ANALISIS STATISTIK1. Jurnal Pengabdian Sriwijaya, 7(2), 754–759. https://doi.org/10.37061/jps.v7i2.9756
Hapsery, A., Pramesti, W., Khotimah, K., & Daimuddin, A. J. (2022). VISUALISASI DATA DENGAN MENGGUNAKAN BAHASA PEMROGRAMAN R STUDIO DI SMK INFORMATIKA TULANGAN SIDOARJO. 5.
Kristiyanti, D. A., Saputra, I., & Rina. (2021). Rain Prediction Clustering in Australia Using the K-Means Algorithm in the Rain Prediction Clustering in Australia Using the K-Means Algorithm in the WEKA and RStudio Application. Semnasif, November, 187–201.
Kronthaler, F., & Zöllner, S. (2021). Data Analysis with RStudio: An Easygoing Introduction. Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-662-62518-7
Nolan, D., & Lang, D. T. (2007). Dynamic, Interactive Documents for Teaching Statistical Practice. International Statistical Review / Revue Internationale de Statistique, 75(3), 295–321.
Nowell, L. S., Norris, J. M., White, D. E., & Moules, N. J. (2017). Thematic Analysis: Striving to Meet the Trustworthiness Criteria. International Journal of Qualitative Methods, 16(1), 160940691773384. https://doi.org/10.1177/1609406917733847
Ridho F.S., M. (2019). Tipe Data Ordinal. Fakultas Komputer Section 2, 1–8.
Rosidi, M. (2019). Metode Numerik Menggunakan R Untuk Teknik Lingkungan. 300.
Sahid. (2005). Pengantar Komputasi Numerik. Pengantar Komputasi Numerik Dengan MATLAB, 51.
Sarvina, Y. (2017). Pemanfaatan Software Open Source “R” Untuk Penelitian Agroklimat. Informatika Pertanian, 26(1), 23. https://doi.org/10.21082/ip.v26n1.2017.p23-30
Sihombing, R. E., Rachmatin, D., & Dahlan, J. A. (2019). Program Aplikasi Bahasa R Untuk Pengelompokan Objek Menggunakan Metode K-Medoids Clustering. Jurnal Eureka Matika, 7(1), 58–79.
Sinollah, S. (2020). Penerapan Software Bahasa R Untuk Meningkatkan Motivasi Dan Pemahaman Statistika Mahasiswa. Jurnal Lemma, 7(1), 6–15. https://doi.org/10.22202/jl.2020.v7i1.4675
Son, J. Y., Blake, A. B., Fries, L., & Stigler, J. W. (2021). Modeling First: Applying Learning Science to the Teaching of Introductory Statistics. Journal of Statistics and Data Science Education, 29(1), 4–21. https://doi.org/10.1080/10691898.2020.1844106
Sussolaikah, K. (2021). Pemanfaatan Packages Pada R Programming Untuk Crawling Data Pada Social Media. Building of Informatics, Technology and Science (BITS), 3(3), 203–206. https://doi.org/10.47065/bits.v3i3.1035
Taqwa, M., & Taufik, A. (2019). Pengembangan Buku Ajar Statistika Dengan Software R Untuk Meningkatkan Motivasi Belajar Dan Pemahaman. HISTOGRAM: Jurnal Pendidikan Matematika, 3(2), 122. https://doi.org/10.31100/histogram.v3i2.449
Tucker, M. C., Shaw, S. T., Son, J. Y., & Stigler, J. W. (2023). Teaching Statistics and Data Analysis with R. Journal of Statistics and Data Science Education, 31(1), 18–32. https://doi.org/10.1080/26939169.2022.2089410
Published
2025-06-28
How to Cite
MARIYADI, Mariyadi.
Persepsi Mahasiswa Terhadap Pemanfaatan Aplikasi Rstudio sebagai Media Bantu Pembelajaran Statistika.
Joined Journal (Journal of Informatics Education), [S.l.], v. 8, n. 1, p. 1-13, june 2025.
ISSN 2620-8415.
Available at: <https://www.e-journal.ivet.ac.id/index.php/jiptika/article/view/3771>. Date accessed: 05 july 2025.
doi: https://doi.org/10.31331/joined.v8i1.3771.
Section
Articles
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
