Optimalisasi Kemampuan Analisis Data Kuantitatif Mahasiswa Melalui Pelatihan SPSS di Universitas Bumigora
DOI:
https://doi.org/10.30812/adma.v6i1.5086Keywords:
Data Kuantitatif, Pelatihan Analisis Data, SPSSAbstract
PKM ini bertujuan untuk meningkatkan kemampuan akademik dan kompetensi teknis maha
siswa dalam analisis data kuantitatif melalui penggunaan perangkat lunak Statistical Package for the
Social Sciences (SPSS). Metode yang diterapkan adalah pendekatan partisipatif dan edukatif, yang
melibatkan 25 mahasiswa dari Fakultas Pendidikan Universitas Bumigora. Pendekatan partisipatif mem
berikan kesempatan kepada mahasiswa untuk terlibat secara langsung dalam setiap tahapan pelatihan,
sementara pendekatan edukatif menekankan pembelajaran berbasis praktik yang bertujuan untuk mem
perkuat keterampilan teknis mahasiswa dalam penggunaan perangkat lunak SPSS. Evaluasi efektivitas
pelatihan dilakukan dengan pre-test dan post-test yang diimplementasikan sebelum dan setelah pelatihan
berlangsung. Hasil analisis data menunjukkan adanya peningkatan yang signifikan pada skor post
test dibandingkan dengan pre-test, yang mengindikasikan bahwa pelatihan ini berhasil memperkuat
pemahaman mahasiswa terhadap konsep dasar statistik dan penerapannya. Peningkatan tersebut juga
mencerminkan kemajuan dalam keterampilan teknis mahasiswa dalam mengolah dan menganalisis data
kuantitatif. Diharapkan kegiatan ini dapat meningkatkan kompetensi mahasiswa dalam analisis data
kuantitatif dan memberikan dasar yang kuat untuk penerapan pengetahuan tersebut dalam konteks
akademik dan profesional.
References
Abatan, S. M., & Olayemi, M. (2014). The role of statistical software in data analysis. International
Journal of Applied Research and Studies (iJARS) ISSN, 2278–9480.
Abu-Bader, S. H. (2021). Using statistical methods in social science research: With a complete
SPSS guide. Oxford University Press.
Abulibdeh, A., Baya Chatti, C., Alkhereibi, A., & El Menshawy, S. (2025). A Scoping Review
of the Strategic Integration of Artificial Intelligence in Higher Education: Transforming
University Excellence Themes and Strategic Planning in the Digital Era [Publisher: Wiley
Online Library]. European Journal of Education, 60(1), e12908. https://doi.org/https:
//doi.org/10.1111/ejed.12908
Ahlin, E. M. (2020). A mixed-methods evaluation of a hybrid course modality to increase student
engagement and mastery of course content in undergraduate research methods classes
[Publisher: Taylor & Francis]. Journal of Criminal Justice Education, 32(1), 22–41. https:
//doi.org/https://doi.org/10.1080/10511253.2020.1831034
Aregaw, Y. G., Endris, E. A., & Bojago, E. (2023). Factors affecting the competence level of
agricultural Extension agents: A comprehensive analysis of core competencies in North
western Ethiopia [Publisher: Wiley Online Library]. Education Research International,
2023(1), 1–21. https://doi.org/https://doi.org/10.1155/2023/7928467
Babbie, E., Wagner-Huang, W. E., & Zaino, J. (2022). Adventures in social research: Data
analysis using IBM SPSS statistics. Sage Publications.
Blaylock, B. K., & Kopf, J. M. (2012). The impact of arithmetic skills on mastery of quantitative
analysis [Publisher: Wiley Online Library]. Education Research International, 2012(1),
1–6. https://doi.org/https://doi.org/10.1155/2012/863286
Bota, M. R., Lede, Y. K., Making, S. R., Patty, E. N., & Iriyani, S. A. (2022). Idenfikasi Kesala
han Siswa Dalam Menyelesaikan Soal Bilangan Berpangkat dan Bentuk Akar. Jurnal
Pendidikan, 23(1), 1–10.
Denis, D. J. (2021). Applied univariate, bivariate, and multivariate statistics: Understanding
statistics for social and natural scientists, with applications in SPSS and R. John Wiley &
Sons.
Friedrich, A., Schreiter, S., Vogel, M., Becker-Genschow, S., Brünken, R., Kuhn, J., Lehmann,
J., & Malone, S. (2024). What shapes statistical and data literacy research in K-12
STEM education? A systematic review of metrics and instructional strategies [Publisher:
Springer]. International Journal of STEM Education, 11(1), 58. https://doi.org/https:
//doi.org/10.1186/s40594-024-00517-z
Hadi, H. S., Faturyani, Marlina, Patty, E. N., & Iriyani, S. A. (2023). Students ’ Mathematical
Communication Ability In View From The Numbered Heads Together ( NHT ) Cooperative
Learning Model Using The Open Ended Approach. 6(2), 374–385. https://doi.org/https:
//doi.org/10.29407/jsp.v6i2.282
Hamid, A. H. A., & Cui, Z. (2024). Data Analysis Skills in Teaching Leadership: A Strategic
Study to Improve Student Learning Outcomes and Digital Literacy. International Journal
of Instructional Cases, 8(1), 309–329.
Harefa, D. E., & Buulolo, T. K. T. (2025). Statistika: Senjata Rahasia Mahasiswa di Era Big
Data. Jurnal Ilmu Ekonomi, Pendidikan dan Teknik, 2(2), 49–54. https://doi.org/https:
//doi.org/10.70134/identik.v2i2.138
Iriyani, S. A., Anggeraini, N., Patty, E. N. S., & Supriantono, H. (2025). Menyusun Buku Ajar
Berkualitas : Pelatihan Praktis untuk Dosen Fakultas Pendidikan Developing Quality
Textbooks : Training Practical Training for Faculty of Education Lecturers. 8(1), 742–747.
https://doi.org/10.56338/jks.v8i1.6561
Iriyani, S. A., Heri Sopian Hadi, Didin Ardian, & Husnul Hafizin. (2023). Analisis Implementasi
Kurikulum Merdeka di SMP Kota Mataram. Indo-MathEdu Intellectuals Journal, 4(3),
2790–2805. https://doi.org/10.54373/imeij.v4i3.651
Kurnia, A. B., Lowrie, T., & Patahuddin, S. M. (2024). The development of high school students’
statistical literacy across grade level [Publisher: Springer]. Mathematics Education Re
search Journal, 36(Suppl 1), 7–35. https://doi.org/https://doi.org/10.1007/s13394-023
00449-x
Lane, F., To, Y., Shelley, K., & Henson, R. (2012). An illustrative example of propensity score
matching with education research [Publisher: Association for Career and Technical
Education Research]. Career and Technical Education Research, 37(3), 187–212. https:
//doi.org/https://doi.org/10.5328/cter37.3.187
Mertler, C. A., Vannatta, R. A., & LaVenia, K. N. (2021). Advanced and multivariate statistical
methods: Practical application and interpretation. Routledge. https://doi.org/https:
//doi.org/10.4324/9781003047223
Nasor, A., Lutfi, A. L., & Prahani, B. K. (2023). Science literacy profile of junior high school
students on context, competencies, and knowledge. IJORER: International Journal of
Recent Educational Research, 4(6), 847–861. https://doi.org/https://doi.org/10.46245/
ijorer.v4i6.436
Putri, D. S., Adha, M. M., & Pitoewas, B. (2020). The problems of implementing blended learning
class in civic education students, University of Lampung. Universal Journal of Educational
Research, 8(3D), 106–114. https://doi.org/10.13189/ujer.2020.081715
Raffaghelli, J. E., Manca, S., Stewart, B., Prinsloo, P., & Sangrà, A. (2020). Supporting the
development of critical data literacies in higher education: Building blocks for fair data
cultures in society [Pages: 1–22 Publication Title: International Journal of Educational
Technology in Higher Education Volume: 17]. https://doi.org/https://doi.org/10.1186/
s41239-020-00235-w
Shamsuddin, F., & Razak, A. Z. A. (2023). Development of a Model for Data-Driven Decision
Making: Critical Skills for School Leaders. Malaysian Journal of Social Sciences and
Humanities (MJSSH), 8(12), e002614–e002614. https://doi.org/https://doi.org/10.47405/
mjssh.v8i12.2614
Sriram, R. (2023). Student affairs by the numbers: Quantitative research and statistics for
professionals. Routledge. https://doi.org/https://doi.org/10.4324/9781003447146
Yasin, M. (2023). The Impact of Research Methodology and Statistics Mastery on the Quality
of Student Theses in Elementary School Teacher Education Department. AL-ISHLAH:
Jurnal Pendidikan, 15(3), 4226–4239. https://doi.org/https://doi.org/10.35445/alishlah.
v15i3.4172
Yurkofsky, M. M., Peterson, A. J., Mehta, J. D., Horwitz-Willis, R., & Frumin, K. M. (2020). Re
search on continuous improvement: Exploring the complexities of managing educational
change [Publisher: SAGE Publications Sage CA: Los Angeles, CA]. Review of Research
in Education, 44(1), 403–433. https://doi.org/https://doi.org/10.3102/0091732X209073
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