Pembelajaran Matematika di SMK KP Baleendah: Suatu Studi Kasus tentang Mutu Pembelajaran

Authors

  • Winda Wulandari Universitas Islam Nusantara, Bandung, Indonesia
  • Ahmad Rifandi Universitas Islam Nusantara, Bandung, Indonesia

DOI:

https://doi.org/10.38035/jmpis.v7i4.8401

Keywords:

Mutu Pembelajaran, Matematika SMK, Studi Kasus, Kurikulum Merdeka, Pembelajaran Kontekstual

Abstract

Penelitian ini bertujuan untuk menganalisis mutu pembelajaran matematika di SMK KP Baleendah melalui pendekatan studi kasus kualitatif. Fokus penelitian diarahkan pada lima aspek utama, yaitu keterampilan mengajar guru, kejelasan tujuan dan standar pembelajaran, kesesuaian beban belajar, keterbukaan guru terhadap siswa, serta penerapan prinsip kebebasan belajar. Data dikumpulkan melalui wawancara mendalam, observasi partisipatif, dan studi dokumentasi, kemudian dianalisis menggunakan model interaktif Miles, Huberman, dan Saldaña. Hasil penelitian menunjukkan bahwa mutu pembelajaran matematika secara umum berada pada kategori baik, terutama dalam aspek kejelasan penyampaian materi, kesesuaian tujuan pembelajaran dengan Kurikulum Merdeka, serta interaksi yang terbuka antara guru dan siswa. Namun demikian, pembelajaran masih menghadapi beberapa keterbatasan, seperti dominasi pendekatan prosedural, keterbatasan penggunaan media berbasis teknologi, serta minimnya penerapan soal berbasis masalah nyata. Selain itu, praktik diferensiasi pembelajaran dan penerapan prinsip kebebasan belajar belum berjalan secara konsisten di semua tingkat kelas. Temuan ini mengindikasikan bahwa peningkatan mutu pembelajaran matematika di pendidikan vokasi tidak hanya bergantung pada perencanaan kurikulum, tetapi juga pada kualitas implementasi pembelajaran yang kontekstual, adaptif, dan berpusat pada siswa. Oleh karena itu, diperlukan penguatan pada integrasi konteks dunia kerja, pemanfaatan teknologi, serta pengembangan strategi pembelajaran yang lebih inovatif untuk meningkatkan relevansi dan efektivitas pembelajaran matematika di SMK.

References

Adrias, & Ruswandi, A. (2025). Desain Penelitian Kuantitatif Kualitatif dan Mix Method. Rajawali Pers.

Akkerman, S. F., & Bakker, A. (2011). Boundary Crossing and Boundary Objects. Review of Educational Research, 81(2), 132–169. https://doi.org/10.3102/0034654311404435

Black, P., & Wiliam, D. (1998). Assessment and Classroom Learning. Assessment in Education: Principles, Policy & Practice, 5(1), 7–74. https://doi.org/10.1080/0969595980050102

Boaler, J. (2015). Mathematical mindsets: Unleashing students’ potential through creative math, inspiring messages and innovative teaching. John Wiley & Sons.

Bowen, G. A. (2009). Document analysis as a qualitative research method. Qualitative Research Journal, 9(2), 27–40. https://doi.org/10.3316/QRJ0902027

Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa

Brookhart, S. M. (2010). How to assess higher-order thinking skills in your classroom. Ascd.

Bybee, R. W. (2013). The case for STEM education: Challenges and opportunities.

Creswell, J. W., & Poth, C. N. (2018). Qualitative Inquiry and Research Design: Choosing among five approaches. SAGES Publication. Inc.

Dalby, D., & Noyes, A. (2015). Connecting Mathematics Teaching with Vocational Learning. Adults Learning Mathematics, 10(1), 40–49.

Denzin, N. K., & Lincoln, Y. S. (2011). The Sage handbook of qualitative research. sage.

Drijvers, P. (2019). Embodied instrumentation: Combining different views on using digital technology in mathematics education. Eleventh Congress of the European Society for Research in Mathematics Education, 1.

English, L. D. (2016). STEM education K-12: perspectives on integration. International Journal of STEM Education, 3(1), 3. https://doi.org/10.1186/s40594-016-0036-1

Fosnot, C. T. (2013). Constructivism: Theory, perspectives, and practice. Teachers College Press.

Graven, M., & Venkat, H. (2017). Advocating linked research and development in the primary mathematics education landscape in contexts of poverty. In Improving Primary Mathematics Education, Teaching and Learning: Research for Development in Resource-Constrained Contexts (pp. 11–23). Springer.

Hattie, J. (2012). Visible learning for teachers: Maximizing impact on learning. Routledge.

Hmelo-Silver, C. E. (2004). Problem-Based Learning: What and How Do Students Learn? Educational Psychology Review, 16(3), 235–266. https://doi.org/10.1023/B:EDPR.0000034022.16470.f3

Hoyles, C., Noss, R., Kent, P., & Bakker, A. (2010). Improving mathematics at work: The need for techno-mathematical literacies. Routledge.

K Robert, Y. (2018). Case study research and applications design and methods.

Kvale, S., & Brinkmann, S. (2009). Interviews: Learning the craft of qualitative research interviewing. sage.

Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. Sage Publications.

Miles, M. B., Huberman, A. M., & Saldana, J. (2014). Qualitative data analysis: A methods sourcebook. SAGE Publications Sage CA: Los Angeles, CA.

Niss, M., & Højgaard, T. (2019). Mathematical competencies revisited. Educational Studies in Mathematics, 102(1), 9–28. https://doi.org/10.1007/s10649-019-09903-9

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), 1609406917733847. https://doi.org/10.1177/1609406917733847

Palinkas, L. A., Horwitz, S. M., Green, C. A., Wisdom, J. P., Duan, N., & Hoagwood, K. (2015). Purposeful Sampling for Qualitative Data Collection and Analysis in Mixed Method Implementation Research. Administration and Policy in Mental Health and Mental Health Services Research, 42(5), 533–544. https://doi.org/10.1007/s10488-013-0528-y

Patton, M. Q. (2014). Qualitative research & evaluation methods: Integrating theory and practice. Sage publications.

Pierce, R., & Stacey, K. (2010). Mapping Pedagogical Opportunities Provided by Mathematics Analysis Software. International Journal of Computers for Mathematical Learning, 15(1), 1–20. https://doi.org/10.1007/s10758-010-9158-6

Ryan, R. M., & Deci, E. L. (2000). Intrinsic and Extrinsic Motivations: Classic Definitions and New Directions. Contemporary Educational Psychology, 25(1), 54–67. https://doi.org/https://doi.org/10.1006/ceps.1999.1020

Savery, J. R. (2017). Overview of problem-based learning. Foundations of Learning and Instructional Design Technology.

Schoenfeld, A. H. (2016). Learning to Think Mathematically: Problem Solving, Metacognition, and Sense Making in Mathematics (Reprint). Journal of Education, 196(2), 1–38. https://doi.org/10.1177/002205741619600202

Smale-Jacobse, A. E., Meijer, A., Helms-Lorenz, M., & Maulana, R. (2019). Differentiated instruction in secondary education: A systematic review of research evidence. Frontiers in Psychology, 10, 472176.

Spradley, J. P. (2016). Participant observation. Waveland Press.

Tisdell, E. J., Merriam, S. B., & Stuckey-Peyrot, H. L. (2025). Qualitative research: A guide to design and implementation. John Wiley & Sons.

Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes (Vol. 86). Harvard university press.

Wheelahan, L. (2015). Not just skills: What a focus on knowledge means for vocational education. Journal of Curriculum Studies, 47(6), 750–762. https://doi.org/10.1080/00220272.2015.1089942

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Published

2026-06-21

How to Cite

Wulandari, W., & Rifandi, A. (2026). Pembelajaran Matematika di SMK KP Baleendah: Suatu Studi Kasus tentang Mutu Pembelajaran. Jurnal Manajemen Pendidikan Dan Ilmu Sosial, 7(4), 3036–3046. https://doi.org/10.38035/jmpis.v7i4.8401