Kontribusi Resiliensi Matematis terhadap Hasil Belajar Matematika

Authors

  • Muh Fajar Fazriansyah Universitas Cipasung Tasikmalaya
  • Evi Latifatus Sirri Universitas Cipasung Tasikmalaya
  • Ikhsan Faturohman Universitas Cipasung Tasikmalaya

DOI:

https://doi.org/10.30605/proximal.v8i1.5208

Keywords:

Mathematical Resilience, Mathematics Learning Outcomes

Abstract

This study aims to analyze the contribution of mathematical resilience to students' mathematics learning outcomes. Mathematical resilience is defined as the ability of students to persevere, recover, and adapt positively in facing difficulties or challenges in mathematics learning. This study employs a quantitative method using descriptive analysis, correlation analysis, and simple linear regression analysis techniques. The population of this study consists of Grade X students in the 2024/2025 academic year at MAN 3 Tasikmalaya. The sample comprises 30 students from class X-4, selected using a random sampling technique. The results show a significant positive correlation of mathematical resilience to mathematics learning outcomes. Mathematical resilience contributes 24.8% to mathematics learning outcomes, while the remaining 75.2% is determined by other factors. These findings indicate that students with higher levels of mathematical resilience tend to achieve better learning outcomes compared to less resilient students.

Downloads

Download data is not yet available.

References

Amalina, I. K., & Vidákovich, T. (2023). Cognitive and socioeconomic factors that influence the mathematical problem-solving skills of students. Heliyon, 9(9). DOI: https://doi.org/10.1016/j.heliyon.2023.e19539

Ansori, A. (2020). Analisis kemampuan resiliensi dalam meningkatkan kemampuan koneksi matematis siswa. JPMI (Jurnal Pembelajaran Matematika Inovatif), 3(4), 353–362.

Azizah, R. N., & Abadi, A. P. (2022). Kajian pustaka: Resiliensi dalam pembelajaran matematika. Didactical Mathematics, 4(1), 104–110. DOI: https://doi.org/10.31949/dm.v4i1.2061

Cheung, K., Sit, P., Zheng, J., Lam, C., Mak, S., & Ieong, M. (2024). A machine‐learning model of academic resilience in the times of the COVID‐19 pandemic: Evidence drawn from 79 countries/economies in the PISA 2022 mathematics study. British Journal of Educational Psychology, 94(4), 1224–1244. DOI: https://doi.org/10.1111/bjep.12715

Dwirahayu, G., & Satriawati, G. (2022). Analisis Resiliensi Matematis Ditinjau dari Hasil Belajar Matematika Siswa SMA. Jakarta: FITK UIN Syarif Hidayatullah Jakarta.

Hanifah, M. N., & Fatmahanik, U. (2023). Students’ Learning Difficulties in Learning Mathematics in View of Mathematical Resilience. Syekh Nurjati International Conference on Elementary Education, 1, 277–291. DOI: https://doi.org/10.24235/sicee.v1i0.14631

Hartley, M. T. (2012). Assessing and promoting resilience: An additional tool to address the increasing number of college students with psychological problems. Journal of College Counseling, 15(1), 37–51. DOI: https://doi.org/10.1002/j.2161-1882.2012.00004.x

Husnia, D. (2016). Hubungan prokrastinasi akademik terhadap tingkat kecemasan pada mahasiswa Psikologi angkatan 2011 UIN Maliki Malang. Universitas Islam Negeri Maulana Malik Ibrahim.

Hutauruk, A. J. B. (2020). Indikator pembentuk resiliensi matematis mahasiswa prodi pendidikan matematika FKIP. Sepren, 1(02), 78–91. DOI: https://doi.org/10.36655/sepren.v1i02.227

Iman, S. A., & Firmansyah, D. (2020). Pengaruh kemampuan resiliensi matematis terhadap hasil belajar matematika. Prosiding Sesiomadika, 2(1b).

Lee, C., & Johnston-Wilder, S. (2017). The construct of mathematical resilience. In Understanding emotions in mathematical thinking and learning (pp. 269–291). Elsevier. DOI: https://doi.org/10.1016/B978-0-12-802218-4.00010-8

Martin, A. J., & Marsh, H. W. (2006). Academic resilience and its psychological and educational correlates: A construct validity approach. Psychology in the Schools, 43(3), 267–281. DOI: https://doi.org/10.1002/pits.20149

Olson, C., Briscoe, H., & Prior, M. (2022). Grow your academic resilience. Journal of Learning Development in Higher Education, 25. DOI: https://doi.org/10.47408/jldhe.vi25.975

Oszwa, U. (2022). Mathematical Resilience as a Conceptual Framework for School Practice. Multidisciplinary Journal of School Education, 11(1 (21), 99–114. DOI: https://doi.org/10.35765/mjse.2022.1121.05

Rachman, A., Hidayat, E., & Hermanto, R. (2023). Hubungan antara Resiliensi Matematis dan Prestasi Belajar Matematika Peserta Didik kelas X di Madrasah Aliyah Al-Khoeriyah Ciamis. Jurnal Kongruen, 2(4), 178–183.

Salsabila, A., Hasanah, R. U., Sitepu, D. F. S. B., & Hasanah, S. Z. H. (2024). Studi Literatur Review: Analisis Kesulitan Belajar Mahasiswa Pendidikan Matematika. Jurnal Arjuna: Publikasi Ilmu Pendidikan, Bahasa Dan Matematika, 2(3), 19–27. DOI: https://doi.org/10.61132/arjuna.v2i3.777

Serin, H. (2023). Teaching Mathematics: Strategies for Improved Mathematical Performance. International Journal of Social Sciences & Educational Studies, 10(3). DOI: https://doi.org/10.23918/ijsses.v10i3p146

Yeager, D. S., & Dweck, C. S. (2012). Mindsets that promote resilience: When students believe that personal characteristics can be developed. Educational Psychologist, 47(4), 302–314. DOI: https://doi.org/10.1080/00461520.2012.722805

Zanthy, L. S. (2018). Kontribusi resiliensi matematis terhadap kemampuan akademik mahasiswa pada mata kuliah statistika matematika. Mosharafa: Jurnal Pendidikan Matematika, 7(1), 85–94. DOI: https://doi.org/10.31980/mosharafa.v7i1.344

Downloads

Published

2025-01-13

How to Cite

Fazriansyah, M. F., Sirri, E. L., & Faturohman, I. (2025). Kontribusi Resiliensi Matematis terhadap Hasil Belajar Matematika. Proximal: Jurnal Penelitian Matematika Dan Pendidikan Matematika, 8(1), 310–319. https://doi.org/10.30605/proximal.v8i1.5208

Issue

Vol. 8 No. 1 (2025): Integrasi Matematika, Teknologi, dan Budaya dalam Pendidikan dan Aplikasi Terapan

Section

Articles

License

In submitting the manuscript to the journal, the authors certify that:

  • They are authorized by their co-authors to enter into these arrangements.
  • The work described has not been formally published before, except in the form of an abstract or as part of a published lecture, review, thesis, or overlay journal.
  • That it is not under consideration for publication elsewhere,
  • That its publication has been approved by all the author(s) and by the responsible authorities – tacitly or explicitly – of the institutes where the work has been carried out.
  • They secure the right to reproduce any material that has already been published or copyrighted elsewhere.
  • They agree to the following license and copyright agreement.

License and Copyright Agreement

Authors who publish with this journal agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution License (CC BY 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.