Bagaimana model problem based-learning dapat meningkatkan hasil belajar siswa sekolah dasar?

Hairunisa Nisa; Deni Setiawan; Edi Waluyo

doi:10.61650/jptk.v1i2.145

Authors

Hairunisa Nisa Universitas Negeri Semarang, Indonesia
Deni Setiawan Universitas Negeri Semarang, Indonesia
Edi Waluyo Universitas Negeri Semarang, Indonesia

DOI:

https://doi.org/10.61650/jptk.v1i2.145

Keywords:

Hasil Belajar, Siswa sekolah dasar, pecahan senilai, problem based-learning

Abstract

Pemilihan model pembelajaran yang digunakan oleh pendidik harus adaptif dan mampu meningkatkan prestasi siswa, terutama dalam matematika. Penelitian ini menyelidiki efektivitas model pembelajaran berbasis masalah (PBL) dalam meningkatkan hasil belajar matematika siswa kelas empat di SDN 2 Suntu Kota Bima, dengan fokus pada topik luas yang bernilai. Penelitian tindakan kelas (PTK) ini dilakukan dalam dua siklus, masing-masing terdiri dari empat tahap: perencanaan, pelaksanaan, observasi, dan refleksi. Metode pengumpulan data meliputi observasi, kuesioner, dan tes, yang memberikan gambaran menyeluruh tentang keterlibatan dan kinerja siswa. Kriteria Ketuntasan Minimal (KKM) yang ditetapkan oleh sekolah menjadi tolok ukur keberhasilan. Model PBL diterapkan melalui kegiatan kelompok kolaboratif di mana siswa terlibat dalam memecahkan masalah nyata terkait pecahan, yang mendorong pemahaman individu dan kerja sama tim. Hasil penelitian menunjukkan peningkatan yang signifikan dalam aktivitas dan hasil belajar siswa. Awalnya, 60% siswa memenuhi standar KKM; namun, pada akhir siklus kedua, angka ini meningkat menjadi 85%. Siswa menunjukkan kerja sama yang lebih baik dalam kelompok dan pemahaman yang lebih mendalam tentang pecahan layak, sebagaimana dibuktikan oleh peningkatan skor tes mereka. Selain itu, umpan balik kualitatif dari kuesioner menunjukkan peningkatan minat dan motivasi siswa dalam mempelajari matematika melalui pendekatan PBL. Kesimpulannya, penerapan model PBL secara signifikan meningkatkan hasil belajar matematika siswa kelas empat di SDN 2 Suntu Kota Bima. Penelitian ini menekankan nilai PBL dalam memupuk lingkungan belajar kolaboratif dan mencapai peningkatan akademik yang substansial dalam pendidikan dasar.

Downloads

Download data is not yet available.

References

Abraham, J. P. (2021). Clinical Validation of a Machine-learning–derived Signature Predictive of Outcomes from First-line Oxaliplatin-based Chemotherapy in Advanced Colorectal Cancer. Clinical Cancer Research, 27(4), 1174–1183. https://doi.org/10.1158/1078-0432.CCR-20-3286

Alaka, S. A. (2020). Functional Outcome Prediction in Ischemic Stroke: A Comparison of Machine Learning Algorithms and Regression Models. Frontiers in Neurology, 11. https://doi.org/10.3389/fneur.2020.00889

Barnett-Itzhaki, Z. (2020). Machine learning vs. classic statistics for the prediction of IVF outcomes. Journal of Assisted Reproduction and Genetics, 37(10), 2405–2412. https://doi.org/10.1007/s10815-020-01908-1

Blewitt, C. (2020). Do curriculum‐based social and emotional learning programs in early childhood education and care strengthen teacher outcomes? A systematic literature review. International Journal of Environmental Research and Public Health, 17(3). https://doi.org/10.3390/ijerph17031049

Dahliani, L. (2024). Media pembelajaran pertumbuhan tanaman hidroponik menggunakan demonstrasi dan discovery learning berbasis Aplikasi Canva: Studi Kasus di Era Digital. Jurnal Penelitian Tindakan Kelas, 1(3), 144–151.

Darmayanti, R., Sugianto, R., Muhammad, Y., & da Silva Santiago, P. V. (2022). Analysis of Students’ Adaptive Reasoning Ability in Solving HOTS Problems Arithmetic Sequences and Series in Terms of Learning Style. Numerical: Jurnal Matematika Dan Pendidikan Matematika, 73–90.

Groot, O. Q. (2021). Availability and reporting quality of external validations of machine-learning prediction models with orthopedic surgical outcomes: a systematic review. Acta Orthopaedica, 92(4), 385–393. https://doi.org/10.1080/17453674.2021.1910448

Heo, T. S. (2020). Prediction of stroke outcome using natural language processing-based machine learning of radiology report of brain MRI. Journal of Personalized Medicine, 10(4), 1–11. https://doi.org/10.3390/jpm10040286

Hilbert, K. (2020). Predicting cognitive behavioral therapy outcome in the outpatient sector based on clinical routine data: A machine learning approach. Behaviour Research and Therapy, 124. https://doi.org/10.1016/j.brat.2019.103530

Karyadi, A. C., & Jannah, R. (2023). Meningkatkan Kemampuan Motorik Kasar Anak Usia 4-5 Tahun Melalui Permainan Dampu Bulan. Jurnal Penelitian Tindakan Kelas, 1, 53–56.

Lacka, E. (2021). Examining the impact of digital technologies on students’ higher education outcomes: the case of the virtual learning environment and social media. Studies in Higher Education, 46(8), 1621–1634. https://doi.org/10.1080/03075079.2019.1698533

Lange, I. (2020). Neural responses during extinction learning predict exposure therapy outcome in phobia: results from a randomized-controlled trial. Neuropsychopharmacology, 45(3), 534–541. https://doi.org/10.1038/s41386-019-0467-8

Lestari, W. P., Ningsih, E. F., Choirudin, C., Sugianto, R., & Lestari, A. S. B. (2023). Efektivitas Model Pembelajaran Kooperatif Dengan Pendekatan Contextual Teaching and Learning (CTL) Terhadap Hasil Belajar Matematika. Jurnal Penelitian Tindakan Kelas, 1, 28–33.

Logan, R. M. (2021). Development of an e-learning module to facilitate student learning and outcomes. Teaching and Learning in Nursing, 16(2), 139–142. https://doi.org/10.1016/j.teln.2020.10.007

Ma, X. (2021). Effect of blended learning with BOPPPS model on Chinese student outcomes and perceptions in an introduction course of health services management. Advances in Physiology Education, 45(2), 409–417. https://doi.org/10.1152/ADVAN.00180.2020

Marquart, K. F. (2021). Predicting base editing outcomes with an attention-based deep learning algorithm trained on high-throughput target library screens. Nature Communications, 12(1). https://doi.org/10.1038/s41467-021-25375-z

Muhammad, I., Angraini, L. M., Darmayanti, R., Sugianto, R., Usmiyatun, U., & ... (2023). Students’ Interest in Learning Mathematics Using Augmented Reality: Rasch Model Analysis. Edutechnium Journal of Educational Technology, 1(1), 89–99.

Muhammad, I., Darmayanti, R., & Sugianto, R. (2023). Teori Vygotsky: Kajian bibliometrik penelitian cooperative learning di sekolah dasar (1987-2023). Bulletin of Educational Management and Innovation, 1(2), 81–98.

Mustakim, A., Wawan, W., Choirudin, C., Ngaliyah, J., & Darmayanti, R. (2023). Quantum Teaching Model: Untuk Meningkatkan Hasil Belajar Matematika Siswa MTs. Jurnal Penelitian Tindakan Kelas, 1(1), 6–10.

Naik, G. (2020). Impact of use of technology on student learning outcomes: Evidence from a large-scale experiment in India. World Development, 127. https://doi.org/10.1016/j.worlddev.2019.104736

Ng, O. L. (2020). Exploring differences in primary students’ geometry learning outcomes in two technology-enhanced environments: dynamic geometry and 3D printing. International Journal of STEM Education, 7(1). https://doi.org/10.1186/s40594-020-00244-1

Pham, Q. T. (2020). The acceptance of e-learning systems and the learning outcome of students at universities in Vietnam. Knowledge Management and E-Learning, 12(1), 63–84. https://doi.org/10.34105/j.kmel.2020.12.004

Rossi, I. V. (2021). Active learning tools improve the learning outcomes, scientific attitude, and critical thinking in higher education: Experiences in an online course during the COVID-19 pandemic. Biochemistry and Molecular Biology Education, 49(6), 888–903. https://doi.org/10.1002/bmb.21574

Safitri, E., Setiawan, A., & Darmayanti, R. (2023). Eksperimentasi Model Pembelajaran Problem Based Learning Berbantuan Kahoot Terhadap Kepercayaan Diri Dan Prestasi Belajar. Jurnal Penelitian Tindakan Kelas, 1(2), 57–61.

Safitri, E., Setiawan, A., Darmayanti, R., & Wardana, M. R. F. (2023). Pinokio dalam Pembelajaran Matematika Materi Geometri untuk Siswa SMP. Jurnal Penelitian Tindakan Kelas, 1(2), 106–113.

Safitri, N. D., Afifah, A., & Rahmah, K. (2023). Bagaimana konsep warna diperkenalkan dengan media Bunga Pelangi? Jurnal Penelitian Tindakan Kelas, 2.

Shi, Y. (2020). College Students’ Cognitive Learning Outcomes in Technology-Enabled Active Learning Environments: A Meta-Analysis of the Empirical Literature. Journal of Educational Computing Research, 58(4), 791–817. https://doi.org/10.1177/0735633119881477

Solehudin, R. H., & Darmayanti, R. (2018). Does token economy behaviour modification affect young children’s discipline? Jurnal Caksana: Pendidikan Anak Usia Dini, 1(2), 202–215.

Sun, C. (2022). The relationship between collaborative problem solving behaviors and solution outcomes in a game-based learning environment. Computers in Human Behavior, 128. https://doi.org/10.1016/j.chb.2021.107120

Syaifuddin, M., Darmayanti, R., & Rizki, N. (2022). Development of a two-tier multiple-choice (TTMC) diagnostic test for geometry materials to identify misconceptions of middle school students. Jurnal Silogisme: Kajian Ilmu Matematika Dan Pembelajarannya, 7(2).

Triono, T., Darmayanti, R., & Saputra, N. D. (2023). Vos Viewer and Publish or Perish: Instruction and assistance in using both applications to enable the development of research mapping. Jurnal Dedikasi, 2.

Triono, T., Darmayanti, R., Saputra, N. D., Afifah, A., & Makwana, G. (2023). Open Journal System: Assistance and training in submitting scientific journals to be well-indexed in Google Scholar. Jurnal Inovasi Dan Pengembangan Hasil Pengabdian Masyarakat, 2, 106–114.

Wallace, D. M. (2021). Just what do we think we are doing? Learning outcomes of leader and leadership development. Leadership Quarterly, 32(5). https://doi.org/10.1016/j.leaqua.2020.101494

Wang, R. (2021). How Do University Students’ Perceptions of the Instructor’s Role Influence Their Learning Outcomes and Satisfaction in Cloud-Based Virtual Classrooms During the COVID-19 Pandemic? Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.627443

Wang, W. (2020). Prediction of fundraising outcomes for crowdfunding projects based on deep learning: a multimodel comparative study. Soft Computing, 24(11), 8323–8341. https://doi.org/10.1007/s00500-020-04822-x

Yulianeta, Y., Faisol, M., & Hazarika, A. (2024). Apakah penggunaan role play sebagai salah satu metode untuk meningkatkan kemampuan berbicara siswa efektif? Jurnal Penelitian Tindakan Kelas, 3.

Zhou, Y. (2020). The detection of age groups by dynamic gait outcomes using machine learning approaches. Scientific Reports, 10(1). https://doi.org/10.1038/s41598-020-61423-2