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Pengaruh Model Problem Based Learning Terhadap Kemampuan Pemecahan Masalah Matematis pada Level Sekolah Dasar Irwan Irwan; Muhammad Ilyas; Rahmat Hidayat
Kognitif: Jurnal Riset HOTS Pendidikan Matematika Vol. 3 No. 1 (2023): Januari - Juni 2023
Publisher : Education and Talent Development Center Indonesia (ETDC Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51574/kognitif.v3i1.565

Abstract

Pemecahan masalah merupakan salah satu kemampuan yang harus dikuasai oleh siswa dalam pembelajaran matematika. Kemampuan pemecahan masalah matematis siswa SD Kecamatan Tobadak masih rendah. Kemampuan siswa dalam memecahkan masalah matematika dipengaruhi oleh beberapa faktor, diantaranya adalah penerapan model pembelajaran yang tepat. Salah satu model yang dapat diterapkan adalah model Problem Based Learning. Penelitian ini bertujuan untuk mengetahui apakah terdapat pengaruh model Problem Based Learning terhadap kemampuan pemecahan masalah matematis siswa. Jenis Penelitian ini adalah penelitian eksperimen murni (true experiments) dengan Pre test – Post test Only Control Group Design. Sampel penelitian ini adalah seratus siswa kelas 5 SD Kecamatan Tobadak pada semester genap tahun pelajaran 2021/2022. Pengambilan sampel dilakukan dengan teknik stratified random sampling. Pengambilan data dilakukan dengan menggunakan tes tertulis dan observasi. Data dianalisis dengan uji statistik melalui analisis data destkriptif untuk mendeskripsikan variabel kemampuan pemecahan masalah matematis siswa, serta uji Independent Sample t-Test untuk menguji hipotesis penelitian. Hasil penelitian menunjukkan rata-rata kemampuan pemecahan masalah matematis siswa sekolah dasar pada kelas eksperimen lebih tinggi dibanding nilai rata-rata pada kelas kontrol. Tingkat kemampuan pemecahan masalah matematis siswa sebagian besar berada pada kategori sedang. Hasil analisis juga menunjukkan bahwa terdapat pengaruh model Problem Based Learning terhadap kemampuan pemecahan masalah matematis siswa.
Exploring students' mathematical reasoning in solving HOTs problems based on thinking styles Marufi Marufi; Muhammad Ilyas; Nur Wahidin Ashari; Tri Bondan Kriswinarso; Salwah Salwah
Journal of Advanced Sciences and Mathematics Education Vol. 4 No. 2 (2024): Journal of Advanced Sciences and Mathematics Education
Publisher : CV. FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/jasme.v4i2.499

Abstract

Background: The advancement of technology has facilitated rapid access to information, yet it poses challenges in discerning accurate information. In this context, critical thinking becomes essential for analyzing and evaluating information. Within mathematics education, exploring students reasoning processes and their alignment with thinking styles is crucial for enhancing problem-solving skills, especially in addressing Higher Order Thinking Skills (HOTS) problems.Aims: This study aims to describe students' mathematical reasoning in solving HOTS problems on the topic of systems of three-variable linear equations, focusing on two distinct thinking styles: Abstract Random and Concrete Sequential.Methods: This qualitative descriptive study was conducted at Cokroaminoto Palopo University with 36 Mathematics Education students. Two subjects, representing each thinking style, were purposively selected based on a thinking style test. Data collection involved mathematical reasoning tests, interviews, and observations, with the researcher serving as the primary instrument.Results: The findings indicate that both Abstract Random and Concrete Sequential subjects demonstrated reasoning abilities that align with all six indicators of mathematical reasoning. Notably, the Abstract Random subject approached problems through hypothesis formation and fractional equations, while the Concrete Sequential subject systematically assigned values and developed mathematical models. Both subjects re-checked their solutions to ensure accuracy.Conclusion: This study concludes that students with both Abstract Random and Concrete Sequential thinking styles exhibit effective mathematical reasoning when solving HOTS problems. These results highlight the importance of tailoring instructional strategies to accommodate diverse thinking styles to enhance students reasoning abilities in mathematics education.
Teachers’ knowledge of subject matter in formal definition of limit at senior high school level Ma'rufi Ma'rufi; Muhammad Ilyas; Salwah Salwah; Nur Wahidin Ashari
Journal of Advanced Sciences and Mathematics Education Vol. 5 No. 2 (2025): Journal of Advanced Sciences and Mathematics Education
Publisher : CV. FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/jasme.v5i2.769

Abstract

Background: Vocational schools in border areas face systemic challenges such as limited infrastructure and poor curriculum-context alignment, hindering effective mathematics instruction and student engagement.Aims: This study investigates how mathematics learning is organized and implemented in a vocational high school situated in the Entikong border area of West Borneo, Indonesia. The research seeks to identify instructional patterns, contextual challenges, and adaptive strategies used by educators under constrained conditions.Method: Using a qualitative case study design, data were gathered through direct classroom observation, semi-structured interviews with teachers and school leaders, and review of official teaching documents. Thematic analysis and data triangulation were employed to ensure rigor and credibility.Results: The analysis highlights a continued reliance on teacher-centered instruction, minimal use of contextual or vocationally integrated methods, and limited student engagement. Assessment practices predominantly measure cognitive outcomes, lacking elements that support student reflection or vocational competencies. Curriculum delivery is often disrupted by time limitations and infrastructural shortfalls.Conclusion: Improving mathematics instruction in border-based vocational schools necessitates flexible teaching models tailored to the local context. Strengthening professional development, embedding authentic assessments, and enhancing school-community collaboration are crucial steps toward addressing educational disparities in underserved regions.