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PENGEMBANGAN LKS BANGUN RUANG SISI DATAR BERBASIS POE UNTUK MENINGKATKAN KEMAMPUAN PEMECAHAN MASALAH MATEMATIKA SISWA Salasatun, Qofifah Putri; Pramesti, Santika Lya Diah; Lestiana, Herani Tri
AL-TARBIYAH: Jurnal Pendidikan (The Educational Journal) Vol 31, No 2 (2021)
Publisher : Fakultas Ilmu Tarbiyah dan Keguruan (FITK) UIN Siber Syekh Nurjati Cirebon

AbstrakKemampuan pemecahan masalah matematika dalam pembelajaran matematika merupakan suatu hal yang dibutuhkan oleh siswa. Tujuan penelitian ini adalah untuk mengembangkan bahan ajar berupa LKSÂ berbasis POEÂ yang valid, praktis, dan efektif, serta dapat meningkatkan kemampuan pemecahan masalah matematika siswa materi bangun ruang sisi datar. Jenis penelitian ini adalah Research and Development (R&D) dengan model pengembangan 4D (define, desain, develop, dan disseminate). Namun pada pengembangan lembar kerja siswa ini peneliti hanya menggunakan 3D yang terdiri dari pendefinisian (define), perancangan (desain), dan pengembangan (develop). Tahap define menganalisis awal, siswa, tugas, dan konsep. Tahap desain merancang bahan ajar siswa materi bangun ruang sisi datar. Tahap develop menghasilkan bahan ajar siswa berbasis POE. Berdasarkan hasil penelitian, hasil validasi ahli materi diperoleh rata-rata sebesar 3.39 dengan kriteria valid dan ahli media diperoleh rata-rata sebesar 3.39 dengan kriteria valid. Hasil uji kepraktisan dilihat dari angket respon siswa diperoleh rata-rata sebesar 3,389 dengan kriteria praktis. Hasil uji coba LKS yaitu dari hasil posttest siswa dengan perolehan rata-rata sebesar 73.50 dengan kriteria efektif. Maka LKS berbasis POE (Predict Observe Explain) valid, praktis, dan efektif untuk meningkatkan kemampuan pemecahan masalah matematika siswa.Kata Kunci: 4D, LKS POE, Pemecahan Masalah Matematika AbstractMathematical problem solving ability in learning mathematics is needed by students. The purpose of this research was to develop teaching materials in the form of POE-based materials that were valid, practical, and effective and could improve students' mathematical problem solving abilities in flat-sided geometry material. This type of research was Research and Development (R&D) with a 4D development model (define, design, develop, and disseminate). However, in developing this student worksheet, the researcher only used 3D consisting of defining, designing, and developing. The define stage consisted of initial analysis of the students, assignments, and concepts. The designing stage consisted of designing studentsâ€™ learning materials for flat-sided geometry. In the developing stage, POE-based studentsâ€™ learning materials were produced. Based on the research results, the result of the material expert validation obtained an average of 3.39 showing a valid criterion.Â The result of the practicality test based on studentsâ€™ responses on questionnaires obtained an average of 3.389 reflecting practical criterion. The results of the worksheet field test based on the students' posttest results shows an average of 73.50 belonging to effective criterion. Thus, the POE (Predict Observe Explain)-based worksheet is valid, practical, and effective to improve students' mathematical problem solving abilities.Keywords: 4D, POE worksheet, mathematical problem solving

SELF-REGULATED LEARNING AND COMPUTATIONAL THINKING: ANALYZING THE PERFORMANCE OF JUNIOR HIGH SCHOOL STUDENTS ON PISA-LIKE PROBLEMS Pramesti, Santika Lya Diah; Dewi , Heni Lilia; Mariani, Scolastika; Amrina, Dava
MATEMATIKA DAN PEMBELAJARAN Vol. 13 No. 2 (2025): MATEMATIKA DAN PEMBELAJARAN
Publisher : IAIN Ambon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33477/mp.v13i2.11343

This study investigates the relationship between self-regulated learning (SRL) and computational thinking (CT) in solving PISA-like mathematics problems among junior high school students. Using a qualitative descriptive design, data were collected from 33 ninth-grade students through SRL questionnaires, PISA-like problem-solving tasks, think-aloud protocols, and semi-structured interviews. Students were categorized into three SRL levels: high (12.12%), medium (72.73%), and low (15.15%), with two students from each level selected for in-depth analysis. The analysis focused on four CT indicators: decomposition, pattern recognition, abstraction, and algorithmic thinking. Results showed that students with high SRL demonstrated strong CT performance across all indicators, especially in abstraction and algorithmic thinking. Medium-SRL students showed moderate CT ability, though with inconsistencies in strategy and reasoning. Students with low SRL exhibited weak CT skills and lacked systematic problem-solving approaches. These findings highlight the significant role of SRL in supporting students' ability to apply CT in complex mathematical contexts. Future studies may explore digital SRL scaffolding tools to enhance CT development across diverse mathematical domains.

The Interplay of Talent, Interest, and Teaching Competence: A SEM-PLS Analysis of Pre-Service Mathematics Teachers Lestiana, Herani Tri; Pramesti, Santika Lya Diah
Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika Vol. 9 No. 3 (2025): November
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/pd596x85

Based on Expectancy-Value Theory, talent and interest are often assumed to relate to individual competence. However, few studies have examined talent, interest, and competence simultaneously using SEM-PLS. This study analyzed the direct and indirect relationships among talent, interest, and the teaching competence of prospective mathematics teachers using SEM-PLS. The participants were 87 fifth-semester students in the Mathematics Education Department at UIN Siber Syekh Nurjati Cirebon. Data were collected through an interest questionnaire, a talent test, and teaching-competence observations. The results indicated that talent had a positive but non-significant effect on interest (coefficient = 0.487; p = 0.127) and on teaching competence (coefficient = 0.236; p = 0.531). Interest showed a negative but non-significant effect on teaching competence (coefficient = -0.243; p = 0.289). The mediation test also showed that interest did not significantly mediate the effect of talent on teaching competence (indirect coefficient = -0.118; p = 0.369). The explained variance was 0.237 for interest and 0.059 for competence, indicating that the model accounted for only a small proportion of variance. These findings suggest that teaching competence is more likely shaped through experience and social interaction in educational settings than as a direct outcome of talent or interest. The lack of significant relationships highlights the complexity of teaching-competence development. Practically, teacher education institutions should support talent and interest exploration while strengthening competence development through structured mentoring, early career exploration workshops, and systematic talent identification.

The Interplay of Talent, Interest, and Teaching Competence: A SEM-PLS Analysis of Pre-Service Mathematics Teachers Lestiana, Herani Tri; Pramesti, Santika Lya Diah
Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika Vol. 9 No. 3 (2025): November
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/pd596x85

Based on Expectancy-Value Theory, talent and interest are often assumed to relate to individual competence. However, few studies have examined talent, interest, and competence simultaneously using SEM-PLS. This study analyzed the direct and indirect relationships among talent, interest, and the teaching competence of prospective mathematics teachers using SEM-PLS. The participants were 87 fifth-semester students in the Mathematics Education Department at UIN Siber Syekh Nurjati Cirebon. Data were collected through an interest questionnaire, a talent test, and teaching-competence observations. The results indicated that talent had a positive but non-significant effect on interest (coefficient = 0.487; p = 0.127) and on teaching competence (coefficient = 0.236; p = 0.531). Interest showed a negative but non-significant effect on teaching competence (coefficient = -0.243; p = 0.289). The mediation test also showed that interest did not significantly mediate the effect of talent on teaching competence (indirect coefficient = -0.118; p = 0.369). The explained variance was 0.237 for interest and 0.059 for competence, indicating that the model accounted for only a small proportion of variance. These findings suggest that teaching competence is more likely shaped through experience and social interaction in educational settings than as a direct outcome of talent or interest. The lack of significant relationships highlights the complexity of teaching-competence development. Practically, teacher education institutions should support talent and interest exploration while strengthening competence development through structured mentoring, early career exploration workshops, and systematic talent identification.

Migration of Blockchain Systems to Quantum Resistant Security ECDSA vs NIST MLDSA Pramesti, Santika Lya Diah; Tanjung, Yul Ifda; Aulia, Azwani; Ramadhan, Muhammad Rafly; Versie, Ikyboy Van
Blockchain Frontier Technology Vol. 5 No. 2 (2026): Blockchain Frontier Technology
Publisher : IAIC Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/bfront.v5i2.944

The advent of cryptographically relevant quantum computers poses an existential threat to the security foundations of contemporary blockchain networks, which predominantly rely on the ECDSA for transaction authorization and identity management. Shor’s quantum algorithm can solve the underlying mathematical problems of ECDSA in polynomial time, rendering current ledgers vulnerable to catastrophic asset theft. This study aims to examine the implications of quantum computing on blockchain security by positioning ECDSA and ML-DSA as two generational digital signature standards within the evolving cryptographic landscape. The analysis is conducted through a standards-based comparative approach, focusing on the formal specifications and security objectives outlined in the U.S. NIST post-quantum cryptographic standard FIPS 204. The findings indicate that ECDSA and ML-DSA represent two critical generations of digital signature standards: ECDSA as the legacy cryptographic foundation for current blockchain ecosystems, and ML-DSA (formerly CRYSTALS-Dilithium) as the newly standardized, quantum-resistant successor mandated for future secure systems. This transition underscores the strategic importance of evaluating digital signature algorithms not only as cryptographic primitives but also as formal standards with far-reaching implications for public policy, regulatory compliance, and long-term protocol governance.

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