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Prisma Sains: Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram
Published by Universitas Pendidikan Mandalika
ISSN : 25407899     EISSN : 23384530     DOI : https://doi.org/10.33394/j-ps
Core Subject : Science, Education, Social, Engineering,
Biochemistry, Genetics & Molecular Biology Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Mathematics Physics Other
J-PS (Prisma Sains: Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram) was published by the Faculty of Science, Engineering, and Applied Science Universitas Pendidikan Mandalika. J-PS containing scientific articles in the form of research and literature.
Arjuna Subject : Ilmu Sosial - Pendidikan
Articles 7 Documents
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Search results for , issue "Vol. 14 No. 2: April 2026" : 7 Documents clear
Mapping Students' Science Literacy Skills Using Local Wisdom-Based Physics Instruments Alhusni, Hanan Zaki; Prahani, Binar Kurnia; Sunarti, Titin; Madlazim, Madlazim; Kurtuluş, Muhammed Akif
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol. 14 No. 2: April 2026
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v14i2.17680

Abstract

This study addresses Indonesian students’ low scientific literacy (PISA 2022) by developing and validating a Tari Boranan Lamongan–contextualized physics assessment instrument on rigid body equilibrium. Existing PISA-aligned tests are rarely embedded in local culture. At the same time, local wisdom materials often do not measure all eight PISA scientific literacy indicators, creating a gap for culturally resonant yet comprehensive diagnostic tools. This study aimed to (1) develop and validate an eight-indicator, PISA-aligned scientific literacy instrument, (2) map Grade XI students’ literacy profiles across the eight indicators, and (3) explore how the Boranan context shapes students’ engagement and reasoning. Using a mixed-method embedded design, 73 Grade XI students in Lamongan Regency completed eight essay-based literacy tasks, and ten students participated in semi-structured interviews. Expert validation indicated high content relevance, cultural authenticity, and indicator alignment, and reliability analysis yielded Cronbach’s alpha = 0.82. Results showed most students were in the very low and low categories, with relative strengths in interpreting data (45%) and explaining phenomena (38%), but pronounced weaknesses in designing investigations (28%), evaluating credibility of information (25%), and making evidence-based decisions (30%). Interviews confirmed that cultural context enhanced engagement and visualization but did not automatically support mathematical formalization. These findings suggest that the instrument can be used diagnostically to help teachers design targeted scaffolding for higher-order literacy skills, particularly in investigation design, credibility evaluation, and evidence-based decision-making, within culturally responsive physics learning.
Collaborative Learning Model of the PBL Type with a Scientific Approach to Improve Mathematical Problem-Solving Skills and Self-Regulated Learning of Students Risna Amelia; Kuswari Hernawati; Jailani; Wahyu Setyaningrum
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol. 14 No. 2: April 2026
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v14i2.17840

Abstract

21st-century education requires students to master mathematical problem-solving skills and self-regulated learning (SRL), but these skills remain a challenge for junior high school students in Indonesia. This study aims to examine the impact of implementing a Collaborative Learning Model of the PBL combined with a scientific approach (observing, questioning, reasoning/trying, communicating) on students' mathematical problem-solving skills and SRL. The study used a pre-experimental method with a One-Group Pretest–Posttest design on 31 seventh-grade students at a junior high school in Sleman Regency. Data on problem-solving skills were collected through a 5-item essay test with a maximum theoretical score of 50, while SRL was measured using a Likert scale questionnaire. Inferential analysis used the Wilcoxon signed-rank test for problem-solving skills (the assumption of normality was not met) and the paired sample t-test for SRL. The results showed a significant increase in problem-solving skills from 15.32 to 30.92 ( ), with posttest achievement equivalent to 61.84% of the theoretical maximum score. SRL also increased significantly from 121.81 to 122.74 ( ), although the mean difference was relatively small compared to the scale range. These findings indicate changes in students’ achievement after the intervention; however, the results should be interpreted cautiously due to the short intervention duration and the limitations of the one-group pretest–posttest design without a control group.
Conceptual and Transformational Errors in Solving Non-Routine Algebra Problems: A Newman’s Error Analysis of Junior High School Students Farabibah, Anugrah Tegar Putra; Suryanti, Sri
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol. 14 No. 2: April 2026
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v14i2.19366

Abstract

This study investigates the types and underlying causes of students’ errors when evaluating non-routine algebraic problems that present procedurally plausible but logically invalid solution steps. The participants were 37 ninth-grade junior high school students from East Java, Indonesia, who had previously studied basic algebraic operations. Data were collected through a diagnostic task involving an algebraic fallacy that leads to a contradictory conclusion (e.g., 2 = 3), followed by semi-structured interviews with selected students. The analysis was guided by Newman’s Error Analysis (NEA), focusing on reading, comprehension, transformation, process skills, and encoding errors. Students’ written responses were independently coded by the researchers using predefined NEA indicators, and discrepancies were resolved through discussion. Descriptive statistics were used to summarize error frequencies, while interview data were analyzed qualitatively to explore students’ reasoning. The results indicate that transformation errors were the most dominant, occurring in 48.64% of students’ responses, particularly due to inappropriate cancellation of algebraic factors without considering domain restrictions. Many students accepted contradictory conclusions such as 2 = 3 or 3 = 2 as valid, as long as the solution steps appeared procedurally correct. These findings suggest that students tend to rely on mechanical algebraic procedures rather than validating the conceptual legitimacy of each transformation. The study highlights the importance of emphasizing equivalence-preserving transformations and domain conditions in algebra instruction, especially through non-routine tasks that require justification and critical validation of solution steps.
Effectiveness of a Web-Based Guided Inquiry Platform on Dynamic Fluid Material to Improve Students' Critical Thinking Skills Barakah, Nadia; Suyidno, Suyidno; Mahtari, Saiyidah
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol. 14 No. 2: April 2026
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v14i2.18129

Abstract

This study investigates the improvement of students’ critical thinking skills following the implementation of a web-based learning platform integrated with a guided inquiry model on dynamic fluid topics. The study employed a pre-experimental one-group pretest–posttest design involving 30 Grade XI students at a public senior high school in Banjarmasin, Indonesia. Students’ critical thinking skills were measured using an essay-based test developed based on Ennis’ critical thinking framework, covering interpretation, analysis, inference, evaluation, and explanation. The maximum possible score was 100, with student responses scored using an analytical rubric and converted to a percentage scale. Data were analyzed using normalized gain (N-Gain) and a paired-sample t-test. The results showed an increase in the mean score from 3.82 on the pretest to 79.69 on the posttest, with an N-Gain of 0.74 (high category). The paired-sample t-test indicated a statistically significant difference between pretest and posttest scores (p < 0.05), suggesting a substantial improvement in students’ critical thinking skills after the intervention. Improvements were observed across all critical thinking indicators, particularly in analysis and evaluation. Although the findings indicate positive learning gains, the use of a one-group pretest–posttest design limits causal interpretation. Nevertheless, the results suggest that web-based guided inquiry learning has the potential to support the development of students’ critical thinking skills in physics learning, especially for abstract topics such as dynamic fluids.
Analysis of Teacher Needs Towards the Development of STEM-PjBL Based Alternative Energy Learning to Improve Creative Problem Solving Irma Sari, Fatma; Herlina, Kartini; Rosidin, Undang; Distrik, I Wayan; Festiana, Ike
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol. 14 No. 2: April 2026
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v14i2.19051

Abstract

Alternative energy learning in high school is still dominated by theoretical and teacher-centered approaches, thus not providing enough space for students to develop higher-order thinking skills, especially Creative Problem Solving (CPS). The integration of the STEM approach through Project-Based Learning (PjBL) has the potential to support more contextual and problem-oriented learning. However, learning development needs to be based on a systematic needs analysis. This study aims to describe the needs of teachers towards the development of STEM-PjBL-based learning in improving students' creative problem solving on the topic of alternative energy. This study involved 27 Physics teachers in Lampung Province. The method used in this study was a quantitative method. Data were collected using a questionnaire. Data were analyzed using descriptive analysis. The results of the needs analysis showed that 33% of teachers used the STEM-PjBL learning model, around 48.1% of teachers used STEM-PjBL integrated student worksheets (LKPD), and 63% of teachers still used printed books as learning resources. The teaching materials used have not been able to improve students' creative problem-solving, where 96.3% of teachers needed student worksheets that could improve these abilities. Based on the results of the needs analysis that has been carried out, most teachers showed a positive perception towards the development of STEM-PjBL-based learning to improve students' creative problem-solving on the topic of alternative energy.
Impact of Ethnomathematics-Based Learning on Mbojo Students’ Mathematical Communication Skills in Indonesia Mariamah, Mariamah
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol. 14 No. 2: April 2026
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v14i2.19875

Abstract

Mathematical communication skills are essential for students to express ideas and mathematical reasoning effectively. However, students’ mathematical communication skills remain low. This study aims to examine the effect of ethnomathematics-based learning on students’ mathematical communication skills. This research employed a quasi-experimental method using a one-group posttest-only design. The population consisted of 15 fourth-grade students, all of whom were selected as the sample. The instrument used was a test to measure mathematical communication skills. Data were analyzed using a one-sample t-test with a benchmark value of 70 based on the Minimum Mastery Criteria. The results showed that the calculated t-value was 2.822, which is higher than the t-table value of 1.76131 at a 5% significance level (df = 14). This indicates that students’ mathematical communication skills are significantly higher than the benchmark. Therefore, ethnomathematics-based learning has a positive effect on students’ mathematical communication skills.
Prediction of Tropical Cyclone Trajectory and Intensity Using a Particle Motion Based Machine Learning Framework in the Southern Indian Samiaji, Budi Iman; Yulkifli, Yulkifli; Yohandri, Yohandri; Yendri Sudiar, Nofi; Supari, Supari
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol. 14 No. 2: April 2026
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v14i2.19982

Abstract

Tropical cyclones in the Southern Indian Ocean pose severe threats to coastal infrastructure and socio-economic stability, yet predicting their recurving trajectories and intensity remains a significant meteorological challenge. This study evaluates the performance of a particle-motion-based machine learning framework, utilizing the Trackpy library, to forecast cyclone behavior. Leveraging historical data from 2018 to 2025 (JTWC and IBTrACS), the model treats cyclones as physical particles with temporal inertia, employing a multi-lag feature to capture movement momentum. Evaluation using a dataset of 115 cyclones (78:22 train/test ratio) reveals that the Trackpy framework achieves high spatial precision, with Mean Squared Error (MSE) values of 0.1728 for latitude (±33.3 km) and 1.0250 for longitude (±53.2 km). While the intensity prediction yielded a higher MSE of 47.7544 (approximately 6.9-knot deviation), the model successfully captured major strengthening and weakening phases across prominent cyclones, including TC Wallace and TC Neville. These findings demonstrate that integrating temporal inertia is highly effective for maintaining trajectory consistency, establishing Trackpy as a robust architectural foundation for operational forecasting. Further optimization via hybrid models and additional meteorological variables is recommended to enhance intensity accuracy.

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