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Muhammad Asy'ari
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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 563 Documents
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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.

Page 57 of 57 | Total Record : 563

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