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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 586 Documents
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Students' Climate Change Literacy: Implementing RBL-STEM Makerspace Materials on Recycling Plastic Waste into Ecobricks Prastiti, Tri Dyah; Novianti, Idha; Wahyuningrum, Endang; Dafik, Dafik; Ridlo, Zainur Rasyid; Mursyidah, Indah Lutfiatul; Safiati, Okti Anis
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.v14i2.20074

Abstract

Climate change is an increasingly significant concern due to rising sea levels and extreme weather events. This phenomenon has made specific regions uninhabitable or unsuitable for agriculture. In addition, promoting climate change literacy is one of the key factors in addressing the posed challenges. Therefore, this research aimed to analyze the implementation of Research-Based Learning with Science, Technology, Engineering, and Mathematics (RBL-STEM) materials to promote students' climate change literacy, using a mixed-methods design. This research employed a mixed-methods design. Quantitative methods were used to analyze climate change literacy, while qualitative methods examined learning activities and phase portraits under the implementation of the materials. The two classes used comprised a control class of 40 students and an experimental class of 42 students. Meanwhile, the instruments used were interviews, questionnaires, and students’ climate change literacy tests. The results showed that there were differences between the control and experimental classes using an independent sample t-test with a sig value (2-tailed) of 0.0048 (<0.05). In the context of this research, the implementation of the materials promoted students’ climate change literacy in recycling plastic waste into ecobricks.
Ambulance Siren Audio Classification Using Convolutional Neural Network for Medical Emergency Detection Paninggalih, Ramadhan; Prihasto, Bima; Pratama, Maryo Inri; Ramadhana, Rizky Irswanda; Misbahuddin, Misbahuddin; Anshari, Buan; Akbar, Lalu Ahmad Syamsul Irfan; Wiriasto, Giri Wahyu
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.v14i2.20099

Abstract

The rapid detection of emergency vehicle sirens is critical for enhancing road safety and traffic management. This study proposes an automated classification system for ambulance sirens using a Convolutional Neural Network (CNN). The method utilizes Mel-Frequency Cepstral Coefficients (MFCC) to transform audio signals into 2D feature maps, allowing the model to capture distinct spectral and temporal patterns. The dataset was preprocessed using a stratified split to ensure balanced class distribution and prevent data leakage. Experimental results demonstrate that the CNN model achieves a high performance with an accuracy of 0.95, significantly outperforming baseline models such as Multi-Layer Perceptron (MLP) and XGBoost. Detailed evaluation through a confusion matrix indicates a consistent precision, recall, and F1-score of 0.95, proving the model’s robustness in distinguishing sirens from complex urban noise. The implementation of the Adam optimizer and early stopping mechanism ensured stable convergence and prevented overfitting. These findings suggest that the proposed CNN-MFCC framework provides a reliable solution for real-time emergency signal detection, offering a substantial contribution to intelligent transportation systems.
Contextual Media as a Strategy to Improve Students' Conceptual Understanding and Learning Independence Kusumadewi, Tri Cahyani; Muhajir, Muhajir; Huda, Nuril; Hanifah, Yuni
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.v14i2.20126

Abstract

This study aims to assess the effectiveness of contextual learning media in improving the conceptual understanding and independent learning of 5th-grade students at Keleyan 2 Socah Elementary School. The saturation sampling method was used to ensure that the entire population of 50 students from classes V-A and V-B was included in the research sample. A quantitative approach using an evaluative design was employed, including tools such as concept comprehension tests and learning independence questionnaires. Data analysis was conducted using IBM SPSS software, including validity testing, reliability testing, homogeneity testing, normality testing, and independent samples t-tests for hypothesis evaluation. The analysis findings show significant differences in the concept understanding variable, with a significance value of 0.002, which is less than 0.05, and in the learning independence variable, with a significance value of 0.000, also less than 0.05. The results confirm that contextual learning media positively influences elementary school students' understanding of mathematical ideas and improves their self-directed learning abilities.
Integration of Local Ecological Knowledge in Bird-of-Paradise Conservation Strategy: A Case Study in the Tabi and Saireri Traditional Areas Raunsay, Edoward Krisson
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.v14i2.19335

Abstract

This study examines the integration of local ecological knowledge into bird-of-paradise conservation strategies in the Tabi and Saireri customary areas, Papua, with a field focus in the East Sentani (Tabi) and South Yapen (Saireri) districts. Using qualitative methods with an ethnographic approach and case studies, this study aims to understand how indigenous communities manage and conserve birds-of-paradise through local wisdom practices embedded in their socio-cultural systems. Data were collected through in-depth interviews, participant observation, and focus group discussions with 32 participants consisting of traditional elders, traditional hunters, female forest managers, and village officials involved in customary-based conservation practices. Data analysis was conducted thematically to identify local values, rules, and institutional mechanisms that support conservation. The results revealed four main themes: (1) the establishment of taboo zones and sacred forests as habitat protection spaces, (2) seasonal hunting regulations and fishing gear restrictions, (3) ritual governance and customary sanctions to maintain ecological balance, and (4) community oversight mechanisms through customary institutions. The findings indicate that the integration of local knowledge is effective when recognized in formal policies through co-management schemes, strengthening the role of customary institutions, and recognizing customary sanctions in regional conservation regulations. Local knowledge-based strategies not only maintain the habitat and population of birds of paradise but also strengthen the social legitimacy of conservation policies. This study recommends the development of co-management instruments between local governments and indigenous communities as a contextual, inclusive, and sustainable policy framework for bird-of-paradise conservation in the Tabi and Saireri customary territories.
Ethnomathematics Learning Module for the Sasak Tribe with a Deep Learning Approach for Understanding Geometry Saparwadi, Lalu; Bafadal, Robyan Endruw; Alpan, Rahman Ihdanul; Alpin, Rahman Ihdanil; Sakrim, Sakrim; Sukarma, I Ketut
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.v14i2.19429

Abstract

This study aims to develop a mathematics teaching module based on the ethnomathematics of the Sasak tribe, incorporating deep learning principles to enhance students' understanding of geometry. The research was conducted at MTs Muhammadiyah Selong with the involvement of 17 seventh-grade students. The module development followed the 4D model, which includes the stages of Define, Design, Develop, and Disseminate. The Define stage focused on gathering information, setting learning objectives, determining the topics, and identifying the target audience and content through data collection from observations and interviews. The Design stage involved selecting the module design, format, and structure. The Develop stage included the creation and editing of the module, followed by expert validation for content and media, and a pilot test to assess its functionality. The Disseminate stage included distributing the validated module to the students for further implementation. The results of the module validation from both media and content experts showed that the module was highly valid, with an average score of 82.69% for content and 82% for media design. A small-scale trial with teachers and students indicated that the module was very practical, with an average score of 84% from teachers and 81% from students. The effectiveness of the module was tested using a paired sample T-test, which revealed a significant improvement in students' geometric understanding (p < 0.05). Furthermore, the N-gain analysis showed a moderate improvement in the students' performance. This research highlights the potential of integrating deep learning principles with local ethnomathematics in creating a meaningful, contextual, and effective learning experience for students, particularly in the understanding of geometry.
Constructing Advanced Mathematical Thinking on Function Limits through Cognitive Styles and APOS-Based Scaffolding: A Qualitative Case Study Aristika, Ayu; Wardono, Wardono; Mariani, Scolastika; Walid , Walid
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.v14i2.19936

Abstract

This study examines patterns of advanced mathematical thinking (AMT) in learning function limits through students’ cognitive styles and APOS-based scaffolding. Although previous studies have investigated APOS theory and cognitive styles separately, limited research has explored how both interact in the development of AMT within calculus learning, particularly in the concept of function limits. Adopting a qualitative case study design, data were generated through semi-structured interviews, classroom observations, and document analysis involving 24 mathematics education students at Universitas Islam An Nur Lampung. In this study, cognitive style refers to field-dependent and field-independent learning tendencies, while AMT is represented through indicators of reasoning, abstraction, representation, proof, and problem posing. The analysis employed thematic coding to identify patterns emerging from students’ learning experiences during APOS-based scaffolding activities. The findings reveal three interrelated themes. First, students with field-independent cognitive styles demonstrated more flexible and self-directed reasoning when solving limit problems, whereas field-dependent students relied more on guided explanations, visual representations, and collaborative support. Second, the APOS-based scaffolding sequence of action, process, object, and schema illustrated students’ gradual movement from procedural manipulation toward conceptual interpretation of limits. Third, collaborative scaffolding activities created opportunities for peer explanation and collective meaning-making that supported mathematical generalization. Across the AMT indicators, reasoning obtained the highest average score (3.6), while proof showed the lowest average score (2.9), indicating that students experienced greater difficulty in constructing formal mathematical justification. These findings indicate patterns showing that students’ advanced mathematical thinking emerged through the interaction between individual cognitive tendencies and instructional scaffolding rather than through isolated instructional techniques alone. The study highlights the importance of aligning scaffolding practices with learners’ cognitive characteristics in calculus instruction and contributes qualitative insights into the development of AMT in higher mathematics learning.

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