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INDONESIA
Jurnal Pendidikan Fisika dan Teknologi
Published by Universitas Mataram
ISSN : 26145618     EISSN : 24076902     DOI : -
Core Subject : Science, Education,
Education Physics
Jurnal Pendidikan Fisika dan Teknologi (JPFT) merupakan wadah publikasi ilmiah bagi dosen, guru, mahasiswa, dan peneliti bidang fisika dan pembelajarannya, termasuk teknologi terapan dan teknologi pembelajaran yang sesuai. Terbit perdana pada tahun 2015 dan mulai tahun 2017 JPFT terbit 2 kali dalam setahun yaitu pada bulan Juni dan Desember.
Arjuna Subject : -
Articles 518 Documents
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Designing Sustainable City: Feasibility of Gamification-Integrated STEM-Based Science Learning Tools Anugrah Putri Nur'aini; Shelly Efwinda; Muhammad Amiq Zahidsyahtya; Erna Sari; Atin Nuryadin; Nurul Fitriyah Sulaeman
Jurnal Pendidikan Fisika dan Teknologi (JPFT) Vol 12 No 1 (2026): January-June
Publisher : Department of Physics Education, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpft.v12i1.11296

Abstract

– This study aims to develop and validate STEM-based learning tools integrated with Game-Based Learning themed "Sustainable City" to address the lack of student engagement in STEM education. Employing the Educational Design Research (EDR) method, this research focuses on the design and construction phase involving the development of student worksheets and teaching modules. The product feasibility was assessed by five experts through content and graphic validation using a 46-item instrument with a 4-point Likert scale. Data were analyzed using percentage analysis and Aiken’s V index. The results demonstrate that the content feasibility achieved an average score of 93% (Very Valid) with an Aiken’s V of 0.90, highlighting strong validity in integrating the EDP and SDGs. The graphic feasibility obtained an average score of 87% (Very Valid). However, the specific finding revealed a critical gap in the "Cover Design" indicator, which scored the lowest (75%). Overall, the STEM-EDP materials are declared academically feasible by experts, although they require graphic improvements. However, the effectiveness of these tools has not been practically tested in the field. Therefore, further development must integrate academic validity with classroom trials to ensure its positive impact on student motivation. 
Impact of SMOTE Oversampling on Classifying Band Gap Types in Imbalanced ABO₃ Perovskite Oxides Desvita Maharani; Johana Oktavia Ramadhani; Aliyah Zahratu Rizqi; Muhamad Akrom
Jurnal Pendidikan Fisika dan Teknologi (JPFT) Vol 12 No 1 (2026): January-June
Publisher : Department of Physics Education, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpft.v12i1.11479

Abstract

This study investigates the impact of the Synthetic Minority Over-sampling Technique (SMOTE) on the classification of direct and indirect band gap types in imbalanced ABO₃ perovskite oxide datasets. In the dataset used, the direct band gap class constitutes approximately 84% of the samples, while the indirect class represents only 16%, leading conventional classification models to become biased toward the majority class. To address this issue, SMOTE was employed to balance the class distribution, and its performance was evaluated using several machine learning algorithms, including Multi-Layer Perceptron (MLP), Extra Trees, CatBoost, and Gradient Boosting. Model performance was assessed using 5-fold stratified cross-validation, with particular emphasis on F1-macro and recall metrics to ensure adequate evaluation of the minority class. The results show that although SMOTE did not significantly improve overall accuracy (baseline: 0.89; SMOTE: 0.88), it enhanced the models’ ability to recognize the minority class. Notable improvements in F1-macro were observed, increasing from 0.76 to 0.78 for MLP and from 0.75 to 0.78 for CatBoost. These findings highlight the importance of using F1-macro as a more informative evaluation metric than accuracy for imbalanced datasets and provide methodological insights for developing more robust predictive models in materials informatics.
High-Accuracy Numerical Solution of the One-Dimensional Schrödinger Equation Using the Numerov–Shooting Method Sopia Sopia; Dea Amalia; Edo Anugrah; Hamdi Akhsan; Melly Ariska
Jurnal Pendidikan Fisika dan Teknologi (JPFT) Vol 12 No 1 (2026): January-June
Publisher : Department of Physics Education, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpft.v12i1.10794

Abstract

The Time-Independent Schrödinger Equation (TISE) plays a crucial role in quantum mechanics for obtaining the eigenenergies and wave functions of a system. This research numerically solves the TISE for the one-dimensional infinite potential well model by applying the Numerov method combined with the shooting technique. The Numerov method was chosen because it has an order of accuracy of O, making it effective for solving second-order differential equations with a very small truncation error. Numerov is used to solve the second order differential equation with a high degree of accuracy, while the shooting technique is applied to determine the eigenenergies that satisfy the physical boundary conditions of the system. Wave function normalization is performed using the Simpson integral so that the total probability is. Numerical validation is carried out by comparing the computed eigenenergies to the analytical solution  in dimensionless units for  up to . The results show that the numerical energies have a relatif error in the range of order  to , indicating that the Numerov method is capable of producing very accurate and consistent solutions. Based on these findings, the Numerov method can be used effectively in solving quantum mechanics problems that do not have analytical solutions.
The Effect of Implementing Artificial Intelligence-Based Interactive Learning Media on Enhancing Students’ Digital Literacy and Higher-Order Thinking Skills Dewi Ratih; Abdul Haris Odja; Raghel Yunginger
Jurnal Pendidikan Fisika dan Teknologi (JPFT) Vol 12 No 1 (2026): January-June
Publisher : Department of Physics Education, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpft.v12i1.10948

Abstract

In recent years, Artificial Intelligence (AI) has created transformative opportunities for educational systems worldwide. AI is no longer viewed merely as a theoretical concept; rather, it has been integrated into various educational applications, including adaptive learning recommendation systems, virtual tutors, learning chatbots, and AI-powered interactive learning media. In 21st-century education, two essential competencies are digital literacy and Higher-Order Thinking Skills (HOTS). Digital literacy refers to the ability to access, evaluate, utilize, and manage information effectively and ethically within digital environments. Meanwhile, HOTS encompasses students’ abilities to analyze, synthesize, evaluate, solve problems, and create, representing cognitive skills that extend beyond basic memorization and comprehension. This study aims to examine the effect of implementing Artificial Intelligence (AI)-based interactive learning media on improving students’ digital literacy and Higher-Order Thinking Skills (HOTS). The study employed a qualitative descriptive approach through a literature review of 40 scientific articles, which were subsequently narrowed down to 13 relevant articles published between 2020 and 2025. The findings reveal that the implementation of AI-based learning media, such as educational chatbots, Gamma App, Canva AI, QuillBot, ChatGPT, PhET Simulation virtual laboratories, and intelligent tutoring systems, has a positive impact on enhancing students’ digital literacy and higher-order thinking skills. The integration of AI in learning encourages students to think critically, creatively, and adaptively in response to ongoing digital technological developments. Furthermore, the study highlights the importance of improving teachers’ competencies, strengthening digital infrastructure, and developing ethical and pedagogical guidelines for the effective use of AI in educational settings.
Development 3D Virtual Laboratory the Hertz Experiment on the Topic of Sound and Light Waves Rahmansyah Rahmansyah; Khaeruddin Khaeruddin; Usman Usman
Jurnal Pendidikan Fisika dan Teknologi (JPFT) Vol 12 No 1 (2026): January-June
Publisher : Department of Physics Education, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpft.v12i1.11105

Abstract

This study is development research aimed at determining the validity, practicality, and effectiveness of 3D virtual laboratory media for the Hertz experiment on sound and light wave material. The research sample consisted of 30 eleventh-grade students from the Digital Class of MAN 2 Bone. The method used was Research and Development (R&D) following the ADDIE model (Analyze, Design, Develop, Implement, Evaluate). The results showed that the media was declared highly valid by physics learning media experts based on the Gregory test. The media's practicality received ratings of 97.35% from the physics teachers and 82.08% from students, both classified as very practical, indicating its high efficiency in the classroom. Furthermore, the N-gain test on students' interest in physics yielded an average score of 0.49. This indicates a moderate yet positive enhancement in students' learning engagement. Therefore, this 3D virtual laboratory is proven to be a highly practical, valid, and engaging instructional medium that successfully supports the visualization of abstract physics concepts.
Predictive Modeling of Thermal Stability in Zn-MOF Using Multilayer Perceptron Muhammad Diva Irnanda; Harun Al Azies; Muhamad Akrom; Ananta Surya Pratama; Taufiqul Umam
Jurnal Pendidikan Fisika dan Teknologi (JPFT) Vol 12 No 1 (2026): January-June
Publisher : Department of Physics Education, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpft.v12i1.11342

Abstract

Indonesia's heavy reliance on fossil fuels, which account for approximately 80% of its national energy supply, poses a significant obstacle to achieving Net Zero Emissions (NZE) by 2060. Metal-Organic Frameworks (MOF) have emerged as promising innovative materials for sustainable energy applications; however, their limited thermal stability at elevated temperatures remains a major challenge. This study aims to develop a Multilayer Perceptron (MLP -based predictive model for the thermal stability of zinc-based MOF (Zn-MOF) using four structural descriptors nZn, nN, Lig, and Het  derived from a dataset of 151 Zn-MOF compounds. Three hidden-layer configurations with 3, 6, and 9 neurons were evaluated using 10-fold cross-validation and three regression metrics: Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and the coefficient of determination (R²). The 9-neuron configuration achieved the highest predictive accuracy, with MAE = 0.0020, RMSE = 0.0022, and R² = 0.9991. SHAP analysis identified nN and Het as the most influential descriptors for thermal stability prediction. These results demonstrate that the MLP architecture effectively captures nonlinear structure–property relationships in Zn-MOFs, offering a computationally efficient tool to accelerate the design of thermally stable materials for sustainable energy applications.
Diagnosing Students’ Vector Concept Understanding Through Rasch Model Analysis Elyanti Elyanti; Khusaini Khusaini; Lia Yuliati
Jurnal Pendidikan Fisika dan Teknologi (JPFT) Vol 12 No 1 (2026): January-June
Publisher : Department of Physics Education, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpft.v12i1.11558

Abstract

Accurate measurement of students’ conceptual understanding of vectors requires assessment instruments with sound psychometric properties. This study aims to examine the validity, reliability, and item difficulty of a vector concept understanding instrument for high school students using Rasch model analysis. The study employed a descriptive quantitative design involving 30 high school students who had studied vector material. Data were collected through a 25-item multiple-choice test and analyzed using the Rasch model via Winsteps version 3.68.0. The results indicated that 15 items met the Rasch model fit criteria and could be retained as valid items, while 10 items required revision. The instrument demonstrated good internal consistency with a Cronbach’s alpha of 0.83, item reliability of 0.81, and test-retest reliability of 0.75. Item difficulty analysis revealed a variation in difficulty levels capable of effectively distinguishing students’ abilities. Items regarding vector components were found to be the most difficult concept for students to understand, whereas the concept of vector direction was relatively easier to grasp. These findings indicate that Rasch analysis is not only effective for evaluating instrument quality but also useful for identifying students’ misconceptions and learning difficulties regarding vector material. Pedagogically, these research results can help teachers design more targeted learning strategies, particularly in strengthening students’ understanding of vector components through visual and representational approaches. This study contributes to the development of diagnostic-based physics assessment and supports the use of the Rasch model as a robust approach in refining physics learning evaluation instruments.
Transformation of Physics Learning Approaches in the Digital Era: A Systematic Literature Study on Curriculum Adaptation and Innovation in Vocational Education Santi Septiana Zarita; Cut Liliiza Yusra; Ferdiansyah Novriza; Herdian Saputra
Jurnal Pendidikan Fisika dan Teknologi (JPFT) Vol 12 No 1 (2026): January-June
Publisher : Department of Physics Education, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpft.v12i1.11606

Abstract

Vocational education institutions in Indonesia face growing pressure to realign physics learning with the demands of Industry 4.0, yet a comprehensive synthesis of how digital curriculum adaptation occurs in this specific context remains limited. This study aims to examine patterns of digital transformation in physics learning approaches, analyze responsive curriculum adaptation strategies, evaluate implemented digital innovations, and formulate strategic recommendations for vocational physics education in Indonesia. A qualitative library research method was employed, with data collected from academic publications indexed in Google Scholar and SINTA, spanning the period 2020–2024. Articles were selected based on inclusion criteria covering relevance to digital physics learning, vocational education context, and publication quality, resulting in ten studies subjected to content analysis and source triangulation. Findings indicate that technologies such as HTML5-based digital comics, STEM gamification, and Arduino microcontroller-based teaching aids have demonstrably improved student engagement and academic outcomes. Responsive curriculum adaptation requires systematic integration of problem-based learning and project-based learning supported by digital technology. Implementation gaps persist between ideal conditions and actual practice, necessitating strategic interventions in educator professional development, industry-academia partnerships, and technology infrastructure investment. This study contributes a holistic analytical framework for understanding the interrelation between technological innovation, curriculum adaptation, and learning outcomes in Indonesian vocational education.
Analysis of Laboratory Utilization in Supporting Physics Learning: A Case Study at Metro Public High School 5 Riswanto Riswanto; Wari Prastiti; Friska Octavia Rosa; Dian Utama Hartanto Setya Putra; Febi Afifah; anggun saputri
Jurnal Pendidikan Fisika dan Teknologi (JPFT) Vol 12 No 1 (2026): January-June
Publisher : Department of Physics Education, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpft.v12i1.6430

Abstract

This study aims to provide a more in-depth analysis of laboratory utilization at SMAN 5 Metro. The research employed a qualitative approach. The object of this study was SMAN 5 Metro, with class XI students and physics teachers as the research subjects. Data were collected through three techniques: observation, interviews, and questionnaires. The data analysis was conducted both during and after the data collection process. The analysis technique used was data triangulation, which involved comparing findings from the three data sources (observations, interviews, and questionnaires). Based on the results of the data analysis, it can be concluded that practicum activities at SMA Negeri 5 Metro are still conducted in the classroom, with teachers bringing practicum tools into the classroom to demonstrate and carry out experiments. In addition, practicum implementation has not been optimal due to improper laboratory utilization, the use of laboratory spaces that do not align with their intended functions, and the absence of laboratory assistants or technicians. These personnel are essential for managing laboratory administration, including maintaining inventory records of tools and materials, handling equipment loans, and organizing tools and materials according to their types and characteristics.
Magnetotelluric 1D-Based Lithological Study of Geothermal Prospect Near Bogor Fault, Kepahiang Zaky Muammar; M Farid; Arif Ismul Hadi; Andre Rahmat Al-Ansory; Hana Raihana
Jurnal Pendidikan Fisika dan Teknologi (JPFT) Vol 12 No 1 (2026): January-June
Publisher : Department of Physics Education, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpft.v12i1.9745

Abstract

Kepahiang Regency, Bengkulu Province has significant geothermal potential due to its location on the subduction line and the Sumatra Musi segment fault. This research aims to identify the subsurface lithology of the geothermal zone using the Magnetotelluric method. This method measures the response of natural electric and magnetic fields to determine subsurface resistivity values. Inversion of 1D Magnetotelluric data at six pointsv (MT5, MT6, A6, A5, A1, A4) showed three classes of resistivity values of low (0.21-4.0 Ωm), medium (31-80 Ωm), and high (≥200 Ωm). Low resistivity zones are found at MT6 and A6, indicating the presence of geothermal reservoirs in the form of sandstone, limestone, and igneous rocks. Medium resistivity at MT5 and A5 indicates a clay layer as caprock, while high resistivity at A1 and A4 indicates hot rocks in the form of granite and metamorphic rocks. These results provide a preliminary picture of geological conditions for geothermal exploration in the area.

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