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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 32 Documents
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Search results for , issue "vol 12 no 1 (2026): january-june" : 32 Documents clear
Analysis of Students’ Scientific Reasoning Profiles Using the Lawson’s Classroom Test of Scientific Reasoning Hebron Pardede; Mariana Surbakti; Bajongga Silaban
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.v12i1.10680

Abstract

This study investigates the scientific reasoning profiles of physics education students using Lawson’s Classroom Test of Scientific Reasoning (LCTSR). A descriptive quantitative design was employed with 50 undergraduate students from the Physics Education Study Program at Universitas HKBP Nommensen, Indonesia. The LCTSR instrument consists of 30 paired multiple-choice items assessing six dimensions of scientific reasoning: conservation reasoning, proportional reasoning, control of variables, probabilistic reasoning, correlational reasoning, and hypothetico-deductive reasoning. The results show that the mean LCTSR score was 12.4 out of 30, indicating that most students were at the transitional reasoning level. Specifically, 30% of students were classified as concrete reasoners, 56% as transitional reasoners, and only 14% as formal reasoners. Among the six reasoning aspects, conservation reasoning demonstrated the highest achievement (77.5%), whereas hypothetico-deductive reasoning was the weakest (16.7%). The findings indicate substantial difficulties in abstract reasoning processes. These results highlight the need for explicit instructional strategies to promote higher-order scientific reasoning in physics education programs.
Effectiveness of Ethno-Inquiry-Interactive Physics Multimedia Using the Gopa Game to Improving Students’ Numeracy Literacy Nurjumiati Nurjumiati; Syahriani Yulianci; Nurhairunnisah Nurhairunnisah; Suriya Ningsyih
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.v12i1.10790

Abstract

This study aims to analyze the effectiveness of ethno-inquiry-based interactive physics multimedia through the traditional Gopa game in improving students' numeracy in parabolic motion material for grade XI of high school. This study used a quasi-experimental method with a pretest-posttest control group design involving two classes, namely the experimental class that used ethno-inquiry-based interactive multimedia through the Gopa game and the control class that used conventional learning. The research instrument included a numeracy literacy test. Data were analyzed using an independent t-test and N-Gain test calculations to measure the level of effectiveness. The results showed that there was a significant difference between the numeracy and cultural literacy results of students in the experimental and control classes. With an Independent Sample t-test on the posttest score, there was a significant difference between the experimental and control classes with a p-value of 0.029 (p <0.05). The average posttest score of the experimental class (74.92) was higher than the control class (64.67). These results indicate that the use of ethno-inquiry-based interactive multimedia in the Gopa game has a positive influence on improving students' numeracy literacy. The average gain in numeracy literacy scores in the experimental and control classes was in the moderate category, meaning that the effectiveness of using ethno-inquiry-based interactive physics multimedia through the Gopa game on parabolic motion material was categorized as moderate or quite effective.
The Effect of Guided Inquiry Learning with Virtual Laboratory on Junior High School Students' Physics Learning Outcomes Wilfridus Nggadung; Agus Wedi; Deka Dyah Utami
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.v12i1.10980

Abstract

Low physics achievement among junior high school students, particularly on the topics of work and energy, indicates the need for more effective instructional strategies. This study examined the effect of a guided inquiry approach assisted by PhET simulations on students’ learning outcomes in Work and Energy. A nonequivalent control group design was employed, involving 30 students in the experimental class and 30 students in the control class. The instrument consisted of 20 multiple-choice items designed to assess students’ understanding of fundamental concepts in Work and Energy. The results showed that the implementation of the PhET-assisted guided inquiry approach significantly improved students’ learning outcomes. This conclusion was supported by the results of an independent t-test and a high effect size. Nevertheless, the study was limited to a single topic and relied solely on quantitative data. Future research is therefore recommended to investigate other physics topics and to incorporate qualitative.
Development of a Problem-Based Learning Physics Module on Uniform Circular Motion to Support Students’ Critical Thinking Skills Yunita Hapriza; Hamdi Akhsan; Kistiono Kistiono
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.v12i1.10847

Abstract

Physics instruction on Uniform Circular Motion (UCM) is often perceived by senior high school students as abstract and difficult to comprehend due to its limited connection with real-life phenomena. This study aims to develop a physics teaching module based on Problem-Based Learning (PBL), integrated with simple demonstrations using coins and strings and supported by investigative student worksheets (LKPD). The research employed the Research and Development (R&D) method using a modified ADDIE model consisting of analysis, design, development, and evaluation stages. The study focused on examining the validity and practicality of the developed module. Evaluation was conducted through expert reviews involving three validators (a physics content expert, a pedagogy expert, and an instructional design expert), a one-to-one trial with three students, and a small-group trial with nine Grade XI students from SMAN 13 Palembang. The validation results indicate that the module achieved an average score of 88.33%, categorized as very valid. Meanwhile, the practicality test produced an average score of 91.7%, indicating that the module is very practical to use in learning activities. The module facilitates learning through the PBL stages, including problem orientation, investigation through demonstrations and videos, group discussion, and reflection. Although the effectiveness of the module in improving students’ conceptual understanding and critical thinking skills has not yet been empirically tested, the results indicate that the developed module is valid and practical and has the potential to support meaningful learning experiences on the topic of Uniform Circular Motion.
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.

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