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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 486 Documents
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Optimization and Performance Analysis of Conventional Boost Converter Topology by Varying Inductor Diameter Ferdyanto, Ferdyanto; Razi, Muhamad Alif; Armansyah, Armansyah; Hardian, Muhammad Paraj Azhar; Nurhidayat, Panji Sidiq; Liemalasintasari, Liemalasintasari
Jurnal Pendidikan Fisika dan Teknologi (JPFT) Vol 11 No 2 (2025): July - December
Publisher : Department of Physics Education, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpft.v11i2.10545

Abstract

Inductors have a significant influence on the volume, weight, cost, and performance efficiency of converters. In boost converters, the size of the inductor greatly affects the overall size of the converter. In recent years, there has been an increasing number of researches focusing on modeling power losses in magnetic elements and on the influence of power losses in these elements on the characteristics of electronic equipment. Boost converters often operate under non-ideal conditions, when the switch is active for a long period of time (Switch ON), conduction losses increase, high current ripple occurs, and the switch operating cycle is extreme. The magnitude of current ripple in a boost converter will greatly affect the amount of power loss generated in the inductor or MOSFET. Given this, it is important to consider the inductor's ability to overcome power losses that will affect the performance of the boost converter. This research analyzes the effect of inductor size, voltage, current, and efficiency related to the duty cycle. The purpose of this research is to find the highest efficiency by varying the diameter of the inductor wire. The diameter of the inductor wire will affect internal resistance and power dissipation, which will have an impact on the performance of the boost converter. Based on the research results obtained, a diameter of 1.5  achieved the most optimal performance with an efficiency of 69.05. Increasing the diameter of the inductor will improve its ability to store current  and reduce internal resistance, thereby overcoming the magnitude of current ripple , reducing power losses due to heat, and converting energy efficiently.
Integration of Artificial Intelligence in Data Analysis for Modern Physics Experiments Silviana, Fitria; Prayogi, Soni
Jurnal Pendidikan Fisika dan Teknologi (JPFT) Vol 11 No 2 (2025): July - December
Publisher : Department of Physics Education, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpft.v11i2.10580

Abstract

This study aims to explore the integration of Artificial Intelligence (AI) in data analysis for modern physics experiments, focusing on how AI-based analytical tools can improve the accuracy, efficiency, and interpretability of experimental results. The research was conducted through an experimental approach combining traditional physics data collection methods with AI-driven algorithms, including regression models, clustering techniques, and neural networks. The experiment utilized datasets from motion and optics laboratories, where sensor-based measurements were analyzed using supervised and unsupervised learning models. Data preprocessing, feature extraction, and model validation were implemented through Python-based frameworks such as TensorFlow and Scikit-learn. The results demonstrated that AI-assisted data analysis significantly enhanced the precision of measurement interpretation, reduced error margins by 15–20% compared to conventional methods and identified hidden patterns within complex datasets that were previously difficult to detect through manual analysis. Moreover, neural network models proved highly effective in predicting outcomes of nonlinear systems, particularly in optics and electromagnetism experiments. The study also revealed that the integration of AI not only accelerates data processing but also serves as an educational tool to promote computational thinking among physics students. It is recommended that modern physics laboratories adopt AI-based analytical frameworks as a standard complement to traditional methods, supported by training modules that familiarize students with data-driven experimentation. This integration is expected to strengthen the alignment between physics education and emerging technologies, ultimately fostering innovation and interdisciplinary competence among future physicists.
Effectiveness of Google Sites–Assisted Problem-Based Learning in Enhancing Students’ Critical Thinking on Heat and Temperature Damayanti, Sherly Eka Putri; Purwaningsih, Endang; Suwasono, Purbo
Jurnal Pendidikan Fisika dan Teknologi (JPFT) Vol 11 No 2 (2025): July - December
Publisher : Department of Physics Education, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpft.v11i2.10633

Abstract

This study aims to analyze the effectiveness of the Google Sites-assisted Problem-Based Learning (PBL) model in improving students’ critical thinking skills on temperature and heat topic. The PBL model was selected because it emphasizes problem-solving and active student participation in learning. Its strength lies in training students to think logically, collaborate, and develop solutions through direct experiences. However, PBL often faces challenges such as limited time, insufficient contextual learning resources, and a lack of media that support independent learning. To address these limitations, this study integrates PBL with Google Sites as a technology-based learning platform. The use of Google Sites provides flexible, engaging, and easily accessible learning resources that enhance students’ readiness before class. It serves as a medium for presenting materials, guiding activity steps, offering interactive simulations, and providing spaces for reflection. This integration allows students to build conceptual understanding independently and participate more effectively in classroom learning. The novelty of this study lies in the use of Google Sites not merely as a supporting tool but as a digital learning environment that strengthens the orientation of students’ critical thinking. A quantitative method with a quasi-experimental design (pretest–posttest control group design) was employed, involving two classes: an experimental class using the PBL model assisted by Google Sites and a control class applying the Direct Instruction model. The results showed that the Google Sites-assisted PBL model was more effective in improving students’ critical thinking skills, independence, and active engagement compared to the Direct Instruction model.
The Effect of the Project Based Learning (PjBL) Model on Students’ Critical Thinking Skills in Physics Nurnabilah, Nurnabilah; 'Ardhuha, Jannatin; Wahyudi, Wahyudi
Jurnal Pendidikan Fisika dan Teknologi (JPFT) Vol 11 No 2 (2025): July - December
Publisher : Department of Physics Education, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpft.v11i2.10699

Abstract

This study aims to examine the effect of the Project Based Learning (PjBL) model on students’ critical thinking skills in physics, particularly on the topic of particle dynamics. This research employed a quasi-experimental method with a nonequivalent control group design. The population consisted of all eleventh-grade students of Senior High School 10 Mataram in the 2025/2026 academic year, totaling 53 students. The sample was selected using a saturated sampling technique, resulting in 28 students from class XI MIPA 1 as the experimental group and 25 students from class XI MIPA 2 as the control group. The experimental group was taught using the Project Based Learning (PjBL) model, while the control group received instruction through a conventional learning model. The results of the analysis showed that the average score of students’ physics critical thinking skills in the experimental group was 78.57, which falls into the critical category, while the control group achieved an average score of 72.22, categorized as moderate. The instrument used to measure critical thinking skills consisted of six essay questions. Hypothesis testing was conducted using a pooled variance t-test with the criterion that if the calculated t-value exceeds the critical t-value, the alternative hypothesis is accepted and the null hypothesis is rejected. The t-test results indicated a calculated t-value of 2.29, which is greater than the critical t-value of 2.01 at a significance level of 5 percent. Furthermore, the N-Gain test was applied to determine the improvement in students’ critical thinking skills. The results showed an N-Gain value of 0.68 for the experimental group and 0.57 for the control group, both of which fall into the moderate category. Based on these findings, it can be concluded that the Project Based Learning (PjBL) model has a significant effect on students’ critical thinking skills in physics.
The Influence of the Tide Levels on the Water Electrical Conductivity Parameter in the Estuary Area: In-Site and Real-Time Measurement Alaydrus, Alfina Taurida; Budianto, Arif; Rahayu, Susi; Andini, Mira; Akhyar, Halil; Anggriani, Ni Ketut
Jurnal Pendidikan Fisika dan Teknologi (JPFT) Vol 11 No 2 (2025): July - December
Publisher : Department of Physics Education, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpft.v11i2.10881

Abstract

One area that requires attention in water quality studies is the estuarine ecosystem. Estuaries are transition zones connecting freshwater and marine waters, thus possessing unique environmental dynamics. However, there is limited information regarding the effect of sea tides in the area on local estuary water quality. Therefore, this study aims to identify the existing relationship between sea tide levels and EC values, using an IoT-based system that is portable, lightweight, and capable of operating in real time. This study was conducted over five days in Senggigi village, Batulayar, West Nusa Tenggara, Indonesia. The collected data focused on the EC parameter's water quality levels at different tide levels, which were monitored using the self-developed system. This system was developed using an EC sensor, a microcontroller, and a wireless internet router (for wireless data communication via ThingSpeak.com). This system was also equipped with a pH sensor, a TDS sensor, and a water temperature sensor. The recorded data show that the resulting data are valid and highly accurate, and that the system is ready for examination at the measurement area. The resulting data show that the correlation between tide level and EC value is logarithmic, with a regression coefficient of 0.934. The EC level was about 20.42 – 62.54 mS/cm, depending on the tide level. It can be concluded that the tide level indeed influences the EC parameter in the estuary area. Moreover, TDS plays an important role in regulating EC levels, underscoring the need to systematically measure this parameter in any estuarine water-quality study.
Analysis of Student Perceptions of Project-Based Learning: A Case Study in Experimental Physics Course Sutrio, Sutrio; Gunawan, Gunawan; Hikmawati, Hikmawati; Verawati, Ni Nyoman Sri Putu; Busyairi, Ahmad; Haslinda, Padia; Isnaini, Ahmad Hardyan
Jurnal Pendidikan Fisika dan Teknologi (JPFT) Vol 11 No 2 (2025): July - December
Publisher : Department of Physics Education, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpft.v11i2.11002

Abstract

The urgency of this research lies in the critical need to understand the effectiveness of Project-Based Learning (PjBL) within the context of the Experimental Physics course, particularly in responding to modern curricular demands that emphasize problem-solving and creativity. This study aims to analyze student perceptions of PjBL implementation, covering learning style profiles, learning experiences, challenges, support systems, and the impact on problem-solving abilities. Utilizing a quantitative approach with a descriptive design, data were collected through surveys administered to students enrolled in the Experimental Physics course. The results indicate that the majority of students (65.7%) possess a Kinesthetic learning style, which aligns strongly with PjBL characteristics that emphasize hands-on practical activities. Student perceptions were classified as highly positive, with the highest ratings observed in the aspects of enhanced creativity and the relevance of projects to real-world applications. An interesting finding highlights the presence of "productive struggle," where, although task difficulty was rated as challenging, students perceived this difficulty as highly instrumental in developing new skills. Regarding problem-solving abilities, students felt competent in procedural design and analysis; however, accurate data collection and hypothesis formulation were identified as areas with the lowest scores. It is concluded that while PjBL is effective in enhancing student competence, its implementation requires optimization through more intensive scaffolding regarding the technical aspects of data measurement and hypothesis formulation, alongside improved laboratory facility support.

Page 49 of 49 | Total Record : 486

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