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Phi : Jurnal Pendidikan Fisika dan Terapan
Published by Universitas Islam Negeri Ar-Raniry Banda Aceh
ISSN : 24604348     EISSN : 25497162     DOI : -
Core Subject : Science, Education, Engineering,
Earth & Planetary Sciences Education Engineering Physics Other
Jurnal Phi teregistrasi dengan ISSN : 2549-7162 (daring) dan ISSN : 2460-4348 (cetak) adalah jurnal yang mempublikasikan hasil-hasil riset dalam lingkung fisika dan pendidikan fisika yang berdampak pada pengetahuan dan teknologi. Kami tidak menerima tulisan yang masih berupa hasil pendahuluan atau tidak mengandung kebaruan. Jurnal Phi juga mempublikasikan penelitian interdisiplin ilmu yang mendukung pengembangan fisika dan pendidikan fisika. Secara khusus, topik-topik dan lingkup yang diterbitkan terdiri dari: Pengembangan model, metoda dan pendekatan pembelajaran. Pengembangan teknologi media pembelajaran dalam pendidikan fisika. Psikologi pendidikan fisika. IPA terpadu yang relevan dengan pendidikan fisika. Instrumentasi dan komputasi untuk teknologi pendidikan fisika. Fisika terapan termasuk geofisika dan teknologi material
Arjuna Subject : Fisika dan Astronomi - Fisika dan Astronomi (Lain-Lain)
Articles 178 Documents
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Simulation of Radiation Dose Distribution in Radiodiagnostic Facilities Using FLUKA Monte Carlo Code Zyan, Wildan Muhammad; Ridwan Ramdani; Moch. Nurul Subkhi
Jurnal Phi: Kurnal Pendidikan Fisika & Terapan Vol 11 No 2 (2025)
Publisher : Universitas Islam Negeri Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/hj0xjk86

Abstract

This study investigates the application of Monte Carlo simulations using the FLUKA code to evaluate the radiation dose distribution in the radiodiagnostic facility of the Fatmawati Medical Check Up Clinic. The objective is to compare the simulation results with experimental measurements and assess the accuracy of the simulation method. The research was carried out in the Physics Modelling Laboratory, Integrated Laboratory of State Islamic University (UIN) Sunan Gunung Djati Bandung, using an HP Proliant ML350P server computer equipped with Intel® Xeon® CPU E5-2620 v2 @ 2.10GHz × 12 cores. The simulation involved modeling the radiation chamber and photon emission plane, configured to emit 9×10⁹ photons at an energy level of 60 keV. Scattered radiation doses were measured at several locations, corresponding to experimental measurement points for validation. The results showed a strong correlation and high level of accuracy between the simulation and experimental data, with a relative error of less than 1%.
High-Accuracy Pneumonia Classification via Ensemble Learning on Chest X-ray Imagery Rachman, Rezky Rachmadany; Syamsir Dewang; Sri Dewi Astuti; Eko Juarlin
Jurnal Phi: Kurnal Pendidikan Fisika & Terapan Vol 11 No 2 (2025)
Publisher : Universitas Islam Negeri Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/0y63tg53

Abstract

Pneumonia continues to pose a substantial global health threat, necessitating rapid and precise diagnostic tools. The conventional manual assessment of Chest X-ray (CXR) images is time-intensive and susceptible to human error. This study introduces an automated machine learning approach that employs an ensemble learning strategy to achieve highly accurate pneumonia classification from CXR images. The comprehensive system operates through three primary phases: initial image pre-processing (involving grayscale conversion, resizing, and filtering for enhanced quality), robust feature extraction (utilizing the fusion of Histogram of Oriented Gradients (HOG) and Local Binary Pattern (LBP) descriptors), and sophisticated model training and classification. An ensemble model is trained, integrating the predictive power of Random Forest, Logistic Regression, and Extreme Gradient Boosting classifiers. Experimental validations, performed on a dedicated dataset comprising pneumonia and normal CXR images, unequivocally demonstrate that the proposed strategy achieves an impressive 97.50% overall classification accuracy, strongly supported by precision, recall, and F1-scores all at 97.50%. This superior performance, notably surpassing individual machine learning algorithms, underscores the profound efficacy of ensemble learning in delivering reliable and precise predictions for pneumonia diagnosis. Consequently, this automated methodology presents a valuable asset for medical professionals, aiding in the swift and accurate identification of pneumonia.
Application Of Guided Inquiry Model To Improve The Ability And Critical Thinking Disposition Of Senior High School Students In Physics Learning Maolani, Agni Gina; Warliani, Resti; Irvani, Asep Irvan
Jurnal Phi: Kurnal Pendidikan Fisika & Terapan Vol 11 No 2 (2025)
Publisher : Universitas Islam Negeri Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/6js5t958

Abstract

This study aims to examine the effectiveness of the Guided Inquiry model in improving students' critical thinking ability and disposition on alternative energy materials. The research design used a pseudo-experiment with a quantitative approach. The research subjects consisted of 70 X grade students who were divided into two groups, namely the experimental group (Guided Inquiry) and the control group (Problem-Based Learning). The results showed that the increase in CTA and CTD of the experimental class was significantly greater than the control. Critical thinking ability increased from 37.26 to 74.03, and critical thinking disposition from 54.00 to 67.89. T-test and effect size analysis showed significant differences and a large impact. There was a positive correlation between critical thinking skills and disposition (r = 0.483; p < 0.001). The Guided Inquiry model proved effective in developing students' overall critical thinking skills.
Physico-Chemical and Magnetic Characterization of Topsoil Influenced by Vehicular Emissions at Padjadjaran University, Jatinangor Septiani, Fadia Tri; Fitriani, Dini; Agustine, Eleonora; Kirana, Kartika Hajar; Aji, Bayu Gusti Pangestu
Jurnal Phi: Kurnal Pendidikan Fisika & Terapan Vol 11 No 2 (2025)
Publisher : Universitas Islam Negeri Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/yhp5n953

Abstract

This study investigates the impact of vehicular emissions on the physico-chemical properties of topsoil at Padjadjaran University, Jatinangor. Soil samples were analyzed for pH, electrical conductivity (EC), total dissolved solids (TDS), magnetic susceptibility ()LFll, magnetic domain properties (), and heavy metal concentrations using Inductively Coupled Plasma-Optical Emission Spectrometry (ICP-OES). The results showed that while pH values remained within the neutral range (6.03–7.40), elevated EC and TDS values were observed at locations with high traffic density, indicating increased ionic content from anthropogenic sources. Magnetic susceptibility values ranged from 506.7 to 1148.7 × 10⁻⁸ m³kg⁻¹, with all sites exceeding 10 × 10⁻⁸ m³kg⁻¹, confirming the presence of ferrimagnetic minerals, and higher values were found near areas with heavy vehicle activity. The ) values, mostly below 4%, suggest a significant contribution from anthropogenic magnetic particles, dominated by stable single domain (SSD) and multi domain (MD) grains. Heavy metal analysis revealed that most elements (Fe, Mn, Cu, Zn, Al, As, Mg, Ca, K, Ni and Cr) were within permissible limits, except cadmium (Cd), which exceeded background crustal levels, suggesting contamination from anthropogenic sources, including vehicle emissions.
Creative Thinking Ability of MTs Students on the Topic of Renewable Energy: A Case Study in South OKU Kurnia, Mega; Wiyono, Ketang; Akhsan, Hamdi; Ismet
Jurnal Phi: Kurnal Pendidikan Fisika & Terapan Vol 11 No 2 (2025)
Publisher : Universitas Islam Negeri Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/by0md956

Abstract

This study aims to analyse the creative thinking ability of MTs students in South OKU Regency on renewable energy material. The research sample totalled 109 ninth grade students from four MTs selected by purposive sampling. The research instrument was in the form of multiple choice questions based on TTCT (Torrance Tests of Creative Thinking) indicators consisting of fluency, flexibility, originality, and elaboration. The results showed that the average score in the range of 100 students' creative thinking ability was 41.56. The average score of each indicator is: fluency (60.54), elaboration (45.77), flexibility (32.03), and originality (22.52). The highest average score is on the fluency indicator and the lowest score is on the originality indicator. This shows that students do not have difficulty in generating many ideas, but still have difficulty in generating unique and innovative ideas. The results of this study provide a factual picture of the condition of the creative thinking skills of MTs.
Effectiveness of Integration of Exit Slips Formative Assessment in Problem Based Learning in Improving Critical Thinking Skills of High School Students on Heat Material Amara, Wina; Ridwan Efendi; Amsor
Jurnal Phi: Kurnal Pendidikan Fisika & Terapan Vol 11 No 2 (2025)
Publisher : Universitas Islam Negeri Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/b6kynw39

Abstract

This study was motivated by the need to address the lack of critical thinking skills among students in order to meet the demands of the 21st century. The purpose of this study was to demonstrate the effectiveness of integrating formative assessment in the form of Exit Slips into problem-based learning to improve students' critical thinking skills related to current issues. The research design used was quasi-experimental with matching only pretest posttest  control group, involving 69 eleventh-grade students in Bandung. Data were collected using the ACTA test for critical thinking, formative assessment called Exit Slips, and student questionnaires. Data analysis was conducted using the N-Gain test, effect size, and quantitative descriptive analysis. The results of the study showed a significant difference in the improvement of critical thinking skills between the experimental group and the control group, with N-Gain values in the moderate category and effect sizes in the high category. Student responses to the integration of Exit Slips formative assessment into problem based learning were also in the good category. Overall, the integration of Exit Slips formative assessment into problem-based learning was highly effective in improving critical thinking skills.
Students’ Conceptual Understanding And Difficulties On Static Fluids: A Literature Review Irawan, Ivan Danar Aditya; Khusaini, Khusaini; Islamiyah, Muizzatul; Basri, Nur Akhyar; Ardilla, Sarah Lutfiah
Jurnal Phi: Kurnal Pendidikan Fisika & Terapan Vol 12 No 1 (2026)
Publisher : Universitas Islam Negeri Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/p-jpft.v12i1.30339

Abstract

The research is a literature study that aims to explain students' concept understanding and difficulties in Static Fluid material. The research method uses descriptive qualitative by analyzing Sinta/international conference/Scopus accredited journals. The analysis was conducted on the concepts of hydrostatic pressure, Archimedes' law and Pascal's law. The articles used were 9 articles published between 2019-2023. The results of the analysis show that most of the studies show that the understanding of the concepts in static fluid material is rather low. There are many difficulties experienced by students on the concepts of hydrostatic pressure, Archimedes' law and Pascal's law. Various efforts to improve and overcome the difficulties include the application of guided inquiry learning models, CCBL models, formative assessment in collaborative inquiry learning, and STEM-integrated experimental learning with formative assessment. The profile of understanding and difficulties can be used by teachers as a basis for designing solutions to create more effective learning and designing research to overcome difficulties.
The Effect of Deep Learning-Based Contextual Problem on Science Concept Understanding in Slow Learners at Inclusive Schools Rizky Wirawan, Pradita; Sekarsari Putri, Agnesi
Jurnal Phi: Kurnal Pendidikan Fisika & Terapan Vol 12 No 1 (2026)
Publisher : Universitas Islam Negeri Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/p-jpft.v12i1.31448

Abstract

Exploring deep learning in inclusive schools is urgent, as it plays a crucial role in fostering meaningful learning experiences for students with diverse abilities. This study aims to determine the effect of deep learning based contextual problem on science concept understanding among slow learners in inclusive schools. The research method used is a quasi-experimental design with a pretest-posttest control group design, involving two inclusive classes in the Yogyakarta region. One class served as the experimental group and received deep learning based contextual problem treatment for three weeks, while the control class received conventional instruction. The main instruments were multiple-choice tests to measure understanding of ecosystem concepts, as well as observation sheets of learning activities. The results of the analysis using the Mann-Whitney test showed a significant difference between the experimental and control groups (p = 0.000), indicating that this approach is effective in improving science concept understanding among slow learners. Learning was conducted through stages of understanding, application, and reflection, utilizing contextual media, field trips, and environmental management projects that involved the local community. These findings reinforce the relevance of constructivism, situated learning, and experiential learning theories in inclusive education. In addition to supporting cognitive aspects, this model also contributes to students' social skills and learning motivation. The practical implications of this study encourage teachers to apply adaptive and contextual learning strategies, as well as the importance of developing modules and teacher training. 

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