cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Asep Irvan Irvani
Contact Email
irvan.irvani@uniga.ac.id
Phone
-
Journal Mail Official
jpif@uniga.ac.id
Editorial Address
Jl. Raya Samarang No. 52A, Garut, Jawa Barat, 44151
Location
Kab. garut,
Jawa barat
INDONESIA
JURNAL PENDIDIKAN DAN ILMU FISIKA
Published by Universitas Garut
ISSN : -     EISSN : 2798334X     DOI : -
Core Subject : Science, Education,
Education Physics
Jurnal Pendidikan dan Ilmu Fisika (JPIF) is a peer-reviewed journal that is intended as a medium for disseminating ideas and research results in the fields of physics education and physics. The scope of this journal includes physics education, theory and application of physics. This journal is published twice a year, in June and December by Fakultas Pendidikan Islam dan Keguruan, Universitas Garut, Indonesia. The review process in this journal employs a double-blind review, which means that both the reviewer and author identities are concealed from the reviewers, and vice versa.
Arjuna Subject : Ilmu Sosial - Pendidikan
Articles 178 Documents
 14   15   16   17   18 
Identifikasi Potensi Sebaran Mangan Bawah Permukaan di Daerah Oenesu Kecamatan Kupang Barat Kabupaten Kupang Maria M.T. Olla; Hadi Imam Sutaji; Jonshon Tarigan; Bernandus; Ali Warsito
Jurnal Pendidikan dan Ilmu Fisika Vol 6 No 1 (2026): Juni 2026
Publisher : Universitas Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52434/jpif.v6i1.43935

Abstract

Research utilizing the geomagnetic method was conducted to identify the potential distribution of subsurface manganese in the Oenesu area, West Kupang District, Kupang Regency. Data comprising total magnetic field and diurnal variation measurements were acquired using a G-856AX Proton Precession Magnetometer via the looping method across 119 measurement points spaced at 35 meter intervals. The data underwent diurnal and IGRF corrections, upward continuation, 2D modeling and interpretation. The interpretation of magnetic anomalies revealed high anomaly values ​​40 nT to 240 nT, moderate anomalies -60 nT to 40 nT, and low anomalies -160 nT to -60 nT. Modeling results indicate a subsurface lithology composed of limestone susceptibility 0.001200 SI to 0.080327 SI, claystone susceptibility 0.000380 SI to 0.008349 SI, and sandstone susceptibility 0.000001 SI to 0.000999 SI. Correlating these indications with the magnetic anomalies and the typical geological associations of manganese suggests that the manganese deposits are likely associated with the limestone and claystone units. Integrating the modeling results from three cross-sections with the magnetic anomaly values ​​indicates that the potential manganese distribution is predominantly located in the southern, southeastern, and northern parts of the study area, at depths ranging from 9.55 m to 107.28 m.
Segmentasi Citra Berbasis Python untuk Analisis Diameter Gelembung Mikro Ozon Plasma Korona Anggyta Fitryan; Ahmad Abdurrahman; Junaidi; Sri Suciati
Jurnal Pendidikan dan Ilmu Fisika Vol 6 No 1 (2026): Juni 2026
Publisher : Universitas Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52434/jpif.v6i1.44008

Abstract

Accurate measurement of microbubble size is an essential step in evaluating the performance of corona-discharge-based ozone systems because bubble diameter distribution strongly influences interfacial area and mass transfer efficiency. This study aimed to develop a Python-based application for automatic microbubble diameter analysis using digital image segmentation. The program was developed by integrating OpenCV, NumPy, Pillow, Tkinter, and Matplotlib to support image loading, region-of-interest selection, preprocessing, thresholding, contour detection, visualization, and bubble diameter calculation. Size calibration was performed using a field-of-view approach based on camera sensor parameters and lens magnification to determine the pixel-to-micrometer conversion factor. Bubble diameter was calculated using the equivalent circular diameter derived from the segmented contour area. The developed application successfully distinguished bubble populations generated by two ozone diffusers, producing average diameters of 4.09  for the C-50 diffuser and 3.37  for the C-80 diffuser. These results demonstrate that the program can automatically detect microbubbles and provide systematic size distribution for laboratory-scale image analysis. The proposed application offers a practical, transparent, and open-source solution for rapid microbubble diameter measurement and has potential for broader application in gas–liquid bubble image analysis.
Menuju Eksperimen Fisika Cerdas: Pendekatan KNN Berbasis Fisika untuk Rekonstruksi Gerak Peluru Menggunakan Analisis Video Tracker dalam Python M. Firman Ramadhan; M. Taufik; Muhammad Eka Putra Ramandha; Eka Safitri; Arya Anggara
Jurnal Pendidikan dan Ilmu Fisika Vol 6 No 1 (2026): Juni 2026
Publisher : Universitas Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52434/jpif.v6i1.44010

Abstract

This study develops a Physics-Informed K-Nearest Neighbors (KNN) approach to reconstruct projectile motion based on experimental data using Tracker video analysis and Python. This study is motivated by the limitations of idealized physical models in representing real experimental conditions, which are influenced by air resistance, measurement noise, and data uncertainty. The research method comprises three main stages: acquisition of parabolic motion data using Tracker, theoretical modeling based on kinematic equations, and trajectory reconstruction using KNN. The results show that Physics-Informed KNN produces trajectories that are closer to the observed data compared to pure physics models. Horizontal motion exhibits the characteristics of uniform linear motion (ULM), while vertical motion forms a parabolic pattern consistent with uniformly accelerated linear motion (UALM). Error analysis indicates that the best performance is achieved at K = 2 with the minimum RMSE value. Based on the experimental dataset analyzed, the integration of machine learning and physical principles shows potential for improving the accuracy of dynamic system reconstruction under realistic experimental conditions.
Profil Pemahaman Konsep dan Miskonsepsi Peserta Didik pada Materi Gelombang Bunyi melalui LKPD Berbasis Simulasi PhET Sound Waves Afrizal; Lina Aviyanti; Ratih Sirnawati; Alfiansah Sandion Prakoso
Jurnal Pendidikan dan Ilmu Fisika Vol 6 No 1 (2026): Juni 2026
Publisher : Universitas Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52434/jpif.v6i1.43944

Abstract

This study aimed to profile students' conceptual understanding and identify misconceptions on sound waves through PhET Sound Waves simulation-based worksheets (LKPD). A quantitative descriptive method was employed involving 36 eleventh-grade students divided into nine groups. Data were collected from students' worksheet responses and analyzed using four conceptual understanding indicators adapted from Anderson and Krathwohl: explaining, interpreting, applying, and connecting. The results showed that the applying indicator achieved the highest performance (100%), followed by interpreting (88.9%), connecting (66.7%), and explaining (44.4%). The findings revealed that students demonstrated strong procedural and interpretative abilities but experienced difficulties in explaining underlying physical concepts. The most common misconception was the belief that the speed of sound depends on frequency. This misconception was associated with inaccuracies in measuring wavelength using the virtual simulation, which led students to misinterpret fluctuations in calculated sound speed. These findings indicate that PhET-based worksheets effectively support conceptual interpretation and mathematical application; however, teacher guidance during reflection remains necessary to prevent misconceptions and strengthen conceptual understanding.
Integrasi Isu Energi Terbarukan dalam Pembelajaran Perubahan Energi untuk Meningkatkan Literasi Lingkungan: Tinjauan Literatur Elia Putri; Hanna Aulia Siregar; Dahlia Harahap; Halimah Berliani; M. Za'far Tholib; R.R Misha Emyra; Riska Pradila
Jurnal Pendidikan dan Ilmu Fisika Vol 6 No 1 (2026): Juni 2026
Publisher : Universitas Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52434/jpif.v6i1.43987

Abstract

Global environmental crises, including global warming and climate change, demand a radical reorientation in science education to foster ecological awareness. This study aims to examine the integration of renewable energy issues within the "Forms and Changes of Energy" topic as a pedagogical strategy to improve students' environmental literacy and cognitive competence. Employing a systematic literature review method, this study analyzes various empirical findings related to the implementation of active learning models and digital technology media. The synthesis demonstrates that integrating renewable energy issues through active learning models, specifically Project-Based Learning (PjBL) integrated with STEM/STEAM, Socio-Scientific Issues (SSI), and the SETS approach, significantly enhances students' green behavior and ecological consciousness. Furthermore, interactive digital instruments, such as PhET simulations and Google Sites, effectively visualize abstract concepts, increase average cognitive scores (from 55.3 to 78.7), and stimulate Higher-Order Thinking Skills (HOTS). Additionally, combining PjBL with differentiated learning yields a high increase in climate change awareness, evidenced by an N-gain score of 0.70. This study concludes that a contextual and prudent transformation of physics education can effectively convert theoretical comprehension into concrete sustainable actions.
Penerapan Project-Based Learning melalui Pengembangan Alat Filter Udara Berbasis Karbon Aktif dan Arduino sebagai Solusi Masalah Lingkungan Iin Inayah; Tantri Rahmayu; Halwa Anisa Zaitun
Jurnal Pendidikan dan Ilmu Fisika Vol 6 No 1 (2026): Juni 2026
Publisher : Universitas Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52434/jpif.v6i1.44233

Abstract

Air pollution caused by cigarette smoke and vehicle emissions poses serious health risks and provides a meaningful context for project-based learning. This study aimed to describe the implementation of Project-Based Learning (PjBL) through the development of an activated carbon- and Arduino-based air filter and to examine its contribution to students' critical thinking and problem-solving skills. A qualitative descriptive case study was conducted following engineering-based PjBL stages, including problem identification, prototype construction, testing, redesign, and product presentation. Data were collected using PjBL implementation observation sheets, product quality assessment rubrics, and oral communication rubrics. Students developed a prototype incorporating activated carbon, an MQ-135 air quality sensor, a DC fan, and an Arduino Uno. Initial testing revealed limitations in sensor stability, filtration efficiency, and structural strength. These issues were addressed through iterative redesign by improving the filter material, reinforcing the frame, and adding a magnetic locking mechanism. The final prototype demonstrated improved performance, stability, and design quality. Descriptive statistics indicated that PjBL was effectively implemented and promoted students' critical thinking and problem-solving skills through authentic, context-based engineering experiences.
Analisis Miskonsepsi Materi Fluida Statis Menggunakan Four Tier Diagnostic Test pada Siswa SMA Nenden Farida Alia; Irma Fitria Amalia; Rizal Adimayuda
Jurnal Pendidikan dan Ilmu Fisika Vol 6 No 2 (2026): December 2026 (in press)
Publisher : Universitas Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52434/jpif.v6i2.44316

Abstract

This study aims to analyze students' misconceptions on the static fluid concept using a Four-Tier Diagnostic Test instrument. Static fluid material was chosen because of its complex characteristics and potential to cause misconceptions, particularly in the sub-concepts of hydrostatic pressure, Pascal's law, and Archimedes' principle. This study used a descriptive method with a quantitative approach. The subjects were 68 eleventh-grade students from a public senior high school in Garut Regency, selected through purposive sampling. The research instrument consisted of a four-tier diagnostic test comprising 15 multiple-choice items. The data obtained were analyzed based on the combination of students' answers at each tier to identify categories of conceptual understanding, misconception, lack of understanding, and partial understanding. The results showed that overall, 37.74% of students experienced misconceptions, 37.65% understood the concept, 14.31% did not understand the concept, and 10.30% partially understood the concept. At the sub-concept level, the highest misconception was found in Pascal's law (52.20%), followed by Archimedes' principle (41.47%) and hydrostatic pressure (25%). The highest item-level misconception occurred in item number 7 concerning the lifting force on a piston, with a percentage of 73.53%. These results indicate the need for more serious efforts in identifying and remediating student misconceptions, as well as the importance of applying in-depth diagnostic instruments such as the Four-Tier Diagnostic Test in physics learning.
Implementasi Augmented Reality (AR) Laboratory Terhadap Pemahaman Konsep Siswa Pada Materi Listrik Dinamis Silpia Pirgianti; Ali Ismail; Dini Andriani
Jurnal Pendidikan dan Ilmu Fisika Vol 6 No 2 (2026): December 2026 (in press)
Publisher : Universitas Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52434/jpif.v6i2.44317

Abstract

This study aims to determine the improvement and effectiveness of students' conceptual understanding of dynamic electricity through the implementation of an Augmented Reality (AR) Laboratory application. A quantitative approach with a quasi-experimental method was used, employing a non-equivalent control group design. The participants were two tenth-grade classes at SMK Negeri 2 Garut, consisting of an experimental class (n = 26) taught using the AR Laboratory application and a control class (n = 24) taught using a conventional problem-solving method. The research instrument consisted of 12 validated and reliable essay items measuring conceptual understanding indicators (interpreting, exemplifying, classifying, explaining, and inferring). The mean pretest score was 8.88 for the control class and approximately 16.2 for the experimental class, while the mean posttest score increased to 22.92 for the control class and 29.12 for the experimental class. Because the data were normally distributed but not homogeneous, hypothesis testing was carried out using an independent samples t-test with equal variances not assumed, which yielded a significance value (2-tailed) of less than 0.001, indicating a significant difference between the two groups. The N-Gain analysis showed a mean score of 0.5433 (moderate category) for the experimental class and 0.4577 (moderate category) for the control class. The Cohen's d effect size was 0.990, categorized as moderate, indicating that 83.9% of the experimental group scored above the control group's average. These findings indicate that the implementation of the AR Laboratory application has a significant effect and provides a greater improvement in students' conceptual understanding of dynamic electricity compared to conventional learning.

Page 18 of 18 | Total Record : 178

 14   15   16   17   18 

Filter by Year

2021 2026


Reset
Filter By Issues
All Issue Vol 6 No 2 (2026): December 2026 (in press) Vol 6 No 1 (2026): Juni 2026 Vol 5 No 2 (2025): Desember 2025 Vol 5 No 1 (2025): Juni 2025 Vol 4 No 2 (2024): December 2024 Vol 4 No 1 (2024): June 2024 Vol 4, No 1 (2024): June 2024 Vol 3 No 2 (2023): December 2023 Vol 3, No 2 (2023): December 2023 Vol 3 No 1 (2023): June 2023 Vol 3, No 1 (2023): June 2023 Vol 3, No 2 (2023): Jurnal Pendidikan dan Ilmu Fisika Vol 3, No 1 (2023): Jurnal Pendidikan dan Ilmu Fisika Vol 2, No 2 (2022): December 2022 Vol 2 No 2 (2022): December 2022 Vol 2, No 1 (2022): June 2022 Vol 2 No 1 (2022): June 2022 Vol 2, No 2 (2022): Jurnal Pendidikan dan Ilmu Fisika Vol 2, No 1 (2022): Jurnal Pendidikan dan Ilmu Fisika Vol 1, No 2 (2021): December 2021 Vol 1 No 2 (2021): December 2021 Vol 1 No 1 (2021): June 2021 Vol 1, No 1 (2021): June 2021 Vol 1, No 2 (2021): Jurnal Pendidikan dan Ilmu Fisika Vol 1, No 1 (2021): Jurnal Pendidikan dan Ilmu Fisika More Issue