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Contact Name
Rahmat Perdana
Contact Email
rahmat260997@gmail.com
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Journal Mail Official
cic.sjpe@gmail.com
Editorial Address
Cahaya Ilmu Cendekia Publisher, Jambi, Indonesia 36361
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INDONESIA
Schrödinger: Journal of Physics Education
ISSN : 27163229     EISSN : 27161587     DOI : https://doi.org/10.37251/sjpe
Core Subject : Education, Social,
Covers all the Schrödinger: Journal of Physics Education (SJPE) at the level of primary, secondary, senior, and higher education. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on Educational advancements and establishing new collaborations in these areas. Original research papers and state-of-the-art reviews are invited for publication in all areas of Schrödinger: Journal of Physics Education (SJPE). Topics of Interest include, but are not limited to the following: Physics Education Literacy Ethophysics-Based Learning Collaborative & Interactive In Physics Learning Learning Analysis for Physics Education Physics Education Management Systems STEM (Science, Technology, Engineering, Mathematics) in Physics Education Virtual-Based Learning In The Laboratory E-Learning And Multimedia For Physics Education Physics Teacher Evaluation Curriculum, Research, and Development for Physics Education Web-Based Tools For Physics Education Learning/Teaching Methodologies and Assessment in Physics Education Global Issues in Physics Education Games and Simulations in Physics Education Mobile/Ubiquitous Computing In Physics Education
Articles 284 Documents
Ultrasound Therapy: Modulation of Abdominal Fat and Triglyceride Levels in Rats Isnanniah, Isnanniah; Ibrahim, Rabiat Ohunene
Schrödinger: Journal of Physics Education Vol. 7 No. 2 (2026): April
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/sjpe.v7i2.3089

Abstract

Purpose of the study: This study aimed to investigate the effect of ultrasonic wave exposure with different intensity levels on abdominal circumference and blood triglyceride levels in white rats (Rattus norvegicus) as an experimental model for non-invasive fat reduction therapy. Methodology: This study used an experimental in vivo pretest–posttest control group design involving 12 male Wistar rats. Ultrasonic therapy was administered using a 1 MHz ultrasound therapy device with three intensity modes for 4 minutes daily over 6 days. Abdominal circumference was measured using a measuring tape, while triglyceride levels were analyzed using a portable strip-based digital analyzer. Main Findings: The results showed that ultrasonic wave intensity influenced abdominal circumference and blood triglyceride levels in white rats. Mode 2 intensity produced the greatest reduction in abdominal circumference by 6.50%, while Mode 3 most effectively suppressed the increase in triglyceride levels, with only a 0.02% increase. In contrast, the control group showed significant increases in both abdominal circumference and triglyceride levels. Novelty/Originality of this study: This study provides a novel contribution by systematically comparing different ultrasonic intensity modes on both abdominal circumference and blood triglyceride levels simultaneously. The findings identify optimal intensity parameters for non-invasive lipid regulation therapy and expand current knowledge regarding the biophysical application of ultrasound technology in obesity and triglyceride management.
Beyond Obstacle Avoidance: Ultrasonic Wave Diffraction and Multi-Sensor Integration in a Follow-Me Robot Shahab Moradi Kelardeh; Syarif Maulana; Ookjin Jung
Schrödinger: Journal of Physics Education Vol. 7 No. 3 (2026): June
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/sjpe.v7i3.3328

Abstract

Purpose of the study: This study aimed to design and evaluate a low-cost follow-me robot system based on ultrasonic and infrared sensor integration for object tracking, obstacle avoidance, and indoor autonomous navigation applications. Methodology: The study used HC-SR04 ultrasonic sensors, infrared sensors, Arduino Nano, L298N motor driver, DC motors, and Pulse Width Modulation (PWM) control. Experimental methods were conducted through distance measurement, angular response testing, obstacle avoidance evaluation, payload variation testing, and robot speed analysis under indoor operating conditions. Main Findings: The results showed that the proposed robot achieved stable object-following performance within the range of 40–80 cm. Rectangular objects produced more stable ultrasonic reflections than cylindrical objects because of lower wave scattering. Higher PWM values increased robot speed, while larger payloads reduced movement efficiency. The system also demonstrated effective directional correction and obstacle avoidance capability during indoor navigation experiments. Novelty/Originality of this study: The novelty of this study lies in the integration of ultrasonic and infrared sensors with the analysis of ultrasonic wave diffraction characteristics, object geometry influence, PWM-based motor control, and payload performance within a single follow-me robotic platform. The proposed system provides a comprehensive and low-cost approach for autonomous indoor robotic navigation and lightweight transportation applications.
Machine Learning-Based Classification of Bone Tumor Severity: A Comparative Study of Classical Algorithms Listia Rizka Triaswati; Dang Thi Thanh Thuy
Schrödinger: Journal of Physics Education Vol. 7 No. 3 (2026): June
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/sjpe.v7i3.3385

Abstract

Purpose of the study: This study aims to evaluate and compare the performance of four machine learning algorithms Naïve Bayes, Logistic Regression, Decision Tree, and Random Forest for bone tumor grade classification using structured clinical data and to identify the most effective algorithm for supporting diagnostic decision-making in orthopedic oncology. Methodology: An experimental quantitative research design was employed using a publicly available Bone Tumor dataset from Kaggle containing 500 records. Model development was conducted in Google Colaboratory using Python and Scikit-learn. The evaluated algorithms included Naïve Bayes, Logistic Regression, Decision Tree, and Random Forest. Data preprocessing, feature selection, and train-test splitting (80:20) were performed. Model performance was assessed using accuracy, precision, recall, and F1-score metrics. Main Findings: The results demonstrated that all machine learning models were capable of classifying bone tumor grades with satisfactory performance. Logistic Regression achieved the best overall performance, obtaining 81% accuracy, precision values of 79–82%, recall values of 73–86%, and F1-scores of 76–84%. Decision Tree and Naïve Bayes showed moderate performance, while Random Forest exhibited reduced testing performance despite strong training results, indicating overfitting and lower generalization capability. Novelty/Originality of this study: This study contributes a comprehensive comparison of classical machine learning algorithms for bone tumor grade classification using structured clinicopathological data rather than imaging data. The findings demonstrate that interpretable models such as Logistic Regression can achieve reliable predictive performance, providing an accessible and computationally efficient alternative for clinical decision-support systems in resource-limited healthcare.
Promoting Analytical Thinking in Physics Learning: The Integration of a Scientific Approach and Flying Water Apparatus in Projectile Motion Instruction Mayuriko Olivia Pertiwi; Asay Gidena
Schrödinger: Journal of Physics Education Vol. 7 No. 3 (2026): June
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/sjpe.v7i3.3394

Abstract

Purpose of the study: This study aimed to investigate the effect of a Scientific Approach assisted by the Flying Water Apparatus on students’ analytical skills in projectile motion learning, specifically examining whether integrating inquiry-oriented activities with a physical visualization tool could effectively enhance students’ analytical thinking abilities. Methodology: This study employed a quasi-experimental design using a non-equivalent control group design. Participants consisted of Grade 10 science students at Madrasah Aliyah Universitas Islam Negeri Syarif Hidayatullah Jakarta selected through purposive sampling. Data were collected using an analytical skills test and a Student Response Questionnaire. Statistical analyses included Shapiro–Wilk normality tests, Levene’s and Bartlett’s homogeneity tests, Mann–Whitney U tests, independent-samples t-tests, and N-gain analysis. Main Findings: The experimental group achieved a higher posttest mean score (6.21) than the control group (4.57). Statistical analysis revealed a significant difference between groups (p = 0.001). The experimental group obtained a medium N-gain score (0.60), while the control group achieved a low N-gain score (0.23). The findings indicate that the scientific approach assisted by the Flying Water Apparatus significantly improved students’ analytical skills in projectile motion learning. Novelty/Originality of this study: This study integrates the Scientific Approach and a low-cost Flying Water Apparatus within a single instructional intervention to enhance analytical skills in projectile motion learning. Unlike previous studies that focused on conceptual understanding or learning achievement, this research specifically examines analytical skills based on the dimensions of differentiating, organizing, and attributing, thereby extending evidence regarding inquiry-based physics instruction and higher-order thinking development.
Experimental Time Series Design for Continuous Assessment in Physics Learning: A Qualitative Exploration of Teacher Perspectives Umi Nadrah
Schrödinger: Journal of Physics Education Vol. 7 No. 3 (2026): June
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/sjpe.v7i3.3404

Abstract

Purpose of the study: This study explored teachers’ perspectives on physics learning problems and examined the potential of Experimental Time Series Design for continuous assessment. It also identified opportunities to improve assessment practices through repeated measurements and evidence-based monitoring of students’ learning progress. Methodology: This study employed descriptive qualitative research. Data were collected through observation and semi-structured interviews involving one physics teacher with twenty-one years of teaching experience at Dharmawangsa Private High School Medan. Observation sheets and interview guidelines were used as research instruments. The data were analyzed using the Miles and Huberman interactive model, including data reduction, data display, and conclusion drawing. Main Findings: The findings indicated that students experienced difficulties in understanding abstract physics concepts and maintaining learning motivation. Existing assessment practices were mainly based on written tests and focused on final achievement rather than continuous learning development. Digital platforms such as Google Forms, Kahoot, and Quizizz had been utilized, but the resulting data were primarily used for documentation purposes. The participant expressed positive perceptions regarding the potential use of Experimental Time Series Design for supporting continuous assessment and monitoring students’ progress over time. Novelty/Originality of this study: This study offers a new perspective by exploring teachers’ views on the potential implementation of Experimental Time Series Design for continuous assessment in physics learning. Unlike previous studies emphasizing learning difficulties and instructional media, this study highlights repeated measurements as an alternative framework for monitoring learning development and supporting evidence-based assessment practices in physics education.
Needs Analysis of HOTS-Based Digital Assessment in Physics Learning for Enhancing Critical Thinking Skills Muhammad Toha; Aseel AINaser
Schrödinger: Journal of Physics Education Vol. 7 No. 3 (2026): June
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/sjpe.v7i3.3406

Abstract

Purpose of the study: This study aims to analyze the need for implementing HOTS-based digital assessment in physics learning and to identify learning challenges, assessment practices, and opportunities for enhancing senior high school students’ critical thinking skills through the integration of digital technologies. Methodology: This study employed a descriptive qualitative research design using a needs analysis approach. Data were collected through semi-structured interviews involving five senior high school physics teachers. The research instrument was an interview guide consisting of ten questions. Data were analyzed using thematic analysis, including transcription, coding, categorization, and interpretation of emerging themes. Main Findings: Physics learning remains predominantly teacher-centered, resulting in limited student participation and engagement. Students demonstrated difficulties in solving analytical and contextual problems requiring higher-order thinking skills. Critical thinking skills were not optimally developed due to conventional assessment practices. Teachers expressed a strong need for HOTS-based digital assessment and identified Quizizz and PhET as potential technologies to support student engagement, conceptual understanding, and critical thinking development. Novelty/Originality of this study: This study contributes by focusing on the needs analysis of HOTS-based digital assessment in physics learning before intervention implementation. It integrates issues of student participation, critical thinking skills, assessment practices, and digital technology readiness within a single framework. The study also highlights the combined potential of Quizizz and PhET to support assessment innovation and critical thinking development in physics education.
Development and Performance Evaluation of a Low-Cost Embedded Smart Cane with Complementary Ultrasonic Sensors Moh Nur Bimantoro; Margareta Diacenco; Marvin Mendes Cabral
Schrödinger: Journal of Physics Education Vol. 7 No. 3 (2026): June
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/sjpe.v7i3.3541

Abstract

Purpose of the study: This study aims to design, develop, and evaluate a low-cost smart cane based on an ATmega32 microcontroller and dual ultrasonic sensors to assist visually impaired individuals by detecting both elevated and ground-level obstacles through real-time auditory feedback during independent navigation. Methodology: This study employed a research and development approach using an ATmega32 microcontroller, HC-SR04 ultrasonic sensor, PING Parallax ultrasonic sensor, LCD 16×2, active buzzer, USBasp programmer, CodeVision AVR, PVC cane structure, and descriptive statistical analysis based on Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and Mean Absolute Percentage Error (MAPE). Main Findings: The developed smart cane successfully detected upper- and ground-level obstacles with high measurement accuracy. The HC-SR04 sensor achieved MAE, RMSE, and MAPE values of 0.32 cm, 0.43 cm, and 1.56%, while the PING Parallax sensor obtained 0.20 cm, 0.24 cm, and 1.12%, respectively. The complementary sensing configuration provided reliable obstacle detection, wider environmental coverage, and effective real-time auditory warnings for safer navigation. Novelty/Originality of this study: This study introduces a lightweight smart cane integrating complementary HC-SR04 and PING Parallax ultrasonic sensors with an ATmega32 microcontroller to detect obstacles at different heights using a simple embedded architecture. Unlike many existing systems requiring artificial intelligence or computer vision, the proposed design offers affordable implementation, quantitative performance validation, and practical mobility assistance suitable for resource-constrained environments.
Perbandingan Sikap Kemandirian Siswa pada Mata Pelajaran Fisika Rimi Wandani
Schrödinger: Journal of Physics Education Vol. 1 No. 3 (2020): September
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/sjpe.v1i3.439

Abstract

Tujuan Penelitian: untuk dapat mengetahui perbandingan sikap kemandirian siswa terhadap mata pelajaran fisika di SMAN 1 Bungo. Metodologi: Metode dalam penelitian ini yaitu dari segi pengamblan sampel terdiri dari 2 kelas. Kelas untuk pengambilan sampel yaitu kelas X mia1 dan kelas X mia 3, didalam pengambilan sampel ini peneliti mengambi 20 sampel untuk setiap kelas. Temuan Utama: Hasil yang tedapat pada penelitian ini adalah dilihat dari Berdasarkan output di atas diketahui nilai Sig. Levene’s Test for Equality of Variances adalah sebesar 0,783 > 0.,05 maka dapat diartikan bahwa varians data arata eklas X mia 1 dengan kelas X mia 3 adalah homogen atau sama. perbandingan sikap kemandirian pada siswa antara kelas antara Kelas X mia 1 dengan kelas X mia 3 memiliki perbedaan. Keterbaruan/Keaslian dari Penelitian: Mengetahui adakah perbandingan kemandirian siswa pada mata pelajaran fisika.
Single Subject Design for Digital Assessment in Secondary Education: Exploring Opportunities and Challenges from Teachers' Perspectives Nisa Karmila; Amin Ajlouni
Schrödinger: Journal of Physics Education Vol. 7 No. 4 (2026): August
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/sjpe.v7i4.3405

Abstract

Purpose of the study: This study aims to explore teachers’ perspectives regarding the opportunities and challenges of implementing Single Subject Design (SSD) in digital assessment practices at the secondary education level and to identify the potential contribution of SSD to individualized and continuous assessment processes. Methodology: This study employed a descriptive qualitative research design. Data were collected through observation and semi-structured interviews using observation sheets and interview guidelines. Purposive sampling was used to select participants. Digital tools such as Google Classroom, Quizizz, Microsoft Excel, and digital portfolios were identified during the study. Data were analyzed using the Miles and Huberman interactive model consisting of data reduction, data display, and conclusion drawing and verification. Main Findings: The findings indicated that digital assessment had been implemented through various platforms to support assessment activities in secondary education. Teachers perceived that Single Subject Design offered opportunities for repeated measurements, individualized monitoring, and systematic documentation of learning progress. However, several challenges were identified, including limited understanding of SSD, time constraints, workload, differences in digital literacy, and technological limitations. Teachers also demonstrated positive attitudes toward the potential integration of SSD into digital assessment practices. Novelty/Originality of this study: This study provides a qualitative perspective on the opportunities and challenges of integrating Single Subject Design into digital assessment from teachers’ viewpoints in secondary education. Unlike previous studies focusing mainly on intervention outcomes, this research emphasizes practical experiences and contextual factors influencing implementation, thereby contributing new insights into evidence-based and student-centered assessment practices.
Learning Obstacles in High School Physics and the Potential of Digital Assessment to Improve Learning Outcomes: A Qualitative Investigation Fransiskus Andut
Schrödinger: Journal of Physics Education Vol. 7 No. 4 (2026): August
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/sjpe.v7i4.3407

Abstract

Purpose of the study: This study aims to identify learning obstacles encountered in high school physics, examine teachers’ perceptions of digital assessment, and explore the potential application of a Nonequivalent Control Group Design framework to support improvements in physics learning outcomes and assessment practices. Methodology: A qualitative descriptive approach was employed in this study. Data were collected through classroom observations, semi-structured interviews, observation sheets, interview guides, and field notes. Participants consisted of physics teachers from five senior high schools in Jambi Province, Indonesia. Data were analyzed using thematic analysis to identify recurring themes related to learning obstacles, assessment practices, and digital assessment implementation. Main Findings: The findings revealed that students experienced learning obstacles related to conceptual understanding, mathematical reasoning, abstract physics topics, and limited practical experiences. Low motivation, differences in student abilities, and inadequate learning resources were identified as factors affecting learning outcomes. Teachers perceived digital assessment positively because it increased assessment efficiency, provided immediate feedback, and enhanced student engagement. Internet connectivity and device availability remained the primary challenges during implementation. Novelty/Originality of this study: This study contributes to the literature by integrating the analysis of learning obstacles with the exploration of digital assessment in high school physics education. Unlike previous studies that primarily focused on technology adoption, this research identifies specific instructional challenges and proposes a Nonequivalent Control Group Design framework as a practical basis for evaluating future digital assessment interventions in authentic classroom settings.