Rudi Purwanto
Program Studi Tadris IPA, Institut Studi Islam Sunan Doe, Indonesia

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ANALYSIS OF STUDENTS' MISCONCEPTIONS USING A THREE-TIER DIAGNOSTIC TEST ON GEOMETRIC OPTICS MATERIAL AT THE JUNIOR HIGH SCHOOL LEVEL Alwan Hadi; Rudi Purwanto
Jurnal Inovasi Fisika dan Edukasi Vol. 1 No. 1 (2025): June
Publisher : INERCYS: Institute of Educational, Research, and Community Service

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Abstract

Geometric optics is an important topic in junior high school physics education, but it often causes conceptual difficulties for students. Many students experience misconceptions due to limitations in understanding abstract physical phenomena such as reflection, refraction, and image formation. This study aims to analyze the form and level of students' misconceptions in geometric optics using the Three-Tier Diagnostic Test instrument. This study is a quantitative descriptive study using a survey approach. The instrument used is a three-tier diagnostic test specifically designed to identify students' conceptual understanding, consisting of 15 questions covering three aspects: multiple-choice answers, conceptual reasoning, and confidence level. Data were collected by distributing the test to 120 eighth-grade students from three junior high schools who had studied optical concepts. Data analysis techniques used classification based on the Treagust model, which distinguishes between students who understand the concept, have misconceptions, guess, have limited understanding, and do not understand. The results of the study show that 46% of students have misconceptions, 31% understand the concept correctly, 12% guess, 7% do not understand, and 4% have limited understanding. The highest misconceptions were found in the sub-topic of light refraction (62%), followed by shadows on lenses (55%) and curved mirrors (51%). Additionally, 67% of students answered with high confidence despite their incorrect answers, indicating that misconceptions are deeply rooted. It can be concluded that misconceptions remain a serious issue in geometric optics learning, and the use of the Three-Tier Diagnostic Test has proven effective in comprehensively identifying and mapping misconceptions. These findings provide a foundation for developing more targeted diagnostic-based learning strategies to enhance students' conceptual understanding.
A PRELIMINARY STUDY OF PHYSICS LEARNING THROUGH THE INTEGRATION OF MULTIVERSE NARRATIVE AND HYPOTHETICAL PHYSICS MODELING IN ENHANCING STUDENTS' SCIENTIFIC IMAGINATION Pathurrahman; Rudi Purwanto
Jurnal Inovasi Fisika dan Edukasi Vol. 1 No. 2 (2025): December
Publisher : INERCYS: Institute of Educational, Research, and Community Service

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Physics learning through the integration of multiverse narrative and hypothetical physics modeling constitutes an important aspect of physics education because conventional instructional approaches often limit students’ scientific imagination and their ability to explore abstract, speculative, and frontier concepts in modern physics. This limitation highlights the need for further research focusing on instructional strategies that explicitly promote imaginative reasoning while preserving scientific rigor. This preliminary study aims to examine the effectiveness of integrating multiverse narratives with hypothetical physics modeling in enhancing students’ scientific imagination and learning engagement in physics. The study employed an experimental method with a quasi-experimental design involving an experimental group and a control group. Data were collected using scientific imagination assessment tests, learning engagement observation sheets, and instructional documentation, and were analyzed through descriptive statistics and inferential analysis using an independent samples t-test. The results reveal that students in the experimental group demonstrated significantly higher scientific imagination scores (M = 84.2; SD = 6.5) compared to the control group (M = 71.6; SD = 7.3), with a statistically significant difference (t(58) = 5.72, p < 0.001) and a strong effect size (Cohen’s d = 0.88). In addition, learning engagement in the experimental group was categorized as high (M = 4.21) relative to the control group (M = 3.36), indicating more active participation in exploratory discussion, conceptual speculation, and reflective reasoning. These findings illustrate that the integration of multiverse narratives with hypothetical physics modeling effectively fosters scientific imagination and cognitive engagement by providing a structured space for speculative yet theory-informed thinking. This study contributes significantly to the advancement of physics education at both national and international levels by proposing an innovative pedagogical framework that bridges narrative-based learning, theoretical modeling, and imaginative science education. Furthermore, the findings are expected to serve as a reference for future research on creative physics instruction, speculative science learning, and interdisciplinary approaches that support the development of higher-order thinking skills in 21st-century physics education.
EXPLORATION OF AN ANDROID-BASED MYOPIA DETECTION AND PREVENTION SYSTEM IN CHILDREN USING THE EXTREME LEARNING MACHINE METHOD WITH A RISK FACTOR ANALYSIS AND EYE EXERCISE THERAPY APPROACH M. Fajar Akbar; Rudi Purwanto
Jurnal Inovasi Fisika dan Edukasi Vol. 2 No. 1 (2026): June
Publisher : INERCYS: Institute of Educational, Research, and Community Service

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Abstract

Myopia, or nearsightedness, is a visual impairment whose prevalence continues to increase, particularly among children. This condition is influenced by both genetic and environmental factors, such as excessive use of digital devices and insufficient outdoor activities. These challenges highlight the need for solutions that not only enable early detection but also provide effective preventive measures. This study aims to explore an Android-based system for the detection and prevention of myopia in children using the Extreme Learning Machine (ELM) method, combined with a risk factor analysis approach and eye exercise therapy. The research employs a qualitative method with a library research approach, utilizing various relevant scientific sources, including journals, books, and conference proceedings. Data were collected through systematic searches in academic databases using keywords aligned with the research variables, followed by a selection process based on relevance and source credibility. Data analysis was conducted using content analysis techniques, which involved stages of data reduction, categorization, synthesis, and inductive conclusion drawing. The findings indicate that the Extreme Learning Machine method demonstrates high accuracy and efficient processing speed in detecting myopia, while the Android platform offers accessibility and ease of use for users. The primary risk factors identified include excessive screen time and limited outdoor activity. Furthermore, eye exercise therapy has been shown to improve visual acuity and reduce eye strain. The integration of these components results in a comprehensive system that functions not only as a detection tool but also as an educational and preventive medium. This study contributes to the field of education by providing a technology-based health education tool and to the scientific community through the advancement of artificial intelligence applications in healthcare. Future research is recommended to extend this study through experimental approaches or direct system implementation to empirically evaluate its effectiveness in real-world settings.