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Gravity : Jurnal Ilmiah Penelitian dan Pembelajaran Fisika
Published by Universitas Sultan Ageng Tirtayasa
ISSN : 2442515X     EISSN : 25281976     DOI : http://dx.doi.org/10.30870/gravity.vxix
Core Subject : Science, Education,
Astronomy Earth & Planetary Sciences Education Materials Science & Nanotechnology Physics
The focuses of the manuscript received in the Gravity journal is limited to the topic: Physics Education (Media, Educational Policy, Assessment, Learning Model) Theoretical Physics Material Physics Earth and Environmental Physics Astrophysics Medical Physics Computational Physics and Instrumentation
Arjuna Subject : Fisika dan Astronomi - Fisika dan Astronomi (Lain-Lain)
Articles 224 Documents
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Development of an information system to test formalin content in salted fish with Java NetBeans Dewi Anggraini Anggraini; Robby Mafirli; Stella Apfiasari; Endi Permata; Yus Rama Denny; Irvan Akram
Gravity : Jurnal Ilmiah Penelitian dan Pembelajaran Fisika Vol 12, No 1 (2026)
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/gravity.v12i1.41403

Abstract

Salted fish, nowadays, most traders use dangerous preservatives; the preservative is Formalin. Traders use these chemicals because food becomes more durable, even though it will be consumed by humans. But because of a lack of public knowledge about foods that contain hazardous chemicals. Therefore, an automatic device based on an Arduino Uno R3 microcontroller is designed. This Arduino Uno R3 microcontroller-based system can test food practically and effectively, which shows quantitative results, because it does not take a long time to see the results. The TCS3200 color sensor is used to detect food samples containing Formalin mixed with Formalin Main Reagent according to the dose. Then the sensor will detect the color that changes after everything has reacted, and the buzzer alarm will sound when the positive result contains Formalin. The test results will be displayed on the 16x2 LCD screen and Java NetBeans application, where the output is in the form of detection of formalin or formalin-free. Preliminary data collection in this study was conducted using literature and observation. Data analysis techniques used are quantitative analysis and qualitative analysis. Based on the results of the study, the level of performance test data, Development of Formalin Content Test Equipment in Salted Fish Using TCS3200 Color Sensor Based on Arduino Microcontroller, obtained a score of 74 with the category "Very Feasible".
“Who’s the next einsteingen?”: Evaluating a gamified Project-Based Learning model for TPACK development and user satisfaction in physics teacher preparation Yudi Guntara; Sohibatul Rizqiah; Aden Yusril Sasmita; Yoni Yoni; Bunga Kusuma Putri; Febri Sahara; Salwa Nurfitriandini; Muhammad Rayhan Dwi Ernanda
Gravity : Jurnal Ilmiah Penelitian dan Pembelajaran Fisika Vol 12, No 1 (2026)
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/gravity.v12i1.40966

Abstract

Physics teacher education is faced with the challenge of equipping prospective teachers with TPACK competencies and skills to design learning media that are relevant to Generation Z. This study aims to evaluate the effectiveness of gamification-integrated Project-Based Learning (PBL) programs through the production of educational game show media "Who's the Next Einsteingen?" or WtNE. This study uses a program evaluation approach with the CIPP and Kirkpatrick evaluation models. Participants consisted of 50 prospective physics teacher students as project makers and 40 students as audiences. Data was collected through project performance appraisal instruments and Likert-scale user response questionnaires, which were then analyzed using descriptive statistics. The results of the performance evaluation showed that the majority of project makers (66%) obtained a final grade of “A”, which indicates successful mastery of pedagogical and technical competencies. In addition, product evaluations show that audiences respond very positively, with gamification attractiveness indicators achieving the highest approval (87.8%). It can be concluded that the WtNE gamification-based PBL model is effective as a holistic learning ecosystem that is able to develop the competencies of prospective physics teachers while producing media that is in great demand by target users.
Subsurface characterization using shear wave velocity (Vs30) for seismic site classification in Muara Bangkahulu District, Bengkulu City, Indonesia Clora Ulandari; Refrizon Refrizon; Halauddin Halauddin; Arif Ismul Hadi; Hana Raihana; Mesi Prasisilia; Nurul Apriyanti; Sefti Dewi Sari; Yola Dwi Rahmadhani
Gravity : Jurnal Ilmiah Penelitian dan Pembelajaran Fisika Vol 12, No 2 (2026)
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/gravity.v12i2.38503

Abstract

Muara Bangkahulu District, Bengkulu City, is a coastal area located in an active seismic zone influenced by the Sumatra Subduction Zone and the Sumatra Fault. The geological conditions, dominated by alluvial sediments and swamp deposits, have the potential to amplify earthquake waves, requiring a study of subsurface characteristics as a basis for disaster mitigation. This study aims to identify variations in shear wave velocity (Vs30) and to determine soil site classification in accordance with SNI 1726:2019. The method used is Multichannel Analysis of Surface Waves (MASW), with ten measurement points and a track length of 50 m. The data were processed using Rayleigh-wave dispersion analysis and inversion to obtain a one-dimensional (1D) model, which was then integrated with two-dimensional (2D) modeling to describe lateral subsurface variations. The results show that the Vs30 value ranges from 137 to 450 m/s, with sites classified into SE, SD, and SC classes. The coastal area is dominated by soft-to-medium soils with high seismic amplification potential, while the central and eastern parts exhibit denser, more stable soil conditions. The integration of 1D and 2D models shows a heterogeneous subsurface structure both vertically and laterally. In conclusion, the MASW method is effective for technical considerations in seismic hazard assessment, for determining construction priorities, and for planning foundations better adapted to local soil conditions in the coastal area of Bengkulu City
Ethnophysics in physics education : a systematic review of trends, methods, and learning applications Iffah Khairiyah Ismayanti; Efa Musrifah; Heru Kuswanto
Gravity : Jurnal Ilmiah Penelitian dan Pembelajaran Fisika Vol 12, No 2 (2026)
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/gravity.v12i2.41012

Abstract

Physics is often considered abstract and distant from everyday life, thus decreasing student learning interest. Ethnophysics has emerged as a pedagogical approach that connects scientific principles with local wisdom. This study, a Systematic Literature Review (SLR), examined 57 articles (2016–March 2026) using the PRISMA protocol and bibliometric mapping with VOSviewer. Results show an increase in publications since 2022, influenced by the Kurikulum Merdeka policy in Indonesia. The dominant topics are Classical Mechanics and Thermodynamics, many of which have been developed through Research and Development (R&D) into digital media such as e-modules, flipbooks, and AR/VR. Empirical evidence confirms that ethnophysics improves students' scientific literacy, critical thinking, and cultural identity. However, research is still limited to the integration of local wisdom with modern physics and electromagnetism. Future studies should emphasize longitudinal research to assess long-term impacts and expand the scope of culture-based physics curricula.
The Effect of gamma irradiation (Cs-137) on the chemical composition and antioxidant properties of Melinjo seeds (Gnetum gnemon L.) Astriyani Nur; Nurul Fuadi; Jumardin Jumardin; Asriani Asriani; Khaerul Bariah
Gravity : Jurnal Ilmiah Penelitian dan Pembelajaran Fisika Vol 12, No 2 (2026)
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/gravity.v12i2.38889

Abstract

Research has been conducted to determine the chemical functional groups, chemical composition, and antioxidant properties of melinjo seeds before and after gamma irradiation by Cs-137. This study utilized a Cs-137 radiation source at a distance of 200 cm with varying control doses (0 mGy), 1 mGy (0.2 hours), 2.5 mGy (0.4 hours), and 5 mGy (0.9 hours). Characterization methods included FTIR for analyzing chemical functional groups, SEM-EDX for analyzing the surface of melinjo seeds, and chemical composition analysis after gamma irradiation with Cs-147. Antioxidant testing used the DPPH (2,2-diphenyl-1-picrylhydrazyl) method and a UV-Vis spectrophotometer at a wavelength of 516 nm. Different gamma radiation doses from Cs can cause changes in the chemical structure of melinjo seeds, as evidenced by changes in transmission intensity at different wavelengths. This indicates changes in functional groups such as (O-H), (C=C), and (C-H), with the highest dose (5 mGy) having a significant impact on structural changes due to Cs-137 radiation exposure. Gamma irradiation exposure at a dose of 5 mGy on melinjo seed powder can be seen in the carbon (C) element, which increases from 34.35% to 37.95%, while other elements (O, K, S, P, Si) tend to decrease, thereby affecting the surface structure of the material in melinjo seed powder. The antioxidant activity test results before and after Cs-137 gamma irradiation were distributed as follows: (0 mGy) 0.1086%, (1 mGy) 0.2074%, (2.5 mGy), (5 mGy) 0.1544%, (5 mGy) 0.1232%. The antioxidant properties after irradiation at low doses showed an increase in IC50 values, while at high doses, there was a decrease in IC50 values, thereby reducing the antioxidant potential of melinjo seeds
Comparison of calibrated deterministic models and machine learning for shear wave velocity prediction: a case study of the talang akar formation, South Sumatra basin Tati Zera; Praditiyo Riyadi; Zanata Putra Pamungkas
Gravity : Jurnal Ilmiah Penelitian dan Pembelajaran Fisika Vol 12, No 2 (2026)
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/gravity.v12i2.40562

Abstract

Accurate prediction of shear wave velocity (Vs) is a crucial element in seismic modeling, amplitude variation with offset (AVO) analysis, and comprehensive reservoir characterization. However, the availability of direct measurement data from sonic logs is frequently limited, particularly in older exploration wells or those with incomplete datasets. This study presents an in-depth comparative analysis between machine learning (ML) algorithms and conventional deterministic methods for estimating Vs values in an exploration well. Three ML algorithms, namely XGBoost, K-Nearest Neighbor (KNN), and Support Vector Machine (SVM), were evaluated against actual measured data and compared with both the standard Castagna equation and a locally calibrated version optimized through sensitivity analysis. Quantitative results demonstrate that the XGBoost algorithm delivers the highest predictive performance, achieving a Coefficient of Determination (R2) of 0.991, alongside the lowest error metrics (MAE = 62.3 m/s; RMSE = 92.5 m/s). Conversely, the standard Castagna equation exhibits significant inaccuracies in high-velocity zones exceeding 2500 m/s. Through sensitivity analysis, this study successfully optimized the empirical constants, producing a calibrated Castagna equation. Although ML models are statistically superior in capturing complex petrophysical patterns, the modified Castagna equation proves to be a robust and highly practical alternative for exploration scenarios with constrained datasets. This study recommends deploying XGBoost for field-scale developments to simultaneously process massive multi-well data without requiring time-consuming individual recalibrations. Ultimately, integrating ML techniques and local coefficient optimization significantly minimizes uncertainties in hydrocarbon exploration through precise elastic rock parameter estimation.
The effect of POE (Predict Observe Explain) learning model with Algodoo on critical thinking skills and Physics learning outcomes in parabolic motion material of High School Students Hita Mara Cecilia; Subiki Subiki; Indrawati Indrawati; Ernasari Ernasari
Gravity : Jurnal Ilmiah Penelitian dan Pembelajaran Fisika Vol 12, No 2 (2026)
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/gravity.v12i2.39906

Abstract

All life is based on education as the most fundamental science. The low critical thinking skills and physics learning outcomes of students are caused by conventional learning models. To address this, the POE (Predict Observation Explanation) learning model integrated with Algodoo simulation media was implemented to improve critical thinking skills and student learning outcomes. This study aims to examine the effect of the POE (Predict Observation Explanation) learning model with Algodoo media on critical thinking skills and physics learning outcomes of students at SMAN 1 Rogojampi. The method used is a real experiment with a quantitative approach. The sample was selected using a cluster random sampling method from the 11th grade population. Data were collected through a post-test of critical thinking skills and learning outcomes, then analyzed with an Independent Sample t-test in IBM SPSS 26. The results obtained are a statistical test significance value of 0.000 (< 0.05) for both variables, so the null hypothesis is rejected. The conclusion of this study proves that the POE (Predict Observe Explain) learning model with Algodoo media has a significant influence in improving critical thinking skills and physics learning outcomes of high school students.
The paradigm shift to operator learning in physics-informed neural networks: A SciML review of DeepONet, FNO, and PINO Salsabila Endana Putri; Sherry Junira Sagita; Kheisya Nadiva Az-Zahra; Hamdi Akhsan; Nely Andriani
Gravity : Jurnal Ilmiah Penelitian dan Pembelajaran Fisika Vol 12, No 2 (2026)
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/gravity.v12i2.40359

Abstract

The transition from classical numerical methods which are often hampered by mesh dependency and the curse of dimensionality to Physics-Informed Neural Networks (PINNs) has marked a new paradigm shift in scientific computing through data-physics hybrid solutions. This study aims to map the evolutionary taxonomy of PINNs over the period from 2019 to 2024, with a specific focus on analysing the methodological transition from the Point-wise Prediction paradigm towards Operator Learning. Using a Focused Narrative Review approach on 36 selected primary studies, this review synthesises technological developments from the foundational phase to the latest architectural innovations. Key findings indicate that while standard PINNs offer mesh-free flexibility for single-equation instances, Neural Operator variants such as Deep Operator Networks (DeepONet) and Fourier Neural Operators (FNO) provide transformative computational efficiency. By adopting offline training and online inference strategies, these models are capable of achieving prediction speeds up to three orders of magnitude faster than traditional numerical solvers or standard PINNs. As a unique contribution, this article emphasises the urgency of a structured future research agenda, encompassing the pressing need for benchmark standardisation (such as the Scientific Machine Learning (SciML) initiative) and the development of architectural scalability to support exascale computing. This synthesis is intended to serve as a roadmap for the development of robust, industry-oriented digital twins.
Magnitude dependent liquefaction potential under deterministic earthquake scenarios in Lebong Sakti District, Bengkulu Province, Indonesia Tri Bintang Pratitis; Lindung Zalbuin Mase; Khairul Amri; Rena Misliniyati; Muharram Nur Fikri; Diefi Deayuzeta
Gravity : Jurnal Ilmiah Penelitian dan Pembelajaran Fisika Vol 12, No 2 (2026)
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/gravity.v12i2.41024

Abstract

Lebong Sakti District, located in Lebong Regency, Bengkulu Province, lies within an active tectonic setting influenced by the Sumatran Fault system and is characterized by fluvial deposits associated with the Ketahun River flowing into Lake Tes. These conditions contribute to the presence seismic events. This study evaluates liquefaction potential in Lebong Sakti District, Lebong Regency, Bengkulu using deterministic earthquake scenarios. The analysis is based on the 2017 earthquake (Mw 5.0) and additional scenarios of Mw 6.0, Mw 7.0, Mw 8.0, and Mw 9.0 to examine the sensitivity of liquefaction potential to increasing seismic energy. Liquefaction potential was evaluated using the simplified procedure through the calculation of Cyclic Stress Ratio (CSR), Cyclic Resistance Ratio (CRR), and Factor of Safety (FS), while the overall hazard level was assessed using the Liquefaction Potential Index (LPI). The results show that increasing earthquake magnitude significantly increases Peak Ground Acceleration (PGA) and CSR while reducing FS. The average LPI rises from 0.00 at Mw 5.0 to 15.67 at Mw 9.0, indicating higher liquefaction hazard levels. These findings highlight the importance of deterministic earthquake scenarios for geotechnical hazard assessment and disaster mitigation in seismic regions.
Design thinking mindset among undergraduate Physics education students in Banten, Indonesia: a multidimensional profile Deni Moh Budiman; Dadi Rusdiana; Achmad Samsudin; Riandi Riandi; Indri Sari Utami; Sohibun Sohibun
Gravity : Jurnal Ilmiah Penelitian dan Pembelajaran Fisika Vol 12, No 2 (2026)
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/gravity.v12i2.42973

Abstract

The design thinking mindset is increasingly recognized as an important disposition for pre-service teachers who are expected to design responsive, innovative, and collaborative learning experiences. This study profiles the design thinking mindset of undergraduate physics education students in Banten, Indonesia, across eight dimensions derived from Paparo's framework. A quantitative descriptive survey was conducted with 60 students using a 40-item questionnaire on a 5-point Likert scale, complemented by thematic analysis of three open-ended questions. The eight dimensions were Ambiguity Tolerance and Risk Embracing, Empathy and User-Centeredness, Open-mindedness and Diversity, Experimentation and Learning-oriented, Action-oriented Behavior, Radical Collaboration, Holistic Thinking and Problem Framing, and Creativity. Creativity obtained the highest mean score (M = 3.23, SD = 0.44), whereas Radical Collaboration obtained the lowest (M = 2.59, SD = 0.50); the overall mean was 2.90, indicating a moderate profile across dimensions. The qualitative analysis organized students' responses into recurring themes concerning multiple-solution generation, connections between physics and everyday contexts, innovative teaching approaches, preference for individual work, unequal participation, and limited interdisciplinary opportunities. The findings are interpreted in relation to the competencies emphasized in Kurikulum Merdeka, particularly creativity, collaboration, learner-centeredness, diversity, critical reasoning, and flexible project-based learning. Because the original data collection did not record demographic grouping variables, subgroup comparisons could not be performed; this limitation is explicitly acknowledged. The study provides an empirical baseline for strengthening design thinking dispositions in physics teacher preparation in Banten.

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