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Gravity Edu : Jurnal Pembelajaran dan Pengajaran Fisika
ISSN : 26852586     EISSN : 25993143     DOI : https://doi.org/10.33627/ge.v5i1
Gravity Edu : Jurnal Pembelajaran dan Pengajaran Fisika merupakan jurnal open-access peer-review double-blind. Naskah yang masuk akan melalui proses seleksi editor dan team reviewer. Jurnal Gravity Edu merupakan terbitan dari Program Studi Pendidikan Fisika STKIP Bima mulai menerbitkan artikel Online pada tahun 2018. Artikel diterbit 2 kali setahun pada bulan April dan November. Jurnal Gravity Edu adalah sebagai media publikasi informasi, hasil pemikiran dan penelitian berupa karya ilmiah dibidang pendidikan Fisika, Ilmu Fisika, Astronomi dan umumnya IPA (sains)
Articles 84 Documents
Studi Metrik Schwarzschild Termodifikasi Dalam Teori Gravitasi f(R) Azwar Sutiono
Gravity Edu : Jurnal Pembelajaran dan Pengajaran Fisika Vol 9 No 1 (2026): Gravity Edu : Jurnal Pembelajaran dan Pengajaran Fisika
Publisher : Universitas Nggusuwaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33627/ge.v9i1.4386

Abstract

In this paper, the modified solutions of Einstein's theory of f(R) gravity using the gravity approach have been re-examined. The f(R) modified theory of gravity is obtained by generalizing the gravitational Lagrangian in the Einstein-Hilbert action. By considering the special case of R=R0 ​, a spherically symmetric static vacuum solution for a black hole of mass m is obtained, which is referred to as the modified Schwarzschild solution. The results indicate that this modified Schwarzschild metric solution has a form dependent on the curvature constant R0​ and the mass parameter m. This solution describes the geometric structure of a non-rotating and uncharged massive object within the framework of f(R) gravity theory
Kemampuan Pemecahan Masalah Fisika melalui Pembelajaran Berbasis Proyek Terintegrasi Ethnophysics: Sebuah Studi Pendahuluan Sri Wahyu Widyaningsih; Dedi Kuswandi; Punaji Setyosari; Saida Ulfa; Irfan Yusuf
Gravity Edu : Jurnal Pembelajaran dan Pengajaran Fisika Vol 9 No 1 (2026): Gravity Edu : Jurnal Pembelajaran dan Pengajaran Fisika
Publisher : Universitas Nggusuwaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33627/ge.v9i1.4387

Abstract

This study aims to analyze students' physics problem-solving skills through project-based learning integrated with ethnophysics. The research employed a quantitative, quasi-experimental design with a one-group pretest–posttest. The participants consisted of 52 eleventh-grade science students at SMAN 2 Manokwari. The instrument used was a physics problem-solving skills test. Data were analyzed using descriptive statistics and a paired-samples t-test. The results showed that students' initial problem-solving skills were in the very low category. After implementing an ethnophysics-integrated project-based learning approach, changes in students' abilities were observed, as indicated by shifts in the distribution of ability levels. The paired-samples t-test results showed a p-value of 0.000 (< 0.05), indicating a significant difference between pretest and posttest scores. Thus, an ethnophysics-integrated project-based learning approach has the potential to support the development of students' physics problem-solving skills and to serve as a contextual and innovative alternative to learning
Integrasi Artificial Intelligence Dan Computational Thinking untuk Problem Solving Dalam Pembelajaran Fisika Siti Nurul Hidayah
Gravity Edu : Jurnal Pembelajaran dan Pengajaran Fisika Vol 9 No 1 (2026): Gravity Edu : Jurnal Pembelajaran dan Pengajaran Fisika
Publisher : Universitas Nggusuwaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33627/ge.v9i1.4500

Abstract

This study aims to analyze research trends, integration models, and the contribution of Artificial Intelligence (AI) and Computational Thinking (CT) to problem-solving skills in physics learning. The study employed a systematic literature review (SLR) approach by adapting the PRISMA 2020 guidelines. The review process consisted of identification, screening, eligibility assessment, and inclusion of articles obtained from various scientific databases. A total of 30 articles published between 2019 and 2026 that met the inclusion criteria were analyzed using content analysis and thematic synthesis. The findings indicate that computational thinking is the most dominant research focus, while the application of artificial intelligence in education has expanded through adaptive learning media, intelligent tutoring systems, educational chatbots, and interactive digital platforms. The synthesis reveals that artificial intelligence provides adaptive and interactive learning environments, whereas computational thinking supports learners in developing decomposition, pattern recognition, abstraction, and algorithm design skills that facilitate problem-solving processes. Although studies specifically integrating artificial intelligence and computational thinking in physics education remain limited, the reviewed literature highlights their significant potential to enhance students’ problem-solving abilities. This study implies that the integration of artificial intelligence and computational thinking can serve as an alternative instructional strategy in physics education to support the development of twenty-first-century skills.
Model Numerik Transportasi Polutan 2-D di Teluk Balikpapan Menggunakan Skema Beda Hingga Dufort-Frankel Muliady Faisal
Gravity Edu : Jurnal Pembelajaran dan Pengajaran Fisika Vol 9 No 1 (2026): Gravity Edu : Jurnal Pembelajaran dan Pengajaran Fisika
Publisher : Universitas Nggusuwaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33627/ge.v9i1.4505

Abstract

Pollutant transport in coastal waters, such as Balikpapan Bay, is a complex phenomenon influenced by advection and diffusion mechanisms. Mathematical modeling using the two-dimensional (2-D) advection-diffusion equation is a primary approach; however, analytical solutions are very limited, necessitating accurate and stable numerical methods. This study aims to implement an explicit finite difference method using the Dufort-Frankel scheme to solve the 2-D advection-diffusion equation for modeling pollutant dispersion in Balikpapan Bay. The Dufort-Frankel scheme was chosen because it offers better numerical stability compared to conventional explicit schemes such as Forward-Time Central-Space (FTCS) and does not require matrix inversion like implicit schemes. Simulations were conducted on a two-dimensional square domain of size 1×1 unit with a 51×51 grid, using a centered Gaussian distribution as the initial condition and homogeneous Dirichlet (zero) boundary conditions on all domain edges. The physical parameters used were advection velocities vₓ = 0.1 m/s, vᵧ = 0.05 m/s, and diffusion coefficient D = 0.01 m²/s, with a time step Δt = 0.001 seconds over a total simulation time of 0.05 seconds (50 iterations). The simulation results show that the pollutant spreads progressively from the initial distribution center throughout the domain, with the dominant direction toward the northeast following the advection velocity vector. The maximum pollutant concentration decreases exponentially over time, while the center of mass moves away from the initial point. No numerical oscillations or instability were observed during the simulation period. The Dufort-Frankel scheme proves to be effective, numerically stable, and computationally efficient for modeling pollutant transport in tropical open waters such as Balikpapan Bay