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All Journal JOURNAL OF NATURAL SCIENCES AND MATHEMATICS RESEARCH JURNAL ILMIAH PENDIDIKAN FISIKA AL BIRUNI Journal of Natural Sciences and Mathematics Research Berkala Ilmiah Pendidikan Fisika Media Penelitian Pendidikan : Jurnal Penelitian dalam Bidang Pendidikan dan Pengajaran JITEK (Jurnal Ilmiah Teknosains) Jurnal Penelitian Pembelajaran Fisika E-Dimas: Jurnal Pengabdian kepada Masyarakat JIPF (Jurnal Ilmu Pendidikan Fisika) JPF (Jurnal Pendidikan Fisika) Universitas Islam Negeri Alauddin Makassar Journal of Dedicators Community AMALIAH: JURNAL PENGABDIAN KEPADA MASYARAKAT International Journal of Applied Sciences and Smart Technologies Physics Communication Journal of Banua Science Education Jurnal Inovasi Pembelajaran di Sekolah Jurnal Natural Lontar Physics Today JIPI (Jurnal IPA dan Pembelajaran IPA) Jurnal Fisika Physics Communication
Joko Saefan
Pendidikan Fisika, Universitas PGRI Semarang
Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Neuroscience Physics Public Health Social Sciences Veterinary Other

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Journal : physics communication

 1 
Expansion of the Double Pendulum System and Its Decomposition Model: Systematic Literature Review Anisa Zulfa Nadia; Joko Siswanto; Joko Saefan
Physics Communication Vol. 9 No. 2 (2025): August 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/pc.v9i2.21721

Abstract

Double pendulum is a mechanical system that exhibits complex dynamic behavior, often used to study nonlinear dynamics and chaos. Along with the development of research, this system has been extended with the addition of several new constraints. This research aims to conduct a Systematic Literature Review (SLR) related to the extension of the double pendulum system and the formulation of the relevant equations of motion. The article search was conducted systematically, resulting in 27 documents that met the inclusion criteria. The results of the analysis show that the extension of the gantry pendulum crane system with a payload is the main focus in this study. In addition, the most frequently used decomposition model is a mathematical model with a Lagrangian approach. These findings provide deep insights for further development of mathematical models as well as their applications in the fields of robotics, system control, and dynamic structural analysis.
Comparison of Physics-Informed Neural Networks (PINNs) and Experimental Reality in Fluid Viscosity Dynamics Elgana Septiana; Joko Saefan; Joko Siswanto
Physics Communication Vol. 10 No. 1 (2026): February 2026
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/pc.v10i1.45531

Abstract

Determining fluid viscosity using the conventional falling-sphere method is frequently confronted with challenges related to experimental variability and measurement instrument limitations. As an alternative, Physics-Informed Neural Networks (PINNs) offer a computational approach capable of integrating physical laws into the neural network architecture. This study aims to evaluate the predictive accuracy of the PINNs model regarding the velocity of a falling sphere, as well as to compare it with the analytical solution of Stokes flow and experimental data. Data collection was conducted using a viscometer equipped with five infrared sensors, while the PINNs model was trained by balancing the experimental data loss and the physics loss derived from the equation of motion. The comparative results demonstrate that PINNs generally succeed in modeling the dynamics of the sphere's motion, convergently reaching terminal velocity. Nevertheless, two primary modeling limitations were identified. First, the model experiences an overshoot during the initial phase of motion due to the network's spectral bias effect when responding to drastic velocity changes. Second, the experimental data reveal a persistent velocity deceleration in the final phase that both the analytical and PINNs predictions failed to capture. This empirical anomaly indicates the occurrence of a shift in boundary-layer separation alongside the thixotropic effects of the fluid. In conclusion, PINNs prove to be a promising approach for bridging the gap between computational modeling and experimentation; however, this architecture still requires the inclusion of dynamic parameters to fully accommodate the complexity of fluids under real-world conditions.
Co-Authors Abda Abda Aditya Marianti Affandi Faisal Kurniawan Ani Rusilowati Anisa Zulfa Nadia Armawanto, Fardika Arsini -, Arsini Arsini Arsini Baidillah, Marlin Ramadhan Choirul Huda Choirul Huda Dewi Lestari Dhara Fauziyah Aslam Duwi Nuvitalia Dwi Hidayah Ningsih Elgana Septiana Ema Chintya Permatasari Endang Susilaningsih Ernawati Saptaningrum Faradita, Diah Ayu Hafizh Aji Prakosa Harto Nuroso Ismawati, Eka Yulianda Joko Siswanto Joko Siswanto Joko Siswanto Khanifah Khanifah Khilman Najib Margareta Rahayuningsih Nugroho Edi K Muhammad Farchani Rosyid Muhammad Farchani Rosyid Muhammad Farchani Rosyid, Muhammad Ngurah Ayu Nyoman Murniati Ninik Pujianti Nur Ifanis Sa'adah Nur Khoiri Nur Khoiri Nur Khoiri Nur Khoiri Nur Widya Rini Pagunanto Pagunanto Permatasari, Ema Chintya Prakosa, Hafizh Aji Pratondo Busono Putri, Dini Santika Rini, Nur Widya Ristianti, Sinta Riyanto Riyanto Saputra, Rangga Apriliyanto Sigit Ristanto Sigit Ristanto Siti Patonah Siti Wahyuni SULISTIA, SULISTIA Susilawati . Ummi Kaltsum Utami, Alifa Citra Wahyuni, Tika Wawan Kurniawan Yulinda Dwi Cahhyani