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All Journal Electrician : Jurnal Rekayasa dan Teknologi Elektro Jurnal Fisika
Putra, Damianus Dinata
Unknown Affiliation
Control & Systems Engineering Electrical & Electronics Engineering Engineering Physics

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Simulasi Performa Mekanik Jarum Mikro Berbahan Tembaga Menggunakan Perangkat Lunak ANSYS Maharsi, Retno; Rohmah, Aidah; Widyawasih, Tata; Putra, Damianus Dinata; Milesa, Sabrina; Nugroho, Doni Bowo; Mustaqim, Amrina
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 19 No. 3 (2025)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v19n3.2858

Abstract

Microneedles are a minimally invasive transdermal technology that has been widely explored in biomedical applications. Copper (Cu) is a promising material for microneedles due to its favorable mechanical properties and inherent antimicrobial effects. However, numerical studies on the structural performance of copper microneedles remain limited. This study aims to evaluate the mechanical response of solid copper microneedles using finite element analysis (FEA) in ANSYS Workbench. A 3D conical microneedle model with a height of 1000 µm was subjected to external pressures ranging from 400 to 1000 MPa. Four key parameters—total deformation, equivalent stress, maximum principal stress, and structural error—were assessed under two mesh densities (coarse and fine). Simulation results indicate that the fine mesh yields more accurate and stable stress and deformation distributions compared to the coarse mesh. Additionally, the fine mesh better captures peak stress concentrations, which are critical for evaluating microstructural failure. These findings underscore the importance of mesh selection in numerical simulations and provide a foundation for the preliminary design of copper-based microneedles for medical applications.
The Future Direction of Radiology: The Role of Artificial Intelligence and Augmented Reality in Medical Visualization Putra, Damianus Dinata; Nisa, Dila Fadilatu; Affan Alfarabi; Dirgayussa, I Gde Eka; Filano, Raffli
Jurnal Fisika Vol. 15 No. 2 (2025): Jurnal Fisika 15 (2) 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jf.v15i2.23310

Abstract

The rapid advancement of digital technologies has significantly influenced the field of medical imaging, particularly through the integration of Artificial Intelligence (AI) and Augmented Reality (AR). These technologies offer transformative potential in improving diagnostic accuracy, enhancing surgical planning, and addressing the limitations of traditional radiological methods. This study aims to evaluate the roles and effectiveness of AI and AR in radiology by analyzing their applications in medical diagnosis and surgical visualization, with a focus on increasing diagnostic speed, precision, and accessibility, especially in resource-limited settings. A systematic literature review was conducted by examining 45 peer-reviewed articles published between 2017 and 2025, selected based on relevance, innovation, and applicability. Thematic analysis revealed that AI—especially models using convolutional neural networks—has demonstrated high accuracy in detecting lung disease, breast cancer, and brain tumors. Meanwhile, AR has shown potential in enhancing spatial understanding and accuracy in surgical procedures. Despite these benefits, several challenges were identified, including integration difficulties with existing hospital systems, algorithmic bias, regulatory constraints, and high costs. In conclusion, the integration of AI and AR represents a promising direction for the future of radiology. However, further research is needed to develop cost-effective systems, ensure ethical and inclusive AI training, and establish standardized protocols for implementation. This study provides a foundational overview for healthcare stakeholders aiming to adopt these technologies in pursuit of more equitable and efficient medical imaging practices.
Co-Authors Affan Alfarabi Amrina Mustaqim Dirgayussa, I Gde Eka Doni Bowo Nugroho Filano, Raffli Maharsi, Retno Milesa, Sabrina Nisa, Dila Fadilatu Rohmah, Aidah Widyawasih, Tata