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All Journal International Conference on Law, Business and Governance (ICon-LBG) International Conference on Education and Language (ICEL) International Conference on Engineering and Technology Development (ICETD) Jurnal English Education: Jurnal Tadris Bahasa Inggris Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Jurnal Informatika Jurnal Informatika International Multidiciplinary Conference on Social Sciences (IMCoSS) Prosiding Seminar Nasional Darmajaya Jurnal Informasi dan Teknologi International Journal of Health, Economics, and Social Sciences (IJHESS) Jurnal Kolaboratif Sains Journal Of Human And Education (JAHE) Digital Transformation Technology (Digitech) ZAHRA: JOURNAL OF HEALTH AND MEDICAL RESEARCH Jurnal Ilmu Pendidikan dan Kearifan Lokal (JIPKL) Sanskara Hukum dan HAM Innovative: Journal Of Social Science Research Sahabat Sosial: Jurnal Pengabdian Masyarakat West Science Business and Management Jurnal Ekonomi dan Kewirausahaan West Science West Science Interdisciplinary Studies Jurnal ICT : Information and Communication Technologies West Science Accounting and Finance Indonesian Journal of Education (INJOE) Jurnal Ekonomi dan Bisnis West Science Interdisciplinary Studies Indonesian Journal of Enterprise Architecture West Science Social and Humanities Studies The Eastasouth Journal of Information System and Computer Science Journal of World Future Medicine, Health and Nursing Science Information System and Technology West Science Nature and Technology Journal of Innovative and Creativity The Journal of Artificial Intelligence and Development Jurnal Sipakatau Marsialapari: Jurnal Pengabdian Kepada Masyarakat Journal of Engineering and Science Application Jurnal Ekonomi, Manajemen, Akuntansi Journal of Moeslim Research Technik Research of Scientia Naturalis
Arnes Yuli Vandika
Universitas Bandar Lampung
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Journal : Research of Scientia Naturalis

 1 
Inorganic Nanoparticles for Drug Delivery Systems: Design and Challenges Hasyim, Dadang Muhammad; Fujita, Miku; Vandika, Arnes Yuli
Research of Scientia Naturalis Vol. 1 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v1i4.1578

Abstract

Inorganic nanoparticles have gained attention in drug delivery systems due to their unique properties, including high surface area, biocompatibility, and the ability to encapsulate therapeutic agents. These characteristics make them promising candidates for enhancing drug efficacy and targeting. This research aims to explore the design parameters and challenges associated with inorganic nanoparticles in drug delivery applications. The focus is on understanding how modifications in nanoparticle design can optimize performance and address existing limitations. A comprehensive literature review was conducted alongside experimental assessments of various inorganic nanoparticle formulations. Key parameters such as size, surface charge, and drug loading capacity were evaluated to assess their impact on drug delivery efficiency. In vitro studies were performed to analyze drug release profiles and cellular uptake.The findings indicate that specific design modifications significantly influence drug delivery performance. For example, smaller nanoparticles with positive surface charges exhibited enhanced cellular uptake and higher drug loading capacities. However, challenges such as stability, scalability, and regulatory hurdles remain prevalent in the field. Inorganic nanoparticles hold great potential for advancing drug delivery systems, but addressing associated design challenges is crucial. Continued research in this area will facilitate the development of more effective and safer drug delivery solutions, ultimately improving therapeutic outcomes for patients.  
Quantum Computing and Its Implications for Complex System Analysis Iqbal, Kiran; Ahmad, Omar; Vandika, Arnes Yuli
Research of Scientia Naturalis Vol. 1 No. 5 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v1i5.1579

Abstract

Quantum computing has emerged as a transformative technology capable of solving complex problems beyond the reach of classical computing. Its unique properties, such as superposition and entanglement, enable efficient processing of vast datasets, making it especially valuable for analyzing complex systems. This research aims to explore the implications of quantum computing for complex system analysis, particularly in fields such as physics, biology, and finance. The goal is to identify how quantum algorithms can enhance the understanding and modeling of intricate systems. A systematic literature review was conducted, examining recent advancements in quantum algorithms and their applications to complex system analysis. Comparative analyses were performed between classical and quantum computing approaches, focusing on specific case studies to illustrate the advantages of quantum solutions. The findings indicate that quantum computing significantly accelerates certain computations, leading to improved accuracy and efficiency in modeling complex systems. Case studies in quantum simulations of molecular interactions and financial modeling demonstrate substantial performance gains over classical methods. Quantum computing holds great promise for advancing the analysis of complex systems across various disciplines. Continued research and development in this area are essential to fully harness the capabilities of quantum technologies, ultimately leading to breakthroughs in understanding and solving complex problems.
Dielectric Properties of Multiferroics in Next-generation Memory Devices Nam, Le Hoang; Peng, Nam; Vandika, Arnes Yuli
Research of Scientia Naturalis Vol. 1 No. 5 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v1i5.1580

Abstract

The advent of next-generation memory devices necessitates materials that exhibit superior dielectric properties. Multiferroics, materials that exhibit simultaneous ferroelectric and magnetic ordering, have emerged as promising candidates for enhancing memory device performance due to their unique attributes. This study aims to investigate the dielectric properties of various multiferroic materials and their implications for next-generation memory applications. The focus is on understanding how these properties can be optimized to improve device efficiency and functionality. A series of multiferroic samples were synthesized using sol-gel and solid-state methods. Dielectric measurements were conducted over a range of frequencies and temperatures to characterize their dielectric constant, loss tangent, and temperature dependence. Comparative analyses with traditional dielectric materials were performed to evaluate performance. The findings reveal that specific multiferroic materials exhibit significantly enhanced dielectric properties compared to conventional dielectrics. Notable improvements in dielectric constant and reduced loss tangent were observed, indicating potential for better energy storage and lower power consumption in memory devices. The research demonstrates that multiferroics possess advantageous dielectric properties that can be harnessed for next-generation memory devices. Continued exploration of these materials is essential for advancing memory technology and developing more efficient, high-performance devices in the future.
The Application of Artificial Intelligence in Quantum Mechanics: Challenges and Opportunities Tu, Nguyen Minh; Lan, Tran Thi; Vandika, Arnes Yuli
Research of Scientia Naturalis Vol. 1 No. 5 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v1i6.1583

Abstract

The intersection of artificial intelligence (AI) and quantum mechanics represents a frontier of scientific exploration, offering the potential to revolutionize our understanding of quantum systems. Despite the promise, significant challenges remain in effectively integrating AI techniques within quantum mechanics frameworks. This study aims to investigate the applications of AI in quantum mechanics, identifying both the challenges and opportunities presented by this interdisciplinary approach. The focus is on understanding how AI can enhance quantum simulations, optimize computations, and improve experimental designs. A comprehensive literature review was conducted, analyzing recent advancements in AI algorithms applied to quantum mechanics. Case studies were examined to illustrate successful implementations and the limitations encountered. Key metrics for evaluation included computational efficiency, accuracy, and scalability. Findings indicate that AI techniques, particularly machine learning and neural networks, can significantly expedite quantum simulations and enhance predictive accuracy. However, challenges such as data sparsity, interpretability of AI models, and the integration of AI with quantum algorithms were identified as significant barriers to progress. This research highlights the transformative potential of AI in advancing quantum mechanics while acknowledging the inherent challenges. Addressing these challenges will require collaborative efforts across disciplines, paving the way for innovative solutions that leverage AI to deepen our understanding of quantum phenomena and improve technological applications.
Mathematical Physics and the Study of Complex Quantum Systems Batubara, Ana Uzla; Ali, Zainab; Vandika, Arnes Yuli
Research of Scientia Naturalis Vol. 1 No. 6 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v1i6.1585

Abstract

The study of complex quantum systems is a fundamental aspect of modern physics, providing insights into the behavior of matter at microscopic scales. Mathematical physics plays a crucial role in developing the theoretical frameworks necessary for understanding these systems, yet challenges remain in applying these concepts to real-world scenarios. This research aims to investigate the application of mathematical techniques in analyzing complex quantum systems. The focus is on identifying effective mathematical models and methods that can enhance our understanding of quantum phenomena. A comprehensive literature review was conducted, analyzing various mathematical approaches utilized in quantum mechanics, including perturbation theory, group theory, and numerical simulations. Case studies were examined to illustrate the successful application of these methods in real-world quantum systems. Findings indicate that advanced mathematical techniques significantly improve the modeling and analysis of complex quantum systems. The application of perturbation theory and numerical simulations provided deeper insights into system behaviors, while group theory facilitated a better understanding of symmetry properties. This research highlights the indispensable role of mathematical physics in the study of complex quantum systems. By emphasizing the integration of mathematical techniques, the study contributes to the advancement of theoretical physics and offers pathways for future research in quantum mechanics.
Co-Authors - Afrizal Abdul Muid Fabanyo Achmad Choerudin Ade Kurniawan Ade Kurniawan Ade Suhara Adnan, Ahmad Zaelani Afen Prana Utama Sembiring Afrizal Afrizal Agus Mukholid Agustina, Dian Resha Ahmad Cucus Ahmad Nur Budi Utama Ahmad Zaelani Adnan Ainun Jariyah Akhtar, Shazia Aldo, Novian Aldo, Novian Ali, Zainab Alim Hardiansyah Ambarwati, Rini Amelia S. Sarungallo Andi Naila Quin Azisah Aliasyahbana andrew shandy utama, andrew shandy Anggeraeni, Anggeraeni Anggit Wasesa Praja Anggun Nugroho Anggun Nugroho, Anggun Ansar Ansar Anwar, Wahyuni Aprian, Syawal Archristhea Amahoru, Archristhea Ardiana Batubara Ardiyanto Saleh Modjo Arfah, Andi Ari Kurniawan Saputra ARIEF BUDI PRATOMO Arief Yanto Rukmana Arif Mudi Priyatno Arifudin, Opan Aris Triwiyatno Aris Triwiyatno Arnadi Arnadi Asfahani Asfahani Aslam, Annisa Paramaswary Aslam, Bilal Aslan Aslan Astutik, Wahyuni Sri Bambang Prihantoro Nugroho Bambang Winardi Bambang Winardi Baso Intang Sappaile Basri, T Saiful Basri, T. Saiful Batubara, Ana Uzla Bekti Setiadi Bekti Utomo Bilondato, Nikma Chatarina Umbul Wahyuni Chevy Herli Sumerli Dadang Muhammad Hasyim Debi Herlina Meilani Debi Herlina Meilani Deddy Hidayat Devi Rahmah Sope Dewantara, Rizki Dewantara, Rizki Dewi Endah Fajariana, Dewi Endah Dian Resha Agustina Dina Ika Wahyuningsih Dora, Mechi Silvia Dora, Mechi Silvia Dunggio, Abdul Rivai Saleh Dwi Aris Nurohman Effendy, Femmy Eka Imama Novita Sari Eka Imama Novita Sari Eka Imama Novita Sari Eka Imama Novita Sari Eka Imama Novitasari Eko Sudarmanto Endrianto , Endrixs Endrixs Endrianto Fadhilah, St. Annisa Nurul Fahrijal, Rival Faiz Muqorrir Kaaffah Farida Arinie Soelistianto Faridah Faridah Faridah Faridah Fenty Ariani Feriyanti, Yang Gusti Fildansyah, Rully Fitriani.K, Fitriani.K Frans Sudirjo Frans Sudirjo Fujita, Miku Gilang Pranajasakti Guntur Arie Wibowo Gusma Afriani Guterres, Juvinal Ximenes Hakim, Nur Hamzah, Abd Natsir Hamzali, Said Handy Widjaya Hanifah Nurul Muthmainah Hannan Fadlurahman Harsya, Rabith Madah Khulaili Hazmi, Muhammad Helta Anggia Hendri Khuan Heri Aji Setiawan Hermansyah Hermansyah Hery Widijanto Hidayat, Deddy Hildawati Hildawati Hildawati, Hildawati Htwe, Thandar Husain Nurisman I Putu Dody Suarnatha I Wayan Adi Pratama Ikhwanto Asri Ilham Ilham Ilham Ilham Iqbal, Kiran Ismail, Rima Ruktiari Jackson Yumame Jasmin Jasmin Jasmin, Jasmin Jatmiko Wahyu Nugroho Jauhari, Burhanuddin Johannes Triestanto Joko Santoso Joko Santoso Judijanto, Loso K, Hairuddin Kasim, Jamila Kasmudin Mustapa Khrisna Agung Cendekiawan Khuan, Hendri Kirana, Sukma Ayu Candra Lan, Tran Thi Latifah Latifah Legito Lesmana, Tera Lestari Wuryanti Linm, Sofia Lola Yustrisia Loso Judijanto Loso Judijanto Luckhy Natalia Anastasye Lotte Lucky Mahesa Yahya M. 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