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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) 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 West Science Interdisciplinary Studies West Science Social and Humanities Studies The Eastasouth Journal of Information System and Computer Science Science Information System and Technology West Science Nature and Technology Journal of Innovative and Creativity Journal of Artificial Intelligence and Development Marsialapari: Jurnal Pengabdian Kepada Masyarakat Journal of Engineering and Science Application Jurnal Ekonomi, Manajemen, Akuntansi Journal of Moeslim Research Technik Research of Scientia Naturalis Jurnal Sipakatau Indonesian Journal of Enterprise Architecture ZAHRA (JOURNAL OF HEALTH AND MEDICAL RESEARCH) Indonesian Journal of Education (INJOE) Jurnal Ilmu Pendidikan dan Kearifan Lokal (JIPKL) Jurnal Ekonomi dan Bisnis (Jebi) Journal of World Future Medicine, Health and Nursing
Arnes Yuli Vandika
Universitas Bandar Lampung
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Blockchain Based Software Development for Digital Identity Management Systems Ethan Tan; Sofia Linm; Arnes Yuli Vandika
Journal of Moeslim Research Technik Vol. 1 No. 6 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v1i6.1563

Abstract

The increasing prevalence of digital identities has raised concerns about security, privacy, and data ownership. Traditional identity management systems often lack transparency and are vulnerable to breaches, necessitating more secure alternatives. Blockchain technology offers a decentralized approach that can enhance the security and integrity of digital identity management. This research aims to develop a blockchain-based software solution for digital identity management systems. The study focuses on creating a secure, user-centric platform that allows individuals to control their personal information while ensuring data integrity and privacy. A design-based research approach was employed, involving the development of a prototype using Ethereum blockchain technology. The system architecture was designed to facilitate secure identity verification and data storage. User testing was conducted to evaluate usability and effectiveness, with feedback collected through surveys and interviews. The prototype demonstrated significant improvements in security and user control over personal data. Key features included decentralized storage of identity information, smart contracts for verification processes, and enhanced privacy measures. User feedback indicated a high level of satisfaction with the system's usability and perceived security. The research concludes that blockchain technology presents a viable solution for digital identity management, offering enhanced security and user control. The developed software prototype demonstrates the potential for broader applications in various sectors, paving the way for future research to explore scalability and integration with existing identity management frameworks.
Parallel Processing System Optimization in High-Performance Computing for Fluid Simulation Sota Yamamoto; kaito Tanaka; Arnes Yuli Vandika
Journal of Moeslim Research Technik Vol. 1 No. 6 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v1i6.1565

Abstract

The growing complexity of fluid simulations in computational science necessitates the use of high-performance computing (HPC) systems. Efficient processing is critical for handling large datasets and complex algorithms, particularly in fields such as aerospace, meteorology, and biomedical engineering. Existing parallel processing methods often face limitations in scalability and resource utilization. This research aims to optimize parallel processing systems for high-performance computing applications in fluid simulations. The study focuses on enhancing computational efficiency and reducing execution time while maintaining accuracy in simulations. A multi-faceted approach was employed, combining algorithmic improvements with architectural enhancements. The research involved implementing advanced parallelization techniques, such as domain decomposition and load balancing, on a cluster of HPC nodes. Performance metrics were collected to evaluate the impact of these optimizations on simulation speed and resource utilization. The optimized system demonstrated a significant reduction in execution time, achieving up to a 60% improvement compared to baseline performance. Enhanced load balancing techniques resulted in more efficient resource distribution, leading to improved overall system performance. Accuracy of the fluid simulations remained consistent with previous results, validating the effectiveness of the optimizations. The study concludes that optimizing parallel processing systems significantly enhances the efficiency of fluid simulations in HPC environments. The findings provide valuable insights for researchers and practitioners seeking to improve computational performance in complex simulations. Future work should explore further optimizations and the integration of emerging technologies to continue advancing the capabilities of fluid simulation in high-performance computing
Application of Model Predictive Control (MPC) in Industrial Automation Robotic Systems Bilal Aslam; Usman Tariq; Arnes Yuli Vandika
Journal of Moeslim Research Technik Vol. 1 No. 6 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v1i6.1566

Abstract

The industrial automation sector is rapidly evolving, with a growing need for advanced control strategies to enhance the efficiency and precision of robotic systems. Model Predictive Control (MPC) has emerged as a promising approach due to its ability to handle multivariable control problems and constraints effectively. However, its application in robotic automation remains underexplored. This research aims to implement Model Predictive Control in industrial robotic systems to improve performance, adaptability, and operational efficiency. The study focuses on evaluating the effectiveness of MPC in real-time robotic applications, specifically in tasks requiring high precision and dynamic response. A simulation-based approach was employed, using a robotic arm model as a testbed for implementing MPC. The control algorithm was designed to predict future states of the system based on current measurements and optimize control inputs accordingly. Performance metrics, including tracking error and response time, were evaluated under various operational scenarios. The implementation of MPC resulted in a significant reduction in tracking error and improved response times compared to traditional control methods. The robotic arm demonstrated enhanced adaptability to changes in the environment and task requirements, showcasing the robustness of the MPC approach. The findings indicate that Model Predictive Control is an effective strategy for enhancing the performance of robotic systems in industrial automation. The successful application of MPC not only improves operational efficiency but also provides a framework for future research into more complex robotic applications. This study contributes to the growing body of knowledge on advanced control methods in automation.  
The Role of Geospatial Engineering in Handling Natural Disasters and Humanitarian Crises Thandar Htwe; Soe Thu Zaw; Arnes Yuli Vandika
Journal of Moeslim Research Technik Vol. 1 No. 6 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v1i6.1567

Abstract

The background of this research is the increasing frequency and intensity of natural disasters and humanitarian crises that require rapid and effective handling. Geospatial techniques have emerged as an important tool in disaster management, offering solutions for real-time mapping, monitoring, and analysis of emergency situations. The purpose of this research is to evaluate the role and effectiveness of geospatial techniques in handling natural disasters and humanitarian crises, and to identify areas that need improvement. The research method used involves analysis of current literature and case studies of various natural disaster incidents and humanitarian crises around the world. Data is collected from reliable sources such as scientific journals, government reports, and non-governmental organizations. This approach allows researchers to evaluate the practical application of geospatial techniques and identify key factors that influence their success. The results of the study show that geospatial techniques play a vital role in various stages of disaster management, from mitigation, preparedness, response, to recovery. Risk mapping, environmental change monitoring, and spatial analysis have been shown to improve the efficiency and effectiveness of emergency response operations. However, the study also identified challenges such as limited data access, the need for specialized training, and adequate technological infrastructure.The study’s conclusion confirms that geospatial techniques are a crucial component in managing natural disasters and humanitarian crises. Proper implementation can save lives and significantly reduce negative impacts. Therefore, investment in geospatial technologies, human resource training, and infrastructure development should be a priority to improve emergency response capacity in the future.
Analisis Minat Nasabah dalam Penggunaan Mobile Banking Ahmad Nur Budi Utama; Rezki Fitriani; Dian Firdaus; Zaenal Arief; Arnes Yuli Vandika
EKOMA : Jurnal Ekonomi, Manajemen, Akuntansi Vol. 4 No. 1: November 2024
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/ekoma.v4i1.6221

Abstract

Penelitian ini menganalisis faktor-faktor yang memengaruhi minat nasabah dalam penggunaan mobile banking, termasuk persepsi kemudahan, persepsi risiko, kepercayaan, dan pengalaman pengguna. Metode penelitian yang digunakan adalah survei dengan sampel 50 nasabah bank konvensional. Hasil analisis menunjukkan bahwa persepsi kemudahan, kepercayaan, dan pengalaman pengguna memiliki pengaruh positif yang signifikan terhadap minat nasabah, sementara persepsi risiko berpengaruh negatif. Persepsi kemudahan mendorong nasabah untuk mencoba dan menggunakan aplikasi mobile banking, sedangkan kepercayaan yang tinggi terhadap bank meningkatkan rasa aman nasabah dalam menggunakan layanan digital. Sebaliknya, persepsi risiko yang terkait dengan keamanan data pribadi menurunkan minat nasabah untuk menggunakan mobile banking. Pengalaman pengguna yang baik, mencakup antarmuka yang mudah dan navigasi yang responsif, juga terbukti meningkatkan keterlibatan nasabah. Temuan ini menunjukkan bahwa bank perlu meningkatkan keamanan, memperbaiki pengalaman pengguna, dan membangun kepercayaan nasabah untuk meningkatkan adopsi mobile banking.
Inorganic Nanoparticles for Drug Delivery Systems: Design and Challenges Dadang Muhammad Hasyim; Miku Fujita; Arnes Yuli Vandika
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 Kiran Iqbal; Omar Ahmad; Arnes Yuli Vandika
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 Le Hoang Nam; Nam Peng; Arnes Yuli Vandika
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 Nguyen Minh Tu; Tran Thi Lan; Arnes Yuli Vandika
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 Ana Uzla Batubara; Zainab Ali; Arnes Yuli Vandika
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 Abdul Muid Fabanyo Abdul Rahim Abdullah Abdullah Achmad Choerudin Ade Kurniawan Ade Kurniawan Ade Suhara Adnan, Ahmad Zaelani Afen Prana Utama Sembiring Afrizal Afrizal Agus Mukholid Ahmad Cucus Ahmad Nur Budi Utama Ahmad Zaelani Adnan Ainun Jariyah Aldo, Novian Aldo, Novian Alim Hardiansyah Alim Hardiansyah Ambarwati, Rini Amelia S. Sarungallo Ana Uzla Batubara Andi Arfah Andi Naila Quin Azisah Aliasyahbana Andi Naila Quin Azisah Alisyahbana andrew shandy utama, andrew shandy Anggeraeni, Anggeraeni Anggit Wasesa Praja Anggun Nugroho Anggun Nugroho, Anggun Annisa Paramaswary Aslam Ansar Ansar Archristhea Amahoru, Archristhea Ardiana Batubara Ardiyanto Saleh Modjo Ari Kurniawan Saputra ARIEF BUDI PRATOMO Arief Yanto Rukmana Arif Mudi Priyatno Aris Triwiyatno Aris Triwiyatno Arnadi Arnadi Arnadi Arnadi Asfahani Asfahani Aslam, Annisa Paramaswary Aslan Aslan Aslan Aslan Astutik, Wahyuni Sri Bambang Prihantoro Nugroho Bambang Prihantoro Nugroho Bambang Prihantoro Nugroho Bambang Winardi Bambang Winardi Baso Intang Sappaile Basri, T Saiful Basri, T. Saiful Bekti Setiadi Bekti Utomo Belinda Arbitya Dewi Benny Novico Zani Bilal Aslam Bilondato, Nikma Chevy Herli Sumerli Dadang Muhammad Hasyim Debi Herlina Meilani Debi Herlina Meilani Devi Rahmah Sope Dewantara, Rizki Dewantara, Rizki Dewi Endah Fajariana, Dewi Endah Dian Resha Agustina Dina Ika Wahyuningsih Dina Rasmita 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 Eko Sudarmanto Endrianto , Endrixs Endrixs Endrianto Ethan Tan Fadhilah, St. Annisa Nurul Fahrijal, Rival Faiz Muqorrir Kaaffah Farida Arinie Soelistianto Faridah Faridah Faridah Faridah Faridah Fenty Ariani Feriyanti, Yang Gusti Fildansyah, Rully Fitriani.K Fitriani.K Frans Sudirjo Frans Sudirjo Gilang Pranajasakti Guntur Arie Wibowo Guntur Arie Wibowo Gusma Afriani Guterres, Juvinal Ximenes Hakim, Nur Hamzah, Abd Natsir Hamzali, Said Handy Widjaya Hanifah Nurul Muthmainah Hannan Fadlurahman Hannan Fadlurahman Harsya, Rabith Madah Khulaili Hazmi, Muhammad Helta Anggia Hendri Khuan Heri Aji Setiawan Heri Aji Setiawan Hermansyah Hermansyah Hermansyah Hermansyah Hery Widijanto Hidayat, Deddy Hildawati Hildawati Hildawati, Hildawati Husain Nurisman I Putu Dody Suarnatha I Wayan Adi Pratama I Wayan Karang Utama Ikhwanto Asri Ikhwanto Asri Ilham Ilham Ilham Ilham Jackson Yumame Jamila Kasim Jasmin Jasmin Jasmin, Jasmin Jatmiko Wahyu Nugroho Jauhari, Burhanuddin Johannes Triestanto Joko Santoso Joko Santoso Judijanto, Loso K, Hairuddin Kaito Tanaka Kasim, Jamila Kasmudin Mustapa Khrisna Agung Cendekiawan Khuan, Hendri Kiran Iqbal Kirana, Sukma Ayu Candra Latifah Latifah Le Hoang Nam Legito Legito Lela Nurlela Lesmana, Tera Lestari Wuryanti Lola Yustrisia Lorensius Lonik Loso Judijanto Loso Judijanto Luckhy Natalia Anastasye Lotte Lucky Mahesa Yahya M. Ammar Muhtadi M. Anwar Aini M.Khalid Fredy Saputra Made Susilawati Made Susilawati Madepan Mulia Manalu, Margareta Margareta Manalu Markus Wibowo Marwah Lubis Mayasari, Nanny Mei Rani Amalia Merakati, Indah Miku Fujita Mislan Sihite, Mislan Moeis, Dikwan Mohammad Arifin Noor Much Deiniatur Muh Arnesta Arnanda Muh Arnesta Arnanda Muh Reza Abdillah Muh Reza Abdillah Muhammad Bitrayoga Muhammad Hazmi MUHAMMAD LUTFI Muhammad Mustofa Muhammad Syafri Muhammad Syafri, Muhammad Muhammad Syarif Hartawan Muhammadong Muhammadong Muhtadi, M. Ammar Munazar Munazar Munazar Munazar Muslimin B Nam Peng Nampira, Ardi Azhar Nanny Mayasari Natasya Yunita Sugiastuti Nguyen Minh Tu Ni Desak Made Santi Diwyarthi Ningsih, Yunia Noning Verawati Novianty Djafri Novycha Auliafendri Nukman Nukman Nukman Nunung Suryana Jamin Nur Afiani, Rulan Nur Afifah Harahap Nur Asmah Nur Hakim Nuridayanti Nuridayanti Nurisman, Husain Nurohman, Dwi Aris Nurul Aisyiyah Puspitarini Omar Ahmad Opan Arifudin Palupiningtyas, Dyah Pannyiwi, Rahmat Pasaribu, Daniel Peluw, Zulfikar Pertiwi, Triani Prata Pranajasakti, Gilang Pratama, I Wayan Adi Priyana, Yana Qudratullah, Fyzria Radiah Ilham Rahman Rahmat Pannyiwi Rahmat, Rezqiqah Aulia Rahmi Setiawati Rasmita, Dina Rezki Fitriani Rezqiqah Aulia Rahmat Rifky , Sehan Rima Ruktiari Rina Destiana Rini Ambarwati Rival Fahrijal Rizki Andita Noviar Rizki Wahyudi Rosmawati Harahap Rosmawati Harahap Rosmiati Rosmiati Rovanita Rama Rovanita Rama Rulan Nur Afiani Rully Fildansyah Ruri Koesliandana Ruri Koesliandana Ruri Koesliandana Ruri Koesliandana Ruri Koesliandana Safarudin, Muhamad Sigid Sagena, Unggul Said Hamzali Samsul Arifin Samsul Arifin Santi Diwyarthi, Ni Desak Made Saputra, M. Khalid Fredy Sari, Nidia Wulan Sarungallo, Amelia S. Satria Eureka Nurseskasatmata Satya Arisena Hendrawan Sawaluddin Siregar Sayed Achmady Sehan Rifky Setiadi, Bekti Setiawan, Zunan setiawati, rahmi Setyorini, Dhiana Shazia Akhtar Silvia Ekasari SILVIA EKASARI Simarangkir, Manase Sahat H Soe Thu Zaw Soelistianto, Farida Arinie Sofia Linm Sota Yamamoto Souisa, Wendy Sri Ariyanti Sri Widiastuti Sudarmo Sudarmo sudarmo sudarmo Suhara, Ade Suharni Suharni Suharni Sumerli A., Chevy Herli Supriyanti Supriyanti Supriyanti Supriyanti Susanti Susanti Syafril Barus Syafril Barus Syam Gunawan Syam Gunawan Syawal Aprian Syawal Aprian Tahir, Usman Tanwir Tanwir Tera Lesmana Thalib, Kiki Uniatri Thandar Htwe Thea Marisca Marbun B.N Tia Tanjung Titiek Rachmawati Toalib, Ramli Tran Thi Lan Tri Budi Rahayu Tri Budi Rahayu, Tri Budi Triyugo Winarko Triyugo Winarko, Triyugo Ummu Kalsum Unggul Sagena Upeka Mendis Usman Tahir Usman Tariq Utama Sembiring, Afen Prana Utomo, Bekti Vann Sok Vicheka Rith Wahidyanti Rahayu Hastutiningtyas Wahyuni Anwar Wahyuni Sri Astutik Wardhani, Diky Wifasari, Septi Wijaya, Hamid Wiwin Susanty Wuryanti, Lestari Yana Priyana Yang Xiang Yenny Sima Yoga Dwi Goesty D.S Yulis, Dian Meiliani Yusuf Yusuf Zaenal Arief Zainab Ali Zani, Benny Novico Zhang Li Zohaib Hassan Sain Zulkifli Zulkifli Zulkifli Zulkifli Zunan Setiawan