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Vertex
Published by Institute of Computer Science
ISSN : 2089385X     EISSN : 28296761     DOI : https://doi.org/10.35335/Vertex
Core Subject : Science, Engineering,
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
Articles published in Vertex include original scientific research results (top priority), new scientific review articles (non-priority), or comments or criticisms on scientific papers published by Vertex. The journal accepts manuscripts or articles in the field of engineering from various academics and researchers both nationally and internationally. The journal is published every June and December (2 times a year). Articles published in Vertex are those that have been reviewed by Peer-Reviewers. The decision to accept a scientific article in this journal is the right of the Board of Editors based on recommendations from the Peer-Reviewers. Since 2011, Vertex only accepts articles derived from original research (top priority), and new scientific review articles (non-priority).
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol. 11 No. 1 (2021): December: Engineering" : 5 Documents clear
Optimization-based decision support system for accurate earthquake epicenter determination Roma Sinta Simbolon; Methodius Tigor
Vertex Vol. 11 No. 1 (2021): December: Engineering
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/hd5are53

Abstract

Accurate determination of earthquake epicenters is vital for effective disaster response and risk mitigation. This research proposes a Decision Support System (DSS) that leverages optimization techniques to enhance earthquake epicenter determination accuracy. The DSS combines seismic data processing, geospatial analysis, and advanced optimization algorithms to pinpoint epicenters with high precision. The study presents a mathematical formulation to minimize the misfit between observed and theoretical travel-time data using optimization algorithms. A numerical example showcases the DSS's effectiveness in accurately localizing seismic events. The research demonstrates that the DSS outperforms traditional methods, providing valuable insights for seismic monitoring agencies and disaster response teams. The DSS offers a promising solution for real-world applications, contributing to community safety and disaster preparedness in seismic-prone regions
Web-Based on-line learning (e-learning) decision support system Firta Sari Panjaitan; Sonya Enjelina Gorat
Vertex Vol. 11 No. 1 (2021): December: Engineering
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/kpwbk147

Abstract

The rapid advancement of technology has revolutionized education, paving the way for innovative learning methods such as E-Learning. However, optimizing the effectiveness of online education poses challenges in data management and decision-making processes. This research investigates the integration of Web-Based Decision Support Systems (DSS) in E-Learning to enhance learning outcomes. The study develops a mathematical formulation that quantifies the impact of DSS by considering student engagement, knowledge retention, and academic achievement. A numerical example is presented to demonstrate the application of the formulation, showcasing the positive influence of the DSS on individual students and the overall cohort. The results emphasize the potential benefits of personalized learning experiences, data-driven insights, and informed decision-making facilitated by the DSS. Nonetheless, the limitations of the study are acknowledged, warranting further research with larger and more diverse samples. Overall, this research contributes to the discourse surrounding the role of Web-Based DSS in shaping the future of online education, empowering educators and learners to unlock the full potential of E-Learning in the digital age
Decision support system for selection of major concentration using fuzzy logic Heo Wang Jee
Vertex Vol. 11 No. 1 (2021): December: Engineering
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/f1j7ys60

Abstract

The choice of major concentration at the tertiary level is an important stage in one's educational development, involving various subjective factors such as interests, abilities, career goals, and subject preferences. To overcome the complexity of this process, we propose the development of a Fuzzy Logic-based Decision Support System (SPK) that can provide recommendations for major concentrations that are more in line with student profiles. In this study, we designed and implemented a DSS model that uses the Fuzzy Logic method to overcome uncertainty and ambiguity in concentration selection. The membership function that has been defined describes the degree of membership in each relevant set. Fuzzy rules are formed based on domain knowledge and historical data, and are applied in the inference process to produce recommendations for major concentrations. Fuzzy Logic in building a Decision Support System that can improve the process of selecting major concentrations
Advancing air navigation engineering for autonomous and sustainable aviation: navigating technological innovation and regulatory frameworks for sustainable flight Zhaoxuan Ma Yang; Feng Chao Jung
Vertex Vol. 11 No. 1 (2021): December: Engineering
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/716k5h38

Abstract

Autonomous flying and sustainability are transforming the aviation business. This study examines how technology, policy, and society affect air navigation engineering for autonomous and sustainable aviation. A thorough literature analysis shows how navigation algorithms, sensor systems, and communication networks enable safe and efficient autonomous operations. To address autonomous flight's specific problems, aviation authorities, stakeholders, and researchers must collaborate on regulatory evolution. To gain public trust, safety, privacy, and ethics must be addressed. These observations suggest integrating technical innovation, regulatory frameworks, and public education. Sustainable aviation techniques emphasize aircraft route optimization and emissions reduction. The research highlights the collaborative efforts needed to negotiate the complicated landscape of autonomous and sustainable aviation, resulting in an efficient, safe, and environmentally responsible sector. This study guides industry stakeholders, politicians, and researchers toward reimagined flight operations and aeronautical advancement as the aviation sector navigates autonomy and sustainability
Autonomous and sustainable air navigation technologies shaping the future of aeronautical engineering Ribeiro Karanjikar Rae; Murashov Sutton Görür; Babiceanu Babiceanu; Sándor Sándor
Vertex Vol. 11 No. 1 (2021): December: Engineering
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/m44pf111

Abstract

Technology, regulation, operations, and environmental awareness are transforming the aviation business. This study examines aeronautical technologies, focusing on paradigm-shifting autonomous and sustainable air navigation. A multidimensional conceptual framework encompassing unmanned aerial vehicles (UAVs), electric and hybrid-electric propulsion, Urban Air Mobility (UAM), sustainable aviation fuels (SAFs), advanced avionics, AI, noise reduction technologies, and collaborative stakeholder engagement emerges from a comprehensive review of existing research. In a numerical route planning scenario, optimal route optimization reduces fuel consumption, emissions, and operational costs while meeting energy restrictions. This shows how mathematics helps solve air navigation's modern problems. A holistic, interdisciplinary strategy is needed to address the numerous, interwoven aspects of autonomous and sustainable air navigation. Technology and regulation must work together to integrate autonomous and sustainable technology. The research shows how air traffic management systems must balance safety, efficiency, and environmental stewardship. Aviation engineers, environmental specialists, regulatory authorities, lawmakers, and industry stakeholders must work together to make skies safer, more accessible, and environmentally friendly. This research helps aviation engineering enter a new era of autonomous and sustainable flight navigation. As the aviation industry moves toward this transformative horizon, it promises improved operational efficiency, environmental sustainability, and societal advancement, ushering in an age of aviation that harmonizes human aspirations with the vast sky

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