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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 36 Documents
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Enhancing Hydrogen Production Efficiency in Water Electrolysis through Polycarbonate Integration from CD-R Waste Matthews Romagnoli; Boiral Lymberopoulos Sevastya; Vanechka Valery
Vertex Vol. 13 No. 1 (2023): December: Engineering
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/7ds16z37

Abstract

This research explores the integration of polycarbonate derived from CD-R (Compact Disc-Recordable) waste into water electrolysis for hydrogen production, aiming to assess its catalytic potential and influence on electrolysis efficiency. The study investigates the effects of waste-derived polycarbonate on hydrogen evolution rates, electrolysis kinetics, and operational parameters. Experimental trials reveal a notable enhancement in hydrogen production rates with the incorporation of waste-derived polycarbonate, suggesting its potential catalytic influence within the electrolysis process. However, observed variations and nonlinear concentration-efficiency relationships underscore the complexities and challenges in achieving consistent performance. Limitations related to material dispersion and compatibility highlight critical areas requiring optimization for practical implementation. The findings offer insights into the nuances of waste-derived material integration in electrochemical systems, emphasizing the need for further research to address challenges and optimize the utilization of waste-derived materials in advancing clean energy technologies.
Advancing Fault Diagnosis in BLDC Motors: Surge Test-Based Diagnostic Equipment for Phase to Ground Faults Stephen Larigaduelle; Jeseph Patrick William
Vertex Vol. 13 No. 1 (2023): December: Engineering
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/p5j7yp39

Abstract

This research introduces a groundbreaking approach to fault diagnosis in Brushless DC (BLDC) motors through the design and validation of specialized diagnostic equipment utilizing surge tests for phase to ground faults. The study focuses on identifying, localizing, and classifying various fault types, including insulation breakdowns, erosion, penetration, and partial grounding within BLDC motors. The research methodology encompasses theoretical frameworks, experimental validations, and comparative analyses with existing diagnostic methods. Surge tests conducted on BLDC motors with induced faults revealed distinct fault signatures, providing precise fault localization and aiding in the establishment of diagnostic criteria and thresholds. The findings showcased the developed equipment's precision, reliability, and automated fault classification capabilities, surpassing the limitations of traditional diagnostic methods. Comparisons with conventional techniques highlighted the advantages of the developed approach, emphasizing its heightened sensitivity, objectivity, and potential for predictive maintenance strategies. The equipment's ability to offer quantifiable fault parameters and establish diagnostic thresholds presents a transformative potential for proactive maintenance, minimizing downtime, and enhancing operational efficiency in BLDC motor-driven systems. The research findings underline the significance of surge tests and specialized diagnostic equipment in revolutionizing fault diagnosis practices for BLDC motors. The implications extend to industry-wide adoption, offering a pathway for enhanced reliability, safety, and operational continuity in various industrial applications.
Analyzing the Impact of Occupational Safety Programs on Work Productivity Using Fault Tree Analysis Alex Christhoper; Dareen Dominic
Vertex Vol. 13 No. 1 (2023): December: Engineering
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/c10g3861

Abstract

This research delves into the intricate relationship between the implementation of an occupational safety program and its influence on work productivity within organizational settings. Employing fault tree analysis as a primary methodology, the study aims to scrutinize the efficacy of safety initiatives and delineate their direct correlation with productivity outcomes. Through a mixed-method approach integrating qualitative and quantitative analyses, the research examines the effectiveness of safety programs in mitigating workplace hazards and fostering a culture of safety. The fault tree analysis dissects causal factors, identifying critical pathways and root causes impacting work productivity. Findings reveal a symbiotic relationship between safety measures and productivity metrics. A well-executed safety program emerges as a catalyst for improved operational efficiency, employee engagement, and quality of work. The implications drawn from this study advocate for a paradigm shift, where safety initiatives are integrated strategically, nurturing an environment where safety and productivity coalesce seamlessly. This research contributes actionable insights for organizations to optimize safety measures, bolster productivity, and foster a culture where safety isn't just a priority but a fundamental value. Ultimately, the findings offer a compass guiding organizations towards a future where safety and productivity converge synergistically, shaping a landscape of sustained success and employee well-being.
Optimizing Anthurium Cultivation: Advancements in Greenhouse Design for Enhanced Plant Quality in Controlled Environments Albertus Bahri; Chairi Kamoga; Kinza Adiguna Pallawarukka
Vertex Vol. 13 No. 1 (2023): December: Engineering
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/sm80xp89

Abstract

Anthuriums, renowned for their captivating blooms and lush foliage, thrive in controlled environments. This research delves into the nuanced intricacies of greenhouse design, aiming to optimize growth conditions and enhance the quality of anthurium plants. Through meticulous experimentation and comparative analysis of various greenhouse configurations, the study explores the impact of structural elements, environmental variables, lighting strategies, and soil management on anthurium growth and flowering patterns. Distinct greenhouse structures, including glass, polycarbonate, and advanced plastics, were scrutinized for their effects on anthurium health and quality. Findings reveal the significance of elements such as insulation, humidity regulation, ventilation, and balanced lighting strategies in fostering superior plant vitality. Polycarbonate or advanced plastic structures emerged as optimal environments, ensuring stable conditions conducive to vibrant foliage, prolific blooms, and overall plant vigor. The research extends beyond plant quality, emphasizing economic viability and sustainability. While aesthetics traditionally favored glass structures, the evidence supporting energy efficiency and reduced maintenance costs of alternative materials underscores their practicality in commercial anthurium cultivation. These insights not only redefine greenhouse design paradigms but also serve as a guiding beacon for future research and industry practices. They pave the way for innovative approaches and sustainable cultivation methods, heralding a new era of precision and excellence in anthurium cultivation within controlled greenhouse environments.
Optimizing Wind Energy Generation: Wind Speed Forecasting Using Elman Recurrent Neural Networks for Enhanced Power Generation in Turbines Anthony Brandon; Richrad Xavier; Cley Valentine Ludwig
Vertex Vol. 13 No. 1 (2023): December: Engineering
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/zgnvvy88

Abstract

This research delves into the realm of wind energy by exploring the accuracy of wind speed forecasting using the Elman Recurrent Neural Network (RNN) and its direct influence on the power generation of wind turbines. Leveraging historical wind speed data and employing the Elman RNN, this study demonstrates the model's precision in forecasting wind speeds, capturing temporal dependencies, and elucidating their impact on electricity output. Correlating these forecasts with actual power generation records, the research establishes a profound relationship, showcasing how even minor variations in predicted wind speeds significantly influence the amount of electricity produced by wind turbines. The study's findings underscore the critical role of accurate wind speed predictions in optimizing wind farm operations, enhancing energy capture efficiency, and contributing to grid stability. Furthermore, the research sets the stage for practical applications in renewable energy planning and policy-making, offering insights that shape the future trajectory of wind energy utilization. The research concludes by proposing avenues for further refinement in predictive models, real-time integration strategies, and long-term forecasting, guiding the path towards a sustainable and resilient energy landscape.
Optimizing Evacuation Routes During Volcanic Eruptions: A Comparative Analysis of Pathfinding Algorithms around Mount Sinabung Erikson Sinukaban; Franky Sotar Sitohang
Vertex Vol. 13 No. 2 (2024): June: Nuclear
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/scdp7k30

Abstract

This research explores the optimization of evacuation routes amid volcanic eruptions around Mount Sinabung, employing sophisticated pathfinding algorithms the Bellman Ford and Floyd Warshall algorithms. Leveraging diverse datasets encompassing geographical, demographic, and historical information, the study aims to identify optimal evacuation paths considering factors such as terrain conditions, population distribution, and real-time adaptability. The study's methodology involves the integration of geospatial data, historical eruption records, and infrastructure details into structured graph representations, enabling algorithmic computations to determine efficient evacuation routes. Comparative analyses of the Bellman Ford and Floyd Warshall algorithms highlight their strengths, limitations, and applicability in dynamic volcanic scenarios, offering nuanced insights into their performance. The findings reveal optimized evacuation routes that prioritize safety, efficiency, and inclusivity, catering to diverse demographic needs. Additionally, future research directions outlined for refining pathfinding algorithms stress the importance of interdisciplinary collaboration, technological advancements, and community-centric approaches in enhancing disaster preparedness and response strategies. This research contributes to the evolving landscape of disaster management by offering evidence-based insights, actionable recommendations, and a roadmap for policymakers, emergency responders, and local authorities.
Analysis of Picohydro Power Plant Design on Water Flow and its Utilization Gv Rian Simare-mare; Bintra Rotua Simbolon
Vertex Vol. 13 No. 2 (2024): June: Nuclear
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/zhkrss73

Abstract

Picohydro power plants represent a promising solution for decentralized energy generation in remote and underserved regions, leveraging the natural energy potential of small water flows. This research investigates the design principles, efficiency considerations, and socio-economic impacts of picohydro systems to assess their viability and potential contributions to sustainable development. The study begins with a comprehensive review of existing literature to establish foundational knowledge on picohydro technology and its applications. It then proceeds with empirical analyses, including case studies and field surveys, to gather firsthand data on system performance, water flow dynamics, and community perceptions. Computational simulations further optimize design parameters, such as turbine selection and system configuration, to maximize energy extraction efficiency under varying operational conditions. Key findings highlight the critical role of tailored engineering solutions in enhancing picohydro system performance and reliability. Socio-economic analyses underscore the transformative impact of picohydro installations on improving energy access, supporting local livelihoods, and stimulating economic growth in rural areas. Environmental assessments emphasize the importance of eco-friendly design practices to minimize ecological impacts and ensure sustainable operation. 
Performance Analysis of Insulation Materials in Earthquake Resistant Buildings Fabrio Situmorang; Rifanro Situmorang
Vertex Vol. 13 No. 2 (2024): June: Nuclear
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/w79fz846

Abstract

This research investigates the performance of insulation materials in enhancing the seismic resilience of buildings against earthquake-induced forces. The study focuses on evaluating various insulation materials including fiberglass, mineral wool, and foam boards (EPS and XPS) through rigorous experimental testing under simulated seismic conditions. Findings reveal significant differences in the seismic response of insulation materials based on their damping capacities, stiffness characteristics, and resilience post-seismic event. Mineral wool demonstrates superior energy dissipation properties, effectively reducing structural vibrations and enhancing building stability. Conversely, certain foam board insulations exhibit high compressive strength, maintaining structural integrity and controlling deformations under dynamic loading conditions. The study's results align with theoretical expectations in earthquake engineering, validating the importance of material properties in enhancing building performance under seismic hazards. The implications of this research extend to informing building codes, standards, and design practices aimed at promoting sustainable and resilient urban infrastructure in earthquake-prone regions.
Analysis of the Impact of Paving Block Material Variations on Urban Traffic Flow, Safety, and Sustainability Rivaldi Miwa; Aswinda Aswinda
Vertex Vol. 13 No. 2 (2024): June: Nuclear
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/bfmnfy19

Abstract

This study investigates the impact of varying paving block materials on traffic flow, safety, durability, and environmental sustainability in urban settings. By analyzing data from multiple field studies, laboratory experiments, and performance models, we compared traditional materials such as asphalt and concrete with innovative options like porous asphalt, permeable pavers, and recycled composites. Our findings reveal that smoother materials, including asphalt and certain concrete types, enhance traffic flow by reducing rolling resistance, while textured surfaces offer superior skid resistance, thereby improving safety. Concrete demonstrated notable durability and lower long-term maintenance costs compared to asphalt, while sustainable materials like recycled composites and permeable pavers exhibited reduced carbon footprints and enhanced stormwater management capabilities. The implications of this research suggest that informed material selection can significantly improve urban traffic efficiency, safety, and sustainability, providing a roadmap for urban planners and policymakers aiming to develop resilient and environmentally friendly infrastructure.
Analysis of the Effect of Pretreatment of Empty Palm Oil Bunches (TKKS) on Biogas Production David Manuel; Nasihin Rahman
Vertex Vol. 13 No. 2 (2024): June: Nuclear
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/0zwrjp26

Abstract

This study investigates the effect of different pretreatment methods mechanical, chemical, and biological on biogas yield and quality from TKKS. Mechanical pretreatment involves shredding and grinding TKKS to increase surface area and enhance enzymatic accessibility, facilitating microbial degradation of cellulose and hemicellulose. Chemical pretreatment employs acid hydrolysis to disrupt lignocellulosic bonds, releasing fermentable sugars for improved substrate availability in anaerobic digestion. Biological pretreatment utilizes enzymatic or microbial processes to enhance biomass deconstruction and accelerate methane production. Experimental results demonstrate that all pretreatment methods enhance biogas production compared to untreated TKKS. Mechanical pretreatment yields significant improvements in biogas yield and methane content, owing to enhanced substrate accessibility. Chemical pretreatment shows comparable efficacy, albeit with considerations for optimal acid concentration and microbial inhibition. Biological pretreatment exhibits superior methane production rates, underscoring its potential in maximizing biogas recovery from TKKS. The implications of these findings extend to sustainability benefits, including reduced greenhouse gas emissions and enhanced waste management practices within the palm oil industry. Techno-economic feasibility and scalability considerations highlight mechanical and biological pretreatment methods as viable options for industrial-scale biogas production from TKKS.

Page 3 of 4 | Total Record : 36

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