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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 6 Documents
 1 
Search results for , issue "Vol. 13 No. 2 (2024): June: Nuclear" : 6 Documents clear
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.
Performance Analysis of Wet Gas Flow in Up and Down Transmission Pipelines Herjuna, Silvester Adi Surya; Labriet, Andrieu; Akbar, Bima; Dimara, Johannes; Kaisiepo, Frans
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/apjc7f13

Abstract

This research examines the performance of wet gas flow in up and down transmission pipelines, addressing the critical challenges and dynamics associated with fluid behavior in varying orientations. Through extensive empirical analysis and modeling, the study identifies key factors influencing slugging, liquid accumulation, and flow efficiency. Findings reveal that upward transmission systems are particularly prone to slugging, leading to operational instability and increased energy demands, while downward flow systems benefit from gravitational assistance, resulting in enhanced reliability and reduced maintenance needs. Additionally, effective liquid management strategies and advanced monitoring technologies are essential for mitigating adverse effects and optimizing system performance. The research also addresses gaps in existing literature by providing new insights into flow management and environmental considerations, offering practical recommendations for pipeline design and operation. Ultimately, this study underscores the importance of ongoing research to refine understanding and improve practices in the transport of wet gas, contributing to the development of sustainable energy solutions.

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