Jurnal Mekintek : Jurnal Mekanikal, Energi, Industri, Dan Teknologi http://ejournal.isha.or.id/index.php/Mekintek <p><strong>Jurnal Mekintek : Jurnal Mekanikal, Energi, Industri, Dan Teknologi</strong> [p.ISSN <a href="http://u.lipi.go.id/1270486577" target="_blank" rel="noopener">2086-7026</a>] is a scientific journal that aims to participate in developing the scientific field of Mechanical, Energy, Industrial And Technology, contains the results of research and theoretical study from lecturers, researchers and industry practitioners. Jurnal Mekintek : Jurnal Mekanikal, Energi, Industri, Dan Teknologi is administered by the IHSA Institute. Jurnal Mekintek : Jurnal Mekanikal, Energi, Industri, Dan Teknologi published twice a year, in April and October. Editors receive scientific articles or papers containing the results of research, literature review, or review activity that is closely related to the field of Mechanical, Energy, Industrial And Technology.</p> IHSA Institute en-US Jurnal Mekintek : Jurnal Mekanikal, Energi, Industri, Dan Teknologi 2086-7026 Optimizing Tile Selection: Integrating Feasibility Evaluation in a Decision Support System using Analytical Hierarchy Process http://ejournal.isha.or.id/index.php/Mekintek/article/view/266 <table width="586"> <tbody> <tr> <td width="380"> <p>Tile selection in construction and design projects necessitates a holistic evaluation encompassing aesthetic, functional, and practical feasibility aspects. This research investigates and presents a Decision Support System (DSS) integrating the Analytical Hierarchy Process (AHP) with an innovative incorporation of feasibility evaluation for comprehensive tile selection. The research undertakes a systematic exploration of criteria paramount in tile selection, identifying durability, cost, aesthetics, and feasibility considerations as pivotal facets. The AHP methodology forms the backbone of the developed DSS, quantifying stakeholders' preferences, and weighing criteria to facilitate structured decision-making. A distinctive feature of the developed DSS lies in the seamless integration of feasibility evaluation. The system evaluates tiles not solely based on aesthetic appeal or functional attributes but encompasses practical aspects such as installation ease, maintenance requirements, and sustainability considerations. The effectiveness and efficiency of the DSS are highlighted through empirical application, showcasing its ability to streamline decision-making processes. The developed DSS emerges as a transformative tool, advocating for structured, informed, and sustainable decision-making in tile selection processes. Its potential impact spans industries, elevating standards and influencing best practices in decision-making across construction and design domains.</p> </td> </tr> </tbody> </table> Edward Joyce Hsinchun Chen Copyright (c) 2023 Edward Joyce, Hsinchun Chen https://creativecommons.org/licenses/by-nc/4.0 2023-12-30 2023-12-30 14 2 60 70 Precision Pediatric Neurology: Leveraging Artificial Neural Networks for Accurate Diagnosis of Neurological Disorders in Children http://ejournal.isha.or.id/index.php/Mekintek/article/view/264 <table width="586"> <tbody> <tr> <td width="380"> <p>This research delves into the development and implications of an expert system leveraging artificial neural networks (ANNs) for diagnosing neurological disorders in pediatric patients. By amalgamating the intricacies of pediatric neurology with cutting-edge AI technology, this study endeavors to enhance diagnostic accuracy, facilitate timely interventions, and personalize treatment strategies for children grappling with neurological conditions. The research elucidates the architectural framework, data processing methodologies, and training techniques employed in constructing the expert system. The integration of diverse neurological data sources, including EEG readings, MRI scans, and patient histories, underpins the system's capability to discern patterns and generate accurate diagnoses. Ethical considerations loom prominently throughout this exploration, emphasizing the paramount importance of patient data privacy, informed consent, transparency in AI decision-making, and the collaborative role of AI alongside healthcare providers. The study culminates in unveiling the practical implications of implementing such an expert system in real clinical settings. Usability, reliability, regulatory compliance, and the intricate dynamics of human-AI interaction in healthcare emerge as critical pillars in the successful integration of AI-driven diagnostic tools.</p> </td> </tr> </tbody> </table> Gita Kirani Adiratna Chintya Hastanti Copyright (c) 2023 Gita Kirani, Adiratna, Chintya Hastanti https://creativecommons.org/licenses/by-nc/4.0 2023-12-30 2023-12-30 14 2 43 51 Integrative Assessment of Depression Levels in Final Semester Students: A Quantitative-qualitative Approach for Enhanced Mental Health Evaluation and Academic Support http://ejournal.isha.or.id/index.php/Mekintek/article/view/267 <table width="586"> <tbody> <tr> <td width="380"> <p>This research endeavors to assess depression levels among final semester students, employing a comprehensive approach that amalgamates quantitative scores from standardized psychological assessments with qualitative insights garnered through structured interviews. The study aims to provide a nuanced evaluation framework that captures the multifaceted nature of mental health during this critical phase of academic life. Utilizing a weighted sum model, this investigation synthesizes quantitative symptomatology scores obtained from standardized assessments, normalized to a scale of 0 to 1, with qualitative insights rated on a scale of 1 to 10. Equal weightage (0.5 each) is assigned to both dimensions to facilitate a balanced evaluation. Data from three hypothetical final semester students illustrate the implementation of this approach, yielding overall depression levels reflective of the combined quantitative and qualitative assessments. The outcomes highlight the significance of this combined assessment approach in delineating depression levels. The research emphasizes the intricate interplay between quantitative symptomatology and individual narratives, showcasing the importance of contextual nuances in mental health evaluations. These findings signal a pathway for academic institutions to develop tailored interventions, fostering supportive environments that prioritize mental well-being alongside academic success.</p> </td> </tr> </tbody> </table> Paul Grievson Jessen Weinberger Copyright (c) 2023 Paul Grievson, Jessen Weinberger https://creativecommons.org/licenses/by-nc/4.0 2023-12-30 2023-12-30 14 2 71 79 Exploring Vibration Analysis in Open Impeller Centrifugal Pumps: A Comparative Study between Simulation Modeling and Experimental Measurements http://ejournal.isha.or.id/index.php/Mekintek/article/view/2023-12-30 <p>This research investigates open impeller centrifugal pump vibration analysis through a comprehensive examination of simulated predictions and empirical measurements. The study aims to assess the correlation between simulated models and experimental data, exploring the sensitivity of pump vibrations to operational parameters and elucidating the strengths and limitations of both approaches. Utilizing a validated simulation model, the research closely compares predicted vibration characteristics with empirical measurements obtained from controlled experiments. The analysis reveals a strong correlation between simulated and measured data, validating the simulation's predictive accuracy in replicating the pump's vibration behavior. Despite minor discrepancies, primarily at higher operational speeds, the overall alignment reaffirms the simulation's credibility. The study highlights the pump's sensitivity to operational parameters, emphasizing the influence of flow rates, material properties, and rotational speeds on vibration levels. This sensitivity underscores the significance of meticulous parameter optimization for mitigating vibrations and enhancing pump efficiency. While simulations excel in predictive capabilities, experiments provide validation and realism, yet both possess inherent constraints. This research underscores the implications for engineering advancements, predictive maintenance strategies, and identifies avenues for further research. Leveraging the validated simulation model offers prospects for tailored designs, proactive maintenance interventions, and enhanced operational safety in industrial settings reliant on pump systems.</p> Wilson Janoyan Wang Hansen Copyright (c) 2023 Wilson Janoyan, Wang Hansen https://creativecommons.org/licenses/by-nc/4.0 2024-01-19 2024-01-19 14 2 52 59 Enhancing Earthquake Disaster Identification Through Probabilistic Seismic Hazard Analysis and Expert Systems http://ejournal.isha.or.id/index.php/Mekintek/article/view/268 <table width="586"> <tbody> <tr> <td width="19"> <p>&nbsp;</p> </td> <td width="380"> <p>This research endeavors to revolutionize earthquake disaster identification and mitigation through the creation of an advanced expert system grounded in Probabilistic Seismic Hazard Analysis (PSHA) methodologies. Leveraging a comprehensive amalgamation of sophisticated algorithms, seismic data, and expert knowledge, this study aims to enhance the precision, accuracy, and timeliness of seismic hazard assessments. The research commences with an in-depth exploration of earthquake disasters, highlighting their profound societal impact, infrastructural vulnerabilities, and the imperative for proactive disaster management strategies. The introduction of the expert system forms the crux of this research, delineating its architecture, key components, and the integration of PSHA methodologies. This system harnesses seismicity rate models, fault rupture models, ground motion prediction models, and probabilistic combination models within a cohesive framework, facilitating comprehensive seismic hazard assessments. The research outlines the primary objective: to design and develop an expert system that harnesses PSHA to identify potential earthquake disasters with heightened accuracy and reliability. The methodology section details the algorithms, models, and computational techniques employed within the expert system, elucidating their collective role in estimating seismic hazard probabilities. The outcomes of this research encompass identified potential earthquake disaster scenarios, characterized by seismic hazard probabilities, ground shaking intensities, and vulnerability assessments. These findings offer actionable insights for policymakers, urban planners, emergency responders, and communities, fostering informed decision-making and resilience-building initiatives.</p> </td> </tr> </tbody> </table> Felix Hayden Eric Eugene Copyright (c) 2023 Felix Hayden, Eric Eugene https://creativecommons.org/licenses/by-nc/4.0 2023-12-30 2023-12-30 14 2 80 90