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Performance Enhancement of Solar PV Panels Using Splash Fill Cooling under Tropical Conditions
No full textThis study examines the effectiveness of a splash fill cooling system in reducing the temperature of solar photovoltaic (PV) modules and enhancing their electrical performance under tropical conditions. Two identical 50 Wp PV modules were tested in parallel, with one equipped with the splash fill cooling system and the other serving as a reference without cooling. The cooling system was controlled by an Arduino Uno using threshold-based logic, which activated a water pump when the panel temperature exceeded 40°C. Real-time monitoring of temperature, voltage, and current was conducted over seven consecutive days (July 1–7, 2025). Results showed that splash fill cooling reduced panel temperature by an average of 4–5°C compared to the reference module. This reduction led to an increase in output current (2.7–3.3%) and power (2.7–4.3%), while voltage improvement remained modest at around 0.9%. Regression analysis revealed a strong negative correlation (R² > 0.85) between temperature and power output, confirming temperature as a dominant factor in PV efficiency. The findings highlight splash fill cooling as a simple, cost-effective, and water-efficient solution for improving PV performance in tropical climates, offering practical implications for small-scale and off-grid solar applications
The Impact of IT Leadership on Organizational Change Management, IT Business Alignment, and IT Business Value: A Study of Food Processing Manufacturing Companies in East Java in 2025
No full textIT-Business Alignment and IT-Business Value are vital for the effective implementation of information technology, especially in large-scale food processing manufacturing. Misalignment between IT and business strategies can have long-term negative effects. IT Leadership, particularly from the Chief Information Officer (CIO), plays a decisive role in achieving alignment, delivering business value, and managing organizational change. This study examines the rel Faculty of Social and Political Sciences, Yudharta University Pasuruanationships among four variables: IT Leadership, Organizational Change Management, IT-Business Alignment, and IT-Business Value
This study employs the Structural Equation Modeling (SEM), method based on Partial Least Squares (PLS) using SmartPLS software to analyze the relationships among latent variables. This method was chosen for its ability to simultaneously assess measurement and structural models and its suitability for medium-sized samples with non-normal data distribution.The population of this study consists of 377 food processing manufacturing companies large scale industry in East Java, with a sample size of 194 respondents. The sampling technique employed was purposive sampling from the total population of 377 companies, covering five Regional Coordination Agency (Bakorwil) areas: Madiun, Bojonegoro, Malang, Pamekasan, and Jember. The findings of this study indicate significant relationships among the variables as follows: 1) IT Leadership has a significant effect on Organizational Change Management. 2) IT Leadership has a significant effect on IT-Business Alignment. 3) Organizational Change Management has a significant effect on IT-Business Alignment. 4) Organizational Change Management has a significant effect on IT-Business Value. 5) IT-Business Alignment has a significant effect on IT-Business Value.
This study found that IT leadership drives organizational change management and IT-business alignment, which in turn enhances IT business value through efficiency, innovation, and the competitiveness of food processing manufacturing companies in East Java. The novelty of this study lies in its integrated examination of the influence of IT Leadership, Organizational Change Management, IT-Business Alignment, and IT-Business Value in the food processing manufacturing industry across five Bakorwil regions in East Java, a topic rarely addressed previously, thus providing contextual insights for IT strategy in the sector
Geometric Modeling of a Mobile Vegetable-Growing Settlement’s Land Plots
No full textThe article involves the development of a mobile vegetable-growing settlement’s conception, designed to comprehensively address a range of economic, social and environmental issues. The article relates to sustainable agricultural development. It is to address the issues of creating an adaptable environment in agricultural fields for the effective use of precision agriculture in crop production. The aim of the paper is to develop the concept of a mobile vegetable-growing settlement, designed to make more efficient use of the precision farming systems in a new context by creating an adaptable agricultural field’s environment. The concept was developed using geometric modeling based on a systems analysis of the situation. The result is a mobile and scalable land lot allocation system. Such a field distribution system creates an adaptable environment for more efficient use of precision agriculture systems, in both formats: traditional and modern crop production
Efficient Power Management in Hybrid Electric Vehicles for Sustainable Transportation
No full textThis study presents a simulation-based investigation into efficient power management strategies for hybrid electric vehicles (HEVs) featuring regenerative braking systems (RBS), with a focus on their contribution to the United Nations Sustainable Development Goals (SDGs). Regenerative braking allows for the recovery of kinetic energy during deceleration by converting mechanical energy into electrical energy, which is subsequently stored in the vehicle’s battery system. This not only improves overall energy efficiency but also significantly reduces fuel consumption, carbon emissions, and brake system wear. To achieve maximum energy recovery without compromising safety, the RBS must function within minimal braking distances while ensuring smooth integration with conventional braking mechanisms. Through extensive simulations, this study evaluates a range of control strategies that coordinate regenerative and traditional power systems to enhance overall vehicle performance and energy efficiency. The results highlight the potential of intelligent energy management systems to improve the sustainability and economic viability of HEVs. These findings contribute directly to SDG7 (Affordable and Clean Energy) by promoting more efficient energy use and reducing reliance on fossil fuels. Additionally, the implementation of regenerative braking supports SDG13 (Climate Action) by lowering greenhouse gas emissions and advancing clean mobility solution
‘S-C-O-R-E’ Approach to Theoretical Roots of Green Sukuk
No full textPlagued by the effects of global warming and amid alarming pollution concerns, the integration of eco-centric sustainability into financial realms has become the need of the hour. The constant pursuit of sustainable development has paved the way for a debt instrument called Green Sukuk, which is based on the Shariah principles of Islam. The integration of Conceptualization, Sustainability, Religion, Economics, and Obstacles is vital for Green Sukuk to prosper and proliferate. The objective of the paper is to unveil the theoretical underpinnings of the five facets- Sustainability (S), Conceptualization (C), Obstacles (O), Religion (R), and Economic (E) represented by the ‘S-C-O-R-E’ approach to Green Sukuk, which reflects the multitude of dimensions that constitute the fulcrum machinery of this contemporary socio- economic concept. The research methodology adopted a conceptual framework analysis supported by grounded theory coding logic, applied to the data-mined facets of ‘S-C-O-R-E’ mentioned above. With a 360-degree approach to Green Sukuk, this conceptual paper is a trailblazer for advocates of eco-centrism, sustainability strategists, critics of non-renewable energy sources, finance specialists, green marketers, and economists alike
Feasibility Study and Simulation of Wind Energy Integration at PDEU Campus
No full textThis study presents a comprehensive assessment of wind energy potential at the Pandit Deendayal Energy University (PDEU) campus by integrating wind resource analysis, turbine performance evaluation, and hybrid system simulation. Historical wind speed data at 10 m height were extrapolated to 20 m hub height using power law and logarithmic profiles to account for surface roughness. Estimated wind power densities ranged from 51.6 W/m² (2020) to 65.9 W/m² (2021), with seasonal peaks during summer and monsoon. The Archimedes AWM 1500D turbine, suitable for moderate wind regimes with a cut-in speed of 3 m/s and rated power of 1 kW, was selected. Applying the turbine's power curve to site-specific wind frequency distributions yielded annual average outputs of 32.6-41.2 W, translating to capacity factors of 5-6%. While insufficient to meet full demand, the turbine can provide supplementary power to campus energy need
Adaptive Data-Centric Artificial Intelligence for Robust Decision-Making in Dynamic Environments
No full textArtificial intelligence systems deployed in real-world environments often experience performance degradation due to dynamic and non-stationary data distributions. Existing approaches predominantly adopt model-centric optimization strategies, assuming static data conditions and relying on frequent retraining to address performance decay. However, such strategies are computationally expensive and operationally impractical in continuous deployment settings. This study addresses the research gap in adaptive data-centric artificial intelligence by proposing an automated framework that prioritizes continuous data adaptation rather than repeated model modification. The proposed framework integrates automated data profiling, concept drift detection, and adaptive data refinement mechanisms to maintain decision-making robustness under evolving data conditions. The methodology evaluates the framework across multiple real-world datasets characterized by temporal variation, noise, and class imbalance, simulating realistic deployment scenarios. Performance is compared against conventional static data pipelines using identical model architectures to isolate the impact of data-centric adaptation. Experimental results demonstrate that the adaptive data-centric framework consistently outperforms static pipelines in terms of predictive accuracy, decision stability, and generalization consistency. In particular, the framework achieves sustained accuracy improvements following detected drift events and significantly reduces performance volatility over time. Moreover, these gains are obtained with substantially lower computational overhead compared to retraining-based strategies. The goal of this research is to establish adaptive data-centric optimization as a scalable and practical paradigm for long-term AI system reliability. The findings provide empirical evidence that intelligent data adaptation can effectively mitigate concept drift and enhance operational resilience in dynamic decision-making environment
Modeling And Energy Analysis of An Educational Building by Autodesk Insight and Green Building Studio
No full textBuildings consume substantial energy throughout their life cycle, contributing significantly to global warming and environmental degradation. To address this challenge, early-stage energy performance assessment is critical. This study applies a BIM-based energy modeling methodology to predict and analyze the energy performance of a multi-storied educational (library) building located in Gulshan-2, Dhaka, Bangladesh, with a total floor area of approximately 8,830 m². The research methodology integrates Autodesk Revit 2021 for building modeling and Autodesk Insight, a cloud-based energy analysis tool, to evaluate electricity, fuel, and water consumption at the conceptual design stage. The results indicate a total Energy Use Intensity (EUI) of 94.8 kWh/m²/year and a mean annual energy cost of 7.06 USD/m²/year. Detailed parametric analysis reveals that HVAC systems (18.03 kWh/m²/year), plug load efficiency (38.21 kWh/m²/year), and lighting efficiency (38.57 kWh/m²/year) are the dominant contributors to overall energy consumption. Envelope-related parameters such as window-to-wall ratio, shading, glazing, wall construction, and roof construction exhibit comparatively lower but measurable impacts, with orientation-specific variations across the north, south, east, and west facades. The significance of this study lies in demonstrating the effectiveness of BIM-based energy analysis for early-stage decision-making in tropical climates. The findings provide quantitative insights into key energy drivers and highlight priority areas for optimization, enabling designers and policymakers to implement cost-effective and climate-responsive energy strategies. This approach supports sustainable educational building design in rapidly urbanizing contexts such as Banglades
Crawler Crane Failure Cause Analysis Using Fishbone Diagram, Pareto Principle, and Failure Mode Effect Analysis: A Comprehensive Approach to Minimize Downtime and Improve Operational Reliability
No full textCrawler cranes are critical heavy equipment in the construction industry, but they often experience failures that cause downtime and increased costs. This article comprehensively analyses crawler crane failures using three main methods: Fishbone Diagram, Pareto Principle, and Failure Mode and Effect Analysis (FMEA). Failure data for the past two years (January 2022 – September 2024) is analyzed to identify root causes and determine repair priorities. A Fishbone Diagram is used to identify the main causes of failure, which are grouped into four categories: Mechanical, Electrical, Environmental, and Human Error. From this analysis, it is found that mechanical failure is the most dominant cause. This analysis found that mechanical failure is the most dominant cause, mechanical failures account for most failures (60%), followed by electrical failures (33%), with failures in the gearbox and engine overheating being the most significant causes. Furthermore, FMEA evaluates potential failure modes, determines their impacts, and sets mitigation priorities based on the Risk Priority Number (RPN). The results of this study provide a strategic approach to minimize downtime by focusing maintenance efforts on the root causes of failure. This article also offers a new contribution by combining three comprehensive analysis methods not systematically applied to crawler crane maintenance. This research is expected to help improve operational reliability and reduce repair costs in the construction industry
Information Usefulness and Workplace Cohesion: A Conceptual Framework
No full textThis study researched the relationship between information usefulness and workplace cohesion in organizations. Information uniqueness when it is not properly established in the workplace especially when data is not distinct and not easily duplicated. Research objectives focused on ascertaining the role of dimensions such as information distinctiveness, rarity, and suitability in advancing outcomes of 3 workplace cohesion such as assignment cohesion, social cohesion, and collaboration. In information usefulness in workplace cohesion rarity when organizations are not likely to be rare, it can cause negative experiences such as conflicts, political infighting, and uncooperative team members. Organizational culture not properly influenced might lead to insignificant decision-making. This research also examined the control of organizational culture on the correlation among the variables. The paper discussed the role of information usefulness – specifying its meaning and implications for institutions. Focus was also placed on the individual aspect of workplace cohesion. It was thereafter concluded that information usefulness – based on related features such as information uniqueness, rarity, and appropriateness, drives the extent of workplace cohesion and contributes substantially to outcomes of task cohesion, social cohesion, and collaboration. This correlation is moreover inclined and inured by the scenery or outline of customs modified and applied by the organization. It was also recommended that considerations of applicability and context be emphasized in the setting of information and its use in the organization