International Journal of Global Optimization and Its Application
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    73 research outputs found

    Lane Widening for Maintenance Sustainable Road Performance in Archipelago: A Bibliometric Analysis

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    This bibliometric study analyzes global research on the impact of lane widening for maintaining road performance in archipelagic regions sustainably, covering the period from 2000 to 2023. The research was collected using the Publish or Perish application and processed in the Research Information Systems (RIS) format through the VOSviewer application. The data set comprises 1,000 studies, including 551 research journals, 287 books, 114 conference components, 38 articles, 3 datasets, 3 monographs, and 4 reports. The study identifies "safety road" and "traffic data" as the most prevalent keywords, with various other related keyword networks also emerging. The analysis reveals a growing trend in research on lane widening and road performance across different global regions, indicating increasing interest in sustainable road management strategies, particularly in archipelagic and island contexts. The study highlights how the field has evolved over the last two decades by mapping the connections between key terms and studies. The findings suggest that lane widening to maintain road safety and performance is a significant area of focus in road infrastructure research. Furthermore, the study emphasizes the potential for these findings to contribute to developing future sustainable transportation solutions. The study provides a comprehensive literature source and highlights opportunities for further studies in sustainable road infrastructure development, especially within the unique challenges of archipelagic environments

    Development of Conceptual Framework of User Decision Making on Purchasing Running Shoes through Ergo-Aesthetic Value on Sight Behavioral Assessment

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    A few scholars have highlighted the association between ergonomics and aesthetics with behavior. For this study, it should be noted that deviations in ergonomics and aesthetics are inevitable as human behavior and cultural experience change constantly. Nevertheless, applying ergonomics and aesthetics through behavior evaluation inside a design process can significantly improve the created item\u27s visual appearance and comfort level. Moreover, culture and behavior will affect the product\u27s visual assessment and the design\u27s final quality. Therefore, the user\u27s sight behavior is an important factor in judging the ergonomics and aesthetics of the running shoe selection. According to this paper, user decision-making will influence the purchase of suitable running shoes. Therefore, due to the COVID-19 pandemic, consumers face difficulty purchasing suitable running shoes in stores, malls, or shoe outlets. This dilemma might influence a consumer to make their decision making to choose suitable running shoes in a very short time. The uncommon ground between ergonomics and aesthetics may become an unpleasant medium for designers to use in terms of ergonomic and aesthetic values in each design process. This dilemma may result in ineffective design process flow, increasing the cost of developing a certain product

    Exploring the Impact of Packaging Design on Consumer Purchase Behavior for Northeastern Cereal Agricultural Products

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    This study endeavors to unravel the intricate relationship between packaging design and consumer behavior in the context of Northeastern cereal agricultural products. Focusing on the vibrant region of Song Yuan, Jilin, China, the study employs a multi-method approach encompassing fieldwork observations, content analysis, and consumer surveys. The investigation unfolds in three key dimensions: evaluating current packaging designs, understanding consumer perspectives, and gauging the acceptance of alternative designs. The findings reveal four distinct models of packaging design, each resonating differently with consumers. Traditional motifs evoke a sense of authenticity, while modern graphics enhance visual appeal and information communication. Consistency with brand identity instills trust, and informative packaging aids in informed purchase decisions. Additionally, the introduction of alternative designs presents an exciting prospect, especially among younger demographics, signifying a potential shift in consumer preferences. This research contributes a nuanced understanding of the pivotal role packaging design plays in shaping consumer choices for Northeastern cereal agricultural products. It provides actionable insights for businesses seeking to align their packaging strategies with consumer preferences, fostering brand loyalty and enhancing market competitiveness. This study serves as a valuable resource for practitioners, academics, and stakeholders invested in the dynamic interplay between design and consumer behavior

    The Impact of Environmental Performance, Corporate Governance, and Financial Performance on the Disclosure of Carbon Emissions

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    One of the primary contributors to global climate change that may threaten human survival is carbon emissions. As a result, businesses must consider how their actions including carbon emissions affect the environment. Carbon emissions are one of the main causes of global climate change, which can endanger human survival. Therefore, companies need to pay attention to the impact of their activities on the environment, including carbon emissions. Disclosure of carbon emissions by companies is becoming increasingly important because it can affect the company\u27s image in the eyes of the public and investors. The study aims to analyze the impact of environmental performance, corporate governance, and financial performance on the disclosure of carbon emissions by manufacturing companies listed on the Indonesian Stock Exchange for the period 2020–2022. This research uses purposive sampling. The research data obtained came from the Indonesian Stock Exchange and the company\u27s website, and data analysis techniques were used using regression analysis. The results of this study showed that environmental performance and financial performance affected carbon disclosure, while corporate governance variables did not affect carbon emissions

    Assessing the Passenger Satisfaction of Fast Ship Services at Ulee Lheue Port - Balohan Route in Aceh Province: A Customer Satisfaction Index (CSI) Analysis

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    The increasing number of passengers travelling from Ulee Lheue Port in Banda Aceh to Balohan Port in Sabang needs to be accompanied by an increase in the performance of the quality of ship services so that passengers feel satisfied. This study evaluated passenger satisfaction levels with fast ship services on the Ulee Lheue Port – Balohan Port route in Aceh Province. This study uses a quantitative approach, and data was collected through questionnaires and analysed using descriptive techniques and the Customer Satisfaction Index (CSI) method. Findings revealed a satisfactory CSI value of 72.85, indicating positive feedback from passengers. Areas for improvement were identified, including facilities for disabled individuals, onboard safety measures, and amenities for breastfeeding mothers. Recommendations were provided to enhance service quality in these areas, ultimately elevating overall passenger satisfaction. The study highlights the importance of addressing these key areas to enhance the passenger experience further and ensure a high level of service quality. By focusing on these aspects, ship managers can work towards improving customer satisfaction and loyalty, ultimately leading to a more prosperous and competitive fast ship service on the Ulee Lheue Port – Balohan Port route in Aceh Province

    Developing the Fragility Curves of Confined Masonry Structure in Bener Meriah Regency, Aceh Province, Indonesia

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    The earthquake in Bener Meriah Regency on July 2, 2013 with 6.1 Mw tectonic caused physical damage and construction losses to 1,778 typical confined masonry residential buildings. One of the assessments of damage caused by the earthquake was the development of a fragility curve that can be formed by empirical methods based on the Generalized Linear Model (GLM) procedure with log it, pro bit and complementary log-log link functions. This study used data from 9 sub-regencies to identify light, medium and heavy damage levels. Data processing uses ArcGIS and MATLAB software based on data obtained from secondary data survey results and USGS Earthquakes. One of the resulting seismic fragility curves, the pro bit link model, gives a high probability at low and medium PGA intensities for light, medium and heavy damage. The logit link model provides a high probability of high PGA intensities for light, medium, and heavy damage. On the basis of the goodness of fit measurement results, the link pro bit model has the smallest standardized residual error value, which shows the best model of the method because probit has values of 20.16%, 21.12%, and 21.83% in DS1, DS2, and DS3 compared to the link logit and complementary clog-log models

    Optimization of the Energy Monitoring System for Continuous-Process Industrial Enterprises

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    In the context of growing demand for efficiency, resilience, and sustainability in industrial energy usage, optimizing monitoring systems has become a critical priority. This paper develops and tests a data-driven approach to enhance energy monitoring in continuous-process industries, with a case study of a large-scale water supply enterprise in the Khorezm region of Uzbekistan. The proposed methodology integrates statistical distribution analysis, correlation mapping, and logical process modeling to capture both quantitative relationships and the physical dynamics of operations. Unlike traditional systems that rely on isolated parameters or manual interpretation, the new model embeds process logic into digital platforms, thereby reducing human dependency, minimizing error, and improving response time. The results demonstrate that the modular framework enables more accurate identification of key parameter interdependencies, supports predictive forecasting of energy consumption, and allows for real-time adjustment through ensemble machine learning submodules. In the water supply case, the system successfully differentiated between operational and idle energy usage, optimized pump loads, and provided early detection of anomalies. These improvements translate into enhanced energy efficiency, reduced operational costs, and greater reliability of supply. The study concludes that integrating physical process logic with statistical modeling not only improves monitoring accuracy but also supports the deployment of digital twins and adaptive control systems aligned with Industry 4.0. Policy implications highlight the potential for broader adoption of such models across industrial sectors, particularly in contexts where energy sustainability and infrastructure resilience are national priorities. This approach offers a scalable pathway toward smarter, more sustainable industrial energy management

    Effects of Particle Sizes on Total Catching Content and Antioxidant Activity of Musa Paradisiacal Inflorescence using Supercritical Carbon Dioxide (SFE-CO2) Extraction

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    The inflorescence of Musa paradisiacal or Banana Nipah primarily serves as a staple food crop in Malaysia. It contains various polyphenols, including catching, renowned for its excellent ant oxidative properties. Supercritical carbon dioxide (SFE-CO2) is a green technology that preserves bioactive components while facilitating extraction. This study employed SFE-CO2 to investigate the catching extraction from different size ranges of M. paradisiacal inflorescences at different extraction parameters. The plant matrices (450 - 600 µm, 600 - 850 µm, and 850 µm - 1600μm) were extracted under different temperatures (40°C and 60°C) and pressures (25MPa and 45MPa), with a constant supercritical CO2 fluid and 50% (v/v) ethanol co-solvent flowed at 4 mL/min. Data were analyzed using ANOVA in Minitab Software. The results indicated that the smallest particles (450 - 600 µm) exhibited the highest total oil extraction yield (29.40 ± 7.95%) at 60°C; 45 M Pa, while 850 µm - 1600μm particles had the least (9.54 ± 1.60%) at 40°C; 45MPa. Extraction efficacy of SFE-CO2 at 45MPa; 60°C demonstrated a comparable effect (p > 0.05) to the 10-hour Sox let extraction. Smaller plant matrices exhibited higher catching content at 40°C and 45 M Pa, particularly 81.51 ± 1.11 mg (450 - 600 µm). Increased total catching content correlated with higher DPPH radical scavenging activity. Kinetic modeling revealed that 93% to 95% of the catching extraction from the plant matrix followed a first-order kinetic model. In conclusion, the smallest plant matrix (450 - 600 µm) exhibited the highest catching yield and ant oxidative activity when extracted at 45MPa and 40°C

    Evaluating the Organisational Performance through the BSC-MCDM Framework in Packed Food Products Supply Chain

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    This study aims to identify effective indicators in the performance measurement of Behpakhsh firm using Balanced Scorecard (BSC) as well as weighting and ranking indicators by employing fuzzy analysis network process (FANP) and investigation on network mapping and the relationships between scorecards with fuzzy DEMATEL presenting strategies to improve performance of Behpakhsh firm. This study aims to assess the significance of the four perspectives: financial, customer, internal processes and learning and growth. About 28 indicators were identified, and after screening, 13 indicators were identified as final BSC indicators. After examining the influence of the main factors using the fuzzy DEMATEL technique, the internal processes dimension has the most impact, and customer and learning and, growth and financial dimensions have been ranked as second to fourth priorities. Also, using the fuzzy ANP technique, the weighting and ranking of dimension and performance measures indicators were examined. The dimension of customers has gained first rank, and financial, internal processes, learning, and growth have been ranked second to fourth, respectively

    Integrating Traditional Chinese Embroidery into Modern Clothing Design: A Sustainable Approach

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    The fashion industry increasingly prioritizes sustainability and environmental responsibility while emphasizing cultural heritage conservation. Designers blend style with mindful practices to reduce ecological impacts and preserve traditional craftsmanship. Sustainability is quickly replacing fashion, simply reducing or mitigating the negative environmental impact while focusing on culture. Traditional Chinese embroidery, noted for its long history and intricate craft, allows us to combine the areas of cultural and environmental sustainability through contemporary fashion design. The current research paper explores the area of traditional Chinese embroidery in contemporary garment design, which would allow for cultural and ecological sustainability. Content analysis of contemporary fashion with traditional motifs is part of the research. The combination of traditional embroidery and modern design serves as a part of the cultural heritage and teaches sustainable practices in fashion

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    International Journal of Global Optimization and Its Application
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