Multicore International Journal of Multidisciplinary (MIJM)
A peer-reviewed journal that publishes articles across multiple disciplines including science, engineering, health, social sciences, and humanities.
Marasofi International Media and Publishing (MIMP)
All articles published in this journal are licensed under the terms of the Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0). This license allows others to: Share — copy and redistribute the material in any medium or format Adapt — remix, transform, and build upon the material for any purpose, even commercially As long as appropriate credit is given to the original author(s), a link to the license is provided, and any changes made are indicated. If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original. License URL: https://creativecommons.org/licenses/by-sa/4.0/
Effectiveness Analysis of Cooking Class Learning on Early Childhood Fine Motor Development Based on N-Gain Scores
Fine motor development is an essential aspect of early childhood education because it supports children’s readiness for writing, drawing, and other daily learning activities. However, learning activities in many early childhood education institutions are still dominated by conventional approaches that provide limited opportunities for children to engage in direct and meaningful experiences. This study aimed to analyze the effectiveness of cooking class learning on early childhood fine motor development based on N-Gain scores at RA Baitul Ibadah. The study employed a quantitative approach using a quasi-experimental design involving 40 children aged 5–6 years divided into experimental and control classes. Data were collected through observation sheets, pretest-posttest assessments, and documentation, then analyzed using descriptive statistics, N-Gain analysis, normality tests, homogeneity tests, and independent sample t-tests. The results showed that the experimental class achieved a higher posttest mean score (37.55) compared to the control class (26.75). The average N-Gain score in the experimental class reached 66.35%, while the control class obtained 29.16%. Hypothesis testing indicated a significant difference between both classes with a significance value of 0.000 < 0.05. These findings indicate that cooking class learning effectively improves children’s fine motor development through hands-on learning experiences. Therefore, cooking class activities are recommended as innovative and child-centered learning strategies in early childhood education.
Copyright (c) 2026 Nur Indah Sari (Author) https://creativecommons.org/licenses/by-sa/4.0
The Effect of Personalization Algorithm-Based Dark Patterns on Consumer Decision Distortion: Integration of Business Ethics and Behavioral Economics Perspectives on E-Commerce Platforms
The rapid advancement of artificial intelligence (AI)-driven personalization in e-commerce has introduced algorithm-based dark patterns that subtly manipulate consumer behavior and potentially distort decision-making processes. This study aims to analyze the effect of personalization-based dark patterns on consumer decision distortion by integrating perspectives from behavioral economics and business ethics. A quantitative approach was employed using a scenario-based survey involving 212 active e-commerce users. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to examine both direct and indirect relationships among variables. The results indicate that personalization-based dark patterns have a positive and significant effect on consumer decision distortion. Additionally, cognitive biases, particularly loss aversion and anchoring effect, significantly mediate this relationship. Loss aversion is found to be the more dominant mediating factor, suggesting that consumers are more influenced by the fear of missing out than by reference-based judgments. These findings confirm that digital consumers are not fully rational, as their decisions are shaped by psychological biases exploited through system design. In conclusion, algorithm-based dark patterns significantly contribute to distorted consumer decisions through both direct influence and cognitive mechanisms. This study recommends the implementation of more transparent and ethical interface designs, as well as stronger regulatory frameworks to limit manipulative practices. The findings provide theoretical implications by integrating technological, behavioral, and ethical perspectives into a unified framework, and practical implications for developers and policymakers in promoting responsible and sustainable digital platforms.
Copyright (c) 2026 Zulfikar (Author) https://creativecommons.org/licenses/by-sa/4.0
The Role of Cyber Expertise and Other Types of Examinations in Solving Cybercrime Cases
The rapid development of information and communication technologies has significantly increased both the number and complexity of cybercrime cases. These crimes often involve sophisticated technical processes that exceed the professional competence of investigators, prosecutors, and judges who are primarily trained in legal sciences. As a result, the effectiveness of cybercrime investigations largely depends on the proper use of expert examinations based on specialized technical knowledge. This study aims to analyze the role and significance of cyber expertise in solving cybercrime cases, identify the shortcomings of existing computer-technical (digital forensic) expertise, and justify the need for a more comprehensive and specialized classification of expertise in the field of information and communication technologies. The research employs doctrinal legal analysis, comparative analysis, and a descriptive-analytical method. National legislation of the Republic of Uzbekistan, law enforcement and judicial practice, and foreign experience in the application of cyber and digital forensic expertise were examined, alongside technical aspects of telecommunication networks, information systems, software, cryptography, and communication quality. The findings demonstrate that the prevailing reliance on computer-technical expertise is insufficient to address the multifaceted nature of cybercrimes, which frequently involve telecommunication infrastructure, encryption technologies, software applications, and communication quality issues beyond the traditional scope of digital forensics. The study substantiates the need to introduce specialized types of expertise, including telecommunication network and infrastructure expertise, information systems and computer data expertise, software and application expertise, cryptographic expertise, communication coverage and quality expertise, and cyber forensic auditing. Particular emphasis is placed on cyber forensic auditing as a mechanism for ensuring the admissibility and reliability of digital evidence. The study concludes that the current forensic framework should be expanded and systematized, and recommends developing specialized expert training and updating procedural legislation to enhance the effectiveness of cybercrime investigations.
Copyright (c) 2026 Anorboyev Amiriddin Ulug‘bek o‘g‘li (Author) https://creativecommons.org/licenses/by-sa/4.0
Blue Economy Literacy Framework for Coastal Communities: Integrating Marine Conservation, Maritime Entrepreneurship, and Cultural Heritage
Coastal communities worldwide face unprecedented livelihood threats as 680 million inhabitants experience declining fish stocks, climate change impacts, and economic marginalization despite residing adjacent to valuable marine resources. This research develops a comprehensive Blue Economy Literacy Framework integrating marine conservation education, maritime entrepreneurship training, and cultural heritage preservation to enable sustainable coastal socio-economic development. Through qualitative analysis incorporating perspectives from marine biologists, community development specialists, and coastal education practitioners, this study identifies critical curriculum components, pedagogical approaches, and implementation barriers constraining coastal capacity building initiatives. The framework synthesizes marine biology, social sciences, economics, and educational pedagogy, demonstrating how multidisciplinary literacy programs can simultaneously enhance environmental stewardship, economic opportunity creation, and cultural identity preservation while addressing power asymmetries and gender inequities prevalent in coastal societies. Findings reveal significant gaps in current coastal education approaches, particularly regarding integration of traditional ecological knowledge with scientific marine conservation principles and connection of environmental protection with livelihood generation strategies. The research contributes actionable implementation pathways for coastal stakeholders globally, offering evidence-based strategies for transformative education aligned with SDG 14 (Life Below Water) and SDG 1 (No Poverty), while empowering marginalized coastal populations through knowledge, skills, and agency essential for sustainable coastal futures.
Blue economy literacy, coastal community development, marine conservation education, maritime entrepreneurship, cultural heritage preservation
Copyright (c) 2026 Larsen Barasa, Aditya Rinaldi, Aji Permana, M. Anang Jatmiko, Ikhwanuddin (Author) https://creativecommons.org/licenses/by-sa/4.0
Blockchain-Enhanced Maritime Education Ecosystem: Decentralized Credentialing for Global Seafarer Competency Verification
The global maritime industry faces a critical seafarer shortage of 89,510 officers, exacerbated by fragmented credential verification systems, fraudulent certification practices, and inefficient competency recognition across jurisdictions. This research develops a comprehensive Blockchain-Enhanced Maritime Education Ecosystem integrating decentralized credentialing infrastructure with IoT-enabled simulation training and economic impact assessment of maritime labor market transformation. Through qualitative analysis incorporating perspectives from maritime education experts, certification authority administrators, and shipping company training managers, this study identifies critical requirements for trustless verification systems, interoperability standards, and stakeholder adoption barriers. The framework synthesizes educational technology innovations with maritime training regulatory compliance, demonstrating how blockchain-based credentialing can simultaneously enhance seafarer mobility, reduce certification fraud, and improve competency verification efficiency while addressing cybersecurity concerns and digital divide challenges. Findings reveal significant gaps in current certification systems, particularly regarding cross-jurisdictional recognition mechanisms and real-time competency tracking capabilities. The research contributes actionable implementation pathways for maritime stakeholders globally, offering evidence-based strategies for digital transformation of seafarer credentialing aligned with STCW Convention requirements and SDG 4 (Quality Education), while addressing the urgent workforce development needs essential for maritime industry sustainability and operational safety.
Copyright (c) 2026 Pargaulan Dwikora Simanjuntak, Ikhwanuddin, A. Nurfajri Irwan, Yayu Nopriani Martha, Giovanni Battista Puteri (Author) https://creativecommons.org/licenses/by-sa/4.0
Literature Review: Comparison of Glossy and Matte Lamination on Posters to Enhance Visual Appeal
Posters remain a strategic medium in visual communication due to their ability to attract attention quickly and convey information efficiently in public spaces. Beyond graphic design elements such as layout, typography, and imagery, surface finishing plays a critical role in shaping visual perception, readability, and audience response. Among the most widely used finishing techniques, glossy and matte (doff) lamination exhibit distinct optical, psychological, and functional characteristics that directly influence communication effectiveness. This study aims to comparatively review glossy and matte lamination applied to posters through a narrative literature review approach. Peer-reviewed journal articles, conference proceedings, and authoritative books indexed in reputable databases including Scopus, Web of Science, IEEE Xplore, ScienceDirect, SpringerLink, and Google Scholar were systematically collected. A total of 42 relevant publications published between 2013 and 2023 were selected and thematically synthesized. The review reveals that glossy lamination enhances color vibrancy and contrast through specular reflection, thereby increasing immediate visual attraction, but often introduces glare that compromises readability and visual comfort. In contrast, matte lamination provides superior readability and reduced visual fatigue under diverse lighting conditions, conveying a professional and elegant impression, although with slightly reduced color saturation. The findings highlight that lamination selection is not absolute but context-dependent, influenced by message objectives, target audience characteristics, and installation environment. This review also identifies significant research gaps, particularly in neuro-cognitive audience response measurement, long-term durability under tropical environmental conditions, and cross-cultural perception of surface finishes. Based on these gaps, a structured research roadmap is proposed. The study contributes an evidence-based framework to support designers, printing practitioners, and visual communication scholars in making informed finishing decisions.
Copyright (c) 2026 Nur Aini Rafa Ayu, Dianta Mustofa Kamal (Author) https://creativecommons.org/licenses/by-sa/4.0
The Effect of Corn Husk Waste Addition in Paper Production on Surface Texture and Printability
Indonesia, as an agrarian country with abundant corn production, generates a significant volume of corn husk waste. This study aims to evaluate the effect of corn husk waste addition on the physical characteristics of recycled paper, particularly surface texture and print quality. Corn husk waste was selected due to its high cellulose content and wide availability in Indonesia. The papermaking process involved delignification using NaOH, bleaching with H₂O₂, and blending recycled paper pulp with corn husk fibers. The test results show that corn husk fibers increase paper thickness and tensile strength, while providing a rougher but still functional surface texture. Printing tests indicated that ink absorption remained adequate, although minor spreading was observed in rougher areas. Overall, the resulting paper has potential as an eco-friendly alternative for simple applications such as handicrafts and non-commercial printing.
Copyright (c) 2025 Dianta Mustofa Kamal, Nadiah Tsabitah, Nayla Nazneen (Author) https://creativecommons.org/licenses/by-sa/4.0
Strengths and Weaknesses of MSMEs in the Digital Era: Challenges and Opportunities for Transformation Towards Sustainable Competitiveness
This study aims to analyze the dynamics of Micro, Small, and Medium Enterprises (MSMEs) in responding to the rapid advancement of digital technology. The primary focus is to identify the internal strengths and weaknesses of MSMEs, as well as to evaluate external challenges and opportunities in the digitalization process to achieve long-term competitive advantage. Employing a qualitative approach through literature review and secondary data analysis, the study highlights operational flexibility and product innovation as key strengths of MSMEs. However, limitations in financial access, low levels of digital literacy, and infrastructure gaps remain significant barriers. Globalization and shifting consumer behavior further underscore the urgency for digital adaptation among MSMEs. On the other hand, digitalization presents significant opportunities such as market expansion, increased operational efficiency, and the enhancement of data-driven strategies. This article offers strategic recommendations, including improving digital literacy, gradual technological integration, and fostering collaboration within the digital ecosystem, to sustainably strengthen MSME competitiveness.
Copyright (c) 2025 Dwi Yanti Octaviani, Mila Kamelia Putri, Mashudi (Author) https://creativecommons.org/licenses/by-sa/4.0
Preventing And Mitigating Session Hijacking Using Zero Trust Architecture
Session hijacking remains a critical threat in modern cybersecurity, allowing attackers to impersonate legitimate users by exploiting stolen session tokens. Conventional perimeter-based security frameworks often fail to prevent such attacks due to their reliance on static authentication. This study proposes a Zero Trust Architecture (ZTA) approach to prevent and mitigate session hijacking through continuous authentication, device trust verification, and micro-segmentation. A comprehensive dataset—including real-world attack traces, simulated penetration tests, and ZTA implementation logs—was used to evaluate the system's performance. The core components include risk-based access control, short-lived device-bound tokens, and behavioral analytics. Results demonstrate that the proposed model effectively blocks invalid or replayed tokens and untrusted devices, achieving a 100% detection rate in simulated hijacking scenarios. Compared to traditional methods, ZTA significantly reduces the session attack surface and improves resistance against MITM attacks. While challenges remain in user experience and legacy system compatibility, the security benefits justify implementation in cloud and hybrid enterprise environments. It is recommended that organizations adopt ZTA as a foundational security strategy to counter evolving session-based threats.
Copyright (c) 2025 Santhoshkumar S, Arunarani S (Author) https://creativecommons.org/licenses/by-sa/4.0
A Comparative Study of the Effectiveness of the Circular Economy Approach in China and the Community-Based Approach in Indonesia in Plastic Waste Management
Plastic waste remains a pressing global environmental challenge, with countries adopting various approaches to address it. This study aims to compare the effectiveness of China's circular economy (CE) strategy and Indonesia's community-based (CB) approach in managing plastic waste. Employing a qualitative comparative method, the research analyzes policy frameworks, case studies, and secondary data from both countries. The results reveal that China’s CE model, supported by centralized policy integration and technological innovation, achieves a recycling rate of 31%, demonstrating national scalability and efficiency. Conversely, Indonesia’s CB model promotes grassroots participation and behavioral change but faces limitations in policy consistency and scalability, with recycling rates ranging between 11–15%. Despite these differences, both approaches offer complementary strengths. China showcases systemic and industrial coordination, while Indonesia highlights the value of community engagement. This study recommends a hybrid strategy that combines China’s policy-driven structure with Indonesia’s participatory initiatives to create a more inclusive and sustainable plastic waste management model. The findings encourage policymakers and international agencies to promote knowledge exchange and develop integrated frameworks that balance regulation with public involvement.
Copyright (c) 2025 Rizka Saputro Nugroho, Muhammad Musyarrof Bik (Author) https://creativecommons.org/licenses/by-sa/4.0
Pharmacokinetics and Druglikeness of Amoxicillin Drug using SwissADME
Amoxicillin, a widely utilized semi-synthetic penicillin derivative, remains a cornerstone in treating various bacterial infections. Despite its extensive clinical application, a comprehensive in silico assessment of its pharmacokinetic and "druglikeness" properties using modern computational tools can provide valuable complementary insights. This study employed the SwissADME web platform to meticulously analyze the computed descriptors, physicochemical characteristics, ADME profile, druglikeness, and medicinal chemistry aspects of amoxicillin. The chemical structure of amoxicillin, represented by its SMILES string, was retrieved from the PubChem database and subsequently input into SwissADME for analysis. The results indicate that amoxicillin possesses a molecular weight of 365.40 g/mol and a hydrophilic nature, as evidenced by its consensus LogP value of -0.39 and high water solubility predictions. Its Topological Polar Surface Area (TPSA) is 158.26 Å², and it contains 4 hydrogen bond donors and 6 hydrogen bond acceptors. While the in silico prediction for gastrointestinal (GI) absorption was "Low" (likely due to the high TPSA and hydrophilicity, suggesting reliance on active transport mechanisms in vivo), amoxicillin fully complies with Lipinski's Rule of Five, indicating good oral bioavailability potential. Furthermore, it is predicted not to permeate the Blood-Brain Barrier (BBB) and shows no inhibitory activity against major CYP450 enzymes (CYP1A2, CYP2C19, CYP2C9, CYP2D6, CYP3A4) or P-glycoprotein, minimizing potential drug-drug interactions. The absence of PAINS and Brenk alerts signifies a clean chemical profile regarding assay interference and toxicity flags. Although some stricter druglikeness filters were violated due to its polar nature, amoxicillin's overall in silico profile, combined with its established clinical efficacy, highlights the complex interplay of physicochemical properties and biological transport mechanisms. This study reaffirms amoxicillin's favorable attributes from a computational perspective, serving as a valuable reference for understanding established antibiotics and guiding future antimicrobial design.
Copyright (c) 2025 Fendy Prasetyawan, Yuneka Saristiana, Ratna Mildawati, Eka Hayati Rhomah, Muhammad Nurul Fadel, Emma Jayanti Besan (Author) https://creativecommons.org/licenses/by-sa/4.0
Prediction of Scabertopin from Tapak Liman (Elephantopus scaber) for Antileukemic
Leukemia remains a significant global health challenge, necessitating the exploration of novel therapeutic agents with improved efficacy and safety profiles. Elephantopus scaber (commonly known as Tapak Liman) is a medicinal plant traditionally used for various ailments, including cancer. Scabertopin, a sesquiterpene lactone isolated from E. scaber, has attracted scientific interest due to its potential antileukemic properties. This study aims to predict the antileukemic activity of Scabertopin through an in silico approach. The compound's chemical structure was retrieved in SMILES format from the PubChem database and analyzed using the PASS (Prediction of Activity Spectra for Substances) online tool. The prediction results indicated a high probability of antileukemic activity, with a Pa (probability of activity) value of 0.822 and a Pi (probability of inactivity) value of 0.004. These findings suggest a strong likelihood that Scabertopin exhibits antileukemic effects, supporting its potential as a candidate for further pharmacological and clinical investigations. The use of computational prediction tools provides an efficient and cost-effective preliminary screening method for identifying promising bioactive compounds from natural sources. This study contributes valuable insights into the therapeutic potential of Scabertopin and highlights the importance of traditional medicinal plants in drug discovery for leukemia treatment.
Copyright (c) 2025 Yuneka Saristiana, Fendy Prasetyawan, Novynanda Salmasfattah, Tsamrotul Ilmi, Muhammad Nurul Fadel, Emma Jayanti Besan (Author) https://creativecommons.org/licenses/by-sa/4.0
Comprehensive Review on Artificial Intelligence Techniques for Financial Forecasting and Their Applications in Stock Market Analysis
The methodology involves a systematic review of scholarly literature, concentrating on peer-reviewed studies that discuss the efficacy, obstacles, and future directions of AI in stock market forecasting. Results indicate that AI holds significant promise for improving market efficiency and enhancing the understanding of price volatility. Nonetheless, issues such as data integrity, transparency of AI models, and the demand for comprehensive regulatory oversight remain critical concerns. The conclusions emphasize AI’s transformative capacity to process large-scale datasets and forecast market behavior with greater precision. At the same time, the research acknowledges current AI limitations and advocates for a hybrid approach that integrates AI with traditional forecasting techniques and ongoing algorithmic improvements. Recommendations stress the importance of interdisciplinary collaboration among AI developers, ethical scholars, and financial professionals to create AI systems that are transparent, ethically responsible, and operationally effective. Overall, this paper provides an extensive overview of AI’s impact on financial forecasting, offering valuable insights for future research. It highlights both the substantial opportunities and complex challenges AI introduces to stock market analysis, marking a significant step toward more data-driven decision-making in finance.
Copyright (c) 2025 Sulaiman Taiwo Hassan, Yusuf Adeyanju Yisau, Abalaka James Nda, Abdullahi Ya'u Usman, Abdullahi Ya'u Usman (Author) https://creativecommons.org/licenses/by-sa/4.0
Prediction of Sinensetin from Kumis Kucing (Orthosiphon aristatus) as Aspulvinone Dimethylallyltransferase Inhibitor for Anticancer Agent
Sinensetin, a polymethoxylated flavone found in Orthosiphon aristatus (commonly known as Kumis Kucing), was evaluated in silico for its potential inhibitory activity against Aspulvinone Dimethylallyltransferase, an enzyme implicated in cancer-related biosynthetic pathways. The SMILES structure of sinensetin was retrieved from PubChem and analyzed using the PASS online prediction tool (www.way2drug.com). The results showed a high probability of activity (Pa = 0.865) and a very low probability of inactivity (Pi = 0.016), indicating that sinensetin is likely to act as a potent inhibitor of the enzyme. These findings suggest that sinensetin could be a promising anticancer agent candidate by targeting Aspulvinone Dimethylallyltransferase. Further studies are recommended to validate this prediction through molecular docking and biological assays.
Copyright (c) 2025 Fendy Prasetyawan, Chandra Arifin, Widhi Astutik, Eka Hayati Rohmah, Mujtahid Bin Abd Kadir, M Wahyu Ariawan, Yogi Bhakti Marhenta, Ratna Mildawati, Yuneka Saristiana, Abd Rofiq (Author) https://creativecommons.org/licenses/by-sa/4.0
The Moderating Role of Risk Management Committee Independence in the Relationship between Firm Attributes and Financial Stability of Listed Deposit Money Banks in Nigeria
This study investigated how risk management committee independence moderates the relationship between firm attributes and the financial stability of deposit money banks in Nigeria over a ten-year period, from 2014 to 2023. Employing an ex-post facto research design, the study encompassed all 13 deposit money banks listed on the Nigerian Exchange Group, using a census sampling approach due to the manageable population size. Secondary data were extracted from the banks’ annual reports and financial statements. Financial stability, the dependent variable, was measured using the Altman Z-Score, while the independent variables included firm size, profitability, liquidity, and leverage. Risk management committee independence served as the moderating variable. Panel regression analysis was applied, with results indicating that profitability, leverage, and risk management committee independence each have a significant positive effect on financial stability, whereas firm size and liquidity showed no significant impact in the base model. However, when the moderation effect of risk management committee independence was introduced, firm size, profitability, and leverage all exhibited a positive and significant influence on financial stability, while liquidity remained statistically insignificant. The study concludes that risk management committee independence significantly strengthens the effect of firm size, profitability, and leverage on financial stability, though it does not alter the impact of liquidity. It is recommended that deposit money banks in Nigeria enhance governance structures and adopt dynamic risk management practices to improve profitability and financial resilience without hampering growth.
Profitability and Risk Management Committee Independence
Copyright (c) 2025 Babatunde Shamseldeen Ogunjimi, Iyere Samuel Iheonkhan, Naburgi Musa Mohammed (Author) https://creativecommons.org/licenses/by-sa/4.0
A Systematic Review of the Impact of Technological Advancements on Modern Accounting Practices
With the emergence of Industry 4.0, advanced technologies such as artificial intelligence (AI), data analytics, and automation have profoundly transformed the field of accounting. This paper presents a systematic review of recent literature to investigate the evolving landscape of accounting practices influenced by these technological advancements. The study emphasizes the impact of information technology and data analytics on accounting processes and managerial decision-making. Employing a rigorous systematic literature review methodology, relevant academic sources and premier journals were examined under strict inclusion and exclusion criteria. Findings reveal a notable rise in the integration of IT and data analytics within the accounting profession, alongside challenges related to implementation, including the necessity for specialized training and organizational adaptability. The paper concludes by advocating for the creation of comprehensive training programs to support accounting professionals in navigating technological transitions. This review aims to enhance the understanding of current trends in accounting and to guide future research directions in this evolving domain.
Copyright (c) 2025 Sulaiman Taiwo Hassan, Abdullahi Ya'u Usman (Author) https://creativecommons.org/licenses/by-sa/4.0