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Samsul A Rahman Sidik Hasibuan
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INDONESIA
Multicore International Journal of Multidisciplinary (MIJM)
ISSN : -     EISSN : 3108933X     DOI : https://doi.org/10.64123
Multicore International Journal of Multidisciplinary (MIJM) aims to foster intellectual exchange and collaboration across various academic disciplines, promoting knowledge that transcends traditional boundaries and contributes to the development of society and science. Scope includes (but is not limited to): 1. Interdisciplinary research integrating science, technology, and humanities 2. Multidisciplinary innovation in education, economics, and society 3. Applied science and technology for public benefit 4. Social science and behavioral research with cross-field implications 5. Health sciences and public policy 6. Sustainability and development studies 7. Cultural studies, philosophy, and ethical innovation 8. Computational models in social and human behavior
Arjuna Subject : Umum - Umum
Articles 10 Documents
A Systematic Review of the Impact of Technological Advancements on Modern Accounting Practices Sulaiman Taiwo Hassan; Abdullahi Ya'u Usman
Multicore International Journal of Multidisciplinary (MIJM) Vol. 1 No. 1 (2025): May
Publisher : Marasofi International Media and Publishing (MIMP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64123/mijm.v1.i1.1

Abstract

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.
Prediction of Sinensetin from Kumis Kucing (Orthosiphon aristatus) as Aspulvinone Dimethylallyltransferase Inhibitor for Anticancer Agent Prasetyawan, Fendy; Arifin, Chandra; Astutik, Widhi; Rohmah, Eka Hayati; Kadir, Mujtahid Bin Abd; Ariawan, M Wahyu; Marhenta, Yogi Bhakti; Mildawati, Ratna; Saristiana, Yuneka; Rofiq, Abd
Multicore International Journal of Multidisciplinary (MIJM) Vol. 1 No. 1 (2025): May
Publisher : Marasofi International Media and Publishing (MIMP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64123/mijm.v1.i1.3

Abstract

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.
The Moderating Role of Risk Management Committee Independence in the Relationship between Firm Attributes and Financial Stability of Listed Deposit Money Banks in Nigeria Babatunde Shamseldeen Ogunjimi; Iyere Samuel Iheonkhan; Naburgi Musa Mohammed
Multicore International Journal of Multidisciplinary (MIJM) Vol. 1 No. 1 (2025): May
Publisher : Marasofi International Media and Publishing (MIMP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64123/mijm.v1.i1.2

Abstract

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.
Comprehensive Review on Artificial Intelligence Techniques for Financial Forecasting and Their Applications in Stock Market Analysis Sulaiman Taiwo Hassan; Yusuf Adeyanju Yisau; Abalaka James Nda; Abdullahi Ya'u Usman
Multicore International Journal of Multidisciplinary (MIJM) Vol. 1 No. 1 (2025): May
Publisher : Marasofi International Media and Publishing (MIMP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64123/mijm.v1.i1.4

Abstract

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.
Prediction of Scabertopin from Tapak Liman (Elephantopus scaber) for Antileukemic Saristiana, Yuneka; Prasetyawan, Fendy; Salmasfattah, Novynanda; Ilmi, Tsamrotul; Fadel, Muhammad Nurul; Besan, Emma Jayanti
Multicore International Journal of Multidisciplinary (MIJM) Vol. 1 No. 1 (2025): May
Publisher : Marasofi International Media and Publishing (MIMP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64123/mijm.v1.i1.5

Abstract

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.
Pharmacokinetics and Druglikeness of Amoxicillin Drug using SwissADME Prasetyawan, Fendy; Saristiana, Yuneka; Mildawati, Ratna; Rhomah, Eka Hayati; Fadel, Muhammad Nurul; Besan, Emma Jayanti
Multicore International Journal of Multidisciplinary (MIJM) Vol. 1 No. 2 (2025): November
Publisher : Marasofi International Media and Publishing (MIMP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64123/mijm.v1.i2.3

Abstract

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 Ų, 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.
A Comparative Study of the Effectiveness of the Circular Economy Approach in China and the Community-Based Approach in Indonesia in Plastic Waste Management Rizka Saputro Nugroho; Muhammad Musyarrof Bik
Multicore International Journal of Multidisciplinary (MIJM) Vol. 1 No. 2 (2025): November
Publisher : Marasofi International Media and Publishing (MIMP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64123/mijm.v1.i2.1

Abstract

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.
Preventing And Mitigating Session Hijacking Using Zero Trust Architecture Santhoshkumar S; Arunarani S
Multicore International Journal of Multidisciplinary (MIJM) Vol. 1 No. 2 (2025): November
Publisher : Marasofi International Media and Publishing (MIMP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64123/mijm.v1.i2.2

Abstract

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.
Strengths and Weaknesses of MSMEs in the Digital Era: Challenges and Opportunities for Transformation Towards Sustainable Competitiveness Dwi Yanti Octaviani; Mila Kamelia Putri; Mashudi
Multicore International Journal of Multidisciplinary (MIJM) Vol. 1 No. 2 (2025): November
Publisher : Marasofi International Media and Publishing (MIMP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64123/mijm.v1.i2.4

Abstract

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.
The Effect of Corn Husk Waste Addition in Paper Production on Surface Texture and Printability Dianta Mustofa Kamal; Nadiah Tsabitah; Nayla Nazneen
Multicore International Journal of Multidisciplinary (MIJM) Vol. 1 No. 2 (2025): November
Publisher : Marasofi International Media and Publishing (MIMP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64123/mijm.v1.i2.5

Abstract

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.

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