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International Journal of Multidisciplinary Sciences and Arts

ijmdsa
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Published by Information Technology and Science

ISSN : - EISSN : 29621658 DOI : https://doi.org/10.47709

Core Subject : Economy, Science, Education,

Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media

International Journal of Multidisciplinary Sciences and Arts is an international, multidisciplinary, peer-reviewed and open-access journal that provides a platform to produce high-quality original research, Reviews, Letters, and case reports in natural, social, applied, formal sciences, arts, and all other related fields. Our aim is to ameliorate the speedy distribution of new research ideas and results and allow the researchers to create new knowledge, studies, and innovations that will aid as a reference tool for the future.

Arjuna Subject : Seni dan Humaniora - Seni dan Humaniora (Lain-Lain)

Articles 339 Documents

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Ensuring Information Integrity in a Mobile-Connected World Neoaz, Nahid; Amin, Mohammad Hasan
International Journal of Multidisciplinary Sciences and Arts Vol. 3 No. 4 (2024): International Journal of Multidisciplinary Sciences and Arts, Article October 2
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v3i4.5299

The sunlight adoption of portable devices in individual and business activity has made a higher urgency of appropriate mobile information assurance policies. This article explores key approaches to securing mobile devices and sensitive information, focusing on three major components: Mobile Device Management (MDM), mobile security best practices, mobile cloud computing. MDM solutions are ways through which organizations can gain control in mobile devices with secure policies, distant management, and compliance checks. In addition, best practices for the physical security of mobiles, which include the use of non-disclosed passwords, the enabling of the encrypt or and the use of virtual private networks or other such security tools go further in safeguarding mobile environments against elements like malware and intrusion. Besides, cloud computing supports portable information assurance by providing backup, recovery, and security measures like encryption, and ID confirmation. Solutions based on cloud technology allow to implement effective data sharing and processing, as well as to control data security and compliance with the requirements of existing legislation. Altogether, these measures constitute an integrated security strategy of mobile, it provides protection to sensitive data, makes them accessible, and help in managing or eradicating threats in the connected environment.

Investigating the influence of coaches, trainers, and support staff on athletes' decisions to engage in doping practices Pathan, Dilawar
International Journal of Multidisciplinary Sciences and Arts Vol. 3 No. 4 (2024): International Journal of Multidisciplinary Sciences and Arts, Article October 2
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v3i4.5302

Doping remains a critical issue in competitive sports, undermining ethical standards and athletes' health. This study investigates the influence of motivational climates, anti-doping education among support personnel, and moral disengagement on athletes' doping susceptibility. A mixed-methods approach was employed, combining quantitative surveys from 150 athletes and 75 support personnel with qualitative interviews. Quantitative findings revealed that ego-oriented motivational climates significantly increased doping susceptibility, while autonomy-supportive climates reduced it. Additionally, athletes supported by personnel who received anti-doping education demonstrated lower susceptibility to doping. Moral disengagement emerged as a key moderator, with athletes under morally disengaged personnel showing higher doping susceptibility regardless of the motivational climate. Qualitative insights further contextualized these findings, highlighting barriers to fostering autonomy-supportive climates and implementing effective education, including resource constraints and systemic pressures. The study underscores the importance of addressing both psychological and systemic factors to mitigate doping behaviors. These findings align with existing research, emphasizing the need for targeted anti-doping interventions that prioritize education, promote autonomy-supportive environments, and address moral disengagement Policy recommendations include mandatory anti-doping education for all support personnel, tailored interventions to reduce moral disengagement, and organizational reforms to discourage performance-driven pressures. Despite its contributions, the study identifies gaps in understanding systemic factors and the long-term effectiveness of existing interventions, calling for future longitudinal and context-specific research. This research provides valuable insights for advancing clean sport initiatives, offering a pathway to enhance ethical behavior in competitive sports through education, leadership, and systemic change.

Healing with Intelligence: A Review of AI-Enabled Healthcare Solutions Zeb, Shah
International Journal of Multidisciplinary Sciences and Arts Vol. 4 No. 3 (2025): International Journal of Multidisciplinary Sciences and Arts, Article July 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v4i3.6839

Artificial intelligence (AI) is taking the healthcare field by storm as healthcare providers adopt its use to inform data-based decisions, improve clinical decision-making, and make their operations more efficient. This review discusses the fundamentals of AI, including machine learning, deep learning, and natural language processing technologies and how they can be applied to diagnostics, individualized treatment, remote patient monitoring, hospital operations, and population health monitoring. The strengths of AI are the ability to identify early disease, custom care plans, and precognitive analysis to direct resources. Nevertheless, integration in healthcare systems is stalled by risk of having biased algorithms, data privacy, interoperability, and changing demands of regulatory guidelines. A solution to such barriers is interdisciplinary: combining multiple views to develop and validate the models legitimately, with transparency and trustworthiness. Future trends, such as explainable AI, federated learning and integration of the robots aim at a more flexible and patient-centered future. After all, the best role that AI can play is to augment human expertise by providing more precise, proactive and fair care but without losing that critical human touch in healthcare.

The Role of Artificial Intelligence in Diagnosing Drug-Induced Hepatitis: A Systematic Review on Differentiation from Viral Hepatitis Hasan, Syed Umer; Kumar , Samesh; Shiwlani, Ashish; Kumar , Sooraj; Shiwlani, Nitasha
International Journal of Multidisciplinary Sciences and Arts Vol. 4 No. 3 (2025): International Journal of Multidisciplinary Sciences and Arts, Article July 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v4i3.5291

DILI presents symptoms like those in viral hepatitis in terms of elevated liver enzymes, jaundice, and liver dysfunction. These make it rather difficult to differentiate between DILI and viral hepatitis through traditional diagnostic methods. DILI is of profound relevance to global morbidity and mortality today. Thus, accurate diagnosis in terms of time and precision is essential. AI offers hope and promises to use improved diagnostics for personalized treatment strategies. After a systematic search on PubMed and Google Scholar, 933 studies were identified, and they concentrated on AI applications in differentiation regarding DILI and viral hepatitis. Only 55 studies were shortlisted for evaluation via a review process that covered diverse AI techniques deployed in diagnosis, including performance metrics. Models, AI have improved how DILI is diagnosed into a paradigm of distinctive biomarkers in a cross-section of clinical data. Machine learning algorithms using clinical data and imaging have very high accuracy in distinguishing DILI from viral hepatitis. It will improve early diagnosis, prognostic predictions, and novel therapeutic target identification by AI with multimodal-data cross-images, laboratory tests, and clinical history. Indeed, AI has the potential to be instrumental in enhancing the diagnosis of DILI and its differentiation from viral hepatitis. With the development of further advanced models, AI could even act as predictive compared to giving the facilities for drug-induced hepatotoxicity and thus enhance patient outcomes while reducing the cost-benefits for richer pharmaceutical processes.

Explainable AI Models for Credit Card Default Prediction: Balancing Accuracy and Interpretability Ishtiaq, Waqas
International Journal of Multidisciplinary Sciences and Arts Vol. 4 No. 4 (2025): International Journal of Multidisciplinary Sciences and Arts, Article October 2
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v4i4.6900

This paper will give an in-depth account of the use of Explainable AI (XAI) in credit card default prediction by juxtaposing theoretical frameworks and the empirical evidence of a particular case study. With the growing use of AI by financial institutions in credit scoring, the issue of interpretable and transparent models has been the most critical requirement not only to instill confidence among the stakeholders involved but also to meet regulatory requirements where clarity in automated decision-making is a requirement. The key conclusion is the accuracy-interpretability trade-off is not an insurmountable obstacle that cannot be overcome with the help of XAI methodologies practice. The empirical case study that adopted a surrogate modeling methodology involving the use of a Decision Tree to model a high-performing Gradient Boosting classifier proved that such hybrid approach can attain a strong predictive accuracy as well as generate interpretable outputs with near perfect fidelity. Such a success offers a concise and practical roadmap on how financial institutions can embrace the power of the latest AI models in a responsible manner, yet in compliance with strict regulatory rules.

Enhancing Mathematical Critical Thinking through Problem-Based Learning: A Case Study at SMP Pangeran Antasari Anta, Rizky; Asriati, Weni Widya; Julia, Nur Tri
International Journal of Multidisciplinary Sciences and Arts Vol. 4 No. 3 (2025): International Journal of Multidisciplinary Sciences and Arts, Article July 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v4i3.6904

This study aims to analyze the effect of Problem-Based Learning (PBL) on students’ mathematical critical thinking skills in solving Systems of Linear Equations in Two Variables (SPLDV). A qualitative descriptive approach was employed with 30 grade VIII students at SMP Pangeran Antasari as research subjects. Data were collected through tests, observations, interviews, and documentation, with instrument reliability confirmed using Cronbach’s Alpha (0.627). The findings show that 80% of students successfully identified problems, 75% provided logical reasoning, 70% connected mathematical concepts with real-life contexts, 85% applied appropriate solution strategies, and 78% drew valid conclusions. Nevertheless, around 20% of students demonstrated only moderate performance, and 10% showed significant difficulties in reasoning and inference. These results confirm that PBL enhances student engagement, collaborative learning, and higher-order thinking, while also highlighting the need for scaffolding to strengthen reasoning and inferencing skills. This research contributes empirical evidence supporting the application of PBL in mathematics classrooms and reinforces its alignment with constructivist learning theories and 21st-century skill development.

Indoor Air Quality Risks in U.S. E-Commerce Fulfillment Centers: A Systematic Review and Modeling-Based Risk Assessment of VOC Exposure Hossain, Mosharef
International Journal of Multidisciplinary Sciences and Arts Vol. 4 No. 3 (2025): International Journal of Multidisciplinary Sciences and Arts, Article July 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v4i3.6911

E-commerce growth has expanded large, enclosed fulfillment centers employing >1.7 M U.S. workers. VOCs from adhesives, packaging foams, solvents, and diesel equipment pose under-recognized IAQ hazards. PRISMA-guided review (2015–2025) identified 47 studies + 9 reports. A single-zone mass-balance model simulated VOCs at 0.3–3.0 ACH. Risks used EPA inhalation methodology: exposure concentration (EC), Hazard Quotient (HQ), and cancer risk (CR). Formaldehyde commonly ranged 15–120 µg/m³; benzene 2–35 µg/m³. Under 0.3 ACH, modeled steady-state concentration ????88 reached 112 µg/m³ (formaldehyde) and 25 µg/m³ (benzene).s EC-based estimates yielded HQ > 1 for formaldehyde and CR = 1.3×10?? for benzene—exceeding EPA’s acceptable range—despite OSHA compliance. Aggregate HQs > 2.0 indicate additive effects; 1.0 ACH reduced ECs by ~40–60%. Fulfillment center workers face material VOC risks invisible to OSHA PEL compliance. Ventilation to ASHRAE 62.1 intake targets (with ?3 ACH in high-emission zones), low-emission materials, continuous IAQ monitoring, and updated standards are urgently needed.

Determinants Of Community Health Center Utilization In The Working Area Of The Meukek Community Health Center, South Aceh Regency Rahmi, Cut; Rasima, Rasima; Asmanidar, Asmanidar
International Journal of Multidisciplinary Sciences and Arts Vol. 4 No. 3 (2025): International Journal of Multidisciplinary Sciences and Arts, Article July 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v4i3.6915

The importance of utilizing Community Health Centers (Puskesmas) in a region to the community is to help the community recognize their health problems as early as possible, as well as find and determine their management efforts, in addition to providing convenience and the ability to access quality health care facilities fairly and equitably. With the hope that the community is able to independently overcome their health problems, the community lives in an environment with healthy behavior, and encourages the community to participate in efforts to improve their health status as high as possible. The community's utilization of health services such as Puskesmas is influenced by several factors, including: the socioeconomic level of the family, the quality of health services at the Puskesmas, distance to the service center, a pleasant attitude, and, in accordance with community demands, the organization and management of the Puskesmas, and the range of rates. Utilization of Puskesmas is also influenced by internal factors such as age, education, knowledge, and attitudes, as well as external factors such as family support and socioeconomic status. This study aims to identify factors related to the utilization of Puskesmas by the community in the working area of ??the Puskesmas, Meukek District, South Aceh Regency. The design in this study uses a descriptive correlational design with a Cross-sectional study approach. The study population was all patients (community) who sought treatment at the Meukek District Community Health Center, South Aceh Regency, with a sample of 96 people, using a purposive sampling technique. The instrument used in this study was a questionnaire containing the respondent's identity and research variables consisting of the accessibility of the Community Health Center, knowledge, family support, and quality of service. Data collection techniques were carried out using questionnaires and interviews with respondents. Data analysis through univariate analysis using the frequency distribution formula and bivariate analysis using the Chi-Square statistical test with a degree of significance (?) = 5% to identify factors related to the use of the Community Health Center by the community in the working area of ??the Community Health Center, South Aceh Regency.

The Effect of Competence, Digital Technology, and Locus of Control On Fraud Prevention Anasthasya, Chealsea; Asmara, Rina Yuliastuty
International Journal of Multidisciplinary Sciences and Arts Vol. 4 No. 3 (2025): International Journal of Multidisciplinary Sciences and Arts, Article July 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v4i3.6952

This research aims to analyze the influence of competence, digital technology, and locus of control on fraud prevention in public accounting firms in Central Jakarta. Fraud prevention is an important aspect in maintaining the reliability of financial reports and the integrity of the accounting profession. Auditor competence, the use of digital technology, and individual locus of control are assumed to play an important role in supporting the effectiveness of fraud prevention. This study uses a quantitative method with a survey approach through questionnaires distributed to auditors at several public accounting firms in Central Jakarta. The analytical method used in this study is multiple linear regression analysis to test the influence of each independent variable on fraud prevention. The results show that competence and digital technology have a significant positive effect on fraud prevention, while, locus of control has no significant effect on fraud prevention. This means that the higher the level of auditor competence and the more optimal the use of digital technology, the more effective the fraud prevention efforts will be.

Determinants of Stock Returns with Dividend Policy as a Moderating Variable in Consumer Goods Companies Sihombing, Monang Juanda Tua; Trianovie, Sri
International Journal of Multidisciplinary Sciences and Arts Vol. 4 No. 3 (2025): International Journal of Multidisciplinary Sciences and Arts, Article July 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v4i3.6967

This study investigates the determinants of stock returns with dividend policy as a moderating variable in consumer goods companies listed on the Indonesia Stock Exchange during 2020–2024. A quantitative approach was employed using Structural Equation Modeling Partial Least Squares (SEM-PLS) with Smart PLS software. The sample consisted of 61 consumer goods companies selected through purposive sampling. The results indicate that net profit margin has no significant effect on stock returns, suggesting that profitability does not necessarily influence investor decisions in this sector. Inflation, however, shows a positive and significant effect on stock returns, highlighting that inflationary changes encourage investors to adjust their investment strategies. In contrast, the Bank Indonesia interest rate does not significantly affect stock returns, implying that interest rate fluctuations are not a primary factor for investors in consumer goods companies. Furthermore, the residual test demonstrates that dividend policy, measured by the dividend payout ratio, does not moderate the relationships between financial ratios, macroeconomic variables, and stock returns. These findings imply that dividend distribution alone does not guarantee investor interest, as investors tend to prioritize fundamental and long-term company performance over short-term payouts. The study contributes to the literature on stock return determinants by integrating firm level profitability and macroeconomic conditions with dividend policy as a moderating factor. It also provides practical insights for investors and managers, particularly regarding the limited role of dividend policy in influencing investment behavior in the Indonesian consumer goods sector.

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Home Page

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Contact Name Muhammad Khoiruddin Harahap

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Phone +6282251583783

Journal Mail Official publikasi@itscience.org

Editorial Address Medan

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Contact Name
Muhammad Khoiruddin Harahap

Contact Email
choir.harahap@yahoo.com

Phone
+6282251583783

Journal Mail Official
publikasi@itscience.org

Editorial Address
Medan

Location
Unknown,

Unknown

INDONESIA