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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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Securing Financial Systems with Block chain: A Comprehensive Review of Block chain and Cybersecurity Practices Abid, Noman
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.v3i4.5104

New and innovative block chain technology is becoming the key in enhancing the security, transparency and efficiency in the financial sector. However, as financial applications based on the block chain expand and improve, so do the block chain threats and safety concerns. This paper aims to discuss the aspects of the block chain security with reference to the financial system and its advantages and drawbacks. It embraces major risks like 51% attacks, smart contract exploits, phishing, and data privacy and security issues; new risks from quantum computing and Decentralized finance (DeFi) platforms. Best practices also outlined in the paper include the use of an industry-grade cryptographic algorithm, a robust multi-signature authentication technique, auditing of the block chain application at regular intervals, the adoption of secure, decentralized identity verification and management, as well as compliance with industry standards such as KYC and AML. It also underlines the need to establish effective access controls and to develop capability in scaling solutions and sustained monitoring. Lastly, it can be noted that the acquisition of block chain-based financial applications entails the use of a combination of measures to address existing and future risks. As these best practices are implemented and the threats advance, the financial institutions will be better placed to realize the full value of block chain technology while at the same time protecting the privacy and security of people’s financial transactions.

Synergizing Solar Cell Technology, Radio Waves, AI, Cybersecurity and Business: A Comprehensive Review Alexandra Harry
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.v3i4.5136

This thorough review article reveals the amazing possibilities for innovation, sustainability, and connectedness by examining the revolutionary synergy of solar cell technology, radio waves, artificial intelligence (AI), and business. A new era of possibilities has emerged from the merging of these dynamic sectors, ranging from using AI to optimize solar energy generation to utilizing 5G technology and the Internet of Things (IoT) to revolutionize wireless communication. These technologies' convergence provides an ideal environment for entrepreneurship, as demonstrated by successful examples like Verizon's 5G-enabled smart cities and Sun Power’s AI-enhanced solar panels. Artificial Intelligence (AI) is revolutionizing cybersecurity by enhancing threat detection, prevention, and response capabilities. Leveraging machine learning algorithms and data analytics, AI enables systems to identify vulnerabilities, detect patterns of malicious activities, and mitigate risks in real-time. Although this convergence offers ground-breaking potential, it also brings with it difficult problems. These include the effective management of electromagnetic spectrum, ethical AI concerns, and regulatory difficulties. In order to effectively manage this constantly changing environment, stakeholders need to support international collaboration, STEM education, flexible regulatory frameworks, and interdisciplinary research. To fully realize the revolutionary potential of these technologies, workforce development, incentives for sustainable habits, and sustainable technology research are crucial. In addition, in order to spur innovation in green AI, energy-efficient wireless communication, and renewable energy, governments and organizations need to make investments in green technology. It is critical to comprehend the main lessons in light of the changing environment at the nexus of these dynamic disciplines. These include the necessity of inclusivity, the value of sustainability, and the importance of ethical AI. Adopting these tenets will direct us toward a future marked by continuous progress, convergence of technology, and a flourishing innovation environment.

Convergence of AI and Healthcare: A Review of Machine Learning Applications Sherani, Abdul Mannan Khan; Khan, Murad
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.v3i4.5158

The integration of AI and healthcare can act as the foundation for improving the medical business and the diagnosis and treatment process, as well as patient throughputs. Guided by the following objectives: the current review seeks to discuss what can perhaps be considered as the most revolutionary aspect of care: namely, use of the ML. Software such as the radiology algorithms as well as the prediction tools in healthcare are already narrowing down the error margin. This shifting of life through the practice of genetics by the improvement of AI in managing genetics as the world turns to individualized approach of patients. However, there is a list of challenges that arise when applying AI in the healthcare industry: Data protection and Algorithmic or and The question of who or what is responsible for the AI applications. Clinical decision involving the use of AI has ethical and regulatory issues that need to be addressed therein. But AI does hold a massive amount in advancing the clinical results, in reducing the costs and in making the health care system much stronger, proactive, personalized and efficient. As to the future trends for the use of AI in health care; it will be employed in pharmacology and drug development; in surgery through robot control; and patient management through tele monitoring; as well as in precision care and health information analytics and forecasting. New solutions to still pending issues in data protection, data sharing and objectivity will be important in the future of AI in health care. In sum, this paper proposed that AI is an innovative tool in healthcare’s, that has the potential to redefine the possibilities of how patient care can be delivered, and clinical work can be done, provided the steering wheel of ethical and regulatory burdens is pulled well.

Predictive models performance in financial services for identifying at-risk customers Ghimire, Ashok
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.v3i4.5161

It is therefore essential in financial service where the concept of pre-emptive modeling is used to select customers that are most likely to engage in negative behaviors like loan defaulting, fraud or churn. This paper will seek to analyze different modeling techniques like Logistic regression, Decision trees, Random forests, Gradient boosting, and Neural network among others. The paper pays considerable attention to the data preprocessing step; problems such as imbalance ratio and missing values as well as important parameters such as precision, recall, and AUC-ROC to measure the efficiency of the models. Some of these problems that have been highlighted in the review include; data privacy, compliance to laws and regulations among others and model interpretability which plays an important role in the financial industry. This means that new achievements like XAI, Real-time analytics, Federated learning have contributed to the improvement of model interpretability, model size and data security. Such include technological applications to increase accuracy of Risk prediction while cutting costs, and help the financial institutions retain the trust of the customer given the ever changing regulation. By integrating these novelties and ethical issues, some more financial institutions should enhance the centrality of the presented predictions to improve the identification of the risks and customers’ appeal.

Human Factors in Information Assurance: A Review of Behavioral and Cultural Aspects Neoaz, Nahid
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.v3i4.5177

IA is a critical field in shielding information and information structures from unapproved use, divulging, interference or demolition. Technical controls applied in IA provide ways of preventing such acts and managing the risk but since aspects of operational environment and people’s attitudes significantly influence IA as an exercise, it represents a critical factor. This paper on IA focuses on behavior and culture that affect human decision making process, Cognitive Bias, and emotions, security behaviors and structures. It addresses the aspect of how a user will prefer convenience to security, get to provide information to an unauthorized user and or will not follow most organizational policies due to ignorance of the detected securities put in place. The final factors that the paper analyses as the factors influencing security within an organization include leadership engagement, training, security awareness and security culture. Lastly, information is presented about social engineering as an attack approach as well as measures to prevent them, such as, for example, using multi-factor authentication. The paper insists that strategy for IA cannot do without including technical solutions as well as a consideration of regard human behavior and practice as a method of unfolding a security culture across organizations. In addition, by applying the evaluation framework in this paper, organizations enhance on technical and human IA approach, and reduce risk elements, familiarize people with new hostile forces emerging to threaten secret information.

Advancing Healthcare through AI: A Comprehensive Review of Cybersecurity Challenges and Information Access Strategies Rouaf, Hafiz Abdul
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.v3i4.5206

Where Artificial Intelligence is most active today, there are quite a few applications of AI in the sphere of healthcare – never before have diagnostics, treatment, decision making have been so precise, effective, and individual. However in the actual application of artificial intelligence in healthcare systems, one is bound to encounter a number of issues such as cybersecurity and issues to do with secure access to information. The most vulnerable type of personal health information in this regard is the electronic personal health information as patient data can be hacked though data breach, ransom ware, or alteration of the algorithm used by the AI system to the detriment of the patient in question and that of the system in general. Further, there is an enforceable obligation for integrated and smart access to knowledge for clinicians and researchers and strong patient demand for patient protection and patient data privacy. In this opinion presentation, this review looks at the two elements of cybersecurity conflict as well as information availability in an AI-focused healthcare environment. They announce threats of raised levels of security risks, network vulnerabilities, and data and algorithms manipulation. The paper also includes the possibility of combating such challenges, such as; AI security tools, encryption and authentication, and integrating federated learning, the block chain, and priory-preserving AI. Further, it has recognized the importance of the expansion of consideration about how data is passed from one entity to another with no disruptions, the patient-level approach to data management, and cybersecurity training for the, respectively, healthcare workforce.

Improving Entrepreneurial Spirit Through Business Plan In Manunggal Village, Deli Serdang Putra, Muhammad Umar Maya; Sinto, Sinto; Chan, Syafri; Panjaitan, Tuah; Nasution, Asmara Sari
International Journal of Multidisciplinary Sciences and Arts Vol. 4 No. 1 (2025): International Journal of Multidisciplinary Sciences and Arts, Article January 2
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v3i4.5212

This Community Partnership Service is a concept of applying entrepreneurship courses in the Entrepreneurship Management Study Program at the Faculty of Economics, Universitas Al Azhar based on the Community Empowerment Program, it is expected that the Management Study Program will know the importance of entrepreneurship in improving business and continue to the community in Manunggal Village, Deli Serdang Regency. The method that will be used is the experimental learning method and the concept of literature study on entrepreneurship and SWOT Analysis. The delivery is in the form of lectures, group discussions so that people can actively participate in this activity. In the training, the material presented: The concept of entrepreneurship. After the activity was carried out, it was found that the participants were quite responsive and enthusiastic in following the training material, as evidenced by the many questions asked by the participants and there was a business plan made to make it after the next Batch series at Universitas Al Azhar

Economic Growth and Poverty of North Sumatera Province (Comparative Study Before and During the Covid-19 Pandemic) Fitrawaty, Fitrawaty; Sinaga , Rosenta Febri Mutiara; Ananta, Dimas
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.v3i4.5214

Economic growth and poverty levels are crucial indicators for assessing a country's development progress. When the coronavirus disease (COVID-19) pandemic hit Indonesia, both economic growth and poverty rates increased significantly. The widespread impact of the novel coronavirus has affected all aspects of life, particularly the economic sector. The increasing prevalence of the COVID-19 pandemic has directly contributed to rising poverty levels in various regions of Indonesia, including North Sumatra.This study utilizes data from the North Sumatra Central Statistics Agency before the COVID-19 pandemic (2015-2019) and during the pandemic (2020-2022). To evaluate the changes that occurred, the "Independent Samples T-test" analysis method was employed. The findings reveal a significant difference between the pre-pandemic and pandemic periods, reflecting the substantial impact of the pandemic on economic growth and poverty levels in North Sumatra. These results highlight the need for careful policy considerations and interventions to address the economic and social consequences of the COVID-19 pandemic at the local level.

Revolutionizing Healthcare: The Role of Artificial Intelligence in Cancer Medicine and Resistance Management George Edison
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.v3i4.5256

I will write about use of AI in healthcare and how it is altering practice of medicine and advancement in the practice of research in general healthcare. This paper shall therefore make efforts at highlighting the critical use of AI in dealing with antibiotic stewardship and resistance, synthesize new ideas involving the concept to enhance the utilization of antibiotics, reduce on resistance as well as promote the wellbeing of patients. Such comparability is made to improvement in cancer treating, where the AI is enhancing the early diagnoses, unique patient treatment, and biopharmaceuticals and cancer resistances tracking. However, with the use of machine learning, predictive modelling and data analytics, AI is providing solution based on problems that cannot be solved directly using the diseases and cancer. Thus, despite the fact that this paper provided just some examples of AI’s application in two fairly significant spheres of healthcare, it is possible to confidently state that employing the given technologies may bring efficient amendment in the spheres of medical practice and enhance the health of people all over the globe.

Value Chain Analysis In The Marble Production Process In Aceh Selatan Polytechnic. Afdhal, Afdhal; Sastra, Hasan Yudhie; Husni, Husni
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.v3i4.5280

Potential rocks such as granite and marble are easy to find in mining products in South Aceh. South Aceh granite and marble, which have high quality, provide benefits and have great potential to be developed. Currently, the use of marble is made into various crafts carried out by workshop the South Aceh PolytechnicCurrent market competition requires a value-added from a product, so the purpose of this study is to conduct a supply chain analysis in the marble production process at the South Aceh Polytechnic. Increasing value chain to marble products is expected to contribute to business development significantly. This research focused on the plan and source stages. The results found that activities in marble production at the South Aceh Polytechnic lack agreements with third parties as both marble supply agents and cooperation agreements with packaging companies, so the marble handicrafts produced have not produced a product. Ready to compete in the market.

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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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Abstract

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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