cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
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
International Journal of Multidisciplinary Sciences and Arts
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
 8   9   10   11   12 
3D Printing Techniques: Transforming Manufacturing with Precision and Sustainability Shahrukh Khan Lodhi; Ahmad Yousaf Gill; Ibrar Hussain
International Journal of Multidisciplinary Sciences and Arts Vol. 3 No. 3 (2024): International Journal of Multidisciplinary Sciences and Arts, Article July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v3i3.4568

Abstract

Additive manufacturing, sometimes known as 3D printing, has advanced quickly and has the potential to revolutionize a number of industries. This analysis examines the noteworthy developments and upcoming trends in 3D printing, emphasizing the effects on accuracy, eco-friendliness, and industrial uses. The first section of the book explores how advances in materials have affected 3D printing, with a focus on the creation of thermoplastics, photopolymers, metal powders, ceramics, and bio-printable materials. These developments have increased 3D printing's potential and made it possible to produce components that are biocompatible, customizable, and high-performing. The topic of sustainability is then brought up, with particular emphasis on how 3D printing helps to cut down on energy and material waste. The key components of the technology's environmental benefits are its on-demand part production capability and its utilization of environmentally benign resources like recycled and biodegradable polymers. The essay also discusses the difficulties associated with material disposal and energy use in the perspective of sustainability. Examining industrial applications, the paper emphasizes how 3D printing is revolutionizing industries like consumer products, construction, healthcare, automotive, and aerospace. The technology's versatility and effect across multiple fields are demonstrated by highlighting its role in enabling rapid prototyping, customized production, and novel design solutions. The assessment highlights major developments in 3D printing for the future, such as advances in materials science, technological advancements, and integration with other cutting-edge fields like artificial intelligence, the Internet of things, and robotics. Highlighted are the possibilities for increased customization, on-demand production, and sustainability, demonstrating how these advancements will continue to influence the market? The assessment highlights the significant effects that 3D printing will have on manufacturing and design, emphasizing how technology may spur innovation, lessen its negative effects on the environment, and adapt to changing needs in a variety of industries. Technology will play an ever-more-important role in improving sustainability and revolutionizing sectors as it develops.
AI-Powered Innovations in Contemporary Manufacturing Procedures: An Extensive Analysis Shahrukh Khan Lodhi; Ahmad Yousaf Gill; Ibrar Hussain
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.v3i4.4616

Abstract

The industrial sector is undergoing a transformation thanks to artificial intelligence (AI), which is bringing revolutionary changes to a number of areas like robots and automation, supply chain efficiency, predictive maintenance, and quality control and assurance. This thorough analysis investigates AI's significant influence on contemporary manufacturing procedures. Artificial Intelligence (AI) improves machine capabilities in robotics and automation, creating more intelligent and flexible systems. Robots can now complete complicated tasks with more flexibility and precision thanks to AI-driven developments, which boosts manufacturing efficiency and human-robot cooperation. Another crucial area where AI has a big impact is predictive maintenance. With the use of machine learning algorithms and real-time data analysis, artificial intelligence (AI) helps manufacturers anticipate equipment faults before they happen. By taking a proactive stance, unplanned downtime is decreased, resource usage is optimized, and machinery longevity is increased. AI has a significant positive impact on quality assurance and control because to cutting-edge technologies like data analytics and computer vision. Artificial intelligence (AI) solutions facilitate predictive quality management, improve fault identification, and offer real-time monitoring. Higher quality standards, less waste, and more customer happiness are the outcomes of this. Artificial Intelligence (AI) tackles issues related to supplier performance, accurate forecasting, and inventory management in supply chain optimization. Automation and analytics powered by AI simplify supply chain processes, increase transparency, and facilitate improved decision-making, which lowers costs and increases flexibility. All things considered, integrating AI into manufacturing processes offers a strategic advantage by promoting increased accuracy, flexibility, and efficiency. The continued developments in AI technology have the potential to significantly influence how manufacturing develops in the future by creating new avenues for creativity and excellence in the sector.
Using AI to Increase Heat Exchanger Efficiency: An Extensive Analysis of Innovations and Uses Shahrukh Khan Lodhi; Hafiz Khawar Hussain; Ibrar Hussain
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.v3i4.4617

Abstract

Artificial intelligence (AI) has made significant strides toward cost reduction and performance optimization in heat exchanger technologies. Artificial intelligence (AI) methods in machine learning, deep learning, and expert systems provide significant advancements in diagnostics, performance optimization, and predictive maintenance. While deep learning is superior at recognizing intricate patterns, machine learning offers flexibility through data analysis. Expert systems use domain expertise to make decisions, although they might not be as flexible as data-driven methods. Hybrid approaches integrate these strategies to improve flexibility and performance. New developments include smart heat exchangers with IoT capabilities for real-time monitoring, compact designs for a variety of applications, and new materials and coatings that improve durability and efficiency. Reducing environmental effect is also reflected in sustainable solutions like waste heat recovery. Nevertheless, issues like computing costs, data quality, and interaction with current systems still need to be resolved. Optimized computational methodologies, modular integration, and sophisticated sensor technology are required to address these problems. AI has the power to completely transform heat exchanger technology by enhancing sustainability and efficiency. Future breakthroughs will be fueled by ongoing improvements in materials, designs, and AI approaches, offering more complex solutions to satisfy changing environmental and performance requirements.
A succinct synopsis of predictive analysis applications in the contemporary period Latha Narayanan Valli
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.v3i4.4625

Abstract

A potent subset of data analytics called predictive analytics is revolutionizing a number of industries by using historical data, machine learning methods, and statistical algorithms to predict future events and guide strategic choices. The uses and advantages of predictive analytics in the fields of finance, healthcare, manufacturing, energy and utilities, retail, and marketing are highlighted in this thorough overview. Predictive models improve market risk management, fraud detection, and credit risk assessment in the financial sector, promoting stability and confidence. Applications in healthcare include operational efficiency, tailored treatment, and patient risk assessment, all of which improve patient outcomes. Supply chain risk management, quality assurance, and predictive maintenance all help manufacturers maximize efficiency and reduce downtime. Demand forecasting, asset performance management, and regulatory compliance all help the energy and utilities sector by guaranteeing dependable and effective service delivery. Predictive analytics helps retailers satisfy customer requests and keep a competitive edge by assisting with inventory management, customer satisfaction, and competitive analysis. Customer segmentation, personalized marketing, campaign optimization, sales forecasting, churn prediction, customer lifetime value prediction, market trend analysis, and sentiment analysis all greatly improve marketing techniques.
Artificial Intelligence in Healthcare: Revealing Novel Approaches to Cancer Treatment, Fraud Investigation, and Petroleum Industry Perspectives Muhammad Fahad; Muhammad Ibrar; Muhammad Umer Qayyum; Ali Husnain
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.v3i4.4637

Abstract

Artificial Intelligence (AI) is increasingly transforming healthcare by enhancing diagnostic accuracy, personalizing treatment, and improving operational efficiencies. This review explores AI's impact across several key areas: cancer medicine, fraud detection, and lessons from the petroleum industry. In cancer medicine, AI-driven advancements are leading to more accurate diagnostics, personalized treatment plans, and predictive models for patient outcomes. In fraud detection, AI techniques such as anomaly detection and natural language processing are effectively identifying and mitigating fraudulent activities, safeguarding financial and operational integrity. Insights from the petroleum industry reveal how AI applications, such as predictive maintenance and operational optimization, can be adapted to healthcare settings to enhance equipment reliability and resource management. Emerging trends include the integration of AI with genomics, telemedicine, and cross-disciplinary innovations, which promise further advancements in personalized care and operational efficiency. However, ethical considerations such as data privacy, bias, and transparency must be addressed to ensure responsible AI deployment. The review concludes by highlighting the need for continued innovation, collaboration, and patient-centric approaches to fully realize AI's potential in transforming healthcare and improving patient outcomes.
Integrating AI in Healthcare: Innovations in Petroleum-Based Fraud Detection and Its Implications for Medical Diagnostics Muhammad Fahad; Muhammad Ibrar; Muhammad Umer Qayyum; Ali Husnain
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.v3i4.4655

Abstract

Artificial intelligence (AI) is transforming a number of industries through increasing operational effectiveness, detecting fraudulent activity, and boosting diagnostic accuracy. In order to demonstrate the transformational potential of AI techniques across different areas, this review paper examines the convergence of petroleum-based fraud detection and AI applications in healthcare. The study looks at how artificial intelligence is currently being used in healthcare, particularly in tailored and medical diagnostics. After that, it explores how artificial intelligence (AI) is utilized in petroleum-based fraud detection, going over methods like data mining, anomaly detection, and machine learning algorithms that are used to find and stop fraud. The review emphasizes the possible advantages and synergies as it looks further into how fraud detection findings from the petroleum business might be applied to healthcare. Notwithstanding these advantages, the paper discusses the main obstacles and restrictions related to integrating AI, such as system integration, data security and privacy, accuracy and dependability, and ethical and legal issues. The study intends to provide significant insights into the efficient deployment of AI technologies and the potential for cross-industry applications to stimulate innovation and enhance results by giving a thorough review of these subjects.
AI's Revolutionary Role in Cyber Defense and Social Engineering Muhammad Ismaeel Khan; Aftab Arif; Ali Khan
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

Abstract

Creative methods of cybersecurity are required due to the growing complexity of cyber threats, especially those originating from social engineering techniques. The revolutionary role that artificial intelligence (AI) is playing in transforming cybersecurity practices is examined in this review article. It starts by looking at social engineering assaults and how AI technologies improve the ability to identify threats and take appropriate action. The study goes on to address the particular uses of AI in a number of cybersecurity fields, such as automated incident response, fraud detection, and anomaly detection. The application of AI in cybersecurity is not without difficulties, despite its many advantages. Significant challenges are presented by problems with data quality and bias, adversarial attacks, ethical issues, and resource requirements. In order to create complete cybersecurity plans, it is crucial to integrate AI with human expertise and emphasize the necessity for human oversight and collaboration. Future developments in AI technology are expected to continue, especially in the areas of machine learning algorithms and their integration with newly developed platforms like block chain and the Internet of Things (IoT). Case studies reveal how AI has been successfully implemented in businesses in a variety of industries, demonstrating how AI may enhance danger detection and reaction times. Artificial intelligence has enormous potential to improve cybersecurity protocols. In order to secure a safer digital future, organizations that adopt AI technology while addressing ethical issues and promoting a culture of continuous learning will be in a better position to manage the always changing terrain of cyber dangers.
An overview of cyber threats generated by AI Aftab Arif; Muhammad Ismaeel Khan; Ali Khan
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

Abstract

Artificial intelligence's (AI) quick development has drastically changed cyber security by bringing in both sophisticated cyber threats and cutting-edge defenses. This research paper offers a thorough analysis of AI-generated cyber threats, including their mechanics, noteworthy case examples, and countermeasures. The report demonstrates how attackers carry out high-impact assaults, such as automated phishing, ransom ware, and misinformation campaigns, by utilizing AI tools like machine learning, natural language processing, and deep fake technologies. Important case studies highlight the necessity for enterprises to implement proactive and comprehensive security measures by illuminating the practical effects of these risks. Trends suggest that as AI-generated threats develop, they will become more sophisticated and automated due to the rise of autonomous systems that can carry out assaults without the need for human interaction. Organizations are urged to make investments in cutting-edge AI-powered security solutions, promote a cyber-security-aware culture among staff members, and create strong incident response strategies in order to address these changing issues. Enhancing collective defenses against AI-generated cyber threats requires stakeholder collaboration and information sharing, as well as frequent security assessments and adherence to ethical AI principles. This research indicates that a proactive and adaptive strategy to cyber security will be critical in guaranteeing resilience against the increasingly complex threat landscape posed by AI as enterprises traverse the intricacies of the digital era. In an interconnected world, stakeholders can cooperate to protect their assets and uphold public trust by cultivating a culture of continual development and cooperation.
History of Japanese Writing System; From Kanji Into Hiragana Limantoro, Gray Hansen; Atma, Yeyen Dwi
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.v3i4.4794

Abstract

The Japanese writing system has undergone a long and complex evolution since the introduction of Chinese characters (hànzì) in the 5th century. Over time, this system, comprising kanji, kana (hiragana and katakana), and romaji, has seen continuous transformations. This research explores the historical progression of the Japanese writing system, tracing its development from the early use of kanji and the adaptation of Man’y?gana to the eventual creation of kana. Kanji, originally imported from China, initially posed challenges due to its complexity and the mismatch with the Japanese language structure. As a result, Man’y?gana, an early form of Japanese script using kanji phonetically, emerged as an intermediary step. Eventually, this evolved into two distinct syllabaries: hiragana and katakana, collectively known as kana, which simplified writing and better suited the Japanese linguistic context. This study utilizes desk research to analyze the key stages of this transformation, focusing on the cultural, linguistic, and social factors that contributed to each phase of development. From the influence of Chinese characters to the creation of a uniquely Japanese writing system, the transition from kanji to kana reflects the need for reform and adaptation. By examining these historical shifts, the research sheds light on how Japan tailored a borrowed writing system to suit its own language and facilitated easier, more accessible written communication.
Integrating AI in Healthcare: Advancements in Petroleum Fraud Detection and Innovations in Herbal Medicine for Enhanced Cancer Treatment Approaches Ali Husnain; Muhammad Umer Qayyum; Muhammad Fahad; Muhammad Ibrar
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.v3i4.4810

Abstract

Artificial intelligence (AI) is transforming a number of industries, such as healthcare, detecting petroleum fraud, and herbal medicine. AI solves difficult problems and opens up new avenues for growth. This paper examines how AI has revolutionized several sectors and identifies opportunities and synergies for the future. AI is improving administrative efficiency, tailored treatment, and diagnostics in the healthcare industry. Natural language processing and sophisticated machine learning models are enhancing the precision of diagnoses, customizing care, and streamlining hospital operations. To guarantee responsible integration, however, ethical issues and data protection issues need to be taken into account. Artificial intelligence is proving to be a vital tool in the fight against petroleum fraud, particularly in the areas of financial misreporting and fuel adulteration. Real-time monitoring systems and machine learning algorithms improve fraud detection, safeguard financial assets, and guarantee regulatory compliance. AI is helping to close the knowledge gap between current science and traditional herbal treatment. Artificial Intelligence enhances the efficacy, safety, and standardization of herbal remedies by evaluating plant components and forecasting their therapeutic effects. The significance of herbal treatments in conventional healthcare is strengthened by this integration, which also holds potential for novel treatment advancements. Prospects for the future include maintaining funding for AI research, tackling moral and legal issues, encouraging interdisciplinary cooperation, and raising public awareness. AI may be fully utilized by implementing these tactics, which will advance and enhance results in the fields of herbal medicine, fraud detection, and healthcare. All things considered, artificial intelligence (AI) is a disruptive force that can alter methods, improve efficiencies, and open up new avenues for research. These fields' futures will be shaped by its sustained development and prudent application, which will also help improve technology and healthcare more broadly.

Page 10 of 34 | Total Record : 339

 8   9   10   11   12 

Filter by Year

2022 2026


Reset
Filter By Issues
All Issue Vol. 5 No. 2 (2026): International Journal of Multidisciplinary Sciences and Arts, Article April 202 Vol. 5 No. 1 (2026): International Journal of Multidisciplinary Sciences and Arts, Article January 2 Vol. 4 No. 3 (2025): International Journal of Multidisciplinary Sciences and Arts, Article July 2025 Vol. 4 No. 2 (2025): International Journal of Multidisciplinary Sciences and Arts, Article April 202 Vol. 4 No. 4 (2025): International Journal of Multidisciplinary Sciences and Arts, Article October 2 Vol. 4 No. 1 (2025): International Journal of Multidisciplinary Sciences and Arts, Article January 2 Vol. 3 No. 3 (2024): International Journal of Multidisciplinary Sciences and Arts, Article July 2024 Vol. 3 No. 2 (2024): International Journal of Multidisciplinary Sciences and Arts, Article April 202 Vol. 3 No. 4 (2024): International Journal of Multidisciplinary Sciences and Arts, Article October 2 Vol. 3 No. 1 (2024): International Journal of Multidisciplinary Sciences and Arts, Article January 2 Vol. 2 No. 3 (2023): International Journal of Multidisciplinary Sciences and Arts, Article July 2023 Vol. 2 No. 1 (2023): International Journal of Multidisciplinary Sciences and Arts, Article June 2023 Vol. 2 No. 2 (2023): International Journal of Multidisciplinary Sciences and Arts, Article April 202 Vol. 2 No. 4 (2023): International Journal of Multidisciplinary Sciences and Arts, Article October 2 Vol. 2 No. 1 (2023): International Journal of Multidisciplinary Sciences and Arts, Article January 2 Vol. 1 No. 1 (2022): International Journal of Multidisciplinary Sciences and Arts, Article August 20 Vol. 1 No. 2 (2022): International Journal of Multidisciplinary Sciences and Arts, Article December More Issue