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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 294 Documents

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Artificial Intelligence; Most growing sector of world Alexandara Harry
International Journal of Multidisciplinary Sciences and Arts Vol. 1 No. 2 (2022): International Journal of Multidisciplinary Sciences and Arts, Article December
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar

This review article provides an overview of the field of artificial intelligence (AI), including its history, types, techniques, and ethical and societal implications. The article traces the history of AI from ancient times to its formalization as an academic field in the 1950s, and its subsequent progress and setbacks. The different types of AI, including rule-based AI, machine learning, deep learning, and natural language processing, are discussed, along with the techniques used to create intelligent systems, such as neural networks, decision trees, Bayesian networks, and genetic algorithms. The article also explores the ethical and societal implications of AI, such as bias, privacy concerns, and job displacement, and the potential solutions to these challenges.

The Study of Helicobacter Pylori Bacteria Infection in Bani Waleed city -Libya Zahrah M. Eisay; Salheen Grimida; Mostafa MO Abdoarrahem; Ruqayah Ali Alnaqrat; Addokali Zobeida
International Journal of Multidisciplinary Sciences and Arts Vol. 2 No. 2 (2023): International Journal of Multidisciplinary Sciences and Arts, Article April 202
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v2i1.2245

The current study included 430 infected cases with H. pylori bacteria in Bani Waleed city, Libya. Risk factors that might have an important role in an increasing the risk of infection were studied such as drinking stimulants tea and coffee, and smoking. The samples were blood and faces and were tested using rapid test to find the infection. The percentage of infected people who drank both or one of the stimulants was 74%. Most of infected cases were young people between the ages of 25 to 36 years, with an infection rate of 35%. The study also showed that eating spices increased the risk of infection to 64%, however infection rate among men was higher than women at a rate of 55%, while the infection rate among women was 45%. On the other hand, study showed that the smoking was not significant, as 56% for smokers were infected, Also, the study indicated that there is no link between H. pylori infection and chronic diseases such as diabetes and blood pressure, as the results showed that 76% of the infected people do not suffer from any chronic diseases. It was also found that the two blood groups A and O are more prevalent among those infected with H. pylori bacteria, with a percentage of 31% for both types, followed by blood group B, with 26%, then blood group AB at 12%. More studies should be carried out to establish the risk factors and set a control plan.

Impact of knowledge management, innovation and cloud computing on research Adil Hayat; Jianhua Zhang; Ajaz Sadiq; Nibah Begum
International Journal of Multidisciplinary Sciences and Arts Vol. 2 No. 2 (2023): International Journal of Multidisciplinary Sciences and Arts, Article April 202
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v2i1.2270

This Review article delves into the intricate relationship between knowledge management, innovation, and cloud computing, and their transformative impact on research across diverse fields. Drawing upon a wide range of literature, the article critically assesses the potential of these technologies in reshaping the landscape of scientific research, social science research, business and management, and education. The review highlights key insights and findings that showcase the immense possibilities of cloud-based solutions in revolutionizing research practices, including real-time data sharing, enhanced collaboration, and seamless access to cutting-edge tools and resources. However, the article also acknowledges the complex challenges that come with the adoption and implementation of cloud-based solutions, such as data security and privacy concerns, and the high costs associated with transitioning to these technologies. Despite these challenges, the article concludes that the advantages of these transformative technologies far outweigh the obstacles and that they offer unprecedented opportunities to transform research practices, spark innovation, and catalyze groundbreaking discoveries

LEAK CURRENT DETECTOR IN LOW VOLTAGE NETWORK (JTR) SYSTEM USING ZMPT101B SENSOR BASED ON THE INTERNET OF THINGS (IoT) Luwis H. Laisina
International Journal of Multidisciplinary Sciences and Arts Vol. 2 No. 2 (2023): International Journal of Multidisciplinary Sciences and Arts, Article April 202
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v2i1.2301

Phase-to-ground leakage in low-voltage network systems can cause transformer damage due to overload. Overloading on transformers is not caused by customer usage but rather by wasted electrical energy to the ground which causes losses. If there is a current leakage, the potential difference between neutral and ground is measured to produce a voltage value. Considering that there is little written about transformer damage caused by current leakage to ground in low voltage network systems, in this research a tool is made that can detect current leakage to ground in low voltage network systems using the ZMPT101B voltage sensor based on IoT. This research is in the form of design and manufacture of a leakage current detector to ground. The method used is the Research and Development method (research and development), namely in the form of observation, literature study. The research stage starts from a literature study in the form of finding references related to research, designing tools, making tools and programs, and testing the tools that are made. Based on the results of Based on the results of the research, this tool can detect leakage current to the ground from the lowest voltage of 24.3 Volts to the highest voltage of 184 Volts so that it can be displayed on the LCD and the blynk application and the system automatically sounds a buzzer as a warning of current leakage to ground. .

Analysis of the Level of Satisfaction of Darwinbox Application Users at PT Nippon Indosari Corpindo Tbk Using the End User Computing Satisfaction (EUCS) Method Rezania Agramanisti Azdy; Hermawan Kurniansyah Putra
International Journal of Multidisciplinary Sciences and Arts Vol. 2 No. 2 (2023): International Journal of Multidisciplinary Sciences and Arts, Article April 202
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v2i1.2371

The Darwinbox Personnel Information System is one of the developments in information technology in the staffing system that is utilized by PT Nippon Indosari Corpindo Tbk to assist the work of its employees in facilitating and assisting in carrying out attendance, applying for leave, changing personal money used for office purposes (reimbursement). The purpose of this study was to determine user satisfaction with the Darwinbox application at PT Nippon Indosari Corpindo Tbk and measurements were carried out using the End User Computing Satisfaction (EUCS) method. This research was conducted at PT Nippon Indosari Corpindo Tbk on 96 respondents. The results of the calculation of the T hypothesis test obtained the value of the Content variable (X1) sig. 0.000, Format (X3) value sig. 0.000, Ease Of Use (X4) sig. 0.000 where the sig. value of 0.05 can be concluded that the independent variable (X) has no partial effect on the dependent variable (Y). Simultaneously Content, Accuracy, Format, Ease Of Use and Timeliness have a significant effect on user satisfaction and have a very strong relationship with user satisfaction with a percentage value of 82.4%.

Evaluating the Potential of Artificial Intelligence in Orthopedic Surgery for Value-based Healthcare Aftab Tariq; Ahmad Yousaf Gill; Hafiz Khawar Hussain
International Journal of Multidisciplinary Sciences and Arts Vol. 2 No. 2 (2023): International Journal of Multidisciplinary Sciences and Arts, Article April 202
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v2i1.2394

The potential of artificial intelligence (AI) to transform value-based healthcare in the area of orthopedic surgery is examined in this research. Orthopedic surgeons and healthcare systems may improve patient outcomes, increase efficiency, and alter care delivery by combining AI algorithms, cutting-edge data analytics, and novel technology. Through case studies and success stories, the article provides a thorough study of the advantages and prospects provided by AI in orthopedic surgery. These instances demonstrate how AI has been successfully applied to several facets of orthopedic surgery, including as diagnosis, planning of the surgical course, surgical navigation, postoperative care, and resource allocation. The ethical and legal ramifications of using AI are also discussed in the study, with a focus on patient autonomy, privacy, accountability, and any potential effects on the healthcare workforce. The potential applications of AI in orthopedic surgery are examined, together with developments in preoperative planning, surgical robotics, remote monitoring, predictive analytics, personalised medicine, research, and innovation. The promise of AI in orthopedic surgery is obvious, despite issues with data quality, privacy, algorithm biases, and legal constraints. The ethical and appropriate application of AI technology in orthopedic surgery has the potential to significantly enhance patient outcomes, lower complications, boost efficiency, and change the way healthcare is provided. This study lays the groundwork for future study and application in the field of orthopedic surgery by offering insightful information on the role of AI in delivering value-based healthcare.

The Future of Medicine: Harnessing the Power of AI for Revolutionizing Healthcare Alexandra Harry
International Journal of Multidisciplinary Sciences and Arts Vol. 2 No. 1 (2023): International Journal of Multidisciplinary Sciences and Arts, Article June 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v2i1.2395

Artificial intelligence (AI) has the potential to completely change how healthcare is delivered, revolutionizing the healthcare sector. Precision diagnosis, proactive disease prevention, personalised treatment plans, real-time monitoring and intervention, improved medical imaging, streamlined healthcare workflows, ethical considerations, and the potential future implications of AI in healthcare are all explored in this paper. The first section describes how precision diagnosis using AI technologies is improving diagnostic accuracy. Personalised treatment regimens and earlier disease detection are made possible by machine learning algorithms' analysis of enormous volumes of patient data. Additionally, AI makes it possible to actively prevent disease by using predictive analytics to identify those who are most likely to develop a particular condition, enabling early intervention and tailored preventive actions. The second segment focuses on how AI is transforming therapeutic approaches. AI algorithms create individualised treatment regimens by analyzing patient data, including genetics, biomarkers, and information on therapy response. This maximizes treatment efficacy and minimizes side effects. Additionally, wearable technology and remote monitoring devices powered by AI allow for real-time monitoring and intervention, improving patient safety and lowering hospital readmissions. Examines how AI has affected medical imaging. Radiologists' efficiency and accuracy in identifying anomalies are increased by deep learning algorithms' analysis of complicated medical pictures like CT scans and MRIs. As a result, diagnoses are made more quickly and accurately, allowing for quicker interventions and better patient outcomes. The fourth chapter examines how AI streamlines medical procedures. Administrative responsibilities are reduced and errors are minimized by automating operations like appointment scheduling and documentation. By offering timely support and triaging symptoms, intelligent catboats and virtual assistants increase patient involvement and happiness. The fifth segment talks with ethical issues related to AI in healthcare. In order to create and use AI algorithms responsibly, patient privacy, data security, and bias mitigation are essential. Fair and equitable healthcare practices must be ensured by ethical standards and legal requirements. The abstract wraps off with a preview of the potential effects of AI on healthcare delivery in the future. Emerging medical technologies including telemedicine, robotics, predictive analytics, and AI-assisted surgery show immense promise for revolutionizing the industry. To overcome obstacles, maximize advantages, and guarantee a human-centric approach in the integration of AI in healthcare, cooperation between healthcare practitioners, technologists, policymakers, and ethicists is essential.

Distance Learning in Teaching Mathematics: Perspective and Challenges of Primary School Teachers Samah Abri; Asma Hamadi; Maryam Mazroui; Maryam Sadi; Mohammad Tashtoush
International Journal of Multidisciplinary Sciences and Arts Vol. 2 No. 2 (2023): International Journal of Multidisciplinary Sciences and Arts, Article April 202
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v2i1.2420

This study aimed to identify the practices and challenges faced by primary school female teachers when implementing the distance learning strategy in teaching mathematics, based on two variables: number of years of service and the number of technical training courses and programs. The study sample consisted of (47) teachers from the primary school female teachers. A validated and reliable questionnaire was administered. The results showed that there are some challenges facing teachers when implementing the distance learning strategy, such as increased workload and tasks, weak and intermittent internet connectivity, and the need for greater effort compared to traditional teaching methods. The results also showed that teachers who have received a higher number of technical training courses and have fewer years of service face fewer challenges compared to newly appointed teachers who have not undergone an adequate number of technical training courses.

Transforming Healthcare through AI: Unleashing the Power of Personalized Medicine Abdullah khan
International Journal of Multidisciplinary Sciences and Arts Vol. 2 No. 2 (2023): International Journal of Multidisciplinary Sciences and Arts, Article April 202
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v2i1.2424

The healthcare sector now places a lot of emphasis on providing patients with personalized care that is catered to their unique requirements and features. A significant force behind the development and use of customized healthcare is artificial intelligence (AI). This essay examines the use of AI in personalized healthcare and how it can affect several facets of healthcare provision. The study starts out by talking about how AI is being used in diagnostics, emphasizing how machine learning algorithms and the examination of various datasets can improve diagnostic accuracy. It goes into more detail about how AI can be used to create tailored treatment plans, utilizing patient-specific data and predictive analytics to maximize therapeutic results and reduce side effects. Examined are the ethical issues surrounding AI in customized healthcare, such as data privacy, algorithmic bias, and the value of responsibility and openness. The integration of AI into clinical practice is also covered in the study, along with prospects for improving decision-making, streamlining workflow, and overall healthcare delivery effectiveness. The healthcare sector now places a lot of emphasis on providing patients with personalized care that is catered to their unique requirements and features. A significant force behind the development and use of customized healthcare is artificial intelligence (AI). This essay examines the use of AI in personalized healthcare and how it can affect several facets of healthcare provision. The study starts out by talking about how AI is being used in diagnostics, emphasizing how machine learning algorithms and the examination of various datasets can improve diagnostic accuracy. It goes into more detail about how AI can be used to create tailored treatment plans, utilizing patient-specific data and predictive analytics to maximize therapeutic results and reduce side effects. Examined are the ethical issues surrounding AI in customized healthcare, such as data privacy, algorithmic bias, and the value of responsibility and openness. The integration of AI into clinical practice is also covered in the study, along with prospects for improving decision-making, streamlining workflow, and overall healthcare delivery effectiveness.

The Synthetic Strategy and its Role to developing the Mathematical Creative Thinking Skills Hind Salem; Azaa Kindi; Maha Mohammad; Zahraa Hamad; Mohammad Tashtoush
International Journal of Multidisciplinary Sciences and Arts Vol. 2 No. 2 (2023): International Journal of Multidisciplinary Sciences and Arts, Article April 202
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v2i1.2485

This study aimed to investigate the role of the Synthetic Strategy on the development of mathematical creative thinking skills. The study sample consisted of (46) eighth-grade female students who were divided into two groups: an experimental group of (24) students taught linear equations using the Synthetic strategy, and a control group of (22) students taught using the traditional method. An experimental approach was employed, and a test for mathematical creative thinking was prepared. A pre-test and post-test were administered to both study groups, and their validity and reliability were confirmed. The Synthetic strategy was applied to teach solving linear equations. The results revealed a difference in the level of mathematical creative thinking in favor of the experimental group, and statistically significant differences were found between the mean scores of the two groups in mathematical creative thinking skills, which were attributed to the teaching strategy and in favor of the Synthetic strategy. Finally, the study recommended using the Synthetic strategy to teach linear equation and diversifying teaching strategies. It also suggested conducting further studies and research to explore the impact of different teaching strategies on the development of mathematical creative thinking skills.

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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