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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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Synergizing AI and Healthcare: Pioneering Advances in Cancer Medicine for Personalized Treatment Abdul Mannan Khan Sherani; Murad Khan; Muhammad Umer Qayyum; Hafiz Khawar Hussain
International Journal of Multidisciplinary Sciences and Arts Vol. 3 No. 2 (2024): 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.v3i01.3562

This paper investigates how Artificial Intelligence (AI) is changing the field of cancer medicine. It is organized into nine major sections that illustrate the profound effects of AI on different aspects of cancer care. Starting from the early phases of the disease, AI shows how it can transform conventional diagnostic methods by providing quick and accurate analyses of medical imaging, pathology slides, and genetic data. The paper then goes into the era of personalized cancer therapies, highlighting the ways in which AI helps to customize treatment based on individual genetic and molecular profiles. Finally, the paper discusses the smart revolution in healthcare, which is driven by AI integration, highlighting the impact of AI on diagnosis precision, treatment optimization, and resource allocation. Moreover, the story delves into how AI is being incorporated into healthcare outside of diagnosis and treatment, including areas like predictive modeling, ongoing monitoring, and after-treatment care. AI has the capacity to revolutionize cancer medicine by improving current practices and fostering innovation in clinical research, diagnosis modalities, and treatment planning. The paper highlights the revolutionary boundaries that AI has created, including liquid biopsies, virtual tumor boards, and the speeding up of drug discovery processes. The narrative weaves a thorough overview of AI's transformative journey in cancer care, offering insights into its current impact and the promising possibilities that lie ahead.

How is Translation Learning Through the Application of the Cooperative-Contrastive Model? Ade Rahima; Erlina Zahar; Arif Rahim; Zuhri Saputra Hutabarat
International Journal of Multidisciplinary Sciences and Arts Vol. 3 No. 1 (2024): 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.v2i2.3563

The present research aims to verify the implementation of a cooperative-contrastive model that can overcome students’ difficulties in translating texts from English into Indonesian. The study was conducted by a lecturer-researcher who involved 31 students who took Translation II subject. The duration of the research was two months and took place at the English Education program of Batanghari University. The main finding of the research is that the contrastive-cooperative model does not boast promising results in overcoming students' difficulties in translating texts from English into Indonesian. On the contrary, the approach lends itself to new problems in the students' translation. Hence, the lecturer-researcher tried to overcome the difficulties by training the students with some techniques, such as substitution, description, expansion, and transposition.

Looking at Financial Performance, Analysis of its Effect on Share Prices Yunan Surono; Jonner Simarmata; Yasir Riady; Yati Yati; Heni Pratiwi; Zuhri Saputra Hutabarat; Benar Sembiring
International Journal of Multidisciplinary Sciences and Arts Vol. 3 No. 1 (2024): 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.v2i2.3564

This study aims to determine and analyze the effect of financial performance on stock prices in pharmaceutical sub-sector companies on the Indonesia Stock Exchange for the period 2014 – 2023. This study uses financial performance as an independent variable with indicators of Current Ratio (CR), Quick Ratio (QR), Cash Ratio (CashR), Debt to Asset Ratio (DAR), Debt to Equity Ratio (DER), Fixed Asset Turn Over (FATO), Inventory Turn Over (ITO), Total Asset Turn Over (TATO), Gross Profit Margin (GPM), Net Profit Margin (NPM) and Return On Equity (ROE). Stock price as a variable is tied to the stock price indicator (HS). Data and facts obtained from the issuer's financial statements, stock prices and financial performance have considerable and significant differences in the study period. The analysis tool uses the Smart Partial Least Square (PLS) 3.0 software program. The results showed that financial performance variables with FATO and TATO indicators affect stock price variables, while other financial performance indicators, namely CR, CashR, DAR, DER, GPM, ITO, GPM, ITO, NPM, QR and ROE are not able to construct financial performance variables.

Low Grade Coal Quality With Up Graded Brown Coal Technology Myson Myson
International Journal of Multidisciplinary Sciences and Arts Vol. 3 No. 1 (2024): 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.v2i2.3595

The aim of this research is to increase the calorific value of coal. In this way, coal which has a calorific value of 3500 kCal/kg can be increased to 6500-7000 kCal/kg. Apart from that, by carrying out this up grading, a number of volatile meters will disappear as a result of the heating and pressure process. The knock-on impact is an increase in the economic value of coal and thus the selling price will be more competitive. After the data was collected, the data was analyzed using descriptive methods. The descriptive method is used to describe the upgraded brown coal (UBC) process. Findings that can be obtained in this research include: 1) Potential company profits can be increased, 2) Increased local government income through taxes, 3) Many mining areas can be exploited, 4) Reduction of unemployment by expanding employment opportunities in the mining sector, 5) Reducing environmental damage by mining power by mining wisely. 6) Reducing environmental pollution due to the combustion process. 7) With this process, investment in the coal mining sector can be increased. This research concludes that the economic value of low quality coal will increase and the profits that can be obtained will be better.

Electronic Court (e-court) at the Sarolangun Religious Court Masriyani Masriyani; Tresya Tresya; Nella Octaviany Siregar; Muhammad Roihan Ibrahim
International Journal of Multidisciplinary Sciences and Arts Vol. 3 No. 1 (2024): 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.v2i2.3603

This research aims to analyze the E-Court justice system at the Sarolangun Religious Court, using empirical juridical research methods, which prioritize field data as main data and library materials as supporting data. Data collection techniques are carried out through interviews and literature studies of the data needed in the analysis process. The results of this research are a description of the implementation of the E-Court system at the Sarolangun Religious Court and an analysis of inhibiting factors and opportunities for its development. From the description of the discussion, it can be concluded that the implementation of the system is not yet fully effective and is less popular with users, this is because the understanding of the e-court system is not yet fully understood by users. And it is constrained by application systems that use the internet network, so network factors also influence the e-court system process.

Percentage And Intensity Of Stick Cancer (Phythotora Palmivora. Butler) On Cocoa Plants (Theobroma Cacao) And Its Influence On Dry Cocoa Bean Production (Kg) Yuza Defitri; Ridawati Marpaung; Ahmad Reza
International Journal of Multidisciplinary Sciences and Arts Vol. 3 No. 2 (2024): 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.v3i1.3604

This study aims to determine the intensity and percentage of P. palmivora stem canker disease and identify the types of disease that occur on cocoa plant stems (Theobroma cacao) as well as the influence of the intensity and incidence of stem canker on stem canker disease. production of cocoa beans (T. cacao). The method used in this research is the observation method, the procedure for determining the research location was carried out by means of purposive sampling. The results of the research showed that the sample plants that were attacked by stem cancer showed symptoms of attack such as brown, purplish red stems, no holes, wet skin texture and black spots like rot. The highest percentage of stem cancer attacks was on plantation 3 at 37.78% and the lowest percentage of stem cancer attacks was on plantation 1 at 11.11%. The highest intensity of stem cancer attacks was on plantation 3 at 17.33% and the lowest intensity of stem cancer attacks was on plantation 1 (maintained) with an attack percentage of 6.39%. The results of observations on cocoa plant stem samples found a type of disease belonging to the Phytophthora palmivora fungus group at research locations 1, 2 and 3.

Investigation of Toxic Metals Pollution in Water, Sediment and Fish at Al-Hodeidah city, Red Sea Coast of Yemen Abdulghany Hameed Ahmed; Mokhtar Al-Abyadh; Fares M.S Muthanna
International Journal of Multidisciplinary Sciences and Arts Vol. 3 No. 2 (2024): 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.v3i01.3662

The discharge of industrial waste and sewage is unequivocally the primary cause of toxic metal pollution in the Red Sea. This study centers on the detrimental impact of these human activities on the coastal ecosystem. We did an investigation because there was no available data on the levels of hazardous metals in the Red Sea Coast of Yemen. This study analyzes the average levels of toxic metals - Pb, Cd, Hg, and As - in water, sediments, and various fish organs including muscle, liver, and gill. Acquired from Al-Hodeidah city, situated on the Red Sea Coast of Yemen. Examples of water and debris have been gathered at nine different locations. Four fish species (Lethrinus mahsena, Epinephelus areolatus, Thunnus tonggol, and Sphyraena jello) were acquired from local commercial fisherman in Al-Hodeidah city between 2022 and 2023. Pb, Cd, Hg, and As levels were tested in water at 0.053-0.105, 0.006-0.008, 0.006-0.008, and 0.007-0.009 mg/l respectively. In sediment, the levels were 75.883-77.059, 2.380-2.495, 0.011-0.028, and 0.091-0.109 ?g/g dry weight for Pb, Cd, Hg, and As respectively. Levels of toxic metals in fish tissue (?g/g dry weight) vary as follows: Pb 0.031-0.357, Cd 0.018-0.146, Hg 0.019-0.082, and As 0.044-0.121 ?g/g dry weight in muscle; Pb 0.058-1.466, Cd 0.057-0.700, Hg 0.009-0.044, and As 0.011-0.074 dry weight in gills; and Pb 0.049-0.999, Cd 0.047-0.705, Hg 0.051-0.186, and As 0.065-0.198 ?g/g dry weight in liver cells. Comparing data from local and international studies along with global and local contamination standards, it is clear that pollution concentrations in Yemen are currently lower than the established limits

Big Data and Java are integrated with machine learning Anis Ahmed Qazi; Ehsan Abbas
International Journal of Multidisciplinary Sciences and Arts Vol. 3 No. 2 (2024): 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.v3i1.3741

This in-depth investigation explores the revolutionary nexus of Java, Big Data, and Machine Learning (ML), clarifying the innovations and synergies that result from their integration. The voyage commences with a summary of the past, following the growth from Java's fundamental function in high-level development to the revolutionary influence of Big Data frameworks such as Apache Hadoop and Apache Spark. The story then delves into the fundamentals of machine learning in Java, highlighting its adaptability, rich library support, and crucial role in building strong ML pipelines. The investigation delves into the transformative power of Big Data frameworks, highlighting the distributed file system of Hadoop and the in-memory processing capabilities of Spark. We observe the significant effects of this convergence on a variety of industries through real-world case studies, from e-commerce personalized suggestions to fraud detection in banking. The insights gained from these implementations highlight how crucial it is to use ML models with ethical considerations, interdisciplinary cooperation, and ongoing learning. The following sections cover the nuances of data preprocessing, including the use of Java in ETL workflows, scalable feature engineering using Big Data frameworks, and data quality assurance via transformation and cleansing. ML model deployment is the major focus, along with an exploration of the Java runtime environment, micro services architecture, and crucial aspects of model robustness monitoring and maintenance. The investigation concludes with a focus on case studies and success stories that demonstrate the real-world effects of this convergence in sectors like e-commerce, finance, and healthcare. These real-world examples highlight the accomplishments of companies like Netflix, Uber, Airbnb, and others and provide insightful information about how well integration works to accomplish a range of business objectives.

Socioeconomic, Psychological, and Informational Dynamics in Shaping American Public Opinion Perceptions on Climate Change. Jude Chukwuebuka Ugwuoke
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.v3i3.3752

Climate change remains one of the most pressing challenges of the 21st century, invoking a wide spectrum of public opinions and attitudes. In the United States, sociopolitical, economic, and educational factors influence the public's perception of climate change and its science. This study examines the complexities of American public opinion on climate change by analyzing the relationship between various socio-demographic variables and three specific perceptions: belief in the occurrence of climate change, support for a carbon tax, and the convincingness of climate science. Utilizing logistic and linear regression models on survey data, this study identifies significant predictors for each climate change perception metric. The results indicate that political party affiliation, particularly Republican identification, is inversely related to the belief in climate change and the persuasiveness of climate science. Conversely, educational attainment correlates positively with the belief in climate change and support for carbon taxation, suggesting that higher education levels foster greater acceptance and proactive attitudes towards climate policy. Gender analysis revealed that males are less inclined to find climate science convincing, highlighting the need for gender-sensitive communication strategies. Interestingly, regional factors showed negligible influence on climate change perceptions, challenging common assumptions about geographical determinants. This study contributes to the discourse on environmental policy and public engagement by delineating the demographic contours of climate change belief systems in the U.S., offering insights for targeted educational and communication strategies to bridge the ideological divide and enhance public consensus for climate action.

Anticoagulant Medications: A Comparative Review of Aspirin, Warfarin, Heparin, and Apixaban Hamza Khalifa Ibrahim; Areej Muftah Mohammed; Amal Muftah Abdalaziz; Rahma Alfetury Alside; Huda Muftah Masoud
International Journal of Multidisciplinary Sciences and Arts Vol. 3 No. 2 (2024): 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.v3i1.3755

Anticoagulant drugs play a role, in preventing and treating blood clotting disorders. This article offers an in depth look at four prescribed anticoagulants; aspirin, warfarin, heparin and apixaban. We delve into how they work, when they are used recommended doses, how they are processed in the body, side effects and the need, for monitoring. Moreover, we compare the effectiveness, safety profiles and practical considerations of each medication to assist healthcare providers in making informed treatment choices. By grasping the features of these anticoagulants medical professionals can enhance treatment outcomes while reducing the chances of bleeding issues.

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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

Abstract

Abstract

Abstract

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Abstract

Abstract

Abstract

Abstract

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