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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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IDENTIFICATION OF BROADLEAF WEEDS IN MATURE COCONUT PLANTATIONS IN TIAL VILLAGE, CENTRAL MALUKU REGENCY, MALUKU PROVINCE, INDONESIA Tanasale, Vilma Laurien; Kembauw, Esther; Mahulette, Asri Subkhan; Makaruku, Marlita Herlin; Goo, Nureny
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.v2i1.2302

Coconut (Cocos nucifera L.) is a species to be cultivated in Mollucas. Recently, the population of coconut plants has to be decreased as a result of broad leaf weeds that impede the growth of coconut, especially in the nursery phases. The identification of broad leaf weeds is the first step in controlling weeds. However, until now, there has been no research on the influence of broad leaves weed species is important as the base of accurate weed control. This research on broad leaf weed composition in the coconut planting area is important as the base of accuracy is based on Summed Dominance Ratio (SDR) at the production plant in Tial Village, Village Central Mollucas District. This research uses the weed survey method type quadrat method with a sample plot size of 1 m x 1m. The result shows that 13 species of broad leaves weed, 12 families in the areal coconut planting in Tial village

Analysis of the Level of Satisfaction of Darwinbox Application Users at PT Nippon Indosari Corpindo Tbk Using the End User Computing Satisfaction (EUCS) Method Azdy, Rezania Agramanisti; Putra, Hermawan Kurniansyah
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%.

Dark Web and Cyber Scams: A Growing Threat to Online Safety Arthan, Nagaraju; Kacheru, Goutham; Bajjuru, Rohit
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.v2i1.2395

Internet as of now can be considered, and often is, a part of people’s lives, a continuation of its existence; the same can be said about Dark Web: Indeed, when I first applied the analysis to the opportunity sample, with the blink of an eye, it can be readily deduced that this type belongs to the high opportunity type as well as the high threat type. Where in its so-called objectives of private investigations it has assigned the alibi for the mask of its authorizing it now becomes an opened invitation for unlawful activities. This papers therefore seeks to identify the dark Web and some of the positive attributes and some of the negative externalities that are inevitably associated with any attempted formal classification of access to and control over browsers. The following are threats that exist within the platform in the above said area described as attacks, exploits and malwares. They also categories type of kind’s offence in the Dark Web in other to let more people know about existence of the areas and how to protect yourself.

Distance Learning in Teaching Mathematics: Perspective and Challenges of Primary School Teachers Abri, Samah; Hamadi, Asma; Mazroui, Maryam; Sadi, Maryam; Tashtoush, Mohammad
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 khan, Abdullah
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; Tashtoush, Mohammad
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.

Decision Support System for Selecting House using Analythical Hierarchy Process Zubaedah, Reza; Loppies, Stanly Hence Dolfi; Xaverius, Fransiskus
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.v2i1.2490

Houses are the primary needs of everyone other than clothing and food needs. When consumers choose a house criteria that are used such as facilities, payment methods, type of house, land area, number of rooms, bathrooms, kitchens, living rooms, models, prices, developers and housing names. Sometimes choosing a house is difficult because of the many criteria that you always want to meet in accordance with consumer standards. The existence of a system is expected to help consumers provide alternatives in accordance with the choice of criteria as input and output systems in the form of alternative sequences of results from the system. The use of the Analytical Hierarchy Process (AHP) method solves a complex situation that is not structured into several components in a hierarchical arrangement, by giving subjective values ??about the relative importance of each variable, and determining which variables have the highest priority to influence the results. Data collection methods used are literature studies, interviews and observations. The test method is a test for interface functionality and application questionnaire. The results obtained by this system are in the form of a decision support system that can provide an alternative selection of houses that can be used as a comparison with the choice of criteria according to consumer

The Danger of Predator Journal Publication for Researchers Himawan, Himawan; Sussolaikah, Kelik
International Journal of Multidisciplinary Sciences and Arts Vol. 2 No. 3 (2023): International Journal of Multidisciplinary Sciences and Arts, Article July 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v2i1.2503

Scientific publications in the form of scientific journals are one way for researchers to share information related to the results of research that has been done, besides that scientific publications can also be used to build the reputation of researchers both in the academic and research fields. However, there is a danger of publication which until now has not been known by novice researchers who have just entered the world of scientific publications, namely publication in predatory journals. This is an important thing that needs to be known well and also must be watched out for by novice researchers. This is because predatory journals are scientific journals that are not of good quality, where the journals that are managed are only for financial gain through expensive publication fees and do not pay attention to aspects of research quality and also a good peer review process in good governance. scientific journals. In researching and writing this journal, researchers discuss some of the dangers associated with publishing predatory journals for researchers in terms of decreasing academic reputation, publication costs and also falsification of research data published in a predatory journal. In addition, researchers also look at the specific and clear characteristics of journals that can be categorized as predatory journals.

Transforming Healthcare: Harnessing the Power of AI in the Modern Era Sanjay Patil; Harish Shankar
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.v2i1.2513

Patient care and medical research are changing as a result of the application of artificial intelligence (AI) in healthcare. To fully realize the potential of AI technology, collaborative relationships between AI developers and healthcare providers are essential. This study examines the advantages and prospects of collaborating with healthcare professionals to improve healthcare outcomes. Personalized medicine, clinical decision support systems, healthcare process optimization, patient engagement, and ethical considerations are just a few of the areas where AI and healthcare practitioners are collaborating. Significant progress can be made by fusing the knowledge of healthcare professionals with AI's powers in data analysis, pattern recognition, and predictive modeling. Advancements in diagnosis and therapy are a major area of collaboration. Healthcare practitioners can gain from enhanced diagnostic precision, early illness identification, and exact treatment planning by integrating AI algorithms with patient data. Enhanced patient outcomes and improved healthcare delivery are the outcomes. The development of personalized medicine techniques is also made possible by collaboration. Healthcare professionals can customize treatment strategies based on unique genetic markers, biomarkers, and clinical factors by utilizing AI algorithms to examine patient data. This collective effort results in improved treatments and treatment outcomes. Clinical decision support system development is facilitated by collaborations between AI and healthcare professionals. By analyzing patient data, medical literature, and clinical recommendations using AI technology, these systems offer real-time guidance to medical personnel. Clinical decision support systems increase the effectiveness of diagnosis, the choice of treatment, and patient safety by strengthening decision-making abilities. In healthcare settings, collaboration also emphasizes process improvement, increasing effectiveness, and resource management. Artificial intelligence (AI) algorithms can examine operational data and patient flow patterns to spot inefficiencies, resulting in the simplification of administrative work, enhanced patient scheduling, and better resource management. Costs are reduced, operational effectiveness is raised, and patient experiences are improved as a result. Patient participation and experience are another facet of partnership. Artificial intelligence-enabled virtual assistants and catboats offer individualized support, respond to patient questions, and deliver health information. These resources improve patient satisfaction, ease of access to healthcare, and patient empowerment in health management. AI and healthcare practitioners working together must take ethical issues and legal compliance very seriously. It is crucial to protect patient privacy, guarantee data security, and abide by ethical standards and regulatory frameworks. Collaborations can improve healthcare results and preserve patient trust by taking these factors into account. AI and healthcare providers working together could change how patients are treated, promote medical research, and enhance patient outcomes. Partnerships that make use of AI technologies and integrate them with healthcare knowledge promote innovation, improve patient engagement, optimize diagnostic and therapeutic procedures, and ensure ethical and legal compliance. AI and healthcare professionals work together continuously to enhance patient outcomes and the standard of care, shaping the future of healthcare delivery.

Integrating AI with Edge Computing and Cloud Services for Real-Time Data Processing and Decision Making Md Emran Hossain; Md Tanvir Rahman Tarafder; Nisher Ahmed; Abdullah Al Noman; Md Imran Sarkar; Zakir Hossain
International Journal of Multidisciplinary Sciences and Arts Vol. 2 No. 4 (2023): 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.v2i1.2559

Connecting Multimodal AI and Edge computing for better real-time decision making: a paper on their synergy Edge computing is a solution that allows to overcome latency issue and processing data closer to the source, Multimodal AI on the other hand integrates and analyzes different types of data (images, audio, sensor data, etc.) to provide richer insights. Such a combination has a strong significance in autonomous vehicles and healthcare monitoring applications which require timely decision making with informed decisions. However, there are some inherent limitations to edge devices in computational power, energy expense, and data confidentiality. The paper examines several optimization methods such as model pruning that reduces model size, quantization that decreases the limit of precision, and domain specific AI accelerators to increase the processing speed to counteract these difficulties. The purpose of these strategies is to get a complex AI model to deploy on an edge device with limited computing resources at the cost of minimum performance. Combining Multimodal AI with edge computing can potentially transform data driven real-time decision-making applications across various fields. As Development of hardware and software never stops, formulated boundaries continue to expand, enabling more intelligent and responsive systems.

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Home Page

OAI Link

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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