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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 294 Documents
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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

Abstract

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.
Use of Machine Learning to predict patient developing a disease or condition for early diagnose Moazzam Siddiq
International Journal of Multidisciplinary Sciences and Arts Vol. 1 No. 1 (2022): International Journal of Multidisciplinary Sciences and Arts, Article August 20
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v1i1.2271

Abstract

Machine learning algorithms have shown promise in predicting the likelihood of a patient developing a disease or condition. Early diagnosis of diseases such as cancer, diabetes, and cardiovascular diseases can improve the patient's outcomes and quality of life. In this paper, we review the current state of machine learning algorithms for disease prediction and discuss their potential applications in clinical practice. We start by discussing the types of data used for disease prediction, including clinical data, genetic data, and imaging data. We then review the different types of machine learning algorithms used for disease prediction, including logistic regression, decision trees, random forests, and deep learning. We discuss the advantages and limitations of each algorithm and provide examples of their applications in disease prediction. Next, we discuss the challenges associated with implementing machine learning algorithms in clinical practice, such as data privacy concerns and the need for high-quality data. We also discuss the ethical considerations associated with the use of machine learning algorithms for disease prediction. Finally, we highlight the potential benefits of using machine learning algorithms for disease prediction, including improved patient outcomes, reduced healthcare costs, and personalized medicine. We conclude that machine learning algorithms have the potential to revolutionize disease prediction and early diagnosis, but further research is needed to address the challenges associated with their implementation in clinical practice.
The Effect of Water Weed (Pistia stratiotes) Bokashi on The Growth of Pakcoy (Brassica rapa L.) Marlita Herlin Makaruku; Vilma Laurien Tanasale; Esther Kembauw; Anna Yuliana Wattimena; Nureny Goo
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.v2i1.2289

Abstract

Fertilizers are very important nutrients added to plants. Bokashi fertilizer is an organic fertilizer that is very useful when applied to plants because it contains beneficial microorganisms that are able to provide plant nutrients through the recycling process and form a soil structure that is suitable for plant growth. This study aimed to determine the growth of pakcoy (Brassica rapa L.) by the application of water weed (Pistia stratiotes) bokashi. The research method used a Randomized Block Design (RBD) of two factors with three replications. The treatment factors consisted of water weed (Pistia stratiotes) bokashi doses of P0, P1, P2 and P3 (0, 10, 20, and 30 ton.ha-1), and bokashi time application of T1, T2 and T3 (14 days before planting, 7 days before planting, at the same time as planting). The size of the plot is 1 m × 1 m and in 1 plot there are 12 plants. Data observed in this study consisted of growth variables analysed using Analysis of Variance and continued with the Duncan’s Multiple Range Test (DMRT) at ? = 5%. Results of this study showed that the dose of bokashi water weed (Pistia stratiotes) treatment was 20 ton.ha-1 (P2), bokashi time application was 7 days before planting (T2), and the interaction gave a very significant effect on all growth observation variables including plant length, number of leaves, and area leaf.
HAMLET-BASED NUTMEG CULTIVATION AND PRODUCTION SYSTEM IN WEST SERAM DISTRICT, MALUKU, INDONESIA Anna Yuliana Wattimena; Marlita Herlin Makaruku; Asri Subkhan Mahulette; Martha Amba; Esther Kembauw
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.v2i1.2300

Abstract

Most of the nutmeg cultivation systems in Maluku are smallholder plantations. Agroforestry has long been developed in Maluku for generations known as dusung. Dusung can increase farmers' income continuously because the harvest is done weekly, monthly, yearly. The problems faced by farmers in Maluku regarding the productivity potential of nutmeg plants are caused by factors such as plant age, plant cultivation techniques and conventional processing. Based on these problems, a study was conducted to obtain data and information about hamlet-based nutmeg cultivation systems and productivity in Kairatu Barat District. The data and information are useful in the context of improving hamlet-based nutmeg cultivation systems in Kairatu Barat District, West Seram Regency in the future. The research uses survey methods and direct observation in the field. The selection of respondents was carried out by purposive sampling. Respondents amounted to 32 farmers. Sampling was carried out using Stratified Random Sampling, strata were determined based on the number of nutmeg plants per farmer and samples were taken randomly from each farmer. Data collected in the form of primary and secondary data. The research was carried out during the 2022 harvest season. The results of the research indicated that the cultivation system and production of nutmeg in West Kairatu District (Kamal village, Nuruwe, Lohiatala) is classified as low. Due to the number of nutmeg plants that produce began to decline. the seeds used as seeds still come from sweeping seeds. Control of Plant Destruction Organisms is carried out only when the plants start producing and fertilization is never done. Overall, the farmers in the research location cultivate hamlet-based nutmeg plants.
IDENTIFICATION OF BROADLEAF WEEDS IN MATURE COCONUT PLANTATIONS IN TIAL VILLAGE, CENTRAL MALUKU REGENCY, MALUKU PROVINCE, INDONESIA Vilma Laurien Tanasale; Esther Kembauw; Asri Subkhan Mahulette; Marlita Herlin Makaruku; Nureny Goo
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

Abstract

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

Abstract

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; Kelik Sussolaikah
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

Abstract

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.
Exploring the Transformative Potential of Technology in Overcoming Educational Disparities Ahmad Ali
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.v2i1.2559

Abstract

The function of technology in fostering fair access to high-quality education and closing educational gaps. The main objective is to give a thorough overview of the role that educational technology plays in establishing inclusive and productive learning settings, as well as the difficulties it faces. The essay is broken up into a number of sections that explore various facets of technology integration in education. The relevance of technology as a driver for fair educational possibilities is emphasized in the first section, which explores the idea of bridging educational differences. It emphasizes the necessity of using technology-driven solutions to address inequalities in access, resources, and learning outcomes. The sections that follow examine various facets of technology integration. Personalized learning, connecting students from around the world via virtual platforms, overcoming resource limitations, equipping instructors with technology, gauging the success of technological interventions, and exploring future views in educational technology are some of these themes. Using pertinent research, examples, and case studies, each part offers a thorough treatment of the subject. The paper addresses how technology-enabled individualized learning techniques can meet a range of learning demands and improve educational experiences for all students. It also emphasizes how virtual learning environments could link students from all around the world, promoting collaboration and intercultural understanding. The report also looks at how technology may assist digital assessment and feedback, improve access to educational resources, and offer cost-effective ways to address resource limitations. It also looks at how technology integration strengthens teachers' pedagogies, supports professional growth, and streamlines administrative work. The article also underlines how crucial it is to evaluate how technology might be used to bridge gaps in educational attainment. The discussion centers on issues including accessibility, equity, bridging the achievement gap, teacher professional development, and long-term sustainability as it addresses the evaluation of technology interventions using quantitative and qualitative assessment approaches. The article examines promising developments in educational technology, such as gamification, data analytics, social and emotional learning, artificial intelligence, virtual and augmented reality, mobile learning, and block chain technology. It talks about how they could influence how education develops in the future, create inclusive classrooms, and get kids ready for success in the digital era. Overall, this essay offers a thorough examination of how technology might help close gaps in educational attainment. It draws attention to the transformative impact of technology in fostering fair access, improving learning opportunities, and empowering students and educators. Policymakers, educators, and stakeholders can cooperate to create an educational environment that is more inclusive and fair by utilizing the opportunities provided by technology.
Revolutionizing Solar Energy: The Impact of Artificial Intelligence on Photovoltaic Systems Ashif Mohammad; Farhana Mahjabeen
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.v2i1.2599

Abstract

Embracing Nature's Therapeutic Potential: Herbal Medicine Ahmad Jamal
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.v2i1.2620

Abstract

This study investigates the significant relationship between nature and human well-being, proposing for the incorporation of nature-based therapies into modern healthcare procedures. In a society dominated by technology and fast-paced living, the need to reconnect with nature and embrace its therapeutic power has never been more pressing. The paper emphasizes the inherent connection between humans and the natural environment, drawing on evolutionary history and scientific research that indicate nature's positive impact on mental, emotional, and physical health. The concept of nature-based therapies, such as ecotherapy, horticultural therapy, forest bathing, wilderness therapy, and nature meditation, lies at the heart of this holistic approach to healing. Each of these therapies uses natural ingredients to promote healing and well-being, responding to individual requirements and developing a sense of connection with the natural environment. The report delves into the unique benefits of each nature-based therapy, emphasizing its usefulness in lowering stress, increasing mood, enhancing cognitive function, and strengthening the immune system. This comprehensive approach to healthcare, with a focus on prevention, personalized care, and root-cause investigation, is in sync with the concepts of nature-based therapies. The incorporation of herbal medicine into modern healthcare supplements this approach by providing natural and gentle healing therapies that target the full person—mind, body, and spirit. The report also underlines the significance of the biophilia concept, which emphasizes humans' inherent affinity for nature. Embracing nature's therapeutic potential not only increases personal well-being but also instills a sense of responsibility for environmental protection and sustainability. The greater connection individuals create with nature through nature-based therapies fosters a heightened respect for the natural environment, encouraging a dedication to safeguard it for future generations. As the future of healthcare develops, embracing nature's therapeutic potential serves as a light of hope and transformation. The incorporation of nature-based therapies into current healthcare procedures provides an inclusive and holistic approach that improves conventional treatments, empowers patients in their healing path, and promotes general well-being.

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