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INDONESIA
BULLET : Jurnal Multidisiplin Ilmu
Published by CV. Multi Kreasi Media
ISSN : -     EISSN : 28292049     DOI : -
Core Subject : Humanities, Health, Education, Social,
Humanities Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing
- Ilmu Komputer - Kemasyarakatan - Kewirausahaan - Manajemen - Ekonomi - Manajemen - Agama - Ilmu Hukum - Pendidikan - Pertanian - Sastra - Teknik - Dan Bidang Ilmu Lainnya
Arjuna Subject : Umum - Umum
Articles 589 Documents
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Transforming Healthcare: Artificial Intelligence's Place in Contemporary Medicine Shah Zeb; Nizamullah FNU; Nasrullah Abbasi; Muhammad Umer Qayyum
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 4 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

This review article explores the integration of artificial intelligence (AI) in healthcare, highlighting its potential benefits, challenges, and future directions. The main areas covered include AI's enhancement of diagnostic accuracy and efficiency in medical imaging by precision data analysis, thereby improving early detection and treatment outcomes. Notable examples of AI in action include Google's Deep Mind in retinal scans and IBM Watson Health in oncology. Artificial intelligence (AI) is revolutionizing healthcare by offering transformative advancements across various domains, from enhancing diagnostic accuracy to personalizing treatment strategies. Specific case studies illustrate the successful application of AI in various healthcare settings, including radiology, drug discovery, and patient monitoring. These examples highlight AI's impact on improving diagnostic precision, accelerating drug development, and enhancing patient care. AI accelerates drug discovery by analyzing complex biomedical data to identify potential drug candidates and predict their efficacy. Examples include Benevolent I’s work on ALS and Atom Wise’s efforts to identify Ebola antiviral compounds. AI improves patient monitoring through wearable devices and remote management systems, providing real-time insights and personalized recommendations. Examples include Fit bit’s health trackers and Living Health's chronic condition management platform. Better patient outcomes, optimized resource management, and enhanced operational efficiency are all made possible by artificial intelligence (AI). However, despite AI's potential, the healthcare industry faces a number of challenges related to the technology, including data privacy and security, bias and fairness in AI models, and integration with legacy systems. Resolving these issues is essential to the ethical and regulatory framework that governs the use of AI in healthcare. Important concerns include patient consent, accountability, transparency, and the development of appropriate regulations and standards.
AI in Healthcare: Integrating Advanced Technologies with Traditional Practices for Enhanced Patient Care Nasrullah Abbasi; Nizamullah FNU; Shah Zeb
BULLET : Jurnal Multidisiplin Ilmu Vol. 2 No. 3 (2023): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

The field of healthcare is fast changing due to artificial intelligence (AI), which presents previously unheard-of possibilities for bettering patient care, expediting medical research, and boosting the delivery of healthcare as a whole. The many facets of AI's influence on healthcare are examined in this review, with particular attention paid to drug research and discovery, personalized medicine, predictive analytics and preventive care, and ethical and legal issues. AI has made tremendous advances in personalized medicine, enabling the creation of individualized treatment regimens based on a patient's unique genetic, environmental, and behavioral characteristics. AI-powered technologies improve treatment plans and make it easier to identify genetic markers, improving the accuracy and potency of medical therapies. AI's ability to analyze large datasets has transformed predictive analytics and preventive care by enabling precise health risk projections and early detection of possible problems. By encouraging ongoing monitoring and individualized preventive care, this proactive strategy enhances both operational effectiveness and health outcomes. The process of drug discovery and development has been made more efficient by AI-driven innovations that have improved target identification, optimized compound screening, and clinical trial management. These developments speed up the release of novel medicines by cutting development time and expenses and improving the chance of a drug's beneficial effects. But there are also a lot of moral and legal issues with integrating AI in healthcare. To ensure the appropriate and fair use of AI technology, concerns including data privacy, algorithmic bias, transparency, accountability, and changing legislative frameworks need to be addressed. Sustaining patient confidence and attaining successful results depend heavily on implementing strong data protection, reducing biases, and encouraging openness.
Ritual Madduppa Baca Pada Masyarakat Islam di Desa Bulutellue Kabupaten Sinjai Abdul Rahman
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 4 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

This research aims to elaborate in depth about the madduppa reading ritual held by the Islamic community in Bulutellue Village. This research uses qualitative research methods where data is collected through observation and interviews. The collected data was then analyzed using a literature review in the form of books and journals relevant to the research topic. The results of the research show that the madduppa reading ritual is carried out as a hope that people who have died will be safe in the grave. This ritual consists of three stages, namely takzih, recitation of the Koran, and madduppa reading itself. This ritual persists to this day because people still consider it to have a function, namely strengthening solidarity, strengthening identity, and achieving peace of mind.
Green Innovations: Artificial Intelligence and Sustainable Materials in Production Shahrukh Khan Lodhi; Ahmad Yousaf Gill; Hafiz Khawar Hussain
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 4 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

This study examines the revolutionary potential of integrating artificial intelligence (AI) with sustainable materials in production through a series of case studies, featuring innovations by Adidas, Tesla, Unilever, and IKEA. These illustrations demonstrate how AI may be used to create recyclable goods, maximize material efficiency, and simplify supply chains—all of which greatly lessen the manufacturing process's negative environmental effects. The study also identifies the main domains in which these technologies are propelling improvements in operational effectiveness and environmental sustainability. Robust regulatory frameworks are required to assure the safe, transparent, and equitable implementation of AI as it becomes increasingly integrated into industrial processes. The article also highlights the need for responsible innovation by discussing the ethical and policy ramifications of utilizing AI in sustainable manufacturing, as well as the societal impact of AI on data privacy and the workforce. Lastly, the environmental effects of AI itself are discussed, emphasizing the need for renewable energy sources and energy-efficient AI systems. Through collaboration between governmental, industrial, and social sectors, artificial intelligence (AI) can be leveraged to propel environmentally and socially responsible production methods. In order to create a more sustainable and prosperous future, the paper's conclusion emphasizes the need for a balanced strategy that optimizes AI's benefits while guaranteeing moral and egalitarian outcomes. Going ahead, the report makes the case that artificial intelligence and sustainable materials will play a pivotal role in molding a manufacturing landscape that is both efficient and environmentally beneficial. However, achieving this potential will necessitate managing the dangers and difficulties that come with it carefully.
Penerapan Metode Pembelajaran Problem Based Learning Untuk Meningkatkan Pemahaman Siswa Kelas X B SMKN 1 Wewewa Barat Dalam Pengukuran Tahanan Listrik Pada Mata Pelajaran Dasar Listrik Dan Elektronika Seingo Bili, Dominggus
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 4 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

This study aims to improve the understanding of Class XB students at SMKN 1 Wewewa Barat in the Basic Electricity and Electronics subject, particularly on the topic of measuring electrical resistance, through the implementation of the Problem-Based Learning (PBL) method. This research uses a classroom action research approach with two improvement cycles. In the pre-cycle, the average student score was 68.27 with a mastery percentage of 39.29%, indicating a need for improvement in material comprehension. Cycle I applied PBL, resulting in an increase in the average score to 75.50 and a mastery percentage of 64.29%. Adjustments in Cycle II showed significant improvement, with the average student score reaching 81.77 and the mastery percentage rising to 92.86%. These data indicate that the PBL method is effective in enhancing students' understanding of electrical resistance measurement. This study recommends further implementation of the PBL method and continuous adjustments for more optimal results.
Efektivitas Pembelajaran Berbasis Proyek (Project-Based Learning) Untuk Meningkatkan Prestasi Siswa Kelas XI A SMK Negeri 1 Wewewa Barat Tahun Pelajaran 2023/2024 Pada Mata Pelajaran Pemeliharaan Mesin Kendaraan Ringan Abdul Malik, Suratman
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 4 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

This study aims to examine the effectiveness of the Project-Based Learning (PBL) method in improving student achievement in the Light Vehicle Engine Maintenance subject for Class XI A students at SMK Negeri 1 Wewewa Barat during the 2023/2024 academic year. The research was conducted in three stages: Pre-Cycle, Cycle I, and Cycle II, involving 36 students as research subjects.  In the Pre-Cycle stage, the average student score was 68.36, with a mastery percentage of 38.89%. The implementation of PBL in Cycle I showed an increase in the average score to 75.29, with the mastery percentage rising to 58.33%. Further implementation of PBL in Cycle II resulted in an even higher average score of 81.61, with the mastery percentage reaching 91.67%. These results indicate that the PBL method significantly improves student achievement in the subject studied.  This study concludes that the PBL method is effective in enhancing students' academic achievement, with a clear improvement from cycle to cycle. Although most students showed progress, there are still some who require additional guidance. The study recommends the continued implementation of the PBL method and the adjustment of strategies to assist students who have not yet achieved mastery.
Penggunaan Metode Pembelajaran Discovery Learning Dalam Meningkatkan Pemahaman Siswa Pada Mata Pelajaran Pemeliharaan Sasis Dan Pemindah Tenaga Kendaraan Ringan Di Kelas XI D SMK Negeri 1 Wewewa Barat Tahun Pelajaran 2023/2024 Mulyono, Yohanis
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 4 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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This classroom action research aims to evaluate the use of the Discovery Learning method in improving student understanding in the Light Vehicle Chassis and Powertrain Maintenance subject for Class XI D at SMK Negeri 1 Wewewa Barat during the 2023/2024 academic year. The study involved 30 students as research subjects. Data was collected through student scores and the percentage of learning mastery at each cycle: pre-cycle, Cycle I, and Cycle II.  The results showed that in the pre-cycle stage, the majority of students had not achieved mastery, with a non-mastery percentage of 60%. However, after the implementation of the Discovery Learning method in Cycle I, there was a significant improvement. The number of students achieving mastery increased to 19, with the mastery percentage rising to 63.33%.  Following improvements in teaching during Cycle II, there was an even better increase in student understanding. The number of students achieving mastery rose to 27, with the mastery percentage reaching 90%. This indicates the effectiveness of the Discovery Learning method in enhancing students' practical skills. The conclusion of this study is that the use of the Discovery Learning method in teaching the Light Vehicle Chassis and Powertrain Maintenance subject for Class XI at SMK Negeri 1 Wewewa Barat during the 2023/2024 academic year has successfully improved student performance.
Pengaruh Model Pembelajaran Treffinger Berbantuan Media Scrapbook Terhadap Keterampilan Menulis Cerita Fabel Kelas VII Yuliana; Sumardi, Aida
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 4 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

The background of this thesis writing is students’ lack writing skill ability in Indonesian language subjects, especially fable text material. In addition, the application of learning models and media that are inadequate in developing the material and activeness in the learning process. The purpose of this study was to determine the effect of the Treffinger learning model with the help of Scrapbook media on the skills of writing fable stories in class VII and the learning outcomes of students. This research was conducted at SMP Muhammadiyah 02 Rangkapanjaya, in class VII. The research method used in this study was True Experimental Design with Pretest-Posttest Group Design. The results showed the influence of the Treffinger learning model with the help of Scrapbook media on the ability of writing skills of fable stories in class VII. This is based on the results of the t-test hypothesis test there is sig 0.001 ˂ 0.05 and the value of tit 2.421˃ ttab 2.034. Therefore, Ha is accepted and H0 is rejected, meaning that there is an effect of the Treffinger learning model assisted by Scrapbook media on fable stories writing skill in class VII.
Predictive Analytics Applications for Risk Mitigation across Industries; A review Latha Narayanan Valli
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 4 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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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. All things considered, predictive analytics helps businesses to foresee possible hazards, allocate resources optimally, and take proactive steps that lead to better decision-making and increased corporate performance. Predictive analytics' capabilities will develop as technology advances, securing its place as a vital instrument for contemporary businesses that spurs productivity, creativity, and expansion.
Peningkatan Kinerja Guru Melalui Supervisi Klinis Pada Guru-Guru Di SMK Negeri 1 Kodi Utara Tahun Pelajaran 2023/2024 Seingo, Charles
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 4 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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This action research aims to evaluate the work motivation of teachers at SMK Negeri 1 Kodi Utara, focusing on the effectiveness of internal communication and the professionalism of the school principal's leadership. The research results indicate a significant increase in teacher work motivation from the pre-cycle stage to cycle II. In the pre-cycle stage, the average teacher work motivation reached 69.20, with a completeness percentage of 36.96%. Following the implementation of actions in cycle I, teacher work motivation increased to 75.73, with a completeness percentage of 65.22% and an incompleteness percentage of 34.78%. In cycle II, the average teacher work motivation reached 82.27, with the completeness percentage significantly rising to 89.13% and the incompleteness percentage dropping to 10.87%. Thus, this research indicates a continuous improvement in teacher work motivation throughout the study. The results show that enhancing internal communication and the professionalism of the school principal's leadership positively influenced teacher work motivation. The impact of this increase is reflected in improved teaching quality and a more positive contribution from teachers to student development. In conclusion, this research highlights the importance of effective internal communication and school leadership in improving teacher work motivation. These efforts result in positive changes in the school learning environment. The findings confirm that appropriate support and well-planned strategies play a crucial role in enhancing work and learning quality in educational institutions.

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