cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Perani Rosyani
Contact Email
journal.mediapublikasi@gmail.com
Phone
+6288210433859
Journal Mail Official
admin@journal.mediapublikasi.id
Editorial Address
Permata Tangerang, Pasar Kemis Kab. Tangerang
Location
Kota tangerang,
Banten
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
 47   48   49   50   51 
Evolution of Cryptographic Techniques: Overview of the Existing Approaches and Trends of the Development Abid, Noman
BULLET : Jurnal Multidisiplin Ilmu Vol. 1 No. 03 (2022): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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

Abstract

Cryptography remains to be one of the oldest and indispensable principles of today’s information protection disciplines because it gives indispensable tools for protecting content and messages during the communicational and data transferring actions. This review surveys extant research on possible cryptographic methods and their applications in different fields comprising of conventional key-based and new-complexity key based cryptography, cryptography based on Block chain, Homomorphic Cryptography, Post Quantum Cryptography and other types of cryptography. New complicated threats, emergence of Quantum computing, AI, block chain, and 5G, IoT are posing new threats and challenges and opportunities in cryptography. In this paper, some of these areas to key issues include: problems such as vulnerability of the traditional cryptographic system to brute force attacks, the impact of new developments in quantum computing to current encryption security systems, and the problem of key management, and side channel attacks. This article addresses how cryptography is used in protecting emerging technologies such as how light weight cryptography is incorporated to IoT peripherals, how works cryptography is applied to block chain or crypto currencies, and artificial intelligence systems. While with the arrival of quantum computing capable of threatening the security of classical cryptographic methods, the focus of the cryptographic community shifts to post quantum options like QKD and lattices. The next section of the review also talks about directions for future development direction of cryptography, and emphasizes the importance of creating new cryptographic algorithm that caters for the demand of scalability efficient and security to meet the increasing development in technologies. Cryptology is still needed for protection of relevant information and for proving secure communication for the age of integrated and computer-oriented society. The further evolution of intricate cryptographic methods and their integration into the advanced technologies is useful to combat new threats and guarantee safety of information that is to be necessary in the following years.
Discourse Markers Used in Argumentative Texts of English Department Student in Bali Ayu Dhyana Andika Mulia Putri, Desak; Agung Sri Rwa Jayantini, I Gusti
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 6 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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

Abstract

Discourse markers improve writing quality and text comprehension. This paper aims to shed lighter on how to assess students' knowledge of Discourse Markers. The purpose of this study was to determine the ability of students to compose or opinions using discourse markers as a support in conveying their opinions and arguments. Furthermore, the purpose of this study is to demonstrate the significance of using discourse markers in determining the quality of written work. The qualitative method with observation technique was used in this study, and the data collected were 10 argumentative essays written by sixth semester students on the topic of bird conservation. Following the collection of data, the researcher began to observe all of the data by reading all of the essays, identifying discourse markers, and finally classifying discourse markers based on the existing types based on Fraser (1999) and Martinez (2004) theories. Conclusive markers, contrastive markers, elaborative markers, exemplifier markers, inferential markers, and reason markers are all found in the essays. The most common types are elaborative markers, which have a total of 221 occurrences and discovered some misused in the use of appropriate discourse markers While participants demonstrated an awareness of using discourse markers to construct coherent compositions, the study concludes that there are areas where they can enhance their ability to use discourse markers effectively and appropriately to improve and logically connect their writing.
Developments in Artificial Intelligence for Petroleum Industry Fraud Detection and cybersecurity: An Extensive Analysis and Learnings from Animal Behavior George Edison
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 5 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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

Abstract

This thorough analysis looks at how animal behavior insights and artificial intelligence (AI) can be combined to improve fraud detection in a variety of sectors. Novel techniques for detecting and thwarting fraudulent actions are created by utilizing cutting-edge AI technologies and taking cues from resilient and adaptable animal behaviors. The study explores the convergence of AI and animal behavior, reviews the historical development of AI in fraud detection, and emphasizes the creation and application of hybrid models. Important case studies from industries including banking, e-commerce, healthcare, telecommunications, and energy show how these integrative solutions can be successfully used in real-world situations. The paper also discusses upcoming technologies, industry-specific innovations, and the significance of ethical considerations as future prospects in AI-driven fraud detection. To guarantee the appropriate use of AI, privacy concerns, bias and fairness, openness and accountability, and regulatory compliance are carefully considered. This work highlights the possibilities and difficulties of this multidisciplinary approach to fraud detection by presenting a multifaceted picture of AI and animal-inspired methods. This will help researchers, practitioners, and policymakers make informed decisions.
Penegakan Hukum Atas Penyalahgunaan Letter Of Credit Sebagai Alat Pembayaran Dalam Transaksi Ekspor-Impor Susi Irianti, Y.D.W.
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 6 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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

Abstract

This study was conducted with the aim of analyzing, explaining, and understanding the operational risks of banks on the issuance of L/C, identifying the development of crime rates through L/C and law enforcement on the misuse of L/C as a means of payment in export-import transactions. The type of research used is normative juridical, namely to examine legal concepts related to law enforcement on the misuse of letters of credit as a means of payment in export-import transactions. The results of this study reveal that the presence of fictitious documents as a means of disbursing L/C clearly contains evil motives coloring bank break-ins, as a bank that is involved in the international trade area (International track Jurvice), operational risks have certainly been calculated in advance. Risk Management should understand the potential risks. The risks that can occur in connection with the involvement of banks as guarantors and mediators between sellers and buyers from different countries. Of course it is also riskier to provide dual facilities to one customer as an importer and exporter customer at the same time. Therefore, law enforcement on the misuse of letters of credit is the application of the principle of knowing the customer which is the embryo of the principle of maximum prudence in order to minimize crime in the banking sector.
Analisis Kasus dan Strategi Optimalisasi Pada UMKM SYF EAU DE PARFUME : Study Kasus Untuk Meningkatkan Kinerja Usaha Setiawan; Aldy Khusairi, Mhd; Alvin, Mhd; Mardhiyah, Ainun
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 6 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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

Abstract

Micro, Small, and Medium Enterprises (MSMEs), especially SFY Eau de Parfume, have an important role in supporting the Indonesian national economy. MSMEs contribute more than 60% to Gross Domestic Product (GDP) and provide employment for more than 90% of the workforce in Indonesia. SFY Eau de Parfume is one of the players in the fragrance industry that produces high-quality perfumes at affordable prices. However, this company faces various challenges in facing tight competition, such as rapid changes in consumer preferences, limited capital, limited access to technology, and the need to create innovative marketing strategies. This study aims to identify internal and external factors that affect the performance of SFY Eau de Parfume in facing competition in the perfume market. The focus of the analysis includes challenges in marketing, operational, and product innovation aspects. The results of this study are expected to provide applicable strategic recommendations for SFY Eau de Parfume to improve competitiveness, operational efficiency, and business sustainability. Through the use of digital technology and consumer-based marketing approaches, companies are expected to expand market reach, understand consumer needs more deeply, and develop innovative products to meet evolving consumer preferences.
Healthcare Meets AI: Innovations, Applications, and Ethical Considerations Khan, Murad; Sherani, Abdul Mannan Khan
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 5 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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

Abstract

AI is transforming healthcare through enhancing diagnostic capability, treatment planning, and drug discovery or even in the management of care organizations. AI technologies are used for differential diagnostics, individual management of patients, increasing the effectiveness of treatment in different branches of medicine and optimizing the work of health care systems. The use of machines in diagnostics, risks and outcomes forecast, and treatments like individualized cancer therapies, are already being seen to provide realistic value and enhance the quality of patients’ lives and yield as well as the pace of scientific discovery faster. The author believes that similar to creating new drugs, applying Artificial Intelligence in drug discovery process and other Healthcare aspects shows how beneficial it can be. Nevertheless, people can use AI extensively in healthcare practices, appearing to come up with certain ethical concerns. These are among the emerging issues: safe and secure data and, in particular, avoiding the risks of bias within artificial intelligence models, and respondent to transparency of decisions made by artificial intelligence. To reduce the unfair treatment of certain populations AI systems should be trained on diverse data and the data used to make decisions should be understandable. However, questions arising from patient self-determination, and especially informed consent can also be a challenge to such innovations in this regard hence the need to handle with care. This review aims at reviewing current AI advances and health care, review the ethical issues arising from these gadgets and lastly the importance of a responsible use. The things to do to augment its possibilities and avoid potential risks will entail retaining patient sovereignty; governing the impact of AI systems to be fair; and deem AI accountability. With involvement of stakeholders from the healthcare, informational technology, and the government, AI has the potential to revolutionize health care service delivery for improved efficiency and social justice.
From Data to Decisions: The Impact of AI on Healthcare Systems Khan, Murad; Sherani, Abdul Mannan Khan
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 4 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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

Abstract

Artificial Intelligence (AI) has gradually permeated almost all aspects of healthcare delivery emerging as a critical enabler for continued advancement. Let us investigate literature on AI in the subject domain of healthcare which comprises diagnostics, clinical decision, medicine customization and health care regulation systems. Machine learning deep learning, natural language processing are improving the clinical analytics by improving diagnosis, treatment, and care. Furthermore, also integrally involves AI in activities and tasks that aimed at improving the facility’s operations such as the distribution of resources, patients’ traffic and numerous administrative duties. This paper acknowledges that there is a great potential in the use of AI in the healthcare sector, but there arises important ethical questions around the use of AI such as data ownership, fairness of the algorithm, and fears around transparency and accountability. Remaining issues affecting its growth include regulatory issues since the existing frameworks cannot cope with the emerging AI innovations. The future of adopting AI has potentialities on early detection of diseases and illnesses, discovery of new drugs, tele-medicine, and in the international health sector. AI will help with increasing the availability of healthcare for patients in the regions where the necessary facilities are scarce and advancing the creation of individual treatment plans. But for that to happen, it is important to solve ethical, regulating and data problems connected with AI deployment. The successful implementation of AI in HC has possibilities to achieve better patient outcomes, decrease costs and general advancement of quality and accessibility of HC for everyone in the world.
Navigating the AI-Driven Healthcare Era: A Review of Key Developments Khan, Murad; Sherani, Abdul Mannan Khan
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 5 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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

Abstract

The application of Artificial Intelligence (AI) in the provision of healthcare has brought some tremendous changes in medical practices; achieving breakthroughs in diagnostics, treatment and healthcare management. Artificial Intelligence in particular is improving diagnosis identification, disease identification and diagnosis, managing administration information, etc. Chronic disease management: Using artificial intelligence tomorrow’s sicknesses today, using your genes, environment, and even lifestyle/personal choices to deliver more effective cures with minimal side effects. However, several ethical questions are attached to the use of AI in healthcare such as data control, fairness of the algorithms used, and user control and thus for any organization to adopt the use of AI, the following questions should be appropriately answered. Nonetheless, there is a great deal of promise for the application of AI in healthcare including: the alleviation of healthcare inequalities, enhancement on the clinical decision making processes, positive promotion of prevention and patient-centered care delivery. Depending on the further advancement of AI the future in the field of healthcare will include new creations in a predictive analysis of a patient’s condition and in automated systems for a personalized treatment that will improve the operating quality and accessibility of the options for medical services. However, technology and Artificial Intelligence in specifically have the potential of transforming the industry completely than envisaged especially if there shall be set down stringent ethical consideration and research collaboration in this domain by health care professional, technologist, and policymakers. At the end, the purpose of AI in health care is to make health care smarter and superior with the help of human intelligent thus making health care systems efficient, fair towards all patients.
Artificial Intelligence in Healthcare: Current Trends and Emerging Technologies Sherani, Abdul Mannan Khan; Khan, Murad
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 6 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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

Abstract

Many fields, and especially the healthcare sector that is many folds complex, are currently on the brink of disruption by AI. This piece examines the present and emerging kinds and applications of AI in the healthcare context, such as diagnostic, precise, prescription and virtual assistant IPs. Several aspects of applying AI technologies have already made significant impacts on the healthcare sector such as: Huge amount of data, correct diagnosis, treatment decisions for every specific case. However to advance and apply AI fairly and efficiently some issues that faced AI included integration, no standardization, financial issues, and privacy and bias problem. Depending on the recommendation of artificial intelligence such as machine learning, deep learning, natural language processing, and robotic surgery a long-awaited expectation comes with the issue of the improvement of the rate of health practice. The appropriateness of the AI for the betterment of health care in the future has been magnificently observed in PM, WI, and CT. Wearable technology and more, importantly, the constant surveillance by artificial intelligence can be a much better method in many such circumstances. Nevertheless, there are controversies connected with such a trust issue and the adoption among health care providers as main difficulties which need to overcome. AI presents the health sector with the prospects of a new style of, novel, optimal and affordable care regardless of the difficulties stated above. Thus, this paper concluded that for healthcare proactively benefit from AI, this sector requires fixing the technical, ethical and legal issues with an aim of improving the patients’ diagnosed and the health systems globally.
A Comprehensive Review of Information Assurance in Cloud Computing Environments Neoaz, Nahid
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 6 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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

Abstract

IA is information that relates to the safety or insecurity of data and service that reside in the cloud computing spaces. Due to the benefits that are enshrined by cloud technologies organizations are using the cloud technologies as solutions to scalability, costs and flexibility while addressing issues of data privacy and security threats and compliance. It is for this reason that in this paper, the following aspects will be addressed; information assurance and cloud computing and other elements of information assurance such as CIA triad, authentication and non-repudiation. It also defines risk at the present time to mean data breach, insider threats, and Distributed Denial of Service (DDoS) attack among others; and how each of these organizations can pursue risk management strategies to such risks. In addition, this paper examines the data privacy aspect and the legal regulation of and concerns with cloud security in the shared responsibility model. By going through the organization information assurance plan, it is asserted that risk identification, assessment and monitoring, and information asset protection such us data encryption, and access should be acknowledged. Thus it becomes possible to implant sound security solution into the cloud computing solutions/ So by emulating on the best practices in support of the security/organizations gain all the benefits of Cloud computing. This paper gives a detailed insight of how Information assurance in cloud environment in a world that is going digital can be handled.

Page 49 of 59 | Total Record : 589

 47   48   49   50   51 

Filter by Year

2022 2025


Reset
Filter By Issues
All Issue Vol. 4 No. 5 (2025): BULLET : Jurnal Multidisiplin Ilmu (INPRESS) Vol. 4 No. 4 (2025): BULLET : Jurnal Multidisiplin Ilmu (INPRESS) Vol. 4 No. 3 (2025): BULLET : Jurnal Multidisiplin Ilmu Vol. 4 No. 2 (2025): BULLET : Jurnal Multidisiplin Ilmu Vol. 4 No. 1 (2025): BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 6 (2024): BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 5 (2024): BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 4 (2024): BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 3 (2024): BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 2 (2024): BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 1 (2024): BULLET : Jurnal Multidisiplin Ilmu Vol. 2 No. 6 (2023): BULLET : Jurnal Multidisiplin Ilmu (INPRESS) Vol. 2 No. 5 (2023): BULLET : Jurnal Multidisiplin Ilmu Vol. 2 No. 4 (2023): BULLET : Jurnal Multidisiplin Ilmu (INPRESS) Vol. 2 No. 3 (2023): BULLET : Jurnal Multidisiplin Ilmu Vol. 2 No. 2 (2023): BULLET : Jurnal Multidisiplin Ilmu Vol. 2 No. 1 (2023): BULLET : Jurnal Multidisiplin Ilmu Vol. 1 No. 06 (2022): BULLET : Jurnal Multidisiplin Ilmu Vol. 1 No. 05 (2022): BULLET : Jurnal Multidisiplin Ilmu Vol. 1 No. 04 (2022): BULLET : Jurnal Multidisiplin Ilmu ( Agustus-September) Vol. 1 No. 03 (2022): BULLET : Jurnal Multidisiplin Ilmu Vol. 1 No. 02 (2022): BULLET : Jurnal Multidisiplin Ilmu Vol. 1 No. 01 (2022): BULLET : Jurnal Multidisiplin Ilmu More Issue