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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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Block chain-Based Solutions for Improved Cloud Data Integrity and Security Md Tanvir Rahman Tarafder; Arafath Bin Mohiuddin; Nisher Ahmed; Md Abu Shihab; Md Farhad Kabir
BULLET : Jurnal Multidisiplin Ilmu Vol. 1 No. 04 (2022): BULLET : Jurnal Multidisiplin Ilmu ( Agustus-September)
Publisher : CV. Multi Kreasi Media

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Abstract

The evolution of cloud computing, however, has not been all smooth sailing, and it still struggles with data security and trusted computing to this day. Alternative solutions like data integrity tests and secure multi-party computation is often accompanied by computational complexity and scalability concerns. Block chain technology has been developed as an abstract setting of decentralized distributed computing, and applied to secure storage and computation in various cloud environments. In response, we propose a distributed virtual machine agent model that uses the mobile agent technology to create a cooperative and multi-tenant environment for the verification of trust in the data. This model assures the data are stored and monitored reliable way and provides a verification method that is the base of a Block chain based integrity protection mechanism. Using this model, we create a Block chain model that utilizes Merkle hash trees in order to create unique file hashes. Smart contracts monitor changes to this data and will notify users of any tampering. Additionally, in a block-and-response manner, it provides a strong cloud data integrity verification solution.
Perlindungan Hukum Terhadap Identitas Anak Sebagai Pelaku Tindak Pidana Pembunuhan Berencana Pada Pers (Studi Putusan PN Mentok Nomor 2/Pid.Sus-Anak/2023/Pn Mtk) Maulidah Fitria, Nada; Armanda Agustian, Rio; Arion Hutape, Sintong
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 5 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

The Mentok District Court ruling No. 2/Pid.Sus-Anak/2023/PN MTK addressed the case of premeditated murder committed by a minor. Legal findings indicated that the child's identity as the perpetrator had been made public in a media article published by a press organization. This study aims to examine the legal protection of a child's identity as the perpetrator of premeditated murder in the press, as well as the criminal responsibility of the press for disclosing the identity of a child who face legal proceeding. The study applies a juridical-normative approach with a focus on case analysis. The findings reveal that the legal protection of a child's identity as the perpetrator of premeditated murder in the press is regulated by several provisions in the Juvenile Criminal Justice System Law and the Child Protection Law. These regulations generally stipulate that the identity of children involved in legal proceedings, whether as perpetrators, victims, or witnesses, must remain confidential. The press entity that publishes the identity of such children can be held accountable for violating children's rights as stipulated in the Child Protection Law. Furthermore, press entity that breaches code of ethics may face criminal sanctions if their actions result in the violation of children's legal rights as outlined in the Juvenile Criminal Justice System Law and the Child Protection Law.
Artificial-Intelligence Aerodynamics for Efficient Energy Systems: The Focus on Wind Turbines Nasir, Sheharyar; Zainab, Hira; Hussain, Hafiz Khawar
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 5 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

The incorporation of AI in wind energy systems has transformed the design, operation and management of wind turbines, wind farms increasing their effectiveness, resilience and viability. This paper explores the transformative impact of AI-driven technologies across various aspects of wind energy, focusing on five key areas: Lear two main areas: in turbine engineering, advanced concepts such as fluid dynamics and blade design, while in computer sciences, major components consist of machine learning for performance assessment of turbines, monitoring of turbines on real-time basis as well as for the purpose of maintenance, and optimization of wind farms. In the specific application of improving the efficiency of turbine blade design and function, AI continues to be useful as machine learning is used in creating new and more efficient and long lasting blades while dynamic real time monitoring systems are used in making adjustments based on external conditions. AI-based predictive maintenance enables for mechanical problems identification before they evolve, thus decreasing the time a machine spends out of service and operational expenses. Also, AI enhances the design of wind farm, control of wake and load balance to enhance efficiency of wind electricity generation. It allows for a more effective intro of energy into the larger grid and hydrates therefore increasing the availability of renewable energy with stability. Based on this paper, the future of AI remains evident in future enhancement of wind energy systems, hence guaranteeing sustainable energy, efficiency, and cost-effectiveness in energy solutions for the overall energy transformation.
Penegakan Hukum Tindak Pidana Perdagangan Barang Yang Tidak Berlabel Bahasa Indonesia: (Studi Kasus Perdagangan Makanan Yang Tidak Berlabel Bahasa Indonesia Di Kabupaten Bangka) Cahyani, Intan; Toni; Armanda Agustian, Rio
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 5 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

This research focuses on law enforcement against criminal acts of trading food that is not labeled in Indonesian, with a case study in Bangka Regency. This research is motivated by the importance of using Indonesian language labels on food products in accordance with the provisions of Indonesian laws and regulations, especially to protect consumers from information that is misleading or difficult to understand. The aim of this research is to analyze the effectiveness of law enforcement carried out by law enforcement officers in Bangka Regency regarding the trade in food that is not labeled in Indonesian, as well as identifying factors that hinder and support law enforcement. The research method used is an empirical juridical method, with a case study approach. Data was collected through interviews with law enforcement officials, as well as through analysis of relevant legal documents. The results of the research show that law enforcement against this criminal act is still not optimal, as indicated by the fact that there are still food products circulating without Indonesian labels. Factors that hinder law enforcement include a lack of human resources, low legal awareness among business actors, and limitations in supervision. Meanwhile, supporting factors include collaboration between institutions and increasing public awareness through outreach. This research concludes that further efforts are needed to improve law enforcement, including increasing the capacity of law enforcement officers and educating business actors regarding the importance of compliance with food label regulations.
Hubungan Faktor Social Area (Kebisingan), Faktor Individual Area (Karakteristik Individu), Dan Faktor Work Area (Beban Kerja Dan Hubungan Interpersonal) Terhadap Stres Kerja Pada Pekerja Departemen Spinning Di PT. Acryl Textile Mills, Tangerang Tahun 2024 Aprilia Kurniawan, Fadillah; Saputra, Atang; Riyanto, Agus
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 5 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

Work stress is a pressure that arises from the work environment and individual characteristics of workers that can affect the thought process, way of working, emotions and physical condition of a person. If work stress occurs at a high level and is not properly controlled, it can reduce worker productivity. Work stress can be influenced by several factors, including social area factors, individual area factors, and work area factors. This study aims to find out "The Relationship of Social Area Factors (Noise), Individual Area Factors (Individual Characteristics), and Work Area Factors (Workload and Interpersonal Relationships) to Work Stress in Workers of the Spinning Department at PT. Acryl Textile Mills, Tangerang in 2024". The discussions in this study are the social area (noise), individual area (age, education level, marital status, and working period), work area (workload and interpersonal relationships). This study is a type of analytical survey research in the form of a cross sectional study design. Data collection was carried out by measuring noise intensity and questionnaires in workers related to social area (noise), individual area (age, education level, marital status, working period), work area (workload and interpersonal relationships) in the Spinning Department at PT. Acryl Textile Mills. This study was analyzed using a statistical test using the Chi-square method. Based on the results of research from 81 workers in the Spinning Department of PT. Acryl Textile Mills, the results of workers who experienced work stress were obtained, namely, 67 workers (82.7%) experienced mild stress and 14 workers (17.3%) experienced moderate stress. Based on the results of bivariate analysis, it can’t be shown that there is a significant relationship between individual area factors (level of education) and work stress with p values (0.101) > 0.05.
Uji Variasi Konsentrasi Koagulan Kitosan Hasil Pemanfaatan Limbah Cangkang Kepiting Bakau (Scylla Sp) Dalam Penurunan Kadar TSS Pada Limbah Cair Tahu Maharani, Zulfia; Caniago, Lestari; Syarifuddin; Tugiyo
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 5 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

Biocoagulant chitosan from mangrove crabs (Scylla Sp) was applied in the coagulation and flocculation process of tofu wastewater treatment. The concentration variations used were 650 ppm, 620 ppm, 590 ppm, 560 ppm, and control with 3 replications. The research results show a decrease in TSS levels in tofu wastewater after treatment (p-value=0.00001). The TSS level before treatment was 1255 mg/L, and after treatment, the highest average was at a concentration of 650 ppm, which became 691 mg/L (45%), and the lowest average decrease was at a concentration of 560 ppm, which became 833 mg/L (33%).
Advancing Healthcare, Petroleum, Chatgpt, Fraud Detection, and Cybersecurity: The Transformative Role of Artificial Intelligence Ali, Mohammad
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 5 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

The results found are that AI is quickly changing the industries with increasing prominence in areas such as health, petroleum fraud identification and cybersecurity. In healthcare, AI to lift the accuracy of diagnosis, of treatment plans and of drug development, directly enhancing patients’ quality and outcomes. AI is set to reform the way petroleum’s sector identifies frauds and prevents them by detecting fraud cases, ensuring transparency and integrating with other technologies such as block chain. Likewise, AI is taking a more strategic stance within cybersecurity as threats are detected, analyzed and projected, wherein its use presents organizations with powerful preventative solutions for their data and structures. Nevertheless, with the growing use of AI in these sectors there arises important ethical questions that need to be answered. Such include issues to do with privacy, security of data, fairness of algorithms and the inherent requirement of human supervision. Health care related artificial intelligence systems should respect patient rights to privacy and avoid compromise of such rights as well as ensure that it does not have pre – coded biases affecting operations of vulnerable patients. Surveillance, accountability and transparency themes hence play major roles in analyzing fraud detection in the petroleum sector for a secure fair process. In cybersecurity, there is a problem of proportioning privacy with the accessibility of security; another challenge is controlling adversarial attacks on the AI systems; or maintaining human supervision in the decision-making processes dominated by AI. Chatgpt sophisticated natural language processing skills are making it a flexible AI tool that is revolutionizing a number of industries and spurring innovation. All these industries – healthcare, petroleum and cybersecurity – handle large amounts of data that is sensitive that must be collected, stored, and processed in real time to make decisions. By extension and as AI continues to mature, there is still much that AI can do for these industries, but the key to this is going to be the establishment of more concrete and measurable ethics and rules of operation. In this abstract, the prospect of using Artificial Intelligence in healthcare, petroleum fraud, and cybersecurity is presented, along with the focus on the ethical issues in this process for proper and fair AI implementation.
Transformative Applications of Chatgpt: Transforming the medical sector, the oil industry, financial embezzlement, and digital risk protection Hussain, Ibrar
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 5 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

Chatgpt is a novel NLP model currently in the process of revolutionizing numerous industries in delivering effective and revolutionary opportunities for improving productivity, decision-making, and interaction. In healthcare, Chatgpt enhances the patient experience, assists in clarity of diagnosis, streamlines operational duties, and hastens creating groundbreaking medical discoveries thereby enhancing the delivery of healthcare in every aspect. In fraud detection, it improves security systems through the detection of patterns of potential security breaches, compliance and regulation system improvement. Chatgpt is advantageous for the petroleum industry in improving the execution of processes, safety measures and innovations, and generally the drive towards more sustainable endeavors. To summarize, Chatgpt enhances cybersecurity threat identification, automates response to cyber threats, and educates users on Computer systems enhancing an organizations protection against cyber threats. Yet, as we noted, Chatgpt provides a great many benefits and therefore its effective application poses a number of challenges, including data privacy, model accuracy, and ethical issues. If organizations implement Chatgpt into these sectors with proper regulation and the right precautions and supervision from people, organizations will reap the benefits of its result and embark on revolutions in various sectors of industry that are equally important to those sectors. As AI technology deepens, Chatgpt will take more importance in determining the future of technology to industries and make them more flexible, productive, and environment-friendly.
Faktor-Faktor Yang Berhubungan Dengan Stres Kerja Pada Perawat Di Ruang Rawat Inap Jiwa RSKD Duren Sawit, Kota Jakarta Timur Tahun 2024 Pramono, Budi; Paramananda, Ainundita
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 5 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

Stres kerja merupakan masalah global yang memengaruhi berbagai profesi di negara maju dan berkembang. Berdasarkan Data Persatuan Perawat Nasional Indonesia (PPNI) tahun 2006 menyatakan sebanyak 50,9% perawat di Indonesia yang bekerja mengalami stres di tempat kerja. Perawat jiwa menghadapi tantangan unik berbeda dengan perawat umum yang dimana perawat jiwa harus menangani pasien dengan gangguan mental yang sering kali menunjukkan perilaku tidak terduga dan berpotensi berbahaya selain itu beban kerja yang tinggi akibat interaksi sehari-hari dengan pasien merupakan faktor penyebab stres kerja. Penelitian ini merupakan studi deskriptif dengan desain Cross-Sectional berjudul "Faktor-faktor yang Berhubungan dengan Stres Kerja pada Perawat di Ruang Rawat Inap Jiwa RSKD Duren Sawit Kota Jakarta Timur Tahun 2024." Populasi penelitian ini adalah 59 perawat dengan sampel berjumlah 38 responden pada shift pagi dan sore. Penelitian ini mencakup observasi dan wawancara dengan responden. Hasil penelitian untuk melihat hubungan antara beban kerja dengan stres kerja didapatkan nilai beban kerja (p = 0,002) sehingga di katakan ada hubungan signifikan. Sedangkan antara karakteristik, hubungan interpesonal, dan prevalensi perilaku agresif pasien dengan stres kerja didapat nilai usia (p = 0,653), jenis kelamin (p = 0,233), pendidikan (p = 1,000), masa kerja (p = 0,478), hubungan interpersonal (p = 0,395), dan prevalensi perilaku agresif pasien (p = 0,667) tidak ada hubungan dengan stres kerja pada perawat di ruang rawat inap jiwa RSKD Duren Sawit Tahun 2024. Kesimpulanya, stres kerja pada perawat di ruang rawat inap jiwa RSKD Duren Sawit Tahun 2024 dapat di pengaruhi oleh beban kerja.
An Analysis of Phishing Attacks: Information Technology Security: Cybercrime and Its Solutions Abid, Noman
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 5 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

Phishing is one of the most primary and persistent threats when it comes to cybersecurity, and is grounded on deception tropes which try to pry information from individuals or organizations or get unauthorized access to their systems. Phishing, which is discussed in this review, circles around every trick the criminals employ, the collection of intelligence by the attackers and the countermeasures which may be applied to contain the attacks. There are different types of phishing such as spear-phishing, phishing have become popular so have AI-based attacks which shows that one method is not sufficient anymore. The organizations hence need to implement several layers of defense like; Information user awareness, two-factor or mult-factor technique, superior email filtering technique and rigid enforcement of the email verification procedures like SPF, DKIM and DMARC. New chances will be expected from the methods like Machine Learning, Behavioural Biometrics, and Block Chain for efficient detection and control of the phishing. Zero Trust security model, which only periodically validates each access request to reduce the vulnerability of successful cyber-attacks has notes on how to use it. Likewise, there is more sharing of intelligence and working across industry in real time very central in tackling phishing threats. At present, there is a heightened appreciation of better user security, the dangers that require anticipative measures, continuous monitoring, and popularity of use. This paper emphasizes that combat against phishing requires a systematic and timely approach that incorporates technology and user awareness as well as organizational backing. As with the assistance of following what has been described here as best practices and solutions, one and everyone and every company may decrease the probability of being spoofed and the consequences of such spoofing.

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