BULLET : Jurnal Multidisiplin Ilmu

Pengaruh Arus Kas Operasi Dan Laba Akuntansi Terhadap Tingkat Keuntungan Saham

Ika Nurlailatul Laifah, Kusuma Adi Rahardjo, Imam Supriadi, Gusti Muchran Noor — Thu, 31 Oct 2024 00:00:00 +0000

This research aims to examine the influence of Operating Cash Flow and Accounting Profit on the level of stock profits because in reality there are several differences between the relationship between each variable and the level of stock profits for consideration by potential investors before investing in shares. This research uses a quantitative approach with secondary data as a source of information. The theory used is signal theory. The independent variables in this research are Operating Cash Flow and Accounting Profit, while the dependent variable in this research is the stock profit rate. The population in this study was 99 companies. This research uses a purposive sampling technique with a sample of 31 companies and produces observation sample data of 93 companies in the period 2020 – 2022. The analysis technique used is Statistical Product and Service Solutions (SPSS) version 25. The results of this research show that Operating Cash Flow has an effect positive effect on stock profit levels, while accounting profits have a negative effect on stock profit levels. Simultaneously, these two independent variables influence the level of stock profits. It is hoped that potential investors and issuers will always pay attention to liquidity as one of the highlights when considering stock investment.

Evaluasi Pelatihan Jarak Jauh Business English I Pada Balai Pendidikan Dan Pelatihan Keuangan Denpasar

Efi Dyah Indrawati, Jamila Lestyowati — Fri, 08 Nov 2024 00:00:00 +0000

Distance Training (PJJ) of Business English I is intended to improve the competence of Ministry of Finance employees to use English in carrying out organizational tasks and functions, especially in conducting business conversations and practicing basic business writing. This study aims to evaluate the effectiveness of PJJ Business English using the Kirkpatrick Evaluation Model Level 1 (Reaction) and Level 2 (Learning). The evaluation is used to obtain the participants’ satisfaction and their skills improvement in English. The research method used is a mixed method. Quantitative data were obtained through participant satisfaction surveys at the Reaction level and pre-post-test results at the Learning level. Qualitative data were collected through in-depth interviews to explore participants' experiences and perceptions of the training. The results showed that participants were satisfied with the training with an average high level of satisfaction. At the Learning level, there was a significant increase in participants' business English skills, such as understanding business terms and written communication skills. These findings indicate that distance training of Business English I is effective in improving participant competence. The implications of the results of this study can be a reference in the development of more structured distance training on business English that is tailored to the needs of participants.

Implications of AI on Cardiovascular Patients’ Routine Monitoring and Telemedicine

Arbaz Haider Khan, Hira Zainab, Roman Khan, Hafiz Khawar Hussain — Thu, 14 Nov 2024 00:00:00 +0000

Cardiovascular and chronic disease management and treatment are started to incorporate Artificial Intelligence gradually into cardiovascular telemedicine and remote monitoring. Through the use of AI technologies, patients are much benefited, and at the same time, it promotes improvement in patients, examination, and continuous monitoring. Since the use of AI forefront in its role as a monitoring technique, predictive analytics, risk factors and detail personal medication in zone of cardio vascular diseases, this paper dwells on one how cardio vascular care is evolving with experimental use of AI. It also describes the limitation and challenge of AI use, for instance, around data privacy, legal regime and data quality, and AI moral decisions such as the disposition of openness and trust. Nevertheless, the current demands require future development in cardiology –telemedicine with the use of artificial intelligence in prescriptive and predictive cardiology based on precision medicine, machine learning, and genomic as well as electronic health records data. Therefore, the following aspects should be addressed to overcome the present challenges to the effective functioning of AI in the healthcare segment of cybersecurity threats, data connections, and accessibility. Therefore, the paper’s conclusion about the subject AI obversive points to the potential for a full-scale revolution in the sphere of cardiovascular care with regards to the patient’s outcomes and accessibility and effectiveness on the international level under conditions of further regulation as well as technological enhancement.

Leveraging Artificial Intelligence and Big Data: A Comprehensive Examination of Workforce Performance Enhancement, Fraud Detection in the Petroleum and Banking Sectors, Healthcare Innovations, and Ethical Considerations in Information Management Systems

Alexandra Harry , Ali Khan — Sat, 16 Nov 2024 00:00:00 +0000

In a time of swift technology development and growing data quantities, businesses in a variety of industries are realizing how important it is to boost employee performance, increase operational efficiency, and prevent fraud. The impact of employee training and development on productivity, the use of Block chain and artificial intelligence (AI) in healthcare, the application of successful fraud detection techniques in the banking and petroleum industries, and the optimization of SQL databases for big data workloads are the four main topics covered in this thorough analysis. The results highlight how crucial it is to fund staff training initiatives designed to develop competencies and promote an environment of lifelong learning in order to propel organizational success. The combination of Block chain technology with artificial intelligence (AI) has the potential to revolutionize patient-centered care and secure data management in the healthcare industry, improving both operational efficiency and health outcomes. Advanced technologies like machine learning and big data analytics, which offer strong defenses against the growing threat of fraudulent activities, are becoming more and more important in the banking and petroleum industries for detecting fraud. Effective management of big data workloads requires optimizing SQL databases using strategies like indexing, partitioning, and in-memory processing, which guarantees quick access to crucial insights. All of these observations demonstrate how training, technology, and operational strategies are intertwined in negotiating the intricacies of the modern business environment. In addition to strengthening their resilience, organizations that take proactive measures to address these issues will set themselves up for long-term growth and innovation in a setting that is becoming more and more competitive.

Tingkat Keterampilan Passing Control Futsal Peserta Ekstrakurikuler Sekolah Menengah Kejuruan Negeri 1 Lelea

Faiz Azhar Saifuddin, Mochamad Zakky Mubarok, Yudhi Kharisma — Mon, 11 Nov 2024 00:00:00 +0000

The purpose of this study is to find out Skill Level of Futsal Passing Control Extracurricular Participants futsal Vocational High School 1 Lelea. The research method used in this study is a descriptive research method. The population and samples in this study were 20 students at SMKN 1 Lelea. The sampling technique is using purposive sampling, the research used by this study. Futsal Passing Control Skills Test. The result of this study was passing control with a good category of 9 students 45%.

Analisis Rancangan Tata Letak Fasilitas Toko Roti A Dengan Pendekatan Activity Relationship Chart (ARC), Total Closeness Rating (TCR) Dan Ongkos Material Handling (OMH)

Tiara, Surya Perdana, Atikah — Wed, 20 Nov 2024 00:00:00 +0000

A's Bakery has an inadequate facility layout, which reduces productivity and service quality. To improve operational efficiency and enhance movement efficiency in the store, the facility layout must be reorganized. All areas and spaces in A Bakery, including the display, cashier, kitchen, toilet, storage, and dining area, are included in the primary data of this research. This research uses the Activity Relationship Scheme (ARC) and Total Closeness Rating (TCR) for data processing. The results of the Total Closeness Rating (TCR) calculation show the order of development priorities, with TCR values of 192 for the display area, 110 for the kitchen, 110 for the cashier, 97 for the dining area, 92 for the warehouse, and 6 for the restroom. Based on distance calculations and material handling costs, it was found that the initial distance results decreased from 1,398.00 to 840.1 and the material handling cost calculation results decreased from 2,255,742.91 to 1,355,543.37, this can make bakery A effective and efficient based on the layout of existing facilities. The result of this calculation forms a layout solution, which includes block templates, suggested alternative layouts, and optimal layouts.

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)

Nada Maulidah Fitria, Rio Armanda Agustian, Sintong Arion Hutape — Thu, 21 Nov 2024 00:00:00 +0000

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.