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BULLET : Jurnal Multidisiplin Ilmu
Published by CV. Multi Kreasi Media
ISSN : -     EISSN : 28292049     DOI : -
- 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
Equity and Artificial Intelligence in Surgical Care: A Comprehensive Review of Current Challenges and Promising Solutions Ahsan Ahmad; Aftab Tariq; Hafiz Khawar Hussain; Ahmad Yousaf Gill
BULLET : Jurnal Multidisiplin Ilmu Vol. 2 No. 2 (2023): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

The use of artificial intelligence (AI) has become a viable method for improving surgical care equity. In order to better understand the effects of AI in surgical settings, this paper focuses on five key areas: promising AI applications, bias-reduction tactics, and ethical AI implementation, effects on patient outcomes and access to surgical services, and future directions for equitable AI in surgical care. The first part of the article looks at the exciting uses of AI in surgery. It emphasizes how AI technology may boost decision-making, increase surgical precision, and improve patient care routes. Better surgical outcomes, individualised treatment plans, and streamlined procedures can all result from the incorporation of AI algorithms, which will ultimately help patients from a variety of groups. The solutions for reducing bias and fostering equity in AI-enabled surgical care are covered in more detail in the second part. In order to reduce biases, it emphasizes the value of diverse and representative datasets, algorithmic transparency, and fairness metrics. Healthcare disparities can be decreased by proactively addressing bias, and AI-enabled surgical care can help ensure fair outcomes for all patient populations. The final segment is devoted to removing obstacles in the way of deploying moral AI procedures in surgical settings. It places a strong emphasis on the necessity of open governance structures, informed consent procedures, privacy protection, accountability, and ongoing ethical assessment. Accountability is guaranteed through transparent governance systems, which also offer a way to address moral issues and potential biases. The implications of AI for patient outcomes and access to surgical services are covered in the fourth part. It emphasizes how AI technologies have the potential to enhance decision-making, improve surgical results, and streamline patient care routes. It also covers issues with bias, privacy, and ethics that must be taken into account to enable responsible and fair implementation. The fifth segment examines potential future directions and surgical care opportunities for egalitarian AI. Strong data infrastructure, advances in deep learning and machine learning, explainable AI, AI-driven surgical automation, tackling health disparities, and the creation of ethical and legal frameworks are some of the themes it highlights. These regions have enormous opportunity to improve patient outcomes and advance fair access to surgical care. Enhancing equity is made possible by the incorporation of AI in surgical care. Healthcare organizations can enhance surgical results, lower inequities, and guarantee equitable access to surgical services by utilizing AI technologies. To be responsible and equitable, a deployment must address bias, adhere to ethical standards, and take into account how AI is developing. To maximize the advantages of AI in surgical care while advancing equity and patient-centered care, future research and collaboration are crucial.
Determinan Uang Kartal Yang Beredar Di Indonesia Sebelum Dan Setelah Penerapan QRIS Angger Prasetyan Adi; Thomas Andrian; Tiara Nirmala; Nurbetty Herlina S.; Ukhti Ciptawaty
BULLET : Jurnal Multidisiplin Ilmu Vol. 2 No. 2 (2023): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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This study aims to analyze the impact of variables related to electronic money transactions, national income, deposit rates, and the implementation of QRIS as a payment method on the demand for currency in Indonesia from 2015 to 2022. The data used in this study consist of quarterly secondary data from January 2015 to December 2022 in Indonesia. The data processing method employed is the Error Correction Model (ECM) analysis.The findings of this study indicate that the GDP variable has a positive and significant effect on the demand for currency in both the short and long term. The variables related to electronic money transactions also have a positive and significant impact on the demand for currency in both the short and long term. On the other hand, the deposit interest rate variable has a negative and significant long-term effect on the demand for currency. The variable representing the implementation of QRIS shows a negative and insignificant effect on the demand for currency. However, in the long run, the QRIS variable has a positive and insignificant effect on the demand for currency.
Word Of Mouth dan Cita Rasa: Sebuah Pendekatan Planned Behavior pada Keputusan Pembelian Yunita Lestari; Dina Lusianti; Etni Marliana
BULLET : Jurnal Multidisiplin Ilmu Vol. 2 No. 3 (2023): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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This study aims to analyze the effect of word of mouth and taste on buying interest and purchase decisions at bakery in Kudus. The theory used in this research is the theory of planned behavior. The method used in this research is quantitative, with explanatory research as the type of research. Sampling is the research used a purposive sampling technique consisting of 125 respondents. The data analysis used is SEM which is operated through the AMOS program. The results of this study indicate that word of mouth has a positive and insignificant effect on buying interest and purchase decisions, taste has a positive and significant effect on buying interest and purchase decisions, and buying interest has a positive and significant on purchase decisions, as well as buying interest can’t be an intervening variable on the influence of word of mouth and taste on purchase decisions.
Types of Code Mixing Found on Badminton Fans Tweets I Gede Subagi Yasa; I D.A. Devi Maharani Santika
BULLET : Jurnal Multidisiplin Ilmu Vol. 2 No. 2 (2023): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Nowadays people often use social media in their life, not only as recreation but also as a daily basis that became known as the era of digitalization. The purpose of this research is to find out the types of mixing codes found in badminton fans twitter with the hashtag #SingaporeSuper500. The results of this study are in accordance with the theory of Muysken (2000) regarding the types of code mixing. The method in this study uses a qualitative descriptive method. Data collection techniques in this study are screen capture data recording techniques (screenshots) and note-taking techniques. The use of language in tweets on the account posts includes several languages, namely Indonesian and English. The results show that there are three types of code mixing used by twitter users, namely insertion, alternation and congruent lexicalization.
Pengaruh Komunikasi, Lingkungan Kerja, dan Motivasi Terhadap Kinerja Karyawan di PT Great Giant Pineapple Doni Junanto; Nova Mardiana
BULLET : Jurnal Multidisiplin Ilmu Vol. 2 No. 2 (2023): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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This study aims to determine whether there is an influence of communication, work environment, and motivation on the performance of employees at PT Great Giant Pineapple. The data collection method in this study utilizes primary data. Data analysis involves multiple linear regression and t-tests, using IBM SPSS version 25 software. The sample size for this study consisted of 100 respondents from PT Great Giant Pineapple. The sampling technique employed probability sampling with a simple random sampling method. The results of this study support the proposed hypothesis, indicating that communication, work environment, and motivation have a positive and significant impact on the performance of PT Great Giant Pineapple employees. Suggestions for the company include enhancing upward and downward communication, such as providing information about tasks and organizational policies, as well as encouraging employees to communicate any work-related challenges to their superiors. Additionally, efforts should be made to improve the physical work environment, particularly in terms of maintaining optimal air temperature. Furthermore, employees should be encouraged to recognize the importance of planning their tasks independently, even in the absence of supervision.
Dampak Kepailitan Bagi Kreditur Konkuren di Indonesia Fratiwi; Rafiqa Sari
BULLET : Jurnal Multidisiplin Ilmu Vol. 2 No. 3 (2023): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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A study of normative legal literature on bankruptcy law in Indonesia has been carried out as stated in Article 2 paragraph 1 of Law Number 37 of 2004 explaining that bankruptcy requirements consist of only two or more creditors and at least one debt that is due.Likewise with the fate of concurrent creditors who are greatly disadvantaged in this case because if the debtor is declared bankrupt by the Commercial Court and it turns out that the assets are no more than the debt, the concurrent creditors will not receive any debt repayment at all. The background of this research is considering that Indonesia is a constitutional state that upholds the constitution, namely where bankruptcy law is very influential in determining the fate of concurrent creditors who are the result of the bankruptcy of a company and how bankruptcy impacts concurrent creditors in Indonesia. The research method used is the normative legal research method on article 2 paragraph (1) of Law Number 37 of 2004 concerning Bankruptcy Law which explains the conditions for bankruptcy. The results of this study indicate that many of the current bankruptcy laws are contrary to the principles of bankruptcy and can be a reproach to those who wish to take advantage of this with bad intentions. By discussing and exploring the nature of bankruptcy from its principles and principles which are then compared with the positive laws that apply, it will remind us of the true nature of bankruptcy. It is hoped that this research can add insight in the form of legal protection that should be obtained by concurrent creditors who are the most disadvantaged party.
Revisiting the use of ChatGPT in Business and Educational Fields: Possibilities and Challenges Sk Rezwan Shihab; Nahida Sultana; Abdul Samad
BULLET : Jurnal Multidisiplin Ilmu Vol. 2 No. 3 (2023): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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ChatGPT is the commonly known platform of modern natural language processing technology, developed by OpenAI. It is based on the GPT-3.5 architecture, an extension of the GPT-3 model that has undergone additional performance and efficiency optimization. The model is made to interpret inputs in natural language and provide human-like answers. A sizable amount of text data from numerous sources, including books, journals, and websites, was used to train it. To train the model to recognize the patterns and structure of natural language, unsupervised learning approaches are used. Overall, ChatGPT is a major advance in natural language processing and has the potential to completely change how we communicate with machines. It's conceivable that ChatGPT will be used in more sophisticated ways across a range of industries, from education to entertainment and beyond, as technology advances. ChatGPT has been utilized for research in addition to its potential uses in many fields. The concept has been used by researchers to investigate the social and cultural implications of language use as well as the patterns and structures of natural language. ChatGPT does have some restrictions, despite its many uses. Understanding the nuances and intricacies of human languages, such as sarcasm, irony, and humor, is one of the hardest hurdles in natural language processing. Due to ChatGPT's limited capacity to comprehend and produce responses that reflect these subtleties, it occasionally produces unsuitable or irrelevant responses. The amount of computing required by ChatGPT presents another difficulty. The model needs a lot of processing power to run, which can make it challenging to implement in environments with few resources. Researchers are investigating novel methods and approaches to natural language processing to address these issues, including creating new models that can better comprehend the subtleties of human language and enhancing the effectiveness of current models. In general, ChatGPT is a significant advancement in natural language processing and has the potential to change how we communicate with machines. In the years to come, it's possible that ChatGPT and other natural language processing models will be used in ever more sophisticated ways as technology develops and improves. .
Harnessing the Power of AI: A Review of Advancements in Healthcare Abdullah Khan
BULLET : Jurnal Multidisiplin Ilmu Vol. 2 No. 3 (2023): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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This paper examines the developments, difficulties, and prospective effects of using artificial intelligence (AI) to healthcare. The abstract offers a succinct summary of the major topics covered in the paper, including the uses of AI in healthcare, such as drug development, remote monitoring, precision medicine, medical imaging and diagnostics, and healthcare operations optimization. It draws attention to the governance structures and ethical issues that are crucial for using AI responsibly. The abstract emphasizes the importance of removing obstacles such data accessibility, healthcare professionals' expertise with AI, technical infrastructure, regulatory compliance, interoperability, and financial constraints. In order to attain individualised, effective, and efficient healthcare outcomes, the study emphasizes the revolutionary potential of AI in enhancing healthcare delivery. Stakeholders may cooperate to properly integrate AI solutions and maximize their advantages for patients and healthcare providers by recognizing the opportunities and difficulties connected with this field.
Pengaruh Tingkat Pendidikan, Motivasi dan Pengalaman Kerja Terhadap Kinerja Perangkat Desa di Kecamatan Pagerageung Kabupaten Tasikmalaya Sani Haryati; Siti Amirah Makarim
BULLET : Jurnal Multidisiplin Ilmu Vol. 2 No. 3 (2023): BULLET : Jurnal Multidisiplin Ilmu
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The purpose of this study was to analyze the effect of education level, motivation and work experience towards employees’ performance of village apparatus in Pagerageung District, Tasikmalaya Regency, both partially and simultaneously. The sample of this study were 100 village apparatus in Pagerageung District, Tasikmalaya Regency and were chosen by using total sampling technique (sampling saturated). The data used were primary and secondary data. According to the process of data, multiple linear regression was used in this present study. The results showed that the coefficient determination (R2) were in score of 0.520, which means that the variables of Education Level (X1), Work Experience (X2) and Motivation (X3) towards Village Apparatus Performance variable (Y) categorized as a low relationship. Then, the value of R square was obtained 0.270 which means the effect of Level of Education (X1), Work Experience (X2) and Motivation (X3) towards Village Apparatus Performance (Y) was obtained score of 27% while the remaining 63% is influenced by other variables which is not analyzed in this study.
Perancangan Program Stimulasi Motorik Halus Pada Anak Usia 1 – 2 Tahun Eka Sufartianinsih Jafar; Nurul Ilma; Wilda Ansar; Irdianti; Nurfajriyanti Rasyid
BULLET : Jurnal Multidisiplin Ilmu Vol. 2 No. 2 (2023): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Early childhood is a very important period of development because it can affect the next period of child development. Therefore, it is important for parents or caregivers to provide stimulation to children. Stimulation of children's abilities can support dan optimizing their development. This stimulation includes various aspects of development, one of which is fine motor aspects. The results of observations and interviews at X Instantion found that stimulation is still needed for children aged two years and there is a lack of appropriate stimulation tools for children aged 18-24 months. This research aims to make stimulation tools specifically for children aged 2 years by utilizing used goods. The research is carried out in two stages and uses observation techniques to measure children's abilities. In the application of stimulation tools, children show interest and are able to follow the instructions. The results of the observation found that there’s a changes in fine motor skills of children who participated in the whole activities. This change icluded progress the child's level of independence and success in using the stimulation tools.