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INDONESIA
Eduvest - Journal of Universal Studies
Published by Green Publisher Indonesia
ISSN : 27753735     EISSN : 27753727     DOI : 10.36418
Core Subject : Health, Science, Social, Engineering,
Aerospace Engineering Computer Science & IT Health Professions Neuroscience Social Sciences
Eduvest - Journal of Universal Studies is a double blind peer-reviewed academic journal and open access to multidiciplinary fields. The journal is published monthly by Green Publisher Indonesia. Eduvest - Journal of Universal Studies provides a means for sustained discussion of relevant issues that fall within the focus and scopes of the journal which can be examined empirically. This journal publishes research articles multidisciplinary sciences, which includes: Humanities and social sciences, contemporary political science, Educational sciences, religious sciences and philosophy, economics, Engineering sciences, Health sciences, medical sciences, design arts sciences and media. Published articles are from critical and comprehensive research, studies or scientific studies on important and current issues or reviews of scientific books.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 2,617 Documents
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Enhancing Nurses' Empathy Towards Young Child Patients Through Empathy Training Dewi, Novita; Mangunsong, Frieda
Eduvest - Journal of Universal Studies Vol. 4 No. 6 (2024): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v4i6.1472

Abstract

In nursing services for early childhood hospitalized patients, nurses' empathetic attitudes cannot be implemented optimally. Empathy is a knowledge and skill that can be improved through education and training programs. Although there are many empathy training programs in nursing, there is no training programs specifically designed to increase nurses' empathy towards early childhood patients. This thesis is a research on an intervention program in the form of the "I Love and Understand You" training program which aims to increase nurses' empathy towards young children who are being treated in hospital. This research is a quantitative research with a one group difference test design before and after intervention or one group pretest post-test design. There were 18 participants in this study. Based on the Wilcoxon Signed Rank Test, the research results showed a significant increase in nurses' empathy towards early childhood before and after the intervention program was implemented (p-value < 0.001, p < 0.05). Based on the Friedman test, the research results also showed that nurses' empathy for early childhood remained significantly different two weeks after the intervention program was implemented (p-value 0.001, p < 0.05). This proves that the "I Love and Understand You" training program increases nurses' empathy for young children who are being treated in hospital.
Named Entity Recognition In Electronic Medical Records Based On Hybrid Neural Network And Transformer Sumarudin, Muhammad; Syafrullah, Mohammad
Eduvest - Journal of Universal Studies Vol. 4 No. 6 (2024): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v4i6.1473

Abstract

The development of artificial intelligence in the field of health encourages the use of electronic medical records in all health facilities to record health services provided to patients. For hospitals, extracting information from electronic medical records can make it easier for management to make clinical decisions and for researchers to obtain data for research in the medical and nursing fields. The research builds a model of named entity recognition in electronic medical records based on hybrid neural networks, bidirectional encoder representations from transformers, and setting hyperparameters to get the highest accuracy. The research data set is processed from an initial examination form of an adult patient in a hospital onto an electronic medical record in 2022, and the data is pre-processed. Next, perform the entity-tagging phase on the text and divide 70% of the training datasets by 30% of the testing datasets. Training and evaluation of models built using the confusion matrix method. The results of this study show that the entity identification model called bidirectional encoder representations from transformers consistently outperforms the neural network-based entity recognition model in any evaluation metric. The abbreviation of the bi-directional encoder representation of transformer has very high precision, recall, and f1-score values, demonstrating its ability to recognise entities very well. In this study, although the model named Entity Recognition based on neural networks also has high accuracy, the low precision and recall values indicate that this model may have difficulty recognising entities accurately.
Pathogenesis and Diagnostic Challenges of Mucormycosis Ambai Sari, Tari; Adawiyah, Robiatul; Wahyuningsih, Retno
Eduvest - Journal of Universal Studies Vol. 4 No. 6 (2024): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v4i6.1474

Abstract

Mucormycosis is a fungal infection caused by the order Mucorales from the class Zygomycetes. Among the genera within the order Mucorales, Rhizopus sp. is the genus most frequently causing infections. Mucorales fungi enter the human body in three ways: through inhalation of airborne spores, through broken skin, and through ingestion of contaminated food. Within the human body, the process is angioinvasive, leading to thrombosis and resulting in tissue necrosis. Currently, establishing a diagnosis is crucial for determining the patient’s prognosis, as it can reduce morbidity and mortality. The current diagnostic modes include direct examination, culture, histopathology, and molecular identification. Each of these methods has its advantages and disadvantages. However, for rapid diagnosis, molecular examination, either through PCR or RT PCR, is necessary.
Juridicial Review of the Appointment of An Ex-Convict of Corruption to Be A Commissioner of Bumn and Subsidiary Company of Bumn and Its Implication for Good Corporate Governance (Gcg Rizkika, Kinanti
Eduvest - Journal of Universal Studies Vol. 4 No. 6 (2024): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v4i6.1479

Abstract

This research aims to analize the appointment of an ex-convict of corruption to be a Commissioner of BUMN and the subsidiary company of BUMN from a legal perspective and its implication for Good Corporate Governance Practices. The result showed that the appointment of an ex-convict of corruption to be a Commissioner of BUMN and the subsidiary company of BUMN is considered as a violation of law because it doesn’t fulfill the Integrity aspect. The violation of integrity showed that Good Corporate Governance is not fully materialized in a corporate practice, especially BUMN and the subsidiary company of BUMN.
The Effect of Corticosteroid Administration on Maternal Outcomes in Patients with Hellp Syndrome Yulistiani, Yulistiani; Rana, Rana
Eduvest - Journal of Universal Studies Vol. 4 No. 6 (2024): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v4i6.1480

Abstract

HELLP syndrome is a hemolysis syndrome with microangiopathic blood smears, increased liver enzymes, and low platelets in pregnant and postpartum patients. HELLP syndrome may be a complication or progression of severe preeclampsia. The death rate due to HELLP syndrome is relatively high. The use of corticosteroids is expected to increase platelet counts, reduce LDH values, and reduce liver function parameters to speed up the duration of healing and reduce mortality. Corticosteroids inhibit endothelial activation, reduce vascular endothelial injury, increase hepatic blood flow, prevent thrombotic microvascular hemolysis, and reduce platelet consumption. Objective: To evaluate the effectiveness of corticosteroids in patients with HELLP syndrome. Method: This research was conducted using a literature review method by searching articles from Google Scholar, PubMed, and Science Direct. Results: Administration of corticosteroids can increase platelet counts, reduce AST/ALT values, and reduce the need for blood product transfusions. Conclusion: Corticosteroids effectively increase platelet counts in patients with HELLP syndrome.
The State's Obligation in Providing Replacement Housing Due to Lost Land Milda, Milda; Kurniati, Nia; Pujiwati, Yani
Eduvest - Journal of Universal Studies Vol. 4 No. 6 (2024): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v4i6.1481

Abstract

This research aims to find out the state's obligation in organizing occupancy lost due to land destruction. The form of this research is normative juridical with a statute approach and case approach. The type of research used is descriptive research and the data used is secondary data which is then All data obtained is collected and analyzed normatively qualitative. The results showed that the impact of the loss of land was that the community lost their shelter. Shelter is a basic right of all citizens, especially those affected by the disaster. The state is responsible for the fulfillment of the basic rights of the community, namely organizing and providing housing / shelter that is feasible and safe from disasters.  If the state is absent then the state is violating the mandate of the Constitution and Pancasila.
Appropriateness of Student Major Selection Using Naive Bayes and K-Nearest Neighbor Algorithms at SMK Plus Al Musyarrofah Mustofa, Kamaluddin; Tasa, Tyan; Kurniawan, Denni
Eduvest - Journal of Universal Studies Vol. 4 No. 6 (2024): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v4i6.1483

Abstract

The process of selecting a major is a critical stage for students because it can influence their motivation and learning outcomes while attending school, especially at Vocational High Schools (SMK). This challenge is becoming more significant with the emergence of many new schools in various cities and districts in Indonesia, especially in DKI Jakarta Province. Prospective students often choose majors not based on personal interests, which can then result in lower grades, especially in productive subjects or certain competencies. To overcome this problem, a major suitability system is needed that can provide recommendations based on student abilities through certain attributes. In this research, a department suitability classification process was carried out using the Naive Bayes and k-Nearest Neighbor methods using data from 238 tenth grade (X) students for the 2023/2024 academic year, which included 9 relevant attributes. The testing process was carried out with a composition of training data and test data in five comparisons, namely 90:10, 80:20, 70:30, 60:40, and 50:50. The research results show that the 80:20 composition provides the best results, with k-Nearest Neighbor achieving recall, accuracy and precision levels of 100%. On the other hand, the Naive Bayes Classifier produces a recall rate of 61%, with an accuracy of 73%. These results indicate that k-Nearest Neighbor is superior in predicting major suitability compared to Naive Bayes under these conditions.
Use Of Digital Content As A Means To Reach Unreachable Market Segments Conventionally Nugroho, Dony Ari
Eduvest - Journal of Universal Studies Vol. 4 No. 6 (2024): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v4i6.1493

Abstract

The presence of the industrial era 4.0 gave birth to various technological developments that have an influence on the delivery and processing of data in all aspects of human life. Technology brings the presence of developments in the field of marketing. This development comes with digital marketing that shifts conventional marketing. Business owners try to do various ways to develop their business and increase profits, one of which is the use of digital content as a strategy in digital marketing. The purpose of this study is to analyze the use of digital content as a means to reach market segments that are not conventionally reached. The research method used is qualitative with description processing. The data collection technique is a literature study using various relevant sources. The data obtained was analyzed with three stages, namely data reduction, data presentation, and conclusion making. The results show that the use of digital content as a digital marketing strategy is effective in reaching market segments that are not reached conventionally through social media platforms, websites, and mobile applications. Analysis of content performance and user interactions enables optimization of digital marketing strategies, increasing brand awareness, expanding reach, and enhancing engagement with diverse market segments, emphasizing the importance of continuous development and utilization of analytics technology to understand consumer preferences and behaviors to strengthen competitive positions in dynamic markets.
Looking At The Future Of Indonesia In GEDSI Mainstreaming Through The Prabowo-Gibran Vision And Mission Document Sudrajat, Fahmi Idris
Eduvest - Journal of Universal Studies Vol. 4 No. 7 (2024): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v4i6.1497

Abstract

Gender equality, disability and social inclusion (GEDSI) is a concept which enables the realization of sustainable inclusive development. The mainstreaming of GEDSI is also explicitly or implicitly contained in the vision and mission documents of the presidential and vice-presidential candidates Prabowo-Gibran, who are the winning pair of the election based on quick counts. In contrast to previous studies that tend to analyze policy documents that have been issued by agencies or institutions, this study aims to dissect the Prabowo-Gibran pair's ideas in implementing the GEDSI concept contained in the vision and mission document. The analysis of term frequency and density using the R application was carried out to calculate the frequency and density of keywords, while content analysis was used to understand the context of each word occurrence. This research is expected to make it easier to see Indonesia's future in mainstreaming GEDSI. The results found that 33 times the keywords appeared in the Prabowo-Gibran mission vision document, the context of the appearance of keywords contained in the Prabowo-Gibran mission vision document at least has a serious commitment to mainstreaming GEDSI.
Addressing The Factors Causing Financial Statement Fraud: A Systematic Literature Review And Bibliometric Analysis Archanti, Amelia Rachma; Rohman, Abdul
Eduvest - Journal of Universal Studies Vol. 4 No. 6 (2024): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v4i6.1501

Abstract

Fraud is often revealed through various media and employees are the ones who most often report it. Factors that influence fraud include pressure, opportunity, rationalisation and the ability to commit fraud. This study aims to determine the factors that cause financial statement fraud and find out how to overcome financial statement fraud. This research method uses a systematic literature review of 30 journals that have been selected from scopus, then analysed using VOSviewer_1.6.20 and explained descriptively. Financial statement fraud can be detected using the Beneish model, financial ratios, audit committees, and corporate indicators. The factors that cause it include pressure, opportunity, rationalisation and ability. Based on the data that has been collected, the solution to prevent financial statement fraud is a violation reporting system, honest and ethical corporate culture, good corporate governance, effective internal control and risk management systems, and data analysis and technology. The Beneish model is able to identify manipulator and non manipulator companies. Preventing fraud in banking requires the principle of knowing the customer and anti-money laundering. Anti-fraud strategy should be aligned with organisational strategy with accountability to the board and all employees. Some foreign studies also show ways of prevention such as the intensity of regulatory supervision and auditor sanctions. Future research suggestions are expected that future researchers can conduct research directly in a company and can use this article as additional information in conducting research related to financial statement fraud.

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