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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 2,419 Documents
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Nephrotoxicity Due to Snake Bites Srikandi, Ni Made Putri Rahayu; Ayu, Nyoman Paramita
Eduvest - Journal of Universal Studies Vol. 5 No. 4 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i4.51087

Abstract

Snakebites remain a critical public health issue in tropical countries, particularly due to their severe systemic effects, including nephrotoxicity and acute kidney injury (AKI). One major complication that frequently arises from envenomation, especially from Viperidae and Elapidae species, is AKI, which can progress to life-threatening conditions if not promptly managed. This study aims to explore the clinical management of snakebite-induced AKI and its systemic complications, using a case study of a 51-year-old male patient. The research employs a qualitative clinical case approach, involving observational analysis, serial laboratory tests, imaging, and documented treatment progression. The patient, who presented with swelling and bleeding in the bitten limb, was diagnosed with stage 3 AKI, Disseminated Intravascular Coagulation (DIC), and thrombocytopenia. Management included administration of antivenom, hemodialysis, and blood product transfusions. Significant improvements in kidney function and coagulation parameters were observed within two weeks. The findings highlight the urgency of early intervention, particularly in cases where the snake species is unidentified. This study contributes to a deeper understanding of AKI pathophysiology in envenomation and underscores the importance of WHO and KDIGO guideline implementation. It also emphasizes the need for enhanced clinical training and protocols in resource-limited settings to improve outcomes in snakebite victims.
Innovative Approaches to Enhancing Intelligent and Emotional Quotient Through Multi-Modal Neurotechnological Interventions (QEEG, TCCD, BAWE, HBOT, Board Game and Brain-Computer Interface) Juswanto, Gerard; Mayza, Adre; Caroline, Maria; Gracia, Anne; Koesoema, AP
Eduvest - Journal of Universal Studies Vol. 5 No. 4 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i4.51091

Abstract

In the digital age, Generation Z and Alpha face rising cognitive-emotional challenges, including attention deficits and emotional dysregulation, necessitating innovative neurotechnological interventions. This study evaluates the efficacy of multi-modal neuroengineering—combining qEEG, BAWE, board games, and TCCD—to enhance IQ and EQ in hyperactive children. A double-blind randomized controlled trial was conducted with 6 participants (aged 9) assigned to board games, BAWE+board games, or control groups. qEEG and TCCD monitored neurophysiological changes, while cognitive and emotional outcomes were assessed via standardized tests. The BAWE+board game group showed significant IQ and EQ improvements (r = 0.72, p < 0.001), outperforming standalone interventions. qEEG revealed enhanced alpha/beta waves, correlating with cognitive-emotional gains, while TCCD confirmed optimized cerebral blood flow. This research validates integrated neurotechnologies as a scalable solution for EIQ enhancement in digital-native populations, advocating for certified, multidisciplinary implementation in educational and therapeutic settings.
Optimization of The Use of Geographic Information Systems (GIS) in Market Analysis and Development Strategies Permata, Muhammad Andhika; Rukhviyanti, Novi
Eduvest - Journal of Universal Studies Vol. 5 No. 4 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i4.51104

Abstract

This study aims to optimize the use of Geographic Information Systems (GIS) in market analysis and development strategies, focusing on SMEs in West Java. A mixed-method approach was employed, integrating quantitative spatial analysis and qualitative data from surveys and interviews. Primary data were collected through questionnaires administered to 150 business owners and 300 consumers, combined with secondary demographic maps from the Geospatial Information Agency (BIG). Spatial analysis utilized hotspot analysis and buffer analysis in ArcGIS. Key findings include: (1) Three regions identified as potential market hotspots (North Bandung, Central Cimahi, Central Sumedang) with consumer density >50 people/km²; (2) GIS usage showed a significant positive correlation with sales growth (r = 0.72; p < 0.01), contributing to 58% of sales variation; (3) Main barriers to GIS implementation were licensing costs (45% of respondents) and technological literacy (60%). Strategic recommendations include open-source GIS training (QGIS) and developing an integrated data platform for SMEs. These findings prove that GIS is not only effective for mapping but also as a spatial data- driven decision-making tool that can enhance business strategy accuracy by up to 40%.
Pattern of Prophylactic Antibiotic Prescribing in Surgical Patients at the University of Indonesia Hospital Wardani, Tita Kusuma; Andrajati, Retnosari; Putra, M. Arza; Dwiputra, Anggara Gilang
Eduvest - Journal of Universal Studies Vol. 5 No. 5 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i5.51105

Abstract

Surgical procedures involve interventions that may compromise tissue integrity, necessitating prophylactic antibiotics to prevent surgical site infections (SSIs). Proper timing, selection, and administration of antibiotics are crucial to achieving optimal therapeutic outcomes. This study aimed to evaluate the prescribing patterns of prophylactic antibiotics in patients undergoing surgical procedures at the University of Indonesia Hospital and assess adherence to established guidelines. A retrospective observational study analyzed medical records of patients who underwent surgery. Data collected included the type of antibiotics prescribed, timing of administration, dosage, duration, and adherence to national and international guidelines. Descriptive statistics were used to summarize the findings. The study analyzed 213 surgical patients at the University of Indonesia Hospital in September 2024. Prophylactic antibiotics were prescribed in 90.61% of cases, predominantly Cefazolin (86.48%), with doses of 2 g (76.12%) and 1 g (10.36%). Most patients (97.93%) received antibiotics 30–60 minutes pre-incision. All antibiotics were administered intravenously with research results, 4.29% were affected by IDO. These findings highlight overall adherence to prophylactic antibiotic guidelines, with minor deviations in timing and dosage observed in a few cases. Optimal prescribing practices were achieved in most surgical patients to reduce the risk of SSI.
The Effect of Job Satisfaction, Organizational Communication and Organizational Commitment on Organizational Citizenship Behavior (Study at PT. Selamanya Sukses Abadi) Herminingsih, Anik; Wartikah, Wartikah
Eduvest - Journal of Universal Studies Vol. 5 No. 4 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i4.51107

Abstract

This study aims to investigate the effect of job satisfaction, organizational communication, and organizational commitment on organizational citizenship behavior (OCB) at PT. Selamanya Sukses Abadi. Using a saturated sampling method, the study collects data from 50 employees through a survey questionnaire with a Likert scale. The analysis is conducted using Structural Equation Modeling (SEM) with the Partial Least Square (PLS) method via Smart-PLS. The findings reveal that job satisfaction, organizational communication, and organizational commitment all have a positive and significant effect on OCB, indicating that improving these factors can enhance employee behavior that goes beyond job requirements. Specifically, job satisfaction had the strongest positive impact on OCB, followed by organizational communication and organizational commitment. The implications of this research are crucial for organizations aiming to improve OCB through strategies focused on increasing job satisfaction, improving communication, and fostering higher commitment among employees. For future research, it is recommended to explore the role of leadership styles and organizational culture as additional factors influencing OCB, as well as conducting longitudinal studies to examine the long-term effects of these variables on employee behavior and organizational performance.
Comparison of Decision Tree Algorithms and Support Vector Machine (SVM) In Depression Classification In Students Risqi, M. Khoirul; Dwi Prastya, Ifnu Wisma; Vikri, Muhammad Jauhar
Eduvest - Journal of Universal Studies Vol. 5 No. 4 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i4.51108

Abstract

Mental health in adolescents, especially students, is an important concern in the world of education. Early detection of symptoms of depression in students can help preventive efforts in handling them. This study aims to compare the performance of two classification algorithms, namely Decision Tree and Support Vector Machine (SVM) in detecting the level of depression in students based on data obtained from the Kaggle platform. The dataset used consisted of 502 student data with 10 features that caused depression and 1 target class. The research stage includes data preprocessing, which includes data cleaning, categorical value encoding, and normalization with the Min-Max Scaling method. The model was developed using the 5-Fold Cross Validation method to evaluate the classification performance of each algorithm. Model evaluation was carried out using precision, recall, and accuracy metrics. The test results showed that the SVM algorithm had better performance with a precision value of 93.63%, recall of 95.21%, accuracy of 94.22%, and F1-score of 94.68%. Meanwhile, Decision Tree obtained a precision of 81.77%, a recall of 84.90%, an accuracy of 82.86%, and an F1-score of 83.64%. Based on these results, it can be concluded that the Support Vector Machine is superior in classifying depression in students compared to Decision Tree
Strategies to Improve Public Transportation Services for Students of The University of Bengkulu Felina, Zia; Agustien, Melawaty; Kadarsa, Edi
Eduvest - Journal of Universal Studies Vol. 5 No. 4 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i4.51109

Abstract

The choice of transportation mode is a crucial aspect of student mobility, especially in higher education environments with high levels of activity. Students tend to select transportation modes based on cost, travel time, convenience, accessibility, and safety. However, the high use of private vehicles among students has led to increased traffic congestion and road accidents, as seen in Bengkulu City. On the other hand, the suboptimal quality of public transportation services has contributed to the low interest of students in using public transport. This study aims to analyze the factors influencing the transportation mode choice of Universitas Bengkulu students and to evaluate the effectiveness of public transportation services. The method used is binary logistic regression analysis combined with stated preference to understand mode preferences based on cost and travel time comparisons. The resulting mode choice model indicates that students prefer private vehicles unless public transportation offers more competitive costs and travel times. The study results reveal that travel cost and time are the most influential factors in mode selection. If public transportation becomes more affordable or offers shorter travel times, students are more likely to switch to it. The study concludes that improving the quality of public transportation services, particularly in terms of cost efficiency and punctuality, can increase student interest in using public transport, thereby supporting a more sustainable transportation system.
Encouraging Knowledge Sharing Through Social Media: A Systematic Analysis of Drivers and Influences Ridho, M. Mushlih; Wirabuana, Cakra; Sensuse, Dana Indra; Eitiveni, Imairi; Hidayat, Deden Sumirat; Indriasari, Sofiyanti
Eduvest - Journal of Universal Studies Vol. 5 No. 4 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i4.51117

Abstract

This study systematically investigates the dynamics of knowledge sharing on social media, focusing on identifying driving factors and their impacts. By employing a conventional literature review method and the PICOC structure, this research analyzed 73 studies from 2019 to 2024, revealing key insights into the role of social media in facilitating knowledge sharing. The findings categorize drivers into technological, social, motivational, knowledge-based, and organizational factors, each playing a significant role in enhancing or hindering knowledge sharing activities. The technological infrastructure and user-friendly interfaces, coupled with social dynamics, motivational incentives, the quality of knowledge, and organizational support, emerged as pivotal in propelling knowledge sharing. Conversely, challenges such as privacy concerns, information overload, and the threat of misinformation highlight the need for cautious optimization. This study contributes to the academic and practical understanding of knowledge sharing on social media, offering a foundation for future research and strategies to maximize its potential for innovation and organizational learning.
Two Decades of Fiscal Decentralization: Economic Convergence and Regional Disparity. Sari, Ira Febriana
Eduvest - Journal of Universal Studies Vol. 5 No. 5 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i5.51118

Abstract

Fiscal decentralization in Indonesia has granted substantial authority to regional governments in managing local expenditures, with the expectation of promoting equitable development and economic convergence. However, questions remain regarding the effectiveness of government spending in reducing regional disparities. This study aims to examine the impact of government expenditure and other contributing factors—namely education, fixed capital supply, and the Human Development Index (HDI)—on economic convergence and inequality reduction across Indonesia’s 34 provinces from 2010 to 2019. The research investigates whether these variables contribute to narrowing the development gap using a panel data analysis and the Generalized Method of Moments (GMM) approach. The findings show that government spending positively and significantly supports economic convergence and reduces interregional inequality. However, the effects of education and the Human Development Index are found to be statistically insignificant in reducing disparities. This result may be attributed to persistent inequality in education access and the low educational attainment of much of the Indonesian workforce. These findings suggest that while fiscal policy can drive convergence, complementary policies are required to enhance education quality and accessibility to ensure more inclusive regional development.
Economic Valuation of Mangroves in Sekotong Tengah, West Lombok Rabbany, Lalu Rizal; Afifi, Mansur; Diswandi, Diswandi; Gravitiani, Evi; Rahardjo, Mugi
Eduvest - Journal of Universal Studies Vol. 5 No. 4 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i4.51119

Abstract

This study aims to calculate the economic value of mangrove ecosystems and estimate the average Willingness to Pay (WTP) of the community in Sekotong Tengah Village. Data were collected through observations and interviews with the Contingent Valuation Method (CVM) using the Double-Bounded Dichotomous Choice (DBDC) approach to 100 household respondents. The results showed that the Direct Economic Value (DEV) of mangrove utilization reached IDR 2,790,890,400 per year, while the Indirect Use Value (IUV) derived from ecosystem services was worth IDR 2,845,291,680 per year. The Option Value (OV) is estimated at IDR 2,797,560 per year so that the Total Economic Value (TEV) reaches IDR 6,727,204,152 per year. The estimated average WTP with binary logistic and bivariate probit models were IDR 417,264 (25.17 USD) and IDR 403,452 (24.33 USD) per household per year, respectively. Employment and supply factors negatively affect WTP, while education and income have a positive and significant effect. These results provide insights for mangrove conservation policy and alternative funding for ecosystem protection.

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