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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
 189   190   191   192   193 
The Role of Business Acumen in Fostering Innovative Work Behavior Moderated By Innovative Climate Hukom, Stephanie Andrea Frederica; Etikariena, Arum
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.v5i5.51277

Abstract

This study investigates the role of business acumen (BA) in fostering innovative work behavior (IWB) among employees, moderated by an innovative climate (IC). The focus is on startups in Indonesia, where innovation is crucial for the survival and growth of companies. Using a quantitative approach, data were collected from 226 startup employees through an online questionnaire. The study employed a cross-sectional design and statistical analysis was conducted using IBM SPSS Statistics 26 and PROCESS Hayes Version 4.2. The findings reveal a significant positive relationship between BA and innovative work behavior, indicating that employees with higher BA are more likely to exhibit innovative behavior. However, the moderating effect of an innovative climate on the BA-IWB relationship was not supported, suggesting that the presence of an innovative climate does not necessarily enhance the impact of BA on innovative work behavior. The results highlight the importance of BA as a key competency for driving innovation in startups, regardless of the organizational climate. This study contributes to the literature by providing empirical evidence on the role of BA in promoting innovative work behavior and offers practical implications for startups to focus on developing BA among their employees to foster innovation. Future research should explore other potential moderators and different contexts to further understand the dynamics of BA and innovative work behavior.
The Influence of Operations and Collaboration on Private Clinic Policies and Their Effects on Clinic Performance Kurniawan, Eric; Arianto, Radityo Fajar
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.v5i5.51278

Abstract

This study aims to analyze the influence of operations and collaboration on private clinic policies and their impact on clinic performance. Performance indicators include operational efficiency, service quality, and patient satisfaction. Using a quantitative approach, this study involved health workers and management in private clinics in Jakarta. Data analysis shows that good operations and collaboration have a significant effect on clinic policies, which are mediated by human resource management. The results of the study provide strategic insights for clinic managers to improve organizational performance.
Position of Perma No. 1 of 2013 in the Indonesian Criminal Justice System Hartono, Danang Tri; Azizah, Ainul; Ghufron, Nurul
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.v5i5.51281

Abstract

This study examines the position of Perma No. 1 of 2013 within the Indonesian criminal justice system, focusing on its role in asset forfeiture for crimes where suspects remain at large. The research highlights the conflict between Article 79 Paragraph (1) of Law No. 8 of 2010 (Money Laundering Law), which permits in absentia trials, and the Criminal Procedure Code (KUHAP), which mandates defendant presence. Utilizing a normative juridical approach, the study analyzes legal frameworks, including the Anti-Corruption Law and Perma No. 1 of 2013, to evaluate mechanisms for confiscating assets from fugitive suspects. Findings reveal that while Perma No. 1 of 2013 provides a procedural basis for in rem forfeiture, its implementation faces challenges, particularly regarding assets outside formal accounts. The study concludes that harmonizing legal provisions and enhancing law enforcement awareness are critical to optimizing asset recovery and upholding legal certainty in Indonesia’s criminal justice system.
The Influence of Social Media Marketing, Brand Image, Physical Evidence and Word of Mouth on The Selection of Private Hospitals in South Jakarta Reviana, Syarifah Farah
Eduvest - Journal of Universal Studies Vol. 5 No. 6 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i6.51282

Abstract

This study aims to examine the influence of Social Media Marketing, Brand Image, Physical Evidence, and Word of Mouth (WOM) on the decision to choose private hospitals in South Jakarta. The research employs a quantitative method with purposive sampling, collecting data from 160 respondents who are patients of private hospitals in South Jakarta. Data were gathered using a questionnaire based on a Likert scale (1-5) and analyzed using the Partial Least Square - Structural Equation Model (PLS-SEM) approach. The results indicate that Social Media Marketing positively affects hospital selection decisions through engaging promotions and relevant content, though improvements are needed in simplifying the delivery of information. Brand Image also has a positive impact through a strong image that provides a sense of security for patients, although hospital reputation needs to be continuously enhanced. Additionally, Physical Evidence positively influences decisions through clean, comfortable, and modern facilities, such as waiting room cleanliness and adequate parking. Finally, Word of Mouth (WOM) significantly influences decisions through positive reviews on social media and recommendations from family and friends. The findings imply that hospitals must optimize these four factors to enhance their attractiveness and build patient trust in selecting healthcare services.
Marketing 4.0 on Customer Satisfaction and Repurchase Intention: The Mediating Role of Perceived Value in Indonesian Hospitals Industry Sihombing, Indah Kurniawati
Eduvest - Journal of Universal Studies Vol. 5 No. 6 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i6.51301

Abstract

The digital era has driven a significant transformation in marketing strategies across various sectors, including healthcare. Marketing 4.0 introduces an approach that integrates digital and human-centric dimensions, emphasizing interactivity and customer experience. This study examines the influence of branding elements in Marketing 4.0, namely Brand Identity, Brand Image, Brand Integrity, and Brand Interaction on Customer Satisfaction and Repurchase Intention with Perceived Value as a mediating variable in the hospital industry in Indonesia. This study used a quantitative approach with a survey method of 282 respondents, and the analysis was carried out using Covariance-Based Structural Equation Modeling (CB-SEM) through AMOS software. The results of the analysis show that all branding elements have a positive and significant effect on Customer Satisfaction and Perceived Value. Furthermore, Perceived Value has been proven to significantly mediate the influence of branding elements on Customer Satisfaction and Repurchase Intention. In addition, Customer Satisfaction and Perceived Value directly increase Repurchase Intent. These findings reinforce the validity of the Marketing 4.0 framework in the healthcare sector and underscore the importance of building authentic, consistent, and valuable brand experiences for patients. Theoretically, this study contributes to the literature on strategic marketing in services, especially digital-based hospitals. In practical terms, the results of this study provide managerial implications for hospitals in designing holistic and integrated marketing strategies to increase patient loyalty amid competitive market dynamics.
Meta-Analysis and Systematic Review of the Comparison of Dynamic and Static Dry Needling Techniques for Myofascial Pain Syndrome Management Based on VAS Scale Maranatha, Armando Vengo Subito Lewi; Warouw, Finny; Runtuwene, Theresia; Maja Pertiwi, Junita
Eduvest - Journal of Universal Studies Vol. 5 No. 6 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i6.51302

Abstract

Myofascial Pain Syndrome (MPS) is a common musculoskeletal pain condition, often occurring in the trapezius muscle, and can lead to decreased function and quality of life for patients. MPS is frequently observed in individuals with poor posture or who engage in repetitive physical activities. Dry needling (DN) is one of the effective methods to address this pain, with two primary techniques: dynamic (peppering) and static. This study aims to compare the effectiveness of these two techniques in reducing pain in patients with MPS, using the VAS scale. The research design is a systematic review and meta-analysis of Randomized Controlled Trials (RCTs), which combines primary data to generate new evidence. The results indicate that static dry needling is more effective in reducing pain compared to the dynamic technique, although the difference is not statistically significant. The static technique resulted in a greater reduction in VAS scores, with a mean difference of -0.86 (95% CI: -2.47 to 0.75) and a p-value of 0.30. Although not significant, the static technique appears more stable, particularly for patients with high tissue sensitivity and low tolerance to needle manipulation. This study contributes to a deeper understanding of the effectiveness of both techniques and may serve as a foundation for further research and the application of more appropriate techniques in myofascial pain management.
The Role of Capital Adequacy Ratio in Enhancing Regional Development Banks' Stability: An Empirical Study from 2012-2022 Aziz, Lukmanul Hakim; Siregar, Hermanto; Achsani, Noer Azam; Irawan, Tony
Eduvest - Journal of Universal Studies Vol. 5 No. 6 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i6.51304

Abstract

This study aims to analyze the role of the Capital Adequacy Ratio (CAR) in moderating factors affecting the stability (Z-score) of Regional Development Banks (BPD) in Indonesia from 2012 to 2022. Using quarterly panel data regression, this research categorizes BPDs into two groups: Category-1 banks that have not met the minimum capital requirements and Category-2 banks that have met these requirements. The findings reveal significant differences in how various factors influence stability across these categories. In Category-1 banks, factors such as market competition (Lerner Index), market share of loans (MSL), and deposits (MSD) have a more pronounced impact on stability, highlighting their reliance on external conditions. Conversely, Category-2 banks exhibit greater resilience, with CAR positively contributing to stability, while factors like efficiency (TEF and SEF) and macroeconomic conditions (regional GDP) play a crucial role in risk management. The study also finds that factors such as Loan to Deposit Ratio (LDR) and Non-Performing Loans (NPL) affect stability differently across categories, emphasizing the need for tailored risk management strategies. These insights provide practical implications for policymakers and banking management in optimizing regulatory frameworks and enhancing the stability of BPDs.
Analysis of The Network Density of Rainfall Stations and Hydro - Meteorology of Citanduy Watershed, West Java Province Kusumawati, R. Wulan Dewi; Sangnawati, Sri; Nugrohi, Hari
Eduvest - Journal of Universal Studies Vol. 5 No. 6 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i6.51305

Abstract

This study aims to analyze the density and effectiveness of hydrological stations in the Citanduy Watershed, West Java, using both the Kagan and World Meteorological Organization (WMO) methods. The availability and strategic distribution of Rainfall Stations (PCH), Water Level Stations (PDA), and Climatology Stations are crucial for the accuracy of hydrological data used in flood management, infrastructure development, and water resource planning. The research utilizes a quantitative approach with spatial analysis methods, including Thiessen Polygon and correlation models. The findings indicate that the 24 existing rainfall posts generally meet WMO standards in terms of coverage, but based on the Kagan method, 4 PCHs require closure or relocation to optimize data quality. Furthermore, although 33 water level stations exceed WMO’s minimum requirement of 4–12, the spatial density is uneven, and only 2 climatology stations are active, meeting the lower threshold but signaling the need for expansion. This study is novel in integrating WMO and Kagan density methods to assess and refine post placement across a single watershed, leading to more accurate hydrological monitoring. In total, the results recommend the refinement of four PCHs and the relocation or optimization of 16% of existing rainfall stations. This research contributes to optimizing station placement, improving hydrological data reliability, and enhancing the efficiency of monitoring networks for future watershed management.
Risk Analysis at The Planning Stage in The Biomethane Production Plant Construction Project: A Case Study on PT A Ginting, Agnes Debora; Khudri, Tubagus M. Yusuf
Eduvest - Journal of Universal Studies Vol. 5 No. 6 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i6.51306

Abstract

This study aims to identify potential risks during the planning phase of a biomethane plant construction project at PT A and to develop appropriate mitigation strategies. Using a qualitative case study approach, data were collected through interviews and questionnaires involving key personnel from the risk management and research divisions. A total of 27 risks were identified, and eight were prioritized based on their severity. Three primary mitigation strategies were applied: risk likelihood reduction, risk avoidance, and risk consequence reduction. The findings reveal that the highest priority risks include public objections, natural events, economic instability, unrealistic project durations, emerging stakeholders, scope creep, unclear contracts, and inappropriate technology selection. Each risk was addressed with tailored mitigation measures aligned with practical project management principles. For instance, enhancing community engagement, drafting clearer contracts, and involving expert consultants were among the real-world strategies implemented. The practical implications of this study are significant for project managers and stakeholders involved in similar construction projects. The structured risk analysis framework and corresponding mitigation actions can be used as a reference to anticipate challenges early and implement preventive measures effectively. This contributes to improved decision-making, reduced project delays, and strengthened project sustainability in high-risk industries like bioenergy development.
Optimizing Machine Learning for Daily Rainfall Prediction in Bogor: A Statistical Downscaling Approach Intan Arassah, Fradha; Sadik, Kusman; Sartono, Bagus; Sofan, Parwati
Eduvest - Journal of Universal Studies Vol. 5 No. 6 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i6.51307

Abstract

This study explores the use of machine learning models as a statistical downscaling technique to predict daily rainfall in Bogor, Indonesia. The general circulation model (GCM) is a leading tool for climate prediction, and this research applied a two-stage machine learning model to improve its predictions. The main objectives were to evaluate different GCM domains and handle missing data using two imputation approaches. The first stage involved constructing datasets with varying methods for addressing missing values, followed by the application of a support vector classification (SVC) model to classify rainy and non-rainy days. In the second stage, a recurrent neural network (RNN) model was developed to predict daily rainfall amounts. The results revealed that using random forest imputation for missing data enhanced model accuracy and reduced the root mean square error (RMSE). Among the different GCM domains, the 5 km resolution GCM data was the most accurate when compared to local station climatology. The SVC model, using a radial basis function kernel, achieved an impressive classification accuracy of 98.5%, while the RNN model achieved an RMSE of 16.19. These findings are valuable for improving rainfall predictions and can provide effective data-driven recommendations for disaster mitigation efforts in the region.

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