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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 2,816 Documents
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Digitalization System to Improve Efficiency & Quality Through the Selective QC 7 Tools Method in the Component Automotive Industry Yantono Simamora; Choesnul Jaqin; Humiras Humiras
Eduvest - Journal of Universal Studies Vol. 6 No. 4 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i4.52976

Abstract

The automotive component industry faces significant challenges in improving operational efficiency and production quality, particularly due to reliance on manual processes. A key issue identified is the company's Overall Equipment Effectiveness (OEE) performance, which has not met the established target, with an average achievement of only 72%, indicating considerable process inefficiencies and productivity losses. External pressures such as global market dynamics, economic uncertainty, and increasing Regional Minimum Wage (UMP) rates have further exacerbated the need for digital transformation to enhance operational efficiency and organizational competitiveness. This study aims to design a digitalization system to address operational inefficiencies and low production quality in the automotive component industry, focusing on improving OEE performance, reducing operational costs, and supporting data-driven decision-making. This research proposes an integrated digitalization system developed through the combination of the selective QC 7 Tools and Design Thinking approaches, with the selective QC 7 Tools applied to systematically identify and analyze the root causes of operational inefficiencies. The implementation resulted in significant improvements, including the complete elimination of 195 minutes per shift of non-value-added activities, the reduction of reporting lead time from 2–3 days to near real-time (0.5 days for analysis), and a 10% increase in OEE performance. The system also enabled the reallocation of 13 administrative personnel to more value-added roles, reduced operational costs, and minimized paper waste and CO₂ emissions. This study confirms that the selective QC 7 Tools prove effective in supporting digital transformation, and that data-driven digitalization can significantly improve competitiveness and business sustainability.
Maturation of Radiocephalic Arteriovenous Fistula with and without Hydro dilatation: A Study on the Diameter and Flow Volume of the Draining Vein Eko Dion Pandin Purba Sigoemondrong; Patrianef Darwis; Dian Kusumadewi
Eduvest - Journal of Universal Studies Vol. 6 No. 4 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i4.53007

Abstract

Radiocephalic arteriovenous fistula (AVF-RC) is the primary vascular access in patients with end-stage chronic kidney disease undergoing hemodialysis. One of the main challenges of using AVF-RC is the failure of early maturation, characterized by inadequate diameter and flow volume of the draining vein. Hydro dilatation is a simple intraoperative technique that aims to increase the distensibility and diameter of the veins, so that it is expected to accelerate the maturation process of the fistula. This study used a retrospective cohort design involving patients with chronic kidney disease who were undergoing hemodialysis and had AVF-RC created for the first time at Yarsi Hospital between October 2023 and September 2025. Subjects were divided into two groups, namely the group with and without hydro dilatation, with 60 patients in each group. A total of 120 patients were analyzed, with a median age of 54 years, and the majority were male. The diameter of the draining vein increased significantly from preoperative to 6 weeks postoperative in all patients (p < 0.001). The increase in draining vein diameter at weeks 1 and 6 postoperatively was significantly greater in the hydro dilatation group than in the non-hydro dilatation group (p < 0.001). Hydro dilatation has a significant effect on increasing the diameter and flow volume of the draining vein of AVF-RC, particularly in the early period of maturation. This technique has the potential to improve the success of AVF maturation and can be considered as part of an intraoperative strategy for optimizing vascular access for hemodialysis.
Analysis of Factors Affecting the Performance of Medical Laboratory Technologists (MITS)/Laboratory Analysts in Hospitals: A Scoping Review Agus Riyanto; Ayun Sriyatmi; Cahya Tri PurnamiI
Eduvest - Journal of Universal Studies Vol. 6 No. 4 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i4.53011

Abstract

The performance of Medical Laboratory Technologists (MLTs) and Laboratory Analysts is essential for maintaining the accuracy and reliability of diagnostic services in hospitals. Suboptimal laboratory performance can negatively affect clinical decision-making and patient outcomes. Many hospitals in Indonesia face challenges such as limited staffing, high workloads, and inadequate career development systems, which may hinder optimal employee performance. This study aims to systematically analyze key factors influencing the performance of Medical Laboratory Technologists and Laboratory Analysts in hospital settings. A systematic review methodology was applied by synthesizing findings from multiple related studies to derive comprehensive conclusions. Literature searches were conducted using Google Scholar and focused on factors associated with employee performance, including compensation, leadership, motivation, work culture, organizational commitment, work environment, salary structures, and career development, with article selection restricted to publications from 2014 to 2024. Articles were screened through title and abstract review, followed by full-text assessment based on eligibility criteria. The review results indicate that compensation, leadership, motivation, and work culture are major determinants of performance, while organizational commitment, work environment, salary structures, and career development also significantly contribute to job satisfaction and productivity. The findings highlight that strengthening both financial and non-financial incentives, providing effective leadership, and fostering supportive organizational cultures can enhance employee performance and improve the efficiency and quality of laboratory services.
Development of a Machine Learning Model for Estimating GRDP at Constant Prices (PDRB ADHK) for Regencies and Cities in West Java Lukito Angga Prasakti; Isniar Budiarto
Eduvest - Journal of Universal Studies Vol. 6 No. 4 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i4.53015

Abstract

Gross Regional Domestic Product (GRDP) at constant prices (ADHK) is a key indicator for measuring real economic growth at the regional level. However, estimating GRDP at the regency/city level in Indonesia still faces challenges related to limited real-time data availability, publication delays, and reliance on conventional statistical methods that are often unable to capture complex and nonlinear relationships. This research aims to develop and compare several machine learning models in estimating ADHK GRDP for 27 regencies/cities in West Java Province using data from 2010–2024. The study employs a quantitative explanatory approach with panel data consisting of 405 observations obtained from the West Java Open Data portal. Feature engineering was conducted by incorporating historical growth rates, temporal variables, and regional encoding to capture temporal dynamics and spatial heterogeneity. Four predictive models were developed, namely linear regression, Random Forest, Gradient Boosting, and Support Vector Regression (SVR), and were evaluated using RMSE, MAE, MAPE, and R² metrics with cross-validation. The results indicate that ensemble-based models outperform traditional methods, with Gradient Boosting demonstrating the best performance by achieving the lowest error values and the highest explanatory power. Random Forest also shows strong predictive capability, while linear regression yields the lowest accuracy. These findings highlight the superiority of machine learning, particularly tree-based ensemble methods, in modeling complex regional economic data. The study contributes to the limited literature on regency/city-level GRDP estimation in Indonesia and suggests that machine learning can serve as a reliable tool for supporting data-driven policy formulation.
Implementing Differentiated Learning to Achieve Deep Learning Within the Context of the Merdeka Curriculum Dwi Utami
Eduvest - Journal of Universal Studies Vol. 6 No. 4 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i4.52456

Abstract

In the era of 21st-century education, the global challenge of achieving deep learning has become increasingly critical, as many education systems continue to struggle with surface-level learning approaches that prioritize memorization over conceptual understanding and critical thinking. This study aims to describe the implementation of differentiated learning as an effort to achieve deep learning within the context of the Merdeka Curriculum in elementary schools. The research was grounded on the premise that each student possesses distinct characteristics, interests, and learning styles, requiring adaptive teaching approaches to optimize their potential. Differentiated learning aligns with the principles of the Merdeka Curriculum, which emphasizes flexibility, meaningful learning, and learner autonomy. This research employed a qualitative method with a case study design conducted in a fifth-grade elementary classroom. Data were collected through observation, interviews, and documentation, and were analyzed descriptively to obtain a comprehensive picture of differentiated learning practices. The findings reveal that instructional differentiation accommodating visual, auditory, and kinesthetic learning styles enhances students’ active engagement, motivation, and conceptual understanding. Moreover, teachers are better supported in managing inclusive classrooms through varied and meaningful learning strategies. The study concludes that differentiated learning plays a vital role in realizing deep learning, in line with the educational transformation agenda of the Merdeka Curriculum.
Revisiting Employee Engagement: A Systematic Review of Emerging Perspectives Roosendy Annisa Putri; Fiona Niska Dinda Nadia
Eduvest - Journal of Universal Studies Vol. 6 No. 4 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i4.52489

Abstract

This research aims to explore the conceptual shift in the meaning of employee engagement through a systematic literature review (SLR) approach based on the PRISMA protocol. The review analyzes 17 selected articles published between 2006 and 2025 to identify the evolving dynamics of understanding, influencing factors, and approaches to fostering employee engagement. The findings indicate that employee engagement is no longer narrowly understood as mere attachment to job tasks or roles but has evolved into a multidimensional construct influenced by personal values, sustainability, digitalization, and the new generation’s expectations for meaningful work. The review also reveals that organizational support, leadership quality, and technology integration have become increasingly prominent factors in shaping employee engagement. The theoretical implications highlight the need for a new, more adaptive and contextual conceptual model, while the practical implications point to the importance of value-based, employee-experience-driven human resource management strategies. This study contributes to enriching the understanding of engagement in the ever-evolving modern work landscape.
Assessment of Ahmad Yani Road Infrastructure in Tegal City as an Urban and Tourism Road Based on Road Safety Inspection Suprapto Hadi; Mochammad Affan Dahlan; Reffi Nur Hayati; Fajar Firdaus Maulana; Agustin Ratna Indriani
Eduvest - Journal of Universal Studies Vol. 6 No. 4 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i4.52515

Abstract

Ahmad Yani Street is one of the main roads in Tegal City with a strategic function as a connector between urban areas and tourist destinations. Although classified as an urban road, its existing condition does not fully comply with technical standards. The sidewalks and shoulders are wider than the vehicle lanes, and the one-way traffic system makes the corridor more pedestrian-oriented. This study aims to analyze the suitability of Ahmad Yani Street's function as an urban and tourism road. The research method used was descriptive comparative through field observation, documentation, and analysis based on standards from Bina Marga and the Ministry of Public Works and Housing. The results show that Ahmad Yani Street has more characteristics of a tourism road due to its high aesthetic quality and pedestrian comfort, although the traffic performance for motorized vehicles remains limited. Ahmad Yani Street in Tegal City, with its pedestrian-oriented characteristics and high aesthetic quality, aligns more with the function of a tourism road than an urban road. While it provides comfortable spaces for pedestrians and enhances the tourist experience, the street's infrastructure does not fully meet the technical standards for urban roads, particularly in terms of vehicle lane width and traffic management.
The Impact of Perceived Value, Trust and the Mediating Role of Purchase Intention on ChatGPT Purchase Decisions Abimanyu Siddiq; Lusia Tri Hutami; Putri Dwi Anjani
Eduvest - Journal of Universal Studies Vol. 6 No. 4 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i4.52536

Abstract

This study investigated how perceived value and trust influence purchase intention and purchase decision for paid ChatGPT subscriptions. A quantitative survey was conducted among users who have used ChatGPT and subscribed to GPT Go, Plus, or Pro, using non-probability purposive sampling. The data were analysed with multiple linear regression and a mediation test. The findings show that perceived value and trust both have positive effects on purchase intention. Perceived value and purchase intention also have positive effects on purchase decision, whereas the direct effect of trust on purchase decision is not significant. Furthermore, purchase intention mediates the relationships between perceived value and purchase decision and between trust and purchase decision. These results indicate that users’ evaluations of value and trust toward ChatGPT primarily operate by strengthening their intention to subscribe, which then translates into actual subscription behaviour. The study extends value-based adoption and trust perspectives by connecting them to actual subscription decisions for a generative AI service and offers practical guidance for AI service providers on how to design and communicate value propositions and trust-building mechanisms that effectively convert intention into subscription.
Christian Leadership Paradigm According to Thomas Aquinas and Social Transformation: A Theological Study and Case Analysis Budi Tjahja Halim
Eduvest - Journal of Universal Studies Vol. 6 No. 4 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i4.52539

Abstract

This study explores the Christian leadership paradigm based on the 13th-century philosophy of Thomas Aquinas, focusing on its relevance to contemporary leadership practices, especially in addressing social transformation. Amid growing challenges such as moral crises and social inequality, the need for ethical, spiritually grounded leadership has become urgent. The purpose of this study is to examine how Thomistic principles caritas (charity), prudentia (wisdom), justitia (justice), and bonum commune (common good) can guide modern Christian leadership. Using a qualitative descriptive methodology, this research conducted a theological hermeneutic analysis of Aquinas's writings, comparing them with real-world social transformation examples, such as the La Red community's impact on Bellavista Prison. The results reveal that Thomistic leadership principles provide a moral and ethical framework that not only fosters organizational effectiveness but also drives social change. By focusing on service, justice, and moral integrity, the study highlights how these principles can address the pressing issues of public integrity, structural poverty, and social solidarity in today's context. The conclusion suggests that the Thomistic model of leadership is not merely a theoretical construct but a practical tool for transforming societal structures through moral virtue and a commitment to the common good. Future research could expand on these findings in diverse organizational contexts.
Robot-Assisted Total Knee Arthroplasty: A Literature Review of Accuracy, Complications, Cost-Effectiveness, and Clinical Outcomes Deria Zahra Fatihah; Juniarto Jaya Pangestu; Norman Zainal
Eduvest - Journal of Universal Studies Vol. 6 No. 4 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i4.52541

Abstract

Background: Conventional Total Knee Arthroplasty (C-TKA) still faces challenges with high patient dissatisfaction rates, often linked to malalignment. Robot-Assisted TKA (RA-TKA) was developed to improve surgical precision. Despite its rapid adoption, there are conflicting findings regarding its advantages over C-TKA, along with concerns about cost and the learning curve. Objective: This literature review aims to comprehensively analyze and compare RA-TKA with C-TKA, focusing on four domains: (1) surgical accuracy and alignment; (2) complication rates; (3) cost-effectiveness; and (4) clinical outcomes. Findings: The review found that RA-TKA consistently demonstrates superior accuracy in restoring the mechanical axis (HKA) and coronal alignment, significantly reducing the number of outliers. RA-TKA also facilitates dynamic soft tissue balancing. However, findings regarding sagittal plane accuracy (e.g., tibial slope) remain contradictory across different robotic platforms. RA-TKA consistently requires longer operative times, especially during the learning curve, and introduces new technical risks such as pin failure and pin-site fractures. While the risk of major complications (e.g., PJI) is comparable, RA-TKA shows a lower risk of postoperative stiffness (arthrofibrosis). Evidence on mid-term revision rates remains inconclusive. Cost-effectiveness analysis shows that the high initial capital cost necessitates a very high procedural volume to achieve cost efficiency. Conclusion: RA-TKA offers clear advantages in coronal alignment precision but is offset by high costs, longer operative times, and specific robotic complications.

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