Ventricular Septal Defect Posterior to Acute Myocardial Infarction

/in /by

We present the case of an 84-year-old woman who arrived at our unit with chest pain of cardiac origin, a Wellens type A pattern on the electrocardiogram, and on physical examination, a holosystolic murmur at the tricuspid and mitral areas radiating to the right parasternal border—a finding suggestive of ventricular septal defect. She was admitted to the Coronary Care Unit for continuous monitoring. Transthoracic echocardiography revealed rupture of the interventricular septum, along with an image compatible with a dissecting interventricular hematoma. These findings confirmed the presence of a left-to-right shunt. This case highlights the essential role of echocardiography in the early detection of mechanical complications following acute myocardial infarction, and underscores the complexity of managing post-infarction septal rupture in elderly patients.

Building Customer Loyalty in B2B Logistics: The Interplay of Trust, Perceived Risk, and Perceived Value in Indonesia’s Trucking Industry

/in /by

This research analyzes the determinants of customer loyalty in Indonesia’s B2B logistics industry, particularly in the trucking sector, focusing on trust, perceived risk, and perceived value. Adopting a quantitative approach, this study samples businesses that use trucking services and examines how the mentioned variables influence enduring customer loyalty. Using comprehensive industry theoretical models, we prepared a structured questionnaire and subsequently collected data from many firms spanning multiple industries that depended on trucking logistics. The research employs advanced statistical methods such as factor analysis and SEM to evaluate the relationships between the key constructs trust, perceived risk, perceived value, and customer loyalty. The findings underscore the role of perceived value as the foremost predictor of customer loyalty; trust only affects loyalty indirectly through its impact on perceived value. The findings suggest that perceived risk should be accepted in high choice or digitized markets, implying organizations need more emphasis on trust and its actual outcome. The study demonstrates that strategically managing perceptions of trust, risk, and value is critical for enhancing.

The Effect of Environmental Management System, Green Investment, Company Size, Profitability, and Public Accounting Firm Reputation on Carbon Emission Disclosure in Energy Sector Companies Listed on the IDX in the Period 2019-2023

/in /by

This research aims to investigate and empirically prove the impact of environmental management systems, green investment, company size, profitability, and public accounting firms’ reputations on carbon emission disclosure. The study’s population consists of companies in the energy industry listed on the IDX between 2019 and 2023. We selected the study sample using a census sampling approach that yielded 219 observations. We used the Eviews 12 software for panel data regression analysis as our data analysis method. According to the study’s findings, carbon emission disclosure is positively and significantly impacted by environmental management systems and company size but not by green investment, profitability, and public accounting firms’ reputations.

The Impact of AI on The Learning Habits of HEI Students

/in /by

The old paradigms of education are being disrupted as a result of the growing incorporation of artificial intelligence (AI) technology into higher education institutions (HEIs). The purpose of this study is to evaluate the influence that artificial intelligence-driven tools and platforms, such as adaptive learning systems, intelligent tutoring systems, automated feedback mechanisms, and AI-based content recommendation engines, have on the behaviour of students who are enrolled in higher education institutions. The research finds major changes in students’ study behaviours, time management, and learning preferences. This is accomplished via the use of a mixed-methods approach, which combines quantitative surveys and qualitative interviews with undergraduate and postgraduate students from a wide range of academic fields. The findings indicate a trend towards learning experiences that are more personalized, autonomous, and on-demand. This transition is made possible by the ability of artificial intelligence to analyse individual learning patterns and present information that is suited to those patterns. An over dependence on artificial intelligence, a decrease in critical thinking, and digital exhaustion are some of the concerns that are brought to light by the study. The final section of the study emphasises the importance of integrating artificial intelligence in a way that is balanced, so that it may improve learning outcomes while maintaining cognitive engagement and academic integrity.

The Impact of Study Habits on Academic performance: A Meta-Analysis

/in /by

This meta-analysis investigates the relationship between students’ study habits and their academic performance across a range of educational levels and cultural settings. The study synthesizes findings from fifteen empirical studies selected through a systematic review of academic databases. These studies employed various research methodologies, including quantitative, qualitative, and mixed-method designs. They examined the impact of behaviors such as time management, note-taking, goal setting, and self-testing on academic outcomes. The analysis reveals a positive association between effective study habits and academic performance. However, the strength of this relationship varies depending on factors such as educational level, cultural background, gender, learning environment, and institutional support. While many studies report a significant correlation, others show weak or non-significant results, highlighting the complexity of this relationship and the influence of contextual variables. This meta-analysis underscores the importance of integrating structured study skills training into educational programs and developing targeted interventions tailored to students’ individual needs and learning contexts. The findings contribute to a deeper understanding of how study behaviors affect academic success and offer practical implications for educators, academic advisors, and policymakers aiming to enhance student learning outcomes.

Investigation of Seasonal Fluctuations in Water Quality at Backwater Locations of Nathsagar Dam, Maharashtra

/in /by

The backwaters of Jayakwadi Dam, situated on the Godavari River in Maharashtra, constitute a critical water resource for the drought-prone Marathwada region. Known as the Nath Sagar Reservoir, this expansive water body plays a vital role in sustaining ecological balance and supporting human activities. It serves as a primary source of drinking water, irrigation, and industrial use, particularly benefiting the urban and peri-urban areas of Chhatrapati Sambhajinagar. During periods of water scarcity, the reservoir ensures water availability for both rural and urban populations, highlighting its regional importance.

This study aims to evaluate the Water Quality Index (WQI) of surface water from selected backwater stations of the Nath Sagar Reservoir to determine its suitability for domestic, agricultural, and industrial applications. Water samples were collected from multiple locations and analyzed for ten key physicochemical parameters: pH, electrical conductivity, total dissolved solids (TDS), chlorides, nitrates, sulphates, total alkalinity, total hardness, biological oxygen demand (BOD), and dissolved oxygen (DO). These indicators were selected for their significance in assessing water quality and potential environmental and health impacts.

The Analysis of Job Satisfaction and Employee Experience on Turnover Intention in Telecommunication Service Companies

/in /by

Employee turnover is a rising issue in Indonesia’s information and communication sector. PT XYZ reported a turnover rate of 17.2% in 2024. This study investigates the influence of job satisfaction and employee experience on turnover intention among PT XYZ’s permanent employees. Grounded in Job Characteristics Model (Hackman & Oldham, 1976), Organizational Commitment Theory (Allen & Meyer, 2000), and Turnover Process Theory (Mobley, 1977), this research uses a quantitative method involving 45 respondents. Descriptive statistics show both job satisfaction (mean = 3.24) and employee experience (mean = 2.53) at “Fair” levels. Turnover intention also scored “Fair” (mean = 2.14), signaling moderate retention risks. Pearson correlation shows significant negative relationships between job satisfaction (r = -0.482), employee experience (r = -0.404), and turnover intention. Multiple linear regression reveals job satisfaction as a marginally significant predictor of turnover intention (B = -0.480, p = 0.059), while employee experience has no significant effect.The study proposes data-driven solutions including improvements in compensation, career growth, recognition, and conflict resolution. Findings offer practical insight into PT XYZ and support future research on turnover dynamics.

Unveiling the Drivers of Tourist Loyalty: The Impact of Service Quality, Social Media Marketing, and Destination Image on Revisit Intention at Borobudur Temple, Indonesia

/in /by

This research explores the service quality, social media marketing, and destination image to assess how each significantly influences the tourists’ intention to revisit the Borobudur Temple, a cultural heritage site in Southeast Asia. This study is based on the theory of relationship marketing and destination branding and uses quantitative approach in the design of the research which employed SEM on survey data collected from 250 domestic and international visitors. The findings show that the social media marketing, as well as the service quality of the site, have both significant and positive influences on the intent to revisit and the image of the destination, while the destination image positively affects revisit intention. From this study, it can be concluded that it is critical to improve the service provided and the positive perception of the place using social media, especially in marketing and online brand promotion. In terms of theory, this study merges practice and digital marketing within the heritage tourism loyalty framework. Actionable strategies are provided to tourism policy makers and those responsible for marketing the region, stating that there should be a blend of excellent services on site and active online interaction to achieve tourist loyalty. The study recommends branding tailored to the expectation of the modern traveler, which is sensitive to culture but digitally connected. This research provides an empirical model aimed at reinforcing the intention to revisit cultural heritage sites which contributes to sustainable development of the destination.

Project Management Strategy to Get Project Expansion Using Value-Focused Thinking and Analytical Hierarcy Process (Case Study: PT PLN Nusantara Power Construction)

/in /by

PLN Nusantara Power Construction (PLN NPC) is a second-tier company of PT Perusahaan Listrik Negara (Persero) and is under the auspices of PT PLN Nusantara Power. Currently, PLN NPC has been trusted to participate in a global project, namely ECRL (East Coast Rail Link) in Malaysia, which is also the first global project for PLN NPC. ECRL (East Cost Rail Link) is an electrified double-track railroad project being built by the Malaysian government under the auspices of Malaysia Rail Link Sdn Bhd. The project has been under construction since 2019, and it runs from Malaysia’s eastern tip (Kelantan, Terengganu, Pahang) to its western tip (Selangor, Putrajaya), with a railroad length of +665 kilometers.

The EPCC project, which is being carried out by PLN NPC at ECRL Malaysia, includes numerous areas such as the development of electricity power infrastructure, the procurement of labor engineers, procurement and construction. This project was implemented successfully. However, by the beginning of 2025, PLN NPC saw an opportunity to add and expand the Malaysia ECRL project. Given this possibility, PLN NPC must take strategic movement to capitalize on it and expand the project.

The author’s analysis through interviews and brainstorming with experts and further analysis using Value Focused Thinking (VFT) shows that there are five alternative strategies that PLN NPC can implement to obtain project expansion in the ECRL project: (1) Enhance Company Assets in Technology, (2) Networking with Global Companies, (3) Increase Contracts with Subcontractors, (4) Engage & Communicate with Stakeholders, (5) Monitoring Stakeholder Movement. The next methodological approach to determine which alternative strategy is appropriate for PLN NPC is the use of the Analytic Hierarchy Process (AHP), which indicates that Networking with Global Companies is the appropriate alternative strategy for PLN NPC to achieve the objectives of the ECRL project, namely project expansion.

Exploration Analysis on the Global Frameworks of Quality and Quality Indicators in VET: Comparison, Inferences and Implications

/in /by

This article synthesizes findings from various documents for Quality in Education in the field of VET and focusses on the “Quality indicators in vocational education and training: International perspectives” and related European Union (EU) documents to explore frameworks for quality assurance in Vocational Education and Training (EQAVET). It scrutinizes the evolution of VET quality assessment, examining the shift towards systematic monitoring and the “fabrication” as well as integration of diverse quality indicators within different context. It compares the approaches in the EU and the United States, and also identifies the importance of stakeholder involvement, harmonization, and responsiveness to labour market needs, and etc.  Discusses are the challenges and opportunities in aligning national VET systems with international standards, particularly within the context of EU integration. The analysis emphasizes the need for a holistic approach to quality measurement that considers both quantitative and qualitative factors. The article tries to explain the core concepts of the EU’ strategies of the “quality indicators”  to enhance VET effectiveness and relevance in a rapidly changing landscape.