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The identification of academic flagship areas is crucial for higher education institutions as it helps enhance academic reputation and produce graduates who are competent in the workforce. However, the determination of these flagship areas is often subjective. Therefore, this study aims to identify the academic flagship areas at XYZ University using the Topic Modeling Latent Dirichlet Allocation (LDA) method. In this study, the LDA method is specifically used in the research field to analyze research journals at XYZ University from 2017 to 2021. The research results reveal three main topics that dominate the academic publications at XYZ University: business risk analysis, application system implementation particularly related to the pandemic, and information management with a framework in information technology. Based on this analysis, the flagship areas of XYZ University can be concluded to be in the fields of Information Technology and Business. Consequently, the University can more efficiently direct research resources and academic programs, as well as strengthen collaborations and its reputation as a center of excellence in these fields.

In an increasingly complex era of globalization, companies are expected not only to be profit-oriented, but also to pay attention to their social responsibility. This study aims to analyze the effect of business ethics on the effectiveness of Corporate Social Responsibility (CSR) programs in companies listed on the Indonesia Stock Exchange (IDX). The method used is quantitative analysis with a Structural Equation Modeling (SEM) approach using data from questionnaires distributed to 100-150 companies during the 2019-2023 period. The results of the analysis show that there is a significant relationship between business ethics and CSR performance, where companies that apply ethical principles tend to have more effective CSR programs. The implications of this study emphasize the importance of integrating ethics in business strategy to enhance corporate reputation and meet stakeholder expectations. This study also provides recommendations for companies and policy makers to formulate policies that support ethics-based CSR practices.

This study aims to analyze the influence of discipline, competence, and work environment on employee performance at the Southwest Aceh Regency Secretariat. The method used is quantitative with a survey approach. Data was collected through a questionnaire using the Likert scale and involved 30 respondents who were secretariat employees. Data analysis was carried out using the Partial Least Squares-Structural Equation Modeling (PLS-SEM) method. The results of the study show that discipline, competence, and work environment have a positive effect on employee performance. The reliability test of the instrument showed a Composite Reliability value of more than 0.7, which indicates that the research instrument has a good level of internal consistency. These findings show that improving discipline, competence, and a conducive work environment can improve employee performance at the Southwest Aceh Regency Secretariat. This research has implications for local governments in designing policies that focus on improving work discipline, developing employee competencies, and creating a more productive work environment to increase organizational work effectiveness.

Significant changes have occurred in the economy, especially in developing countries such as Indonesia, where the economic, development and industrial sectors continue to improve. Manufacturing companies in the cosmetics subsector are an industry that has quite intense competition in Indonesia. According to the first quarter of 2020 data from the Central Bureau of Statistics, the market growth of this industry averaged 5.59% per year. This is expected to continue in the coming year. The implementation of supply chain management (SCM) will support organizations to have a good performance system. PT Zoey Cosmedica Putra (Maklon Kosmetik) is one of the manufacturing companies engaged in the cosmetics industry. The purpose of this study is to analyze the effect of supply chain management on company performance. Data processing using the Structural Equation Modeling - Partial Least Square (SEM-PLS) method using Smart PLS software version 4.0. The results of SCM factor analysis research measured by independent variables, namely relationships with suppliers (X1), relationships with customers (X2) and the level of information sharing (X3) with the dependent variable, namely company performance (Y). Shows X1 and X3 hypotheses have an influence, while the X2 hypothesis has no effect.

This research investigates the potential of integrating waste heat recovery and geothermal exchange within district heating systems as a carbon-neutral energy solution tailored to tropical urban settings. Tropical climates present unique challenges for heating, ventilation, and air conditioning (HVAC) systems, including high humidity, temperature fluctuations, and increasing energy demands, particularly for cooling. This study aims to address these challenges by proposing a hybrid district heating system that combines renewable energy sources to improve energy efficiency and reduce carbon emissions. The methodology includes thermal and hydraulic modeling, performance simulation of the hybrid system under tropical climate conditions, and emission and energy efficiency analysis. The results indicate that the hybrid system significantly reduces energy consumption and carbon emissions compared to traditional heating systems, with waste heat recovery optimizing energy use and geothermal exchange enhancing system efficiency. The comparison with conventional systems and other environmentally friendly alternatives reveals that the hybrid system offers a cost-effective, sustainable solution for tropical urban areas. The study concludes that integrating waste heat recovery and geothermal exchange is feasible and can contribute to the creation of carbon-neutral cities. Future research should focus on optimizing geothermal systems in tropical climates and exploring further integration with other renewable energy sources to enhance system performance and sustainability.

The maritime sector is critical for global trade and economic development, yet challenges in workforce development persist, particularly in tanker operations handling dry bulk cargo like agricultural products. This research investigates the interplay between recruitment strategies, crew competencies, and ship operational performance, with a focus on PT Sillo Maritime Perdana Tbk, a key player in Indonesia’s offshore shipping sector. Addressing gaps in aligning workforce development with industry demands, this study explores the effectiveness of recruitment practices and competency development within the operational context of this organization. This study aimed to evaluate the influence of recruitment strategies and crew work competencies, individually and collectively, on improving operational performance at PT Sillo Maritime Perdana Tbk. Using a mixed-methods approach, the research employed Statistical Equation Modeling (SEM) to analyze quantitative data from 117 participants and conducted thematic analysis of qualitative insights from experts, lecturers, graduates, and head workers. The results revealed that recruitment strategies and crew competencies significantly contribute to operational performance, with a combined positive effect observed. Structured recruitment and ongoing skill development tailored to industry demands were identified as critical. The findings also highlighted the transformative role of educational technology in bridging the gap between academic training and operational realities. The study provides actionable insights for PT Sillo Maritime Perdana Tbk and similar organizations, emphasizing the need for collaborative efforts to enhance workforce readiness, operational efficiency, and sustainability in maritime activities.

Background: Digitalization is fundamentally reshaping health financing, enabling more efficient management of healthcare resources, improving service delivery, and increasing accessibility. This systematic review explores the intersection of digital tools and financial health systems, examining their transformative potential.Objective: The primary aim of this review is to identify the impact of digitalization on healthcare financial management, highlighting its benefits and addressing the challenges that arise during its implementation.Methods: A systematic review of 10 studies was conducted, focusing on digital health financing and employing PRISMA guidelines to ensure rigorous selection and analysis. The data extraction process identified thematic relevance, methodological rigor, and contextual insights.Results: The findings reveal that digitalization enhances resource allocation, patient accessibility, and administrative efficiency. Technologies such as blockchain and artificial intelligence optimize transparency and predictive financial modeling. However, significant challenges include data security vulnerabilities and the integration of digital tools with legacy systems.Conclusion: Digital technologies present transformative potential for healthcare financing. However, strategic implementation, robust governance, and cross-sector collaboration are critical to overcoming challenges and maximizing the benefits of digitalization. By addressing these needs, digitalization can create sustainable, inclusive, and equitable healthcare systems for the future.

Along with the advancement of time, technology in the era of globalization demands that humans work more professionally, and it is required in various fields or public institutions and organizations that use computers to support operational activities and internet networks across different levels of society. SMP Negeri 4 Mauliru is one of the Junior High Schools located in Mauliru Village, Kambera District, East Sumba Regency, East Nusa Tenggara Province. This school has a mission to improve the quality of education and always strives to provide quality guidance to its students. The payment of the Committee Fund is an agreement among the parents or guardians of students to support the school's needs that are not covered by the BOS (School Operational Assistance) funds. One of the school's operational activities that is essential for supporting the Committee Fund payment system still uses a conventional system, particularly in the preparation and payment of the committee fund, where a ledger book is still used for recording payments. This results in a long process and frequent errors in ledger book entries. The Committee Fund is a recurring payment that students must pay to the school once a month. The purpose of this research is to create a Web-Based Committee Fund Payment Information System at SMP Negeri 4 Mauliru to facilitate the school treasurer in recording committee fund payments in the ledger book. This research uses the waterfall development method. Waterfall is the most commonly used software development model. Several stages in the waterfall model include: Analysis, Design, Implementation, Testing, and Maintenance. Based on the results obtained, the average value of 70% falls within the "acceptable" range with a grade scale of "C" and adjective ratings in the "OK" category. Thus, the developed payment information system is suitable for simplifying the committee payment process for students.

The studies of J. Lave and L. Silverman, which, with the help of the proximity technique,demonstrated that only through a closeness between time and space can relevant results be obtained toachieve a superior performance under the given conditions of the current health system, in our opinion,outlines the idea that the application of the Time-Driven Activity-Based Costing (TD-ABC) method is themost suitable solution. The complexity of TD-ABC operations is found in the time equations needed todetermine the resources consumed by each activity. Using these equations, it is easy to update the modelby adding an additional activity. This simplification would allow the multiplication of the activities to betreated without presenting difficulties in the distribution of resources. In fact, what we have here isclearly an "autonomous method of equivalence" that uses working time as a unit of equivalence. Themain objective of our concerns is to identify the determinants of the time required to start, perform andcomplete medical procedures in an ambulatory clinic organized in 15 medical offices. As a reaction to thecriticisms of some authors regarding the difficulty of measuring time for establishing the time drivers ofthe TD-ABC method, in the scientific approach carried out we tried to model the activity times with thehelp of the multiple regression model. We believe that the values ​​estimated and obtained with the help ofthe Automatic Linear Modeling factor analysis model eliminate the imperfection of the TD-ABC methodhighlighted by the authors S. Hoozée et al (2009) regarding subjectivity and instability in themeasurement of activity times.

This research was conducted to obtain an overview of the influence of transactional leadership on employee performance through job satisfaction as a mediating variable in car variations in Jambi City and to find out whether there is a mediating role of job satisfaction on the influence of leadership on employee performance. This type of research is quantitative. The data collection technique uses Structural equation modeling (SEM) with the SmartPLS program. The results show that transactional leadership and job satisfaction have a significant influence on employee performance, and job satisfaction has a mediating role.

:Pakistan is a developing country. Its transportation infrastructure mainly consists of road network. About 95% passengers and fright is transported using the road network. This high demand on road network is because of the unreliable railway system between the cities. Due to such high demand on road network the accident involvement risk of an individual is much high as compared to developed countries. This study uses a new modeling approach to estimate road safety risk for WTP.  A correlated random parameters Tobit model (heterogeneity-in-mean) is integrated with machine learning (Decision tree).  The decision tree categorizes higher-order interactions, while the model captures unobserved correlations and heterogeneity. The framework examines WTP determinants using a representative sample of 3178 road users from Pakistan. The model estimates WTP for different (fatal and severe injury) risk reductions to monetize road traffic crash costs. Results show maximum respondents are willing to support safety improvement policies. The model reveals significant WTP heterogeneity linked to perceptions of road safety and accident risk. Systematic preference heterogeneity emerges through higher-order interactions, offering insights into WTP relationships. Marginal effects highlight varying sensitivities to explanatory variables, quantifying their impact on WTP probability and magnitude. The framework provides two key contributions. It identifies public WTP determinants, emphasizing heterogeneous effects. It also helps in prioritization safety policies by understanding public sensitivity to WTP. The insights further emphasizing on the importance of road safety interventions to the specific socio-economic profiles of road users. This study offers a significant contribution to road safety improvement by providing valuable recommendations for policy makers. By integrating detailed socio-economic factors, it also addresses the urgent need for targeted traffic safety interventions in Pakistan. These findings are expected to aid policymakers and stakeholders in developing effective strategies to enhance road safety and reduce the accident involvement risk effectively.

One of the biggest problems faced by several countries is the rapid increase in population growth, especially in an archipelagic country like Indonesia. One of the cities in North Sumatra Province that has experienced a significant increase in population is Medan City. This study discusses the population growth each year in Medan City. This study predicts the future population by combining historical data on population, birth rate, death rate, and migration using the Adams-Bashforth-Moulton approach in logistic modeling. This study shows the progress of the approach in predicting the population growth of Medan City. With an area of ​​265.10 thousand km2, and a population reaching 2,474,166 people in 2023. The Adams-Bashforth-Moulton method as a logistic growth model is very effective for decision making in predicting population growth in the city of Medan.

The XYZ Health Center faces challenges in managing the outpatient registration process manually, often resulting in long queues, extended waiting times, and data inaccuracies. To address these issues, this study aims to design and develop an Android-based outpatient registration application. The application is intended to simplify the registration process for patients, allowing them to register for visits without needing to visit the health center in person, while also enabling healthcare staff to manage patient data more efficiently. The methodology employed in this study includes requirements analysis and system design using the Unified Modeling Language (UML). The application features online registration, doctor schedules, visit reminder notifications, and patient data management. This study concludes that the Android-based application can serve as an effective and efficient solution for improving health center services. Further development is recommended to enable integration with other healthcare systems.

The fitness supplement industry in Indonesia is experiencing rapid growth due to increasing public interest in healthy lifestyles. In this competitive market, the Evolene brand faces the challenge of maintaining customer loyalty. This study aims to analyze the effect of price, product quality, and promotion on customer loyalty to the Evolene brand. The research uses a quantitative approach with the Structural Equation Modeling (SEM) method based on Partial Least Squares (PLS). Data was collected through a questionnaire distributed to 100 respondents who had purchased Evolene products. The results showed that the three variables price, product quality, and promotion had a significant effect on customer loyalty. Promotion has the greatest influence compared to other variables, followed by product quality and price. In addition, the validity and reliability of the measurement instruments have been tested using outer model analysis, which shows valid and reliable results. Limitations of the study include sampling limited to Evolene customers as well as external factors such as market trends that cannot be fully controlled. This study recommends companies to integrate competitive pricing strategies, maintain product quality, and optimize digital promotions to strengthen customer loyalty.  

E-commerce is all activities selling goods and services carried out through electronic media. Shrimp Cracker Shop, is a business that operates in the field of selling typical souvenirs. Currently, sales of goods are still carried out manually, namely by buyers coming directly to the shop or by purchasing by telephone. This type of research uses a descriptive method with a qualitative approach. This research provides an accurate description and explanation of the conditions or symptoms faced. The materials used in this research are data obtained from the results of interviews and later the results of the interviews can find out what needs are needed to build a website. System Design Methods in Designing a The system definitely requires modeling so that the results of the system design that you want to achieve can obtain maximum results. What the author uses is Unified Modeling Langue (UML). Which consists of use case diagrams, class diagrams, and activity diagrams. In this research the author uses the Rapid Application Development system development method. The software development method in this research uses the Rapid Application Development (RAD) model system development method. After the design is carried out, the researcher draws conclusions namely the e-commerce design of the Manda Shrimp Cracker Shop was successfully created to help promotion and sales. The results of testing the Blackbox Testing software system were declared successful, and the feasibility test using a Likert scale resulted in a score of 93% (very feasible). Overall, the results were successful and in accordance with what was designed.

In the rapid development of social media, the role of influencers in marketing on social media is increasingly important in shaping consumer behavior, including purchasing intentions. The aim of this research is to determine the influence of influencer credibility and brand-influencer suitability on purchase intentions via Electronic Word-of-Mouth (eWOM) as a mediating variable in the context of marketing on social media, especially Instagram. This research uses a quantitative method using primary data obtained through distributing questionnaires to 145 respondents who come from the Jabodetabek area and know about the skincare brand Somethinc and the beauty influencer, Tasya Faraysa, on the Instagram platform. Data analysis was carried out using Structural Equation Modeling (SEM) to evaluate the level of significance and relationship between various variables. The research results show that influencer credibility and brand-influencer fit have a positive influence on eWOM, which in turn influences consumer purchase intentions. The managerial implications of these findings emphasize the importance of considering brand-influencer credibility and suitability in marketing strategies on social media, as well as exploiting the potential of eWOM as a mediator to increase consumer purchase intentions. From the research results obtained, researchers suggest involving a wider sample and a variety of influencers and brands to generalize the findings, as well as deepen understanding of the influence mechanisms of influencers and eWOM on consumer purchase intentions.

Consumer behaviour in modern businesses has been greatly altered by technological advancements, leading to the use of digital marketing strategies and social media. These strategies allow businesses to interact with customers, build personalised relationships, and conduct more effective product promotions. Digital marketing and celebrity endorsements are increasingly used in purchasing decisions in Indonesia, especially in the fashion industry. The purpose of this research is to study how celebrity endorsement and digital advertising influence the decision of Surakarta City consumers to buy Erigo products. For this study, quantitative methods were used, data were collected through questionnaires distributed to 150 consumers of Erigo products in Surakarta City. Structural Equation Modeling (SEM) data analysis with the Partial Least Square (PLS) approach was used. The results showed that celebrity endorsement and digital marketing have a significant positive effect on consumer decisions to buy Erigo products in Surakarta city. The limitation of this research is that it is quantitative in nature and does not thoroughly study how consumers perceive the influence of digital marketing and celebrity endorsements culturally and psychologically. This research can provide broader insights into consumer behavior.

Indonesia's dependence on oil and gas imports has become a significant challenge to the country's economic stability, with impacts on the trade deficit, global energy price fluctuations, and fiscal dependence. This study aims to evaluate the economic impact of efforts to reduce Indonesia's dependence on oil and gas imports, focusing on the implications for economic growth, trade balance, and national energy security. The methods used include secondary data analysis, macroeconomic modeling, and simulation of the impact of energy policies such as increasing domestic oil and gas production, energy diversification, and renewable energy development. The results show that reducing dependence on oil and gas imports has the potential to reduce pressure on the trade balance and foreign exchange reserves, and improve long-term energy security. However, the transition to domestic energy security requires large investments in the renewable energy sector, supporting infrastructure, and policies that support energy efficiency. This study suggests the need for an integrated policy strategy between the government, private sector, and society to achieve the goal of reducing oil and gas dependence and improving Indonesia's economic competitiveness.

The purpose of this study was to examine the effects of leadership style and work stress on turnover intention. A quantitative approach was employed, with the research focusing on a causal, or cause-and-effect, relationship. Data were collected through surveys using questionnaires distributed to participants selected as the study's subjects. Causal research aims to identify the cause-and-effect relationships between variables, specifically the independent and dependent variables. This study utilized a saturated sampling technique, where the entire population—comprising 35 employees—was included in the sample. Structural Equation Modeling (SEM) with Partial Least Squares (PLS) analysis was conducted using the Smart PLS 3.2.9 software. The study's findings revealed that leadership style directly influences turnover intention, while work stress does not significantly impact turnover intention.

Military personnel performance is a crucial factor in achieving operational effectiveness, especially at the TNI AL IV Batam Main Base. Although adaptability and dual positions have been shown to have a significant effect on personnel performance, there is a knowledge gap regarding how superior support can moderate the relationship. This study aims to analyze the effect of adaptability on personnel performance, with superior support as a moderating variable, which is a new aspect and has not been widely studied in the military context. A quantitative approach was used in this study, using the Structural Equation Modeling (SEM) method through AMOS software. Data were obtained from 30 respondents who were military personnel at the TNI AL IV Batam Main Base. The results showed that adaptability and dual positions had a positive and significant effect on personnel performance. In addition, superior support was shown to moderate the relationship between adaptability and dual positions with performance, strengthening the influence of both factors. The model used in this study also showed good fit, so it can be relied on to explain the relationship between variables. These findings fill the gap in previous research and emphasize the importance of developing adaptability, effective dual-job management, and superior support in order to improve the performance of military personnel in a dynamic and challenging work environment