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Working on a project requires careful planning, so that it can be carried out with optimal time and cost. However, in practice, the implementation of project work usually encounters obstacles that cause schedule delays which result in cost overruns. Therefore, to determine the accuracy of the implementation of a project, routine evaluation and analysis is carried out with the aim of knowing how the progress of a project is progressing. In this research, the Earned Value Analysis method is used to examine trends in schedule variance and cost variance in a period (time) during the project. Based on the calculations and analysis carried out, it can be concluded that there were no delays in the implementation of the Kapal X construction project at X company, the work was carried out according to the predetermined schedule, even faster than the previously planned schedule. Based on the results of the analysis of project completion projections in terms of time, the results for the projected remaining work time (ETS) were 268 days and for the projected total project completion time to completion (EAS) it was 594 days or 306 days faster than the initial plan of 900 days.    

The era of industrial revolution 4.0 has had a major impact on the digitalization process in all fields. Including the use of social media which has dramatically changed marketing trends in the world from conventional to digital. Business people are targeting increasing brand awareness by utilizing digital marketing. The aim of this research is to determine the influence of digital marketing variables in increasing brand awareness about coral products among users of the @coraledukasi account. This research uses a quantitative approach, data obtained from a questionnaire distribution with 37 respondents and then analyzed using multiple linear regression analysis with the help of the SPSS version 22 application. The results of this research show that digital marketing simultaneously has a significant influence on brand awareness and partially on the variables accessibility and informative has a significant effect while the interactivity variable has no significant effect.

Bilateral cooperation between Indonesia and Taiwan has better growth every year, while import tariffs imposed by Taiwan on Indonesia export commodities are still relatively high. This study aims to identify and analyze commodities included in the request-offer scheme between Indonesia and Taiwan based on 2019 database. Identification and analysis of annual growth value, equivalent ad valorem tariff, average export value, export share, average Revealed Comparative Advantage (RCA) index, and RCA trend are carried out through inferential analysis. Inferential analysis is needed to determine the commodities contained in the request-offer scheme of Indonesia and Taiwan that have good performance but are still subject to high import tariffs by their partner countries. Indonesia's export commodities to Taiwan which have a good performance while the import tariffs are still high are given by Taiwan to Indonesia as Indonesia's request scheme to Taiwan, namely: processed food (ofd); tobacco (b_t); vegetables, fruits, and nuts (v_f); and fishery commodities (fsh). Taiwan export commodities to Indonesia that have good performance but are still subject to high import tariffs by Indonesia are Indonesia's offer scheme to Taiwan, namely: manufacturing (lum); cosmetics (crp); miscellaneous edible preparations (ofd); and textiles (tex). Indonesia and Taiwan can increase bilateral cooperation in the field of international trade through barriers lowering schemes and transferring science and technology from each country.

Social media has become a crucial platform for Generation Z to stay updated on the latest trends and access information. The influence of influencers and celebrities on social media often encourages Generation Z to participate in these trends, even if it means compromising their financial stability. This study aimed to investigate the extent to which the fear of missing out (FoMO) affects Generation Z's financial well-being. Using a quantitative approach and comparative causal research method, 101 Generation Z respondents were involved in the study. The analysis revealed that FoMO has a significant impact on Generation Z's financial health, including the use of debt to keep up with the latest trends, which can ultimately lead to serious financial problems. The results showed that the fear of missing out on social media significantly contributes to the financial health of Generation Z, with a regression equation of Y = 39.220 - 0.572 X and a significance value (p) of 0.000 (less than 0.05), indicating that the hypothesis is accepted. In other words, the fear of missing out on social media has a significant negative impact on the financial health of Generation Z, accounting for 48.3% of the financial health of Generation Z

Bilateral cooperation between Indonesia and Taiwan has better growth every year, while import tariffs imposed by Taiwan on Indonesia export commodities are still relatively high. This study aims to identify and analyze commodities included in the request-offer scheme between Indonesia and Taiwan based on 2019 database. Identification and analysis of annual growth value, equivalent ad valorem tariff, average export value, export share, average Revealed Comparative Advantage (RCA) index, and RCA trend are carried out through inferential analysis. Inferential analysis is needed to determine the commodities contained in the request-offer scheme of Indonesia and Taiwan that have good performance but are still subject to high import tariffs by their partner countries. Indonesia's export commodities to Taiwan which have a good performance while the import tariffs are still high are given by Taiwan to Indonesia as Indonesia's request scheme to Taiwan, namely: processed food (ofd); tobacco (b_t); vegetables, fruits, and nuts (v_f); and fishery commodities (fsh). Taiwan export commodities to Indonesia that have good performance but are still subject to high import tariffs by Indonesia are Indonesia's offer scheme to Taiwan, namely: manufacturing (lum); cosmetics (crp); miscellaneous edible preparations (ofd); and textiles (tex). Indonesia and Taiwan can increase bilateral cooperation in the field of international trade through barriers lowering schemes and transferring science and technology from each country.    

This systematic literature review evaluates the existing research on capital structure and financing decisions within the property and real estate sector of Southeast Asia (ASEAN). Despite the sector's dynamic growth and substantial investments, the financial strategies specific to ASEAN remain minimally explored. A methodical review of scholarly articles from ScienceDirect, and Google Scholar spanning from 2000 to 2023. Our analysis identified prevalent themes and trends, notably the application of traditional capital structure theories such as pecking order and trade-off theories to more developed markets. However, the review highlights a significant gap in empirical research focusing on the unique economic, regulatory, and market conditions in ASEAN that crucially impact capital structure and financing choices in the region's property sector. The findings emphasize the need for more targeted empirical studies that account for the socio-economic diversity and specific institutional frameworks of ASEAN countries. These studies aim to enhance understanding of the financing behaviors in their property and real estate markets, thus aiding policymakers and investors in crafting informed strategies and policies.  

This research uses empirical legal methods to examine the integrity and credibility of the 2024 election organizers in Indonesia. Data was collected from various sources, including MK decisions, DKPP, election observer reports, academic publications, and related news. Data analysis was carried out to identify patterns, trends and implications for the integrity and credibility of election organizers, as well as evaluate the implementation of the General Principles of Good Government (AUPB) in organizing elections. The main objective of this research is to update the electoral system in Indonesia and ensure that elections are of quality, integrity and reliability. The research approach focuses on collecting empirical data from concrete cases during the 2024 Election and in-depth analysis of this data to identify emerging patterns and trends. Data analysis aims to evaluate the influence of political intervention, conflicts of interest, and compliance with legal rules and decisions on the integrity and credibility of election organizers. The results of the research will be compiled in a report that includes in-depth analysis of concrete cases, policy recommendations to improve the integrity and credibility of election organizers, as well as suggestions for improving the implementation of AUPB in the 2024 Election. This research is expected to provide a better understanding of the challenges and opportunities to ensure the integrity and credibility of election organizers in Indonesia, as well as providing concrete steps to improve the implementation of AUPB principles in the election context.

The Society 5.0 era is marked by the integration of digital technology in various aspects of life, including the tourism sector. Rapid technological changes, shifting tourist trends and diverse demands from tourists require the tourism sector to adapt according to the demands of the times so that answers are needed to the challenges faced by human resources in the tourism sector in the 5.0 era. This study uses a qualitative approach with a systematic literature review method. The literature approach related to tourism HR challenges was searched comprehensively using relevant keywords in searches through various online databases. The literature selection process was carried out by considering the reputation of the journal and the recency of the publication (last 7 years) and analyzed in depth using the content analysis method. The conclusion from the research findings is that the human resource challenges in the tourism sector in the era of Society 5.0 are: employee turnover trends, developing digital skills, diversity and inclusion, adopting new technology, work-life balance and developing partnerships with educational institutions. The implication of these findings is the importance of tourism sector business actors taking strategic steps in responding to human resource challenges so that the tourism sector remains relevant to current conditions and remains competitive in the Society 5.0 era.

Education stands as a dynamic force in human and societal development, continually evolving to meet shifting demands and needs. In this modern era marked by rapid transformations, the importance of keeping education abreast with the times cannot be overstated. One effective tool for rejuvenating and advancing education is the SWOT analysis. SWOT analysis, encapsulating Strengths, Weaknesses, Opportunities, and Threats, transcends its traditional business applications to offer profound insights in diverse domains, including education. In the realm of Christian Religious Education (CRE), a critical aspect of the educational landscape, SWOT analysis unveils avenues for both refinement and growth. This paper explores the application of SWOT analysis in the context of CRE, acknowledging its pivotal role in shaping individual character, values, and spiritual beliefs. Tracing the historical trajectory of CRE from ancient churches to contemporary times, the analysis underscores the foundational principles upon which CRE stands. Within the framework of CRE, SWOT analysis serves as a potent tool to discern existing dynamics and chart future trajectories. By identifying internal strengths such as robust faith traditions and biblically grounded curricula, opportunities for enriching CRE education emerge. Simultaneously, weaknesses such as resource constraints and technological integration challenges highlight areas ripe for improvement. Furthermore, SWOT analysis illuminates potential opportunities for CRE advancement, including technological integration and policy shifts. However, it also unveils threats such as societal value shifts and information overload that impede effective CRE delivery. In navigating these dynamics, effective educational management emerges as paramount. Without strategic oversight and management, the pursuit of excellence in CRE remains elusive. Hence, this study delves into the pivotal role of educational management in fostering the quality and efficacy of CRE. Utilizing an analytical methodology, this research delves deep into existing literature and textual sources to unravel insights and generate new knowledge. Through systematic analysis and interpretation, this study seeks to enrich the discourse on CRE and underscore the imperative of strategic planning and management. In conclusion, SWOT analysis emerges as a cornerstone in the enhancement of CRE. By systematically evaluating internal dynamics and external trends, SWOT analysis paves the way for informed decision-making and strategic interventions. Thus, this paper advocates for the systematic integration of SWOT analysis in CRE, heralding a new era of excellence and relevance in religious education.

This research adopts a qualitative approach with a literature review design, exploring the interaction between media and Public Relations (PR) during crisis situations. Utilizing secondary data sources such as journals and books, this study investigates the factors influencing the collaboration between media and PR, as well as effective communication strategies in crisis management. Data analysis identifies common patterns, themes, and trends emerging from the reviewed literature, providing a comprehensive understanding of the dynamics of the relationship between media and PR during crises. The research findings highlight the importance of transparency, prompt responsiveness, and solid collaboration between media and PR in effectively managing crises. The contribution of this study lies in deepening the understanding of the vital role of collaboration between media and PR in safeguarding the reputation and image of companies during crisis situations.

This research is intended to evaluate the marketing strategy implemented by the Mogobo Snack Tuban Micro Enterprise to increase their sales. Mogobo Snack is a micro business that produces fried meatball chips with a spicy taste as its characteristic. This research adopts qualitative methods using observation, interviews and documentation instruments. The findings from the research show that the Mogobo Snack Tuban Micro Enterprise implements a marketing strategy in the form of a marketing mix consisting of product, price, promotion and distribution elements. The strategy includes production of high-quality chips, pricing based on production costs, online and offline marketing, as well as promotion via social media and a door-to-door approach. The SWOT analysis shows several alternative strategies that Mogobo Snack can implement, such as increasing digital marketing, developing new products, collaborating with culinary influencers, and expanding into traditional markets. By implementing these strategies, Mogobo Snack can overcome the challenges of competition and changing consumer trends, thereby increasing sales volume and increasing its market share and profitability.

The fashion industry in 2024 will continue to develop along with developing trends, technology and consumer needs. The existence of the fashion industry as one of the largest industries in the world contributes to the Indonesian economy. In the Indonesian fashion industry, there are many local brands. One of them is the Hamlin brand. In mid-March 2024, Hamlin was hit by an issue of product counterfeiting. This issue prompted the author to carry out media monitoring to monitor and analyze updates related to conversations regarding the Hamlin brand, including specific, positive opinions and negative opinions that could affect the public's reputation and trust in the Hamlin brand. This research uses a descriptive qualitative approach. Research data was obtained from the results of analysis of reviews on several social media. Researchers also use secondary data in the form of journal articles, books and other literature on the internet. The theory used in this research is Erving Goffman's dramaturgical theory. The results of the analysis show that the issue of product counterfeiting involving the Hamlin Brand has significantly disrupted the brand's image and reputation. Hamlin Brand's ineffective response to this issue has exacerbated the situation and increased public doubt and distrust of the brand.

This research aims to analyze the effectiveness of the mixed economic model in controlling financial system stability in 7 emerging market countries. Where the monetary policy variables are the money supply and interest rates. Then the microprudential variables are Return On Equity and Return On Assets, the macroprudential variables are Capital Adequacy Ratio and Non Performing Loans. The financial system stability variables are the inflation level and exchange rate. The data analysis model in this research is the Simultaneous model. This research uses secondary data or time series, namely from 2019 to 2023. This analysis is significant for controlling the financial system by ensuring the data meets normality assumptions through the Jarque-Bera test, which allows for more precise financial planning and risk management decisions. The absence of autocorrelation effects, as proven in the residual test, also strengthens the reliability of the model in understanding market trends. The Two-Stage Least Squares method in simultaneous regression analysis provides in-depth insight into the relationship between economic variables such as the inflation rate and the exchange rate, supporting effective economic policy making. Understanding the elasticity of key variables to the inflation rate and exchange rate is also important for optimizing risk control strategies and financial resource allocation.

This study analyzes the transformation of economic education towards educational investment as a means of strengthening human resources (HR) through a bibliometric approach. By utilizing Scopus basic data and the VOSviewer analysis tool, the study examines the trends in publications over the past ten years, focusing on key areas such as educational economics, educational investment, and HR development. The findings highlight that innovations in educational economics, including the integration of digital technology, project-based learning, and collaborations between educational institutions, government, and industry, are crucial in enhancing the effectiveness of educational investments. Additionally, the study reveals that the proper allocation of educational funds for infrastructure development, improving teaching quality, and implementing skills-based training programs significantly contributes to increasing workforce competitiveness and promoting sustainable economic growth. The research emphasizes that educational investment strategies must be aligned with the needs of industry and global challenges to foster adaptive and innovative human resources. Moreover, it stresses the importance of designing educational policies that are comprehensive, addressing the aspirations of individuals and the relevance of education to the labor market. Ultimately, the study offers valuable academic insights and practical recommendations for policymakers, educational institutions, and other stakeholders. It also provides guidance for developing effective strategies that optimize educational investment and support the cultivation of superior HR capable of driving future economic progress.

The rapid growth of big data has significantly increased the demand for efficient and scalable data processing methods, particularly within cloud computing environments. This study aims to evaluate the effectiveness of distributed computing frameworks, specifically Apache Hadoop and Apache Spark, in optimizing big data processing. A qualitative approach using a Systematic Literature Review (SLR) method is employed to analyze existing studies related to distributed systems, cloud computing architectures, and performance optimization techniques. The analysis focuses on key performance indicators, including processing speed, resource utilization, and scalability, as well as the suitability of each framework for different data processing scenarios. The findings indicate that Apache Hadoop is highly effective for batch processing and storage-intensive tasks due to its disk-based architecture, while Apache Spark demonstrates superior performance in real-time and iterative processing through its in-memory computing capabilities. Additionally, system configuration factors such as cluster size, memory allocation, and network bandwidth are identified as critical elements influencing overall performance. The study also highlights emerging trends, including the adoption of hybrid cloud environments, the integration of artificial intelligence and machine learning, and the utilization of edge computing to enhance real-time data processing. In conclusion, distributed computing frameworks play a vital role in improving the efficiency and scalability of big data processing in cloud environments. The selection of an appropriate framework, combined with optimized system configuration, can significantly enhance operational performance and support data-driven decision-making.

This study explores the integration of predictive analytics into supply chain management within national e-commerce enterprises. Predictive analytics, which utilizes historical data combined with machine learning algorithms, regression analysis, and time series forecasting, has shown significant improvements in operational efficiency. The study focuses on four key areas: demand forecasting, inventory management, transportation optimization, and customer satisfaction. By predicting demand more accurately, e-commerce platforms can reduce stockouts and overstock situations, streamline logistics routes, and lower logistics costs. The implementation of predictive analytics led to a 20% reduction in delivery times and a 15% decrease in logistics costs, thereby enhancing customer satisfaction. However, the study also highlights challenges in integrating real-time data from multiple sources and scaling predictive models across diverse product categories and geographic regions. The results emphasize the need for e-commerce platforms to invest in technology that enables seamless data integration and the development of region-specific predictive models. The findings are compared with industry benchmarks, showing that the improvements in logistics and supply chain performance align with global trends. Based on these results, the study recommends best practices for implementing predictive analytics, including effective data collection, machine learning model training, and scalability considerations. By following these practices, e-commerce companies can optimize their supply chains, reduce operational costs, and increase customer satisfaction, positioning them for greater competitive advantage in the marketplace.

The gaming industry continues to grow rapidly, with various genres having different sales patterns. This research aims to group the best game genres based on sales patterns using the K-Means Medoid algorithm. This method was chosen because of its ability to overcome data diversity and reduce the influence of outliers compared to the conventional K-Means algorithm. The data used in this research includes game sales information from various platforms, which is then analyzed to find distribution patterns and market trends. The results of this research show that certain game genres have superior sales patterns compared to others, and there are special characteristics in the groups that are formed. These findings are expected to help game developers and publishers in making strategic decisions regarding the development and marketing of their products. In addition, this research also contributes to the development of a data-based recommendation system that can be used to understand market preferences more accurately.

Online learning has become a significant trend in modern education. The basic concept of learning in online learning plays a key role in dealing with the challenges and problems that arise along with technological development.  The main trend in online learning involves increased accessibility and flexibility. Technological advances allow learners to access course materials from anywhere and at any time. However, emerging issues include lack of social interaction and feelings of isolation. The basic concept of effective learning in online learning should address these issues. This research aims to examine the basic concept of learning in online learning: trends, problems and solutions. This research uses qualitative method with literature study taken from various sources, including print media, electronic media, books and electronic journals. The research technique is done through exploration and journal search through Google Scholar related to the basic concept of learning in online learning. As for primary and secondary sources in the form of scientific papers that have been published with a high credibility index, namely Sinta 2 to Sinta 5. The results of data analysis are taken from a literature review by means of researchers collecting data, and complete information from various data collection procedures and with a specified time. The collected data is analyzed by using descriptive method to reveal the facts of events written in statements derived from the data sources studied. The results show that, online learning is a growing trend in education. The basic concept of effective learning should consider accessibility, interaction, motivation, and evaluation. Careful solutions are recommended to overcome the problems that arise in online learning and ensure a meaningful learning experience for all participants.

The title of this thesis is Profile of Study Habits of Class VII A Students of SMPK Sancta Familia Kupang for the 2022/2023 Academic Year. The problems in this study are: 1) What is the profile of study habits of grade VIIA students of SMPK Sancta Familia Kupang for the 2022/2023 academic year? 2) What are the implications of the study habit profile of grade VIIA students of SMPK Sancta Familia Kupang for the 2022/2023 academic year for the tutoring program? The purpose of the study was to find out: 1) Profile of study habits of grade VIIA students of SMPK Sancta Familia Kupang for the 2022/2023 academic year, 2) Implications of the profile of study habits of grade VIIA students of SMPK Sancta Familia Kupang for the 2022/2023 academic year, for the tutoring program. This research method uses quantitative descriptive methods with data collection tools in the form of questionnaires of student study habits. The population and sample of this study are 26 students of grade VII A SMPK Sancta Familia Kupang for the 2022/2023 academic year. The data analysis technique used is central trend analysis. The results of the analysis of research data showed that the average study habits of 140.9730 students were in the range of 120-155 scores, classified as high. It can be interpreted that grade VII A students of SMPK Sancta Familia Kupang for the 2022/2023 academic year have good study habits. This can be seen through student attitudes, namely making study schedules and their implementation, reading and taking notes, completing assignments, how to follow lessons, how to study groups, how to study independently at home. Based on the results of this study, researchers provide advice to: 1) Head Schools are expected to maintain and improve cooperation with BK teachers, facilitate and support all tutoring program designs in schools to be carried out properly in order to maintain good student learning habits. 2) Guidance Teachers Guidance counselors are expected to design and develop tutoring programs to maintain good student study habits. 3) Students are expected to actively utilize tutoring activities carried out by BK teachers to maintain good student study habits.

The title of this thesis is Profile of Study Habits of Class VII A Students of SMPK Sancta Familia Kupang for the 2022/2023 Academic Year. The problems in this study are: 1) What is the profile of study habits of grade VIIA students of SMPK Sancta Familia Kupang for the 2022/2023 academic year? 2) What are the implications of the study habit profile of grade VIIA students of SMPK Sancta Familia Kupang for the 2022/2023 academic year for the tutoring program? The purpose of the study was to find out: 1) Profile of study habits of grade VIIA students of SMPK Sancta Familia Kupang for the 2022/2023 academic year, 2) Implications of the profile of study habits of grade VIIA students of SMPK Sancta Familia Kupang for the 2022/2023 academic year, for the tutoring program. This research method uses quantitative descriptive methods with data collection tools in the form of questionnaires of student study habits. The population and sample of this study are 26 students of grade VII A SMPK Sancta Familia Kupang for the 2022/2023 academic year. The data analysis technique used is central trend analysis. The results of the analysis of research data showed that the average study habits of 140.9730 students were in the range of 120-155 scores, classified as high. It can be interpreted that grade VII A students of SMPK Sancta Familia Kupang for the 2022/2023 academic year have good study habits. This can be seen through student attitudes, namely making study schedules and their implementation, reading and taking notes, completing assignments, how to follow lessons, how to study groups, how to study independently at home. Based on the results of this study, researchers provide advice to: 1) Head Schools are expected to maintain and improve cooperation with BK teachers, facilitate and support all tutoring program designs in schools to be carried out properly in order to maintain good student learning habits. 2) Guidance Teachers Guidance counselors are expected to design and develop tutoring programs to maintain good student study habits. 3) Students are expected to actively utilize tutoring activities carried out by BK teachers to maintain good student study habits.