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The development of digital technology has brought a significant transformation in the method of delivering Islamic preaching, one of which is through TikTok social media. Habib Husein Ja'far Al-Hadar emerged as one of the young preachers who utilized this platform effectively with a unique and contextual approach. This study aims to analyze the content of the da'wah message delivered by Habib Husein Ja'far through the TikTok account @huseinjafar. This research focuses on two main problem formulations, namely how the content of the da'wah messages delivered and how the analysis of these messages in the context of da'wah communication. Through the qualitative content analysis method, it was found that Habib Husein Ja'far packaged his da'wah messages with a light approach, relevant to current trends, and used a communicative and inclusive language style. The messages contain moral, spiritual, and social values that are delivered in a brief but impactful manner, so as to attract attention and build closeness with the audience, especially the younger generation. The findings show that a social media-based da'wah strategy with an adaptive and communicative approach can increase the effectiveness of spreading Islamic values in a digital society.

This study investigates how data visualization helps retail companies make Business Intelligence (BI)-based decisions. The study processed one year of sales data with a quantitative descriptive approach to find seasonal patterns, performance by region, and customer consumption tendencies. The analysis results show that BI software such as Microsoft Power BI can visualize data more easily and accelerate understanding of business performance. Strategic decisions such as promotional planning and product inventory management are more effective with interactive visualization, which allows decision makers to see data in a more understandable way. The study found that data visualization in BI systems can help retail businesses make better decisions. These results show the importance of incorporating BI into a company's operational processes and using interactive visualization to improve overall business performance.

This research explores how several monetary policy and commodities market influence the movement of the Indonesia Composite Index (IHSG). Monetary policy is a set of actions taken by the central bank to regulate the currency and the economy, variable proxy is Rupiah Exchange Rate (Jisdor) and Indonesia Overnight Index Average (indONIA). Commodity markets are places where commodities are traded in physical or futures, the needs of the world still depend on certain commodities so that commodity prices can be related to economic conditions, variable proxy of comodities market is Gold, Crude Oil WTI, Coal Newcastle. Indonesia Composite Index is a index that reflects the price movements of all stocks listed on the Indonesia Stock Exchange. The study analyzes monthly data from January 2019 to December 2023, a period before the global disruption of the COVID-19 pandemic, the period during the pandemic and the gradual economic rebound that followed. Using multiple linear regression analysis, the study assesses the direction and statistical relevance of each variable’s effect on the Indonesia Composite Index. The results suggest that Indonesia Overnight Index Average and Crude Oil WTI prices have a significant positive impact on the index, the Rupiah Exchange Rate has a significant negative impact on the index, while Gold and Coal Newcastle have no significant impact on the index. These findings can serve as a useful reference for both investors and policymakers in understanding and anticipating movements in Indonesia’s capital market, especially in relation to monetary policy and global commodity trends.

Advances in digital technology have brought significant changes in the way local brands build their brand image and positioning in the market. Social media is one of the main platforms used in marketing communication strategies because of its ability to reach a wide and interactive audience. This research aims to analyze the marketing communication strategy implemented by Daclen, a local fashion brand from Bandung, in shaping sales positioning through the Instagram account @Daclen.id and its official website. The research method used was qualitative descriptive with data collection through in-depth interviews, observations, and documentation. The analysis was carried out using the Circular Method of SOME (Share, Optimize, Manage, Engage) approach which emphasizes the connection between content sharing, message optimization, communication channel management, and active engagement with consumers. The results show that Daclen has succeeded in developing a simple, yet consistent and targeted digital communication strategy. Instagram is used as the primary medium to strengthen the visual power of brands, through uploading high-quality product photos, promotional videos, and active interaction with audiences. Meanwhile, Daclen's official website functions as a credibility center that provides complete information about products, prices, and after-sales service. The combination of the two creates a well-rounded consumer experience and supports an exclusive perception of the brand. Each stage in the SOME model is executed optimally. The Share stage includes the distribution of creative content with a consistent upload schedule. Optimize is done by adjusting messages according to trends and audience responses. Manage focuses on account management and interaction monitoring, while Engage focuses on building emotional connections through quick responses and interactive content. The implications of this study show that the SOME-model-based digital communication approach can help local brands such as Daclen strengthen their positioning, build an exclusive image, and create long-term relationships with consumers amid increasingly fierce competition in the digital fashion industry.

Changes in land surface temperature are one of the important indicators in monitoring global environmental change. In the last decade, increasing surface temperatures have become a global concern, as they have the potential to affect ecosystems, air quality, water availability and human health. In addition, increasing land surface temperature also has a direct impact on the urban heat island phenomenon, which can worsen environmental conditions in urban areas. In this context, analyzing periodic changes in land surface temperature is important to understand the patterns and factors that influence these changes. The objectives in conducting this research, namely: Analyzing the land surface temperature, Creating a regional land surface temperature map and Analyzing changes in land surface temperature from the land surface temperature map of Pariaman City in 2015, 2019, and 2023. Based on the results of the analysis of changes in land surface temperature using Landsat 8 OLI/TIRS images in 2015, 2019, and 2023, it was found that there were significant variations in temperature changes in several areas. Landsat 8 image data is processed through several stages, starting from converting Digital Number (DN) values to spectral radians, brightness temperature, to estimating Land Surface Temperature (LST) in Celsius units. The analysis shows that there was a significant increase in land surface temperature during the period, especially in urban and coastal areas. In 2015, the majority of areas had temperatures of 20°C-24°C, while in 2019 it shifted to 24°C-28°C, and in 2023 it was dominated by temperatures of 28°C-32°C and above 32°C. These changes reflect a significant local warming trend, influenced by human activities and land use change. This research is expected to contribute to the understanding of environmental dynamics and support spatial planning that is more adaptive to climate change.

Web-Based Augmented Reality (AR) is an emerging interactive technology that is increasingly adopted in the fields of visual communication design and digital education. This study aims to analyze trends in the use of Web-Based AR within interactive design contexts and to identify user preferences regarding its features. The research employs a literature review and secondary data analysis, drawing from academic publications, industry reports, and online surveys conducted between 2019 and 2024. The findings reveal a significant increase in the adoption of Web-Based AR both globally and in Indonesia. Key factors driving adoption include interactivity without installation, cross-device compatibility, and rapid browser-based access. Trend diagrams, comparative tables of AR platforms (such as 8thWall, ZapWorks, and WebXR API), and user preference visualizations are presented to support the analysis. The study discusses technological challenges, adoption gaps, and design implications, particularly in education and marketing. Limitations include reliance on secondary data and limited geographic scope. The study’s outcomes are expected to serve as a reference for interactive content developers, educators, and researchers in designing inclusive and adaptive AR-based user experiences.

This study aims to systematically map the development of literature on Good Corporate Governance (GCG) using a mixed-method approach that integrates bibliometric analysis with VOSviewer and a systematic literature review. The research focuses on publications from the last five years (2020–2024), with data collected using the Publish or Perish software and the keyword “Corporate Governance.” The initial search identified 772 relevant scientific articles that met the inclusion criteria. Through network visualization analysis using VOSviewer, the study reveals that GCG research can be categorized into four thematic clusters, each representing distinct areas of focus. These clusters highlight key topics such as corporate performance, board structure, stakeholder relations, and sustainability practices, reflecting the diverse and evolving nature of GCG research. The findings provide valuable insights into the intellectual structure and research trends within the field, offering a foundation for future scholarly exploration and practical application.

Fullball is one of the new sports that has gained a lot of attention from the public. Fullball combines several well-known ball sports such as basketball, futsal and handball. The development of Fullball sports is currently influenced by the marketing of Fullball sports to the public, so the right strategy is needed to introduce Fullball sports. This research was conducted with the objective of conducting a SWOT analysis to see the Strengths, Weaknesses, Opportunities and Threats through the Major League competition as an activity to introduce the new sport of Fullball to the wider community, efficiently, and sustainably. The components analysed include quantitative data through interviews and the author's involvement in Fullball sports. The results showed that the main strengths of Fullball are its uniqueness as a new sport and the strong support from brand sponsors and the government in the implementation of the competition. However, weaknesses include the lack of a solid sports ecosystem, limited facilities and accessibility, and limited resources. In addition, opportunities that can be utilized include the trend of exploring new sports among young people, active use of social media, and the potential for strategic cooperation with various parties. Meanwhile, threats that need to be anticipated are financial instability and low levels of participation from players and audiences. The conclusion of this study emphasizes the importance of strategies that maximize strengths and opportunities, as well as address weaknesses and anticipate threats to support Fullball's marketing success at the national level.

This study uses a qualitative method to examine the influence of sustainable manufacturing systems on the competitiveness of industrial companies in Indonesia. In an increasingly competitive global market, implementing sustainability principles in manufacturing systems has become a vital strategy to enhance operational efficiency, reduce environmental impact, and strengthen a company’s image in the eyes of consumers and stakeholders. This research focuses on how industrial companies in Indonesia integrate economic, social, and environmental aspects into their production processes and how such integration contributes to long-term competitiveness. Data were collected through in-depth interviews with production managers, analysis of internal company documents, and direct observation of sustainable manufacturing practices. The findings reveal that companies consistently applying sustainable manufacturing systems are able to improve product quality, expand market share, and enhance customer loyalty. Additionally, they are more adaptive to environmental regulations and market trends demanding corporate social responsibility. Thus, sustainability becomes a strategic factor in enhancing industrial competitiveness in Indonesia.

This study aims to examine the trends and applications of technology in educational research, which are rapidly evolving along with digital advances and the need for adaptive learning. Phenomena such as big data, artificial intelligence (AI), and online learning have changed the way research is conducted, both in terms of data collection and analysis. Through a qualitative descriptive approach, this study analyzes various applications that support the effectiveness of educational research and the challenges faced in their use. The results show that trends such as the use of AI, big data, and mixed methods contribute significantly to the validity and efficiency of educational research. However, challenges such as low technological literacy, data security risks, and infrastructure limitations remain major obstacles. These findings are expected to be the basis for formulating data-based educational policies and developing more innovative research methods.

This study analyzes the implementation of Integrated Reporting (IR) in Indonesia based on the International Integrated Reporting Council (IIRC) framework, aiming to evaluate the trends in IR adoption over the past three years and assess the extent to which companies in Indonesia have aligned their reporting practices with IIRC standards. Using content analysis and one-way repeated measures ANOVA, this research examines integrated annual reports of companies listed on the Indonesia Stock Exchange (IDX) for the 2020-2022 period, measuring the quality of IR implementation through a checklist derived from the International Integrated Reporting Framework (IIRF). The findings reveal that IR practices in Indonesia have significantly improved over time, with key dimensions experiencing notable enhancements, including stakeholder relationship, consistency and comparability, operating context, risk, governance, and performance, critical indicators for ensuring transparency and effectiveness in integrated reporting. Furthermore, this study contributes to the development of a matrix or quality checklist for IR, based on a normative interpretation of the IIRF, providing valuable insights into IR implementation in emerging markets, particularly Indonesia, which serves as an interesting case study since previous research has primarily focused on IR adoption in developed regions such as Europe and South Africa. Practically, this study emphasizes the importance for companies to enhance their IR reporting quality by focusing on aspects such as strategic focus and future orientation, connectivity, consistency, reliability, and comparability, thereby ensuring more transparent, accountable, and globally aligned financial and non-financial reporting practices.

Regional income is one of the important indicators in assessing the financial performance of local governments, especially in supporting development and public services. Malang City as one of the regions with growing economic dynamics, requires optimal revenue management through the Regional Financial and Asset Management Agency. The purpose of this study is to analyze the structure and trend of local income and evaluate the allocation of regional spending. The method used is quantitative descriptive with data collection through observation of budget realization reports and analysis of revenue trends. The findings of the study indicate a significant increase in local revenue, especially from the hotel, restaurant, and entertainment tax sector, although there are still challenges in managing assets and transfer funds. The implications of the results of this study are expected to contribute to the development of more effective fiscal policies, as well as increasing transparency and accountability in regional financial management in Malang City. This study also provides strategic recommendations for optimizing regional income in the future.

This research aims to analyze the impact of increased shipping costs on the price elasticity of demand for products on the Shopee marketplace platform. The method used in this study is qualitative, focusing on secondary data sourced from various literatures, research findings, scientific publications, and relevant public data. Through a comparative analysis approach and interpretation of the available data, this study intends to identify patterns, trends, and inconsistencies related to the impact of increased shipping costs on the price elasticity of demand for products on marketplace platforms like Shopee. The results of this study are expected to help sellers and Shopee address the impact of increased shipping costs on market demand. Additionally, academically, this research expands the understanding of product demand reactions to changes in shipping costs on marketplace platforms.

The purpose of this study is to determine the trends and developments in corporate tax avoidance studies using a mixed method approach. This method includes a quantitative approach in bibliographic analysis and literature review. Data were collected through searching national and international journals indexed in Emerald, Springer, and Scopus by referring to relevant publications. Data analysis includes: (1) mapping trends and developments in corporate tax avoidance research with Vosviewer software based on bibliographic studies; and (2) identifying trends and issues in corporate tax avoidance through literature review. The results of the Vosviewer analysis found five large groups with 40 main topics after selection. All topics are explained comprehensively through a literature review. This study provides a comprehensive picture of themes that are often studied in previous literature, thus becoming a reference for further research.

The objective of this study is to evaluate the financial performance of PT PP (Persero) Tbk over the period from 2020 to 2023. The assessment was conducted by analyzing several key financial ratios, including profitability, liquidity, solvency, and activity ratios. This study employed a descriptive quantitative approach using secondary data obtained from the company’s annual financial statements. The analysis revealed a decline in the company’s profitability, as indicated by a downward trend in the Return on Assets (ROA) and Return on Equity (ROE) ratios. The company's liquidity remained relatively stable but was still below the ideal standard, particularly in the quick ratio, indicating a need for improvement in the management of liquid assets. The solvency analysis revealed a high dependency on debt, which could increase financial risk if not properly managed. Meanwhile, the activity ratios showed a decrease in operational efficiency in utilizing assets to generate revenue. These findings support the hypothesis that PT PP (Persero) Tbk is facing challenges in maintaining financial health, particularly in balancing growth with sustainable performance. This study has limitations, including a data scope restricted to financial ratios and the absence of consideration for external factors such as macroeconomic conditions and industry comparisons. Future research is recommended to adopt a more comprehensive and integrative approach by combining quantitative and qualitative methods, in order to gain deeper insights into financial decision-making processes and the company’s strategic direction.  

Bag charm is a fashion accessory that is on the rise because of its ability to beautify the appearance of the bag and provide a unique personal touch. In recent years, these accessories have become a significant trend in the fashion world, especially thanks to the influence of social media such as TikTok and Instagram. One of the interesting innovations of bag charm is the use of bristle wire (pipe cleaner) as the main material, which allows the creation of various interesting shapes such as flowers, animals, and funny characters. The business proposal "Bag Charm from Feather Wire" offers creative products with high aesthetic value and personalized appeal according to customer taste. In addition to being easy to make, this product has low production costs and promising profit potential. The theoretical study in this proposal includes the concept of entrepreneurship, product innovation, and market analysis as an important foundation in business development. Marketing strategies through social media and craft exhibitions are also key in expanding market reach. This venture not only provides profitable business opportunities, but also encourages creativity in the handicraft industry and becomes a means of self-expression for consumers. With the wide market potential and uniqueness of the product, the bag charm of bristle wire can become a new trend in the world of handmade accessories.

Climate change has had a significant impact on various aspects of life, including air temperature in urban areas such as Medan City. This study aims to analyze changes in air temperature in Medan City during and after the COVID-19 pandemic, especially related to social restriction policies such as PPKM. Temperature data was obtained from UPT BMKG Medan for the period 2020 to 2025 and analyzed using I-MR (Individual-Moving Range), Cusum, and EWMA (Exponentially Weighted Moving Average) methods. The results of the analysis are expected to be able to show significant temperature differences as a result of the decline in human activities during the pandemic as well as the trend of post-pandemic temperature changes. This study is important as a basis for future environmental planning and climate change mitigation policies.

This study investigates the influence of Fear of Missing Out (FoMO), a psychological phenomenon amplified by social media platforms such as Instagram and TikTok, on the behavior of each individual. Focusing on the case of Agroeduwisata MarkazKomobid in Serang Regency, this study uses qualitative methods to explore how digital exposure shapes travel motivation. Referring to insights on digital culture, the psychological effects of FoMO, and social media-driven tourism strategies, this analysis reveals that online trends often serve as social benchmarks, pressuring individuals to engage in experiences that are considered popular or viral. These findings emphasize the strategic importance of social media in creating an attractive destination image and driving visitor interest, especially for active social media users.

The controversy surrounding the use of electronic cigarettes (e-cigarettes) or vapes has become a new trend and is increasingly being used among teenagers. The cases of e-cigarette use are increasing year by year, while there are no clear regulations in Indonesia governing the use of e-cigarettes among teenagers. The aim of this outreach is to increase knowledge about the dangers of electronic cigarettes, thereby reducing their usage among teenagers. The educational method used was health education with a question-and-answer discussion. The respondents who participated in the educational activity were 62 people. Based on the results of the analysis test, there is a significant relationship between the knowledge of adolescents before and after the education.

As one of the banking service providers in Indonesia, PT ABC employs more than 30,000 employees nationwide. As one of the largest banking institutions in the country, PT ABC encounters various challenges, particularly in the area of human resources. The increasing trend of employees leaving the company has led to a higher turnover intention rate at PT ABC compared to its competitors. This elevated intention to resign has become a critical concern for the company, as it directly impacts workplace stability and overall productivity. As a result, retaining employees has become a continuous challenge for the organization. This study aims to examine the influence of career advancement and compensation on employee turnover intention at PT ABC Area XYZ. In this research, career advancement and compensation are considered two key factors that affect employee loyalty. The research adopts a quantitative method with a descriptive approach. The sample consisted of 150 permanent employees of PT ABC Area XYZ, and data were collected using a questionnaire distributed via Google Forms. The data analysis techniques applied in this study include descriptive statistical analysis and the Structural Equation Modeling Partial Least Squares (SEM-PLS) method, using SmartPLS Version 4 software. The findings reveal that career advancement has a negative but statistically insignificant effect on turnover intention, whereas compensation has a significantly negative effect on turnover intention. This research is expected to provide valuable input, particularly for the Human Capital Management department, in developing strategies to retain employees and reduce turnover intention within the company.