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Digital entrepreneurship has become a transformative phenomenon in the modern economy, changing the way businesses are developed and run through digital technology. Although the literature on digital entrepreneurship is growing rapidly, comprehensive mapping of the evolution of knowledge and research patterns is still limited. This study analysis the development of digital entrepreneurship in academic literature through bibliometric analysis of the Scopus database to identify research trends, knowledge structures, and future directions. The analysis was conducted on 1,815 publications from 681 sources (1988-2025) written by 8,023 researchers, using R Studio (bibliometrix) and VOSviewer. The results show exponential growth with an annual growth rate of 17.22%, as well as five main theme clusters: digital business models, digital innovation, social entrepreneurship, e-commerce, and fintech. Thematic evolution shifted from traditional entrepreneurship (1988–2010) to digital transformation (2011-2018) to new technology integration (2019-2025). The level of international collaboration reached 26.39%, with the United States, China, and the United Kingdom as the main contributors. These findings provide a research roadmap for identifying research gaps, collaboration opportunities, and trending topics in digital entrepreneurship.

The rapid development of digital streaming platforms such as Netflix has generated a large volume of content data with diverse characteristics, thereby requiring effective analytical methods to understand emerging patterns and trends. This study aims to classify Netflix content into two main categories, namely movies and television shows, and to analyze genre trends and content characteristics using a data mining approach with the Naive Bayes algorithm. The dataset used in this study is the Netflix Shows dataset, consisting of 8,809 content entries, with the primary features analyzed including genre, rating, and country of production. The research process begins with data exploration and preprocessing stages, including data cleaning, handling missing values, and transforming categorical features to enable effective model construction. Subsequently, the dataset is divided into training and testing sets to objectively and systematically build and evaluate the Naive Bayes classification model. Model performance is evaluated using accuracy, precision, recall, and F1-score metrics to assess the model’s ability to accurately distinguish between Netflix content types. The experimental results demonstrate that the Naive Bayes algorithm is able to classify Netflix content into Movie and TV Show categories with accuracy, precision, recall, and F1-score values of 100%, respectively. The confusion matrix indicates that no misclassification occurred, suggesting that genre, rating, and country of production features provide a very clear separation between content classes. These findings indicate that the Naive Bayes algorithm can achieve exceptionally high classification performance with optimal evaluation results. The results further reveal distinct differences in characteristics between movies and television shows based on genre and production attributes. Therefore, this study is expected to contribute to the development of content recommendation systems and strategic content management within the streaming industry.

The rise of financial technology (fintech) has significantly reshaped global investment over the last decade. Fintech innovations are increasingly applied in areas such as digital investment platforms, robo-advisors, blockchain-based assets, and cryptocurrency trading. The adoption of fintech in investment continues to grow due to the rising demand for accessibility, transparency, and efficiency in financial markets. Fintech has the potential to democratize investment by lowering entry barriers, expanding financial inclusion, and offering diverse investment instruments for retail investors. Therefore, research on fintech and investment has become an essential topic in recent years. This study uses a qualitative approach with data obtained from the Scopus database, which includes a total of 4,794 articles on fintech and investment published in the last decade (2020–2025). In addition, several software tools such as R Studio, VOSViewer, and Publish or Perish were used for data processing and bibliometric visualization. This study aims to analyze the development of research trends in fintech-driven investment, explore how technology is changing investor behavior, and provide insights for policymakers and practitioners in strengthening a sustainable and inclusive investment ecosystem.

The integration of big data in the financial sector has increasingly attracted scholarly attention, particularly in areas such as risk management, fraud detection, algorithmic trading, and investment optimization. Given the rapid development of this field, it is essential to map research trends and identify emerging directions that shape the future of financial innovation. This study applies a bibliometric approach using 3,829 articles retrieved from the Scopus database from 1981 to 2025, with data processed through R Studio and the Bibliometrix-Biblioshiny application. The objective is to explore the intellectual landscape of big data finance and reveal research frontiers as well as thematic evolution. The results show a sharp increase in publications after 2015, alongside the growth of fintech and artificial intelligence applications, with dominant themes including blockchain integration, risk analytics, and predictive modelling. Cross-disciplinary and cross-regional collaborations continue to expand. These findings provide a comprehensive overview of how big data has shaped financial studies and offer insights for potential future research directions.

This study explores how the organizational culture of Sanggar Kartika Budaya strengthens local artistic values through identity building, leadership, training strategies, and adaptive creativity. Rooted in a commitment to traditional arts, the sanggar positions local cultural expression not only as heritage but also as a living space for innovation. The research aims to uncover how these cultural elements shape member behavior, sustain artistic traditions, and support the regeneration of young artists. Using a qualitative approach with document analysis, this study examines official profiles, program descriptions, and relevant scholarly sources. The findings reveal that the sanggar’s cultural identity centered on the motto “Pegang Teguh Seni Tradisi Siap Berkreasi”serves as the backbone of its learning system and creative ecosystem. Leadership plays a central role in directing artistic vision while safeguarding cultural authenticity. Structured training, literacy activities, and collaborative performances effectively embed traditional values in new members. The sanggar also demonstrates an ability to evolve with modern trends through creative choreography, multimedia integration, and active participation in contemporary festivals, all while maintaining strong roots in local heritage. These findings highlight how a well-structured organizational culture can act as a powerful engine for cultural preservation and artistic resilience. The implications suggest that cultural institutions can remain relevant in a fast-changing era by blending heritage with innovation, ensuring that tradition continues to live meaningfully in the hands of future generations.

Local governments in Indonesia rely significantly on local tax revenues to strengthen fiscal independence and sustain regional development. Among these revenue sources, the Motor Vehicle Tax (PKB) and the Motor Vehicle Transfer Fee (BBNKB) play a vital role in shaping regional fiscal capacity. This study explores how both taxes contribute to the Regional Own-Source Revenue (PAD) of Central Java Province during the 2020–2024 period. Drawing on quantitative analysis and secondary data from the Central Java Regional Revenue Agency (Bapenda), the research assesses the effectiveness and contribution of PKB and BBNKB in supporting local fiscal performance. The results show that PKB consistently exerts a positive, meaningful influence on PAD, underscoring its central role in sustaining the province’s fiscal strength. In contrast, BBNKB demonstrates a weaker, less stable impact, primarily driven by changes in vehicle ownership trends and administrative challenges. When considered together, both tax instruments contribute to enhancing local fiscal capacity, although the reliance on PKB remains predominant. These findings underscore the importance of modernizing regional tax administration, particularly through digital innovation, transparent reporting systems, and community-based compliance strategies. Strengthening these mechanisms is essential to building a more resilient and autonomous fiscal framework, especially in the context of post-pandemic economic recovery and long-term regional development planning

The development of social media platforms like TikTok has created new spaces for digital economic activities, including the practive of thrifting, which has now become a trend among the public. However, government policies that block these activities have sparked various public reactions. This study aims to analyze public sentiment regarding the issue of thrifting bans on the TikTok platform using the Bidirectional Long Short-Term Memory (Bi-LSTM) method. This method was chosen because it can understand text context from both directions, allowing it to capture deeper semantic meaning. The dataset consist of 4,000 TikTok user comments collected through a crawling process. The research stages include data preprocessing, sentiment labeling, splitting training and test data, training the Bi-LSTM model, and evaluating performance using accuracy, precision, recall, and F1-score metrics. The research results show that the Bi-LSTM model achieved an accuracy of 86.15%, with stable classification performance and minimal error rate. These findings indicate that Bi-LSTM is effective for sentiment analysis of public opinions on Indonesian language social media, particularly on context specific policy issues. Further development can be carried out by adding pre-trained embeddings or attention mechanisms to improve the model’s performance.

This systematic literature review examines research trends in problem-based learning (PBL) within blended learning contexts by analyzing 64 peer-reviewed articles from Scopus database published between2020-2024. Using PRISMA methodology, this study identifies key patterns including the dominance of medical education contexts (71.9%), the significant impact of COVID-19 pandemic on pedagogical innovations, and the prevalence of experimental research designs (34.4%). Findings reveal that blended learning emerged as the most researched approach (61%), followed by online/distance learning (23%) and flipped classroom models (11%). The analysis indicates increasing publication trends in 2022 and 2024, with Education Sciences and BMC Medical Education as leading publication venues. This review highlights research gaps in engineering and technology education contexts, limited exploration of long-term learning outcomes, and insufficient mixed-methods studies. These findings provide valuable insights for educators, researchers, and policymakers in designing effective learning strategies that integrate problem-based and blended learning approaches in diverse educational settings.

The quality of education is a crucial issue that continues to receive attention in facing the challenges of globalization, digitalization, and the demands of 21st century competencies. Quality improvement efforts are not only related to the quality of students' learning outcomes, but also concern the role of leadership, management effectiveness, and the implementation of a quality assurance system. This study aims to identify strategies to improve the quality of education that have been studied in the literature for the last five years (2020-2025) and answer two research questions, namely: (1) what quality strategies are predominantly discussed in the literature, and (2) how the role of leadership, strategy management, and quality assurance in supporting the quality of education. The method used is literature review with a qualitative approach. Data was obtained from Google Scholar and Publish or Perish (PoP) databases using the keyword "quality strategy" with a publication year limit of 2020–2025. The search yielded 30 articles, which then through a screening and selection process obtained 5 relevant articles for analysis. The results of the analysis show three main trends: (1) the strategic role of school principals in building a quality culture, (2) the importance of evaluation and implementation of quality management in a sustainable manner, and (3) the synergy of visionary leadership with the quality assurance system  as the basis for sustainable quality. This study concludes that the education quality strategy requires the integration of these three aspects. Going forward, further research is needed to develop integrative models across approaches and broader educational contexts.

The personal care product industry, particularly bath soap, is becoming increasingly competitive as public awareness of health and hygiene grows. Lifebuoy is a long-trusted bath soap brand, but according to data from the Top Brand Index 2021–2024, Lifebuoy is experiencing a significant downward trend. This situation indicates a problem in consumer purchasing decisions, making it crucial to examine the factors influencing it. This study aims to analyze the influence of advertising and brand image on purchasing decisions for Lifebuoy bath soap in Semarang City, with purchase intention as an intervening variable. This study used a quantitative approach with explanatory research. The population in this study was all Lifebuoy bath soap users in Semarang City. The sample was determined using a non-probability sampling method using the Lemeshow formula, resulting in 96 respondents. Data analysis techniques used Descriptive Statistical Analysis, Measurement Model Evaluation (Outer Model), and Structural Model Evaluation (Inner Model) using the SmartPLS 0.4 application. The results of the study indicate that advertising has a direct influence on purchasing decisions, brand image has a positive and significant influence on purchasing decisions, advertising does not have a significant direct influence on purchase intention, brand image has a positive and significant influence on purchase intention, purchase intention has a positive and significant influence on purchase decisions, purchase intention mediates the relationship between advertising and purchase decisions, and purchase intention mediates the relationship between brand image and purchase decisions.

This study aims to analyze interactive content strategies, value perceptions, and consumer engagement at PT. Indo Bismar Surabaya. The background of this study is based on the increasingly dominant trend of short video-based marketing on social media, yet Indo Bismar's consumer engagement levels remain limited. The research method uses a qualitative approach with a case study design. Data was collected through semi-structured interviews with digital marketing staff, interns, and consumers, and reinforced by observing content on the company's official Instagram account. The analysis was conducted using the Miles and Huberman model, which includes data reduction, data presentation, and conclusion drawing. The results show that Indo Bismar's content strategy is dominated by entertainment content oriented towards visibility, while product information only receives a small portion. The creativity of the internship team strengthens content implementation, but limited human resources and budget hinder consistency. Consumers rate content value higher when information, entertainment, and interactivity are present simultaneously, which ultimately increases engagement. This study confirms that the success of digital marketing depends not only on content creativity, but also on the organization's ability to strategically manage internal resources.

This study aims to estimate changes in the Indonesian Sharia Stock Index (ISSI) from 2020 to 2025 using the Autoregressive Integrated Moving Average (ARIMA) model. The growth of the Islamic stock market in Indonesia has increased rapidly, driven by public awareness of investments that follow sharia principles, as well as changes in macro and microeconomic conditions, especially during the COVID-19 pandemic which has had a significant impact on the financial market. This study relies on monthly ISSI data taken from official sources and analyzed with a quantitative approach using the time series method using EViews version 13 software. Statistical analysis and stationarity tests indicate that the ISSI data exhibits an increasing trend pattern and quite high volatility, so that a differentiation process is necessary to achieve stationarity. Based on the results of model testing and the selection of optimal information criteria, the ARIMA (1,1,1) model was selected as the most appropriate to capture the autocorrelation pattern and produce accurate short-term predictions. Projections indicate a stable growth trend until the end of 2025, with an estimated index of more than 8.3 million. The findings of this study indicate that the ARIMA model is an effective tool for forecasting ISSI movements and can be a strategic consideration for investors, financial institutions, and policymakers in developing sustainable investment strategies in the Indonesian Islamic stock market.

This study aims to analyze Indibiz Bogor’s digital marketing strategy in enhancing brand awareness through the use of Instagram Reels, with a specific focus on the role of content creators in planning, producing, and optimizing short-video content. As social media increasingly becomes a primary promotional channel, businesses are required to produce creative and relevant content capable of attracting and engaging audiences effectively. This research employs a qualitative approach, with data collected through observation, interviews, and documentation conducted during October–November 2025. The findings show that content creators play a strategic role in idea development, trend analysis, audience needs identification, and producing visual materials that align with Indibiz’s brand identity. Instagram Reels are proven effective in increasing audience engagement, expanding reach, and strengthening brand perception across digital platforms. However, several challenges persist in the production process, including suboptimal internal coordination, sudden concept revisions, and limited production time. These findings highlight the importance of more structured content planning, improved team communication, and consistent performance evaluation to optimize Indibiz’s digital marketing efforts and maximize their impact on brand awareness.

This study aims to forecast beef prices in Palembang City and at the national level in Indonesia using the Autoregressive Integrated Moving Average (ARIMA) method. The data used are the monthly average beef prices for the period January 2019 to December 2024. The analysis involves stationarity tests using Augmented Dickey-Fuller (ADF), model identification through Autocorrelation Function (ACF) and Partial Autocorrelation Function (PACF) plots, parameter estimation with Maximum Likelihood Estimation (MLE), and residual diagnostics with the Ljung-Box and Jarque-Bera tests. The results show that beef prices at both regional levels are not stationary at the level but become stationary after the first differencing (I(1)). The best ARIMA models obtained are ARIMA(0,1,1) for Palembang City and ARIMA(1,1,0) for the national level. Both models successfully predict price fluctuations with a low error rate and show a moderate price increase trend. These findings provide practical implications for price stabilization policy making and beef-related business planning. The forecast results state that beef prices in Palembang City and nationally are predicted to tend to rise in 2025 from January to December.  

This study aims to assess the growth rate of harvested area and rice production in Bengkulu Province during the 2019–2024 period and to examine spatial variation across districts as a basis for regional agricultural policy planning. The data used are secondary, consisting of a series of spatial and temporal data on harvested area and rice production; the analysis method includes calculating the compound annual growth rate (CAGR) for each indicator and examining temporal and spatial patterns across districts. The analysis results indicate a negative growth rate in the rice sector, with a relatively larger contraction in harvested area compared to production, accompanied by fluctuations and differences between years, indicating heterogeneity in agricultural performance at the district level. These findings have clear policy implications: the need for agricultural land protection measures, improvement and maintenance of irrigation infrastructure, increased farmer access to technology and markets, and the implementation of indicator-based growth rate monitoring to determine intervention priorities. To strengthen the policy base, recommended further research includes field verification and combined (quantitative-qualitative) studies to identify local factors driving the observed trends and fluctuations.

This study aims to analyze the reaction of the Indonesian capital market to the establishment of the Danantara Investment Management Agency (BPI) as a new financial institution formed by the government in 2025. Using a quantitative approach through the event study method, this study measures the abnormal return of the Composite Stock Price Index (JCI) around the date of the announcement of Danantara's establishment, namely in the observation period from January 31 to April 17, 2025. The analysis results show that the market reacted significantly negatively on the day of the announcement (t₀) with an abnormal return of -0.78 percent and a p-value of 0.05, while on other days around the event, no significant reaction was found. This indicates that the market responds quickly to public information, but the impact is temporary. In the long term, the cumulative abnormal return (CAR) shows a significant negative trend, reflecting market pressure and investor caution regarding Danantara's existence. These findings are in line with the semi-strong form of market efficiency theory and show that investor confidence is highly dependent on the transparency and governance of state financial institutions. Overall, the results of this study confirm that the establishment of Danantara has not had a sustainable positive impact on the Indonesian capital market.

This study aims to analyze business development strategies through a SWOT analysis approach for Patricia Aksesoris, focusing on understanding the internal and external conditions that influence business development. The analysis results show that Patricia Aksesoris has strengths in good product quality and a variety of attractive designs. However, this business also faces weaknesses, such as limitations in promotion and capital that can limit expansion. Opportunities that can be exploited include the growing trend in accessories and the great potential for marketing through digital platforms. On the other hand, the main threats faced are intense price competition and rapid changes in consumer tastes. Based on these findings, the recommended strategies to increase business competitiveness are strengthening marketing through social media, improving customer relationships, and improving operational management to achieve greater efficiency. With these strategies, Patricia Aksesoris can strengthen its position in the market and achieve sustainable growth.

This study aims to analyze the influence of entrepreneurship and product innovation on the marketing performance of local coffee shops in Banda Aceh City. The background of this research is based on the increasing trend of the local coffee industry which has not been accompanied by optimal marketing and innovation strategies. The research method used a descriptive-associative quantitative approach with the population of coffee shop owners and managers and a sample of 25 respondents. Data analysis was carried out by multiple linear regression using SPSS 26.0. The results of the study show that simultaneously entrepreneurship and product innovation have a significant effect on marketing performance, with an F value of 60,024 and a significance of 0,000. However, partially, only the innovation variable had a positive and significant effect on marketing performance (sig. 0.001 < 0.05), while entrepreneurship had no significant effect (sig. 0.288 > 0.05). A determination coefficient value (R²) of 0.845 indicates that 84.5% of the variation in marketing performance is explained by both variables. This study emphasizes the importance of product innovation as a dominant factor in improving the marketing performance of local coffee shops and provides implications for business owners to strengthen creativity and adaptation to consumer trends.

This article examines the evolution of the concept of femininity in East Asian makeup culture by tracing changes in style, function, and social meaning from traditional periods to the modern era. The study focuses on makeup practices in China, Japan, and Korea, which possess distinct cultural and historical backgrounds yet similarly demonstrate dynamic developments of femininity through visual expression. The research employs a literature review using a qualitative approach, complemented by an analysis of beauty trends emerging in each country. The findings indicate that facial makeup functions not merely as an aesthetic practice but also as a medium for representing personal identity, social status, gender roles, and prevailing cultural values within society. The transformation of makeup practices is influenced by various factors, including local traditional heritage, processes of modernization, changes in women’s roles, and globalization, which introduces new beauty standards. Nevertheless, traditional elements continue to be preserved and adapted, forming distinctive regional characteristics. Overall, this study emphasizes that the concept of femininity in East Asian makeup culture is dynamic and contextual, continually adapting to social change while remaining deeply rooted in longstanding cultural values.

The phenomenon of increasing female activity in cafes shows a shift in lifestyle that is not merely consumptive, but also reflective and social. Cafes have now become leisure spaces where women express themselves, build relationships, and find emotional balance. This study aims to examine the trend of women utilizing cafes as a practice of social welfare in the era of sustainability. The approach used is descriptive qualitative based on secondary sources, with data in the form of news articles, lifestyle writings, and online media coverage of women's leisure behavior in Cirebon. This analysis was conducted to explore the social and spiritual values that emerge in these activities. The results of the study show that cafes serve as safe spaces for women to interact, share ideas, and restore mental energy. These activities reflect maqashid values such as Hifz al-nafs (preserving the soul) and Hifz al-'aql (preserving the mind), while contributing to the spirit of sustainability through the strengthening of gender equality and social welfare. The novelty of this research lies in its attempt to interpret women's leisure trends through the paradigm of social welfare, rather than simply as a modern lifestyle. These findings have important implications for the creation of a more inclusive, safe, and sustainable public space, while also opening up a new perspective that leisure activities can be part of achieving maqashid al-syari'ah in contemporary social life.