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Canker sores are an inflammation of the oral tissues, generally caused by bacterial and fungal infections. They can cause pain and discomfort and reduce the sufferer's quality of life. Treatment for canker sores has been dominated by synthetic drugs, but they are less popular among the public, especially children, due to discomfort and concerns about side effects. Therefore, we need safer and more easily accepted alternative treatments based on culturally derived materials. This study is to investigate the potential of pineapple and melon stems formulated in the form of gummy candy nanosimplicia as a complementary therapy in the treatment of canker sores. The research method was carried out through a literature review by collecting scientific articles from the PubMed, ScienceDirect, and Google Scholar databases, then analyzed using VOSviewer software to map emerging research trends and potential. The analysis results indicate that there are approximately 600 articles discussing the active metabolite content in pineapple and melon stems that have antibacterial and antifungal activity, as well as the development of innovative preparations such as gummy candy as a delivery medium for bioactive compounds. The implications of this study indicate that the combination of pineapple stem and melon nanosimplisia has the potential to be developed as a safe, attractive, and effective natural herbal candy product for the prevention and treatment of mouth ulcers, especially in children.

International student enrollment is a critical driver of financial sustainability for Higher Education Institutions (HEIs). While advanced forecasting is standard in the corporate sector, its application in educational planning remains limited. This study addresses this gap by comparing the predictive performance of ARIMA, Facebook Prophet, and Long Short-Term Memory (LSTM) models. Using a publicly available annual dataset from a US-based institution (2000–2022), the analysis employed a strategic partition training on 2000–2017 and testing on 2018–2019 to validate models on stable, pre-pandemic data. Empirical results revealed that the statistical ARIMA (2,1,0) model demonstrated superior accuracy, achieving a Mean Absolute Percentage Error (MAPE) of 1.26%. Conversely, Prophet (11.81%) and LSTM (13.84%) struggled with the limited sample size, failing to generalize effectively compared to the linear approach. The findings suggest that for annual enrollment trends, parsimonious statistical models outperform complex deep learning architectures, providing administrators with a robust, accessible framework for data-driven strategic decision-making.

Micro, Small, and Medium Enterprises (MSMEs) play a vital role in Indonesia's economy with a contribution of more than 60 percent to the Gross Domestic Product and the absorption of 97 percent of the national workforce, but their participation in international trade is still low with only 14 percent involved in export activities. This research aims to analyze the challenges and opportunities faced by MSMEs in accessing the global market and identify adaptation strategies developed by entrepreneurs. A qualitative method with a phenomenological approach was applied through in-depth interviews with 18 export-oriented MSME owners and managers in East Java who were selected by purposive sampling. Thematic analysis using ATLAS.ti revealed seven main challenges including limited access to capital, complexity of export regulations, constraints on production capacity and quality consistency, language and cross-cultural communication barriers, lack of international market information, logistics infrastructure problems, and intensive competition. On the other hand, four strategic opportunities were identified, namely increasing demand for sustainable authentic products, accelerating digitalization and e-commerce, utilizing free trade agreements, and ethical consumerism trends. MSMEs develop effective adaptation strategies in the form of strategic collaboration, product differentiation with  premium positioning, the use of digital technology, and a focus on  specific market niches. The research emphasizes that the successful internationalization of MSMEs requires a holistic approach integrating internal capacity building with the support of a conducive external ecosystem.

This research is motivated by a significant decline in sales of herbal products/jamu (herbal medicine) from PT Martina Berto Indonesia during the 2021–2024 period, as reflected in the 2024 annual report. This downward trend indicates issues related to customer satisfaction and loyalty, changes in consumer perceptions of the product, and increased competition from other herbal brands. The continued decline in sales in 2024, reaching IDR 95 million, indicates a serious challenge to the product's sustainability in the market. This study aims to examine the influence of perceived value on customer loyalty of Sariayu Herbal Scrub through customer satisfaction in Bandung City. This study employs quantitative methods, incorporating verification approaches. The data used in this study consist of primary and secondary data. The sample consisted of 115 respondents. Data analysis was performed using Structural Equation Modeling–Partial Least Squares (SEM-PLS) with the assistance of SmartPLS 4 software, and the sampling method applied was the sample size technique. The results of this study indicate that perceived value has a positive and significant influence on customer satisfaction, customer satisfaction has a positive and significant influence on customer loyalty, and perceived value has a positive and significant influence on customer loyalty. However, perceived value influences customer loyalty indirectly through customer satisfaction. These findings offer practical insights for companies to improve perceived value and customer satisfaction, key strategies to enhance customer loyalty, and maintain business sustainability.

The rapid growth of e-commerce has intensified the need to understand transaction patterns and customer purchasing behavior as a foundation for strategic decision-making. This study aims to analyze e-commerce transaction patterns and customer purchasing behavior based on demographic characteristics and transaction timing. By utilizing e-commerce transaction data, this research seeks to provide a more comprehensive understanding of customers’ purchasing tendencies and the factors influencing their behavior. This study employs Exploratory Data Analysis (EDA) as the primary method to descriptively explore data characteristics through various statistical visualizations, including histograms, bar charts, line graphs, and boxplots. The analysis conducted to identify transaction trends, the distribution of purchase values, and behavioral differences across demographic groups and specific time periods. The results indicate that e-commerce transaction patterns tend to increase during certain periods, particularly in the latter part of the observation timeframe, suggesting the influence of seasonal factors and promotional strategies. The distribution of transaction values is asymmetric, with most transactions occurring in the low to medium value range, while high-value transactions are conducted by a relatively small proportion of customers. Furthermore, variations in purchasing behavior are observed across demographic groups in terms of transaction frequency and value, despite relatively balanced transaction volumes. The findings confirm that e-commerce customer purchasing behavior is influenced by a combination of temporal factors and demographic characteristics. These results are expected to serve as a basis for e-commerce practitioners in developing more targeted marketing strategies and as a reference for future research in the field of e-commerce data analytics.

The advancement of social media platforms, especially TikTok, has drastically changed the behavioral patterns and lifestyles of Generation Z. One psychological impact of intensive social media use is Fear of Missing Out (FoMO), which is the worry of missing out on news, trends, or viral social activities. This study aims to reveal how FoMO affects the lifestyle of Generation Z active on TikTok, focusing on aspects of mental health, shopping habits, and the balance of social interactions. This research uses a literature study approach with a qualitative descriptive method, through in-depth analysis of 21 scientific articles published between 2019 and 2025. The findings show that FoMO is associated with increased anxiety, depression, personal dissatisfaction, and excessive social media use among Generation Z. Furthermore, FoMO also drives impulsive consumption patterns and purchases triggered by online trends as well as the desire for social approval. On the other hand, internal factors such as self-confidence and self-control ability have proven to reduce the level of FoMO and its negative effects. This study concludes that FoMO is a complex phenomenon that impacts the mental health and lifestyle of Generation Z, thus requiring measures such as increasing digital literacy, strengthening self-control, and using social media wisely to reduce the negative impacts of FoMO in the long term.

Personal financial management behavior has gained prominence amid economic globalization, digital transformation, and crisis-induced shifts that reshape individual decision-making, budgeting, saving, and risk practices. This study conducts a comprehensive bibliometric analysis to chart the intellectual structure, growth patterns, and future orientations of research in this domain. Drawing on 312 English-language publications from the Scopus database spanning 2000 to 2024, the analysis employs VOSviewer for co-authorship, keyword co-occurrence, and co-citation mapping, complemented by performance metrics on trends and productivity. Findings reveal a marked acceleration in scholarly output, particularly after 2020, driven by heightened attention to digital tools and resilience factors. Thematic clusters highlight progression from foundational literacy and demographic influences to psychological mediators (e.g., self-efficacy, attitudes) and outcomes centered on well-being and socialization. Geographic contributions concentrate in the United States and Indonesia, with strong Asia-Pacific networks, while productive authors form specialized collaborative hubs. The intellectual base integrates behavioral frameworks with empirical applications, underscoring interdisciplinary depth. These insights address fragmentation in prior work by providing a unified knowledge map, revealing gaps in cross-cultural integration and dynamic digital modeling. Implications extend to guiding targeted interventions for financial education and policy, fostering individual resilience in volatile environments. This synthesis supports scholars and practitioners in advancing evidence-based approaches to sustainable personal finance practices.

The phenomenon of Fear of Missing Out (FoMO) has emerged as a significant psychosocial factor influencing the consumption behavior of Generation Z in the social media era. This study aims to explore how FoMO shapes the purchasing decisions of Generation Z using a qualitative approach, focusing on subjective experiences, digital social pressures, and interactions with viral content. A descriptive-interpretative qualitative method was employed, collecting data through in-depth interviews and observations of social media activity among Generation Z respondents actively engaged in digital platforms. Thematic analysis was applied to identify patterns of FoMO experiences and their impact on purchasing decisions. Findings reveal that FoMO arises from the need for social connection, social comparison with peers and influencers, and intensive exposure to digital trends. This phenomenon drives consumptive behaviors, particularly impulsive purchases, influenced by social validation and emotional impulses. Generation Z’s purchasing decisions are contextual, multidimensional, and not entirely rational, yet meaningful within the framework of digital social identity. The study underscores the necessity of a qualitative approach to comprehensively understand the psychological, social, and cultural complexities of FoMO and consumer behavior. The results provide a conceptual foundation for ethical and relevant marketing strategies targeting young consumers in the digital era.  

The use of information technology is a crucial element in improving the effectiveness of village government administration. One implementation of e-government at the village level is the use of the Village Apparatus Information System (Sipede) as a medium for managing village apparatus data. This study aims to analyze the effectiveness of Sipede's implementation in supporting village apparatus data management in Candi District. The study used a descriptive qualitative approach with data collection techniques through in-depth interviews, observations, and system document reviews. Data analysis was conducted using the Agile Response in E-Governance framework, which includes nine effectiveness indicators: Ease of Use, Usefulness, System Quality, Technology Mindfulness, Software Reliability, Communication Transparency, Trust, Collaboration Efficiency, and Traceability. The results show that Sipede is quite effective in improving data accuracy, information integration, and coordination between government agencies. This effectiveness is evident in the ease of use of the system, the clarity of the workflow, and the level of apparatus trust in the data generated. However, the use of Sipede still faces obstacles in the form of limited system access and suboptimal usage practices. Therefore, efforts are needed to develop systems and increase user capacity to support more accountable and sustainable village apparatus administrative governance.

The application of Large Language Models (LLM) in public services encourages government agencies to adopt Retrieval Augmented Generation (RAG)-based chatbots as interfaces for regulatory knowledge and official documents. Although RAG is designed to increase the supportability of answers to authoritative sources, various studies show that this system is still vulnerable to hallucinations, which have the potential to reduce public trust and pose legal risks. This article presents a Systematic Literature Review (SLR) on the use of RAG in government chatbots with a focus on the definition, mitigation strategies, and evaluation of groundedness. The literature search was conducted in the period 2021–2025 through the SpringerLink, Scopus, and Taylor & Francis databases, resulting in 7,947 articles filtered using the PRISMA framework to obtain 100 articles Q1–Q2. Based on eight research questions, this study maps publication trends, document domains, RAG architecture, retrieval strategies, definitions of groundedness, and evaluation metrics used. The SLR results indicate conceptual fragmentation in the definition and measurement of groundedness, with the dominance of text-similarity-based metrics that are inadequate for regulatory contexts. As a conceptual contribution, this article formulates the Semantic Alignment Score (SAS) as a groundedness metric based on semantic alignment, evidence coverage, and entailment relationships, positioned to support the evaluation and auditing of government document chatbots.

Digital transformation in public services represents a strategic shift in integrating information technology into governmental administrative systems to enhance service efficiency, transparency, and accountability. One prominent innovation in this effort is the adoption of electronic land certificates initiated by the Ministry of Agrarian Affairs and Spatial Planning/National Land Agency (ATR/BPN) as part of land service modernization. This policy is formally regulated under Ministerial Regulation No. 3 of 2023 concerning electronic documents in land registration. This study employs a descriptive qualitative approach to examine the implementation process, identify enabling and constraining factors, and assess the impact of electronic land certificates on the quality of land services. Data were obtained through interviews, field observations, and document analysis at the Tulungagung Regency Land Office and analyzed using the interactive model proposed by Miles and Huberman. The findings indicate that electronic land certificates contribute significantly to improving service efficiency, administrative speed, and data security. Nonetheless, several challenges persist, including inadequate network infrastructure in rural areas, limited public digital literacy, and insufficient information technology personnel. Despite these constraints, the initiative has been positively received and reflects the local government’s commitment to advancing digital governance and good governance principles. The effectiveness of this transformation largely depends on institutional readiness, technological support, and community engagement.

Digital transformation in judicial institutions is aimed at improving transparency, efficiency, and legal certainty for the public. One of the main instruments in the digitization of the judiciary in Indonesia is the Case Tracking Information System (Sistem Informasi Penelusuran Perkara/SIPP), which functions as a means of case administration as well as a medium for public information disclosure. Although SIPP is considered to be running well from an administrative perspective, its effectiveness from the point of view of service users, particularly in providing information on court schedules, still shows limitations in its practical use. This study aims to analyze the effectiveness of SIPP in providing information and certainty regarding court schedules for service users at the Surabaya Class IA Special District Court. This study uses a qualitative approach with a descriptive research type. Data was obtained through in-depth interviews with service users and court officials, observation, and review of documents and system data. The analysis was conducted using the Socio-digital effectiveness framework, which focuses on three dimensions, namely user experience, citizen engagement, and public value, to examine the relationship between digital systems, user experience, and the social meaning of public judicial services. The analysis shows that the SIPP has been quite effective in providing access to court schedule information at the administrative level. This effectiveness is reflected in the openness of information access, which can be used by the public without special authentication. However, at the level of practical use, there are still limitations in terms of timeliness and consistency of information updates when there are delays or changes to the court schedule. This affects the user experience in planning attendance and shapes perceptions of the reliability of the digital information provided by the court.

The Mapan Satria Program represents the Kediri City Government's commitment, through the Department of Transportation, to enhance public service quality in the bus transportation sector under the name Bus Satria; however, operational obstacles such as schedule unreliability and insufficient public information persist. This study aims to describe the effectiveness of the Mapan Satria Program managed by the Kediri City Department of Transportation commencing in 2023. Program effectiveness was analyzed based on Annas's (2017) seven indicators using a qualitative method with data collection through observation, interviews, and documentation. The analysis indicates that the Mapan Satria Program (Moda Angkutan Pelayanan Aman dan Nyaman Sarana Transportasi Kediri Bahagia) has not yet operated effectively. While aspects such as timeliness, work mechanisms, inter-agency cooperation, fund disbursement, and monitoring and evaluation have been implemented in accordance with regulations, others remain suboptimal, including limited human resources, service deviations, inadequate information updates, and low public utilization. Therefore, the author recommends optimizing the program by expanding socialization to the wider community, providing clear schedule information at bus stops to facilitate passengers, strengthening the operational monitoring and evaluation system, and imposing strict sanctions for deviations.

This study uses a bibliometric analysis based on Scopus data to map the literature on capital structure development for the period 2018–2023. Using articles from Q1 and Q2 indexed journals selected using the PRISMA 2020 guidelines, this study examines publication trends, dominant keywords, and theme evolution using VOSviewer. The results show a shift in focus from classical theories (such as trade-off and pecking order) to contemporary issues such as ESG, green finance, and digitalization. In addition, the majority of studies are still dominated by developed countries, while contributions from developing countries are still limited. These findings highlight the need for a contextual approach and updating of theoretical models in capital structure research, as well as providing an initial foundation for empirical studies in the technology sector of developing countries.

This study analyzes the economic dynamics and development of the tourism sector in the Special Region of Yogyakarta (DIY) Province during the 2015–2024 period. The research employs a quantitative descriptive approach using secondary data obtained from the Central Bureau of Statistics (BPS). Data analysis is carried out through descriptive statistical methods and trend analysis to capture changes and patterns over time. The variables examined include regional economic growth, the number of tourist visits, road infrastructure development, labor absorption, and hotel occupancy rates across five districts/cities in the province. The findings indicate that the economy of DIY demonstrates relatively strong resilience in the post-COVID-19 pandemic period, supported by gradual recovery in tourism-related activities. The development and operation of Yogyakarta International Airport have significantly contributed to economic growth in Kulon Progo Regency, particularly by improving accessibility and investment opportunities. The tourism sector continues to serve as the main economic driver in the region, with tourist visits largely concentrated in Sleman Regency and Yogyakarta City, while Gunungkidul Regency shows considerable potential for nature-based tourism development. Overall, the study concludes that equitable infrastructure development and the strengthening of the service sector are crucial to ensuring sustainable and inclusive economic growth in the Special Region of Yogyakarta.

Male infertility represents a major global health concern, with oxidative stress playing a central role in the deterioration of sperm quality. In recent years, growing attention has been directed toward herbal medicine as a potential alternative or complementary therapy due to its antioxidant and multi-target properties. However, a comprehensive long-term overview of the global research landscape in this field remains limited. A bibliometric and visualized analysis was conducted using publications indexed in the Scopus database from 2005 to 2025. Eligible peer-reviewed articles were retrieved following PRISMA guidelines. Bibliometric indicators were analyzed using Biblioshiny (R-Bibliometrix) to assess publication trends, leading contributors, and thematic evolution, while VOSviewer was employed to visualize international collaboration networks, co-citation patterns, and keyword co-occurrence clusters. A total of 562 articles were included, revealing a strong upward trend in scientific output, particularly after 2016, with an annual growth rate of 15.78% and a peak in 2025. Iran, China, and Nigeria emerged as the most productive countries, while the Faculty of Veterinary Medicine and several universities in Africa, the Middle East, and Asia were identified as leading institutions. Keyword analysis highlighted three dominant research fronts: semen quality assessment, testicular histopathology, and oxidative stress–related molecular mechanisms. The collaboration network indicated increasing global and South–South research synergy. The field of herbal medicine for male infertility has evolved into a mature and multidisciplinary research domain, increasingly grounded in mechanistic and experimental evidence. These findings provide a strategic overview of research hotspots and emerging trends, offering valuable guidance for future experimental and clinical investigations.

Stock price prediction remains a complex challenge due to the dynamic and non-linear nature of financial markets, especially for banking stocks like PT Bank Negara Indonesia (Persero) Tbk (BBNI). This study aims to optimize BBNI stock price forecasting by integrating an automated Extract, Transform, Load (ETL) pipeline with the Long Short-Term Memory (LSTM) algorithm within a data engineering framework. Historical data from 2019 to 2025 were processed through a structured ETL sequence—including data cleaning, feature engineering, and MinMaxScaler normalization—to ensure high data quality. The dataset was partitioned into 80% for model training and 20% for testing to ensure rigorous evaluation. The results demonstrate that the systematic ETL approach significantly enhances model stability and predictive accuracy compared to conventional methods. The LSTM model effectively captured long-term temporal dependencies, providing reliable trend forecasts with an impressive test accuracy, achieving a Root Mean Squared Error (RMSE) of 0.0354. This research underscores that integrating robust data engineering practices with deep learning is essential for building resilient financial decision-support systems.

Digital transformation in the management of state property is a necessary step towards achieving transparent and accountable governance. The Minstry of Finance, through the Directorate General of State Assets, has developed the State Asset Management Information System Version 2 application as a means of digital based management, but its implementation still faces challenges related to interest in its use by work unit operators. This study aims to evaluate the impact of intentions, attitudes, and subjective norms on interest in using the SIMAN V2 application at the Surabaya State Assets and Auction Service Office using the Theory of Reasoned Action (TRA) approach. Using a quantitative design through a survey, this study was conducted at the Surabaya KPKNL with subjects being SIMAN V2 application operators in work units in the working area. Data colection techniques used a questionnaire with a Likert scale. Data analysis was performed using Structural Equation Modeling (SEM) based on Partial Least Square (PLS) using SmartPLS software. The results of the study indicate that intention, attitude, and subjective norms have a positive and significant effect on interest in using the SIMAN V2 application. This study shows that psychological and social factors play an important role in supporting technology adoption in the public sector. The conclusion emphasizes that increased interest in use can be achieved by strengthening individual intentions, forming positive attitudes, and providing workplace support. Increased socialization, ongoing technical training, and recommendations for further research institutional supportfrom agencies to optimize the use of the SIMAN V2 application.

The development of digital technology has significantly transformed music consumption and marketing strategies in the creative industry. The shift from physical media to digital platforms, especially short-form video-based social media like TikTok, has created a new ecosystem that emphasizes interactivity, community participation, and organic music distribution. TikTok allows users to incorporate song snippets into creative content, positioning music as both entertainment and a symbol of digital identity. This shift reveals that music popularity is now primarily driven by recommendation algorithms and user-generated content rather than traditional promotion. This study adopts a qualitative descriptive approach with phenomenological analysis to explore the relationship between music consumption behavior and marketing strategies on TikTok. Findings indicate that algorithms act as digital curators, influencing audience preferences, while user participation accelerates the viral spread of songs through challenges, remixes, and content reproduction. Effective music marketing strategies must be data-driven, trend-responsive, and capable of leveraging users' emotional and social engagement. TikTok thus serves not only as a distribution platform but also as a space for constructing global popular culture. This study contributes to digital media scholarship and offers practical implications for designing sustainable marketing strategies in the ever-evolving digital ecosystem.

The hyper-connected work era has fundamentally blurred the temporal and psychological boundaries between professional and personal spheres, triggering a productivity paradox phenomenon where increased digital connectivity is inversely proportional to long-term cognitive efficiency. Consequently, this research aims to explore deeply and comprehensively the critical roles of cognitive resilience and digital wellbeing strategies as vital preventive mechanisms against the rising risk of burnout resulting from cumulative cognitive fatigue. Employing a qualitative approach with a rigorous literature review design, this study synthesizes extensive secondary literature retrieved from accredited academic databases and global policy reports within the last five years to analyze current trends and theoretical frameworks. The in-depth analysis reveals that cognitive resilience, significantly bolstered by metacognitive digital literacy, functions as an adaptive shield against the mounting pressures of information overload and attention fragmentation. Furthermore, the findings emphatically confirm that sustainable productivity is not achieved through borderless connectivity, but rather necessitates disciplined cognitive energy management and the strict implementation of "right to disconnect" protocols. Concluding the study, it is strongly recommended that organizations integrate comprehensive digital wellbeing policies into their work culture architecture to safeguard long-term employee performance and ensure organizational sustainability amidst the challenges of the attention economy.