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Maternal hypertension remains one of the major contributors to maternal morbidity and mortality in Indonesia and globally. This study aimed to analyze the prevalence, mortality trends, and geographical disparities of maternal hypertension in Indonesia during the 2022–2023 period. The research employed a descriptive design using secondary data obtained from official reports of the Indonesian Ministry of Health, national health surveys, and Maternal Perinatal Death Notification (MPDN) data. Data analysis was conducted descriptively by examining prevalence rates, maternal mortality due to hypertension, regional distribution, and temporal trends across provinces in Indonesia. The findings showed a slight but consistent decline in both the prevalence and mortality rates of maternal hypertension from 2022 to 2023 in most provinces. However, significant regional disparities remained evident. Provinces in eastern Indonesia, including Papua Barat, Nusa Tenggara Timur, Maluku, and several provinces in Sulawesi and Kalimantan, consistently recorded higher prevalence and mortality rates compared to provinces in Java and Bali. Meanwhile, provinces with better healthcare infrastructure and maternal referral systems demonstrated lower mortality outcomes. The study also revealed a strong association between high prevalence and increased maternal mortality, indicating the importance of healthcare accessibility, antenatal care quality, and emergency obstetric services in reducing maternal health burdens. These findings emphasize the need for region-specific maternal health interventions, improved healthcare distribution, early detection programs, and strengthened referral systems to reduce maternal hypertension disparities and improve maternal health outcomes in Indonesia.

This study aims to explore the phenomenon of using a second Instagram account among Generation Z as a strategy for impression management and privacy protection. Amidst the dominance of a culture of show-off and hegemonic aesthetic standards on primary accounts, Generation Z tends to experience aesthetic fatigue and social pressure due to scrutiny from diverse audiences (context collapse). Using Erving Goffman's Dramaturgy theory, this study examines how individuals construct distinct identities on the front stage and back stage. The research method used is descriptive qualitative. Data were collected through in-depth interviews with five Generation Z informants who have multiple accounts, as well as passive participant observation of their digital activities. The sampling technique used was purposive sampling, while data analysis followed the Miles and Huberman model, which includes data reduction, data presentation, and drawing conclusions. The results show that the primary account functions as a highly curated front stage to maintain professional and social reputations. Conversely, the second account functions as a back stage that allows Generation Z to engage in emotional catharsis, honest self-disclosure, and identity experimentation through unique names (pseudonyms). The use of a second account is a strategic response to reclaim personal authority over their life narratives from the pressure of algorithms and public judgment. The study concludes that second accounts are not just a technological trend, but rather a self-defense mechanism for Generation Z to maintain authentic space and maintain mental health amidst massive digital transparency.

Social media X (Twitter) has become the main platform for the Indonesian public to express opinions, including on the trend of 'kabur aja dulu' (let's just run away for a bit). This research aims to classify the sentiments of the public using the Naïve Bayes and Support Vector Machine (SVM) methods, and to compare the accuracy of both in sentiment analysis. Data was collected via the Twitter API with the hashtag #kaburajadulu, resulting in 2,067 tweets, which, after the cleansing process and manual labeling, left 385 data points. The analysis process followed the CRISP-DM stages, which include business understanding, data understanding, data preparation, modeling, evaluation, and deployment. Model evaluation was conducted using a confusion matrix with accuracy, precision, and recall metrics. The classification results show that 82% of tweets have a positive sentiment and 18% negative. The Naïve Bayes algorithm achieved an accuracy of 86.49%, slightly lower than SVM, which reached 88.05%. In conclusion, Support Vector Machine is more effective in sentiment classification on public opinion data. This research contributes to the digital mapping of public opinion and recommends the development of automatic labeling methods as well as the exploration of advanced algorithms in the future.

This study aims to analyze public sentiment toward the hashtag #KaburAjaDulu, which has circulated widely on the social media platform X (formerly Twitter). The hashtag reflects the growing anxiety among the public, especially younger generations, regarding socio-political issues in Indonesia. The data were collected using web scraping techniques, focusing on user-generated tweets that contain the hashtag. A comprehensive text preprocessing phase was conducted to clean the raw data by removing irrelevant elements such as URLs, emojis, numbers, and punctuation. The research applies a hybrid classification approach using a combination of Support Vector Machine (SVM) and Random Forest algorithms to categorize sentiment into three classes: positive, negative, and neutral. The performance of the model was evaluated using metrics such as accuracy, precision, recall, and F1-score to determine the effectiveness of the classification. The study aims to demonstrate that combining algorithms can improve classification performance compared to using a single algorithm. This research contributes to the field of sentiment analysis and provides valuable insights for researchers, policymakers, and social observers in understanding public opinion trends in digital media.

The rise of social media has created a digital public sphere that enables users to express their opinions on social and political issues openly and in real-time. One of the most discussed topics on social media platform X is the trending hashtag #IndonesiaGelap, which reflects public concern and criticism regarding various governmental and societal conditions. This study aims to conduct sentiment analysis on tweets containing the hashtag to determine the overall sentiment trend among users. The method employed in this research is the Naive Bayes classification algorithm, known for its simplicity and effectiveness in text classification. To enhance the model’s performance, Particle Swarm Optimization (PSO) is applied to optimize feature selection and parameter tuning. The dataset consists of public tweets collected via the Twitter API, followed by preprocessing, feature extraction using TF-IDF, and sentiment classification into three categories: positive, negative, and neutral. The results indicate that the integration of PSO significantly improves the classification accuracy of the Naive Bayes model compared to the baseline. The majority of tweets related to #IndonesiaGelap exhibit a negative sentiment, indicating widespread public dissatisfaction and criticism. This research is expected to contribute to a better understanding of public perception and serve as valuable input for stakeholders in addressing social issues in the digital age.

Flooding is one of the most frequent disasters in DKI Jakarta and contributes not only to physical and economic losses but also to the emergence of various psychological problems among affected communities. This study aims to analyze the psychological impacts of post-flood disasters, particularly among vulnerable groups such as children and the elderly, and to examine the effects of repeated flood exposure on mental health conditions. This study employs a literature review method with a qualitative descriptive approach through the identification and synthesis of relevant scientific sources. Data analysis was conducted using content analysis to identify patterns, relationships, and trends in research findings. The results indicate that flooding is associated with psychological disorders such as stress, anxiety, depression, and post-traumatic stress disorder (PTSD), with varying levels of severity. Repeated exposure to flooding has been shown to increase individuals’ vulnerability to mental health problems and reduce psychological well-being. However, protective factors such as social support, religiosity, emotional regulation abilities, and adaptive coping strategies play a significant role in strengthening resilience and accelerating psychological recovery. The findings highlight the importance of a holistic disaster management approach that integrates mental health services, strengthens community capacity, and enhances preparedness education to improve the psychological resilience of flood-affected communities.

Consumerism is an attitude, mindset, and lifestyle that prioritizes superficial desires. It is influenced by the development of globalization, which has had an impact on people’s lives, both in the cultural and technological fields. Currently, consumerism is a trend in society, with people competing to find happiness by purchasing items that suit their desires, and sometimes seeking recognition from others through consumerist behavior. The rapid development of globalization has greatly influenced today’s societal mindset, with people preferring superficial happiness without considering the impact behind it. The birth of consumerism is inseparable from the rapid development of technology, in this case social media. The presence of social media makes it easier for people to access various things, so that consumerism culture thrives because social media has provided various things. This concept is inversely proportional to Boethius’s concept of happiness. Boethius’s concept of happiness is not about superficial or temporary happiness (wealth, pleasure, and recognition from others), but true, eternal happiness. The purpose of this paper is to understand Boethius’s concept of supreme happiness, which will serve as a critique of consumerist culture. This research uses qualitative methods with a literature review approach (research gap), as well as a philosophical analysis of Boethius’s work, specifically regarding supreme happiness. The results indicate that Boethius’s concept of supreme happiness lies not in material wealth, social recognition, or pleasure, but rather in a relationship with the Divine, or transcendence. Therefore, the implication of this research is the need to reorient society’s understanding of true happiness.

This study aims to analyze trends in scientific publications related to the application of green banking in financing products within Islamic banking in Indonesia during the 2019–2024 period. Using a bibliometric analysis method based on Google Scholar data and mapping via VOSviewer software, this study evaluates 60 selected articles. The study results indicate a significant annual increase in publications, with a primary focus on integrating green banking principles into Islamic financing policies, their impact on profitability, and the role of technology in supporting green banking. Additionally, the study found that environmental sustainability, green financing, and digital transformation are the most dominant themes in the development of green banking research within Islamic banking. Bibliometric network analysis indicates a strong interconnection between the concepts of green finance, sustainable banking, and Islamic banking in supporting sustainable economic development. This study also identifies opportunities for further research related to the effectiveness of green banking implementation on the financial performance and social responsibility of Islamic banking. These findings contribute to the development of green finance literature in the Islamic finance sector and serve as a strategic reference for regulators and practitioners in implementing sustainable banking policies in the future.

This study aims to improve subcontractor safety performance through strengthening governance systems, leading safety indicators, capability building, and performance monitoring at PT Putra Perkasa Abadi (PPA) Jobsite Borneo Indobara (BIB). The research was motivated by the increasing trend of subcontractor incidents during Quarter 1 to Quarter 3 of 2025, where seven incidents occurred and exceeded the company threshold. In addition, subcontractor performance evaluation scores remained below the target threshold of 70, while customer satisfaction scores in subcontractor management decreased from 8.45 to 7.58. The study applied a continuous improvement approach using Quality Control Circle (QCC), Pareto analysis, Nominal Group Technique (NGT), and root cause analysis with the Ishikawa method. Improvement initiatives were implemented through four strategic pillars: strengthening governance, reinforcing leading indicators, capability building, and integrated dashboard monitoring. The implementation results showed significant improvements in subcontractor safety management. The subcontractor incident frequency rate was reduced to zero incidents in Quarter 4 of 2025, subcontractor performance evaluation increased above the threshold to 70.81, and customer satisfaction scores improved to 8.55. The findings indicate that structured governance strengthening combined with real-time monitoring and subcontractor engagement can significantly improve mining safety performance and stakeholder trust.

Management psychology is an approach that plays a crucial role in understanding individual and group behavior within organizations, particularly in the ever-evolving educational and work environments. The application of psychological principles to management practice is believed to improve performance, leadership effectiveness, and create a more conducive work and learning environment. This study aims to examine the development of trends, approaches, and key findings in the study of management psychology through a literature review. Furthermore, this study also seeks to answer two research questions: (1) how have management psychology research trends developed over the past five years, and (2) what are the key findings in the educational and organizational contexts. The method used is a qualitative approach by searching various literature sources through the Google Scholar and Publish or Perish (PoP) databases, using the keyword "management psychology." Of the 20 articles found between 2021 and 2026, five were selected as the most relevant for further analysis. The study results indicate three dominant themes: the role of management psychology in education, the influence of motivation and leadership on performance, and its contribution to the organizational adaptation process. The conclusions of this study confirm that integrating psychological aspects into management plays a crucial role in increasing organizational effectiveness. Therefore, further research is recommended to empirically examine the relationship between psychological variables and a broader scope.

.This study aims to analyse the role of Financial Information Systems (FIS) in supporting risk management, decision-making, and organisational performance in the digital transformation era. This study employs the Systematic Literature Review (SLR) method to examine articles indexed in Scopus from 2016 to 2026. The PRISMA framework is used to ensure a systematic, transparent article selection process, resulting in the selection of 37 relevant articles for further analysis. The results of the study show that Financial Information Systems make a major contribution to improving financial transparency, operational efficiency, the quality of strategic decision-making, and organisational risk mitigation. In addition, the integration of emerging technologies such as Artificial Intelligence (AI), FinTech, big data analytics, and cloud computing further strengthens the effectiveness of financial information systems in modern organisations. This study contributes theoretically by mapping research trends and identifying research gaps, while providing practical benefits for organisations seeking to increase competitiveness through digital financial systems. For future research, it is recommended to develop a more predictive and intelligent Financial Information Systems model to address future business dynamics.

Dengue Hemorrhagic Fever (DHF) remains a major public health problem in Indonesia, particularly in densely populated areas. Control efforts require accurate data and spatial analysis to understand disease distribution patterns. Geographic Information System (GIS) is an effective tool for visualizing case distribution and supporting surveillance and planning of control programs at the primary healthcare level. This study aims to describe the spatial distribution of Dengue cases based on medical record data and produce a geographic distribution map to support Dengue control efforts at the Puskesmas level. This study used a quantitative descriptive design with secondary data from medical records at Karangsari Health Center. The sample consisted of 255 DHF patients in 2025, selected using a total sampling technique. Data were processed through editing, geocoding patient addresses, and spatial analysis using QGIS software.The results showed 255 Dengue  cases in 2025 with fluctuating monthly trends, peaking in April and lowest in December. Case distribution was uneven and tended to cluster. High-risk areas accounted for 15.7%–21.2%, moderate-risk areas 9.8%–15.7%, and low-risk areas 7.1%–9.8%. Megu Cilik Village had the highest proportion of cases, while other villages were categorized as moderate and low risk. This pattern indicates that Dengue incidence is influenced by environmental conditions, vector density, host factors, rainfall, and Aedes aegypti presence. GIS provides clearer spatial visualization, helping identify high-risk areas and supporting targeted public health interventions.

This study examines the role of QRIS as a non-cash payment system in supporting the digitalization of micro, small, and medium enterprises (MSMEs) in Indonesia. The rapid growth of digital transactions has encouraged MSMEs to adopt more efficient, practical, and secure payment systems. This study aims to integrate the benefits and barriers of QRIS, map its position in the MSME digitalization process, and develop a conceptual framework for future research. A descriptive qualitative approach with a literature study design was employed, utilizing relevant academic sources related to QRIS, MSMEs, digital payments, and user behavior. Data were analyzed using content analysis by comparing, interpreting, and synthesizing findings from selected literature. The results indicate that QRIS contributes to simplifying transactions, improving operational efficiency, reducing cash dependency, and supporting MSMEs’ adaptation to digital payment trends. However, its implementation remains constrained by factors such as digital literacy, user readiness, trust, and infrastructural limitations. The study also highlights that QRIS adoption is influenced not only by technological advantages but also by perceived value and user trust. Therefore, QRIS can be positioned as a strategic instrument in accelerating the digital transformation of MSME payment systems. The findings imply the need for further empirical research to examine the direct impact of QRIS adoption on MSME performance and sustainability.

The ICU is one of the largest clinical cost centers in hospitals due to its high demand for human resources, medical equipment, and operational costs. This situation emphasizes that intensive care unit efficiency is a multidimensional issue that cannot be assessed solely from a single aspect. This study aims to analyze the efficiency of the intensive care unit at Ciremai Hospital, Cirebon City, using the Data Envelopment Analysis (DEA) model to determine resource optimization. Analytical quantitative study with a cross-sectional design. The population in this study consisted of personnel in the ICU of Ciremai Hospital from 2023 to 2025, with total sampling applied. The input variables included the number of physicians, nurses, beds, monitors, and ventilators, while the output variables consisted of BOR, LOS, and recovered patients. The ICU input variables remained stable during the study period, while output variables fluctuated with a declining trend in BOR and LOS. The results of the Data Envelopment Analysis (DEA) indicated that all study periods achieved an efficiency score of 1.00 (efficient), with a slack value of 0.00 across all input variables.

The development of Indonesia’s traditional cuisine faces significant hurdles as shifting consumer preferences increasingly favor modern food options. This trend necessitates innovative approaches to ensure local culinary heritage remains competitive. This study examines the role of sociopreneurship as an innovation strategy at Ingkung Djawa Waroeng Ndesso. Utilizing a descriptive qualitative design, the research gathered insights from the business owner and employees selected via purposive sampling. Data collection involved interviews, observations, and documentation, with validity ensured through source triangulation. The analysis followed the Miles and Huberman model, encompassing data reduction, presentation, and conclusion drawing. Findings reveal that implementing sociopreneurship effectively integrates economic and social objectives by preserving authentic recipes, empowering local communities, and generating employment. Key innovations include diversifying product offerings while maintaining authenticity and leveraging social media for strategic marketing. These results demonstrate that social entrepreneurship serves as a powerful mechanism for enhancing business competitiveness while safeguarding cultural sustainability. The study implies that traditional culinary development can be successfully managed through a sociopreneurial framework, allowing for modern innovation without compromising core cultural values. Consequently, this model offers a sustainable pathway for traditional businesses to thrive amidst the challenges of contemporary market globalization.

This study aims to analyze the development of studies on the use of biomass as a renewable energy source to support national energy security using a bibliometric approach. Research data were obtained from the Scopus, Web of Science, and Google Scholar databases with a publication range of 2015-2025. The analysis was conducted using VOSviewer and Biblioshiny. The results show a significant increase in publication trends in the last decade, especially in the period 2016-2024, reflecting the increasing academic attention to biomass as a solution in the energy transition. Keyword visualization shows that biomass is closely related to concepts such as combustion, thermal efficiency, calorific value, and pelletizing. China is the country with the highest publication contribution, while Indonesia is strategically positioned due to its abundant biomass waste potential. Overall, biomass has great potential to support energy diversification, reduce dependence on fossil fuels, and strengthen national energy security in a sustainable manner.

This article examines the phenomenon of interfaith solidarity rapidly flourishing in Indonesia’s digital sphere during Ramadan, specifically through the viral "war takjil" trend involving active participation from non-Muslim communities. With national social media users reaching 180 million, digital platforms have transformed into crucial interaction spaces facilitating fluid and participatory interfaith communication. This research employs a qualitative approach using literature review, phenomenological analysis, and theological reflection within the Catholic tradition to understand the meaning behind this social behavior. Main findings indicate that this phenomenon is a concrete manifestation of bottom-up pluralism, emerging organically from daily social interactions. Based on the Contact Hypothesis, these digital interactions successfully reduce prejudice by achieving common goals and maintaining equal status in public spaces. Theologically, the phenomenon reflects the spirit of universal brotherhood and solidarity emphasized in the documents Fratelli Tutti and Nostra Aetate. The article concludes that healthy pluralism is the capacity to maintain one's own faith identity while actively building bridges of love with those of different beliefs. The implications emphasize the importance of media literacy for faith educators and catechists to guide the community in responding to digital social dynamics constructively without compromising theological truths. This study serves as a reference for developing inclusive, love-based interfaith communication strategies within Indonesia’s diverse digital society.

This study aims to explore the trends in the development of scientific publications on beauty privilege, focusing on the growth in the number of articles, citation trends, as well as keyword mapping and the dominant themes emerging in the literature. The method used is a literature review with a descriptive bibliometric approach, referring to the PRISMA model which includes four stages: identification, screening, eligibility, and inclusion. Data were collected from Google Scholar using the Publish or Perish (PoP) software, with the keyword “beauty privilege.” The analysis results show that the number of publications has increased significantly since 2021, peaking in 2023 and 2024. In terms of citations, 2023 is the most influential year, having the highest number of citations. Keyword analysis using VOSviewer generated seven topic clusters, with dominant keywords such as beauty privilege, body shaming, and social media. The conclusion of this study indicates that the topic of beauty privilege is becoming increasingly relevant and evolving, opening opportunities for further research from various social, cultural, and psychological perspectives.

This study is motivated by the increasing competition in the Muslim fashion industry, which encourages SMEs to develop effective marketing strategies to build brand image. The purpose of this study is to analyze the implementation of the marketing mix (4P) strategy in strengthening the brand image of Bell.Scraft SMEs. This research employs a qualitative approach using a case study design. Data were collected through interviews, observations, and documentation, and then analyzed using the data analysis techniques of Miles, Huberman, and Saldana, which include data condensation, data display, and conclusion drawing. The results indicate that the product aspect is carried out through continuous trend research and market needs analysis, the pricing aspect applies a combination of cost-based and value-based approaches, the distribution aspect utilizes a multichannel strategy through resellers, social media, and marketplaces, while the promotion aspect focuses on trust-based digital strategies through authentic content and influencers. Overall, the implementation of the marketing mix (4P) supports the strengthening of Bell.Scraft’s brand image amid market competition. The implications of this study suggest that the use of integrated and digital-based marketing strategies can enhance the competitiveness of SMEs and build long-term relationships with consumers.

Amid intense market competition, the profitability of manufacturing companies is not solely determined by sales volume but is highly dependent on the precision of financial management, particularly in managing the working capital cycle and operating cash flow circulation. This study aims to evaluate the relationship between Working Capital Turnover (X1) and Operating Cash Flow (X2) on Profitability (Y) in consumer goods industry companies listed on the Indonesia Stock Exchange during the 2022–2024 period. Using a quantitative approach and multiple linear regression analysis, this study processes 77 observations that have passed purposive sampling and outlier testing. The partial test results reveal contrasting findings: Working Capital Turnover (X1) does not have a significant effect on profitability, while Operating Cash Flow (X2) is proven to be a strong positive determinant. However, simultaneously, both variables have a significant influence on the financial performance of companies (Fhitung 24,008 > Ftabel 3,08), with operating cash flow acting as the dominant driving factor of profit. The implications of these findings emphasize that to maintain profit stability, management should prioritize the availability of cash generated from core operations, while investors should be more attentive to cash flow trends as an indicator of fundamental financial health before making investment decisions.