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Flooding is one of the most recurrent natural disasters in Central Java Province, particularly during the rainy season. Diverse geographical characteristics, high rainfall intensity, and rapid urban development contribute to the region’s high vulnerability to flood hazards. According to the Central Java Statistics Agency, a total of 414 flood events and 407,784 affected victims were recorded between 2019 and 2021. This study aims to develop a web-based Geographic Information System (GIS) capable of mapping the spatial distribution and impact levels of floods across Central Java. The methodology includes collecting flood event data from the Central Java Statistics Agency, processing spatial data such as administrative boundary shapefiles, performing attribute integration between spatial and non-spatial datasets, and creating thematic maps using QGIS. The visualization outputs were exported into an interactive web format using the qgis2web plugin and subsequently integrated into a website developed with HTML, CSS, and JavaScript. The results show that the GIS system successfully visualizes flood-prone areas, identifies regions with high flood intensity, and enables users to explore detailed information through interactive digital maps. Additional website features—such as historical flood data, statistical summaries, and descriptive impact indicators—enhance the system's usefulness for disaster analysis. This study demonstrates the crucial role of GIS in supporting disaster mitigation, spatial planning, and policy evaluation related to flood management. Future research is recommended to incorporate more recent datasets and additional non-spatial variables such as rainfall intensity and floodwater depth to improve the system’s analytical accuracy and comprehensiveness.

The integration of Artificial Intelligence (AI) into educational settings, particularly in formative assessments, offers significant benefits in terms of personalized learning, real time feedback, and increased efficiency. However, the successful implementation of AI driven formative assessments depends not only on technological capabilities but also on socio cultural and organizational factors that shape its adoption. This study explores the socio technical factors influencing the use of AI in formative assessments, emphasizing the importance of considering cultural diversity, institutional culture, and educators' beliefs. AI technologies, while powerful in automating grading and providing personalized assessments, often face limitations in addressing complex student responses that require human judgment. Furthermore, cultural factors, such as students' prior exposure to technology and different cultural attitudes towards AI, play a critical role in the acceptance and effectiveness of these tools. Organizational factors, including leadership support, digital literacy, and the readiness of institutions to adopt AI, are also key determinants in the successful implementation of AI systems in education. Teachers’ beliefs about assessment influence their acceptance and use of AI tools, highlighting the need for professional development and training to ensure that AI enhances pedagogical goals rather than replacing human expertise. The study concludes that the alignment of technology, culture, and assessment beliefs is essential for the effective use of AI driven formative assessments in educational settings. Recommendations for educational institutions include adopting a socio technical approach to AI integration, with a focus on providing resources, training, and fostering a culture of innovation. Future research directions should focus on expanding studies to diverse educational contexts, conducting longitudinal research on AI’s impact on learning outcomes, and exploring additional socio technical frameworks to guide AI adoption in education.

The active phase of labor is a crucial stage that determines the progress and success of the delivery process. Prolonged labor during this phase can increase the risk of maternal complications and reduce the comfort of the laboring mother. Various non-pharmacological interventions have been developed to support the physiological progress of labor, including acupressure at the SP6 point and oxytocin massage. This study aims to analyze the differences in the effects of SP6 acupressure and oxytocin massage on the duration of the active phase of labor at the Galala Health Center in the Tidore Islands. This study used a quasi-experimental design with a comparative approach in two intervention groups. The sample consisted of 40 mothers in the first stage of active labor who met the inclusion criteria, with 20 respondents in the SP6 acupressure group and 20 respondents in the oxytocin massage group. The duration of the first stage of labor was calculated from 4 cm cervical dilation to complete 10 cm dilation and recorded using a partograph. Data were analyzed univariately to describe the distribution of labor duration and bivariately using the Mann–Whitney U test to assess the difference between the two groups. The results showed that the median duration of the first stage of labor in the SP6 acupressure group was shorter than in the oxytocin massage group. The Mann–Whitney test showed a statistically significant difference between the two intervention groups (p < 0.05). The conclusion of this study indicates that SP6 acupressure is more effective than oxytocin massage in shortening the duration of the first stage of active labor. These findings support the use of SP6 acupressure as a safe and effective nonpharmacological intervention in intrapartum midwifery care in primary health care facilities.

Breast milk production during the postpartum period is a crucial factor in successful breastfeeding and achieving exclusive breastfeeding. However, during the early postpartum period, many postpartum mothers experience difficulties in breast milk production, influenced by physical and psychological conditions. One non-pharmacological intervention that can be used to help facilitate breast milk production is oxytocin massage, which aims to stimulate the release of the hormone oxytocin and increase the let-down reflex. This study aims to analyze the effect of oxytocin massage on breast milk production in postpartum mothers at the Marisa Community Health Center. This study used a quantitative pre-experimental design with a one-group pretest–posttest approach. The study sample consisted of 30 postpartum mothers selected using purposive sampling according to the inclusion criteria. Breast milk production was measured before and after the oxytocin massage intervention using a structured observation sheet with units of milliliters (ml). Data analysis was performed using univariate and bivariate methods. Normality was tested using the Shapiro–Wilk test, while differences were tested using the Wilcoxon signed-rank test. The results showed that the average milk output before oxytocin massage was 18.00 ± 5.95 ml, and increased to 51.83 ± 10.94 ml after the intervention. The Wilcoxon test showed a p-value of 0.000 (p < 0.05), indicating a significant effect of oxytocin massage on increasing breast milk output. It was concluded that oxytocin massage is effective as a non-pharmacological intervention to increase breast milk production in postpartum mothers and can be integrated into postpartum care in primary health care services.

Advances in information technology increasingly require communities to adapt to digital communication tools, particularly email, which functions as a key digital identity for account registration, information exchange, and online transactions. Despite its importance, digital literacy remains limited among the general public, especially rural housewives, many of whom lack awareness of the need for email accounts, have limited operational skills, and are vulnerable to cyber risks such as phishing and data theft. To address this issue, a workshop entitled “Fundamentals of Using Gmail and Account Security” was conducted for the PKK women’s group in Jompo Kulon Village to improve basic digital skills and promote safe online practices. The program aimed to introduce the functions and benefits of email, assist participants in independently creating Gmail accounts, provide knowledge on securing accounts through two-factor authentication, and train participants to send and receive emails. The workshop was delivered through an interactive face-to-face approach combining short presentations and hands-on practice using participants’ mobile devices. Initial sessions explained email as a digital identity, followed by guided account creation and security setup. The final session focused on practicing email communication to reinforce understanding. The results showed high participant engagement, with most participants successfully creating Gmail accounts, understanding essential digital security concepts, and demonstrating basic email usage skills. Overall, the activity increased awareness of personal data protection and is expected to serve as an initial step in strengthening digital literacy among women, enabling them to better adapt to ongoing technological developments.

This study aims to analyze the impact of business combinations through acquisition on the financial performance of PT Sarana Menara Nusantara Tbk. The research employs a descriptive quantitative approach, focusing on the acquiring firm in the Indonesian telecommunications infrastructure sector. The data used are secondary data obtained from the company’s annual financial statements for the period 2019–2023, sourced from the Indonesia Stock Exchange and the company’s official website. Financial performance is analyzed using Return on Assets (ROA), Return on Equity (ROE), Net Profit Margin (NPM), and Debt to Equity Ratio (DER) by comparing the periods before, during, and after the acquisition conducted in 2021. The results indicate that the acquisition exerted short-term pressure on asset efficiency and profitability, as reflected by the decline in ROA and NPM in the year of acquisition. However, in the post-acquisition period, the company demonstrated an improvement in operational performance, particularly in Net Profit Margin, suggesting that the economic benefits of the business combination gradually materialized. Meanwhile, fluctuations in ROE and DER reflect adjustments in the capital structure following the acquisition. These findings suggest that the success of an acquisition cannot be evaluated solely based on short-term financial performance but requires continuous assessment to capture its medium- and long-term effects. This study provides practical implications for management in formulating post-acquisition integration strategies and contributes empirically to the accounting and finance literature on business combinations in Indonesia.

Background: One of the factors that can trigger diabetes mellitus is a diet high in carbohydrates. Therefore, it is important to educate the community to adopt a healthy lifestyle in order to prevent various diseases, particularly diabetes mellitus. Objective: The objective of this health education activity on the prevention and management of diabetes mellitus through the implementation of a healthy lifestyle is to improve the knowledge of families of diabetes mellitus patients regarding prevention and management by applying healthy lifestyle practices. Methods: The activity was carried out for patients and their families using demonstration and discussion methods supported by leaflet media. Results: The counseling activity successfully increased respondents’ knowledge about the importance of preventing and managing diabetes mellitus through the implementation of a healthy lifestyle.Conclusion: Of the four respondents who attended the health education session on the prevention and management of diabetes mellitus through healthy lifestyle implementation, all participants demonstrated an understanding of the importance of adopting a healthy lifestyle for preventing and managing diabetes mellitus.

Employee performance is a strategic factor in the success of regional banking organizations that are oriented towards service and achieving business targets. However, empirical evidence at PT Bank Sumut Kantor Cabang Koordinator Medan, indicates that employee performance tends to stagnate in the "Good" category during the 2021–2024 period. This condition is thought to be related to career development that is not yet optimally structured, organizational commitment that has not been fully actualized in work behavior, and inadequate extrinsic motivation. This study aims to analyze the effect of career development and organizational commitment on employee performance through extrinsic motivation as a mediating variable. The study used a quantitative approach with a survey method of employees at PT Bank Sumut Kantor Cabang Koordinator Medan. Data were analyzed using Structural Equation Modeling. The results show that career development and organizational commitment influence extrinsic motivation, and extrinsic motivation plays a role in improving employee performance and mediating the relationship between variables. These findings strengthen the role of extrinsic motivation as an important mechanism in bridging human resource policies and employee performance in regional banking.

Halal tourism has continued to grow as a highly attractive segment for Muslim travelers, particularly in the provision of Sharia-compliant accommodation such as Islamic hotels. This study aims to examine consumer perceptions of halal food-and-beverage facilities and Sharia-based operational standards in Islamic hotels across the Greater Jakarta area (Jabodetabek). A descriptive quantitative approach was employed, involving 150 respondents who had stayed in Sharia hotels. Data were collected through closed-ended Likert-scale questionnaires and analyzed using the Weighted Mean Score (WMS) technique to evaluate respondents’ assessments of each indicator. The results indicate that consumer perception of halal food-and-beverage facilities falls into the very high category, with average scores exceeding 4.838. Consumers acknowledged that Sharia hotels maintain halal assurance, hygiene, and food safety through proper processing and the availability of halal certification. Regarding operational aspects, consumer perception is also classified as very good, with an average score of 4.606, particularly for policies prohibiting unmarried couples from sharing a room and banning entertainment deemed inappropriate or immoral. However, the use of Sharia-compliant financial institutions still requires improvement. Overall, the findings affirm that Sharia hotels in Jabodetabek have successfully implemented most Sharia principles, although further enhancement of internal operational practices is needed to achieve more comprehensive Sharia compliance.

This study aims to analyze the implementation of the Balanced Scorecard (BSC) as a strategic performance evaluation tool in the era of digital transformation. Using a descriptive qualitative approach within the social constructivist paradigm, data were collected through in-depth interviews, non-participant observation, and document analysis in three organizations undergoing digitalization. Thematic analysis (Braun & Clarke, 2006) identified four main themes in the application of the BSC: digital strategy alignment, digital readiness and data integration, a culture of learning and innovation, and adaptive leadership transformation. The findings indicate that the BSC functions not only as a performance measurement system but also as an adaptive, collaborative, and data-driven strategic management framework. The integration of digital technologies accelerates decision-making processes and strengthens reflective organizational culture. Theoretically, this study extends the classical BSC model of Kaplan and Norton (1996, 2001) toward a Digital Balanced Scorecard that emphasizes synergy among strategy, data, and organizational learning. Practically, the results highlight the importance of digital readiness, an innovation-oriented culture, and adaptive leadership as key foundations for successful BSC implementation in the era of digital disruption.

This research explores the development of a participatory governance model for community based waste management systems, aiming to enhance both legal compliance and public social welfare outcomes. Community based waste management (CBWM) plays a critical role in addressing environmental and health challenges, yet its success is often hindered by weak governance structures, limited community involvement, and insufficient regulatory frameworks. The study introduces a governance model that integrates local community participation into decision making processes, encouraging ownership and responsibility among residents. The primary goal is to improve compliance with environmental regulations while promoting social welfare by fostering better public health and community cohesion. A review of literature highlights key theories of participatory governance, focusing on its ability to enhance legal adherence and increase social equity. Previous studies on CBWM demonstrate the potential of community involvement in overcoming barriers to legal compliance, such as weak enforcement and fragmented governance. However, challenges like inadequate infrastructure, socio economic factors, and cultural habits still impede full participation and compliance. The study utilizes a mixed methods approach, including stakeholder analysis, participatory workshops, and regulatory compliance assessments, to evaluate the effectiveness of the model. The results show that communities involved in participatory governance exhibit higher compliance with waste management laws, improved sanitation, and healthier living conditions. Furthermore, the model fosters social capital and community empowerment, contributing to long term sustainability. In comparison to centralized waste management systems, the participatory approach is found to be more adaptable, accountable, and socially accepted. While the model presents several benefits, challenges such as infrastructure limitations and cultural barriers remain. Future research should further investigate how to address these challenges, particularly through technological integration and cross sector collaborations, to ensure the scalability and sustainability of the participatory governance model.

L House is a house design that is shaped like the letter "L". This distinctive configuration offers flexibility in spatial arrangement and creates an interesting interaction between interior and exterior areas. L House by 022Studio is a work that combines modern aesthetics with traditional values and sustainability. Through a descriptive criticism method involving interviews with architects, literature studies, and analysis of design elements, this study aims to reveal the strengths and challenges in the application of modern design in a tropical context. L House successfully integrates space with nature through the use of local materials, flexible spatial layouts, and building orientations that optimize natural lighting and ventilation. In addition, this design also makes a significant contribution to the development of modern architecture in Indonesia by demonstrating that modern buildings can be adapted to local cultural and environmental contexts. L House is a good example of sustainable architecture that can inspire similar projects in the future.

Software development effort estimation is crucial as it is one of the key factors for successful software development. This research employs Random Forest to estimate software development effort. To achieve better results, the study combines the Random Forest method with Genetic Algorithm. The results show that the China dataset provides more accurate estimation compared to the Desharnais dataset, because the China dataset uses relevant feature selection for estimation.

Student dropout remains a significant challenge for higher education institutions as it impacts academic quality, educational management efficiency, and students' success in completing their studies. Therefore, an approach that can identify students at risk of dropping out is necessary so that timely academic interventions can be made. This study aims to develop a dropout detection model using an Artificial Neural Network (ANN). The data used come from a publicly available higher education dataset, ensuring research reproducibility. Data preprocessing steps were carried out to improve data quality before modeling, and the Synthetic Minority Over-Sampling Technique combined with Edited Nearest Neighbors (SMOTE-ENN) was applied to address class imbalance issues. The ANN model's performance was evaluated using accuracy, precision, recall, F1-score, and area under the ROC curve (ROC-AUC). The test results show that the ANN model can provide excellent predictive performance in detecting at-risk students. The application of SMOTE-ENN also proved to enhance the model’s sensitivity toward the minority class, as indicated by improvements in recall and F1-score. These findings indicate that the developed ANN model has the potential to be used as a student dropout detection system to support data-driven decision-making and strategy development within higher education institutions.

Hypertension is a major global health risk that requires accurate early detection, yet conventional methods struggle with complex and imbalanced health datasets. This study aims to optimize hypertension prediction using a Logistic Regression model integrated with Borderline-SMOTE to enhance recall and provide model transparency through SHAP (Shapley Additive Explanations). The method utilizes the BRFSS dataset, applying Borderline-SMOTE to address class imbalance at the decision boundary and XAI techniques for global and local interpretation. The findings show that the model achieved an accuracy of 0.719, an AUC of 0.800, and a significantly improved recall of 0.756. SHAP analysis identified age, high cholesterol, and BMI as the most influential risk factors, while waterfall plots successfully clarified individual risk extremes, ranging from 1.72% to 99.43% probability. These results imply that the proposed approach provides a sensitive and transparent screening tool for public health practitioners, effectively balancing statistical efficiency with clinical accountability.

This study aims to compare the effectiveness of QRIS with other cashless payment methods in driving the development of the digital economy in Indonesia. The background to this study stems from the increasing use of digital transactions and the strategic role of QRIS as a national standard for QR-based payments. Google Forms was used to disseminate the survey online and successfully collected 100 respondents who were users of cashless digital payment services. A purposive sampling technique was used to ensure that respondents had experience using QRIS and other digital payment methods. Data were examined using the SmartPLS 4 program using a Partial Least Squares Structural Equation Modeling (PLS-SEM) approach to test the relationships between variables. The results indicate that perceived ease of use, transaction security, and influence on digital behavior have a positive or significant influence on QRIS effectiveness. However, availability and accessibility variables did not have a significant effect. This finding indicates that QRIS effectiveness is more influenced by user experience and perceptions, rather than availability or ease of access. This research is expected to contribute to the development of strategies to increase digital payment adoption in Indonesia.

The rapid development of the sea transportation industry produces a massive and complex volume of transaction data, requiring strategic management to support managerial decision-making. This research aims to implement the Executive Information System on SeaPass in order to evaluate the performance of ship ticket sales. The research method uses data visualization with a two-level drill-down mechanism, which allows the presentation of information hierarchically from general summaries to specific details. The methodological stages include needs analysis, user interface (UI) design using Figma, front-end implementation with HTML, CSS, and JavaScript, database integration, and system testing through Black Box Testing. The results showed that the SIE implementation successfully integrated operational data, including schedules, ships, and manifests, into an interactive dashboard. The two-level drill-down feature provides the ability for executives to identify operational anomalies and market fluctuations in real-time. In conclusion, the system significantly enhances executive data analysis capabilities, transforming complex transaction data into accurate strategic information, thereby supporting more precise business decision-making and adaptive to the dynamics of the marine transportation market.

This research aims to examine how prices and reviews influence consumers 'purchasing decisions on the Shopee platform in Jambi City. The rapid development of e-commerce has encouraged consumers to be more careful and discerning when selecting products, making price and product reviews important considerations in buying decisions. This study employed a quantitative approach via a survey method for data collection. The questionnaires were distributed online and successfully gathered responses from active Shopee users in Jambi City. Purposive sampling was employed to make sure that respondents met research criteria. The information gathered underwent analysis using IBM SPSS Statistics 27, which involved conducting assessments of validity, reliability, and classical assumptions, and multiple regression tests to see the impact of each variable on buying decisions. The study revealed that product price and reviews hold an important and relevant impact on consumer buying decisions. This research indicates that the more competitive the price and the better the quality, the bigger the possibility of customers buying products on Shopee.

The development of digital technology has encouraged the government to utilize social media as an effective means of public communication. The Ministry of Agriculture is one institution that actively uses Instagram to convey information, build a positive image, and interact with the public. This study aims to determine the Public Relations strategy in managing the Instagram social media account @kementerianpertanian. This study uses the Public Relations strategy theory from Cutlip and Center, which consists of four stages: problem identification, planning and programming, communication and action, and evaluation. The research method used is a descriptive qualitative approach, with data collection techniques through in-depth interviews and documentation of the Ministry of Agriculture's Public Relations team. The results show that the Ministry of Agriculture's Public Relations has implemented a planned communication strategy, starting from planning informative and educational content, utilizing Instagram features such as reels, stories, and live to increase interaction, to routine evaluation based on engagement data (likes, shares, comments, and saves). This strategy also adapts to social media trends and audience needs. Public Relations actively responds to user questions and comments to maintain two-way communication. However, challenges such as negative comments, limited resources, and changes in the Instagram algorithm are obstacles that still need to be overcome. Overall, the implemented strategy has successfully supported the improvement of the image and transparency of public information within the Ministry of Agriculture.

The increasing social and cultural diversity of contemporary societies has positioned schools as strategic spaces for nurturing inclusive attitudes and managing the challenges of pluralism. Many schools still face obstacles such as limited teacher readiness, inadequate curriculum representation of diversity, and school cultures that are not fully supportive of inclusive practices. This study aims to analyze school strategies in fostering students’ inclusive dispositions in response to pluralistic challenges. The research employed a descriptive qualitative approach through library research, using purposive sampling to select relevant scientific literature. Data were analyzed using an interactive model that involved data reduction, data display, and conclusion drawing. The findings indicate that participatory learning strategies, the application of Universal Design for Learning, and project-based learning are effective in strengthening students’ inclusive attitudes, empathy, and tolerance. The role of teachers as role models, the development of inclusive school culture, and active community involvement were identified as key supporting factors for successful inclusive education. The implications of this study highlight the importance of synergy between teacher professional development, curriculum adaptation, and school policy reinforcement to establish equitable, inclusive, and sustainable educational practices in pluralistic contexts.