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Gluten-free flour-based cookie products face a major challenge in producing physicochemical and sensory characteristics equivalent to wheat-based products due to the absence of gluten as a structural component. One common approach to address this issue is the addition of hydrocolloids, such as glucomannan and xanthan gum. This study aims to systematically examine the effect of the ratio of glucomannan and xanthan gum on the texture characteristics, spreadability, and sensory properties of gluten-free flour-based chocolate cookies using the Systematic Literature Review (SLR) method. The literature search process was carried out on several scientific databases using keywords related to gluten-free cookies, glucomannan, xanthan gum, texture, spreadability, and sensory properties. Selected articles were selected based on inclusion and exclusion criteria, then analyzed and synthesized narratively with reference to the PRISMA guidelines. The results of the study indicate that xanthan gum tends to increase the hardness and structural stability of cookies, but can decrease spreadability and crispiness at high concentrations. Conversely, glucomannan plays a role in enhancing softness and mouthfeel through its high water-binding capacity, although it can potentially limit spreadability if used excessively. The combination of glucomannan and xanthan gum exhibits a synergistic effect in balancing textural characteristics and enhancing sensory acceptability. In conclusion, optimizing the ratio of glucomannan to xanthan gum is a key factor in developing gluten-free chocolate cookies with optimal physicochemical and sensory characteristics.

This study aims to examine the implementation of the Integrated Dynamic Archival Information Sistem (SRIKANDI) application in digital archive management at the Public Works and Public Housing Agency (PUPR) of Jambi Province. This study applies a qualitative approach using descriptive methods. Data collection techniques were carried out through observation, in-depth interviews, and documentation of informants directly involved in archive management and the use of the SRIKANDI application. The analysis of policy implementation in this study is based on Edward III's theory, which covers the dimensions of communication, resources, disposition, and bureaucratic structure. The findings of the study show that the implementation of the SRIKANDI application in the Road Construction Division has been carried out, but it has not been running optimally. The use of the application is still mostly focused on correspondence activities, while the comprehensive archive management function has not been optimally implemented. Factors supporting implementation include the existence of clear regulations, leadership commitment, and the availability of socialization and training activities. Meanwhile, the obstacles found include limitations in internet network quality, application stability, and differences in the level of human resource capabilities and adaptation to digital sistems. This study concludes that the successful implementation of SRIKANDI is not only influenced by the availability of technology, but also by the readiness of organizations and human resources in supporting the transformation of digital archive management. In addition, this study also provides several strategic recommendations to improve the effectiveness of implementation.

This internship program aims to find out the important role of management accountability in controlling operational costs to improve financial performance in savings and loan cooperatives of Bahtera Sejahtera Credit Union.The research method used is a descriptive qualitative approach with data collection techniques through observation,interviews,and documentation. The role of management accounting in controlling operational costs to improve financial performance in the Bahtera Sejahtera Maumere Credit Union savings and loan cooperative,it can be concluded that management accounting has a very important role in supporting management decision-making.Through the application of management accounting,cooperatives can plan,control,and evaluate operational costs more effectively and efficiently. Controlling operational costs through budgeting,cost analysis,and internal financial reporting can help management identify cost wastage and improve resource use efficiency.This has a positive impact on the financial performance of cooperatives,which is reflected in increased operational effectiveness and financial stability. Thus,the implementation of good management accounting in the Bahtera Sejahtera Maumere Credit Union savings and loan cooperative can be a strategic tool in improving financial performance and supporting the sustainability and growth of the cooperative can be a strategic tool in improving financial performance and supporting the sustainability and growth of the cooperative in the future

This study aims to analyze the risk of non-performing loans from a financial accounting perspective at the Bahtera Sejahtera Credit Union where Nita works. This study was conducted at the Bahtera Sejahtera Credit Union where Nita works from August 1 to December 19, 2025, located in Nita Village, Nita District, Sikka Regency. Data was collected using interviews, observation, documentation, and literature study techniques. Data analysis techniques consisted of three steps, namely data reduction, data presentation, and conclusion drawing and verification. The results of this study indicate that non-performing credit risk is one of the main risks faced by KSP CU Bahtera Sejahtera Tempat Pelayanan Nita and has a significant effect on the cooperative's financial condition. This risk mainly arises due to delays and the inability of members to fulfill their loan payment obligations in accordance with the agreed terms. From a financial accounting perspective, non-performing credit risk management has been carried out through a measurement process based on loan collectability, recognition by forming a credit loss reserve, and presentation and disclosure as reflected in the financial statements and notes to the financial statements. The application of these accounting treatments aims to present financial information that is fair, transparent, and reliable to both internal and external parties of the cooperative. Non-performing credit risk has a direct impact on the decline in surplus (SHU) and has the potential to disrupt the liquidity of the cooperative. Therefore, credit risk control through loan feasibility analysis, payment monitoring, and the establishment of adequate loss reserves is essential to maintain the stability and sustainability of the cooperative's business. Thus, the application of appropriate financial accounting in managing credit risk is an important factor for KSP CU Bahtera Sejahtera Tempat Pelayanan Nita in improving financial performance and maintaining member trust.

Three-phase induction motors are essential components in industrial cooling systems that require reliable overcurrent protection to maintain operational continuity and prevent equipment damage. In the Cooling Tower Pump panel at PT DongJin Indonesia, a limitation was identified where the terminal of the Electronic Overcurrent Relay (EOCR) could not accommodate the 50 mm² power cable, preventing direct current measurement. This study aims to analyze the effectiveness of integrating a 200:5 A Current Transformer (CT) with the EOCR as an adaptive protection solution that is both safe and efficient. The research employs a case study approach through field observation, motor current measurement using a Fluke 303 Clamp Meter, and descriptive analysis of the recorded data. The results indicate that the three motors operate under stable load conditions, with current values ranging from 236.7 A to 275.7 A, while the secondary current detected by the EOCR ranges from 3.7 A to 3.9 A, consistent with the CT transformation ratio. During the starting phase, the current surged to 600.4 A without causing false tripping, demonstrating that the EOCR effectively distinguishes temporary inrush current from actual fault conditions. Therefore, the integration of CT–EOCR is proven to enhance measurement safety, maintain motor operational stability, and support efficient system maintenance in industrial environments.

High-dimensional clinical data exhibit complex and non-linear relationships among patient attributes, where outcomes are often influenced by feature interactions rather than isolated variables. However, many existing machine learning models prioritize predictive performance while providing limited interpretability and insufficient insight into interaction structures. This study aims to address this limitation by developing an interpretable and robust framework for feature interaction mining in clinical data. We propose a hybrid tree–neural modeling framework that explicitly captures and ranks feature interactions while maintaining stable predictive performance. Tree-based ensemble models are employed to identify non-linear interaction patterns, while neural representations enhance learning flexibility and generalization. The framework integrates interaction importance analysis, cross-validation–based stability assessment, and evaluation across multiple data splits to ensure robustness and interpretability. Experiments conducted on a real-world high-dimensional clinical dataset demonstrate that the proposed approach achieves consistent predictive performance, with AUC values ranging from 0.628 to 0.641 across five cross-validation folds (mean AUC ≈ 0.633). Performance remains stable under varying train–test splits, indicating strong generalizability. Interaction analysis reveals that a small number of dominant feature interactions—such as age combined with length of hospital stay and medication count combined with diagnostic information—consistently contribute to model predictions, appearing in over 80% of validation folds. Ablation studies further confirm that removing interaction-aware components leads to noticeable performance degradation, highlighting their importance.  In conclusion, this study demonstrates that explicit feature interaction modeling enhances interpretability, stability, and generalization in clinical prediction tasks. The proposed hybrid framework provides a reliable foundation for developing trustworthy and transparent clinical decision-support systems

This research benchmarks multiple machine learning (ML) algorithms for large-scale loan default prediction using a real-world dataset of 255,000 borrower records, where default cases represent only ~9–12% of total observations. The study addresses the persistent gap in comparative analyses of ML models that balance predictive accuracy, interpretability, and computational efficiency for credit risk assessment. Six algorithmic families were evaluated Logistic Regression, Random Forest, XGBoost, LightGBM, CatBoost, Artificial Neural Networks (ANN), and Stacked Ensemble—using standardized preprocessing, hybrid imbalance handling (SMOTE, class weighting, under-sampling), and comprehensive evaluation metrics (AUC, F1, Recall, Precision, PR-AUC, and Brier Score). Empirical results show Logistic Regression achieved the highest AUC of 0.732, outperforming nonlinear models under the baseline configuration, while LightGBM attained perfect recall (1.0) but low precision (0.116), indicating over-prediction of defaults. Gradient boosting models demonstrated robust calibration (Brier ≈ 0.114–0.116) and the best computational efficiency, with LightGBM showing the fastest training and lowest memory use. CatBoost exhibited strong recall but the slowest computation, and ANN underperformed on tabular data (AUC ≈ 0.56). The Stacked Ensemble delivered balanced results with AUC = 0.664 and improved overall stability. These findings confirm that boosting-based models, particularly LightGBM and CatBoost, offer superior scalability and calibration, whereas Logistic Regression remains a valuable interpretable baseline. The study concludes that effective default prediction requires integrating rebalancing, calibration, and threshold optimization to enhance recall and operational deployment reliability in large-scale credit ecosystems.

This study examines how the transition from manual to digital services influences user satisfaction through digital service quality and user perception at the Marine and Fisheries Office of Pekalongan Regency. The research employs a mixed-methods approach, combining a quantitative survey (N = 40) using Pearson correlation analysis with qualitative interviews involving service leaders and operators. The results reveal very strong correlations between service quality, user perception, and user satisfaction, as well as the critical role of system stability and operator assistance in shaping user experience. Qualitative findings confirm that changes in work culture, leadership, and human resource adaptation are key factors in the success of digitalisation. The study implies that the success of digital public services is determined not only by technology but also by strengthening human resource capacity, simplifying service design, and providing operator support for users with low digital literacy. The limitations of this study include the small sample size, the single organisational context, and reliance on perception-based data. Future research is recommended to conduct comparative cross-agency studies, longitudinal approaches, and structural model testing to examine the mediating roles of digital literacy and operator assistance.  

Natural fiber based composite materials are increasingly being developed as an environmentally friendly alternative to synthetic fiber-based composites. This study aims to characterize the thermal and mechanical properties of natural fiber composite materials and evaluate their potential use as sustainable materials. Composites are made using natural fibers as reinforcement and a polymer matrix through a specific molding method. Mechanical property characterization includes tensile tests, flexural tests, and impact tests, while thermal property characterization is carried out using thermal analysis to determine the thermal stability of the material. The test results show that the addition of natural fibers has a significant effect on improving the mechanical properties of the composite, especially tensile strength and elastic modulus, compared to the unreinforced matrix. In addition, natural fiber composites show quite good thermal stability over a certain temperature range, making them suitable for non-structural applications. Based on these results, natural fiber composite materials have the potential to be developed as environmentally friendly materials that have competitive mechanical and thermal performance.

The rupiah plays a vital role as a symbol of national identity and sovereignty, but awareness among rural communities about its function and importance is often limited. In Kutalimbaru Village, the main challenges identified are low monetary literacy, which results in physical damage to money and a lack of awareness about counterfeit money. Through the Real Work Lecture (KKN) program, community service efforts were carried out with the aim of internalizing the values of “Love, Pride, Understanding (CBP) of the Rupiah.” The approach used was community-based education through interactive workshops and practical demonstrations on money care techniques and an introduction to the security features of the Rupiah. Findings in the field show a transformation in the community's attitude; from being indifferent to being more careful in handling paper money and better understanding the role of the Rupiah in economic stability. This program has succeeded in increasing the financial literacy of citizens while strengthening the spirit of nationalism through appreciation of the national currency. Keywords: community empowerment, micro businesses, tempeh products, entrepreneurship, Sialaman Village.

This research is driven by the increasing strength of religion-based identity politics in Indonesia’s post-reform electoral democracy, which creates a dilemma between legitimate political competition and threats to interfaith harmony. The problem formulation of this study concerns how identity politics challenges religious harmony and to what extent harmony can serve as an instrument to reduce polarization and reinforce democratic consolidation. The research questions focus on two main aspects: (1) how the dynamics of harmony are tested by the exploitation of religious issues within electoral contests, and (2) how harmonization strategies can function as social capital in maintaining democratic stability. Using a qualitative approach with a juridical-normative and socio-political framework, this study relies on a literature review involving laws and regulations, court decisions, official state documents, and national and international academic works, combined with content analysis of religiously nuanced political narratives in media and public discourse. The findings indicate that harmony is not a natural social condition but a socio-political construction that is vulnerable to instrumentalization by electoral interests. FKUB and harmony-related regulations tend to remain normative and less effective in the absence of substantive justice. Nonetheless, harmony still holds potential as strategic capital for democracy if it is developed through a framework of justice, religious political literacy, and inclusive democratic governance.

This study explores emotional instability and its impact on happiness, focusing on Positive Psychology, Neurobiology, and Stoicism. It aims to identify factors influencing instability of happiness, including stress, social support, and neurobiological dynamics. The research seeks to develop effective strategies to enhance emotional stability and long-term well-being, contributing to theories and practices for fostering enduring happiness in individuals and society. This study employs a qualitative approach, combining in-depth interviews and document analysis to explore emotional instability and strategies for lasting happiness. Nine participants from psychology, neurobiology, and Stoicism fields share personal experiences through narrative analysis, identifying patterns in happiness fluctuations. A comprehensive literature review enhances findings, ensuring validity, credibility, and a holistic understanding of factors influencing emotional well-being.Research reveals happiness is multifaceted, influenced by psychology, neurobiology, and philosophy. Factors like stress, personality, and social support impact emotional stability. Positive psychology emphasizes gratitude, mindfulness, and cognitive restructuring. Stoicism focuses on self-control, acceptance, and living virtuously. Neurobiology highlights the role of brain chemistry and lifestyle factors like diet and exercise. By integrating these perspectives, individuals can cultivate resilience, manage emotions, and enhance overall well-being.This research examines emotional instability and its impact on happiness, combining insights from Positive Psychology, Neurobiology, and Stoicism. Key factors include stress, neurochemical imbalances, and social support. Strategies such as emotional regulation, mindfulness, and resilience-building enhance stability. The study highlights the integration of ancient wisdom and modern science to foster enduring happiness and improve overall well-being.

This study explores the influence of career factors and economic independence on the phenomenon of late marriage in early adult women (aged 25-35 years) in Indonesia, especially in urban areas of North Sumatra such as Medan. Adopting a mixed-methods design, the study involved a quantitative survey of 250 career female respondents (with age criteria above 25 years old, unmarried, and a minimum income of the city UMR) using the Likert scale to measure career priorities as well as the financial independence index, complemented by logistic regression analysis to test causal relationships. Semi-structural interviews with 20 key informants uncovered an in-depth narrative about the trade-offs between professional ambitions (such as job promotion and income stability) and traditional marriage expectations. Key findings show that women with a bachelor's degree and above and an income of 1.5 times UMR tend to postpone marriage until the average age of 31.4 years, driven by the desire to achieve economic independence (regression coefficient β=0.42, p<0.01) as well as the flexibility of living without partner dependence. However, moderator factors such as Batak or Malay cultural pressures in Medan create internal conflicts, with 68% of respondents reporting social stress from family. Theoretically, the results support role conflict theory in modern family dynamics, while implications include recommendations for work-life balance-based pre-marital counseling programs and corporate policies to support high-quality marriages. This research contributes to the Indonesian family relations literature by highlighting the paradigm shift from patriarchal norms towards gender equality.

This study aims to analyze the implementation of good governance principles in inclusive public services in Candisari District, Semarang City. The study used a descriptive qualitative approach with data collection techniques through questionnaires, interviews, and documentation. Research informants consisted of sub-district officials and community service users, including vulnerable groups. Data analysis was conducted through the stages of data reduction, data presentation, and conclusion drawing. The results of the study indicate that the implementation of good governance principles in Candisari District has begun, but has not been running optimally. The principle of transparency has been attempted through the provision of service information and the use of digital media, but accessibility of information for vulnerable groups is still limited. The principle of accountability has not been fully realized, as indicated by the less than optimal performance of the Women and Children Protection Task Force (Satgas PPA) in carrying out its duties and the less than optimal inclusive public complaint mechanism. From the aspect of participation, community involvement, especially vulnerable groups, in the planning and decision-making process is still limited and unstructured. In addition, legal certainty and regional security stability are relatively conducive, but still require institutional strengthening and synergy between stakeholders. This study concludes that the implementation of good governance in Candisari District still faces institutional, participation, and service accessibility constraints, so a strategy is needed to strengthen governance to realize inclusive and sustainable public services.

Landslides in the Giritengah Catchment Area are influenced by several factors, including geological conditions, rainfall intensity, geomorphology, soil characteristics, and inappropriate land use practices, all of which affect regional spatial planning and environmental stability. This study presents a literature review that analyzes landslide vulnerability, evaluates the impact of land use changes, and proposes integrated Soil and Water Conservation Techniques (SWCT) to support sustainable land management. The analysis applies Geographic Information System methods using thematic map overlays such as rainfall distribution, slope gradient, geological structure, and land use patterns. The results show that areas categorized as having high landslide vulnerability cover 44.02% or approximately 158.69 hectares of the catchment area, while areas with very low vulnerability account for only 0.12% or about 0.79 hectares. Land use conversion, particularly mixed dryland agriculture, has increased landslide risk by reducing slope stability and increasing surface runoff. To address this issue, conservation strategies are recommended, including vegetative measures such as greening 38.51 hectares in settlement areas and implementing agroforestry systems across 218.48 hectares. In addition, structural measures such as three dam retainers and twenty gully plugs are proposed in both protected and cultivation zones to support disaster mitigation and align with regional spatial planning policies.

Domestic violence (DV) remains a complex legal and social problem, threatening family stability and human dignity. Although Law No. 23 of 2004 concerning the Elimination of Domestic Violence provides strict sanctions, conventional punishment methods are often considered ineffective in restoring damaged social relationships within families. This study examines the implementation of restorative justice in resolving domestic violence cases within the Bungo Police jurisdiction, from the perspective of positive law and Islamic law. This study uses an empirical legal approach and a sociological perspective, with primary data collected through interviews with investigators from the Women and Children Protection Unit (PPA), as well as secondary data from laws, police regulations, and related academic literature. The results show that restorative justice has been applied to several domestic violence cases during the investigation stage through mediation and peace agreements between the parties involved. This method helps reduce the backlog of cases, accelerates dispute resolution, and maintains family social stability. However, challenges remain, such as the possibility of re-victimization due to the imbalance of power between victims and perpetrators. From an Islamic legal perspective, restorative justice is in line with the principles of ta'zīr and maqāṣid al-sharī'ah, especially the preservation of human dignity, life and offspring. By guaranteeing the protection of victims and preventing repeated violence, restorative justice can be an additional mechanism in cases of domestic violence.

The policy of increasing fuel prices is a strategic public policy that has broad implications for the lives of people in Indonesia. Fuel plays an important role in supporting economic activity, distribution of goods, and social mobility. This article aims to analyze the impact of the fuel price increase policy on public interests by emphasizing the current context in Indonesia and the empirical realities that arise in society. This study uses a qualitative approach through literature review and policy analysis. The results of the study show that the increase in fuel prices has a direct impact on the increase in the cost of living, a decline in people's purchasing power, and the emergence of social pressure, especially among low-income groups. Although the government views this policy as a rational step to maintain fiscal stability and the sustainability of energy subsidies, compensation and social protection policies remain key factors in ensuring that the public interest and the goal of community welfare are maintained.

Advances in information technology have driven the transformation of banking services towards digitalization through mobile banking. Bank Central Asia (BCA), one of the largest private banks in Indonesia, offers m-BCA services to facilitate quick, practical, and efficient customer transactions. However, issues such as delayed notifications, system disruptions, and login problems still exist. This study aims to evaluate m-BCA user satisfaction using the PIECES Framework, which consists of six dimensions: Performance, Information, Economy, Control and Security, Efficiency, and Service. A descriptive quantitative approach was used, with a questionnaire distributed to 105 active m-BCA users in South Jakarta. Data were analyzed using mean values to assess satisfaction levels for each dimension, and validity and reliability tests were conducted. The results showed average scores of 4.02 for Performance, 4.08 for Information, 4.08 for Economy, 4.18 for Control and Security, 4.20 for Efficiency, and 4.09 for Service. The overall score of 4.10 falls into the "Satisfied" category. The highest score was for Efficiency, indicating strong support for users’ banking activities, while the Performance dimension scored lower, suggesting room for improvement. Overall, users are satisfied with m-BCA, but system performance improvements are needed for service stability and sustained satisfaction.

The increasing integration of internet technology in educational institutions requires structured network governance to ensure that digital resources support academic activities effectively. Unrestricted access to online platforms often leads to non-academic usage such as online gaming and social media engagement during instructional hours, which may reduce learning concentration and degrade network performance. This research develops and evaluates a network access control simulation using a MikroTik RouterBoard RB951Ui-2HnD device. The system applies firewall filtering mechanisms, hotspot-based authentication, and bandwidth allocation strategies through Simple Queue configuration. Network segmentation is implemented to differentiate teacher and student access privileges. The study adopts a Research and Development (R&D) approach to design, configure, test, and evaluate the proposed system. Testing results indicate that the firewall configuration successfully restricts access to selected online games (Mobile Legends, Clash of Clans, Roblox) and social media platforms (YouTube, TikTok, Shopee, Instagram, Telegram). Furthermore, bandwidth management demonstrates effective traffic prioritization, ensuring more stable allocation for teacher accounts in accordance with configured maximum limits. The findings confirm that structured firewall and bandwidth policies can improve network discipline, enhance performance stability, and support a controlled digital learning environment in schools.

This study analyzes the effect of digital payment implementation (X1) and transaction security (X2) on SME development (Y) with financial stability as a mediating variable (Z) in SMEs in Sorong City. This study examines the effect of digital payment implementation and transaction security on SME development with financial stability as a mediating variable. The study was conducted on MSMEs in Sorong City, Eastern Indonesia, using an explanatory quantitative approach. The data were analyzed using Partial Least Squares-based Structural Equation Modeling (SEM-PLS). The results of the study prove that the implementation of digital payments and transaction security has a positive and significant effect on financial stability. Furthermore, financial stability was found to have a positive and significant effect on MSME development, while fully mediating the effect of transaction security and partially mediating the effect of digital payment implementation on MSME development. These findings contribute to an integrated conceptual model that combines the technology acceptance paradigm with financial management theory, and provide a strategic roadmap for policymakers and implementation guidelines for MSME actors.