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Urban poverty remains a complex development challenge in Indonesia, including in Jambi City. This study aims to examine the influence of education level and unemployment rate on the poverty level in Jambi City. A quantitative approach was employed using secondary cross-sectional data at the sub-district level for the year 2024 obtained from the Central Bureau of Statistics. The dependent variable is the poverty rate, while the independent variables consist of the open unemployment rate and education level, proxied by the percentage of the population with at least secondary education (senior high school or equivalent). Data were analyzed using multiple linear regression with the ordinary least squares (OLS) method. The results indicate that the unemployment rate has a positive and statistically significant effect on poverty in Jambi City. Meanwhile, the education variable shows a positive but statistically insignificant effect on poverty. These findings suggest that unemployment is a dominant factor influencing urban poverty, whereas improvements in education alone have not been sufficient to reduce poverty without adequate job creation. The study highlights the importance of integrating education policies with employment-oriented economic development strategies. The results are expected to provide empirical evidence to support local governments in formulating more effective and integrated poverty alleviation policies at the urban level.  

Interoperability has become a critical enabler of integrated service delivery in contemporary digital government. However, despite significant technological investments, many governments continue to experience fragmented service systems and limited public value outcomes. This study examines how institutional design shapes interoperability capacity and how interoperability contributes to public value creation within digital government frameworks. Employing a qualitative explanatory case study approach, data were collected through semi-structured interviews, document analysis, and institutional observations. The findings reveal that interoperability is not solely a technical function but an institutional capability embedded in governance structures, regulatory frameworks, data standards, and coordination mechanisms. While technical data exchange mechanisms exist, institutional fragmentation, regulatory ambiguity, and limited cross-agency collaboration constrain seamless integration. The study demonstrates that institutional design mediates the relationship between interoperability and public value creation by influencing the effectiveness of integrated service delivery. Public value gains are evident in operational efficiency and accessibility; however, improvements in legitimacy, trust, and service coherence remain incremental where institutional alignment is weak. The research contributes to digital governance literature by conceptualizing interoperability as an institutional construct and highlighting the necessity of governance reform for sustainable public value generation. The findings suggest that governments must prioritize institutional coherence, standardized data governance, and collaborative coordination frameworks to fully realize the transformative potential of digital government.

Background: Early Breastfeeding Initiation (IMD) is the practice of allowing newborns to breastfeed within the first hour after birth. This practice is not only beneficial for establishing mother-infant bonding but also plays a crucial role in stimulating uterine contractions through the release of oxytocin, which can accelerate uterine involution in postpartum mothers. Uterine involution is an important physiological process that prevents postpartum hemorrhage and supports maternal recovery. Despite the known benefits, not all mothers practice IMD immediately after delivery, which may affect the process of uterine involution. Objective: This study aimed to analyze the relationship between Early Breastfeeding Initiation (IMD) and the incidence of uterine involution in postpartum mothers at the Benao Community Health Center Work Area. Methods: A quantitative, observational study with a cross-sectional design was conducted involving 30 postpartum mothers selected through purposive sampling. Data were collected on IMD practices and uterine involution assessments. The Wilcoxon signed-rank test was used to analyze the relationship between IMD and uterine involution. Results: The study found a significant relationship between IMD and uterine involution (p = 0.000). Mothers who practiced IMD within the first hour postpartum showed a faster and more effective uterine involution process compared to those who did not. Conclusion: Early Breastfeeding Initiation (IMD) is significantly associated with the incidence and speed of uterine involution in postpartum mothers. Promoting IMD immediately after birth is essential for supporting maternal recovery and preventing postpartum complications

Language barriers represent one of the most significant obstacles to educational equity and access worldwide. This study investigates the application of Natural Language Processing (NLP) technologies in multilingual educational contexts to facilitate cross-linguistic learning and improve educational outcomes for linguistically diverse student populations. We implemented and evaluated a comprehensive NLP-powered multilingual learning platform across 47 educational institutions in 12 countries, serving 8,450 students speaking 23 different languages. Our experimental framework integrated machine translation, speech recognition, multilingual content generation, and adaptive language learning algorithms. Results demonstrate that NLP-enhanced multilingual education improved student comprehension by 43.6% (p<0.001), increased participation rates by 67.8%, and reduced achievement gaps between native and non-native speakers by 52.4%. Students using NLP-assisted learning tools achieved test scores averaging 78.3% compared to 54.7% for control groups. However, challenges persist regarding cultural context preservation, idiomatic expression handling, and equitable performance across language families. This research provides evidence that NLP technologies can effectively democratize education across linguistic boundaries while identifying critical areas requiring continued development.

The problems encountered are damage to the rubber wheel mount and universal/cross joints on the 90 m/hour capacity wood profile making machine, which can affect the uniformity and speed of wood profile making. Maintenance and repair planning aims to be able to create a maintenance and repair schedule for the 90 m/hour capacity wood profile making machine for the period 2026, estimate maintenance costs and the ratio of maintenance and repair costs to machine profits. The maintenance planning method includes collecting maintenance data from previous maintenance periods, reviewing the specifications of the wood profile making machine, estimating the age and price of components that are estimated to be damaged, estimating the cost and duration of dismantling and installing components that have been repaired in accordance with the provisions of the requirements for usable components or replacement spare parts, scheduling maintenance and repairs, estimating maintenance and repair costs for the period 2026, and determining the ratio of maintenance costs to profits. The planning results in the form of a maintenance-repair schedule for the period 2026; maintenance and repair costs in 2026, the ratio of maintenance costs to profits, and their implications indicate that the machine is still prospective and usable.

This research aims to analyze collaboration strategies in educational services and identify the challenges and implications of implementing collaborative governance at the District Education and Culture Regional Coordinator Office (Korwilcambidik) in Bener District, Purworejo Regency. The research method used is descriptive qualitative, with data collection techniques including interviews, observation, and document study. The research findings indicate that cross-sector collaboration between government, educational institutions, and the community serves as an adaptive strategy for improving the effectiveness of public services in the field of education. Although the collaboration has been successful, there are still obstacles such as the lack of a formal legal basis, low levels of trust between agencies, and differences in interests and limited resources. Factors such as collaborative leadership, open communication, and community participation play an important role in maintaining the sustainability of cross-sectoral cooperation. This research concludes that the implementation of collaborative governance in the education sector has the potential to become an effective, transparent, and sustainable model of government governance if supported by institutional commitment and a trust-based work culture.

Background: The rapid development of financial technology and the increasing volume of cross-border transactions have led to the emergence of increasingly complex digital financial crimes, involving anonymous actors and exploiting regulatory gaps and jurisdictional differences. This condition poses serious challenges to legal systems, particularly in terms of digital evidence, the attribution of legal liability, and the effectiveness of cross-border law enforcement. Objective: This study aims to reconstruct the framework of civil and criminal liability in digital fraud cases to make it more adaptive, integrated, and responsive to technological developments. Method: The research employs a qualitative socio-legal approach, combining normative analysis of cybercrime regulations, case studies of international digital fraud, comparative analysis of legal systems across countries, and interviews with legal practitioners and fintech regulators. Results: The findings reveal significant legal gaps, regulatory fragmentation across jurisdictions, and weaknesses in electronic evidence systems that hinder effective law enforcement. Additionally, the complexity of actors and technologies within digital ecosystems complicates the accurate attribution of legal responsibility. Therefore, an integrated legal framework is required, incorporating both civil and criminal liability, international regulatory harmonization, and the utilization of technology to enhance law enforcement effectiveness.

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.

This study applies the Mean Variance model, which aims to form an optimal portfolio composition in the health, property, and cyclical consumer sectors and combine the three sectors into one portfolio, then visualize its efficient frontier. This study analyzes the return profiles and compares the risks of each portfolio using alternative risk measures such as the Coefficient of Variation (CV), Value at Risk (VaR), and Conditional Value at Risk (CVaR). Daily closing price data for the three sectors listed on the Indonesia Stock Exchange (IDX) from March 2, 2020, to March 3, 2025, were used in this study. Stock selection was conducted using purposive sampling, followed by selecting seven stocks for optimization based on the lowest Coefficient of Variation (CV) value. Portfolio optimization analysis was conducted using the Python programming language with Visual Studio Code software. The findings of this study indicate that the combined portfolio incorporating the three sectors is the most efficient, with an expected return of 0.104%, standard deviation of 0.007, and alternative risk measures such as Coefficient of Variation (CV) 6.9328, Value at Risk (VaR) of -0.99%, and Conditional Value at Risk (CVaR) of -1.44%, which are lower than those of single-sector portfolios. Visualization of the efficient frontier curve confirms that the combined portfolio offers better results in terms of risk and return. The results of this study indicate that cross-sector diversification can significantly reduce risk and prevent significant losses.

The study describes the implementation of the Christian Religious Education teaching module with the theme Allah Creates Man to Manage in grade VI students of SD Negeri 1 Kereng Bangkirai. The qualitative descriptive approach applied direct observation, documentation of activities, and assessment of learning outcomes in the affective, cognitive, and psychomotor domains to the 11 students who attended. The teaching module is aligned with the Learning Outcomes of Phase C of the Independent Curriculum providing a directed learning structure from Genesis 2:8-15. The opening activities include greetings, prayers, praise, Bible readings, as well as students' experiential questions about nature to build a relationship between the material and everyday reality. Core activities utilize explanations, group discussions, presentations, and clipping projects with the theme of loving God's created nature that increase active participation, cooperation, and creativity of students. Assessments showed good results in all three learning domains despite constraints such as the discomfort of cross-gender discussions and the introverted nature of students; The role of teachers in creating a safe atmosphere strengthens the effectiveness of the process. Reflection confirms meaningful learning that shapes an attitude of gratitude, environmental concern, and Christian responsibility.

Syncope or fainting is a common clinical problem in children and adolescents, as many as 15% of children experience at least one episode before the end of adolescence. The purpose of this community service is to provide HIPOS (Hydration, Positioning, & Stress Management) Training with the 3E Method (Explain, Example, Experience) on Syncope First Aid Skills given to PMR Members at SMKN 1 Ngasem. The training was carried out for 2 days. The first day consisted of providing training to selected PMR cadres. On the 2nd day, PMR cadres provided training to all PMR members at SMKN 1 Ngasem and also evaluated their ability to perform syncope first aid. The results of the pre-test and post-test showed a significant increase in ability, namely during the pre-test almost all (76.7%) had sufficient ability and after the post-test almost all had good ability (83.3%). It can be concluded that HIPOS (Hydration, Positioning, & Stress Management) training using the 3E method (Explain, Example, Experience) can improve First Aid Skills for Syncope among Red Cross (Red Cross) members at SMKN 1 Ngasem.

The main objective of the Citizenship Education (PKn) course in higher education is to develop students into individuals with nationalist, participatory, and critical characters towards national dynamics. Conventional learning approaches that are still dominant in higher education, such as one-way lectures and memorization of materials, are considered less able to encourage active participation and the development of critical thinking patterns of students in the Citizenship Education (PKn) course. This study aims to identify the effectiveness of the application of innovative learning methods in improving students' activeness and critical thinking skills. Using a descriptive qualitative approach, data were collected through classroom observations, interviews with lecturers and students, and analysis of lecture documents from three study programs at Merdeka University of Malang. The results of the study showed that the application of learning strategies such as Project Based Learning, role playing, utilization of interactive multimedia, collaborative discussions, and nationality-based simulations were able to significantly increase students' participation and critical understanding. This method is relevant to the needs of learning in the era of globalization that demands digital literacy, cross-disciplinary collaboration, and contextual problem solving. Based on these findings, this study recommends the integration of innovative methods into the Civics curriculum in higher education, pedagogical training for lecturers, and the provision of technological infrastructure that supports the implementation of competency-based learning in the era of globalization.

International criminal law is a crucial instrument within the international legal system designed to address serious crimes that transcend national jurisdiction, such as genocide, war crimes, and crimes against humanity. International criminal law serves as a means to uphold justice, maintain international order, and prevent impunity for perpetrators of serious crimes that have a broad impact on the global community. This study aims to examine the enforcement of international criminal law in the modern era, emphasizing law enforcement mechanisms and the role of cooperation between states and international institutions. The research method used is normative juridical research, with an approach to relevant laws and regulations, legal doctrine, and court decisions. The results indicate that the effectiveness of international criminal law enforcement still faces various obstacles, primarily stemming from state political interests, weak commitment to international cooperation, and inconsistencies between legal norms and their implementation. The principle of complementarity is a fundamental element of this system, as it positions states as the primary actors in the prosecution process, while international judicial institutions play a complementary role if national mechanisms are ineffective. Furthermore, harmonization of national laws with international criminal law provisions and strengthening cross-border cooperation are determining factors in the success of law enforcement. This study concludes that synergy between states and international institutions, accompanied by strong political commitment, is a key prerequisite for the realization of a just and sustainable international criminal law enforcement system.

Background: In the domain of corporate governance, the separation of ownership and control generates significant agency conflicts, primarily manifesting as Earnings Management (EM). Traditional reactive auditing methods fail to detect manipulation concealed within unstructured data, leading to high agency costs and diminished stakeholder trust. Objective: This study proposes an "AI Proactive Monitoring Model" utilizing Generative Artificial Intelligence to fundamentally enhance the monitoring mechanisms of Agency Theory. Methods: The research employs a qualitative conceptual framework analysis. It synthesizes Agency Theory with the Technology Acceptance Model (TAM) and Systemic Risk Theory to construct a novel strategic governance model. Results: The proposed model shifts governance from periodic sampling to real-time, continuous analysis of total data populations. By cross-referencing structured financial data with unstructured communications (e.g., emails, contracts), the system generates "Risk Narratives" that contextualize anomalies and flag opportunistic behavior immediately. Conclusion: The integration of AI significantly reduces information asymmetry and moral hazard by creating a "panopticon" effect. However, successful implementation requires distinct regulatory frameworks to manage the systemic risks associated with algorithmic reliance.

Successful breastfeeding is a crucial factor in ensuring maternal and infant health, yet many postpartum mothers experience obstacles in optimally breastfeeding. One factor that plays a significant role in successful breastfeeding is family support and involvement. Families, particularly husbands and immediate family members, play a strategic role in providing the emotional, informational, and instrumental support mothers need during the postpartum period. This study aims to analyze the relationship between family roles and successful breastfeeding in postpartum mothers at TPMB Bdn. Neneng Banjarmasin. This study employed an observational analytical design with a cross-sectional approach. The sample consisted of 35 postpartum mothers with infants aged 0–6 months selected using purposive sampling. Data were collected using a structured questionnaire to measure family roles and successful breastfeeding, including aspects of early breastfeeding initiation, breastfeeding frequency, maternal comfort, and sustainability of breastfeeding practices. Data were analyzed univariately and bivariately using the Chi-square test with a significance level of p < 0.05. The results showed that most respondents received good family support and that the majority of postpartum mothers experienced successful breastfeeding. Bivariate analysis showed a significant relationship between family roles and breastfeeding success. In conclusion, family roles are significantly associated with breastfeeding success in postpartum mothers. This finding underscores the importance of a family-centered midwifery care approach in supporting breastfeeding success in community midwifery practice.

Background: Dietary adherence is a crucial component in the management of patients with chronic kidney disease (CKD) undergoing hemodialysis. Non-adherence may lead to metabolic imbalance, increased morbidity, and reduced quality of life.Objective: To identify factors associated with dietary non-adherence among patients with CKD undergoing hemodialysis at Imelda Hospital, Medan. Methods: A cross-sectional study was conducted among patients undergoing routine hemodialysis. Data were collected using structured questionnaires assessing knowledge, attitudes, and family support related to dietary adherence. Statistical analysis was performed using chi-square tests and logistic regression with a significance level of p < 0.05. Results: Knowledge, attitudes, and family support were significantly associated with dietary non-adherence (p < 0.05). Family support was identified as the most influential factor. Conclusion: Dietary non-adherence among hemodialysis patients is influenced by knowledge, attitudes, and family support. Strengthening patient education and family-centered nursing interventions is essential to improve dietary adherence.

Background: Sectio Caesarea (SC) surgery causes an incision wound in the abdomen, requiring a complex tissue healing process. Nutrition is a primary systemic factor supporting cell regeneration and new tissue formation through the intake of protein, vitamins, and minerals. However, many postpartum mothers still practice dietary restrictions due to misconceptions about the wound healing process. Objective: To determine the relationship between nutritional fulfillment and wound healing duration in post-SC patients at Prof. Dr. R.D. Kandou General Hospital, Manado. Methods:This quantitative research used an observational analytic design with a cross-sectional approach. The sample consisted of 20 postpartum mothers after SC, selected using purposive sampling technique. Research instruments included a questionnaire and an observation sheet. Data were analyzed using Fisher's Exact Test (α=0.05). Results: The majority of respondents (55%) had good nutritional fulfillment, and 60% of respondents experienced rapid wound healing. Statistical test results showed a p-value = 0.005 (p < 0.05), indicating a significant relationship between nutritional fulfillment and wound healing duration. Respondents with good nutrition had a rapid wound healing percentage of 90.9%, while respondents with poor nutrition had a slow wound healing percentage of 77.8%. Conclusion: Adequate nutritional fulfillment plays a crucial role in accelerating the wound healing process after Sectio Caesarea surgery.

This study aims to explore public perceptions of urban spatial planning policies in addressing the impacts of urbanization in Medan. Data were collected using a 15-item Likert-scale questionnaire and analyzed descriptively, using proxy factor analysis (PCA), and using cross-demographic difference tests. The initial sample size consisted of seven respondents. The results showed strong recognition of the impacts of urbanization, such as increasing land pressure, slums, and limited infrastructure. The majority of respondents also supported data-driven spatial planning to address these issues. However, there were doubts about the effectiveness of government land conversion controls, which were considered suboptimal. Nevertheless, these results demonstrate the importance of public participation in urban planning. The internal reliability of this study was relatively low, with a Cronbach's alpha value of -0.112, making the findings exploratory in nature. The researchers recommend that this study be conducted with a larger sample size and further testing to obtain more representative and valid results, as well as to delve deeper into public perceptions of urban spatial planning policies.

The maternal mortality rate in Indonesia remains high, reaching 305 per 100,000 live births in 2021, with one contributing factor being the lack of maternal knowledge regarding pregnancy danger signs. Prenatal classes are considered a strategic intervention to improve pregnant women’s understanding of critical warning signs such as bleeding, severe abdominal pain, and infection symptoms. This study aims to analyze the influence of pregnancy classes on pregnant women’s knowledge of danger signs. The research employed a quantitative design with a cross-sectional approach involving 30 pregnant women selected through purposive sampling at several community health centers. Data were collected using validated and reliable questionnaires, with measurements conducted before (pre-test) and after (post-test) participants attended at least three prenatal classes. Data analysis used descriptive statistics and the Wilcoxon Signed Rank Test with SPSS. The results showed that most respondents were aged 20–35 years (63.3%), had a high school education (36.7%), were housewives (60.0%), and multigravida (56.7%). Before the intervention, 50% had poor knowledge and only 20% had good knowledge. After attending prenatal classes, 63.3% achieved good knowledge, while only 10% remained in the poor category. The Wilcoxon test showed a significant difference (p = 0.000). Thus, prenatal classes effectively improve knowledge and support early detection of complications, potentially reducing maternal and infant mortality rates.

Long-acting contraceptive methods (LACMs/MKJP) are effective family planning options for controlling fertility and improving maternal health. However, the utilization of LACMs among women of reproductive age remains relatively low, which may be influenced by their level of knowledge. This study aimed to examine the relationship between women’s knowledge levels and the utilization of long-acting contraceptive methods in the working area of UPT Puskesmas Basarang. A quantitative study with a cross-sectional design was conducted involving 58 women of reproductive age selected using purposive sampling. Data were collected using a structured questionnaire to assess knowledge levels and contraceptive use, and analyzed using the Kendall’s tau-b correlation test. The results showed that more than half of respondents had good knowledge of LACMs, yet only 39.7% reported using these methods. Bivariate analysis revealed a statistically significant relationship between knowledge level and LACM utilization (p = 0.012). The study concludes that knowledge is significantly associated with the use of long-acting contraceptive methods, although other factors may also influence decision-making. Strengthening education and counseling interventions is essential to improve informed contraceptive choices and increase the utilization of long-acting contraceptive methods.