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Low parental literacy regarding nutrition, parenting, and lack of utilization of Posyandu services as well as low father participation are among the factors contributing to the continued existence of malnutrition and stunting risks at the Flamboyan 3-4 Ulu Posyandu. This study aims to identify the root causes of low parental literacy, map its impact on the condition of toddlers, and evaluate two alternative policies to improve the quality of parenting education. This study uses a mixed method with a predominance of descriptive qualitative data. Data were collected through interviews, observations, questionnaires, and anthropometric data. Policy analysis was conducted using the six evaluation criteria of William Dunn (1999), namely effectiveness, efficiency, adequacy, fairness, responsiveness, and accuracy. The results of the study show that of the 13 children examined in August-September, there were 3 children whose weight and height were not appropriate for their age. The three main factors causing this problem were limited knowledge about nutrition and feeding, low understanding of child growth and development, and minimal use of posyandu services, including the involvement of fathers. The impact of this condition is evident in several toddlers with Z-scores for weight-for-age and height-for-age below the standard. Two policy alternatives were evaluated: the Healthy Family Room Program (RKS) and the 1000 HPK Home-to-Home Counseling Program. The evaluation results show that the RKS Program received the highest score with an average of 3.3, making it more feasible to implement because it is more effective, sufficiently efficient, and more responsive to family needs.

This study aims to analyze the effectiveness of the public services of the Sorong City Education Office for the community by examining the relationships among service effectiveness, community satisfaction, service accountability, and apparatus responsiveness. The research uses a mixed-methods approach: a quantitative component involving distributing questionnaires to 30 respondents, analyzed using descriptive statistics and correlation, and a qualitative component involving in-depth interviews with five main sources, analyzed using triangulation and thematic analysis. The results of the study show that the effectiveness of public services is in the good category, with a significant relationship between service effectiveness and community satisfaction, service accountability, and responsiveness of the apparatus. Apparatus responsiveness has the strongest relationship with service effectiveness, showing the importance of officer responsiveness in improving the quality of education services. The interview findings also show that education services have improved, though further progress is needed in service speed and information transparency. The study's findings confirm the relevance of public administration theory and service quality in explaining the performance of regional education services. The research is limited in the small number of respondents and its focus on a single agency. Therefore, further research is recommended to increase the sample size, involve several public service agencies, and use a more comprehensive analytical model.

The implementation of public communication ethics codes in governmental policies encounters complex challenges in achieving optimal transparency, accountability, and responsiveness standards. This qualitative research employs library research methodology to analyze the effectiveness of public communication ethics code implementation mechanisms through normative examination of official government communication practices. Systematic content analysis of regulations, policies, and communication practice documentation reveals significant disparities between normative idealities and operational realities in field implementation. Findings indicate structural, cultural, and technological factors serve as primary determinants of implementation success. The digital era and post-truth phenomena present additional complexities in managing ethical public communication. Technological adaptation inadequacies, institutional coordination fragmentation, and organizational commitment variations influence the consistency of communication ethics standard application. A comprehensive evaluation model integrating input-process-output-outcome dimensions is essential for measuring implementation effectiveness. Recommendations encompass institutional capacity strengthening, adaptive regulatory framework reformulation, and development of communicative accountability systems responsive to contemporary dynamics. This research contributes to developing theoretical frameworks for public communication ethics code implementation within Indonesian governmental governance contexts.

In Surabaya City, the City Government through the Transportation Agency developed the Suroboyo Bus and Trans Semanggi programs to address traffic congestion, limited public transportation, and the need for safe, comfortable, and environmentally friendly transportation. However, complaints are still found regarding limited facilities, irregular schedules, and suboptimal communication services, so that service performance evaluation is needed from the user's perspective. This study aims to analyze the performance of Suroboyo Bus and Trans Semanggi public transportation services at the Surabaya City Transportation Agency using five public service performance indicators according to Dwiyanto et al. (2021), namely productivity, service quality, responsiveness, responsibility, and accountability. The approach used is quantitative with the Importance Performance Analysis (IPA) method. The results of the study show an average expectation score (importance) of 4.18 and a reality score (performance) of 3.86 with an overall gap of -0.32, which means that the performance of Suroboyo Bus and Trans Semanggi services still does not meet public expectations. Through the IPA mapping, three attributes are in Quadrant I (high priority): the friendly and professional attitude of staff, the adequacy of on-board facilities, and the transparency of official information regarding schedules and service changes. A total of 13 attributes are in Quadrant II (maintained), 13 attributes in Quadrant III (low priority), and one attribute in Quadrant IV (excessive).

This study aims to evaluate the implementation of Sidoarjo Regent Regulation Number 69 of 2017 concerning the Civil Servant Code of Ethics in the Family Planning Sector at the Sidoarjo Regency Women's Empowerment, Child Protection, and Family Planning Office. A qualitative approach with a case study was used to explore the implementation of the policy through interviews, observation, and documentation. The analysis was conducted using William Dunn's six policy evaluation indicators, namely effectiveness, efficiency, adequacy, equity, responsiveness, and accuracy. The results show that the policy has provided clear behavioral guidelines and is applied evenly in the work environment. However, the effectiveness and efficiency of implementation are not optimal due to disciplinary violations, weak supervision, and unstructured communication between superiors. The aspects of adequacy and accuracy are considered relevant to the needs of the organization, but have not been able to fully overcome obstacles such as high workloads and low internalization of ethical values ​​among employees. In general, this policy contributes to shaping the professionalism of civil servants, but still requires strengthening through continuous supervision and more systematic coaching. The originality of the study lies in the use of Dunn's evaluation model in the context of the implementation of the civil servant code of ethics at the regional level, as well as identifying gaps between normative policies and field practices. These findings confirm that the success of a code of ethics depends heavily on organizational communication, work culture, and consistency of oversight.

The challenges of modernity, including the secularization of knowledge, the fragmentation of values, and the increasingly pragmatic and utilitarian orientation of education, require a fundamental renewal of Islamic educational philosophy. In practice, Islamic education is often confined to normative and textualistic approaches that emphasize the transmission of doctrinal knowledge, which limits its responsiveness to social dynamics, scientific developments, and contemporary needs. This condition weakens the critical capacity of Islamic education in shaping individuals who are faithful, rational, and morally integrated. Accordingly, this study aims to examine Islamic educational philosophy from the perspective of critical thought reconstruction as an effort to address the challenges of modernity without shifting the fundamental principles of faith that serve as its normative foundation. This study employs a theoretical research approach through library research, using qualitative analysis of academic books, peer-reviewed journal articles, and relevant scholarly works on Islamic educational philosophy and critical thought. The analysis focuses on the ontological, epistemological, and axiological dimensions of Islamic education within the framework of critical reconstruction. The findings indicate that the reconstruction of Islamic educational philosophy is both an epistemological and practical necessity in responding to modern challenges. This reconstruction is not directed toward the domain of ʿaqīdah, which is qaṭʿī and normative in nature, but rather toward renewing modes of thinking, operational value systems, and educational practices. Consequently, Islamic education should function not merely at a normative level but as an effective instrument for individual and social transformation.

This study aims to analyze and compare public administration systems in Indonesia and the United States, focusing on bureaucratic structure, decentralization mechanisms, and public service delivery. Using a qualitative approach through literature review, this research examines scholarly articles, policy documents, and relevant regulations published in recent years. The findings show that Indonesia adopts a hierarchical and relatively centralized bureaucratic structure within a decentralized unitary state framework, while the United States applies a federal system that grants constitutionally guaranteed autonomy to state governments. Decentralization in Indonesia emphasizes administrative and political authority transfer to local governments to improve service responsiveness, although challenges such as overlapping authority and uneven institutional capacity persist. In contrast, federalism in the United States enables flexible and innovative public service provision but also creates disparities among states. The study further reveals that public service effectiveness and responsiveness in both countries are influenced by bureaucratic capacity, coordination mechanisms, and digital governance implementation. This comparative analysis provides insights for policymakers to strengthen bureaucratic reform, improve intergovernmental coordination, and enhance public service quality in accordance with national governance contexts.

The acceleration of stunting reduction in Ponorogo Regency faces challenges regarding the complexity of the issue and regional fiscal constraints, necessitating strategic cross-sectoral collaboration. This study aims to evaluate the synergy of Bank BCA's Corporate Social Responsibility (CSR) program through the "Bakti BCA" scheme in supporting local government policies related to specific and sensitive nutrition interventions. This research employs a qualitative approach with a case study design. Data collection was conducted through in-depth interviews with key informants from Bank BCA Ponorogo management, Bappeda, the Health Office, and beneficiary families, complemented by participatory observation and a review of the Regional Action Plan (RAD) documents. Data analysis was performed interactively by integrating the Collaborative Governance framework from Ansell and Gash, William N. Dunn's six policy evaluation criteria, and Mark Moore's Public Value concept to analyze the dynamics of cooperation and program performance achievements. The results indicate that the established synergy meets the criteria of appropriateness and effectiveness, where CSR interventions successfully bridged the gap in sanitation services and nutritional fulfillment in stunting locus villages uncovered by the regional budget (APBD). This collaboration proved successful in creating public value in the form of improved physical health status of toddlers, regional budget efficiency, and high community responsiveness. It can be concluded that this strategic partnership effectively accelerates the achievement of stunting reduction targets through equitable resource distribution. This study recommends that private sector engagement be formally integrated from the development planning deliberation (Musrenbang) stage to ensure long-term impact sustainability.

Public service quality plays a crucial role in ensuring that social assistance is delivered effectively to vulnerable communities. This study aims to analyze the quality of public services in the distribution of social assistance by the Social Service Office of Kerinci Regency and to identify improvement efforts undertaken by the institution. This research employed a descriptive qualitative approach using observation, interviews, and documentation techniques. Informants consisted of Social Service officials, social facilitators, and beneficiary communities. Service quality analysis was conducted using the SERVQUAL dimensions: tangible, reliability, responsiveness, assurance, and empathy. The findings indicate that the social assistance distribution service in Kerinci Regency is generally adequate, particularly in the assurance and empathy dimensions. Beneficiaries feel that services are delivered fairly, transparently, and without discrimination. However, obstacles remain in the tangible, reliability, and responsiveness aspects, including limited service facilities, inaccurate beneficiary data due to incomplete DTKS updates, and delays in assistance distribution in remote areas caused by geographical constraints. To address these challenges, the Social Service Office has implemented periodic data validation, strengthened coordination with village administrations, and optimized digital-based social service information systems. This study provides empirical evidence that can serve as an evaluation reference for local governments in improving transparent, effective, and equitable social assistance services.

This research aims to evaluate the SQUAD Dewan (Suara Kita Untuk Demokrasi/Our Voice for Democracy) program implemented by the Secretariat of East Java Provincial Legislative Council (DPRD). The SQUAD Dewan program is an innovative initiative designed to enhance public participation in the legislative process and strengthen democratic practices at the provincial level. Using the CIPP (Context, Input, Process, Product) evaluation model developed by Stufflebeam, this study examines the program's effectiveness, efficiency, and sustainability. This qualitative research employs a descriptive approach, with data collected through in-depth interviews, focus group discussions, observation, and documentation at the Secretariat of the DPRD of East Java Province. Informants include program managers, legislative council members, public participants, and community representatives. The results indicate that the SQUAD Dewan program has successfully increased public engagement in legislative activities, with a 45% increase in public hearing participation and 60% growth in policy input submissions from 2022 to 2023. The program has effectively utilized digital platforms for broader outreach, reaching over 150,000 citizens through online forums and social media campaigns. However, challenges remain in terms of geographic coverage inequality, limited participation from rural communities, and the need for more sustainable funding mechanisms. This study recommends strengthening digital infrastructure in rural areas, developing capacity-building programs for community facilitators, establishing permanent funding allocations, and creating feedback mechanisms to enhance program responsiveness to public needs.

The E-Kinerja Program is a policy innovation developed by the Madiun City Government to support the digitalization of civil servant performance management as part of bureaucratic reform and the implementation of the Electronic-Based Government System (SPBE). This study aims to evaluate the implementation of the E-Kinerja Program in Madiun City using six policy evaluation criteria proposed by William N. Dunn, namely effectiveness, efficiency, adequacy, equity, responsiveness, and appropriateness. This research employs a qualitative descriptive approach, with data collected through interviews, direct observation of the E-Kinerja application usage, and documentation review of related policies. The findings indicate that the E-Kinerja Program is relatively effective and efficient in supporting the monitoring of civil servant attendance and daily activities through features such as QR Code-based attendance, photo documentation, and daily activity reporting. However, several challenges remain, including unstable GPS accuracy, limited internet connectivity, and the practice of non real time input of daily activities. In addition, differences in digital literacy levels and device compatibility among civil servants affect the equitable utilization of the application. Overall, the implementation of the E-Kinerja Program is considered appropriate as part of bureaucratic digital transformation in Madiun City, although further improvements in technical aspects and human resource capacity are required to optimize its implementation.

Public services at the sub-district level still face various obstacles, particularly limited human resources (HR), which impact the quality of services to the public. On the other hand, increasing public demands require sub-district governments to be more adaptive and responsive. This study aims to analyze the implementation of agile governance in improving the quality of public services under conditions of limited HR in Meteseh Sub-district, Semarang City. This study used a mixed methods approach with an explanatory sequential design. Quantitative data were collected through surveys of officials and service users, while qualitative data were obtained through in-depth interviews and institutional document reviews. Data analysis was conducted descriptively and thematically using triangulation techniques. The results indicate that limited HR impacts the speed and responsiveness of public services. However, good organizational adaptability and the partial application of agile governance principles can maintain the quality of public services in the good category. Work flexibility, internal collaboration, and digital adaptation are key supporting factors in mitigating the impact of limited HR. This study concludes that agile governance can be an effective alternative approach to improving the quality of public services at the sub-district level, especially under conditions of limited human resources.

This study investigates the adoption of adaptive DevOps practices in embedded systems used in safety-critical industrial applications. Traditional DevOps models, which are primarily designed for cloud-based systems, face significant challenges when applied to embedded platforms due to hardware constraints, real-time performance requirements, and stringent safety standards. The research focuses on developing a tailored DevOps framework that integrates continuous integration/continuous delivery (CI or CD) pipelines, automation, real-time monitoring, and safety assurance processes to enhance system reliability, performance, and compliance with regulatory standards. The study uses a case study methodology, involving embedded system teams across multiple industrial sectors, to assess the impact of these adapted DevOps practices on system stability and operational efficiency. Key findings show that the adoption of adaptive DevOps practices led to significant improvements in system reliability, performance, and deployment stability. Continuous feedback mechanisms allowed for early issue detection and faster resolution, leading to enhanced system uptime and responsiveness. Additionally, the integration of safety assurance into the DevOps pipeline ensured that safety-critical systems complied with required safety integrity levels and certification standards. The study further explores the integration of DevOps with embedded safety-critical systems, highlighting the benefits of cross-domain collaboration, enhanced communication, and the ability to address the unique challenges of these platforms. The research also underscores the limitations of conventional DevOps models in embedded systems and presents practical implications for the wider adoption of DevOps in safety-critical industrial applications. Future research is recommended to refine DevOps frameworks for embedded systems, integrating emerging technologies like the Industrial Internet of Things (IIoT) and Digital Twins to further optimize performance, security, and predictive maintenance.

Human–Robot Interaction (HRI) systems increasingly rely on data-driven approaches to interpret multimodal sensory inputs and support natural interaction. However, purely neural-based HRI models often suffer from limited interpretability and insufficient context-aware decision-making, which can reduce user trust and adaptability in dynamic interaction scenarios. To address these limitations, this study proposes a hybrid neural–symbolic HRI framework that integrates multimodal neural perception with explicit symbolic reasoning for adaptive and interpretable robot behavior. The proposed system combines deep neural networks for processing visual, speech, and gesture inputs with a rule-based symbolic reasoning layer that models interaction context, user states, and behavioral constraints. A loosely coupled integration strategy enables neural outputs to be transformed into symbolic representations, allowing logical inference to guide action selection while preserving perceptual accuracy. The framework was evaluated through controlled HRI experiments comparing a neural-only baseline with the proposed hybrid configuration across multiple interaction scenarios. Experimental results demonstrate that the hybrid neural–symbolic system significantly improves interaction accuracy, contextual responsiveness, and user satisfaction, while achieving substantial gains in interpretability. These findings indicate that symbolic reasoning effectively complements neural perception by enhancing transparency and context-aware adaptation without compromising performance. The study concludes that hybrid neural–symbolic architectures provide a promising foundation for developing trustworthy, adaptive, and human-centered HRI systems.

The food and beverage (FnB) industry is one of the main supporting sectors of tourism in Indonesia and has experienced rapid growth along with the increasing number of tourist activities and consumer demand. However, previous studies indicate that Service Quality in the FnB industry remains suboptimal, particularly in aspects related to human resources (HR). Issues such as inconsistent service performance, low responsiveness, and limited employee competence and work attitude are commonly identified. This study aims to systematically examine the role of human resources in Service Quality within the FnB industry and to identify key factors, management strategies, and existing research gaps. This research employed a Systematic Literature Review (SLR) method using the PICOC framework, analyzing 20 national and international journal articles published between 2015 - 2025 and retrieved from Google Scholar. The findings reveal that the most influential HR factors affecting Service Quality include competence, communication skills, work attitude, experience, and employee training. Furthermore, effective human resource management practices demonstrate a positive relationship with improved Service Quality. Nevertheless, the review identifies a lack of comprehensive studies integrating HR management and Service Quality within the specific Context of the Indonesian FnB industry, indicating opportunities for future research.

This study explores the integration of deep learning based approaches in real time video content analysis for intelligent human computer interaction (HCI) in multimedia systems. Traditional video analysis techniques, such as rule-based methods and offline processing, struggle with real time performance and adaptability to complex video data. In contrast, the deep learning model used in this research, particularly Convolutional Neural Networks (CNNs), provides high accuracy in object detection, feature extraction, and real time processing. The integration of CNNs with interactive visualization modules enables dynamic adjustments to video content based on user interactions, ensuring a seamless and engaging user experience. The system was benchmarked in terms of its processing speed, accuracy, and responsiveness, showing significant improvements over traditional approaches in real time video analysis. Moreover, the study demonstrates that combining deep learning with real time visualization enhances the efficiency of interactive multimedia applications, making it suitable for dynamic environments such as surveillance, security monitoring, and interactive media. Despite the system's strong performance, challenges such as computational demands in high-resolution video processing were identified, highlighting the need for further optimization. Future work will focus on optimizing the system for different hardware platforms, incorporating multimodal inputs, and refining deep learning models to address computational bottlenecks. This research contributes to advancing HCI by providing insights into the integration of deep learning for real time video content analysis, which is pivotal for enhancing the interactivity and adaptability of intelligent multimedia systems.

This study investigates the integration of high performance communication protocols with adaptive signal processing engines in multi-core systems, aiming to enhance scalability, throughput, and inter-core communication efficiency. The challenges inherent in traditional multi core architectures, such as communication overhead, latency, and scalability limitations, are addressed through the incorporation of Network-on-Chip (NoC) architectures and adaptive signal processing techniques. By using a multi-core digital signal processing (DSP) platform, the study evaluates the performance improvements achieved by this integration under varying workloads and core configurations. The experimental results show a 35% improvement in throughput and a 25% reduction in communication latency, highlighting the effectiveness of adaptive communication protocols in managing data traffic between cores and reducing bottlenecks. The integration of NoC architecture facilitates parallel data transfers, while adaptive signal processing engines ensure that data flows more efficiently across the cores, enhancing system responsiveness, especially under high data rate conditions. Furthermore, the study explores the scalability of the proposed system, demonstrating its ability to maintain high performance as core counts increase. The findings emphasize the potential of combining advanced communication protocols with adaptive signal processing for optimizing multi-core system performance. Practical implications of this research include the design of scalable, flexible, and efficient multi core architectures suitable for complex, data-intensive applications. Future research should focus on further refining communication protocols and exploring additional integration strategies to enhance the adaptability and scalability of multi-core systems in next-generation computing environments.

This study explores the integration of adaptive streaming models with edge computing to optimize multimedia delivery, particularly in real-time applications such as video conferencing, live streaming, and virtual reality. The proposed model leverages adaptive compression techniques, including scalable video coding (SVC) and hybrid adaptive compression (HAC), which adjust video quality based on real-time network conditions. The use of edge computing further enhances the model by processing and delivering content closer to the user, reducing latency and optimizing bandwidth usage. The research demonstrates that the edge computing-based adaptive streaming model significantly improves latency by up to 30%, reduces bandwidth consumption, and ensures higher visual quality during video playback, even under fluctuating network conditions. This model addresses key challenges in multimedia streaming, such as maintaining video quality in bandwidth-constrained environments and minimizing buffering times. Furthermore, it enhances the overall Quality of Experience (QoE) for users by providing smoother interactions and real-time responsiveness. The study highlights the potential impact of this model on various fields, including remote education, entertainment, and interactive applications, where low-latency content delivery and high-quality streaming are critical. The findings suggest that integrating AI algorithms for even more efficient compression and expanding edge computing infrastructures will further optimize multimedia streaming in the future, ensuring reliable and high-quality user experiences in increasingly connected environments.

Public transportation plays an important role in supporting community mobility and accelerating regional economic growth. To improve public transportation services in East Java, the East Java Provincial Transportation Agency introduced the Trans Jatim Bus system. However, its implementation still faces several challenges, including long bus arrival times, the use of mobile applications that are difficult for elderly users, and inconsistencies in the availability of supporting facilities such as seating and trash bins at bus stops. This study aims to analyze the quality of Trans Jatim Bus services based on the service quality dimensions proposed by Wirtz and Lovelock. The research employs a descriptive qualitative approach. Data were collected through interviews, observations, and documentation, and analyzed using stages of data collection, data reduction, data presentation, and conclusion drawing. The findings indicate that reliability has not met service standards due to prolonged waiting times. Responsiveness and assurance were found to meet service standards, as passengers expressed satisfaction with service responses and complaint handling. Empathy was considered adequate, although accessibility issues for elderly passengers remain. Tangible aspects were also sufficiently met, but inconsistencies were found in the provision of seating and trash bins at several bus stops. Based on these findings, the study recommends increasing the number of buses on corridor 2, evaluating bus schedules, conducting public awareness campaigns, and ensuring the consistent provision of seating and trash bins at all bus stops to improve overall service quality.

Recent advancements in environmental monitoring and robotic control demand systems that are capable of real-time responsiveness, energy efficiency, and reliable operation in dynamic and resource-constrained environments. Conventional cloud-centric cyber-physical system (CPS) architectures often suffer from high latency, continuous connectivity dependency, and increased energy consumption, limiting their suitability for time-critical monitoring and adaptive control applications. To address these challenges, this study proposes an intelligent embedded cyber-physical system integrating Edge AI, low-power sensor networks, and adaptive robotic control for environmental monitoring. The proposed architecture relocates data processing and decision-making closer to the data source, enabling real-time inference, reduced communication overhead, and enhanced system autonomy. The research adopts a design-oriented experimental methodology involving system architecture design, lightweight Edge AI model development, prototype implementation, and performance evaluation under realistic operating conditions. Experimental results demonstrate that the proposed edge-based CPS significantly reduces end-to-end latency and energy consumption while maintaining acceptable inference accuracy compared to cloud-based processing. Furthermore, the system achieves improved communication efficiency and higher operational reliability, particularly under intermittent network connectivity. The findings highlight that embedding intelligence at the edge enables closed-loop sensing, decision-making, and actuation, which is essential for adaptive robotic control in environmental monitoring scenarios. This study contributes a system-level perspective on Edge AI–enabled CPS design and provides empirical evidence supporting the transition from cloud-centric architectures toward distributed, energy-aware, and resilient cyber-physical systems for real-time monitoring and control applications.