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The Rumah Padat Karya Program in Surabaya City is one of the local government policies to reduce poverty through job creation and empowerment of low-income communities (MBR). This study aims to evaluate the effectiveness of the Rumah Padat Karya Program in reducing poverty rates in Surabaya and to assess its alignment with the Sustainable Development Goals (SDGs), particularly Goal 1 (No Poverty), Goal 8 (Decent Work and Economic Growth), and Goal 11 (Sustainable Cities and Communities). The study employs a formal evaluation approach with a formative evaluation type, given that the program is still ongoing. Data were collected through interviews, observation, and documentation, and analyzed qualitatively. The evaluation was conducted using William N. Dunn’s (2003) criteria, comprising effectiveness, efficiency, adequacy, equity, responsiveness, and appropriateness. The results indicate that the program is fairly effective in reducing poverty and unemployment through local workforce absorption and the productive utilization of previously idle government assets. However, limitations remain, including budget constraints, inter-district facility disparities, weak inter-agency coordination, and suboptimal business mentoring and market access. Therefore, it is necessary to strengthen the mentoring system, equalize facilities, and enhance cross-sector collaboration so that the program can run more optimally and sustainably.  

Limited land availability is a major constraint in developing school infrastructure in active urban educational facilities. This study evaluates the classroom development plan at SDN 39 Lubuklinggau from the perspective of a planner, focusing on land limitation, functional needs, safety, constructability, and long-term building performance. A descriptive-evaluative approach was applied through technical observation, document review, alternative assessment, weighted scoring, and risk analysis. The results indicate that horizontal expansion is constrained by limited open space and may reduce internal circulation, student activity areas, and emergency space. Three alternatives were compared: horizontal expansion, building rearrangement, and a two-storey classroom scheme. The two-storey alternative obtained the highest score of 84, compared with 61 for rearrangement and 56 for horizontal expansion. However, its feasibility depends on further soil investigation, structural design, staircase and evacuation safety, utility coordination, construction phasing, and strict site safety control. The study recommends that the planner prioritize detailed site measurement, geotechnical investigation, detailed engineering design, construction safety planning, and post-construction functional evaluation. A vertical classroom strategy can be considered a rational solution for land-constrained schools when supported by accountable technical planning and integrated project control.

The Merdeka Curriculum introduces a paradigm shift in Indonesia's educational assessment system, moving from an outcome-oriented approach toward one that positions evaluation as an integral part of the learning process itself. This article examines how learning evaluation is implemented as an instrument to improve the quality of student learning within the Merdeka Curriculum framework. This study employs a library research method, analyzing relevant policy documents, regulations, and academic literature. The findings indicate that the Merdeka Curriculum shifts the focus of evaluation from mere measurement (assessment of learning) toward assessment as learning and assessment for learning, realized through three main forms of assessment: diagnostic, formative, and summative. Proper implementation of these three forms enables teachers to map students' individual learning needs, provide continuous feedback, and design differentiated instruction that is more relevant to learners' characteristics. However, field implementation still faces several challenges, including uneven teacher understanding, time constraints, and limited technical training in designing authentic assessment instruments. This article recommends strengthening teacher competence, providing practical technical guidance, and offering continuous mentoring as strategic steps to ensure that learning evaluation truly functions as an instrument for improving learning quality, rather than merely an administrative formality.

This study aims to analyze the implementation of the Government Employees with Work Agreements (PPPK) orientation program at the Jambi Province Human Resources Development Agency (BPSDM). The research focuses on George C. Edward III's 1980 policy implementation theory, which encompasses communication, resources, disposition, and bureaucratic structure. The research method used is descriptive qualitative. Data collection techniques were conducted through observation, interviews, and documentation, with informants determined using a purposive sampling technique. The results of the study indicate that the implementation of the PPPK Orientation Program has run quite well and has been able to improve participants' understanding of the duties, functions, and core values ​​of the State Civil Apparatus (ASN). However, several obstacles remain in its implementation, namely internet and electricity network constraints, the lack of effective online learning, lack of participant discipline during the activity, and limited supervision and number of committee members. These obstacles affect the optimization of the learning process and the effectiveness of the online orientation activities. Therefore, efforts are needed to improve the quality of program implementation through the development of more interactive learning methods, the provision of adequate facilities, and further evaluation and mentoring to improve the competence and professionalism of ASN.

Background: Schizophrenia is a serious chronic mental disorder that can affect thinking, perception, feelings, and behavior. Patients with undifferentiated schizophrenia are at risk of experiencing the nursing problem of risk of violent behavior (RPK) due to their inability to control emotions and anger. Based on data from the medical records of RSJD dr. Amino Gondohutomo, Central Java Province, from August to October 2025, the risk of violent behavior was the highest nursing diagnosis in the Gatotkaca Ward, reaching 56.5%–77% of all inpatients. Objective: To perform nursing care on Tn. K with the main problem of risk of violent behavior due to undifferentiated schizophrenia at RSJD dr. Amino Gondohutomo, Central Java Province. Methods: This study used a descriptive method with a nursing process approach. Data collection was carried out through interviews, observation, documentation studies, and literature review. Nursing care was provided from November 18 to 22, 2025. Results: Assessment findings on Tn. K (19 years old) with undifferentiated schizophrenia and a history of physical abuse, parental rejection, and family violence revealed four nursing problems: risk of violent behavior (core problem), sensory perceptual disorder: auditory and visual hallucinations, self-concept disorder: low self-esteem, and self-care deficit. Implementation was carried out through nursing strategies (SP) 1 to 4 for risk of violent behavior (physical, medication, verbal, and spiritual control), SP 1 and SP 3 for self-care deficit, and SP 1 to SP 2 for sensory perceptual disorder: hallucinations. All implementation stages were optimally achieved. Conclusion: Nursing evaluation showed that the client was able to achieve cognitive, affective, and psychomotor goals in all implemented SPs. Collaboration with ward nurses was carried out to continue SP 3 and SP 4 for hallucinations and the entire low self-esteem intervention due to time constraints.

Collaboration between classroom teachers and Islamic Religious Education (PAI) teachers constitutes an essential strategy for instilling religious moderation values in elementary schools. This study aims to: (1) describe the forms of collaboration developed between classroom teachers and PAI teachers; (2) assess the effectiveness of such collaboration in inculcating religious moderation values; (3) identify changes in students' attitudes as tangible outcomes of collaboration; and (4) analyze supporting and inhibiting factors of collaboration at SDN 3 Wanamekar. A descriptive qualitative approach was applied using field study methods. Data were gathered through in-depth interviews, participatory observation, and document review. Data analysis followed the interactive model of Miles, Huberman, and Saldana, encompassing data condensation, data display, and conclusion drawing. Data credibility was ensured through source triangulation and technique triangulation. Findings indicate that collaboration occurs in two primary forms: reactive collaboration as a spontaneous response to students' intolerant behavior, and planned collaboration involving curriculum coordination, partial co-teaching, and joint evaluation. Collaboration was assessed as sufficiently effective yet suboptimal due to time constraints and excessive administrative burdens. Positive changes in students' tolerance and inclusive attitudes were identified as concrete outcomes. Supporting factors include favorable interpersonal communication, principal support, and moderation value integration in the Merdeka Curriculum. Main inhibiting factors are time limitations, administrative burdens, shallow conceptual understanding of religious moderation, and the absence of a standardized collaboration model. The study recommends establishing structured collaboration schedules and religious moderation training programs for all teachers.

Package C equivalency education is a strategic non-formal education policy designed to provide senior secondary education access for citizens who are not served by the formal schooling system. This study evaluates the implementation of the Package C Equivalency Education Policy at the Non-Formal Education Unit Sanggar Kegiatan Belajar in Batudaa District, Gorontalo Regency, Indonesia. The study addresses the gap between the policy objective of expanding equitable access to secondary education and the practical constraints found in local implementation. Using a qualitative evaluative case study design, the research applies the Context, Input, Process, and Product evaluation model. Data were collected through in-depth interviews, observation, and document analysis involving program managers, tutors, learners, parents, alumni, and non-formal education supervisors. The findings show that the policy is contextually relevant to learners who face economic barriers, employment demands, age constraints, and limited access to formal schooling. However, input capacity remains insufficient due to limited tutor availability, inadequate andragogical competence, insufficient learning media, and learning modules that are not yet fully contextualized. The process dimension reveals inconsistent learning schedules, lecture-dominated instruction, weak adult-learning practices, and suboptimal monitoring. Product evaluation indicates positive outcomes in graduation, academic confidence, and access to administrative requirements for work or further study, but practical skills and socio-economic impacts remain limited. The study concludes that Package C policy implementation requires stronger socialization, tutor capacity development, contextual learning resources, flexible learning management, and local policy support to generate sustainable public value.

Batik motif classification has attracted growing attention in visual computing due to its role in cultural heritage preservation, textile informatics, museum documentation, and automated cataloging. Although many studies report high classification accuracy, robustness under real-world acquisition conditions remains insufficiently understood. Batik images are frequently affected by illumination variation, blur, folds, watermark overlays, wearable deformation, scale inconsistency, and background clutter, creating challenges that extend beyond conventional image-noise assumptions. Existing studies largely focus on improving classification performance, while the interactions among acquisition variability, feature representation, evaluation practice, and deployment constraints remain fragmented. This systematic literature review addresses this gap by synthesizing batik classification research through a robustness-aware perspective. Using query expansion, backward and forward citation chaining, relevance screening, and thematic coding, 116 candidate records were identified, resulting in 50 highly relevant studies for detailed analysis. The review reveals that robustness is shaped less by denoising alone than by the combined effects of acquisition conditions, representation design, evaluation realism, and deployment context. Handcrafted descriptors remain competitive for small datasets and structured motifs due to their data efficiency and interpretability, whereas deep learning models achieve the highest reported accuracy when supported by sufficient data diversity and realistic augmentation. Hybrid representations emerge as the most consistently balanced approach, combining local texture stability with higher-level abstraction across heterogeneous acquisition settings. The review further identifies recurring robustness failure patterns, including background dependency, illumination instability, motif-scale inconsistency, wearable deformation, and source-shift vulnerability. Based on these findings, a robustness-oriented research agenda is proposed, emphasizing cross-acquisition evaluation, representation-stability analysis, batik-specific robustness benchmarks, acquisition-aware augmentation, and deployable lightweight or hybrid architectures. The study contributes a domain-specific synthesis that reframes batik motif classification from an accuracy-centric task toward a robustness-aware visual recognition problem.

This study aims to evaluate the effectiveness of the e-monev application at the Jambi Province Public Works and Public Housing Agency (PUPR) and to identify the constraints encountered in its management. The research used a qualitative descriptive method with data collection through in-depth interviews, observation, and documentation involving seven informants directly engaged in the application's management and operation. The analysis framework adopts the e-government success element theory by Indrajit (2002), comprising three dimensions: Support, Capacity, and Value. The findings reveal that the Support dimension is already strong, marked by leadership commitment, annual socialization and training, clear policy directives, and effective inter-unit coordination. In the Capacity dimension, human resource competence is generally adequate; however, technical constraints such as network instability, system slowdowns during concurrent access, and dependency on external programmers remain significant challenges. The Value dimension confirms that the e-monev application provides positive contributions to reporting efficiency, real-time monitoring, and data-based decision-making. Nevertheless, the overall effectiveness has not yet reached the optimal level due to persistent technical and infrastructure constraints. This study is expected to serve as an empirical basis for improving the quality of digital monitoring and evaluation systems in regional government agencies.

The transition from paper-based to Computer-Based Test (CBT) in the Academic Potential Test (TPA) for state university entrance selections has significantly transformed the educational assessment landscape. This conceptual study aims to evaluate the instruments of CBT-based TPA, focusing on validity, reliability, fairness, and technological infrastructure constraints. Employing a systematic literature review approach, this research synthesizes various foundational theories of educational measurement, specifically Item Response Theory (IRT) and Computerized Adaptive Testing (CAT), alongside contemporary empirical findings from the last five years. The findings indicate that while CBT offers enhanced administrative efficiency and rapid grading, the validity of the instruments is frequently challenged by item exposure and the diverse digital literacy levels of test-takers. Furthermore, infrastructural disparities among regions pose a significant threat to testing fairness. The implication of this study suggests the urgent need for a dynamic item bank generation system and the implementation of adaptive testing to mitigate cheating and ensure equitable assessment. Future educational policies must bridge the digital divide before uniformly mandating CBT. Ultimately, this review provides a comprehensive framework for test developers to refine CBT TPA instruments, ensuring they genuinely measure academic potential rather than technological proficiency.

The rapid development of AI-assisted programming has encouraged the emergence of vibe coding, an approach to software development in which developers focus more on formulating intentions, contexts, and constraints through prompts rather than writing code manually. However, existing evaluations of AI-generated code still tend to emphasize functional correctness and productivity, and therefore have not fully addressed the relationship between user intent, technical code reliability, and developers’ understanding of the generated artifacts. This study aims to propose a new evaluation method called TD-VCEM (Three-Dimensional Vibe Coding Evaluation Method) to assess vibe coding practices in a more comprehensive and auditable manner. The proposed method consists of three primary dimensions: Intent Alignment to evaluate the conformity of code with prompt requirements, Code Reliability to assess the technical quality of the generated code, and Developer Cognition to measure developers’ understanding of AI-generated code. TD-VCEM is designed through several stages, including prompt decomposition, prompt-to-code traceability matrix, code reliability assessment, and developer cognition evaluation. Each dimension employs indicator-based scoring rubrics normalized on a scale of 0–100, enabling the construction of a Vibe Coding Evaluation Score (VCES). This study does not present empirical experimental results; instead, it offers a methodological framework that can serve as a foundation for evaluating AI-generated code in modern software engineering environments. The proposed TD-VCEM is expected to improve review process transparency, reduce security risks, strengthen software maintainability, and ensure that developers maintain control and understanding of AI-generated code artifacts.

In the education system, learning evaluation plays a fundamental role in measuring students' academic competency achievement. This study was designed to comprehensively examine the importance of high-quality learning instruments and the strategic role of assessment frameworks in ensuring the instrument's alignment with the formulated learning objectives. A qualitative, descriptive approach based on a literature review was used. The study's findings indicate that assessment frameworks serve as a framework or blueprint capable of validly and reliably mapping competencies, material coverage, and assessment weighting. Systematic implementation of assessment frameworks has been proven to increase the transparency and accountability of evaluations, while also supporting educators in integrating Islamic values ​​into the context of Islamic Religious Education (PAI). However, its implementation still faces obstacles, including limited teacher competency in developing Higher Order Thinking Skills (HOTS)-based questions, as well as constraints related to time and resource availability.

This study aims to analyze the role of the principal in evaluating the Qur’an reading program using the Batiq Izzati method at RA Al-Izzah in Serang City. The principal holds a strategic responsibility in ensuring the quality of education, including the implementation of religious programs that play a crucial role in shaping Islamic character in early childhood. The Batiq Izzati method is an internally developed approach by the Al-Izzah Foundation, designed to facilitate Qur’an reading through a gradual, enjoyable, and child-friendly method. This research employs a descriptive qualitative approach, using data collection techniques such as observation, interviews, and documentation. The findings indicate that the principal has fulfilled eight key leadership roles; however, the evaluation process is not yet optimal due to limited time and insufficient parental involvement. Evaluations are conducted daily by teachers and periodically by the principal to determine students' progress through different levels (jilid). Supporting factors include competent teachers, adequate facilities, and a structured evaluation system, while inhibiting factors involve time constraints and limited human resources. This study recommends strengthening the principal's role in continuous evaluation and fostering better collaboration between the school and parents to enhance the program's effectiveness. 

This study aims to analyze the optimization of regional expenditure in the education sector of Surabaya City for the 2025 fiscal year in supporting regional development. The research uses a descriptive qualitative approach through observation, interviews, and documentation studies conducted at the Surabaya City Education Office. Data were obtained from relevant stakeholders involved in education budget management and supported by official documents related to policies and the implementation of education programs. The results show that the management of education expenditure has been aligned with the Regional Medium-Term Development Plan (RPJMD) and applies the money follow program principle, which prioritizes programs based on community needs and development priorities. Programs such as Regional School Operational Assistance (BOPDA), educational assistance for students, school infrastructure development, and community-based learning innovations have contributed to expanding access to education, improving the equity of educational services, and reducing dropout rates. In addition, the use of monitoring systems, periodic evaluation, and the involvement of multiple stakeholders in supervision has strengthened transparency and accountability in budget management. However, several challenges remain, including limited implementation time, procurement constraints, and economic conditions such as inflation. Overall, education expenditure in Surabaya has been managed relatively well in terms of effectiveness, efficiency, and accountability while still requiring continuous improvement

Digital transformation in hospitals through the Digital Hospital concept (HIMSS EMRAM) aims to improve efficiency and reduce the potential for human error. RS Panti Abdi Dharma Cirebon has initiated the implementation of digital systems since 2015; however, several technical obstacles remain in its execution. Nurses, as the primary care providers, frequently face challenges in using electronic nursing documentation, which can negatively impact the quality of service and the continuity of patient care. This community service activity aims to enhance nurses' proficiency in using digital nursing documentation systems to support the improvement of healthcare quality and patient safety. The activity is conducted through three main steps: 1) Situational analysis and identification of technical constraints via questionnaires; 2) Technical training and coaching regarding the standardized structure of electronic nursing care documentation; 3) Evaluation of results by comparing the results/values of digital document completeness observations. Through this activity, a significant increase in nurses' knowledge and skills in operating the hospital information system is expected. It is also anticipated that there will be an improvement in the completeness of nursing care documentation, thereby minimizing medical risks and strengthening RS Panti Abdi Dharma's position towards national accreditation standards.

This research aims to analyze the capacity building of government personnel in implementing the Electronic-Based Government System (SPBE) at the Department of Communication and Informatics of Gresik Regency, which plays a strategic role in digital governance. This study uses a qualitative approach focusing on capacity development strategies and constraints at individual and organizational levels. The findings show that capacity building is carried out through two main strategies: human resource development and organizational strengthening. In human resource development, the establishment and training of an internal assessor team serve as key instruments in supporting SPBE implementation. This team represents institutionalized capacity, enabling the organization to independently conduct monitoring, evaluation, and quality assurance processes in a sustainable manner. This approach reflects a long-term strategy to strengthen institutional independence and reduce reliance on external parties. In organizational strengthening, capacity building focuses on optimizing organizational structure, work systems, coordination mechanisms, and regulatory support, including standard operating procedures. However, several constraints were identified. At the individual level, there is an imbalance in technical competencies, especially in information technology skills. At the organizational level, the lack of optimal follow-up after training highlights the need for more integrated human resource planning. These findings indicate that capacity building in SPBE implementation requires a systemic, well-planned, and sustainable approach to achieve effective, adaptive, and responsive digital government governance in the public sector.

Many senior high school students face significant difficulties in generating ideas, organizing thoughts, and selecting appropriate vocabulary when writing descriptive texts. Traditional teaching methods often limit creativity, making the integration of visual media crucial. Therefore, this study aims to develop creative poster-based learning module for teaching descriptive writing. A Research and Development (R&D) design was employed, adapting the ADDIE (Analysis, Design, Development, Implementation, Evaluation) model. However, due to time constraints, this research is strictly limited to the Analysis (Needs Analysis) and the initial Development (Prototype Development) stages. The participants for the needs analysis consisted of 22 senior high school students in Indonesia, selected through purposive sampling. Data were collected using an online needs analysis questionnaire. The findings indicate a strong student preference for visual support, which informed the design and creation of a poster-based learning module prototype intended to help students visualize concepts. The implications suggest that while the prototype aligns with student needs, further research is required to validate and test the product.

Community service at the Visi Iy Nike production unit was carried out using a descriptive qualitative and participatory approach to understand real conditions and challenges in the field. The activities began with direct observation of the production process to map workflows, identify operational obstacles, and evaluate the efficiency of resources, including labor, machinery, and production time. In addition, in-depth interviews and group discussions were conducted to collect information regarding production constraints and strategies applied by the operators. The data were analyzed descriptively to identify gaps between production targets and actual outcomes. Based on these findings, several interventions were implemented, including operator skill training, assistance in production planning, and the application of simple lean manufacturing principles to reduce waste and improve efficiency. The results showed that the average production efficiency reached 77%, supported by skilled operators, adequate raw materials, and flexible management practices. Routine documentation and systematic recording of production targets also contributed to better monitoring, evaluation, and faster decision-making processes.

Pneumonia remains a leading cause of morbidity and mortality worldwide, particularly in resource-limited settings and among elderly populations, where timely diagnosis and continuous monitoring are often constrained by limited clinical infrastructure. This study presents an edge–cloud–integrated framework for early pneumonia risk monitoring, leveraging multimodal wearable sensors and deep learning to support continuous short-duration monitoring. The proposed system is designed to operate in near real time under simulated deployment conditions, continuously acquiring and analyzing physiological signals (respiratory rate, heart rate, SpO₂, and body temperature) alongside event-driven acoustic biomarkers (cough sounds) within a distributed architecture. A lightweight edge module performs local signal preprocessing and anomaly triage, selectively transmitting salient information to a cloud-based multimodal deep learning model for refined risk estimation and interpretability analysis. The framework was evaluated using a multi-source dataset comprising public repositories (MIMIC-III and Coswara) and a clinically supervised wearable study conducted in two Nigerian hospitals, resulting in 718  hours of quality-controlled multimodal monitoring data. In a pooled multi-source evaluation, the system achieved an AUC of 0.95, while in a clinically realistic local-only evaluation, the AUC was 0.86, reflecting a consistent but preliminary diagnostic signal. These results highlight the importance of local data adaptation for real-world applicability and suggest that multimodal AI can provide meaningful early risk indicators under resource constraints. Beyond predictive performance, this work demonstrates the feasibility of integrating multimodal learning, edge–cloud computation, and explainable analytics into a deployment-aware, privacy-preserving monitoring framework for low-resource healthcare environments.

Fully Homomorphic Encryption (FHE) enables computation on encrypted data with end-to-end confidentiality; however, its practical adoption remains limited by substantial computational costs, including long encryption and decryption times, high memory consumption, and operational latency. Zero-Knowledge Proofs (ZKPs) complement FHE by enabling correctness verification without revealing sensitive information, although they do not support encrypted computation independently. This study integrates both techniques to enable encrypted computation with verifiably consistent results. A prototype system is implemented in Python using Microsoft SEAL for homomorphic encryption and PySNARK for Zero-Knowledge Proof verification. Experiments are conducted on standard consumer-grade hardware (Intel i5, 8 GB RAM, Ubuntu 22.04) using datasets ranging from 100 MB to 1 GB. The evaluation focuses on encryption and decryption time, homomorphic computation latency, memory usage, and proof generation overhead. Experimental results show that integrating ZKPs introduces a moderate and stable runtime overhead of approximately 15–20%, as analyzed in Section 4, while enabling verification without plaintext disclosure. Ciphertext expansion remains a notable limitation, with observed growth of approximately 30–40× relative to plaintext size, consistent with prior FHE implementations. Despite these overheads, the system demonstrates feasible scalability for datasets up to 1 GB on mid-level hardware. Overall, the results indicate that the integrated FHE+ZKP approach provides a practical balance between confidentiality, verifiability, and performance, supporting its applicability to privacy-preserving scenarios such as secure cloud computation, encrypted data analytics, and confidential data processing under realistic resource constraints.