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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.  

The implementation of healthy and safe school standards is a strategic effort to create a learning environment that supports the health and safety of elementary school students. This study aims to evaluate the implementation of healthy and safe school standards at SDN 6 Kendari, which is characterized by its proximity to a market and a main road. The study employed a qualitative approach using a case study design, involving field observations, the completion of a healthy and safe school indicator questionnaire, and interviews with educators. The results indicate that SDN 6 Kendari has met most of the healthy school indicators, evidenced by well-maintained buildings, adequate ventilation and lighting, proper sanitation and waste management, and students’ consistent practice of clean and healthy living behaviors. Regarding the safe school aspect, the school’s social environment is relatively conducive and free from risky behaviors, supported by the availability of a monitoring system and collaboration with relevant parties. However, several areas still require improvement, such as the equitable distribution of handwashing facilities, more strategic placement of portable fire extinguishers, and strengthening traffic risk mitigation measures due to the school’s location. Overall, the implementation of healthy and safe school standards at SDN 6 Kendari has been proceeding well, but requires continuous improvement to achieve optimal compliance with the standards.

The Free Nutritious Meal Program (MBG) is a national priority program aimed at improving students’ nutritional status as part of efforts to enhance the quality of human resources. The success of this program is determined not only by nutritional fulfillment but also by the quality of governance in its implementation. This study aims to analyze the application of Good Governance principles in the Free Nutritious Meal Program at SMP Negeri 13 Surabaya. A qualitative method with a case study approach was employed. Data were collected through observation, interviews, documentation, and document analysis involving students, parents, teachers, and personnel from the Jemur Wonosari 1 Nutrition Program Service Unit (SPPG). Data were analyzed using the Miles and Huberman interactive model, consisting of data condensation, data display, and conclusion drawing. The findings indicate that the implementation of the Free Nutritious Meal Program has reflected most Good Governance principles, particularly in terms of regulatory compliance, equitable service access, implementation effectiveness, and stakeholder coordination. However, improvements are still needed in beneficiary participation, information transparency, evaluation mechanisms, and program feedback systems. These findings provide important implications for strengthening the governance of the Free Nutritious Meal Program to become more participatory, transparent, accountable, and sustainable.

Project-Based Learning (PjBL) is a learning method that emphasizes students' active involvement in completing real-world projects relevant to nursing education. Evaluating the implementation of PjBL is essential to assess its application at the Faculty of Nursing, Universitas Riau. This study aimed to analyze the implementation of the PjBL method among nursing students at Universitas Riau. The study employed a descriptive evaluative quantitative design with a cross-sectional approach. A total of 123 fourth-semester students were selected using a purposive sampling technique. The research instrument was a closed-ended questionnaire consisting of 25 Likert-scale items that had been validated through expert judgment and demonstrated good reliability with a Cronbach’s alpha coefficient of 0.80. The instrument covered the dimensions of project planning, collaboration and communication, motivation and creativity, critical thinking and independence, understanding and application of learning materials, interest and satisfaction, as well as lecturer assessment and feedback. Data were analyzed using univariate analysis with frequency and percentage distributions. Most respondents were 20 years old (55.3%), female (87.0%), and had a Semester Grade Point Average (SGPA) and Cumulative Grade Point Average (CGPA) above 3.50. The implementation of PjBL was categorized as high (63.4%), moderate (35.8%), and low (0.8%). Overall, the implementation of PjBL was considered optimal and effectively supported students’ active engagement, collaboration, and understanding of learning materials.

Project-Based Learning (PjBL) is a learning method that emphasizes students' active involvement in completing real-world projects relevant to nursing education. Evaluating the implementation of PjBL is essential to assess its application at the Faculty of Nursing, Universitas Riau. This study aimed to analyze the implementation of the PjBL method among nursing students at Universitas Riau. The study employed a descriptive evaluative quantitative design with a cross-sectional approach. A total of 123 fourth-semester students were selected using a purposive sampling technique. The research instrument was a closed-ended questionnaire consisting of 25 Likert-scale items that had been validated through expert judgment and demonstrated good reliability with a Cronbach’s alpha coefficient of 0.80. The instrument covered the dimensions of project planning, collaboration and communication, motivation and creativity, critical thinking and independence, understanding and application of learning materials, interest and satisfaction, as well as lecturer assessment and feedback. Data were analyzed using univariate analysis with frequency and percentage distributions. Most respondents were 20 years old (55.3%), female (87.0%), and had a Semester Grade Point Average (SGPA) and Cumulative Grade Point Average (CGPA) above 3.50. The implementation of PjBL was categorized as high (63.4%), moderate (35.8%), and low (0.8%). Overall, the implementation of PjBL was considered optimal and effectively supported students’ active engagement, collaboration, and understanding of learning materials.

This study aims to analyze the influence of digital experience and customer experience on passenger loyalty on the Progo Train route, Pasar Senen–Lempuyangan. The increasing digitalization of public transportation services through the Access by KAI application has highlighted the importance of examining the quality of digital experience and customer experience in maintaining passenger loyalty. The study employed a quantitative approach with a causal associative design. Data were collected from 150 respondents through a questionnaire with a five-point Likert scale using a purposive sampling technique. Data analysis was performed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4 software (Ringle et al., 2024). The results of the outer model evaluation showed that all indicators had outer loadings > 0.70, Average Variance Extracted (AVE) > 0.50, Composite Reliability (CR) and Cronbach's alpha > 0.70, thus all constructs were declared valid and reliable. The inner model test shows that digital experience has a positive and significant effect on passenger loyalty (β = 0.192; T = 2.237; p = 0.025). Customer experience also has a positive and significant effect on passenger loyalty (β = 0.243; T = 3.268; p = 0.001). The coefficient of determination (R²) of 0.133 indicates that both variables explain 13.3% of the variance in passenger loyalty. The customer experience variable has a more dominant influence than digital experience on Progo Train passenger loyalty.

Mangrove forests are high-value coastal ecosystems that have the potential to be developed as sustainable ecotourism destinations. This study aims to analyze the development of Mangrove Forest Tourism in Kampung Kayu Ara Permai, Sungai Apit District, Siak Regency based on the three pillars of sustainable tourism of the World Tourism Organization (UNWTO), namely environmental, economic, and socio-cultural sustainability. The method used is a descriptive qualitative approach through literature studies and semi-structured interviews with regional managers. The results of the study show that this area has a good mangrove ecosystem with nine species and an average Tourism Suitability Index (IKW) of 76.89% (Suitable/S2 category). From an economic perspective, eight non-timber forest products (NTFPs) downstream products and community-based homestay models have created an equitable distribution of benefits for residents. The socio-cultural dimension is supported by the authenticity of the coastal Malay tradition that is still preserved. However, the three dimensions face challenges in the form of the absence of protection regulations, the absence of a government fixed budget, and low public participation in management evaluation. This study recommends the issuance of regional regulations, the establishment of tourism BUMDes, and the strengthening of community participation as the foundation for sustainable ecotourism development.  

Radiological examination is a diagnostic supporting procedure aimed at visualizing the internal structures of the human body to assist in establishing a diagnosis. One of the examinations performed is the Acromioclavicular Joint examination, which is used to identify abnormalities of the acromioclavicular joint. This study aims to compare the imaging results of the Acromioclavicular Joint using the anteroposterior (AP) projection with a 3 kg weight and the AP projection without a weight. The study was conducted at the Radiology Laboratory of STIKES Boneo Nusantara, Diploma III Radiology Study Program, using a conventional radiography unit and a quantitative descriptive method with a case study approach. Data were collected through observation and questionnaires. The results showed that the examination using a 3 kg weight produced clearer Acromioclavicular Joint images than the examination performed without a weight. The difference was reflected in the improved visualization of the anatomical structures, thereby facilitating a more accurate assessment of the joint. This study concludes that the use of a 3 kg weight in the AP projection provides superior imaging results by enhancing the visualization of the anatomy of the shoulder joint, thereby potentially improving the accuracy of the radiological evaluation of the Acromioclavicular Joint.

Radiological examination is a diagnostic supporting procedure aimed at visualizing the internal structures of the human body to assist in establishing a diagnosis. One of the examinations performed is the Acromioclavicular Joint examination, which is used to identify abnormalities of the acromioclavicular joint. This study aims to compare the imaging results of the Acromioclavicular Joint using the anteroposterior (AP) projection with a 3 kg weight and the AP projection without a weight. The study was conducted at the Radiology Laboratory of STIKES Boneo Nusantara, Diploma III Radiology Study Program, using a conventional radiography unit and a quantitative descriptive method with a case study approach. Data were collected through observation and questionnaires. The results showed that the examination using a 3 kg weight produced clearer Acromioclavicular Joint images than the examination performed without a weight. The difference was reflected in the improved visualization of the anatomical structures, thereby facilitating a more accurate assessment of the joint. This study concludes that the use of a 3 kg weight in the AP projection provides superior imaging results by enhancing the visualization of the anatomy of the shoulder joint, thereby potentially improving the accuracy of the radiological evaluation of the Acromioclavicular Joint.

This study aims to analyze the management of young preacher (dai cilik) training in developing students’ preaching skills at SD IT Al-Washliyah Kelambir Lima Medan using a management function approach (*planning, organizing, actuating, and controlling*). This study employed a descriptive qualitative method, with data collected through in-depth interviews, participant observation, and documentation. The research informants consisted of the principal and teachers responsible for the young preacher training program. The collected data were analyzed systematically to describe the implementation of management functions in the young preacher training activities and their contribution to the development of students’ preaching skills. The results showed that planning was carried out through the development of a practice-based preaching curriculum, organizing was implemented through task allocation and regular scheduling, implementation focused on *public speaking* practice, sermon material preparation, and moral development, while evaluation was conducted periodically through student performance assessments. The implementation of this systematic training management contributed to the improvement of students’ preaching skills in cognitive, affective, and psychomotor aspects. These findings indicate that management functions applied in a structured manner play a strategic role in supporting the development of students’ preaching competencies at the elementary school level. Furthermore, continuous training provides opportunities for students to enhance their self-confidence, communication skills, and readiness to effectively deliver Islamic preaching messages

Educational evaluation is an essential part of the learning process, serving to measure the achievement of educational goals and to continuously improve the quality of learning. This study aims to analyze educational evaluation theory in learning, including the basic concepts of evaluation, evaluation models and approaches, and their relevance to 21st-century learning. The study employed a qualitative approach with the Systematic Literature Review (SLR) method through a review of various reputable international journals published between 2020 and 2025. Research data was obtained from various scientific sources such as Scopus, ScienceDirect, Springer, Taylor & Francis, and Sage Journals. The results show that educational evaluation theory is evolving from outcome-oriented evaluation to a more holistic, authentic, and competency-based evaluation. Evaluation models such as Goal-Oriented Evaluation, formative and summative evaluation, the CIPP model, authentic assessment, and diagnostic assessment play an important role in supporting modern learning. In addition, the integration of digital technology in learning evaluation provides opportunities to create a more adaptive and contextual assessment system.

Joint pain is one of the most common health problems among older adults and may reduce mobility and quality of life. Community self-survey data in Cepoko Village indicated that 55% of residents, particularly older adults, experienced joint pain complaints. One non-pharmacological intervention that can be applied is warm lemongrass foot soaking therapy known as SEHATI (Serai Hangat untuk Kaki). This community service activity aimed to improve elderly knowledge regarding self-management of joint pain and demonstrate warm lemongrass foot soaking therapy as a complementary treatment. The methods included health education, demonstration of warm lemongrass preparation, direct practice by participants, and evaluation through discussion and question-answer sessions. The participants were elderly individuals experiencing joint pain in Cepoko Village, Panekan District, Magetan Regency. The results showed that participants actively engaged in all activities, were able to explain the preparation steps of SEHATI, and understood the benefits of warm lemongrass foot soaking therapy for reducing joint pain. This program provides an easy, affordable, safe, and home-based complementary therapy alternative for elderly people.

Digital literacy is an essential competency that secondary school students must possess to face the rapid development of technology in the digital era. However, many students still lack adequate understanding of basic information technology concepts, digital security, and the responsible use of technology. This community service activity aimed to improve students' digital literacy through a basic information technology introduction program. The methods employed included preliminary observation, pre-test administration, educational sessions, hands-on practice, discussions, and evaluation through post-tests. The training materials covered computer hardware and software fundamentals, effective internet usage, digital security, and ethical behavior in digital environments. The results indicated a significant improvement in students’ knowledge and digital skills after participating in the program. Students became more capable of accessing, evaluating, and utilizing digital information critically while understanding the importance of cybersecurity and ethical technology use. Furthermore, the high level of participant engagement demonstrated that the program was relevant to students’ needs in today's digital society. Therefore, the basic information technology introduction program proved effective in enhancing digital literacy among secondary school students and can serve as a strategic initiative to prepare young generations to adapt to technological advancements and future digital challenges. Community Service, Digital Education, Digital Literacy, Information Technology, Secondary School

The development of digital services by BPJS Ketenagakerjaan through the JMO (Jamsostek Mobile) application has triggered a surge in large-scale and unstructured user reviews on the Google Play Store, thereby complicating manual analysis and conventional sentiment analysis in accurately identifying specific issues. This research aims to implement the Aspect-Based Sentiment Analysis (ABSA) method to granularly evaluate JMO application reviews based on specific aspects, while simultaneously addressing class imbalance and computational efficiency issues. The proposed method combines the pretrained IndoBERT model as a contextual feature extractor, the SMOTE technique to balance the training data, and an artificial neural network (Neural Network) as the classification layer without performing full fine-tuning. The dataset used consists of 90,268 unique reviews categorized into five main aspects through keyword matching, namely General Satisfaction/Complaints, Performance & Stability, Service & Support, Feature Quality, and UI/UX, with initial lexicon-based labeling using the InSet Lexicon. The research results indicate that the proposed model successfully achieves highly optimal performance with an accuracy rate of 91.81% and a weighted F1-score of 92%. Furthermore, the implementation of SMOTE proved effective in enhancing model reliability on the minority class (negative sentiment), achieving an F1-score of 89%. The implications of this research contribute an accurate and efficient aspect-based sentiment analysis framework for developers, and serve as a strategic evaluation tool for BPJS Ketenagakerjaan in mapping specific user complaints to accelerate continuous improvements in the performance, stability, and service quality of the JMO application.

Evacuation planning in spatial networks requires the identification of critical nodes that maintain connectivity, accessibility, and flow distribution during emergency situations. Existing approaches often rely on individual centrality measures, which capture only a single structural dimension of node importance and may therefore produce incomplete or biased prioritization. To address this limitation, this study proposes a Composite Centrality Framework for identifying critical nodes in meso-scale spatial networks with semi-structured connectivity. The network is modeled as a weighted undirected graph, and Degree, Betweenness, and Closeness Centrality are integrated into a unified composite index to capture complementary structural roles. The framework is implemented in MATLAB and evaluated using a real-world campus spatial network consisting of 30 nodes and a synthetic network comprising 16 nodes with comparable structural characteristics. The results reveal a highly uneven distribution of node importance, with a small set of structurally dominant nodes consistently identified across both networks. In the campus network, node P1 achieves the highest composite centrality score (0.2195) and ranks first across the individual centrality measures, indicating its dominant role in maintaining network connectivity, accessibility, and flow distribution. Quantitative evaluation demonstrates strong agreement between the composite ranking and the individual measures, with Spearman rank correlation coefficients of 0.94, 0.89, and 0.91 for Degree, Betweenness, and Closeness Centrality, respectively. However, only one node (P1) appears simultaneously in the top five of all rankings, highlighting the complementary nature of the individual centrality measures and supporting the need for multi-criteria integration. Sensitivity analysis across three weighting scenarios yields rank correlations exceeding 0.97, confirming ranking stability and methodological robustness. Overall, the proposed framework provides a balanced and reliable approach for identifying critical nodes and demonstrates potential applicability to evacuation planning and spatial network analysis in semi-structured environments.

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.

Agentic artificial intelligence (AI) systems capable of autonomous goal-directed behavior, multi-step planning, tool use, multi-agent coordination, and iterative self-correction represent a transition from passive clinical AI tools toward systems that can participate in complex healthcare workflows. However, empirical evidence remains fragmented across clinical decision support, patient monitoring, and administrative applications, and no systematic synthesis has evaluated which agentic principles have been technically demonstrated and which have accumulated sufficient evidence to support responsible clinical deployment. We conducted a PRISMA-informed systematic review of peer-reviewed empirical studies published between January 2025 and April 2026. Searches across five bibliographic databases and Google Scholar, supplemented by citation tracking, identified 443 unique records for screening, of which 25 met the predefined PICOS and quality appraisal criteria. Evidence was synthesized using an evidence-informed seven-principle framework derived from the integration of agentic AI, clinical AI, and healthcare governance literature. This framework provides a structured lens for examining how agentic principles are evaluated individually and in combination, enabling a deployment-readiness perspective that extends beyond capability-focused assessments alone. The evidence base was concentrated on technical capability principles, whereas human oversight, safety, compliance, and equity-related evaluation received comparatively limited attention. Most studies remained at the laboratory, benchmark, or proof-of-concept stage, and none reported demographic-stratified performance outcomes. Overall, the findings suggest a structural asymmetry in agentic healthcare AI: empirical research is advancing agentic capabilities more rapidly than it is generating evidence for the oversight, safety, equity, and governance mechanisms required for responsible clinical translation.

Document-level sentiment analysis assigns a single polarity label to an entire review, often obscuring opinion diversity within multi-sentence submissions. This limitation is particularly evident in reviews of multi-service platforms, where users frequently express heterogeneous opinions toward different aspects of the platform in the same review. To address this challenge, this study proposes a sentence-level sentiment analysis framework for Indonesian Gojek app reviews collected from the Google Play Store. The proposed framework introduces a two-stage segmentation strategy that combines punctuation-aware rules with conjunction-aware splitting based on coordinating and adversative conjunctions (e.g., tapi [but], padahal [even though]) to identify opinion boundaries and decompose mixed-sentiment reviews into independently classifiable sentence units. A total of 14,730 raw reviews collected between May and July 2025 were subjected to data cleaning and quality filtering, resulting in 7,187 valid reviews that were further segmented into 14,187 sentence-level instances. Each instance was manually annotated by three annotators using a four-class labeling scheme consisting of app-positive, app-negative, app-neutral, and service categories. Sentiment-level inter-annotator agreement, computed on the subset of instances unanimously categorized as app-related by all three annotators (n = 4,384), achieved substantial agreement (Fleiss'  = 0.636). Hyperparameter optimization was conducted using Optuna with the Tree-structured Parzen Estimator (TPE) sampler across four experimental scenarios. The best performance was achieved by IndoBERTweet under Stratified K-Fold evaluation, attaining an accuracy of 0.751 and a macro F1-score of 0.729, outperforming all IndoBERT configurations. The results demonstrate the effectiveness of domain-adaptive pre-training on informal Indonesian text and highlight the value of conjunction-aware segmentation for preserving fine-grained opinion structures in mixed-sentiment reviews. These findings suggest that domain-aligned language representations provide a practical and effective solution for sentence-level sentiment analysis of Indonesian app reviews.

This study aims to obtain a comprehensive understanding of the Juz ‘Amma memorization strategy implemented at Madrasah Diniyah Takmiliyah Baitul Azhar, evaluate its effectiveness, and examine the assessment mechanisms applied in Qur’anic learning. The research employed a qualitative field-study approach, focusing on learning activities as the primary object of investigation. Data were collected through direct observation of the learning process, in-depth interviews with the madrasah principal and teachers (ustadz/ustadzah), and documentation analysis related to the memorization program. The data were analyzed through data reduction, data presentation, and conclusion drawing to generate accurate and in-depth findings. The results indicate that the memorization program utilizes a combination of talaqqi, takrir (repetition), sima’i, and small halaqah methods. These strategies have proven effective in improving students’ memorization abilities, as reflected in increased reading fluency, better tajwid accuracy, and the achievement of memorization targets. In addition, the madrasah implements a structured and continuous evaluation system consisting of daily assessments, weekly reviews, and final examinations for each juz. The evaluation focuses on memorization fluency, recitation accuracy, and overall memorization quality. The study concludes that integrating diverse memorization methods with systematic evaluation significantly enhances the effectiveness of Qur’an memorization learning in Islamic educational institutions.  

This community service activity aims to improve lecturers' competence in supervising master's student thesis proposals through interactive workshops and intensive mentoring at the Adias Institute of Technology and Business, Pemalang. The activity was carried out in two online sessions via Zoom Meeting on April 11 and May 21, 2026, involving 24 participants consisting of 12 active supervisors and 12 master's students. The approach used refers to Kolb's experiential learning model, including socialization of needs, workshops on academic standards and feedback techniques, mentoring simulations, and formative evaluations based on competency rubrics. The results of the activity showed a significant increase in all indicators of mentoring competence with an average increase of 51.7 percent. All 12 lecturers successfully developed structured mentoring plans, and 24 student proposals reached the seminar-ready stage. Theoretically, these findings strengthen the relevance of the experiential learning approach in developing lecturers' academic competence. Practically, this program provides a replicable intervention model for private universities in standardizing the quality of thesis supervision at the master's level.