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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 examines human resource competence in improving financial management at the Public Service Agency of Gorontalo State University, a public higher education institution that operates under a flexible financial management model while remaining accountable for public funds. The main problem addressed is how financial management personnel translate regulatory knowledge, technical skills, and professional attitudes into efficient, effective, and accountable financial governance. This study aims to analyze the competence of financial management personnel and explain its contribution to strengthening institutional financial management. A qualitative descriptive approach was employed through interviews, observation, and document analysis involving bureau leaders, financial work team officials, treasurers, and financial managers across relevant work units. The findings show that knowledge competence is reflected in personnel understanding of regulations, policies, financial systems, budgeting procedures, reporting requirements, and the linkage between budget and institutional performance. Skills competence is demonstrated through financial administration, transaction recording, document verification, use of financial information systems, reconciliation, reporting, and preparation of accountability documents. Attitudinal competence appears in professionalism, compliance, integrity, prudence, responsibility, and openness to evaluation and audit. Financial management has been directed toward performance-based planning, expenditure control, budget realization monitoring, reporting, supervision, and audit follow-up. However, challenges remain in regulatory adaptation, system integration, data quality, document timeliness, account-code accuracy, inter-unit coordination, and consistency of audit follow-up. The study concludes that strengthening human resource competence is essential for improving financial management that is efficient, effective, accountable, and performance-oriented in public university financial governance.

Vector-borne infectious diseases remain a public health concern, particularly in tropical regions such as Indonesia. Sanitation clinics at public health centers (Puskesmas) play a role in identifying environmental risk factors and planning interventions to support vector-borne disease control. This study aimed to evaluate the performance of sanitation clinics in environmental intervention planning. The method used was a literature review of scientific articles, journals, and related documents published between 2015-2025. Data were analyzed descriptively to identify forms of environmental interventions and their effectiveness. The results showed that sanitation clinics play an important role in environmental health counseling, sanitation inspections, health education, and environmental intervention planning. However, their implementation still faces challenges, including limited numbers of sanitarians, inadequate facilities and infrastructure, and suboptimal environmental interventions. Nevertheless, sanitation clinics continue to contribute to the prevention of environment-based diseases and vector control. Therefore, strengthening resources and improving the quality of intervention planning are necessary to enhance the effectiveness of sanitation clinic programs.

The Role of Leadership in the Implementation of Employee Performance Supervision at the Manpower and Transmigration Office at the Regional Manpower Supervisory Agency (UPTD) for Regional Manpower Supervisory Agency (Balai Wasnaker) 1. This study aims to determine the role of leadership in the implementation of employee performance supervision. Effective leadership is an important factor in ensuring that employees perform their duties and responsibilities in accordance with organizational goals and established regulations. The research method used was descriptive qualitative, with data collection techniques through observation, interviews, and documentation. Informants were selected based on their involvement in supervision activities and understanding of employee performance management. The results indicate that leadership plays a significant role through direction, coaching, monitoring, and evaluation of employee performance. Employee performance is generally quite good, but supervision has not been optimal due to limited time, diverse tasks, and inconsistent evaluation follow-up. In addition, communication and coordination between leaders and employees influence the effectiveness of supervision. Therefore, the implementation of leadership-supported supervision has a positive impact on employee discipline, responsibility, and work effectiveness, but there is still a need for improvement in the consistency of employee supervision and coaching to achieve optimal organizational performance.

Discrimination in the workplace is a problem that can hinder the creation of a fair and inclusive work environment. Discrimination can take the form of differential treatment of employees based on gender, race, religion, disability, sexual orientation, or other factors unrelated to individual performance and competence. To address this issue, the law plays a crucial role in providing employee protection to ensure equality and non-discrimination in the workplace. Various legal instruments, both national and international, regulate employee protection from discrimination, including the Employment Law, the Human Rights Law, and conventions issued by the International Labour Organization (ILO). However, the effective implementation of these regulations remains a challenge, particularly in terms of implementation, enforcement, and employee awareness of their rights. This study aims to analyze the role of law in protecting employees from discrimination in the workplace by examining applicable regulations and the challenges in their implementation. The research method used is a normative juridical method, which focuses on the study of relevant laws and legal principles. The analysis is conducted on national legal provisions and international legal instruments as references for protecting workers from discrimination. Furthermore, this study identifies barriers to legal implementation and offers recommendations to improve the effectiveness of legal protection for employees. This analysis is expected to provide insight into the urgency of regulatory reform and strengthening so that the law can play an optimal role in creating a fairer and more discrimination-free work environment.

Balanced nutrition intake is an important factor in supporting the performance of young athletes, especially during the growth period that requires optimal nutrition for intense physical activity. However, the lack of nutritional knowledge among parents of young athletes often leads to nutritional imbalances that have a negative impact on athlete health and performance. This study aims to measure the effect of balanced nutrition education on improving the knowledge and attitudes of parents of athletes at the Kancil Mas Football School (SSB), Karawang. The method used was a quasi-experiment with a pre-test and post-test design involving 20 respondents who were parents of U-13 athletes. Education was provided in the form of direct counseling sessions and group discussions, which were supplemented with supporting materials such as leaflets. The Wilcoxon signed rank test was used to analyze changes in parental knowledge and attitude scores before and after the intervention. The results of the analysis showed a significant increase in parents' understanding and positive attitudes towards balanced nutrition after education (p < 0.05). The results showed a significant increase in the level of parents' understanding and positive attitudes towards nutrition after the education intervention. These findings highlight the importance of active parental involvement in ensuring that young athletes' nutritional needs are met, as well as providing a basis for developing nutrition education programs in other sports schools.

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.

Python programming has become a fundamental competence in the digital era, yet students often struggle to transform algorithmic logic into functional code. This gap between conceptual understanding and practical implementation skills requires a thorough investigation into learning challenges within the Industrial Informatics Engineering Technology (TRIN) program at Politeknik Manufaktur Bandung. Grounded in Bloom's Revised Taxonomy and Cognitive Load Theory, this descriptive quantitative study utilized a Likert-scale questionnaire and an objective comprehension test administered to 87 third-year students. Data were analyzed using descriptive statistics to map performance across three aspects: conceptual understanding, syntactic comprehension, and implementation ability. Results indicate the conceptual aspect achieved the highest average of 4.15, followed by syntax at 3.56 and implementation at 3.54, with objective test accuracy rates of 76.09%, 65.52%, and 67.36%, respectively. Major obstacles identified include difficulties with looping, debugging, and comparison operators. Therefore, enhanced structured practice and Project-Based Learning approaches are recommended to strengthen students' implementation competencies.

The Free Nutritional Meal Program (MBG) is a government policy that is widely discussed by the public through social media, especially TikTok. Various comments that have emerged indicate differences in public opinion towards the program, so an analysis is needed to determine the tendency of public sentiment. This study aims to analyze TikTok user sentiment towards the Free Nutritional Meal Program using the Naive Bayes method. The research method is carried out through several steps, namely collecting TikTok comment data, preprocessing text, labeling sentiment data into positive, negative, and neutral, feature transformation using TF-IDF, and classification using the Naive Bayes algorithm. Based on the analysis of 500 comment data, the results show that positive sentiment dominates public opinion by 42% (210 data), followed by negative sentiment by 36% (180 data), and neutral sentiment by 22% (110 data). Testing the classification model using Naive Bayes produces excellent performance with an accuracy rate of 86%, precision of 84%, recall of 85%, and F1-score of 84%. The conclusion of this study shows that the Naive Bayes method is effective as an approach in social media sentiment analysis to map public responses to government policies.

This study examines the role of the creative economy in enhancing sustainable tourism potential in Pampang Cultural Village, Samarinda, Indonesia, and identifies strategic priorities for its development. Pampang Cultural Village is recognized for its rich cultural heritage preserved by the Dayak Kenyah community, which serves as a valuable tourism asset. Despite this potential, the contribution of creative economy activities to tourism development has not been fully optimized. Therefore, a comprehensive analysis is needed to formulate effective development strategies. This research employs a mixed qualitative–quantitative approach using the SWOT-AHP method. SWOT analysis is utilized to identify internal strengths and weaknesses as well as external opportunities and threats affecting creative economy development. Subsequently, the Analytic Hierarchy Process (AHP) is applied to determine the priority level of each strategic factor and alternative strategy. The findings indicate that the village possesses significant creative economy potential in cultural performances, handicrafts, culinary products, traditional fashion, and cultural souvenirs. Cultural authenticity emerges as the primary strength, while limited innovation capacity and digital marketing skills remain the major weaknesses. The results further reveal that the highest-priority strategy is the development of innovative creative tourism products rooted in Dayak Kenyah cultural heritage while preserving cultural authenticity. This strategy should be supported by digital promotion, human resource capacity building, stakeholder collaboration, and improvements in tourism infrastructure to achieve sustainable tourism development.

Bank stock price prediction is an important topic in the application of information technology because stock price movements are dynamic, sequential, and influenced by historical market patterns. This study aims to predict Indonesian banking stock prices using the Long Short-Term Memory method and evaluate the effect of Bayesian Optimization on model performance. The data used in this study consists of daily historical stock data of BBCA, BBNI, BBRI, BBTN, and BMRI from May 4, 2020, to May 4, 2026, obtained from Yahoo Finance. The input features include opening price, highest price, lowest price, closing price, and trading volume, while the prediction target is the stock closing price. The results show that the baseline model produced MAPE values ranging from 1.892% to 3.147%. The best baseline performance was obtained on BBCA with an R² value of 0.933, followed by BBTN with an R² value of 0.902. After optimization, performance improvement occurred on BBTN, with MAPE decreasing from 3.147% to 2.482% and R² increasing from 0.902 to 0.935. For BMRI, MAPE decreased from 2.385% to 2.206%, and R² increased from 0.687 to 0.743. This study concludes that Long Short-Term Memory can be used to predict Indonesian banking stock prices, while Bayesian Optimization can selectively improve model performance depending on the characteristics of each stock dataset.

This study aims to analyze the financial management practices of the Es Degan Bu Ulfa MSME and their compliance with the Financial Accounting Standards for Micro, Small, and Medium Entities (SAK EMKM). The study used a qualitative approach with a case study method. Data were obtained through interviews and observations, then analyzed descriptively and qualitatively.   This study aims to analyze the financial management practices of the Es Degan Bu Ulfa MSME and their compliance with the Financial Accounting Standards for Micro, Small, and Medium Entities (SAK EMKM). The study used a qualitative approach with a case study method. Data were obtained through interviews and observations, then analyzed descriptively and qualitatively. The results indicate that financial management is still carried out simply and does not yet implement written records. Business income and expenses still rely on memory, even though business owners perform daily profit and loss calculations and separate personal and business finances. The main obstacles faced include limited human resources and a low understanding of financial record keeping and the SAK EMKM. Based on the analysis, financial management practices are not fully compliant with SAK EMKM standards. Therefore, the implementation of simple financial record keeping is necessary to structure business financial information and support business decision-making. Proper financial management can help improve business performance, monitor cash flow, evaluate profitability, and enhance accountability. Furthermore, the application of SAK EMKM is expected to facilitate access to financing and strengthen the sustainability and competitiveness of MSMEs in an increasingly competitive business environment.

This community service activity aims to boost the self-confidence of seventh-grade students at SMP Negeri 2 Taniwel Timur, West Seram Regency, many of whom struggle with speaking in public. The activity was conducted through an arts performance as part of the University of Pattimura’s Community Service Program (KKN). The process was divided into three simple stages: preparation (meetings with the school and selecting competitions such as public speaking, poetry reading, or solo singing), implementation (students performed for 2 hours while receiving praise and positive feedback), and evaluation (observing changes such as more confident eye contact and a louder voice). As a result, the students participated actively, and their hesitation decreased significantly due to hands-on practice and support from teachers and peers. The arts performance proved to be an easy and comprehensive way to help students become more confident and sociable.

Medical students need to take the Competence test as Doctor Profession Program (UKMPPD) to be passed and earned their medical profession. Exams are one of the most common stressors experienced by medical students and the body will respond to these stressors in the form of feelings of depression or anxiety. Anxiety and depression itself can affect student performance during exam preparation. The purpose of this study was to determine the relationship between anxiety and depression on the preparation of the Professional Doctoral Program Competency Test (UKMPPD) for students of the Faculty of Medicine, University of Pattimura. The method used is quantitative analysis with cross sectional research design and total sampling technique. The sample is all the student population of the Faculty of Medicine, University of Pattimura who meet the inclusion and exclusion criteria, totaling 90 respondents. The results showed that the majority of respondents experienced mild anxiety symptoms, which is 37% during the CBT exam and 34% during the OSCE exam. The majority of respondents also did not experience depression, which is 68% during the CBT and 70% during the OSCE and the majority had an optimal level of preparation for UKMPPD, which is 63% during the CBT and 64% during the OSCE. Data analysis using the chi square test showed a significant relationship between anxiety symptom and the level of preparation for UKMPPD both CBT (p=0.030) and OSCE (p=0.012). There was no significant relationship between depression symptom and the level of preparation for UKMPPD for both CBT (p=0.123) and OSCE (p=0.07). It can be concluded that there is a significant relationship between anxiety and preparation for UKMPPD, but there is no significant relationship between depression and preparation for UKMPPD.

TPS 3R is a community-based waste management approach aimed at reducing waste generation through reduce, reuse, and recycle activities. However, the operational sustainability of TPS 3R still faces several challenges,including  waste processing effectiveness, and community participation. This study aims to analyze the community’s Willingness to Pay (WTP) for waste management fees and to formulate priority recommendations for improving the performance of TPS 3R Banjar Sugihan using the Quality Function Deployment (QFD) method. The research was conducted in Banjar Sugihan Village, Tandes District, Surabaya City, involving 563 household respondents. WTP analysis was carried out using the bidding game method, while QFD analysis was conducted through the preparation of the House of Quality (HoQ). The results showed that the community’s WTP ranged from IDR 16,000 to IDR 19,000 per month. If applied to all 3,758 households in Banjar Sugihan Village, the potential retribution revenue is estimated to reach IDR 60,128,000–IDR 71,402,000 per month. The QFD analysis indicated that the priority strategies for improving TPS 3R performance include enhancing infrastructure facilities, optimizing waste sorting and processing, increasing waste processing capacity, strengthening human resource capacity, and implementing a WTP-based retribution system. Therefore, the implementation of a WTP-based retribution system and priority strategies derived from QFD analysis are expected to support the sustainability of waste management at TPS 3R Banjar Sugihan.

In the Education 4.0 era, schools face unprecedented challenges in managing teacher performance effectively. Traditional top-down performance management systems have proven inadequate for fostering continuous professional growth, intrinsic motivation, and adaptive teaching competencies required in increasingly technology-driven learning environments. This study aims to develop, validate, and assess the effectiveness of a School-Based Performance Management (SBPM) model designed to enhance teacher effectiveness across cognitive, affective, and pedagogical dimensions. Using a Research and Development (R&D) design following the ADDIE framework, the study was conducted in three phases: needs analysis, model development, and model validation. Participants included 12 school principals, 186 teachers, and 8 education experts from 24 public secondary schools in [Province, Country]. Validation by experts yielded a content validity index (CVI) of 0.91. Implementation resulted in statistically significant improvements in teacher effectiveness scores (t = 8.74, p < 0.001, Cohen's d = 1.23), digital pedagogy competency (mean increase = 22.4%), and student learning outcomes (mean improvement = 17.8%). The SBPM model provides a contextually responsive, evidence-based framework that empowers schools to manage teacher performance collaboratively, fostering professional accountability and sustainable instructional quality in Education 4.0.

Rapid population growth in Sidoarjo Regency has triggered massive land-use changes, resulting in increased surface runoff and reduced performance of the drainage system. This study aims to evaluate the hydraulic capacity of drainage channels in the Pondok Sidokare Indah Housing area against design flood discharges with return periods of 2, 5, and 10 years. The method used is a descriptive quantitative approach, involving hydrological analysis using maximum daily rainfall data from 2015–2025 and hydraulic modeling of the existing channel along 350 meters. The frequency analysis results indicate that the Log Pearson Type III distribution is the most suitable method based on statistical parameters and the Smirnov-Kolmogorov goodness-of-fit test. The calculation of design flood discharge using the rational method yields values of 0.749 m³/s (2-year), 1.003 m³/s (5-year), and 1.164 m³/s (10-year). Meanwhile, the maximum capacity of the existing channel ranges only between 0.534 m³/s and 0.733 m³/s. The comparison between hydrological load and channel capacity shows that all observation points (Sta 0+000 to Sta 0+350) are in overflow condition, even for the lowest return period flood discharge. This condition confirms that the current channel dimensions are no longer adequate and require normalization to mitigate annual flooding in the area.

Construction project control requires careful planning to avoid delays and cost overruns. This study aims to evaluate the performance of the CBT Laboratory Building construction project at the Faculty of Medicine, Wahid Hasyim University, Semarang, in terms of cost and time using the Earned Value Analysis (EVA) method, and to analyze acceleration alternatives using the crashing method. The method used is a quantitative approach with a case study, based on project data such as the Budget Plan (RAB), S-curve, and work progress reports. The analysis was carried out using the Earned Value Analysis (EVA) method to assess project performance in terms of cost and time through indicators such as CV, SV, CPI, and SPI. Furthermore, an acceleration analysis was conducted using the crashing method to determine the optimal alternative for overcoming project delays by considering time and cost efficiency. The results of the Earned Value Analysis indicate that the project experienced delays and cost overruns, as shown by SPI < 1 and CPI < 1. The estimated project completion time increased to 227 days, longer than the initial plan of 217 days, while the estimated final cost reached RP 5,451,241,064.85, exceeding the initial budget. Acceleration efforts using the crashing method show that adding adding labor is more efficient than working hours (overtime), resulting in a project duration of 212 days with lower costs of RP 5,658,221,364.08. Thus, the Earned Value Analysis method is effective for evaluating project performance, while crashing can be a solution for acceleration by considering time and cost efficiency.

The term "breach of contract" in contract law refers to a breach of promise. Discussions of breach of contract, both in doctrine and jurisprudence, are usually associated with a statement of negligence by the debtor, where the debtor has failed to properly fulfill their contractual obligations, and the debtor is at fault. It must be acknowledged that a breach of contract, or breach of promise, already involves bad faith on the part of the party failing to fulfill their promise. The meaning of "breach of contract" in banking law relates to the occurrence of problem loans at banks, which cause the loan to become non-performing. This is usually due to the debtor or customer not paying by the previously agreed payment date. The existence of a breach of contract is inseparable from the existence of a credit agreement. Whether a debtor is in default cannot be determined simply because there are efforts to rescue loans that have entered a problematic stage. The beginning of a violation of an agreement or default due to someone not being paid, in meeting the credit rescue standards at the bank, usually efforts are made such as Rescheduling, Reconditioning, Restructuring, through this rescue, the debtor is given the opportunity to lose his business, so the concept of default in BW and the Banking Law must be measured through the performance given, in both regulations, then from there the concept of problem credit can be classified. This banking regulation can be said to be a default, the comparison of this concept is the discussion in this thesis.