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This study aims to analyze the relationship between epistemology and scientific logic in the development of scientific knowledge using a library research approach by reviewing relevant literature in the fields of philosophy of science, theory of knowledge, and principles of scientific logic. The findings indicate that epistemology serves as a philosophical foundation for understanding the origin, structure, and validity of knowledge, while scientific logic functions as a systematic tool that guides reasoning in constructing rational and consistent scientific truth. Both have a complementary relationship, where epistemology provides a normative framework for determining the criteria of knowledge validity, and scientific logic ensures that the reasoning process is structured, coherent, and free from fallacies. Therefore, the integration of epistemology and scientific logic plays a crucial role in producing scientific knowledge that is objective, measurable, and academically accountable, while also enhancing the overall quality and credibility of the scientific process.

Poultry agribusiness is a key driver of food security and rural economic development in developing countries. However, the sector remains vulnerable to infectious diseases such as avian influenza and Newcastle disease, which can disrupt production systems and supply chain continuity. Although previous studies have examined poultry disease control, biosecurity, and supply chain disruption, evidence on how risk and crisis communication supports outbreak management and resilience in developing-country poultry agribusiness remains fragmented. This study applied a systematic literature review (SLR) approach under PRISMA guidelines to synthesize risk and crisis communication strategies in poultry disease management and their contribution to supply chain resilience. Only seven relevant studies published between 2020 and 2025 met the inclusion criteria and were analyzed using the PICO framework. Quality assessment using the Mixed Methods Appraisal Tool (MMAT), combined with systematic data extraction in Microsoft Excel 2021, was conducted to improve methodological transparency and consistency. The novelty of this review lies in integrating communication strategies, enabling and constraining factors, digital tools, One Health perspectives, and public–private collaboration within a single analytical synthesis. The findings indicate that participatory, transparent, and coordinated communication can support disease prevention and crisis preparedness, particularly when strengthened by stakeholder trust, policy support, training, and accessible information channels. However, limited digital literacy, inadequate infrastructure, and cultural barriers may reduce communication effectiveness. Overall, this review highlights the need for inclusive communication systems and collaborative governance to strengthen poultry supply chain resilience in developing countries, while recognizing that the small evidence base limits broad generalization.

Image Quality Assessment has become an important research area in computer vision due to the increasing use of digital imaging in medical, industrial, and remote sensing applications. This study conducted a Systematic Literature Review (SLR) using articles retrieved exclusively from the Scopus database. A total of fifteen Scopus-indexed articles were selected through the PRISMA process consisting of identification, screening, eligibility, and inclusion stages. The findings indicated that convolutional neural networks, transformer architectures, and no-reference approaches dominated recent studies because of their ability to capture complex visual features and improve evaluation accuracy. The application domain strongly influenced method selection, particularly in medical imaging, industrial quality control, and remote sensing. Deep learning methods achieved high performance but required large datasets and high computational resources. Overall, recent research trends shifted from traditional image enhancement toward artificial intelligence-based quality evaluation.

This study aims to analyze the implementation of Dayak local wisdom values in the Merdeka Curriculum at public elementary schools in Pulang Pisau Regency, Central Kalimantan. Dayak local wisdom, which encompasses values such as mutual cooperation, solidarity, tolerance, environmental awareness, and respect for cultural traditions, plays a significant role in shaping students' character amid the challenges of globalization and the disruptive era. This research employs a qualitative approach using a case study method. The research participants include school principals, teachers, students, and educational stakeholders from several public elementary schools in Pulang Pisau Regency. Data are collected through observations, in-depth interviews, documentation, and literature reviews. Data analysis is conducted using an interactive model consisting of data reduction, data display, and conclusion drawing. The findings are expected to provide a comprehensive description of how Dayak local wisdom values are integrated into the planning, implementation, and evaluation of learning activities within the Merdeka Curriculum framework. Furthermore, the study seeks to identify supporting and inhibiting factors affecting the implementation of local wisdom in educational practices and to formulate strategic recommendations for strengthening character education and preserving local culture in elementary schools. The results are expected to serve as a reference for educational policy development that promotes cultural preservation and enhances the quality of learning in accordance with the socio-cultural context of local communities.

The development of Artificial Intelligence (AI) has driven significant transformation in hospital management, particularly in operational efficiency, service quality, and patient safety. This study aims to analyze the implementation of AI in hospital management based on recent scientific evidence from 2020 to 2026. The method used was a systematic review guided by the PRISMA 2020 framework. Literature was retrieved from PubMed, ScienceDirect, SpringerLink, Google Scholar, and ProQuest. From 360 identified articles, a stepwise selection process was conducted, resulting in 15 articles that met the inclusion criteria. The findings indicate that AI contributes to improved operational efficiency through patient flow optimization, operating room management, workforce scheduling, and electronic medical record management. AI also enhances service quality through predictive data analytics and supports patient safety through risk detection and early warning systems. In conclusion, AI has strong strategic potential to support modern hospital management. However, its implementation still faces several challenges, including human resource readiness, data security, algorithmic bias, system interoperability, and investment requirements. Therefore, AI implementation should be carried out in a planned, ethical manner and evaluated from a health economics perspective.

The implementation of Electronic Medical Records (EMR) has become an essential part of digital transformation in the healthcare sector, aiming to improve the quality, effectiveness, efficiency, and continuity of healthcare services. In Indonesia, the implementation of EMR is supported by the Regulation of the Minister of Health Number 24 of 2022, which mandates healthcare facilities to adopt electronic medical records. However, the implementation process is often challenged by various technical and non-technical factors that may affect its success. This study aims to analyze the success factors and barriers to EMR implementation in hospitals through a literature review approach. The research method used was a literature review by examining and analyzing 11 scientific articles obtained from Google Scholar and other relevant scientific sources. The findings indicate that the success of EMR implementation is influenced by three main aspects, namely human, organizational, and technological factors. Supporting factors include management commitment, user readiness, continuous training, availability of information technology infrastructure, system quality, and organizational support. Meanwhile, common barriers include limited digital literacy among healthcare workers, insufficient information technology personnel, unstable internet connectivity, system errors, inadequate facilities and infrastructure, budget limitations, and the absence of specific standard operating procedures. Furthermore, EMR implementation provides significant benefits, such as improving service efficiency, facilitating access to patient information, enhancing documentation quality, supporting communication among healthcare professionals, and increasing patient safety. Therefore, successful EMR implementation requires synergy between human resources, organizational readiness, and technological infrastructure to achieve optimal healthcare service delivery.

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.

This study aims to analyze educational marketing management strategies in attracting students’ interest at MTs Al-Mursyidiyyah. The research employed a qualitative approach using a descriptive-analytical method. Data were collected through literature review and in-depth interviews with the school principal as the key informant. Data analysis used the Miles and Huberman model, including data reduction, data display, and conclusion drawing. The findings reveal that MTs Al-Mursyidiyyah has comprehensively implemented educational marketing strategies based on the 7P marketing mix (product, price, place, promotion, people, physical evidence, and process). The product dimension is reflected in the integration of academic-religious curriculum supported by technology and diverse extracurricular programs. Promotional strategies are carried out through digital platforms such as Instagram, TikTok, and online admission websites, as well as conventional promotion through the annual November Festival. Strengthening human resources, modernizing facilities, and digitizing educational services also contribute to enhancing the school’s image. The study concludes that the success in attracting prospective students is strongly influenced by the synergy between product quality, promotional effectiveness, and physical evidence that build public trust in the educational institution.

Online transportation has become an essential component of modern urban mobility, significantly transforming the way people travel while creating new challenges related to service quality, safety, customer satisfaction, sustainability, and its impact on conventional public transportation. This study aims to examine the development of research on online transportation through a bibliometric analysis combined with a Systematic Literature Review (SLR). Data were collected from the Scopus database using the keyword "Online Transportation" and filtered using the PRISMA framework, resulting in 90 eligible articles for analysis. The bibliometric analysis was conducted using VOSviewer to identify publication trends, leading contributing countries, author affiliations, journal sources, and the most frequently occurring keywords. The findings reveal that research on online transportation remains relatively limited despite showing a gradual increase in recent years. Indonesia emerged as the country with the highest number of publications, followed by the United States, China, Japan, Malaysia, and the United Kingdom. Frequently occurring keywords indicate that online transportation research is commonly associated with traffic management, drivers, passenger safety, customer satisfaction, service quality, employment, and user loyalty. These findings suggest substantial opportunities for future studies, particularly in the areas of regulatory frameworks, sustainable transportation, traffic safety, digital technology integration, and the development of intelligent transportation systems to support more efficient, inclusive, and sustainable urban mobility.

Tebet Eco Park is one of the green open spaces (GOS) in South Jakarta that plays an important role in supporting environmental health and urban public health. This study aims to analyze the environmental health conditions at Tebet Eco Park through direct observation of environmental cleanliness, air quality, water quality, waste management, sanitation facilities, and visitor comfort. The research employed a descriptive method using field observations and a literature review approach. The findings indicate that the overall environmental health condition of Tebet Eco Park is relatively good. The presence of diverse vegetation contributes to improving air quality and creating a cool and comfortable environment. Supporting facilities such as sports areas, playgrounds, pet-friendly zones, and drinking water refill stations also contribute to the physical and social well-being of the community. However, several issues were still identified, including poor water quality in the park’s ponds and improper waste disposal by some visitors. Therefore, more effective environmental management and increased public awareness are needed to ensure that the ecological and social functions of Tebet Eco Park can be sustained in the long term.

Substandard housing remains a multidimensional urban problem because it intersects with structural safety, indoor environmental quality, sanitation, clean water, poverty, and the effectiveness of policy implementation. This study evaluates the implementation of the substandard housing improvement program (RTLH) in Lubuk Linggau City by integrating a technical audit of housing quality with an implementation analysis based on the variables of communication, resources, implementer disposition, and bureaucratic structure. A descriptive-evaluative mixed approach was applied through field observation, technical scoring of ten rehabilitated houses, document review, and structured interviews with regulators, field facilitators, and beneficiary households. The results show that the cumulative technical conformity index reached 3.325 out of 4.00, equivalent to 83%, and was classified as adequate housing. Structural resilience achieved the highest score at 88%, followed by space adequacy at 85%, natural lighting and ventilation at 80%, and sanitation and clean water at 75%. Five houses were classified as adequate housing, while five were classified as fairly adequate/light substandard housing. The implementation analysis indicates that clear practical communication and facilitator assistance strengthened structural quality, but limited financial resources, weak environmental-health prioritization, and administratively oriented supervision reduced sanitation and ventilation performance. The study recommends standardized septic systems, stronger post-construction technical verification, healthy-housing education, realistic unit budgets, and quality-oriented monitoring.

In order to raise the standard of healthcare services in the contemporary period, digital transformation in hospital management has become a phenomena. The purpose of this study is to investigate the adoption, advantages, difficulties, and success aspects of digital transformation in healthcare facilities. A literature review employing a narrative review system was the methodology. 14 papers that met the inclusion requirements were found using data sources from Google Scholar, PubMed, and ScienceDirect databases with publication years ranging from 2020 to 2025. To determine the primary study themes, data analysis was carried out utilising a thematic synthesis approach. According to the study's findings, digital transformation can enhance operational effectiveness, service quality, and patient safety by using technology including electronic health records (EHR), telemedicine, and hospital management information systems. However, there are still a number of obstacles to its adoption, such as inadequate infrastructure, inadequate human resource competency, expensive investment costs, and data security threats. Significant barriers also include a lack of system integration and opposition to change. Government policies and regulatory assistance have an impact on the success of digital transformation in hospital administration.

Evolving tourism trends indicate a transition among tourists from merely visual recreation (hedonic) toward transformative travel (eudaimonic), which is oriented toward self-reflection and the search for meaning in life. Museum Topeng Cirebon holds significant potential for transformative tourism due to its mask collection that is rich in life philosophies. The urgency of this research is to analyze these transformative tourism experiences to support the quality of tourists' intellectual experiences and the sustainability of local culture. This qualitative research employed thematic analysis with purposive sampling techniques, involving 70 respondents who completed a Google Form questionnaire, which was further supported by interviews and a literature review. The results from the pre-visit phase showed that initial motivations were dominated by hedonic tourism at 37.1%. During the visit, a transformation occurred; tour guides acted as human catalysts in building narrative engagement (62.9%), and the chronological, philosophical flow of the masks sparked an awakening of consciousness for 80% of respondents. In the post-visit phase, eudaimonic impacts were experienced by 91.4% of respondents, including an expanded worldview (37.1%) and a commitment to becoming agents of cultural change (27.1%). However, operational challenges remain, including inconsistent opening hours and a lack of digital self-information facilities.

Conflict is an inevitable phenomenon in educational environments due to differences in characteristics, interests, perceptions, and goals among school members. If not managed properly, conflict can disrupt the learning process, weaken social relationships, and negatively affect educational quality. This study aims to analyze the role of collaborative conflict management in improving the quality of education in madrasahs and schools. The research employed a qualitative approach using a library research method by reviewing various books, scientific journals, and relevant literature related to conflict management and education. The findings indicate that collaborative conflict management, implemented through effective communication, deliberation, discussion, negotiation, and cooperation, can facilitate constructive and sustainable conflict resolution. Furthermore, the application of collaborative conflict management contributes to strengthening cooperation among school members, creating a harmonious and conducive learning environment, and improving teacher performance as well as student learning outcomes. School principals play a strategic role as mediators and facilitators in guiding conflict resolution processes fairly and participatively. Therefore, collaborative conflict management can serve as an effective strategy for enhancing educational quality and fostering a positive educational climate in madrasahs and schools.

Attention Deficit Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder that may persist into adulthood and affect academic, social, and occupational functioning. In adult patients, ADHD is frequently associated with an increased risk of Substance Use Disorder (SUD), raising concerns regarding the potential for misuse and dependence related to stimulant medications used in ADHD therapy. This study aimed to evaluate the effectiveness of pharmacotherapy for adult ADHD and to review the risk of stimulant misuse and dependence based on current scientific evidence. The method employed in this study was a literature review using data obtained from national and international journals indexed in Scopus, PubMed, and Google Scholar published between 2017 and 2026. The findings indicated that stimulant medications, such as methylphenidate and amphetamine, were effective in reducing the core symptoms of ADHD by increasing dopamine and norepinephrine activity in the central nervous system. Most studies reported that the use of stimulant medications at therapeutic doses and under medical supervision was not significantly associated with an increased risk of substance misuse or dependence. The risk of misuse was more commonly observed in cases involving non-medical use and inadequate clinical monitoring. In addition to pharmacological therapy, non-pharmacological approaches such as cognitive behavioral therapy (CBT) also contributed to improving treatment outcomes and patients’ quality of life. Therefore, the use of stimulant medications in adult ADHD patients may be considered relatively safe and effective when administered rationally, individually, and under appropriate medical supervision.

Attention Deficit Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder that may persist into adulthood and affect academic, social, and occupational functioning. In adult patients, ADHD is frequently associated with an increased risk of Substance Use Disorder (SUD), raising concerns regarding the potential for misuse and dependence related to stimulant medications used in ADHD therapy. This study aimed to evaluate the effectiveness of pharmacotherapy for adult ADHD and to review the risk of stimulant misuse and dependence based on current scientific evidence. The method employed in this study was a literature review using data obtained from national and international journals indexed in Scopus, PubMed, and Google Scholar published between 2017 and 2026. The findings indicated that stimulant medications, such as methylphenidate and amphetamine, were effective in reducing the core symptoms of ADHD by increasing dopamine and norepinephrine activity in the central nervous system. Most studies reported that the use of stimulant medications at therapeutic doses and under medical supervision was not significantly associated with an increased risk of substance misuse or dependence. The risk of misuse was more commonly observed in cases involving non-medical use and inadequate clinical monitoring. In addition to pharmacological therapy, non-pharmacological approaches such as cognitive behavioral therapy (CBT) also contributed to improving treatment outcomes and patients’ quality of life. Therefore, the use of stimulant medications in adult ADHD patients may be considered relatively safe and effective when administered rationally, individually, and under appropriate medical supervision.

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.

The rapid growth of digital technology has encouraged school counseling services to adapt to the needs of students who are highly connected to digital media. This study aimed to audit the implementation of Digital Counseling Reality in counseling services at SMA Negeri 15 Medan to examine the level of technology integration within counseling practices. Data were collected through interviews, observations, document reviews, and digital audit instruments involving the counseling coordinator, school counselors, and students. The findings revealed that the school has utilized social media, consultation platforms, digital assessments, online counseling, and data-based evaluations in delivering counseling services. School counselors demonstrated positive attitudes toward e-counseling and showed adequate technological competence, while students expressed positive perceptions regarding comfort, accessibility, and the necessity of digital counseling services. The audit result reached a score of 23, placing the school in the digital-integrated category. These findings indicate that technology has become an essential component of counseling services and contributes to improving service quality, accessibility, and effectiveness for students.

Preeclampsia is one of the leading causes of maternal mortality and may result in various complications during pregnancy and childbirth. In Tegal Regency, preeclampsia contributed to 27% of maternal deaths in 2024; therefore, studies on childbirth characteristics among mothers with this condition are needed. This study aimed to identify the characteristics of childbirth events in mothers with preeclampsia at Dr. Soeselo Slawi Regional Hospital, Tegal Regency. A descriptive design with a retrospective approach was used by reviewing the medical records of 202 mothers who delivered with preeclampsia during 2025. Data were analyzed univariately and presented as frequency distributions and percentages. The results showed that most mothers underwent operative delivery (62.38%), while spontaneous and induced labor accounted for 37.13% and 0.50%, respectively. Most deliveries occurred at preterm gestational age (62.38%), followed by term (36.14%) and postterm (1.49%) deliveries. Maternal and obstetric complications included bleeding (6.93%), fetal distress (4.95%), eclampsia (1.49%), and HELLP syndrome (0.99%). Most neonates had normal birth weight (82.18%) and did not require NICU care (95.05%), although low birth weight (17.82%) and NICU admission (4.95%) were still identified. The maternal clinical condition was dominated by blood pressure of 140–159/90–109 mmHg (75.74%). Proteinuria was found in 46.53% of respondents, with moderate proteinuria (+2) as the predominant category (38.30%). In conclusion, childbirth among mothers with preeclampsia was dominated by operative and preterm deliveries. These findings emphasize the importance of early detection and optimal management of preeclampsia to reduce maternal and neonatal complications and improve the quality of maternal-infant health services overall.

The Free Nutritious Meal Program (MBG) is a free school lunch initiative in Indonesia introduced during the administration of Prabowo Subianto. This study aims to examine the effectiveness of the government's MBG (Free Nutritious Meal) program on kindergarten students' learning interest through a literature review approach. The background of this study is based on the issue of low student learning interest, which is influenced not only by pedagogical factors but also by physical conditions, particularly nutritional intake. This research employed a qualitative approach using a literature review method. The data sources consisted of scientific articles published within the last five years and accessed through Google Scholar. Data were collected through documentation studies, while thematic synthesis was used for data analysis. The findings indicate that the MBG program has a significant positive impact on improving students' learning interest, particularly in terms of attention, motivation, participation, and attendance. The results also reveal that meeting students' physiological needs contributes to their cognitive and emotional readiness to learn. However, the effectiveness of the program is influenced by the quality of its implementation and management in the field. Therefore, more optimal program management and continuous evaluation are needed to maximize its impact on improving the quality of learning.