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Medical emergency services demand swift and precise action; however, medical personnel are often hindered by the risk of criminalization resulting from unintended outcomes. Although Law Number 17 of 2023 concerning Health mandates the provision of assistance, the regulation has not yet provided explicit criminal protection for good-faith rescuers, thereby triggering the practice of defensive medicine. This study aims to examine the implementation of the Good Samaritan Law (GSL) concept as an alternative legal protection for health workers. The research methods employed are juridical-normative and juridical-empirical, utilizing statutory, comparative, and case approaches. The findings indicate that current regulations, including Article 531 of the Criminal Code (KUHP) and Law No. 17/2023, have limitations as they emphasize the obligation to assist rather than the protection of the rescuer. In comparison, the international GSL concept offers a standard of "limited immunity," which explicitly protects rescuers from civil and criminal liability, provided the actions are performed without gross negligence. The impact of implementing GSL in Indonesia is projected to provide stronger legal certainty than existing regulations, reduce the psychological burden on medical personnel in emergency situations, and encourage social solidarity without the fear of unnecessary lawsuits. The study concludes that the adoption of GSL is an urgent legal reconstruction to ensure the professional protection of health workers in Indonesia.

This study analyzes the impact of artificial intelligence on youth digital political engagement through a Structural Equation Modeling approach. The development of algorithmic technology has changed the way young people access, assess, and react to political information, requiring an empirical understanding of its mechanisms of influence. This study explores how digital literacy, trust in AI, and perceived usefulness shape online political participation. Data was obtained from an online questionnaire targeting individuals aged 17-30 who are active with AI, then analyzed using the SEM-PLS 4 method. The main findings reveal that digital literacy and trust in AI have a strong influence on perceived usefulness, which acts as a key mediator in encouraging such participation. This indicates that the impact of AI is not direct, but rather occurs through cognitive processes that guide young people in assessing the benefits of technology. The implications of this research emphasize the importance of strengthening digital literacy, algorithm transparency, and responsible AI implementation to strengthen inclusive youth political participation in the digital environment.

This study analyzes the synergy between human resource development (HRD), work culture, and decision-making systems in enhancing productivity and organizational performance. The approach used is a descriptive qualitative literature review, with sources from peer-reviewed articles from 2021-2025 obtained through databases such as Google Scholar and ScienceDirect. The research findings indicate that HRD can improve employee competence by up to 28.7%, while work culture contributes 41.4-55% to motivation and collaboration within teams. Decision-making systems, such as AHP (Analytical Hierarchy Process) and BI (Business Intelligence), play a role in optimizing operational efficiency by up to 65%. The synergy of these three elements forms a more adaptive organization to change. One example of the implementation of this synergy can be seen in PT X Jakarta, which experienced a 28% increase in output and employee satisfaction reached 85%. However, the main challenge faced is resistance to change, which can be overcome through effective communication. The practical implications of this study include recommendations for holistic organizational transformation, especially in Indonesia, to face the challenges of global disruption.

This study aims to analyze the implementation of artificial intelligence in economics learning within the context of the Merdeka Curriculum and to examine its alignment with deep learning principles. The study employed a qualitative approach using a case study design conducted at SMAN 1 Boyolali. The research participants included economics teachers and eleventh grade students. Data were collected through classroom observations, in depth interviews, and document analysis. Data analysis was carried out interactively through data reduction, data display, and conclusion drawing and verification. The findings indicate that the use of artificial intelligence in economics learning remains limited and has not been systematically integrated into pedagogical design. AI is primarily utilized as a supporting tool for lesson preparation and concept clarification rather than for adaptive learning, data driven assessment, or the enhancement of students’ critical thinking skills. Although students demonstrated positive responses toward AI assisted learning, several constraints were identified, including teachers’ limited pedagogical competence in AI integration, the absence of deep learning based instructional design, and infrastructural challenges. These findings suggest that the effectiveness of artificial intelligence in economics education depends not merely on technological availability, but on the alignment between pedagogy, curriculum policy, and human resource readiness.

This study uses a qualitative method of a descriptive approach with an interpretive paradigm to gain an in-depth understanding of the process of planning, implementing, and evaluating broadcast programs. This research was carried out at the Communication and Information Office of Bogor Regency, Jalan Tegar Beriman Number 1, Pakansari, Cibinong District, Bogor Regency, West Java 16914. The data collection techniques used are direct observation of the broadcast process, in-depth interviews with broadcasters and program managers, and documentation to support the validity of research data. The results of this study show that broadcasting strategies are implemented through content planning that suits the needs of listeners, the implementation of interactive broadcasts involving listeners and routine evaluation to maintain the quality of the information that has been delivered. In addition, the use of digital media as a streaming platform and interaction through social media also supports a wider reach to listeners. The conclusion of the broadcasting strategy implemented by Radio Teman 95.3 FM is considered effective in maintaining listener loyalty and attracting new audiences, so that it can be an example for other local radio stations in facing the current digital media competition.technological optimization, audience engagement, and adaptation to the development of new media.

Digital transformation has significantly reshaped human resource management (HRM) through the adoption of Human Resource Information Systems (HRIS), artificial intelligence (AI), big data analytics, e-learning platforms, and remote work technologies. Although these innovations improve efficiency and decision-making, they also generate ethical challenges related to data privacy, algorithmic bias, transparency, and employee monitoring. This article examines the role of professional ethics in HRM within the context of digital transformation, highlighting both emerging challenges and potential opportunities. This study employs a conceptual research approach supported by a comprehensive literature review of scholarly works on HRM, professional ethics, and digitalization. The analysis focuses on core ethical principles such as integrity, fairness, responsibility, professionalism, and confidentiality, and evaluates their implementation in digital HR practices. The findings indicate that unethical use of digital technologies may lead to discrimination, reduced employee trust, and violations of individual rights, particularly through biased AI-based recruitment systems and opaque performance evaluation mechanisms. However, digital transformation also offers opportunities to strengthen ethical HR governance. The use of ethical data management, algorithmic audits, digital transparency, and e-learning-based ethics training can enhance accountability and fairness in HR processes. The study concludes that integrating professional ethics with digital HRM is essential for developing human-centered, sustainable, and trustworthy organizations in the digital era.

Taxes are the largest contributor to state revenue in financing national development. Tax compliance is the act of the taxpayer in fulfilling their tax obligations following the provisions of the legislation and tax implementation regulations in force in a country. Efforts made by the government to improve taxpayer compliance are by reforming tax laws and the tax administration system. This study aims to determine the effect of tax knowledge, tax sanctions, the benefit of the taxpayer identification number, and modern tax administration systems on personal taxpayer reporting compliance at the tax office in North Badung. The population of this research is personal taxpayers at the North Badung Tax Office Services, which is based on the data of individual taxpayers, as many as 95,542 people. The sample in this study consisted of 76 individual taxpayers who reported compliance, selected using a non-probability sampling method with an accidental sampling technique. The data analysis technique used is multiple linear regression analysis. The results showed that the tax knowledge variable did not affect personal taxpayer compliance, while the tax sanctions variable, the benefit of the taxpayer identification number, taxpayer awareness, and the modern tax administration system had a positive effect on personal taxpayer reporting compliance. Further research can expand on this study by incorporating other variables that, in theory, influence taxpayer reporting compliance, such as tax services.

This study aims to analyze the effect of Environmental, Social, and Governance (ESG) performance on financial misreporting, with investor attention as a moderating variable in banking companies listed on the Indonesia Stock Exchange during the 2019–2022 period. The theoretical framework is grounded in Agency Theory and Legitimacy Theory to explain the role of ESG as an internal control mechanism and a means of gaining external legitimacy. The research employs a quantitative approach using secondary data from annual reports and sustainability reports. Financial misreporting is proxied by earnings management measured through discretionary accruals, while ESG performance is assessed using the GRI Standards index, and investor attention is proxied by institutional ownership. Data analysis was conducted using multiple regression and Moderated Regression Analysis (MRA). The findings reveal that all three ESG dimensions (environmental, social, and governance) have a significant negative effect on earnings management. Institutional investor attention is found to strengthen the negative relationship between environmental and social aspects with earnings management, but weaken the influence of governance. These results indicate that institutional investors tend to be more responsive to environmental and social issues compared to governance aspects. Practically, this study provides empirical evidence that ESG implementation can serve as a control instrument against financial misreporting in the banking sector, while theoretically enriching the literature on investor moderation in the relationship between ESG and earnings management practices.

This study evaluates the AIESEC Incoming Global Volunteer (IGV) Program at the Veteran National Development University in Yogyakarta using the CIPP (Context, Input, Process, Product) evaluation model. Employing a descriptive qualitative approach, data were collected through interviews, non-participatory observation, and documentation studies, with validity ensured through triangulation. The findings reveal that the IGV Program is highly relevant to the university’s internationalization agenda and contributes significantly to strengthening cross-cultural competencies among students. The availability of resources and the overall implementation of the program have been effective, though improvements are needed in ensuring consistent mentoring for international participants. The evaluation highlights that the program has generated positive outcomes, particularly in enhancing intercultural competencies and fostering collaboration with local partners. These results underscore the importance of sustaining and refining the IGV Program as a strategic initiative to support global engagement and student development.

Global climate change has prompted analysis of emission control policies, including carbon trading mechanisms and carbon taxes, to achieve a low-carbon economy. This study utilizes a bibliometric approach (2020–2025) with the Scopus database, which is processed using the RStudio application with Bibliometrix and Biblioshiny analysis and also uses the VOSviewer application, to identify publication trends and the effectiveness of emissions policies in different economic contexts, such as G20 countries or developed countries with developing countries. Thematic analysis results show dominant topics such as emissions trading, carbon capture, renewable energy, and a focus on economic development and technological innovation. The reviewed literature confirms that higher carbon tax rates are more effective in reducing emissions in G20 countries, while in developing countries, the implementation of a combination of strict carbon taxes and emissions trading mechanisms can promote substantial decarbonization. Overall, this bibliometric study confirms the growing research interest in green economy solutions and supports the urgency of adaptive, evidence-based emissions policies in various economic contexts.

Antenatal Care (ANC) is a health service provided to pregnant women during pregnancy by healthcare professionals in accordance with established standards, one of which is the implementation of the 10T ANC service components. The quality of ANC services plays an important role in determining pregnant women’s satisfaction, which in turn affects their compliance with antenatal visits and the effectiveness of pregnancy monitoring. Maternal satisfaction is an essential indicator for assessing the quality of healthcare services at primary healthcare facilities. This study aimed to examine the relationship between 10T Antenatal Care services and pregnant women’s satisfaction at Biru-Biru Public Health Center in 2025. This research employed a quantitative method with an analytical design using a cross-sectional approach. The sample was selected through purposive sampling, involving 48 third-trimester pregnant women. Data were collected using questionnaires that assessed the implementation of 10T ANC services and the level of maternal satisfaction. The collected data were analyzed statistically to determine the relationship between the variables. The findings of this study are expected to provide insights into the importance of optimal implementation of 10T ANC standards. Therefore, healthcare providers, particularly midwives, are encouraged to continuously improve the quality of ANC services to enhance pregnant women’s satisfaction and support efforts to improve maternal and child health outcomes.

Managing Regional Public Service Agency (Badan Layanan Umum Daerah/BLUD) hospitals requires planning and budgeting processes that are accountable, measurable, and aligned with service performance. In practice, BLUD planning is still constrained by fragmented applications (hospital information system/SIMRS, finance, human resources, e-office, and procurement), duplicate data entry, approval delays, and limited monitoring of process compliance. This study aims to analyze requirements and design a web-based BLUD planning information system using an Enterprise Application Integration (EAI) approach through middleware to improve cross-system interoperability, data consistency, and the timeliness of executive reporting. The study adopts the Design Science Research (DSR) framework, comprising problem identification, definition of solution objectives, artifact design and development, demonstration, evaluation, and communication/report writing. The proposed system includes a unit-based budget proposal module and item management, a role-based approval workflow (RBAC) with SLA tracking, a budget ceiling (pagu) master to benchmark proposals, audit trails and report exports, and an executive dashboard integrating budget perspectives, service indicators (e.g., bed occupancy rate/BOR and patient visits), and process compliance. It also provides an integration design via middleware (ESB/message broker) supported by a canonical data model (CDM) and traceable logging (trace_id/correlation_id). Evaluation using black-box testing and API contract testing indicates that the main planning workflow operates as intended and the integration interfaces are consistently defined, providing a foundation for staged implementation and further performance evaluation.

This study aims to describe in depth the teacher's strategy in shaping children's behavior according to religious and moral values ​​in Group B at TK Negeri 01 Al-Icmi, PaguyamanPantai District, Boalemo Regency. The study used a qualitative research method. The subjects of this study were twelve children in Group B and one teacher of Group B at TK Negeri 01 Al-Icmi, PaguyamanPantai District, Boalemo Regency. Data were collected through interviews and documentation. Data analysis was carried out by data editing, data presentation, and conclusions. The results of the study indicate that the implementation of the strategy has been carried out optimally. Teachers act as good role models through positive behaviors demonstrated every day, such as getting children into the habit of washing their hands before eating, praying together, and maintaining politeness and mutual respect. These habits are not only imitated by students, but also become part of the school routine that supports the development of children's religious and moral values. In addition, the teacher's behavior formation strategy uses several methods, including storytelling, singing, habituation, and role models that are adapted to the characteristics of early childhood development. This method is applied both in daily routine activities and special programs aimed at strengthening children's understanding of religious and moral values.

This article examines various guidance and counseling (BK) management models relevant to the context of modern education in Indonesia. The models discussed include POAC (Planning, Organizing, Actuating, Controlling) management, comprehensive BK services, school-based BK management, specialized service management, and the use of digitalization in BK services. This review was compiled using a literature review method, drawing on various credible national sources, such as scientific journals, reference books, and education policy documents. The purpose of this research is to provide an in-depth understanding of the characteristics, principles, and implementation of each BK management model in educational practice. The results indicate that each model has its own advantages and limitations, both in terms of service planning, resource management, and the effectiveness of service delivery to students. Therefore, the selection and implementation of a BK management model must be tailored to the needs of the school, the availability of professional staff, infrastructure, and student characteristics. The integration of a systematic, data-driven, and adaptive management approach to developments in information technology is a key factor in improving the quality and effectiveness of BK services. This article is expected to provide theoretical and practical contributions to school counselors, educators, and education policymakers.  

Science learning at the Islamic junior high school level still faces challenges in improving student learning outcomes because the learning process tends to be teacher-centered and lacks active student involvement. This condition requires the implementation of a learning model that can encourage cooperation, responsibility, and student involvement in the learning process. This study aims to determine the effect of the Jigsaw cooperative learning model on the science learning outcomes of students at MTs Raudhatul Faizin. This study uses a quantitative approach with a correlational design. The research subjects consisted of 30 students who were used as the research sample. Data were collected through a four-point Likert scale closed questionnaire to measure the implementation of the Jigsaw cooperative learning model and students' science learning outcomes. Data were analyzed using simple linear regression analysis techniques. The results showed that the Jigsaw cooperative learning model had a significant effect on students' science learning outcomes. This finding indicates that the better the implementation of the Jigsaw cooperative learning model, the better the students' science learning outcomes. The implications of this study emphasize the importance of implementing the Jigsaw cooperative learning model as an alternative effective learning strategy to improve the quality of science learning in Islamic junior high schools.

Student selection for the National Student Sports Olympiad (O2SN), particularly in the karate category, is still largely conducted manually, which may lead to subjectivity and inconsistency in the assessment process. This study aims to design and develop a web-based Decision Support System (DSS) to assist schools in selecting the best students for the O2SN karate competition by applying the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method at SMA Negeri 2 Muaro Jambi. The system was developed using the waterfall model, which consists of requirement analysis, system design, implementation, and testing stages. The student evaluation process is based on criteria referring to the official O2SN karate standards, including stance accuracy, techniques, movement transitions, timing and harmony, breathing control, focus (kime), conformity (consistency with ryu-ha/style), strength, speed, and balance. The developed system processes assessment data to generate preference values and student rankings, which are separated by male and female categories. The results indicate that the application of the TOPSIS method is able to support more objective decision-making and improve transparency and efficiency in the O2SN student selection process within the school environment.

This study aims to improve the kinesthetic intelligence and physical fitness of students with hearing impairments through rhythmic gymnastics lessons in Physical Education, Sports, and Health (PJOK) at SLB Muhammadiyah Kelayu, East Lombok Regency. The research employed a collaborative classroom action research (CAR) approach involving both the researcher and the PJOK teacher. The action was conducted in two cycles, each comprising planning, implementation, observation, and reflection stages. The research subjects consisted of eight students with hearing impairments, including four females and four males. Data were collected through documentation, observation, and performance assessments using developed kinesthetic intelligence and physical fitness instruments, and then analyzed descriptively using quantitative methods. The results indicate that after the rhythmic gymnastics intervention, kinesthetic intelligence improved, with 75% of students reaching the expected development level by the end of Cycle II. Physical fitness also showed significant improvement across five main components: endurance increased to 68.7%, muscle strength and endurance to 65.6%, agility to 68.7%, flexibility to 65.6%, and balance to 71.8%. Rhythmic gymnastics proved to be an effective approach to support inclusivity while enhancing the kinesthetic intelligence and physical fitness of students with hearing impairments.

Early Childhood Education (PAUD) emphasizes the principle of child-centered learning through meaningful and contextual play activities. Environment-based learning is one of the approaches that is relevant to the characteristics of early childhood because it provides a real learning experience and is close to the child's life. This study aims to describe in depth the implementation of environment-based play learning and its impact on cognitive, language, social-emotional, and motor development in early childhood. The research method used was qualitative descriptive with group B child subjects in PAUD Mawar. Data collection techniques are carried out through observation, interviews, and documentation. The results of the study show that environment-based play learning is able to increase children's active involvement, curiosity, communication skills, cooperation, and motor skills. The conclusion of this study shows that environment-based play learning is effectively applied in PAUD Mawar and can be used as an alternative to contextual and holistic learning strategies.

The Mastery Learning Strategy is a learning approach oriented towards achieving comprehensive student competencies before they move on to the next material or learning stage. This approach is based on the assumption that every student has the potential to succeed, provided they are given the appropriate time, methods, and guidance. In its application, Mastery Learning emphasizes systematic learning planning, the establishment of clear learning objectives, and ongoing evaluation to measure the level of student mastery. Students who have not yet achieved competency standards will receive corrective feedback and remedial activities, while students who have completed them will be provided with enrichment programs to deepen their understanding. With this mechanism, learning gaps can be minimized so as not to hinder the learning process in the next stage. Furthermore, this strategy encourages individualized, structured, and measurable learning according to student needs. Therefore, the implementation of Mastery Learning is considered effective in improving the quality of the learning process, strengthening conceptual understanding, and contributing to optimal and sustainable learning outcomes.  

This study aims to analyze the implementation of financial reporting and evaluate the economic performance of Koperasi Simpan Pinjam dan Pembiayaan Syariah (KSPPS) Nur Insani during the period from 2022 to 2023. A descriptive qualitative method was employed, utilizing secondary data from the Statement of Financial Position, Cash Flow Statement, and Operating Results Report published by the cooperative. The findings indicate that KSPPS Nur Insani has implemented a computerized financial recording system, which enhances accuracy, transparency, and operational efficiency. However, the cooperative experienced significant financial pressure in 2023, as indicated by decreases in cash and cash equivalents, total assets, and temporary syirkah funds, both short-term and long-term. These declines reflect weakened liquidity and reduced fundraising capacity from members. Despite these challenges, the cooperative succeeded in increasing its Net Operating Results (SHU), demonstrating effective revenue management and operational cost control. Overall, the profitability of KSPPS Nur Insani remains positive, yet strategic improvements are necessary, particularly in strengthening liquidity management, increasing funding sources, optimizing asset utilization, and enhancing digital system implementation to support better financial governance. These strategic efforts are expected to improve business sustainability and maintain member trust in the future.