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ABSTRACT Background: Tourist areas are regions with a high potential risk of disasters, so tourism actors are required to have basic knowledge of Basic Life Support as part of disaster preparedness. The Tourism Health Nursing approach emphasizes the importance of the health capacity of the tourist community to prevent and respond to emergency conditions. Objective: This study aims to understand the effect of BLS training on improving the knowledge of tourism actors in managing disaster preparedness based on Tourism Health Nursing. Method: The research design was a quasi-experiment with a one group pretest–posttest design. The sample consisted of 30 tourism actors, selected using purposive sampling. Analysis was conducted using the paired t-test. Result: The average score after receiving Basic Life Support (BLS) training showed that the average BLS knowledge score of respondents before training was 58.9, with a minimum-maximum range of 60-73. with an average score difference of 6.4. Conclusion: It can be concluded that there is an effect of Basic Life Support (BLS) training on public knowledge. BLS training has a significant impact on increasing the knowledge of tourism actors in disaster preparedness.

ABSTRACT Background: Pain is the most common complaint and can interfere with patient comfort. Pain management can be done pharmacologically and non-pharmacologically. Acupressure that can reduce pain is Li 4 acupressure. Objective: The purpose of this study was to determine the difference in pain intensity of post-cesarean section wounds before and after acupressure point Li 4. Method: The research method used was Pre Experiment using the One Group Pretest Postest Design research design approach. The number of samples in this study was 50 people using purposive sampling techniques. The pain measurement instrument used a numeric scale and the statistical test used was the Wilcoxon test. Results: Based on the Wilcoxon test, the difference between the average value of pain intensity before and after therapy was 1.3 points, a p-value of 0.00 or <0.05. Conclusion: Li 4 acupressure therapy can reduce pain intensity.

Micro, Small, and Medium Enterprises (MSMEs) play a strategic role as the backbone of Indonesia’s economy through their significant contribution to employment creation and Gross Domestic Product (GDP). However, many MSMEs continue to face structural challenges, including limited managerial capacity, low levels of innovation, and weak adaptation to digital transformation. In response to these challenges, entrepreneurship education has emerged as a strategic instrument for strengthening MSME competitiveness and sustainability. This study aims to analyze the role of entrepreneurship education as a development strategy for MSMEs in supporting Indonesia’s economic growth. Employing a descriptive qualitative approach with a case study design, this research examines several MSMEs that have participated in entrepreneurship education and training programs organized by government and educational institutions. The findings reveal that entrepreneurship education contributes to strengthening entrepreneurial mindset, improving managerial and financial skills, encouraging business innovation, and enhancing digital technology adoption among MSME actors. Moreover, entrepreneurship education supports business resilience and market expansion, enabling MSMEs to adapt to dynamic economic conditions. These findings indicate that entrepreneurship education is not merely a capacity-building tool, but a strategic policy instrument for developing competitive and sustainable MSMEs. Therefore, the institutionalization of integrated and continuous entrepreneurship education is essential to optimize the role of MSMEs in fostering inclusive and sustainable economic growth in Indonesia.

The illicit circulation of narcotics in Indonesia has undergone a fundamental evolution into cyber-enabled crime, where drug syndicates systematically exploit children as technical operators through digital media to sever the main network chain and evade legal detection. This study aims to analyze the anatomy of the modus operandi of narcotics transactions involving children in the digital realm and examine its legal implications for the process of proof and criminal liability. Utilizing an empirical juridical research method with a sociological approach conducted in the jurisdiction of the Metro Police Resort, Lampung, this research identifies a shift in modus operandi towards the "Map System" or Dead Drop Method. In this modus, the child's role is divided into three sophisticated technical stages: pre-transaction via encrypted communication, field execution (mapping & dropping) using precise GPS coordinates, and post-transaction involving digital cleaning, which creates a phenomenon of crime "gamification" where children perceive the criminal act akin to an online game mission. The legal implications of this phenomenon present serious challenges regarding the validity of electronic evidence, which is volatile due to a weak chain of custody, as well as the reconstruction of the child's mens rea, which points towards premeditated intent (dolus premeditatus) driven by high digital literacy rather than mere negligence. These conditions complicate the application of pure diversion as mandated by law; thus, this study recommends a hybrid punishment approach where law enforcement proceeds to break impunity, but sanctions focus on specific rehabilitation in the Special Guidance Institution for Children (LPKA) to reorient the children's digital skills positively.

This study aims to examine business models in the gypsum sector by utilizing the Business Model Canvas (BMC) framework. The gypsum business is one of the fields that is growing rapidly in line with the increasing need for residential construction, building renovation, and aesthetic and functional interior design. However, to be able to survive and compete in an increasingly competitive market, gypsum business actors are required to have a business model that is structured, adaptive, and value-oriented for customers. This study uses a qualitative approach with a descriptive type of research. Data collection was carried out through in-depth interviews and direct observation of Nury Gipsum's business located in Klaten Regency. The results show that all nine elements in the Business Model Canvas, namely key partners, key activities, key resources, value offerings, customer relationships, distribution channels, customer segments, cost structure, and revenue streams, have been optimally implemented. Thus, the Business Model Canvas has proven to be effective in providing a comprehensive overview of business operations and can be a strategic basis for decision-making and gypsum business development in the future.

The rapid development of digital technology and the increasing demand for entrepreneurial competence in higher education require students to possess adequate digital literacy and financial literacy, as well as obtain continuous institutional support to shape and strengthen their entrepreneurial interest. This study aims to empirically analyze the influence of digital literacy, financial literacy, and institutional support on the entrepreneurial interest of students in the Islamic Business Management Study Program at the Faculty of Economics and Islamic Business, UIN Raden Mas Said Surakarta. A quantitative approach was used, involving 75 respondents selected through accidental sampling, while the research data were analyzed using multiple linear regression. The results of the study indicate that all three independent variables have a positive and significant effect on students' entrepreneurial interest, with the model contributing 42.7%. These findings highlight the importance of integrating digital competencies, effective financial management, and a supportive campus ecosystem to foster students' entrepreneurial intentions. This study provides practical implications for higher education institutions to strengthen curricula, learning facilities, and mentoring programs aimed at developing young, digitally-driven, and sustainable entrepreneurs.

Population density plays a critical role in shaping public health outcomes and environmental quality, particularly in rapidly urbanizing regions. This study aims to analyze the relationship between high population density and its impacts on sanitation conditions, air quality, access to clean water, and the incidence of various diseases in densely populated areas. The research adopts a qualitative descriptive approach by combining a comprehensive literature review with field observations conducted in several urban areas characterized by high population concentration. The findings reveal that increased population density is closely associated with environmental degradation, including inadequate sanitation systems, reduced air quality due to pollution, and limited availability of clean water. These environmental challenges contribute directly to a higher prevalence of health problems, such as respiratory infections, waterborne diseases, and other communicable illnesses. Overcrowded living conditions also intensify the spread of diseases, placing additional pressure on public health infrastructure. Furthermore, the study highlights that insufficient public facilities and poor environmental management exacerbate the negative effects of population density on both health and the environment. To address these challenges, effective strategies are required, including population growth control, improved urban planning, and enhanced investment in public health and environmental sanitation facilities. Strengthening community awareness and participation in maintaining environmental cleanliness is also essential. Overall, this study emphasizes the need for integrated policies that balance population management with sustainable environmental and public health development.  

This research examines the influence of road infrastructure development on local economic growth in Medan City, emphasizing its role in improving accessibility and supporting economic activities. Road infrastructure is a vital component of regional development, as it facilitates the movement of goods and services, reduces transportation costs, and enhances connectivity between economic centers. Well-developed road networks can stimulate business expansion and encourage investment by creating a more efficient economic environment. The study employed a descriptive quantitative approach using field surveys involving 20 respondents, including business actors, local residents, and government representatives. Data were collected through structured questionnaires and analyzed descriptively to capture perceptions regarding the economic impact of road infrastructure development. The results indicate that improvements in road quality, capacity, and connectivity have a positive influence on local economic growth. Respondents reported increased trade activities, improved access to markets, higher investment opportunities, and rising community income levels as direct benefits of improved road infrastructure. However, the study also identified several challenges that may hinder long-term economic outcomes. Traffic congestion, uneven infrastructure development across areas, and inadequate routine maintenance were highlighted as significant issues. These problems can reduce efficiency and limit the sustainability of economic gains. Therefore, continuous government commitment, effective maintenance strategies, and equitable distribution of infrastructure development are essential. Strengthening coordination among stakeholders is also necessary to ensure that road infrastructure development supports inclusive and sustainable local economic growth in Medan City.

Introduction: Dental and oral health problems in school-age children are still a major public health concern. The Little Doctor Program is a school-based health promotion approach that involves the active role of students as agents of change. This study aims to analyze the effectiveness of Small Doctors in promoting dental health in elementary schools. Methods: This study used a quasi-experimental design with a one group pretest–posttest approach. The subjects of the study were elementary school students who participated in dental health promotion activities by Small Doctors. Interventions include counseling, demonstrations of proper brushing of teeth, and the use of educational media. Data were collected using a questionnaire of dental health knowledge, attitudes, and behaviors before and after the intervention. Data analysis was carried out using the paired t-test or Wilcoxon test with a significance level of p < 0.05. Results: There was a significant improvement in students' dental health knowledge, attitudes, and behaviors after the intervention (p < 0.05). Conclusion: The Small Doctor Program is effective as a strategy for promoting dental health in elementary schools and has the potential to support promotional and preventive efforts for children's dental health.

This study aims to analyze the influence of product quality on consumer satisfaction in the Kipang Sisera Panyabungan Business. The research method used is a quantitative approach with data collection techniques through observation, interviews, and questionnaire distribution to 96 respondents who are customers of Kipang Sisera. The data obtained were analyzed using validity, reliability, and regression analysis tests with the help of SPSS 25. The results of the validity test showed that all items in the questionnaire were valid with a rtable value of > (0.1689), while the results of the reliability test using Alpha Cronbach showed a value of > 0.60, which means that the research instrument is trustworthy. The results of the partial regression test (t-test) showed that product quality had a positive and significant effect on consumer satisfaction with a significance value of 0.000 < 0.05. The determination coefficient (R²) test showed that product quality contributed 62.9% to consumer satisfaction, while the rest was influenced by other variables that were not studied in this study. These findings indicate that improving product quality, both in terms of taste, packaging, and quality consistency, is very important in maintaining consumer satisfaction and the sustainability of Kipang Sisera's business in the midst of market competition.

This study aims to systematically analyze the influence of Work Family Conflict (WFC) and Work Life Balance (WLB) on employee performance through a Systematic Literature Review (SLR) approach. The increasing demands of work and family roles in modern organizational settings make these variables highly relevant in organizational behavior research. The SLR procedure was conducted based on guidelines by Kitchenham and Wahono, consisting of planning, conducting, and reporting stages. Literature searches were performed across several academic databases, including Google Scholar, Garuda Ristek, ResearchGate, and university journal portals, covering publications from 2020 to 2025. From a total of 5,992 identified articles, 28 studies met all inclusion and quality criteria and were reviewed in depth. The findings indicate that Work Family Conflict consistently exerts a negative effect on employee performance by increasing stress, reducing concentration, and impairing psychological well-being. Conversely, Work Life Balance demonstrates a significant positive influence on performance, as employees who successfully balance their professional and personal responsibilities tend to exhibit higher productivity, job satisfaction, and engagement. Furthermore, factors such as organizational support, flexible working arrangements, and job satisfaction are shown to mediate or moderate the relationship between WFC, WLB, and employee performance. This study contributes by mapping the latest empirical patterns and providing recommendations for organizations to develop supportive work policies that enhance employee well-being and sustainable performance.

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 influence of Corporate Image and Service Quality through Customer Satisfaction on Customer Loyalty at Semen Indonesia distributors in Gresik using the Structural Equation Modeling (SEM) approach. The study population consisted of 102 customers, all of whom were sampled. The results indicate that Corporate Image and Service Quality have a significant influence on Customer Satisfaction. Both variables were also shown to have a significant influence on Customer Loyalty. However, unlike several previous research findings, Customer Satisfaction did not have a significant influence on Customer Loyalty. This finding indicates that in the context of the cement distribution business, customer loyalty is not formed solely from satisfaction, but is more influenced by other factors such as consistent service quality, a strong corporate image, competitive pricing, and long-term business relationships. This study emphasizes the importance of strengthening image and improving service quality as key strategies for maintaining customer loyalty.

This study aims to analyze the influence of advertising, price, and brand image on purchasing decisions for Madu Sumber Podang in Kediri Regency. The research employed a quantitative descriptive approach with a sample of 136 respondents selected through accidental sampling. Data were collected using a questionnaire and analyzed using classical assumption tests, multiple linear regression, t-test, F-test, and coefficient of determination (R²). The results indicate that advertising has a positive but insignificant effect on purchasing decisions. Price has a negative and significant effect, while brand image has a positive and significant effect on purchasing decisions. Simultaneously, the three independent variables have a significant influence on purchasing decisions. The determination coefficient (R²) value of 0,388 shows that 38.8% of the variation in purchasing decisions is explained by advertising, price, and brand image, while the remaining portion is influenced by other variables outside the study. These findings highlight the importance for business actors to improve promotional effectiveness, pricing strategies, and brand image strengthening to enhance consumer purchasing decisions for Madu Sumber Podang.

Artificial Intelligence (AI) has become a significant driver of innovation in the banking sector, especially in the context of post-pandemic digital transformation. AI is widely utilized in areas such as fraud detection, credit evaluation, risk management, and customer interaction, attracting considerable interest from both academics and industry professionals. This research explores the recent advancements in AI within the banking industry, focusing on studies published between 2020 and 2025. A bibliometric approach is employed, using data from the Scopus database and bibliometric tools like VOSviewer and R Studio to visualize keyword networks and track emerging trends. The study aims to identify influential authors, journals, and countries contributing to AI research in banking. By analyzing these developments, the research highlights the contributions of AI to improving operational efficiency, data security, and financial inclusion, particularly in the Indonesian context. This work offers valuable insights into the ongoing integration of AI in the banking sector and its potential to shape future financial services, emphasizing its relevance to both global and regional markets.

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.

The integration of big data in the financial sector has increasingly attracted scholarly attention, particularly in areas such as risk management, fraud detection, algorithmic trading, and investment optimization. Given the rapid development of this field, it is essential to map research trends and identify emerging directions that shape the future of financial innovation. This study applies a bibliometric approach using 3,829 articles retrieved from the Scopus database from 1981 to 2025, with data processed through R Studio and the Bibliometrix-Biblioshiny application. The objective is to explore the intellectual landscape of big data finance and reveal research frontiers as well as thematic evolution. The results show a sharp increase in publications after 2015, alongside the growth of fintech and artificial intelligence applications, with dominant themes including blockchain integration, risk analytics, and predictive modelling. Cross-disciplinary and cross-regional collaborations continue to expand. These findings provide a comprehensive overview of how big data has shaped financial studies and offer insights for potential future research directions.

The ecological crisis affecting Central Kalimantan reveals systemic environmental degradation, ranging from deforestation and river pollution to peatland destruction caused by massive extractive activities. The impact of this crisis extends beyond ecological damage, disrupting the social, cultural, and spiritual order of the Dayak Indigenous communities. This article aims to reflect on Dayak communal spirituality as a path toward ecological conversion in the light of the encyclical Laudato Si’. Employing a qualitative approach through theological–contextual hermeneutics and library research, this study examines the dialogue between Dayak cosmology, communal life values, and the Catholic Church’s vision of integral ecology. The findings indicate that Dayak communal spirituality affirms a reciprocal relationship among humans, nature, the community, and the Creator, which resonates with the call for ecological conversion articulated in Laudato Si’. This article argues that integrating Dayak communal spirituality into the Church’s pastoral praxis holds transformative potential in fostering ecological awareness, strengthening the inculturation of faith, and encouraging the active participation of the faithful in caring for our common home in a sustainable manner.

The concept of the Day of the LORD in the prophetic tradition of the Old Testament is often narrowly understood as a day of victory and salvation for Israel. However, the book of Amos offers a sharp critique of such an interpretation. This study aims to examine the eschatological meaning of the Day of the LORD in Amos 5:18–24 as a moment of judgment and restoration. This research employs a qualitative method with a biblical hermeneutical approach, particularly historical-contextual and theological analysis of Amos 5:18–24. The findings indicate that the Day of the LORD is portrayed as a divine event that brings judgment against social injustice, religious hypocrisy, and ethical deviation among the people of Israel. At the same time, the text opens the possibility of restoration through the demand for justice and righteousness as expressions of true worship. Therefore, Amos’s eschatology is not speculative about the future but functions as a prophetic critique that calls for repentance and social transformation. This study affirms that the Day of the LORD remains contextually relevant for the contemporary church in integrating faith, worship, and social justice as an inseparable unity.

Shaping central banking for sustainability has become increasingly relevant as climate change and the pursuit of sustainable development challenge the conventional scope of monetary policy. Green monetary policy reflects efforts to align central banking with environmental and economic objectives, yet the scholarly literature on this issue remains fragmented. This study employs a bibliometric approach using R Studio (Bibliometrix) to analyze publications indexed in Scopus from 2015 to 2025. The dataset comprises more than 1,200 documents with an annual growth rate of nearly 12%, signaling the rapid expansion of research in this field. Bibliometric techniques, including citation mapping, co-authorship analysis, and keyword co-occurrence, are applied to identify influential authors, sources, and thematic clusters. The results indicate a steady increase in international collaboration and a consolidation of research themes, reflecting the growing importance of sustainability in central banking discourse. This study is expected to contribute by providing a structured overview of the intellectual landscape of green monetary policy, clarifying its links with sustainable development and climate change, and offering guidance for future research and policy innovation in sustainable central banking.