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

Exports as a component of international trade contribute significantly to the development and growth of a country’s economy. In Indonesia, export activities are considered one of the key drivers in increasing national economic performance. This research seeks to evaluate the role of Indonesia’s exports to the United States within the Harmonized System (HS) Code 71 commodity classification, encompassing pearls, gemstones, precious metals, and jewelry products, in influencing Indonesia’s economic growth as reflected by Gross Domestic Product (GDP) at constant prices.The analysis focuses on three specific commodity groups: Pearls and Precious Stones (HS 71.01–71.05), Precious Metals and Metals Clad with Precious Metals (HS 71.06–71.12), and Jewelry and Related Articles (HS 71.13–71.18). A descriptive quantitative research design was employed, utilizing secondary time-series data collected for the 2015–2024 period. Data sources included the Indonesian Central Bureau of Statistics (BPS) and Trade Map. To assess the relationship between variables, this study adopted multiple linear regression analysis accompanied by classical assumption testing and hypothesis testing using both t-test and F-test procedures. The empirical findings demonstrate that export performance within the HS Code 71 category underwent considerable fluctuations throughout the observation period, reaching its peak in 2024.Furthermore, the statistical results indicate that each commodity sub-category contributes differently and exerts varying effects on Indonesia’s real GDP, both individually and collectively. The outcomes of this research are expected to provide useful references for government institutions in developing trade cooperation strategies and policy decisions, while also supporting business actors in strengthening the international competitiveness of Indonesian products.

This study aims to compare the performance of three boosting algorithms, namely XGBoost, LightGBM, and CatBoost, to predict the success of MSMEs. The data used consists of 250 entries with 13 attributes that include business actor characteristics, initial capital, industry experience, financial record-keeping, internet utilization, business planning, partnerships, and the target variable success. The pre-processing stage includes checking for missing values, standardizing numerical attributes, and splitting the data into 80% training data and 20% test data. The evaluation results show that XGBoost provides the best performance with an accuracy of 0.92, precision of 0.8333, recall of 0.8333, F1-score of 0.8333, and ROC-AUC of 0.9715. LightGBM has an accuracy of 0.88, while CatBoost achieves an accuracy of 0.90. The research results show that XGBoost has the best ability to classify successful and unsuccessful MSMEs. The feature importance results also show that the success of MSMEs is influenced by a combination of several key factors. This research emphasizes that boosting algorithms are effectively used as predictive models to support the analysis of MSME success.

The development of digital technology has driven significant economic transformation in various countries, including Muslim countries. Economic digitalization offers various opportunities, such as increased transaction efficiency, expanded market access, and strengthened financial inclusion. However, this development also presents various challenges, such as low Islamic financial literacy, the risk of technology misuse, and the emergence of economic practices inconsistent with Islamic principles. This study aims to analyze the role of Islamic economic values ​​in supporting the economic resilience of communities in Muslim countries in the digital era. The study used a descriptive qualitative approach with library research methods. Data were obtained from various literature sources, such as scientific journals, books, academic articles, and reports relevant to Islamic economics, economic resilience, and the digital economy for the 2021–2026 period. Data analysis was conducted using content analysis techniques through the stages of data reduction, data presentation, and drawing conclusions. The results show that Islamic economic values, such as justice, honesty, trustworthiness, and the prohibition of riba (usury), gharar (gharar), and maysir (gambling), play a crucial role in creating more transparent, ethical, and sustainable digital economic activities. Furthermore, the development of Sharia-compliant fintech, Sharia-compliant digital financial services, and Sharia-compliant business platforms also supports increased financial inclusion and community economic resilience. Therefore, integrating digital technology and Islamic economic values ​​can be a strategy for strengthening the economic resilience of communities in Muslim countries.

The purpose of this study is to analyze various forms of low student concentration behavior during learning activities at Sungai Tarab Elementary School, as well as the factors underlying these conditions in classroom learning processes. This research uses a qualitative method with a case study design, focusing on an in-depth understanding of phenomena occurring in the field. The selection of research informants uses a purposive sampling technique, where informants are determined based on specific criteria related to the research problem to ensure that the data obtained is valid and reliable. Data were collected through three techniques, namely in-depth interviews, observation, and document study. The data were analyzed using the Miles and Huberman model, which includes data reduction, data display, and conclusion drawing. The results of the study show that forms of low student learning concentration behavior include walking around the classroom, talking with friends during lessons, and disturbing classmates when they feel bored and uninterested in classroom learning activities. This condition indicates the need for more interactive teaching strategies and more effective classroom management. It is important for teachers to improve student focus through varied and engaging learning approaches, as well as strengthening classroom discipline. In addition, support from the school environment and parents also contributes to reducing these behaviors sustainably.

The achievement of the Sustainable Development Goals (SDGs) in Indonesia continues to face various challenges, particularly those related to poverty, social inequality, and increasing environmental degradation caused by climate change. These conditions highlight the need for an instrument capable of integrating social welfare objectives with environmental sustainability. This article aims to analyze the role of green zakat as an Islamic social finance instrument in supporting the achievement of the Sustainable Development Goals (SDGs). The study employs a descriptive qualitative approach using a library research method through the collection and analysis of various sources, including academic journals, books, official reports, and other relevant documents related to zakat, Islamic social finance, green economy, and sustainable development. The findings indicate that green zakat has significant potential to support the achievement of the SDGs through environmentally based economic empowerment programs, such as sustainable agriculture, reforestation, waste management, and the development of eco-friendly businesses for vulnerable communities. In addition to contributing to poverty alleviation, green zakat can support climate change mitigation efforts and environmental conservation in line with the principles of maqashid sharia. However, its implementation still faces several challenges, including limited public literacy, inadequate regulatory support, and suboptimal governance of environmental-based programs. Therefore, stronger collaboration among government institutions, zakat management organizations, and society is needed to develop a more effective green zakat model. Future studies are recommended to conduct empirical research to measure the impact of green zakat implementation on specific and measurable SDG indicators.

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

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

This study examines the effectiveness of the GOOL (Dukcapil Go Online) service in accelerating the issuance of birth certificates at the Population and Civil Registration Office of Probolinggo City. GOOL is a digital-based civil administration service innovation that allows residents to process civil documents without visiting the office in person. This study employed a descriptive qualitative method, with data collected through in-depth interviews, observation, and documentation. Effectiveness indicators were based on Campbell's (2014) theory, covering: program success, goal achievement, community satisfaction, and overall objective attainment. The findings indicate that the GOOL service is generally effective in expediting birth certificate issuance. Supporting factors include collaboration with healthcare facilities (Indonesian Midwives Association and hospitals), an integrated 3-in-1 service program, and adequate technological infrastructure. Inhibiting factors include technical difficulties during document uploads, unstable internet connections, and limited digital literacy among some residents.

The rapid development of digital technology has transformed the way organizations conduct business activities and manage human resources. These changes require organizations to have employees who are not only competent but also possess a high level of employee engagement to adapt effectively to the dynamic work environment. This study aims to analyze the role of transformational leadership in enhancing employee engagement among employees of Ranch Market in the digital era. Transformational leadership is regarded as a leadership style that inspires, motivates, and encourages employees to develop their potential through a clear vision, effective communication, and individualized consideration. This research employed a quantitative approach by collecting data through questionnaires distributed to Ranch Market employees. Data analysis was conducted to examine the relationship between transformational leadership dimensions and employee engagement, which includes vigor, dedication, and employee involvement in their work. The findings indicate that transformational leadership plays a positive and significant role in improving employee engagement. Leaders who are able to inspire, build trust, encourage innovation, and support employee development have been proven to strengthen employees’ attachment to the organization. Furthermore, transformational leadership fosters a supportive and adaptive work environment, enabling employees to respond effectively to technological changes and evolving work systems. The results suggest that the implementation of transformational leadership can serve as an effective strategy for organizations in addressing the challenges of the digital era while promoting productivity, employee commitment, and sustainable organizational performance. Therefore, transformational leadership remains a crucial factor in maintaining a highly engaged workforce and achieving long-term competitive advantage.

This study aims to analyze the effect of artificial intelligence (AI)-based demand forecasting and big data analytics on inventory optimization through prediction accuracy among e-commerce actors or marketplace sellers in Curug. This research employed an explanatory quantitative approach involving 100 respondents selected through purposive sampling based on predefined criteria relevant to the research objectives. Data were collected using a structured Likert-scale questionnaire and analyzed using Structural Equation Modeling Partial Least Squares (SEM-PLS) by evaluating the measurement model, structural model, and mediation effects. The findings reveal that AI-based demand forecasting and big data analytics have a positive and significant effect on prediction accuracy. Furthermore, prediction accuracy has a positive and significant effect on inventory optimization and significantly mediates the relationship between AI-based demand forecasting, big data analytics, and inventory optimization. These findings indicate that the integration of AI and big data analytics contributes to more accurate demand prediction, leading to improved inventory management performance. The implication of this study suggests that e-commerce actors should improve data quality, analytical capability, and the adoption of predictive technologies to support more accurate, efficient, and responsive inventory decisions, thereby enhancing operational performance and competitiveness in responding to dynamic market demand.      

Background: Low immunization coverage and exclusive breastfeeding coverage are problems in various regions. This program is caused by a lack of maternal knowledge and family support. This problem increases the risk of infection, growth disorders, and impacts the health status of infants. Therefore, the IMASI MOVEMENT (Immunization and Exclusive Breastfeeding Movement) is needed to increase community knowledge and participation regarding infant and toddler health. Method: The methods used include interactive counseling, demonstrations of breastfeeding techniques according to the pink book (KIA), distribution of leaflets, and evaluation through pre-tests and post-tests. Evaluation was carried out on aspects of structure, process, results, and impact of the activity. Results: The results of the activity showed an increase in participants' knowledge scores by ?50–60% after education. Participant attendance reached ?85% of the target, and there was an increase in participation in integrated health post activities compared to the previous month. Discussion: The increase in knowledge scores in the post-test results compared to the pre-test indicates that the educational intervention is effective in increasing mothers' understanding of the benefits of exclusive breastfeeding and the importance of immunization. These findings indicate that community-based health education is an effective strategy to improve maternal health literacy and has the potential to increase the coverage of exclusive breastfeeding and complete basic immunization. Conclusion: This program has proven effective in increasing awareness and health behavior of mothers and toddlers as an effort to prevent stunting and infectious diseases.

Background: Non-communicable diseases (NCDs) are a leading cause of morbidity and mortality worldwide and pose a significant public health challenge in Indonesia. Indonesian Army (TNI AD) personnel are at risk of developing NCDs due to operational stress, smoking habits, unhealthy dietary patterns, sleep disturbances, and insufficient physical activity outside working hours. Health education is an effective health promotion strategy to improve awareness and encourage healthy lifestyle behaviors for NCD prevention. This community service program aimed to improve the knowledge of Indonesian Army personnel regarding the prevention of non-communicable diseases through health education. Methods: The program was conducted at the 18/YKR Combat Engineer Battalion, Gianyar, Bali, in August 2024 and involved 40 Indonesian Army personnel. The intervention consisted of preparation, health education delivered through lectures and interactive discussions, and evaluation using pre-test and post-test questionnaires to assess participants' knowledge before and after the educational session. Results: Before the intervention, 29 participants (72.5%) had fair knowledge and 11 (27.5%) had good knowledge regarding NCD prevention. Following the health education session, the number of participants with good knowledge increased to 14 (35.0%), while those with fair knowledge decreased to 26 (65.0%). Most participants also demonstrated improved post-test scores, indicating enhanced understanding of NCD risk factors and preventive measures. Conclusion: Health education effectively improved participants' knowledge regarding NCD prevention. Regular and sustainable educational programs in military settings are recommended to strengthen awareness, promote healthy lifestyle practices, and support the prevention of non-communicable diseases among Indonesian Army personnel.

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.

This research was conducted to examine the implementation of the Accurate system in recording cement purchase transactions at PT. XYZ and to evaluate its effectiveness in supporting the company's operational activities. A qualitative approach was employed, emphasizing the analysis of descriptive data in the form of words and documents. The study was carried out using a case study method to obtain an in-depth understanding of the phenomenon being investigated. During the internship period, data were collected through interviews, observations, and documentation techniques. Research shows that the Accurate system helps companies record purchases in a more organised, faster and more accurate way than the manual method using Microsoft Excel. The Accurate system can automatically record purchase invoices, business debts, suppliers and the inventory of goods. This makes the accounting department more efficient. Accurate helps to reduce the risk of recording errors and makes it easier to find transaction data. However, when it is being used, there are still several problems, such as delays in entering transaction data, mistakes when entering names or account numbers, and being unable to change invoices after a certain amount of time. To get around these problems, the company checks the transaction data again and makes sure that the recording process is more consistent. Research results show that the Accurate system is effective in PT. XYZ can help make sure that the process of recording cement purchases is effective and efficient. It can also help make sure that financial information is more accurate and joined up.

Changes in work patterns driven by digital technology development and post-pandemic dynamics have encouraged organizations to implement Work From Home (WFH) as an alternative working system. This policy has attracted considerable attention because it affects employee productivity and well-being, which are essential for organizational performance. However, previous studies have reported inconsistent findings regarding the effectiveness of WFH. Therefore, this study aims to analyze the impact of WFH on employee productivity and well-being. A qualitative approach was employee using the Systematic Literature Review (SLR) method by reviewing 19 scientific articles related to productivity, job satisfaction, work-life balance, and mental health. The findings show that 89,5% of articles reported positive effects of WFH through greater flexibility, work comfort, time efficiency, and improved work-life balance, wich contribute to higher productivity and well-being. Meanwhile, 10,5% identified negative effects due to inadequate work facilities, internet disruptions, burnout, and coordination difficulties. These findings indicate that WFH effectiveness is influenced by technological support, job characteristics, and organizational culture. The study implies that organizations should adopt adaptive work policies, strengthen digital infrastructure, and provide mental health support to optimize employee productivity and well-being.

This study investigates why applicants who have passed the initial admissions stage do not proceed to final enrolment in an Indonesian private higher education context. While student recruitment is often measured by the number of applications received, institutional sustainability depends on the ability to convert applicants into enrolled students. This study employed a descriptive survey design supported by thematic analysis of open-ended responses. Data were collected from 179 applicants who had participated in the admissions process but did not complete final re-registration. The data were analyzed using frequencies, percentages, and thematic categorization. The findings show that conversion failure is influenced by several factors, including waiting for public university admission results, financial constraints, postponement of study plans, family considerations, uncertainty about the institution or study programmed, preference for other institutions, and campus accessibility. A key finding reveals that 58.1% of respondents would reconsider enrolment if scholarships, tuition discounts, or other financial assistance were available. These findings highlight the need for a conversion management strategy through targeted financial aid, transparent cost communication, family engagement, and proactive applicant follow-up.  

The phenomenon of infinite scrolling in digital media reflects a fundamental shift in how modern individuals experience spirituality in the digital era. The continuous flow of information creates new spaces for the search for meaning, including the human relationship with the Divine, while simultaneously introducing challenges in the form of constant distraction that disrupts deep reflection. This study aims to analyze how infinite scrolling contributes to a crisis of spiritual awareness and how digital technology functions as an ambivalent space between distraction and reflection. The research employs a descriptive qualitative method with a library research approach, using relevant academic literature and religious documents. The findings indicate that intensive digital engagement reduces opportunities for contemplation, weakens reflective capacity, and produces shallow and fragmented spiritual experiences. However, digital technology also provides broad access to spiritual resources that can be used constructively. This study concludes that the crisis of spiritual awareness in the digital era is influenced not only by individual factors but also by technological structures shaping human attention. Therefore, digital literacy that includes ethical and spiritual dimensions is essential to ensure technology supports the search for meaning.  

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

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