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King Royal Hotel Restaurant still applies manual sales transaction recording, causing data management and revenue report preparation to be less than optimal. This study aims to design and implement a Flutter-based sales and revenue reporting application that utilizes local storage as a data storage mechanism on the device. The system development method used is the Waterfall method, which includes the stages of requirements analysis, design, implementation, testing, and maintenance. The application was developed using the Flutter framework with the Dart programming language and utilizes the shared_preferences and hive packages for local data management on the device without requiring an internet connection or external database server. In addition, the application is designed to be easy for restaurant employees to use in recording daily transactions more quickly and accurately. Testing was conducted using the Black Box Testing method, which showed that all application features functioned according to functional requirements. The results of the study indicate that the Flutter-based application with a local storage approach is capable of improving transaction recording efficiency and generating revenue reports automatically at King Royal Hotel Restaurant.

Implementing Standard Operating Procedures (SOPs) for fall risk is a crucial component of pediatric patient safety in inpatient wards. However, nurses' implementation of SOPs is not always optimal, especially for patients at high risk of falling. Inappropriate SOP implementation has the potential to increase fall risk incidents in hospitals. To describe the results of observations of nurses implementing SOPs for fall risk and efforts to improve implementation through resocialization, supervision, and strengthening the oversight system. This case study is an observational study of nurses implementing SOPs for fall risk in the Alfarisi Ward, Jakarta Islamic Hospital, Sukapura. Observations were conducted on nurses providing nursing interventions to two pediatric patients: one with a low risk of falling and one with a high risk of falling. Activities included observation of nurses' practice, resocialization of SOPs for fall risk, three- day implementation supervision, development of a supervision schedule, and proposals for SOP revisions based on evidence-based practice. Data collection used observation sheets, fall risk assessment instruments, and nursing documentation. After three days of resocialization and supervision, the implementation of SOPs for fall risk in low-risk patients was in accordance with the SOPs. However, in high-risk patients, SOP implementation is still limited to displaying yellow triangle signs and locking bed rails, while other interventions have not been optimally implemented. These findings form the basis for developing a structured supervision schedule. Nurses' implementation of fall risk SOPs is optimal in low-risk patients, but not optimal in high-risk patients. Resocialization, ongoing supervision, developing a supervision schedule, and proposing SOP revisions are important strategies for improving nurse compliance and pediatric patient safety.

Implementing Standard Operating Procedures (SOPs) for fall risk is a crucial component of pediatric patient safety in inpatient wards. However, nurses' implementation of SOPs is not always optimal, especially for patients at high risk of falling. Inappropriate SOP implementation has the potential to increase fall risk incidents in hospitals. To describe the results of observations of nurses implementing SOPs for fall risk and efforts to improve implementation through resocialization, supervision, and strengthening the oversight system. This case study is an observational study of nurses implementing SOPs for fall risk in the Alfarisi Ward, Jakarta Islamic Hospital, Sukapura. Observations were conducted on nurses providing nursing interventions to two pediatric patients: one with a low risk of falling and one with a high risk of falling. Activities included observation of nurses' practice, resocialization of SOPs for fall risk, three- day implementation supervision, development of a supervision schedule, and proposals for SOP revisions based on evidence-based practice. Data collection used observation sheets, fall risk assessment instruments, and nursing documentation. After three days of resocialization and supervision, the implementation of SOPs for fall risk in low-risk patients was in accordance with the SOPs. However, in high-risk patients, SOP implementation is still limited to displaying yellow triangle signs and locking bed rails, while other interventions have not been optimally implemented. These findings form the basis for developing a structured supervision schedule. Nurses' implementation of fall risk SOPs is optimal in low-risk patients, but not optimal in high-risk patients. Resocialization, ongoing supervision, developing a supervision schedule, and proposing SOP revisions are important strategies for improving nurse compliance and pediatric patient safety.

Schizophrenia is a severe mental disorder often accompanied by auditory hallucinations and has a significant impact on patients’ psychosocial functioning. This condition can reduce medication adherence, thereby increasing the risk of relapse. In this context, the role of caregivers is crucial in supporting treatment success. This study aims to describe psychiatric nursing care for patients with auditory hallucinations in improving medication adherence through caregiver involvement. The method used is a case study with a nursing process approach, including assessment, nursing diagnosis, planning, implementation, and evaluation. Interventions focus on hallucination management, psychoeducation, and caregiver involvement in care. The results show an increase in patients’ and families’ knowledge regarding the illness and its treatment, improved medication adherence, and enhanced patient ability to control responses to auditory hallucinations. Caregiver involvement has been shown to assist in supervision and providing support to patients. Therefore, comprehensive psychiatric nursing care through hallucination management, psychoeducation, and caregiver involvement is effective in improving medication adherence and controlling symptoms in patients with auditory hallucinations.

This study examines the role of QRIS as a non-cash payment system in supporting the digitalization of micro, small, and medium enterprises (MSMEs) in Indonesia. The rapid growth of digital transactions has encouraged MSMEs to adopt more efficient, practical, and secure payment systems. This study aims to integrate the benefits and barriers of QRIS, map its position in the MSME digitalization process, and develop a conceptual framework for future research. A descriptive qualitative approach with a literature study design was employed, utilizing relevant academic sources related to QRIS, MSMEs, digital payments, and user behavior. Data were analyzed using content analysis by comparing, interpreting, and synthesizing findings from selected literature. The results indicate that QRIS contributes to simplifying transactions, improving operational efficiency, reducing cash dependency, and supporting MSMEs’ adaptation to digital payment trends. However, its implementation remains constrained by factors such as digital literacy, user readiness, trust, and infrastructural limitations. The study also highlights that QRIS adoption is influenced not only by technological advantages but also by perceived value and user trust. Therefore, QRIS can be positioned as a strategic instrument in accelerating the digital transformation of MSME payment systems. The findings imply the need for further empirical research to examine the direct impact of QRIS adoption on MSME performance and sustainability.

Malnutrition among children under five remains a major public health concern, particularly in areas with limited access to nutritious food and health services. This study aimed to determine the prevalence of stunting, underweight, and wasting among children under five in Kuatnana District, South Central Timor Regency in 2025. This research used a descriptive cross-sectional design with secondary data obtained from nutrition program reports at Tetaf Public Health Center. The sample included all children aged 0–59 months, totaling 1,179 children. Data were analyzed using univariate analysis to calculate frequency distribution and percentages based on WHO anthropometric indicators (z-score). The results showed that the prevalence of stunting was 44.78%, underweight 40.46%, and wasting 14.76%. Most children had normal nutritional status based on weight-for-height index (88.38%), although a considerable proportion still experienced undernutrition. In conclusion, malnutrition among children under five in Kuatnana District remains high, particularly stunting and underweight. Integrated interventions are needed, including improving caregiving practices, increasing access to nutritious food, and strengthening health services to reduce malnutrition sustainably.

This study examines public service inefficiency in Indonesia during the digital era and its implications for achieving governmental organizational goals. Digital transformation through the implementation of e-government and technology-based public services is expected to improve effectiveness, transparency, and service quality. However, several challenges remain, including weak system integration, rigid and hierarchical bureaucratic structures, limited human resource competencies, lack of sustainable service innovation, and inadequate supervision mechanisms. This research employs a literature study method with a descriptive-qualitative approach by analyzing various academic sources such as journals, books, and relevant policy documents. The findings indicate that digitalization has not fully reduced inefficiency due to structural barriers, organizational behavior issues, and the lack of an adaptive work culture. Therefore, strengthening human resource competencies, improving digital system integration, encouraging continuous service innovation, and enhancing supervision are necessary to ensure that digital public services effectively support the achievement of organizational goals.

Pre-Conference and Post-Conference are part of the direction function in nursing management which play an important role in maintaining communication and coordination. However, their implementation in the Al-Ghifari Room at the Islamic Hospital Jakarta Sukapura has not run optimally. This scientific work aims to determine the application of Pre Conference and Post Conference in improving nursing care. The method used is an implementation study with a Plan of Action (POA) approach through education, roleplay and mentoring during January 15-17 2026. Data collection was carried out through observation and interviews. The implementation results show an increase in Pre Conference and Post Conference implementation from 50% on the first day to 83% on the third day. This shows that implementing Pre Conference and Post Conference in a structured manner can improve communication and coordination between nurses. It can be concluded that the implementation of the Pre Conference and Post Conference in the Al Ghifari room at the Islamic Hospital Jakarta Sukapura has increased.

The development of transportation technology encourages companies to improve vehicle monitoring systems to be more effective and measurable, particularly in addressing speeding violations that can increase accident risks and reduce operational efficiency. This study aims to analyze the implementation and effectiveness of using a buzzer integrated with the Teltonika FMB910 GPS module as a vehicle speed warning indicator at PT. Lacak Cipta Aktual. This research employs a qualitative descriptive method with a case study approach, where data were collected through observation, interviews, and documentation during a one-month industrial internship and analyzed using the Miles and Huberman model, including data reduction, data presentation, and conclusion drawing. The results show that the system is capable of detecting overspeed conditions and automatically activating the buzzer when the vehicle speed exceeds the predefined threshold of 80 km/h. Based on logbook data, the system achieved a success rate of 93.9% in responding to overspeed conditions. The use of a buzzer is proven effective in providing immediate warnings to drivers, thereby improving driver awareness and speed control. However, the system still has limitations, particularly its dependence on GPS signal stability and vehicle electrical conditions. Overall, this study demonstrates that the integration of GPS and a buzzer provides a simple, effective, and cost-efficient solution to enhance driving safety and fleet management efficiency.

The advancement of Artificial Intelligence (AI) has brought significant changes to various aspects of life, including the field of education, particularly Islamic Education. This study aims to explore various AI-based learning strategies that can be implemented to create a more effective, interactive, and contemporary learning process. The method employed in this study is a literature review by examining various scholarly sources, such as journals, books, and academic articles discussing the implementation of AI in education. The findings indicate that the integration of AI can be realized through personalized learning tailored to students’ needs, the use of chatbots as learning assistants, the analysis of students’ progress and learning outcomes, as well as the utilization of technology-based learning media. These strategies are not only capable of improving students’ cognitive aspects but can also strengthen the internalization of Islamic values when applied appropriately and systematically. Furthermore, this study emphasizes that teachers’ technological competence, infrastructure readiness, and the development of an adaptive curriculum are crucial factors in the successful implementation of AI-based learning within the context of Islamic Education.

National milkfish aquaculture production in 2024 reached 792,864 tons, highlighting the strategic role of this commodity in supporting the economy of coastal communities. central java,as one of the main contributors, has significant potential for pond development, including in Ujungwatu Village, Jepara Regency. However, pond management still faces challenges regarding human resource (HR) quality and the optimal utilization of technology. This community service program aims to enhance students’ capacity through outreach and training on Internet of Things (IoT)-based milkfish pond development as an effort to strengthen HR at the Sidomaju 2 SME. Implementation methods include the stages of observation and problem identification, work program planning, WebGIS design, IoT outreach and implementation, and evaluation. The materials covered included an introduction to IoT concepts based on ESP8266, pond monitoring, milkfish feed management, and the implementation of WebGIS as a digital mapping system for the Kalingga milkfish ponds.The activity was attended by 20 students from MA NU Ujungwatu and was conducted in a participatory manner through experiential learning. The results of the activity demonstrated an increase in students’ understanding of the application of technology in milkfish farming, as well as heightened awareness of the importance of efficient and sustainable pond management. The main output of the program is the Kalingga Milkfish Pond WebGIS, which can be utilized as a digital medium for education and monitoring of pond areas. This program contributes to improving students’ technological literacy while supporting the strengthening of pond operational systems based on digital innovation.

The development of digital technology and artificial intelligence (AI) has increased youth interaction in cyberspace, while also elevating the risk of digital crimes, both as perpetrators and victims. This community service program AIms to strengthen legal awareness and AI-based self-protection skills among students of SMKN 1 Kaligondang, \Purbalingga Regency. The implementation methods include interactive workshops, digital security trAIning, case simulations, and the use of a mini AI assistant as a preventive educational tool. Evaluation was conducted through pre-test and post-test assessments, participatory observation, and participant reflection. The results indicate an improvement in participants’ understanding of digital law, particularly regarding the provisions of the Law on Electronic Information and Transactions and its relevance to the Indonesian Criminal Code. In addition, participants’ technical skills in securing digital accounts, identifying phishing attempts, and responding to cyber risks have also improved. The use of AI has proven to enhance participation and contextual understanding. Overall, the program is effective in fostering legal awareness, improving digital protection capabilities, and shaping responsible behavior in cyberspace.

The moral crisis faced by the Indonesian nation is a serious challenge that can threaten the integrity and sustainability of the country's future. Phenomena such as corruption, intolerance, and weakening social integrity are clear evidence of the declining implementation of the noble values ​​contained in Pancasila. Pancasila Education has a strategic position in building national character and instilling moral values, especially in the younger generation. This article aims to examine the moral crisis in Indonesia and analyze the role of Pancasila Education in providing solutions to these problems. This study uses a literature research method to assess the relevance of Pancasila values ​​and the effectiveness of the implementation of Pancasila Education. The study results show that Pancasila values ​​such as religiosity, humanity, unity, democracy, and social justice have great potential in forming moral individuals. However, there are various challenges, including low student interest, lack of innovation in teaching, and the influence of globalization that can hinder the optimization of Pancasila Education. To overcome these obstacles, strategic steps are needed such as strengthening the curriculum, improving the quality of educators, and collaboration between families, schools, and the community. With maximum implementation, Pancasila Education can be the main key to rebuilding the nation's morality.

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by impairments in social interaction, communication difficulties, and restricted and repetitive behaviors. In addition to these core symptoms, children with ASD often experience gastrointestinal disturbances that are thought to be related to the gut–brain axis. One non-pharmacological intervention that has been widely studied to reduce ASD symptoms is the gluten-free casein-free (GFCF) diet. However, evidence regarding its effectiveness in improving behavioral symptoms remains inconsistent. This study aims to review previous research on the impact of gluten and casein consumption on behavioral symptoms in children with ASD using a narrative literature review approach. Literature searches were conducted in PubMed, ScienceDirect, and Google Scholar for articles published between 2014 and 2024 using the keywords Autism Spectrum Disorder (ASD), behavior, GFCF diet, gluten, and casein. The review results indicate that most studies report potential benefits of the GFCF diet in improving certain behavioral symptoms in children with ASD, particularly hyperactivity, behavioral problems, stereotypical behavior, attention, and cognitive function. Some studies also show improvements in autism evaluation scores after dietary implementation over a specific period. However, findings remain inconsistent due to differences in study design, sample size, intervention duration, dietary adherence, and the heterogeneity of ASD characteristics among children. In conclusion, the GFCF diet has potential as a complementary intervention to improve certain behavioral symptoms in children with ASD, but further high-quality studies with larger samples are needed to confirm its effectiveness more consistently.

The use of AI in today’s era has significantly expanded across various sectors of life, including the education sector. The use of AI in education is quite helpful in improving the quality of learning by providing innovative teaching materials, real-time feedback, and fostering student creativity; however, in practice, there are numerous instances of misuse of AI, such as for criminal activities. Such practices are clearly counterproductive to the learning process and threaten the quality of the nation’s future generations. The objective of this community service initiative is to deepen students’ understanding of AI from a legal perspective and to enhance the quality of learning. The methods employed include participatory-based education, encompassing lectures, Q&A sessions, and statements of commitment. The results of this community service initiative include an enhanced understanding of AI and its proper use. Additionally, students have committed to using AI ethically, in accordance with existing legal frameworks, and with a focus on improving the quality of learning without compromising their foundational and social skills, so that in the future they can compete effectively both nationally and internationally.

This study aims to analyze student time management and its relationship to academic productivity among students in the Economics Education Study Program, Jambi University, class of 2023. This study used a qualitative approach with data collection techniques through in-depth interviews with a number of students selected purposively. The results showed that most students were unable to manage their time optimally, as reflected in the habit of procrastinating on assignments, a lack of structured planning, and an imbalance between academic and non-academic activities. Many students tended to work on assignments only close to the deadline and found it difficult to maintain a consistent schedule. Conversely, students who had a more structured time plan, such as compiling daily to-do lists and setting priorities, demonstrated better academic productivity. They were able to complete assignments on time, produce better quality work, and were more active in the learning process and class discussions. This study confirms that effective time management plays a crucial role in improving student academic productivity, both in terms of the quality of work results and the timeliness of assignment completion. Therefore, more intensive efforts are needed to increase students' awareness and skills in time management, so they can achieve optimal learning outcomes, reduce stress levels, and face academic demands more efficiently. In this context, developing good time management strategies is essential to help students maximize their academic potential.

This research is motivated by the increasing role of Artificial Intelligence (AI) in organizational transformation and the crucial function of leadership in ensuring its successful implementation. The primary objective of this study is to analyze the relationship between leadership, AI integration, and organizational performance, as well as to identify various challenges and supporting factors in the process. This study employs a systematic literature review (SLR) method by examining 30 relevant, reputable scientific articles from the Scopus and Google Scholar databases within the 2020–2026 timeframe through selection, evaluation, and thematic synthesis processes. The results indicate that AI integration significantly contributes to improving operational efficiency, data-driven decision-making quality, and organizational innovation. However, this success heavily depends on the role of adaptive, transformational, and digitally-oriented leadership capable of steering the technological vision. Conversely, major challenges were identified, such as employee resistance, limited digital competencies, and ethical issues surrounding data privacy. This study contributes to strengthening the conceptual understanding of leadership's role as a bridge between technology and organizational performance, while offering practical implications for management in designing effective, inclusive, and sustainable digital transformation strategies.

Stunting is a major indicator of chronic nutritional problems that affect children’s growth and development. In Indonesia, stunting prevalence remains high and is a national public health concern. This study aimed to analyze the relationship between socio-demographic factors and stunting incidence among toddlers in the working area of the Tanoh Alas Health Center, Southeast Aceh Regency, in 2025. This study used an analytical quantitative design with a cross-sectional approach. The sample consisted of 93 mothers with children under five selected through simple random sampling. Data were collected using questionnaires and observation sheets from June 19 to July 3, 2025. Statistical analyses included Chi-Square and multiple logistic regression tests. The results showed that 33.3% of children were stunted, 34.4% had poor access to health services, and 68.8% lived in unhealthy housing conditions. Bivariate analysis indicated significant relationships between maternal age (p = 0.007), maternal education (p = 0.012), maternal occupation (p = 0.002), access to health services (p = 0.001), family income (p = 0.032), and healthy housing conditions (p = 0.007) with stunting incidence. Multivariate analysis revealed that access to health services was the strongest factor associated with stunting (p = 0.010; OR = 4.294; 95% CI: 1.411–13.06). Children with limited access to health services were 4.3 times more likely to experience stunting. The study recommends improving the accessibility and quality of maternal and child health services and strengthening multisectoral interventions and health education programs to prevent stunting.

Waqf is one of the instruments of Islamic economics that holds great potential for improving community welfare and promoting sustainable socioeconomic development. However, this potential has not been fully realized due to low public participation in waqf. This situation indicates that messages and education regarding waqf have not been effectively communicated to the general public. This study aims to analyze how the distribution, promotion, and advertising of waqf messages are conducted to the public through a case study of the Indonesian Waqf Board in South Tangerang City. The method used is a descriptive qualitative approach with a constructivist paradigm. Data collection was conducted through interviews, observations, documentation, and literature review to obtain a comprehensive picture of the waqf communication strategies implemented. The results of the study indicate that the distribution of waqf messages is still limited to seminars, workshops, and incidental activities, resulting in uneven information reach. Waqf promotion has also not been conducted consistently and remains conventional, while the use of digital advertising and social media has not been maximized. The main obstacles faced include low public literacy regarding waqf, a lack of professionalism among waqf administrators, and minimal public trust in waqf management. This study concludes that the development of waqf requires modern communication strategies through the digitization of messages, consistent promotion, increased institutional transparency, and intensive use of social media in order to significantly increase public participation in waqf.

The acceptance sampling test of coffee cherries is an important quality control stage in Arabica coffee processing, yet operational evidence at the estate level remains limited. This study aimed to analyze the implementation of acceptance sampling for coffee cherries and to identify the proportions of normal and defective cherries as a basis for improving harvest quality. The research was conducted at an Arabica coffee estate in Situbondo by observing monthly harvest samples from April to August 2024 to classify cherry color (red, partially ripe, green, and black) and fruit density after soaking (partially empty, empty, single bean, and double bean). The results showed that the cherry composition consisted of 93.63% red, 3.54% partially ripe, 0.09% green, and 2.84% black cherries. The density test results indicated 4.30% partially empty cherries, 0.79% empty cherries, 10.27% single-bean cherries, 84.58% double-bean cherries, and 4.00% coffee berry borer-infested cherries. These findings indicate that acceptance sampling is useful for identifying harvest lots that do not meet quality standards and can serve as a basis for improving red cherry picking practices, harvest timing, and field supervision.