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This research is motivated by the problems in manual attendance systems at schools, which remain vulnerable to fraud, time-consuming, and inefficient. The expected solution is to develop an automated attendance system based on face recognition that can operate in realtime with high accuracy. The research object is vocational high school students, with the applied method implementing the YOLO v10 algorithm for face detection, followed by the face_recognition library for identification. The instruments used include an Imou CCTV camera as the input device, a mid-range laptop as the hardware platform, and Python with SQLite as the software environment for data processing and attendance storage. The results show that the developed system achieved an average face detection accuracy of 96% under normal lighting and 91% under low lighting, with an average processing speed of 27 FPS. The implementation of an anti-duplication feature also ensured data validity by allowing each student to be recorded only once per day. In conclusion, the use of YOLO v10 in face-based attendance proved to be effective, efficient, and capable of reducing fraud. The implication of this study is that the system can be applied in both Islamic boarding schools and general schools as a modernization of attendance systems, with a recommendation for further development through web-based application and cloud database integration.

Sleep duration and sleep quality are essential physiological needs that play a significant role in the emotional and behavioral development of children aged 3–6 years. Adequate sleep supports brain development, cognitive functioning, emotional regulation, and social interaction skills in early childhood. Conversely, poor sleep duration and low sleep quality may negatively affect children’s attention, mood stability, and ability to interact socially with peers and caregivers. This article is a literature review using a systematic review approach that analyzes 10 scientific articles published between 2016–2026 to evaluate the relationship between sleep duration and sleep quality with emotional and behavioral problems in preschool children. The article selection process followed the PRISMA flow diagram, with articles sourced from Google Scholar, PubMed, and ScienceDirect databases. The findings consistently indicate that inadequate sleep duration and poor sleep quality are associated with increased emotional and behavioral problems, including hyperactivity, anxiety, emotional dysregulation, and difficulties in social interaction among children. Furthermore, sleep disturbances were found to negatively influence children’s emotional self-regulation abilities, which are crucial for adaptive behavior. Therefore, ensuring adequate sleep duration and improving sleep quality are important strategies to support optimal emotional and behavioral development in preschool-aged children.

Dijkstra's algorithm is one of the algorithms in graph theory that is used to solve the problem of the shortest path of a graph at each vertex that has a non-negative value. This algorithm was discovered by Edsger Wybe Dijkstra, a scientist from the Netherlands. The search for the shortest route for product delivery can be calculated through the application of the Dijkstra algorithm in the problem being faced. The problem of decision making for selecting the shortest route is still manual, so it experiences several obstacles, including the absence of a systematic and computerized system to assist the decision-making process in determining the route for shipping goods, the determination of shipping routes still depends on manual estimates so that the time taken between deliveries becomes inconsistent, the operational costs of shipping are relatively high because there is no optimal route determination system. Facing these problems, a system is needed that can minimize delays and increase effectiveness in shipping goods, namely determining the shortest route using the Dijkstra algorithm. This system works by finding various alternative routes for shipping goods at PT AMSA to address various structured and unstructured problems using data and models. To process this data and models, a method called the Dijkstra algorithm is required. Based on the description above, researchers will create a method for determining the shortest route for shipping goods at PT AMSA using the Dijkstra algorithm to facilitate the company's process of determining the shortest route.

Early marriage is a social phenomenon that remains prevalent in Indonesia and gives rise to various problems in family life. This article aims to analyze the implications of early marriage in light of the Code of Canon Law (CCL) Nos. 1055 and 1056 in the context of Catholic couples. This study employs a qualitative method with a descriptive-analytical approach through a literature review of books, scientific journals, and Church documents. The findings indicate that the CIC affirms marriage as a sacred covenant between a man and a woman oriented toward the bonum coniugum (the good of the couple), openness to children, and characterized by unity and indissolubility. In the context of early marriage, various implications were identified, such as emotional immaturity that triggers domestic conflicts, a high risk of divorce, low levels of education, and impacts on the health of mothers and children. Additionally, early marriage also indicates a weak understanding of the sacramental dimension and family responsibilities, including childrearing. Thus, CIC Nos. 1055 and 1056 provide an important normative foundation that marriage requires human, spiritual, and social maturity for the realization of a wholesome and prosperous Catholic family.

Breast tumors are classified into two types, namely benign and malignant tumors, the latter commonly referred to as breast cancer. Breast cancer is one of the major health problems affecting women worldwide, including in Indonesia. According to WHO data in 2022, there were 2.3 million breast cancer cases with 685,000 deaths globally, while in Indonesia, 396,914 cases and 234,511 deaths were reported. The high incidence rate is exacerbated by low public awareness in recognizing early symptoms and performing early detection, resulting in 60–70% of cases being diagnosed at an advanced stage, supported by findings that 65.6% of female students still have a low level of knowledge. Female students were selected as research subjects because they are in a vulnerable reproductive age group and have an important role in increasing awareness of early detection, yet they still have limited knowledge. Based on this, this study aims to design a web-based early detection system for breast tumor risk using the Forward Chaining method, which functions as a tool to identify early symptoms, assess risk levels, and provide information on prevention and initial management. This study employed the method with the Expert System Development Life Cycle (ESDLC) model, consisting of the stages of assessment, knowledge acquisition, design, testing, and documentation, along with the Forward Chaining inference method.

This study aims to design and develop a web-based sales information system for a goat farming business at Herman Farm using the Rapid Application Development (RAD) method. The identified problems include manual transaction recording, stock management, and sales reporting processes, which are inefficient, prone to errors, and unable to provide real-time data access. The RAD method is selected due to its ability to accelerate system development through an iterative approach and active user involvement in each stage, including requirements planning, system design, construction, and implementation. Data collection techniques include observation, interviews, and literature studies. The developed system provides features for managing goat data, sales transactions, customer management, and integrated sales reporting within a web-based platform. The results show that the system improves efficiency in data management and transaction processes, while producing more accurate, structured, and accessible reports. Therefore, this system can assist Herman Farm in optimizing its sales operations and expanding its online marketing reach.

The postpartum period is a vulnerable phase often accompanied by lactation problems, particularly ineffective breastfeeding and discomfort due to breast engorgement. These conditions may reduce maternal comfort, inhibit the let-down reflex, and increase the risk of failure in exclusive breastfeeding. Therefore, safe, practical, and comprehensive non-pharmacological nursing interventions are needed. This Final Nursing Project aims to describe the implementation of cabbage leaf compresses combined with breastfeeding education to improve maternal comfort and enhance breast milk flow in postpartum mothers. This study employed a case study method using a nursing care approach involving two postpartum mothers who experienced ineffective breastfeeding and discomfort due to breast engorgement. The interventions were provided for three days and included cabbage leaf compresses and education on breastfeeding techniques. Evaluation focused on breastfeeding ability, pain level, breast condition, maternal comfort, and milk production. The results showed improvement in breastfeeding ability, indicated by the mothers’ ability to correctly demonstrate proper positioning and latch-on techniques. Infants appeared calmer during feeding, and the duration of breastfeeding increased to approximately 10 minutes per breast. Pain scores decreased from 5 to 0–3, breast tension was reduced, and maternal comfort improved. It can be concluded that the application of cabbage leaf compresses combined with breastfeeding education is effective in improving breast milk flow and maternal comfort in postpartum mothers and can be recommended as an independent nursing intervention in maternity practice.

This study aims to explore the implementation of communication within routine counselling programmes as an intervention strategy to address student mental health issues at SMP Tri Guna Bhakti Surabaya. The investigation focuses on three primary problems: broken home backgrounds, lack of parental attention, and economic limitations. This research employed a qualitative descriptive approach, collecting data through in-depth interviews, participatory observation, and documentary studies involving school counsellors, teachers, students, and parents. Grounded in Interpersonal Communication Theory and Therapeutic Communication Theory, the analysis reveals that routine counselling programmes serve as a vital communication platform enabling empathetic, open dialogue between counsellors and students experiencing psychological distress. Key findings indicate that effective counselling communication requires consistent trust-building, active listening, and culturally sensitive message delivery tailored to each student’s unique circumstances. However, the study identifies significant systemic barriers, including student reluctance to disclose personal problems due to social stigma, limited counsellor availability, and insufficient parental engagement in follow-up communication. Despite these critical challenges, the implementation of the programme demonstrates substantial positive outcomes, including reduced student anxiety, improved academic motivation, and fostered psychological resilience. The study concludes that integrating structured interpersonal and therapeutic communication strategies within school counselling frameworks is essential for creating supportive, inclusive educational environments. These strategies are crucial to effectively address the multifaceted, urgent mental health needs of adolescents from vulnerable socioeconomic backgrounds, providing a scalable model for similar urban educational institutions.

Post section caesarea (SC) and method of operative female sterilization (MOW) are surgical procedures that may cause various problems, such as pain, limited mobility, decreased muscle strength, and risk of postoperative complications. Physiotherapy management through exercise therapy is an important intervention to accelerate the recovery process. Objective this study aimed to determine the effectiveness of exercise therapy in improving the functional condition of patients post SC and MOW in Annisa Ward 32 A at PKU Muhammadiyah Karanganyar Hospital. Method: used was a case report on a 33-year-old female patient following SC and MOW procedures. The physiotherapy interventions included deep breathing exercises, active range of motion exercises of the extremities, light abdominal muscle contractions, gradual early mobilization, as well as breast massage and oxytocin stimulation. The results showed a reduction in pain from a scale of 4–5 to 2–3 based on the Numeric Rating Scale (NRS), improvement in mobility such as independent position changes, and increased activity tolerance, including sitting and walking with minimal assistance. In addition, the patient showed increased confidence in performing daily functional activities. Conclusion: exercise therapy has a positive effect on improving mobility, reducing pain, and accelerating functional recovery in post SC and MOW patients. Therefore, exercise therapy is recommended as an essential component of postoperative physiotherapy management to improve patients' quality of life.

This study aims to analyze the legal protection of women's inheritance rights from the perspective of Indonesian civil law. The problems studied focused on the position of women as heirs and the extent to which the legal system provides guarantees of justice and equality. The research method used is normative juridical with a legislative and conceptual approach. Data was obtained through a literature study of legal regulations, doctrines, and court decisions relevant to inheritance issues. The results of the study show that normatively, civil law provides equal recognition of women's inheritance rights, especially in the Civil Code. However, in practice, there are still obstacles influenced by patriarchal culture and customary law that tend to place women in subordinate positions. This condition causes women to often experience difficulties in claiming or obtaining the proper share of inheritance. Therefore, it is necessary to strengthen regulations, harmonize national laws with the value of gender equality, and increase public legal awareness to ensure effective and fair protection for women in obtaining their inheritance rights.

The use of moldboard plows in agricultural land preparation often faces wear problems on the share component, leading to increased maintenance time and reduced operational efficiency. This study aims to design and analyze a modular concept for the plow share to improve maintenance and repair efficiency without compromising structural performance. The research methods include field observation, component dimension measurement, design modeling using CAD software, and structural analysis using the Finite Element Analysis  (FEA) method. In addition, maintenance ease was evaluated through a questionnaire based on a rating scale. The results show that the modular design significantly improves maintenance and repair efficiency, with an average score of 4.59 categorized as very good. Structural analysis indicates that the modular design reduces maximum stress on the moldboard and slightly decreases deformation, reflecting improved structural stiffness compared to the conventional design. However, the Safety Factor on the share component remains below the acceptable limit, indicating the need for further development. Overall, the modular design provides an effective solution to enhance maintenance efficiency while maintaining the structural performance of the moldboard plow.

A single paragraph, maximum 250 words. Abstract content must contain (1) an overview of the object of research, (2) problems, and research objectives, (3) proposed methods, (4) main findings and results and synthesis of main ideas, and (5) conclusions. In recent years, the Iran–United States conflict has not only unfolded within the geopolitical arena but has also been intensively constructed through international media framing that shapes how global audiences understand this reality. In the context of the digital information overflow, media no longer function merely as conveyors of facts; rather, they act as agents that construct meaning, evoke emotions, and shape the social perceptions of audiences. This study aims to analyze how international media framing constructs representations of the Iran–United States conflict and how audiences interpret such discourse within their social experiences. This research adopts a qualitative approach with a Critical Discourse Analysis (CDA) design. Data were collected through document analysis of 25 news articles from both Western and non-Western media, as well as exploratory interviews with nine participants from academic backgrounds. Data analysis was conducted using a thematic approach based on Norman Fairclough’s three-dimensional model. The findings reveal three main patterns: the construction of threat through media language, moral polarization that produces a dichotomy of “us versus them,” and the negotiation of meaning by audiences, which is reflective and not always linear. These findings indicate that audiences are not entirely passive; rather, they actively interpret and, at times, question media framing. Theoretically, this study extends Critical Discourse Analysis by incorporating the dimension of audience experience into the discursive process. Practically, it underscores the importance of critical media literacy in navigating the complexity of global information and opens avenues for further exploration of the relationship between discourse, power, and social experience.

The development of information technology encourages government agencies to switch from manual systems to digital systems that are more efficient and accurate. One important aspect of office administration is recording the absence of village officials, which is often done conventionally so it is prone to errors, data manipulation, and takes longer in the recapitulation process. Based on these problems, this research designs and implements a Qr-Code based attendance system at the Palatta Village Government Office. The design of this system is to provide a faster, more accurate and transparent attendance solution by utilizing Qr-Code technology which is integrated into a web-based application. The system is built with main features such as user login, Qr-Code scanning, attendance history, as well as an admin dashboard to manage data and generate reports. The results of implementation and testing using the Black Box method show that all functions run as required. Testing on users also shows that the system is easy to use, speeds up the attendance process, and helps admins in monitoring and recapitulating data. Thus, this Qr-Code attendance system is suitable to be implemented as a substitute for manual methods to increase work efficiency and discipline in the village office environment.

Bronchopneumonia is a type of infection of the lower respiratory tract that often occurs in children, especially toddlers. This disease is characterized by inflammation of the bronchioles and lung tissue which triggers increased production of secretions in the airways. The buildup of secretions often causes nursing problems in the form of ineffective airway clearance, which is indicated by ineffective coughing, rapid breathing, shortness of breath, and the appearance of additional breath sounds such as rales. Chest physiotherapy in children was carried out to evaluate the effectiveness of the clapping technique in helping to clear the airway in bronchopneumonia patients. The method applied in evidence-based practice (EBP) uses case studies with a nursing care approach. Intervention was given to three patients with a diagnosis of bronchopneumonia for three days, with a duration of approximately 1-2 minutes in each area of ​​the chest. Evaluation is carried out using a stethoscope and measuring time (clock), with the results recorded on an observation sheet. After chest physiotherapy (clapping), the three patients showed improvement in airway clearance, which was indicated by respiratory frequency returning to normal, no additional breath sounds (ronchi), and reduced secretion production. Based on these results, it can be concluded that the application of EBP through chest physiotherapy is effective in increasing airway clearance in bronchopneumonia patients.

Learning motivation is very important for students’ academic success, especially at the senior high school level. At SMA Negeri 3 Tana Toraja, there are still problems that cause low student motivation. These problems include lack of interest in learning, low self-confidence, and the use of technology mostly for entertainment purposes. This study aims to identify ways to improve students’ learning motivation through technology-based group guidance services. The research uses a library study method by collecting and analyzing scientific sources such as books and previous research journals. The results show that learning motivation is influenced by both internal and external factors. Internal factors include self-efficacy, while external factors include the fulfillment of needs for autonomy, competence, and social relatedness. Technology-based group guidance services can be an effective alternative because they combine social interaction with digital media that are familiar to students. Through discussions, sharing experiences, and the use of digital platforms, students become more active, open, and motivated in learning. Guidance and counseling teachers play an important role as facilitators in creating a supportive group dynamic. They provide positive reinforcement and help students develop self-confidence. Healthy group dynamics encourage supportive interactions, which in turn enhance students’ intrinsic motivation. Therefore, the integration of group guidance services and technology can be an effective strategy to improve students’ learning motivation and support optimal learning outcomes.

Hypertension is one of the most common health problems among the elderly and has the potential to cause serious complications such as heart disease and stroke. Dietary patterns and lifestyle factors are known to play an important role in increasing blood pressure, particularly fat intake and sleep quality. This study aimed to analyze the relationship between fat intake and sleep quality with the incidence of hypertension among elderly individuals in the coastal area of Tuban District. This study used an analytical observational design with a case-control approach. The total number of respondents in this study was 136 elderly individuals, consisting of 68 cases (elderly with hypertension) and 68 controls (elderly without hypertension). Data on fat intake were obtained using a 24-hour food recall method, while sleep quality was measured using the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Data were analyzed using the Pearson Chi-Square test with a significance level of α ≤ 0.05. The results showed that there were significant relationships between fat intake (p = 0.000) and sleep quality (p = 0.000) with the incidence of hypertension among the elderly in the coastal area of Tuban District. Elderly individuals with high fat intake and poor sleep quality were more frequently found in the hypertension group compared to the non-hypertension group. In conclusion, fat intake and sleep quality are associated with the occurrence of hypertension among the elderly. Hypertension control efforts can be carried out through limiting fat intake and maintaining good sleep quality.

Students in the transition period are vulnerable to experiencing mental health problems and tend to self-diagnose due to easy access to information and low mental health literacy. This research aims to determine the relationship between mental health literacy and the tendency to make a diagnosis in students at the Faculty of Public Health, Nusa Cendana University, Kupang. This type of research is quantitative research with a correlational approach. Respondents in this study numbered 301 people using probability sampling techniques. Data collection techniques used the mental health literacy scale and self-diagnosis scale. Data analysis uses the product moment correlation test. The research results show that there is a significant negative relationship between mental health literacy and self-diagnosis (r = -0.846 < 0.05), which means that the higher the mental health literacy, the lower the tendency for self-diagnosis in students, and vice versa. In addition, mental health literacy contributed 71.6% to the tendency of self-diagnosis. It is hoped that students not only have a high level of mental health literacy but also quality, so that they realize that self-diagnosis is an inappropriate action and students are expected to take advantage of available professional mental health services.

This research specifically examines how the involvement of the community in the process of digitizing services at the population and civil registration office of Gorontalo City. Co-production is a collaboration between the government and the community to improve the quality, effectiveness, and satisfaction of services. The main problems in this study are the low participation of the community in population administration and challenges in the efficiency of services and the use of digital technology. The method used is qualitative descriptive through observation, interviews, and documentation. The results of the study show that co-production has been implemented through community involvement in data verification, the use of digital services, and active communication between officers and the community. However, there are still obstacles such as low digital literacy and limited human resources. In addition, technology infrastructure and internet access factors also affect the optimization of digital services. This study concludes that co-production is able to increase the effectiveness, responsiveness, and accountability of public services, although efforts are still needed to increase institutional capacity and community participation in a sustainable manner as well as a more inclusive digital education strategy.

This research is motivated by the escalating prevalence of illegal online lending practices in Indonesia, which generate a multitude of legal problems, particularly those concerning the validity of loan agreements and debt collection practices. The simplicity of access through smartphone applications, rapid processing times often approved within minutes and minimal administrative requirements have rendered these services immensely popular among the public. However, this accessibility also paves the way for unlicensed providers to operate unchecked, preying on desperate borrowers. The study aims to analyze the legal validity of illegal online loan agreements pursuant to the Indonesian Civil Code (KUHPerdata) and regulations issued by the Financial Services Authority (Otoritas Jasa Keuangan, OJK). Additionally, it examines the legal position of debt collection from a civil law perspective. A normative juridical method is employed, utilizing statutory and conceptual approaches, with qualitative analysis of the data. The results demonstrate that illegal online loan agreements fail to fulfill the requirements for a valid contract, especially regarding the legal capacity of the parties and lawful cause, categorizing them as null and void by operation of law. Nevertheless, in practice, unlicensed providers continue debt collection efforts, frequently employing methods that violate the law, such as harassment and intimidation. This reveals a significant gap between legal norms and field implementation. The implications emphasize the critical need for robust law enforcement, enhanced consumer protection mechanisms, and stricter oversight of fintech lenders to establish legal certainty and justice for society.

This research was conducted with the aim of developing an automation system for recording warehouse inventory based on Google Sheets to improve the effectiveness and efficiency of the stocktaking process at the Cresta Management warehouse. This research was based on problems in the semi-manual process that used logbooks and separate files for each group of goods, which caused problems such as data duplication, limited data access, lack of data transparency, and lengthy recapitulation process. This research used the Research and Development method using the ADDIE model (Analyze, Design, Develop, Implement, and Evaluate). Data were collected through observastion, interviews, questionnaires, and documentation. The result of this development is a system consisting of a login page, goods transcation recording, warehouse dashboard, stock reports, stock cards, and PDF report exports. This study also produced evaluation scores regarding the system’s feasibilty: 93,3% from the first media expert, 80% from the second media expert, 73,3% from the material expert, and 91,75% from users through User Acceptance Testing. These evaluation results indicate that the system is feasible for use and implementation in supporting warehouse operations, as it provides real time data updates, improves the efficiency of goods reporting, and enhances warehouse transactions.