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The problem lies in the quality of the umbrella nails for asbestos or zinc roofs which often experience damage to the nail head is not large enough, the tip of the nail is blunt, thus damaging the roof material, and susceptibility to corrosion due to weather, and slow manual production. The purpose of making is to obtain umbrella nails with a length of 50 mm and a diameter of 2.5 mm which are strong, pointed tips, relatively fast. The manufacturing method includes: making cylindrical umbrella pieces from 2 mm thick aluminum with a diameter of 25 mm and a 1.5 mm hole center, selecting raw materials for low carbon steel wire, AISI 1020 in the form of a 3 mm diameter coil, straightening and reducing the cross-section of wire using a die (wire drawing),, forming the nail head (cold heading), mechanically cutting the pointed end, forming the nail umbrella from cylindrical pieces that have been inserted with 50 mm long nails and pressed, immersing the umbrella nails in 500oC zinc liquid (galvanizing) for 2 minutes, checking dimensions and quality standards. The manufacturing results are in the form of strong zinc-coated thumbtacks measuring 50 mm in length, 2.5 mm in diameter, 1.2 mm in thickness of the thumbtack plate, total production cost of IDR 340/unit, and process duration of 12 seconds/unit, which implies that the need for strong and corrosion-resistant thumbtacks can be met for various related engineering needs.

Bullying is a serious problem that can disrupt the learning process and mental development of students, including in Islamic boarding schools. Early detection of bullying is essential to creating a safe and conducive learning environment. This study aims to apply the You Only Look Once (YOLO) algorithm to automatically detect bullying through video recordings in the environment of the SMK Skill Village Islamic School Business Boarding School. The method used involves collecting a video dataset representing various types of bullying behavior, labeling the data, and training an object detection model using the YOLOv5 algorithm. The developed system is capable of detecting and classifying bullying behavior in real- time with detection accuracy reaching [accuracy value if known]. The implementation of this system is expected to assist school authorities and boarding school administrators in monitoring, preventing, and addressing bullying incidents more quickly and effectively, while also serving as an initial step in leveraging artificial intelligence technology to create a safer and more comfortable educational environment.

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.

Gesture  recognition  technology  is  used  to  detect  movements  through  image processing,   enabling  computers  or digital devices to understand and interpret human  body  movements  as  input  or  commands.   This  technology  has  great potential  to bridge communication between the deaf community and individuals without   hearing   impairments,    enhancing  interaction  and  enriching  mutual understanding between the two.  However,  the accuracy ofgesture recognition is often  affected  by variations in the distance between hand landmarks.  Based on this problem,  this research proposes a methodfor stabilizing the measurement of distances between landmark points  in gesture recognition through a polynomial regression  approach.   Specifically,   the  distance  between  hand  landmarks  is calculated and stabilized using polynomial  regression to improve the accuracy of gesture recognition.  This method is implemented using the MediaPipeframework to detect and track hands in real-time,  and the OpenCV library to manage video. The  research  results  show  that  this  approach  can  significantly  improve  the stability  and accuracy  of gesture detection.   The developed system successfully detects gestures for  letters A  through F with a high accuracy  rate,  averaging above 98,3%.  The use ofpolynomial regression helps enhance detection accuracy by reducing noise in the landmark data.

Computers in one of the network companies at PT. Estrada uses the Fortinet operating system. The final result expected through this implementation is to comprehensively see the capabilities of the firewall on Fortinet in overcoming the problem of blocking social media applications and streaming platforms during working hours. Blocking the application in question is the ability to filter web processes such as Facebook, Instagram, YouTube, etc. In the tests carried out, web filtering was able to block applications on social media and streaming platforms, which proves that the performance of web filtering is quite good. In analyzing web filtering performance, use the office hour rule tool by carrying out the rule schedule in the Fortinet network and displaying all the information in detail. The final result obtained in the network application filtering simulation process using Fortinet is that every network sent cannot be entered (blocked) on both social media applications and streaming platforms.

The physiological changes that occur during pregnancy, both physically and mentally, may be rather uncomfortable, particularly in the second and third trimesters. Pregnant women often report back discomfort, muscular aches, trouble sleeping, excessive exhaustion, and irregular sleep patterns. Mothers' physical and mental health as well as the health of their unborn children may be significantly impacted by inadequate sleep quality during pregnancy. To enhance comfort and the quality of sleep during pregnancy, one non-pharmacological technique is to use an aromatherapy maternity pillow. An ergonomic and ecologically sustainable invention to enhance mother comfort during pregnancy was the goal of this research, which intended to produce a Pregnancy Pillow Therapy product with pineapple leaf fiber and aromatherapy. A descriptive research design using a prototype creation technique was used in this study. The stages of the research included problem identification, literature review, product design, material selection, prototype manufacturing, and product evaluation. Data were collected through literature studies and observations related to sleep discomfort in pregnancy, maternity pillow utilization, aromatherapy therapy, and pineapple leaf fiber characteristics. The developed product was designed ergonomically to support the back, abdomen, waist, and legs of pregnant women. The addition of aromatherapy was intended to provide a relaxing effect and improve sleep quality. The use of pineapple leaf fiber also supports environmentally friendly product innovation through agricultural waste utilization. The results indicate that Pregnancy Pillow Therapy has the potential to become a supportive product for improving comfort and sleep quality among pregnant women. Further studies are recommended to evaluate product effectiveness directly among pregnant women.

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.

The development of the digital economy has driven increased customer interaction through online chat services, making customer satisfaction a key factor in business success. Response speed and chat service quality are two important aspects in shaping the customer experience, but previous research has tended to examine them separately. This study aims to analyze the influence of online chat services and response speed on customer satisfaction partially and simultaneously. The method used is a qualitative approach with a literature review of 12 scientific articles from 2020–2025 obtained from academic databases such as Google Scholar and SINTA. The analysis technique used is descriptive-critical through the identification, comparison, and synthesis of previous research findings. The results show that online chat services have a positive effect on customer satisfaction, primarily through interaction quality such as information accuracy, ease of use, and problem-solving ability. Response speed has also proven to be an important determinant, where a fast response significantly increases customer satisfaction. However, speed without quality has the potential to decrease satisfaction. The discussion shows that the two variables have a complementary and inseparable relationship. Online chat services function as a medium for interaction, while response speed is a quality attribute that determines the effectiveness of the service. Therefore, the integration of both in one model is the main contribution of this research in filling the literature gap, especially in the context of e-commerce in Indonesia.

The increasing complexity of urban transportation systems demands intelligent and measurable navigation methods. Medan City, the capital of North Sumatra Province, has a dense road network with multiple route options that often confuse road users. Dijkstra's Algorithm, developed by Edsger Wybe Dijkstra in 1959, is a greedy-based computational approach proven effective for solving the shortest path problem on non-negative weighted graphs. This study applies Dijkstra's Algorithm to determine the shortest route from Medan Railway Station to Universitas Negeri Medan (UNIMED). The road network was modeled as an undirected weighted graph with 15 nodes and 16 edges, where edge weights represent actual road distances measured via Google Maps. The graph has a density of 0.152, confirming its sparse graph characteristic. Three alternative routes were identified and analyzed. The algorithm was implemented in Python 3 using the heapq module as a priority queue. Results show that the optimal route is A → B → C → E → F → M → N → O via Jl. M.T. Haryono, Jl. Aipda KS Tubun, Jl. Madong Lubis, and Jl. Prof. H.M. Yamin, with a total distance of 6.64 km. This achieves 99.1% accuracy compared to Google Maps, with a deviation of only 0.06 km. The optimal route is 6.25% more efficient than Alternative Route 1 (7.30 km) and 11.9% more efficient than Alternative Route 2 (7.54 km). The algorithm executes in under 1 millisecond with time complexity O((V+E) log V). These findings confirm Dijkstra's Algorithm as highly effective for medium-scale urban road network optimization.

The Operational Aspect in Islam emphasizes that production activities must benefit humanity or be related to meeting human needs. For example, the selection of raw materials should not come from haram sources, the production process should be free from activities prohibited by Sharia, production should not be excessive, and there should be no waste. The Islamic view on human resources emphasizes that all workers are huan beings, not robots or business tools. A A Business Feasibility Study refers to an analysis of a business plan, both prior to its implementation and once the business is operating on a regular basis. The aim of this study is to evaluate the operational aspects and human resource management within the feasibility study of the Islamic-based convection business, Brand 57 Busana Pekalongan. This research employs a qualitative approach. The data were collected through field research, which involves conducting the study directly at the site where the phenomena related to the research problem occur. The techniques applied for data collection include observation, interviews, and documentation The result of this study indicate that the Brand 57 Busana pekalongan is feasible in terms of operational and human resource management aspects from a Sharia businesss feasibility study perspective because it has chosen a strategic location, good product quality, adequate production capacity, and technology utilization. In addition, the brand 57 Busana Pekalongan convection is deemed permissible for operational production activities from an Islamic perspective, such as production activities based on Islamic values and Maqashid Syariah. In the implementation of human resources management, the Brand 57 Busana Pekalongan convention has implemented job descriptions, a Muslim work ethic, a fair and decent salary distribution system.

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.

This study analyzes normative conflicts in the evolution of local government regulations from Law No. 22 of 1999 to Law No. 23 of 2014, along with the changes following the Job Creation Law. The research background is grounded in the phenomenon of policy pendulum swings, which indicate a shift from radical decentralization toward structured centralization, as well as the disruptions caused by the omnibus law approach. The research aims to identify and classify vertical and horizontal normative conflicts and formulate recommendations for regulatory harmonization. The method used is normative legal research with a legislative and conceptual approach, employing Hans Kelsen’s theory of antinomy as an analytical tool. The research findings identified two main forms of normative conflict: first, a vertical conflict between Law No. 22/1999, which advocates for the broadest possible autonomy, and Law No. 23/2014, which strengthens central control through the concepts of absolute affairs and NSPK, creating a paradox of centralization within decentralization. Second, a horizontal conflict following the Job Creation Law, which centralizes regional licensing authority through the OSS system and revives Article 251 regarding the annulment of regional regulations that have been declared unconstitutional by the Constitutional Court. The implications of this research recommend revising problematic articles and strengthening the role of regions within a just decentralization system.

Rapid urban growth is often linked to the narrative of sustainable development, yet the reality is that fundamental issues remain in the management of urban waste. This paper aims to examine the gap between the concept of a sustainable city and sub-optimal waste management practices. Through a normative legal approach involving an analysis of legislation and relevant literature, it has been found that the implementation of waste management policies continues to face various challenges, such as weak law enforcement, a lack of policy integration, and low levels of public participation. On the other hand, the use of the label ‘sustainable city’ tends to be symbolic and does not yet reflect comprehensive practices. This paper positions the issue of waste as a key indicator in assessing urban sustainability. The novelty of this study lies in its critical approach, which links the discourse on sustainability with the contextual realities of waste management, thereby offering a more reflective and distinct perspective from previous studies.

A MSMEs in Indonesia has recently contributed to national exports by 15,7%  compared with Thailand that has reached 29 %, so substantial revision are required to make sure that increasing contribution which ultimately will give positive impact toward the economy overall, because almost 90 % of human resource work in MSMEs sector with nature resource and other plentiful resources. The main problem that is commonly found by MSMEs is to optimize the available resources as well as fulfill the required standards that have established and required regulation in order to ensure the resulting product is accepted by the market and to comply with the regulation that has been established by the regulator. Indonesia as the second biggest country in the world has biodiversity certainly offers benefits that hard to imitate by other country in producing biopharmaceutical plants product, therefore it offers competitive potential in the global market, however market penetration by MSMEs biopharmaceutical plants sector commonly discontinued regarding with technical barriers to trade (TBT). This study is based on a case study that aims to analyze main challenges in fulfillment of international certification and to formulate adaptation strategy for MSMEs. By conducting through a descriptive qualitative method with case study approaches, the result of study indicates that high compliance costs,  registration procedural complexity from the source and destination country, as well as the inconsistency of raw material quality became the main barriers. The proposed strategy including group certification model, CPOTB standard harmonization, and the utilization of integrated government assistance schemes will provide real contribution in assisting MSMEs fulfilling global market requirements.

This research examines digital charity practices within Christian media communication on YouTube, focusing on two distinct donation formats: marapthon live stream donations (e.g., 24‑hour fundraising events) and sermon‑based donations (offerings collected during or after online worship services). Despite the rapid growth of faith‑based online giving, a critical problem remains: the absence of an integrated system that aligns these two donation models with Christian values of transparency, accountability, and community stewardship. Existing platforms often treat live marapthon and sermon donations separately, leading to fragmented donor experiences and inefficient fund utilization. Therefore, this study aims to develop a conceptual framework for an integrated digital charity system by comparatively analyzing media communication strategies in both donation contexts. The proposed method is a netnographic comparative analysis, involving systematic observation of YouTube comments, chat logs, and video descriptions from 10 Christian channels (5 marapthon‑focused, 5 sermon‑focused) over six months, supplemented by semi‑structured interviews with content creators and donors. The main findings reveal that marapthon donations emphasize urgency and real‑time social proof, while sermon donations rely on theological framing and pastoral trust. The synthesis proposes a hybrid system architecture incorporating real‑time donation tracking, automated acknowledgment, and weekly theological reflection modules. In conclusion, integrating both models into a single development framework enhances donor engagement and aligns digital charity with Christian communication ethics, offering practical guidelines for church‑based YouTubers and platform developers.

The rapid transformation of education driven by globalization and technological advancement demands adaptive learning approaches that align with the characteristics of Generation Z learners. This generation is known for its curiosity, independence in thinking, and openness to diverse perspectives, yet it is also vulnerable to misinformation and negative online influences. Within the context of Islamic education, learning is not solely oriented toward cognitive development but also emphasizes the cultivation of moral values, particularly tolerance. This study aims to explore how contextual teaching methods can contribute to fostering tolerant attitudes among Generation Z students in Islamic educational settings. The research employs a qualitative approach through library research, utilizing a descriptive-analytical framework. Data were collected from various sources, including academic journals, books, and previous studies related to contextual learning, multicultural education, and Generation Z characteristics. The data collection technique involved document analysis, followed by content analysis procedures such as data reduction, categorization, and conclusion drawing. The findings indicate that contextual learning effectively promotes tolerance by engaging students in discussion, problem-solving, reflection, and real-life experiences. The integration of multicultural values and the role of teachers as facilitators and role models further strengthen this process. However, challenges remain, including limited teacher understanding, the persistence of conventional methods, inadequate supporting facilities, and the influence of social media. Overall, contextual learning presents a relevant strategy for developing open-minded, balanced, and socially adaptive Generation Z learners.

The problem of stunting is still a serious issue in health development in Indonesia because it has an impact on the quality of human resources. This study aims to analyze the efforts of the Pagomogo Village Government in handling stunting. The research uses a descriptive qualitative approach with data collection techniques through observation, interviews, and documentation. Informants were determined using purposive sampling consisting of village governments, health workers, cadres, and the community. The results of the study show that the village government has implemented various programs, such as Supplementary Feeding (PMT), strengthening Human Development Cadres (KPM), improving services through community institutions, and sanitation development. However, the implementation of the program has not been optimal because it is still constrained by economic factors, low public awareness, limited counseling, and access to clean water. This study concludes that the main problem does not lie in the availability of programs, but in the implementation and sustainability aspects. Therefore, it is necessary to strengthen community empowerment, improve education, and evaluate results-based programs.

The waste problem in Indonesia has now reached a critical stage and has become an increasingly serious environmental issue. The ever-increasing volume of waste is not being managed effectively, leading to various negative impacts, particularly environmental pollution. This study aims to examine the state of waste management in Indonesia and its impact on water pollution from the perspective of the Sustainable Development Goals (SDGs). The method used is descriptive qualitative research through a literature review utilizing various sources such as journals, official reports, and legislation. The results indicate that the majority of waste originates from household activities, while management practices remain rudimentary, such as the “collect-transport-dispose” method and open dumping. This situation leads to waste accumulation, which contributes to water pollution, deteriorating environmental quality, and increased health risks for the community. Furthermore, suboptimal waste management also poses a challenge in achieving sustainable development goals, particularly regarding responsible consumption and access to clean water and sanitation. Therefore, improved efforts are needed through the application of the reduce, reuse, recycle (3R) principles, increased public awareness, and the active role of the government and the private sector in providing a sustainable waste management system. With the right measures, it is hoped that the waste problem in Indonesia can be reduced and the environment preserved.

Dengue Hemorrhagic Fever (DHF) remains a major public health problem in Indonesia, particularly in densely populated areas. Control efforts require accurate data and spatial analysis to understand disease distribution patterns. Geographic Information System (GIS) is an effective tool for visualizing case distribution and supporting surveillance and planning of control programs at the primary healthcare level. This study aims to describe the spatial distribution of Dengue cases based on medical record data and produce a geographic distribution map to support Dengue control efforts at the Puskesmas level. This study used a quantitative descriptive design with secondary data from medical records at Karangsari Health Center. The sample consisted of 255 DHF patients in 2025, selected using a total sampling technique. Data were processed through editing, geocoding patient addresses, and spatial analysis using QGIS software.The results showed 255 Dengue  cases in 2025 with fluctuating monthly trends, peaking in April and lowest in December. Case distribution was uneven and tended to cluster. High-risk areas accounted for 15.7%–21.2%, moderate-risk areas 9.8%–15.7%, and low-risk areas 7.1%–9.8%. Megu Cilik Village had the highest proportion of cases, while other villages were categorized as moderate and low risk. This pattern indicates that Dengue incidence is influenced by environmental conditions, vector density, host factors, rainfall, and Aedes aegypti presence. GIS provides clearer spatial visualization, helping identify high-risk areas and supporting targeted public health interventions.

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.