The application "Android-Based World State Flag Recognition" aims to provide users with information about the flags of countries around the world. The app is designed with a great interface and uses image recognition technology to identify flags. Users can explore flags, get brief historical information, and improve their knowledge of the visual aspects of the country's identity. The app uses up-to-date online resources to ensure the accuracy and relevance of flag information. The search feature allows users to quickly find the flag of a particular country. In addition, the app provides an exam mode to test the user's knowledge with a short quiz about flags. With the integration of Android technology, users can access this application easily on various mobile devices. The main goal is to provide an interactive and fun learning experience around the visual identity of the countries of the world.

The Indonesian government has implemented various programs to improve public welfare; however, social assistance often misses its target, primarily due to a lack of accurate data. Sirapit Subdistrict, as a government institution, has access to important population data for policy development, particularly in the distribution of aid based on community welfare levels. Factors such as education, age, number of dependents, and income play a significant role in determining an individual's welfare. To address this issue, this study proposes the use of the Apriori method to analyze the factors affecting population welfare. The Apriori method is a data mining algorithm useful for discovering association patterns within a dataset. The study results show that with a support value of 3% and a confidence level of 100%, a pattern was found where residents with a high school education, 1-2 dependents, aged 35-45 years, earning Rp 500,000 - Rp 999,999, and with a low welfare level tend to work as laborers. These findings are expected to serve as a foundation for formulating more targeted policies to improve community welfare in Sirapit Subdistrict.

The effectiveness of snort rules in detecting network attacks is still a question that needs further research. Although snort rules have been developed and updated regularly, network attacks also continue to evolve and may have patterns that have not been detected by existing snort rules. The main objective is to develop and analyze the effectiveness of snort rules in detecting attack patterns on the network. Benefits Provides a better understanding of the effectiveness of snort rules in detecting network attacks. The result of this research is that the development of snort rules that have been carried out is able to filter attack patterns that were previously undetectable such as DDoS attacks and is able to provide telegram notifications.

Waste is a waste product of human activities that continues to increase along with the increase in population, activities, and consumption levels. In Bengkalis Sub-district, Bengkalis Regency, there are many waste accumulation points that have not been handled properly, mainly due to the lack of information about the location of waste accumulation. This causes the Bengkalis Regency Environment and Hygiene Agency (DLHK) to have difficulties in managing waste transportation, even though it is carried out every day. There are still many complaints from people who are outside the waste collection point. To overcome this problem, this research aims to develop a mobile application-based garbage pile complaint application focused on the Bengkalis District area. This application is designed to assist DLHK in monitoring environmental cleanliness more effectively. The Analytical Hierarchy Process (AHP) method is used to determine the priority of handling waste complaints, which will be implemented in a web platform to ensure optimal handling. Application development uses a prototype approach to ensure that the resulting application is in accordance with user needs and expectations. With this application, it is hoped that waste management in Bengkalis Regency will become more efficient and responsive to community complaints.
 
 

Organizational performance includes various indicators such as productivity, work quality, efficiency, and innovation. Challenges often arise in the performance evaluation process when not supported by an adequate system. Additionally, facilitators play a crucial role in achieving goals, but poor selection of facilitators can lead to problems like lack of participation, poor time management, and inability to resolve conflicts, negatively impacting productivity and decision quality. This study aims to develop a support system that improves performance evaluation and facilitator roles at BBPPMPV-BBL Medan. The system is expected to simplify performance evaluation, enhance resource management effectiveness, and assist facilitators in carrying out their tasks optimally. The research findings indicate that this support system provides more accurate, structured, and effective performance evaluation, while enhancing facilitators' ability to maintain focus, manage time, and resolve conflicts. Implementing this system at BBPPMPV-BBL Medan contributes to increased productivity, efficiency, and performance quality, and enables proper recognition of high-performing individuals or teams.

In appearance, hair is an important aspect. In this modern era, hairstyles are becoming more and more varied. So, a lot of teenage men have trouble determining a suitable hairstyle. One factor in determining hairstyles is the shape of their faces. Often, teenagers don't match the haircut they've chosen. It can make you feel less confident and feel less in terms of appearance. Because it requires a system to recognize the shape of the face and determine the appropriate hairstyle. The most common method of grouping is the CNN method. In this study, the recommended hairstyles of male hair models and facial shapes detected are Oval, Box, Long Square, and Round. This study has accuracy with an average presentation of 85%.

Technology is developing so quickly that it may have a significant impact on the way teaching and learning are done. Interactive multimedia-based learning materials play an important role in the teaching and learning process. The availability of educational media can make teaching easier for teachers and increase students' learning motivation. This research focuses on designing multimedia-based interactive learning media for introducing marine animals. Researchers found the problem that the learning process at TK BA Aisyiyah Grogol 2 still uses the lecture method and does not use technology. This causes students' interest in learning to decrease. The method applied in designing this learning media is the ADDIE method. The result of this research is an interactive learning media design that uses multimedia. It is hoped that this learning media can increase students' interest in learning and the learning process will become easier and more effective.

Technology is currently developing at a very fast pace. The teaching and learning process in the field of education is greatly impacted by the ever-improving technology advancements. In order to spark students' interest in studying, a lot of schools and teachers are currently utilizing technology tools like interactive learning media. In order to increase students' enthusiasm in learning, teachers' inventiveness is equally crucial. Learning media is a crucial component that may draw students in and aid in their pursuit of the best possible learning outcomes. Engaging media helps pupils comprehend the lessons that are being taught. Therefore, the goal of creating interactive learning materials to present the solar system to pupils is to enable them to view the actual things rather than only envision them.

Skin cancer has high incidence and fatality rates, making accurate and rapid detection crucial. This study developed a web-based skin cancer detection system using YOLOv8. The model detects seven types of skin cancer using a dataset of 17.366 annotated images. Methods included data collection, pre-processing, augmentation, model training, and performance evaluation using precision, recall, and mean Average Precision (mAP). Results show that the YOLOv8 model achieved a precision of 0.975 and a recall of 0.969. Evaluation with a confusion matrix demonstrated strong detection capabilities. A web interface was developed to allow users to upload images and view detection results in real-time. The YOLOv8-based skin cancer detection system provides accurate results and can be used as a tool for early diagnosis.
 
 

Employee recruitment is a critical aspect of human resource management that significantly influences the success and sustainability of a company. Communion Coffee Brewer, a company in the food and beverage industry, faces challenges in effectively recruiting employees to ensure alignment with company needs and culture. To address this, the implementation of Decision Support System (DSS) using the SMART Methodology proves to be a relevant solution. This method allows for objective evaluation based on predefined criteria while streamlining the decision-making process. By integrating this technology, Communion Coffee Brewer can enhance efficiency and effectiveness in recruitment, support sustainable company growth, and strengthen its long-term operations.