This research aims to develop an expert system that can diagnose diseases related to brain tumors using the Case Based Reasoning (CBR) method. The CBR method works by comparing new cases with previous cases that have been stored in the database to provide appropriate diagnoses and treatment recommendations. This system is designed to assist medical personnel in analyzing patient symptoms, thus speeding up the process of identifying the type of brain tumor. In addition, the system is also equipped with a knowledge base obtained from real cases that have been validated by medical experts. Test results show that the diagnostic accuracy of this system reaches a fairly high level, especially in detecting frequently encountered types of brain tumors. Thus, this system has the potential to be an effective tool in the medical diagnosis process, especially in patients who show symptoms of brain tumors.

Hyperthermia is a condition characterized by symptoms such as dehydration, muscle spasms, dizziness, weakness, nausea, vomiting, and fatigue, which can harm the patient's condition. The causes of hyperthermia can vary, ranging from lack of fluids to excessive physical activity. RSU Putri Bidadari has doctors who are experts in treating various diseases, including hyperthermia. However, several obstacles often occur in the direct consultation process, such as long queues, long distances, limited time, and costs. Therefore, a technology-based system is needed that is able to manage hyperthermia symptom data and help diagnose the disease early, so that patients can get information and early treatment quickly. This method is used to manage the symptoms selected by the patient to determine the possibility of the disease with a high level of confidence. Based on the analysis of the selected symptoms, this system is able to produce the most accurate diagnosis with the case of hyperthermia type Heat exhaustion, with a confidence level of 50.26%.

Epilepsy, or apoplexy, is a chronic disease characterized by recurrent seizures and impaired consciousness due to disorders of the central nervous system. In developing countries, including in RSU Putri Bidadari, epilepsy management is often hampered by high consultation costs, resulting in suboptimal quality of treatment and patient recovery. To overcome this challenge, a system is needed that can facilitate the diagnosis and treatment of epilepsy more efficiently. By using this method, RSU Putri Bidadari can improve the precision of epilepsy diagnosis and determine more appropriate treatment steps, despite limited resources. The Bayes method, as a statistical approach, offers a potential solution to improve the accuracy of diagnosis through data-based probability estimation of diseases and symptoms reported by patients such as frequent hunger, thirst, urination, weight loss, vaginal infections, easy fatigue, tingling legs, and blurred vision. The analysis results of the system show an estimated probability of 73% for patients suffering from generalized epilepsy. The Bayes method-based system is expected to help RSU Putri Bidadari in providing more effective treatment and improving the overall quality of life of epilepsy patients.

Obsessive-Compulsive Disorder (OCD) is a psychiatric disorder characterized by uncontrollable obsessive thoughts and compulsive behaviors. The disorder triggers anxiety in sufferers that often drives them to avoid situations or places that can trigger obsessions, such as shaking hands or using public restrooms. Proper treatment is necessary to prevent further impact on the quality of life of OCD sufferers. However, early diagnosis is often constrained by limited time and access to medical experts. To overcome this, an expert system based on the Certainty Factor method was developed. This system mimics the thought process of a medical expert in diagnosing OCD using symptoms selected by the user. Certainty Factor is used to calculate the certainty level of each diagnosis based on the inputted symptoms. From the analysis, the system is able to provide diagnoses with high accuracy, even reaching 100% for some OCD cases. These results show that expert systems can be an effective tool in detecting OCD early, thus accelerating the process of proper handling and treatment

This research aims to design and build a web-based broadcast equipment inventory information system at TVRI North Sumatra. This information system was developed to overcome existing inventory management problems, such as tracking, managing and maintaining broadcast equipment. The development method used includes requirements stages, system design analysis, implementation, and testing using the black box method. This system was built using PHP as the programming language, MySQL as the database, and CSS and JavaScript for the user interface. Test results show that this system can manage equipment inventory effectively, including the functions of borrowing, returning and maintaining equipment. This system also allows integration with other existing systems at TVRI and provides long-term benefits such as increasing data accuracy and operational efficiency. The implementation of this information system is expected to support smooth operations and improve the quality of inventory management at TVRI North Sumatra.
 

Business legality is the identity of a business that legalizes a business so that it is recognized by the community. Business legality must be valid according to applicable laws and regulations so that the business can be protected by various documents that are valid in the eyes of the law. One of the supporting factors for the sustainability of a business is influenced by the existence of legal elements of the business being run. Business permits that must be owned by the community are a business establishment deed, business entity NPWP, trade business license (SIUP), company domicile certificate (SKDP) and business registration number (NIB). The increase in community businesses in Sei Bingai District, Langkat Regency has triggered many business permits that are not directly supervised by the local government. Community business permits are important documents in supervising the running of these community businesses. The types of businesses in Sei Bingai District also vary, such as tourism, C mining, trade, factories and so on.

This research analyzes the performance of the Academic Information System (SIAKAD) in supporting student tuition payments at STMIK Widuri using the PIECES method (Performance, Information, Economy, Control, Efficiency, Service). SIAKAD aims to streamline academic administration and enable online payments. However, issues such as system access delays, especially near payment deadlines, still occur, negatively impacting students' academic services and resulting in administrative penalties. The study employed data collection techniques through observation, interviews, questionnaires, and literature review. The PIECES framework was applied to evaluate six key indicators: performance, information, economy, control, efficiency, and service. The findings reveal that all indicators achieved an average score above 3.80, indicating a "good" system performance. Nonetheless, further improvements are necessary, particularly in terms of access speed and data security, to minimize user difficulties. The study concludes that optimizing the SIAKAD system is crucial for achieving effective and efficient payment processes. Recommendations include enhancing service quality, improving information accuracy, and strengthening data security. This optimization is expected to increase user satisfaction and support the institution's financial management stability.

Cyberbullying has become a significant problem among teenagers along with the rapid development of information and communication technology in the 21st century. This research aims to analyze the challenges faced by teenagers due to the cyberbullying phenomenon, including its impact on mental health, social relationships and daily behavior. Through qualitative and quantitative methods, data was collected from surveys and interviews with teenagers in various secondary schools. The research results showed that almost 40% of respondents had experienced or witnessed cyberbullying, with varying impacts, ranging from anxiety to depression. In addition, factors such as anonymity in cyberspace, low awareness of negative impacts, and the influence of social media contribute to increasing cases of cyberbullying. This research recommends educational approaches and community interventions to increase awareness and understanding of cyberbullying among adolescents, as well as the importance of support from parents and teachers in creating a safe and positive environment in the digital world.

Learning achievement is every learning activity carried out by students which will result in a change in themselves. The learning outcomes obtained by students are measured based on differences in behavior before and after learning is carried out. The economic conditions of students' families at SMP Negeri 2 Binjai have a significant influence on student learning achievement. Many students who come from families with economically disadvantaged backgrounds face various challenges that hinder the learning process. Financial limitations often mean they do not have adequate access to educational resources, such as books, the internet, and additional tutoring which can help improve understanding of subject matter. This research uses the Apriori method as a problem solving method, namely to correlate between Family Socio-Economics, Activities Students Outside the School Environment and Level of Student Learning Motivation with Student Achievement in class. If data A, G, K ? O with Support 30% and Confident 100% and S*C value 30%. So, if a student from a family with an income of less than Rp. 1,000,000 who take part in extracurricular activities outside of school, and have family-driven motivation, will have academic achievement with good report cards. This research indicates that family socio-economic conditions have a significant impact on student academic achievement. Through data analysis, it can be seen that factors such as family income, student activities outside the school environment and the level of student motivation to learn can influence the extent to which students can achieve higher academic achievement.

This research conducts a comparative study on the performance of modern JavaScript frameworks - React, Angular, and Vue.js - in the context of web application development. Using an experimental approach, this study measures various performance aspects including rendering time, bundle size, page load time, and memory usage. The research method involves developing web applications using all three frameworks in different scenarios, as well as interviews with experienced developers. Results show that Vue.js excels in rendering speed and memory efficiency, React demonstrates superiority in handling large-scale dynamic updates, while Angular offers a robust structured architecture. This study also reveals the importance of non-technical factors such as learning curve and community support in framework selection. In conclusion, the selection of an optimal framework should consider project-specific needs, team expertise, and long-term organizational goals. This research provides valuable insights for developers and organizations in choosing the appropriate JavaScript framework for their projects.