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The 2024 Indonesian Presidential Election marked the fifth general election in the country, aimed at electing a new President and Vice President for the 2024–2029 term. Candidates competed to succeed the outgoing president, who had served two constitutional terms. A key aspect of this election was the candidate debates, where each candidate presented their vision, allowing the public to assess their policies. These debates were broadcast on platforms like YouTube, giving the public a space to comment. However, analyzing YouTube comments presents challenges due to the volume of data, language diversity, and informal expressions. Sentiment analysis, crucial for understanding public opinion, uses algorithms such as Naïve Bayes, which is based on Bayes' Theorem and assumes feature independence. Naïve Bayes is widely used in text analysis for its speed and simplicity. When applied to YouTube comments from the 2024 debates, the algorithm demonstrated its effectiveness, especially with a balanced dataset through random oversampling. It achieved 85.155% accuracy, high precision, recall, and an AUC of 96.8% on an 80:20 data split. Its fast classification time (0.000998 seconds) makes it suitable for real-time sentiment analysis, validating its use for political events. Future applications may incorporate advanced techniques like BERT for more sophisticated analysis.

This study evaluates the effectiveness of a hybrid citizen–AI legal monitoring system in enhancing urban environmental governance. The hybrid system integrates citizen-driven reporting platforms with AI-powered legal monitoring tools to address the challenges of weak public oversight in urban environmental management. By implementing the system in three metropolitan areas, the study explores how real-time data collection through citizen reports, combined with AI-driven analysis, can improve the accuracy, speed, and responsiveness of identifying environmental violations. The results showed a 45% improvement in oversight effectiveness, demonstrating the potential of hybrid systems to enhance monitoring capabilities beyond traditional methods. The AI system, capable of analyzing large datasets and providing timely insights, enabled quicker identification and categorization of violations such as pollution and waste management issues. The integration of citizen involvement through digital platforms allowed for more inclusive data collection, enhancing the quality and volume of information available for decision-making. This synergy between human participation and AI-driven analysis improved the speed of response to urban environmental challenges, making the system more adaptive and efficient. However, challenges such as data reliability and variable citizen participation rates were identified, suggesting the need for strategies to encourage consistent engagement and ensure the accuracy of reported data. The study concludes that hybrid citizen–AI systems can significantly improve urban governance by enhancing transparency, accountability, and responsiveness, offering a promising solution for cities seeking to address environmental issues more effectively.

This research aims to analyze the influence of the application of information technology on increasing the efficiency of business processes in the banking sector. In an increasingly competitive and dynamic business environment, operational efficiency is one of the keys to success for banks. The application of information technology through various digital systems, such as Internet Banking, Mobile Banking, and cloud computing-based platforms, has been proven to speed up transactions and reduce operational costs. Apart from that, automating business processes through ERP and CRM also increases accuracy and makes data-based decision making easier. However, the implementation of this technology faces challenges, such as limited technical skills and organizational cultural resistance. However, proper use of IT can increase productivity, customer satisfaction and strengthen the bank's competitive position. This research provides insight into the importance of IT investment in supporting digital transformation and operational efficiency in the banking sector.

Financial management is one of the key factors in determining the success of a company, especially for Micro, Small, and Medium Enterprises (MSMEs) in the digital era. This study aims to analyze the literature that discusses the influence of financial management practices on MSME performance, considering the role of digital technology in financial management. This study explores key aspects of financial management, such as financial planning, budget control, cash flow management, and investment, and how the application of technology can improve its efficiency and effectiveness. The results of the study show that the use of digital technology, such as cloud-based accounting applications and digital payment systems, can improve the accuracy and speed of financial management, which ultimately has a positive impact on MSME performance. This study provides important insights for MSME actors and policy makers in integrating digital technology to strengthen financial management and improve business competitiveness.  

This research explores the implementation of computer vision technology in AI-based e-commerce platforms to enhance product identification and improve user experience. The study specifically examines the use of deep learning algorithms, particularly Convolutional Neural Networks (CNN), to automate product recognition and classification. The results indicate that AI-driven image search features significantly increase the speed and accuracy of product search, leading to greater customer engagement. However, challenges such as the need for high-quality datasets, varying image quality, and high initial investment costs were identified as barriers to effective implementation. The findings suggest that overcoming these obstacles can lead to improved operational efficiency and customer satisfaction. The success of AI in e-commerce depends on robust infrastructure, data quality, and skilled workforce training.

Village officials are government employees in the field of public services who have duties and obligations towards services to the community who work and support the Village Head in carrying out his duties. In the relationship between the government and the community, various concepts are known such as state administrative law which studies the actions in organizing a country, including in villages. Public services are very necessary in fulfilling the desires and needs of the community in the village government.This research was conducted using a normative legal research method. The data collection methods used by the author were interviews and literature studies. Interviews are data collection techniques conducted through face-to-face and direct question and answer between researchers and informants, while literature studies are data processing conducted by systematically analyzing written legal materials with a statutory approach and a case study approach.The results of this study indicate that the performance of village officials in Pasar V Kebun Kelapa Village has not fully implemented good public service performance in terms of understanding of duties and functions, innovation, work speed, work accuracy and work between employees to realize excellent service.

This research aims to design and simulate a DC motor speed control system using integral state feedback (KISF) control. This control is designed to maintain DC motor speed stability with high accuracy despite disturbances or load changes. The research stages include mathematical modeling of the DC motor, PID control design, integral state feedback control design, simulation implementation and simulation results analysis. The show that althought integral state feedback control has a rise time 273.501 ms, slightly slower than PID 197.604 ms, integral state feedback compensates with higher slew rate of change 6.540 V/ms compared to PID 4.344 V/ms. Integral state feedback offers greater flexibility through pole placement values with Ackerman’s formula J3 = [-12 -100 -600], indicating that this system has good capability in responding to input changes, thus maintaining motor speed stably and efficiently. This indicates that integral state feedback control is superior in system adaptation and handling complex dynamics.

School libraries have a strategic role in supporting the teaching and learning process, but the manual management system is a major obstacle in service. This research aims to design a web-based library information system to improve the efficiency and quality of services at SD Darul Ulum, Kisaran District. The research method used is a qualitative method with observation and survey techniques to collect data. The results showed that the web-based information system developed was able to transform the manual process into a more effective digital system, with the main features including membership management, digital book catalog, loan and return system, and report management. The system provides easy access to information, improves data accuracy, speeds up the administration process, and reduces the risk of losing documents. The implementation of a web-based library information system is proven to significantly improve the quality of school library services.  

Hospital Management Information System (SIMRS) is an information technology designed to manage the entire process of health services in an efficient and integrated manner. SIMRS implementation plays an important role in supporting decision making, increasing work efficiency, and improving the quality of hospital services. The purpose of this study is analyze the effect of SIMRS implementation on employee performance in the health sector. The method used is a The study employs a literature review methode by national research articles published between 2017-2024. Data sources were obtained through the Google Scholar database with keywords related to hospital management information systems and employee performance. The data was analyzed based on research results from several relevant journals. The results showed that SIMRS implementation has a significant influence on hospital employee performance. SIMRS is proven to improve operational efficiency, data accuracy, and speed in health services. The majority of studies reviewed showed a significant relationship between SIMRS and improved employee performance, as indicated by a significance value of p < 0.05 in various studies. SIMRS implementation has a positive impact on employee performance, both in terms of work effectiveness and quality of health services.

The use of artificial intelligence (AI) in forensic science has become an interesting topic and has brought tremendous progress in various fields, forensic science being one of them. With AI's ability to analyze large-scale data and detect patterns that are difficult for humans to see, this technology helps in speeding up investigations and increasing the accuracy of results. In the ever-growing digital era, the volume of data generated by organizations is increasingly large and complex. This creates significant challenges for forensic accountants in detecting and analyzing fraud and discrepancies in financial statements. AI offers innovative solutions with its ability to analyze large amounts of data, identify patterns, and detect anomalies at a speed and accuracy that far exceeds human capabilities.

Attendance information system has an important role in improving the efficiency and accuracy of attendance recording in various institutions, including Bandar Pulau Police Station, which until now still uses manual methods. This research aims to develop a technology-based attendance information system to facilitate attendance data management, reduce recording errors, and speed up report generation. The research was conducted using qualitative method through observation, interview, and literature study. The results showed that the attendance system at Bandar Pulau Police Station was still done manually by recording in a book, which slowed down the data recording process. The research recommends a computer-based attendance information system to simplify the management of personal attendance data. The system design includes use case diagram and interface design, including login menu, attendance data input, and attendance report. The main objective is to develop a system that is more practical, efficient, and facilitates the attendance administration process within the police sector.

Electronic asset management is important to increase operational efficiency and minimize the risk of loss or damage to goods that are company assets. Developed system for managing inventory data, maintenance and asset reporting. The development process follows the Agile stages, starting from gathering requirements through interviews and surveys with users. Next, the interface and system features are designed, as well as iterative testing to ensure the system meets user expectations. The result of this research is an information system that can manage electronic asset data effectively, increase information accuracy, and speed up the decision-making process. It is hoped that the implementation of this system can make a significant contribution to asset management in the organization and increase transparency and accountability in the use of resources.

The community service titled Socialization of the Role of Medical Informatics in Technology and Healthcare for Students of SMK Sulthan Muazzam Syah Pekanbaru aims to enhance students' understanding of the importance of information technology in the medical field. This activity was held on campus, focusing on the application of information technology in improving the efficiency, accuracy, and speed of healthcare services. The socialization involved 30 students who actively participated through interactive presentations and simulations of medical technology use cases. The methods used included visual presentations and open discussions about the role of technology in medical diagnosis and data management. Students were also given the opportunity to ask questions regarding career opportunities in the field of medical informatics. The results showed an increased understanding among students about the role of information technology in healthcare, with positive responses concerning career prospects in this field. This activity is expected to motivate students to explore further the application of information technology in the healthcare sector. Future activities are recommended to include more in-depth workshops or technical training in medical informatics.

The increasing frequency and severity of tsunamis in coastal areas underscore the urgent need for efficient Tsunami Early Warning Systems (TEWS). This research aims to optimize TEWS by integrating fast computational tsunami wave modeling to enhance prediction speed and accuracy. The study utilizes numerical simulations employing finite volume methods, along with GPU acceleration, to model tsunami wave propagation and its impact on coastal areas. Machine learning techniques, such as regression trees, are incorporated to analyze large datasets of pre-computed tsunami simulations for accurate forecasting. The results reveal that by applying rapid computational methods, detection time can be reduced by up to 7 minutes, particularly for near-field tsunamis. This significant time-saving enables more effective evacuation procedures and better disaster mitigation efforts. In comparison to conventional systems, the fast computation model also provides more accurate predictions, including tsunami heights and arrival times. The implications of these findings suggest that fast computational methods can substantially improve the current TEWS, allowing for quicker and more reliable tsunami warnings. Moreover, the integration of advanced machine learning techniques ensures the system's adaptability and robustness in predicting tsunami behaviors based on varying data inputs. The potential for implementing this model in tsunami-prone regions worldwide is considerable, offering an improved approach to tsunami disaster preparedness and response. By reducing detection time and enhancing prediction accuracy, the optimized TEWS can significantly minimize loss of life and infrastructure damage, making it a valuable tool for global disaster management strategies.  

Introduction: Response time is a quick response in handling patients, which is calculated from the time the patient arrives until there is a response from the nurse. The speed and accuracy of the first aid actions given to patients who come to the ER require standards according to their competence and abilities so that they can guarantee emergency treatment with a fast and accurate response time. The purpose of this study was to determine the Relationship between Nurse Response Time and BPJS Patient Family Satisfaction in the ER of Dr. J.A. Latumeten Hospital, Ambon 2024. This type of research is quantitative with a descriptive analytical design. The sampling technique was Accidental Sampling and used a cross-sectional approach. Data analysis using the chi-square test. The results of the study based on the chi-square test obtained a significance value of Pvalue = 0.003, where the α value <0.05. So that Ha is accepted, meaning that there is a significant relationship between the Relationship between nurse response time and the level of satisfaction of BPJS patient families in the ER of Level II Hospital Dr. J.A. Latumeten Ambon. Based on the results of the study, it shows that there is a relationship between nurse response time and the level of satisfaction of BPJS patient families with a Pvalue = 0.003.

This article discusses the development of accounting information systems to improve efficiency and accuracy, focusing on a case study of the implementation of accounting program changes. Previous studies have shown that effective accounting information systems can significantly improve the quality of accounting and managerial information. The implementation of accounting program changes often involves the integration of information technology to improve the process of financial reporting, internal control, and analysis of company performance. Previous studies have shown that companies that adopt information technology in their accounting systems have a competitive advantage in managing and analyzing financial information more efficiently. Important factors in the development of accounting information systems are the need to ensure data accuracy, reporting speed, and real-time availability of information for internal and external stakeholders. This study also explores the positive impact of the use of accounting information systems on the company's operational efficiency and strategic decision making. Successful implementations show that modern accounting information systems are able to integrate various business functions, such as finance, inventory, and manufacturing, to improve the coordination and effectiveness of the organization as a whole. Thus, the development of accounting information systems not only improves the company's internal processes but also enhances the company's adaptability to rapid and complex changes in the business environment. This study provides a strong theoretical foundation for understanding the importance of information technology integration in the context of accounting program changes to achieve higher efficiency and accuracy goals.

The Sumba Christian Church (GKS) Jemaat Makamenggit, located in East Sumba Regency, has a substantial number of congregants, including 425 members at the central Makamenggit church. Financial management activities, such as revenue from Children's Offerings (PA), Diakonia, and building funds, are still carried using notebooks and calculators. This method is not only time-consuming and also prone to recording errors and reduces transparency in financial reporting. This poses challenges in meeting regulatory requirements and maintaining the trust of the congregation and related stakeholders. In the current digital era, transparency and accuracy in financial reporting are essential needs. To address this challenge, a web-based information system which aims to speed up the process of calculating incoming and outgoing money and financial reporting. With this new system, the recording process, which typically takes 1-2 days, can be simplified to just 10-15 minutes. The use of a web-based system also provides real-time access to financial data for various stakeholders, such as church administrators, congregation councils, and supervisory bodies, regardless of geographical constraints. The proposed system will enable the church treasurer to manage church finances more efficiently, reduce reporting time, and meet applicable regulatory demands.In an effort to speed up the financial calculation process at GKS Makamenggit, this financial information system was developed using the waterfall method. It is hoped that the results of this research will help financial treasurers to manage incoming and outgoing finances and with this system, financial reporting will be more transparent and efficient.

Crisis communication plays a vital role in disaster management, especially in disaster-prone countries like Indonesia. This study examines the effectiveness of communication strategies used by the National Disaster Management Agency (BNPB) in conveying information to the public during the earthquake disaster in Sulawesi. The results of the study indicate that the use of mobile application-based communication technology increases the speed and accuracy of information delivery.

Computer-based Accounting Information Systems (AIS) have become a vital element in managing organizational finances in the digital era. To explore the role and benefits of computer-based AIS in increasing efficiency, accuracy and transparency of financial reports. By integrating information technology in the accounting process, AIS enables real-time data collection, processing and analysis, thereby supporting faster and data-based decision making, while also identifying challenges faced in implementing AIS, such as user training needs and issues. data security. That computer-based AIS not only speeds up transaction recording and information management, but also increases collaboration between departments and allows for more accurate and timely reporting. Therefore, computer-based AIS has proven to be an important strategic tool for organizations to improve financial performance and competitiveness in increasingly competitive markets.

Abstract. This study presents a web-based system for identifying traditional herbal leaves using K-Nearest Neighbors (KNN) and image processing techniques focused on analyzing leaf shape and color. The dataset used consists of images of various types of herbal leaves, providing a basis for classification and medicinal benefit information retrieval. The system was tested with multiple leaf samples to assess accuracy, speed, and effectiveness in identifying leaf types based on visual characteristics. Results show that the system can recognize different types of herbal leaves and display information on their medicinal properties in a user-friendly interface..