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This study evaluates the effectiveness of AI-powered tutoring systems in enhancing personalized English language learning among students in Colleges of Education in Lagos State, Nigeria. The primary objectives include assessing the impact of these systems on students' English proficiency and evaluating their perceptions of usability and effectiveness. Guided by four research questions, the study aims to provide insights into the integration of AI in educational contexts. Employing a survey research design, the study targeted a population of approximately 50,000 final-year students across several Colleges of Education. A sample of 400 students was selected using a combination of convenience and stratified random sampling techniques, ensuring representation from two institutions: the Federal College of Education (Technical) Akoka (FCET) and the Adeniran Ogunsanya College of Education (AOCOED). A structured questionnaire with 30 items was developed and validated, achieving a reliability coefficient of 0.81. Data collection methods included both in-person and online approaches, yielding a response rate of 74.5% (298 completed questionnaires). Data were analyzed using descriptive statistics and t-test for hypothesis testing. The findings revealed a significant difference in English language proficiency between students using AI tutoring systems and those using traditional methods, with the AI group reporting better outcomes. Additionally, students expressed mixed perceptions regarding the usability of AI systems. Major recommendations include enhancing AI system functionalities, providing comprehensive training for users, and addressing technological barriers to ensure effective implementation. This study underscores the potential of AI in education while highlighting the need for ongoing improvements and support mechanisms.

Political discourse plays a very important role in shaping public opinion and reinforcing power structures in multicultural societies. This research applies Critical Discourse Analysis (CDA) to examine how language is used in political speeches to construct social hierarchies, national identities, and public perceptions. By analyzing speeches from leaders in diverse societies, this study highlights the use of rhetoric, metaphor, and persuasion strategies in influencing collective ideologies

Natural disasters such as earthquakes, hurricanes, and floods pose significant risks to critical infrastructure. AI-driven disaster response systems provide real-time analytics, predictive modeling, and automated response strategies to mitigate damage and improve recovery efforts. This paper explores how AI-powered drones, satellite imagery, and sensor networks enhance disaster monitoring and decision-making. Additionally, the study discusses the role of AI in optimizing emergency resource allocation and predicting infrastructure vulnerabilities. Through an analysis of past disaster management strategies, this research aims to propose AI-integrated frameworks that enhance disaster preparedness and resilience.

The budget division has responsibility for tasks that are usually carried out including financial management, analysis and budget control in the company The aim of this research is to determine the implementation and optimization of digitalization of expedition bookkeeping in the budget division by employees of the State Electricity Company Nusantara Power Services (PT. PLN-NPS) at the Sidoarjo head office, East Java. This research uses field research methods by collecting data through reviewing internship activities and using previous research regarding the budget division.  The research results show that the implementation and optimization of digitalization of expedition bookkeeping in the budget division can helps all employee needs and already has an effective system in its use.

This study analyzes the procedures for employee payroll documentation and data transfer at PT PLN Nusantara Power Services to enhance the efficiency and accuracy of human resource (HR) administration. Using a descriptive qualitative method, data were collected through library and field research. The findings indicate that digitalizing HR administration improves operational efficiency, transparency, and compliance with regulations. Digital transformation also minimizes errors and supports data risk management. The author's internship experience highlights the importance of responsibility and accuracy in data management to meet professional standards. This research contributes to the development of technology-based administrative systems in the energy sector.  

The integration of Artificial Intelligence (AI) in personalized and adaptive learning environments has revolutionized the education sector by offering customized learning experiences tailored to individual student needs. This study explores the role of AI in enhancing adaptive learning through data-driven insights, intelligent tutoring systems, and real-time feedback mechanisms. By employing machine learning algorithms and natural language processing, AI-driven platforms can analyze student performance, predict learning patterns, and deliver personalized content. The study highlights the effectiveness of AI in addressing diverse learning styles, improving engagement, and optimizing educational outcomes. Furthermore, it discusses the implications of AI in fostering inclusive education and lifelong learning. The findings suggest that AI-powered learning environments significantly enhance student-centered education, promoting efficiency and accessibility.

POME is liquid wastewater derived from processing of palm fruit. POME contains nitrogen, phosphate, potassium, magnesium and calcium compounds, that can be used as a good fertilizer for plantations. However, before application, POME must be processed because direct use of unprocessed POME can damage the environment. PT XYZ utilizes POME as raw material for biogas through an anaerobic fermentation process to produce alternative energy for electricity generation, however, biogas production at PT XYZ  produces CH4 levels that do not meet the desired standard, namely 60%, while the value obtained is still 57%, so it can occure an incomplete combustion process in the engine. Therefore, research was carried out to analyze the influence of POME's Chemical Oygen Demand (COD) and the pH of POME as biogas raw material on the CH4 produced. Meanwhile, based on measurements of POME pH, fluctuations are caused by environmental conditions, therefore before the feed enters the biodigester, the first treatment is increasing pH until 6-7 to adjust the optimal conditions for bacteria working to break down organic substances.  The results shows that the estimated potential for a Biogas Power Plant (PLTBg) with a production capacity of fresh fruit bunches (FFB) of 60 tons/hour, the high generating capacity is influenced by the large COD value, meaning that the COD value greatly influences the CH4 produced, but must also be in accordance with Other factors that influence CH4 production such as pH, temperature, stirring and others.

Natural disasters such as earthquakes, hurricanes, and floods pose significant risks to critical infrastructure. AI-driven disaster response systems provide real-time analytics, predictive modeling, and automated response strategies to mitigate damage and improve recovery efforts. This paper explores how AI-powered drones, satellite imagery, and sensor networks enhance disaster monitoring and decision-making. Additionally, the study discusses the role of AI in optimizing emergency resource allocation and predicting infrastructure vulnerabilities. Through an analysis of past disaster management strategies, this research aims to propose AI-integrated frameworks that enhance disaster preparedness and resilience.

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 study explores the discourse surrounding the Agus Salim donation controversy, focusing on how media narratives and legal rhetoric shape public perception. Drawing on two primary sources—articles from Brilio.net and KapanLagi.com—the research employs critical discourse analysis to examine the framing of key events, including allegations of donation mismanagement, legal strategies, and the public's reaction to the case. The findings reveal how media outlets construct competing narratives, emphasizing the roles of public figures, lawyers, and victims in influencing the discourse. By analyzing language use, power dynamics, and ideological positioning, this study highlights the interplay between legal rhetoric and public opinion in cases of social and moral significance. The research contributes to understanding how controversies are framed in digital media and their implications for justice and accountability in contemporary society.

The goal of this study is to maximize the Corruption Eradication Commission's (KPK) ability to stop corrupt activities. Within the executive power group, the Corruption Eradication Committee (KPK) is a state institution that exercises its authority and functions independently, unaffected by other powers. This study employs a qualitative approach and descriptive research methods. The study's findings indicate that while the Corruption Eradication Commission's (KPK) performance has improved, it is still not at its best. Corruption can result in large financial losses and erode public confidence in the government.

Microteaching is a simulation or training for prospective teachers to explore the ability of skills in teaching that combines the components of learning. The purpose of this study was to analyse the implementation of microteaching learning in terms of the use of various biology learning media with a touch of technology. The method used is descriptive quantitative with observation sheets and interviews. This research uses a squential explanatory design that combines quantitative and qualitative methods sequentially the first stage of collecting and analysing quantitative data followed by collecting and analysing qualitative data to help explain quantitative results. The results of the study regarding the pattern of using technology-based learning media showed that PowerPoint 92% and learning videos 78% were the most widely used media in microteaching practice. While the level of effectiveness of the media used varies. The 4.6% digital microscope showed a high level of effectiveness even though the frequency of use was still low. This indicates that high technology-based learning media has considerable potential in improving the quality of learning. Furthermore, the analysis of students' digital competence shows that 70% of students have good to very good mastery of technology. Furthermore, creativity in media development shows an even distribution while time management is still a challenge for 35% of students at a sufficient or insufficient level. The use of technology-based learning media in micro teaching has considerable potential, but still faces several challenges. A systematic and comprehensive approach is needed to optimise the use of technology in developing the teaching competence of prospective biology teachers.

Background: Tabanan Regency in Bali Province has a DHF incidence rate of 137.01 cases per 100,000 population, increase from 2022 to 2023, which was 80.82 cases per 100,000 population. Therefore, prevention efforts are needed to increase knowledge about the importance of DHF prevention. This health promotion aims to increase knowledge, understanding and behaviour of dengue prevention among primary school students. Methods: Health promotion activities were conducted offline on Monday, 6 May 2024. The target group of this activity were students in grades 4-6 of SDN 2 Denbantas. PowerPoint slides and posters were used to attract the interest of the extension participants. The evaluation of the results was carried out qualitatively (enthusiasm of the participants) and quantitatively (pre- and post-test results). Results: The health promotion activity was attended by 47 participants. Participants were very active in the question and answer session. Based on the identity data on the pre/post test sheets, most participants were in grade 6 (38%) and female (53%). A total of 37 participants (79%) showed an increase in score, 8 participants (17%) had a fixed score and a total of 2 participants (4%) showed a decrease in score on the post-test. Conclusion: There was an increase in participants' knowledge, as well as participants' enthusiasm and activity in listening to the counselling materials. In future health promotion activities, educational videos or other interactive media can be used to make more interesting and provide a deeper focus on the message so it can be conveyed more effectively.

In today's fast-paced business environment, decision makers face the challenge of processing large amounts of data to make accurate decisions. Data visualization has emerged as a powerful tool to help organizations overcome these challenges. By presenting data in a visually appealing and easy-to-understand format, decision makers can quickly gain insights into complex data sets and make informed choices that drive business growth. This analysis aims to explore the impact of data visualization on business decision-making, focusing on the benefits of data visualization. This data analysis method will specifically investigate how data visualization can improve the decision-making process in the context of complex and large data sets, offering valuable insights in optimizing business operations. Demonstrating that interactive data visualization platforms such as Tableau play an important role in improving decision-making by providing real-time insights, identifying market trends, and enabling faster response to changes.

This research aims to analyze the market power of the company PT. Hexa Karya Utama uses the Lerner Index as a measuring tool. The Lerner Index is an indicator that describes a company's ability to set prices above marginal costs, which reflects monopoly power and market power. In the context of the timber industry, where competition is increasingly fierce, understanding market forces is crucial for effective business strategies. The analysis results show that PT. Hexa Karya Utama has a significant Lerner Index value, which indicates quite good market strength.

Corruption is one of the biggest problems that hinders Indonesia's progress, even though this country uses Pancasila as the basis of the state. Pancasila should be a moral guideline in every aspect of national and state life, including in preventing corruption. This study aims to analyze the causes of corruption in Indonesia in various professions, as well as to examine the relationship between the application of Pancasila values and corrupt practices in this country. The study uses a library method by analyzing 47 articles and journals from 2020-2024. The research findings show that the main causes of corruption in Indonesia include weak law enforcement, a deep-rooted culture of corruption, inability to manage power, and socio-economic disparities.  

This study compares the performance of two leading mobile operating systems, iOS and HarmonyOS, focusing on technical aspects such as power efficiency, application response speed, background application management, and graphics rendering performance. Using a literature review method, data was collected from scientific sources, comparative reports, and official documents. The analysis results show that iOS excels in hardware-software integration, providing high energy efficiency and stable performance, especially on mobile devices. In contrast, HarmonyOS stands out for its flexibility and multi-device integration, making it ideal for the IoT ecosystem. However, this flexibility has limitations on energy efficiency and performance of some devices. The study concludes that iOS is suitable for users who prioritize a stable and exclusive experience, while HarmonyOS is more ideal for those who need the flexibility of an open ecosystem.    

By modifying three traditional canting designs using the House of Quality (HoQ) method, this article discusses the development of a portable electric canting. The main focus of this research is to use electrical technology to improve the convenience and efficiency of the batik-making process. Each new design has a recharging system that allows the user to recharge the power source. User needs and wants were discovered and incorporated into the technical specifications of each design through HoQ analysis. Research shows that these changes not only improve tool performance but also make the batik-making process safer and more environmentally friendly. Therefore, through the development of relevant and sustainable technologies, this project contributes to the preservation of Indonesia's batik culture.    

The government plans to increase the Value Added Tax (VAT) rate by 1%, from 11% to 12% in 2025. This policy has certainly triggered various reactions in society, from support to concern, especially regarding its impact on the prices of basic necessities and people's purchasing power. Value Added Tax (VAT) is a tax levied on the consumption of goods and services within the Customs Area, imposed at each stage of production and distribution. VAT collected by the central government applies to the purchase and sale of certain goods and services, such as motor vehicles, houses, and internet services, which will be subject to the 12% VAT rate. The Minister of Finance emphasized that the increase in VAT rates does not apply to people's basic needs.  Basic necessities, as well as critical services like healthcare and public education, will remain exempt from VAT or will be subject to lower rates. Secretary of the Coordinating Ministry for Economic Affairs, Susiwijono Moegiarso, said that the technical details of implementing 12 percent VAT will be contained in the Minister of Finance Regulation (PMK) which is currently being drafted by the Ministry of Finance (Kemenkeu). Will this policy become an obstacle to national economic growth, especially in the public purchasing power sector? What are the impacts on purchasing power, the business world and economic recovery? What are the government's steps to reduce the negative impacts of this policy

The theme of God's provision in limitations is highly relevant to theology students, who often face various challenges in their academic and spiritual journeys. The story in 2 Kings 4:42-44, where the prophet Elisha distributes twenty barley loaves to a hundred people, provides a powerful illustration of how God can turn limitations into blessings. Theology students often feel inexperienced and limited in resources to serve the community, but Elisha's example teaches that intention and trust in God are far more important than the amount of resources one has. Limitations can also trigger a crisis of faith, especially when the demands of academics and daily life increase. Therefore, it is important for students to realize that limitations are not obstacles to God, but opportunities to experience His love and power. This paper aims to explore how God's provision in limitations can be the basis for learning faith that shapes the character and ministry of theology students. By understanding this concept, it is hoped that students can serve sincerely and trust in God in every aspect of their lives.