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The change in marketing behavior from conventional to digital is not balanced by the existence of MSMEs who use digital marketing, even though MSMEs are believed to be able to spur the Indonesian economy. The use of digital technology-based marketing concepts is a hope for MSMEs to develop into centers of economic power. Digital marketing promotional media is expected to be an effective choice for MSMEs in developing their business and reaching national and international markets. Conventional promotional media that require a lot of money and are much more complicated are no longer the main concern for MSMEs because of digital marketing.

Providing education to the public by using bay leaves as a preparation will increase public awareness of the plants that grow in Indonesia, which are rich in health benefits, thereby increasing public enthusiasm. Bay leaves combined with white rice powder are often used as a moisturizer so they are made into a body scrub preparation that can increase moisture into the skin for better. The aim of this service is that the community is expected to provide education about bay leaves and white rice powder in Klambir V Village, Medan, Indonesia. This community service method was carried out using leaflets, modules, power points and presentations to the community. The result of this service was an increase in public knowledge of tamarind fruit as an antioxidant by 85%..

Indonesian language holds a strategic role as a tool of cultural diplomacy on the international stage. As a symbol of national identity, it is utilized to showcase Indonesia's cultural richness through various programs such as Bahasa Indonesia for Foreign Speakers (BIPA) and the use of digital media. This strategy not only strengthens Indonesia’s positive image globally but also promotes harmonious international relations based on soft power. Despite challenges in digitalization and cross-sector coordination, the Indonesian language has great potential to become a leading language in Southeast Asia. Through innovative approaches and cross-sector collaboration, cultural diplomacy based on the Indonesian language is expected to contribute to better global relations.

The integration of Islamic education into a nation’s educational system represents a strategic effort to align religious and national educational objectives under a unified policy framework. In many Muslim-majority countries, the responsibility for managing Islamic education is delegated to local governments as part of a broader national consensus involving various educational stakeholders. This arrangement, however, often raises tensions because education policy is inherently a political decision influenced by state interests and ideological considerations. The process of incorporating Islamic education within the national system reflects the dynamic interplay between religion and politics, where Islamic education both shapes and is shaped by political structures. This study explores how political power affects the development, autonomy, and implementation of Islamic education policies. The objective is to highlight the challenges of maintaining educational freedom and religious authenticity while ensuring state oversight and quality assurance. The findings emphasize that a deep understanding of educational politics enables Muslim educators and policymakers to advocate for Islamic education that aligns with Islamic principles yet remains relevant within the national educational framework. Therefore, the balance between state control and institutional independence is essential in realizing the holistic goals of Islamic education in contemporary society.

In the current era of globalization and technology, computers, RFID are examples of information technology tools that are indispensable for meeting human needs in almost every aspect of life, including the management of infrastructure and equipment lending.According to direct research at Widya Praja Ungaran Vocational School, there are only two workers who handle facilities and infrastructure. In carrying out their work assignments, they still experience difficulties. Excess workload and the process of borrowing tools that still lacks a sense of responsibility, so that the results of the work are not maximized.The existence of increasingly sophisticated technology, the management of infrastructure and equipment lending can be done with the help of technological tools that will be implemented in this school. This research aims to make it easier to administer, because this school has not yet added a new workforce.This research can be designed with the help of software (Bootstrap, MySql), programming (PHP, Arduino IDE) and equipment (NodeMCU ESP8266, RFID, LCD, I2C, buzzer, power supply, breadboard, jumper cables, resistors, LEDs) to provide data information. more accurate, effective, efficient and provide a good working atmosphere in this school. It is hoped that this research can reduce work overload and create a sense of responsibility in borrowing equipment, using local networks (wifi / handphone) and computers or laptops, with the research method used is research and development (R&D).

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.

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.

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.

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 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.

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.

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.

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.

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 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.

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.    

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.