Publication Search

This study examines the relationship between social support and subjective well-being among students at Universitas Islam 45 Bekasi. College students, transitioning from adolescence to adulthood, often face academic pressures and life challenges impacting their well-being. This study use a quantitative correlational design and involved 134 students selected through simple random sampling, with the sample size determined via G*Power using a medium effect size. Data collection utilized validated and reliable subjective well-being and social support scales. Data analysis included assumption tests (normality and linearity) and hypothesis testing with simple regression and Spearman correlation. The findings reveal that social support significantly influences subjective well-being, indicating that higher social support corresponds to greater well-being levels. This highlights the importance of developing social support programs in universities to enhance student well-being. Future research could broaden the scope by involving students from diverse universities and incorporating additional variables, such as self-efficacy or coping strategies, to deepen insights into factors influencing subjective well-being.

Artificial Intelligence (AI) has brought changes in various sectors including education, particularly at the secondary school level. This study aims to analyze the role of AI in improving academic learning, identify the positive impact of AI implementation in the education sector, and compare the effectiveness of AI-based learning with conventional methods. Using the Systematic Literature Review (SLR) method, this study analyzed 50 scientific articles published between 2019-2024 from ScienceDirect, IEEE, Semantic Scholar, and Google Scholar databases. The results showed that the implementation of AI improved students' academic performance by 23% compared to traditional methods, with an increase in students' learning motivation by 35%. In the aspect of adaptive learning, AI shows an increase in learning effectiveness by 30% and increases student participation in distance learning by 40%. Comparison with conventional methods shows the superiority of AI-based learning in material personalization (90% vs 60%), feedback system (85% vs 40% responsiveness), and student engagement (75% vs 45%). However, the research found that optimal results are achieved through blended learning that combines the power of AI with the social interaction of conventional learning.

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 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.

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 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%..

Non-communicable diseases (NCDs) are chronic diseases, not transmitted from person to person. PTM has a long duration and generally develops slowly. Based on the results of interviews with housewives in Poto Village, information was obtained that people regularly consume vegetables, but fruit is still very rare. Side dishes include fish, tofu and tempeh and meat made in various variants. Consuming fast food such as instant noodles and fried foods is still a habit among people.  Based on the background above, educational activities related to a balanced diet need to be conveyed to the public. This service aims to increase housewives' understanding of a balanced diet as an effort to prevent NCDs in Poto Village, Moyo Hilir District. Community service activities are carried out through providing education through health instructors using power point media. To evaluate the success of outreach activities in increasing housewives' knowledge about preventing NCDs, a series of pre-test and post-test activities were carried out. The results of the service show that there is an influence of the counseling given on increasing housewives' knowledge about a balanced diet as an effort to prevent NCDs.

One of the plants that can be used as a pain reliever is Nutmeg Leaves. One of the compounds contained in nutmeg leaves is phenolic compounds. These phenolic compounds play a role in the treatment and prevention of diseases including as antioxidants and are able to overcome health problems such as lower back pain. Purposes : to provide information about the benefits of boiled water from nutmeg leaves to overcome Low Back Pain (LBP) or lower back pain in the community in Boiyauw Village, Banda, Maluku. Method: by providing information through health education. The media used are leaflets, power point presentations, samples of boiled water from nutmeg leaves. Results: It is expected that there will be changes in participant behavior when positioning themselves at work and that they can utilize nutmeg leaves as a family medicinal plant to reduce or relieve lower back pain.

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.