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Rapid developments in the digital era offer vast opportunities for young entrepreneurs, while also bringing complex challenges. Technological advances have opened up opportunities for wider access to information and markets. However, the challenges of fierce competition and changing technological dynamics are the main obstacles that need to be overcome. Young entrepreneurs must have the ability to adapt to the latest technological developments, such as digital marketing and artificial intelligence, while understanding how consumption patterns are changing with greater emphasis on convenience and personalization. However, overcoming dependence on digital platforms and resource limitations need to be overcome. In overcoming this situation, young entrepreneurs need to use technology to increase efficiency, be creative in creating new products and services, as well as expand networks and collaborate strategically. By managing finances wisely and being able to adapt to changes, it is hoped that young entrepreneurs can continue to exist and grow, and achieve success in an ever-changing global market, Young entrepreneurs in the digital age face big challenges along with advances in technology and changes in consumer behavior. However, with the right strategy, these obstacles can be turned into opportunities for growth and success. Utilizing technology, product innovation and digital marketing can increase efficiency, reach a wider market and increase profits. The ability to overcome digital challenges well opens up opportunities for young entrepreneurs to dominate the market, improve business reputation and achieve long-term growth. Adapting to change quickly will increase competitiveness and support sustainable growth.

As a popular platform, Windows faces increasingly complex and diverse malware threats. This research evaluates Windows security weaknesses and finds effective methods of mitigating malware attacks. To ensure the validity of the results, the analysis was conducted through literature review, protection method evaluation, and data triangulation. The results show that layered protection methods, which include implementing firewalls, antivirus, and regular system updates, are highly effective in combating different types of malware, such as ransomware, trojans, and spyware. In addition, the use of machine learning and artificial intelligence helps detect threats in real-time. This research provides practical advice for developers and users on how to improve Windows security through a combination of proactive and reactive measures. It also suggests that users be more aware of cybersecurity. The results of this research are expected to serve as a reference for the development of more secure operating systems in the future.

This research develops a fruit classification system using Convolutional Neural Network (CNN) in the educational application FruityLens, which helps children recognize different types of fruits through image recognition. The application can identify four types of fruits: apple, banana, orange, and watermelon, utilizing an image dataset from open sources. The research methods include dataset collection, image pre-processing, CNN model training, and classification accuracy evaluation. The results indicate that the developed CNN model achieves high accuracy, supporting children's learning about fruits. This implementation is expected to contribute to the advancement of artificial intelligence technology, specifically in the field of fruit object recognition.

The development of intelligent multimedia technology has had a significant impact on various sectors, especially in education, social, and cultural fields. This article discusses the latest trends in the use of intelligent multimedia and related technologies such as Artificial Intelligence (AI), Internet of Things (IoT), and Virtual Reality (VR), which have transformed the way we learn and interact with the world around us. In the context of education, intelligent multimedia enables a more personalized and adaptive approach to students' needs, enhancing educational accessibility, and reducing the educational gap between urban and rural areas. This technology also contributes greatly to creating a more interactive and engaging learning environment. On the other hand, the use of intelligent multimedia in social and cultural fields opens up opportunities to enrich local identities in the face of globalization, by incorporating traditional cultural elements into technology-based product designs. However, despite its many benefits, the implementation of intelligent multimedia technologies faces various challenges, such as infrastructure issues, limited budgets, and resistance from some educators who are not yet familiar with new technologies. Therefore, it is essential to ensure adequate digital literacy so that future generations can fully utilize this technology responsibly. In conclusion, intelligent multimedia has great potential to improve the quality of life, but its application must be carried out wisely, taking into account long-term impacts on society and culture.

The use of artificial intelligence is projected to have a significant impact on the preparation of regional government financial reports, especially in terms of reliability and efficiency. This research aims to analyze the use of AI in preparing regional government financial reports which was previously carried out conventionally and the challenges faced by regional governments in adopting it. This research uses a literature study method to identify trends and findings related to the use of AI in regional financial accounting. The research results show that AI is able to increase efficiency and reliability, although there are challenges in its application, such as the need to adapt and improve the quality of human resources and vulnerabilities in financial data security.

This study analyzes the differences and similarities of internal audit quality in the public sector and private sector using a literature analysis approach. The main objective was to explore factors that affect audit quality, such as auditor independence, competence, transparency, and accountability. The results show that the public sector often faces challenges in maintaining auditor independence due to the influence of bureaucracy and politicization. However, the sector has advantages in transparency and accountability, which support public trust in the management of public funds. In contrast, the private sector excels in operational efficiency and flexibility, supported by the use of modern audit technology and leaner organizational structures. Despite the differences, both sectors require high auditor competence and strong internal control systems to ensure audit effectiveness. This research suggests strengthening auditor training, implementing modern audit technology, and increasing collaboration between internal and external auditors to ensure audit objectivity and quality. In addition, further studies are recommended to explore the impact of applying new technologies, such as big data and artificial intelligence, and conduct cross-sectoral comparisons to understand audit implementation globally.

Along with the development of technology in the digital era, Islamic accounting has increased from year to year. Life in accounting such as reading, recording, and calculating is now starting to be transferred to technology. This study was conducted to determine the impact of digitalization on Islamic accounting in Indonesia, as well as the opportunities and challenges for the Islamic accounting profession. Digital transformation includes the application of these innovations such as financial technology (fintech), blockchain, and artificial intelligence in the context of Islamic finance. This article discusses the opportunities and challenges faced by Islamic financial institutions in implementing Islamic accounting in the digital era. On the one hand, digitalization opens up opportunities to increase efficiency, accuracy, and transparency in Islamic financial reports, as well as expand public access to Islamic-based financial products. On the other hand, challenges related to the complexity of integrating digital systems that comply with Islamic principles, data security, and effective supervision are still important issues. The results of this study indicate that digitalization has a significant influence on the growth of Islamic-based accounting, especially in Indonesia.  

The rapid development of artificial intelligence (AI) presents new challenges and opportunities in various fields, including in Christian religious education. This article discusses how Christian Religious Education (PAK) and its curriculum can respond to the dynamics presented by AI technology. This article uses a descriptive qualitative method based on literature and scientific journals. The main sources of this research are taken from various literature and scientific journals that are relevant to the research topic. The main focus lies in the adjustment of learning materials that are relevant to the needs of the times, the formation of Christian ethics in the digital era, and the importance of maintaining spiritual values ​​amidst technological developments. The use of Artificial Intelligence (AI) in PAK still adheres to the principles of Christian ethics and values. Theological understanding of the role of humans, morality, and their relationship with the creator is described in the perspective of Christian ethics towards artificial intelligence (AI). The Role of Humans in the Process of Christian Religious Education related to the application of AI involves deep reflection on the relationship between Bible verses and the implementation of artificial intelligence in religious education. In addition, this article explores the potential use of AI in the learning process, such as through personalization of education and increasing interaction between teachers and students. It is hoped that with proper adaptation, PAK can remain relevant and provide a solid foundation of faith for future generations in facing the challenges of modern technology.

In today’s era, social media has become a driving force for increasing digital entrepreneurship. Businesses are utilizing social media sites such as Instagram, TikTok, LinkedIn, or even Facebook to brand their companies or products and interact with clients. This is great news for businesses, especially SMEs, to have low-cost access to key markets worldwide. One evident trend is the emergence of social commerce – business-to-consumer commerce without intermediaries, exclusive of other e-commerce models. However, the adoption of social media in digital entrepreneurship comes with several challenges, such as changes in algorithms that can affect content visibility and risks related to data security and user privacy. Nevertheless, social media remains useful in terms of analytics to support strategic decisions. This study shows the value of social media for entrepreneurship and technologies that help improve content personalization and consumer behavior analysis, such as artificial intelligence and big data. This study attempts to fill the gap in the literature by looking at the differences in the outcomes of social media use in developing and developed countries and the outcomes of new technologies on digital business ventures.

The training and mentoring activities for the use of Artificial Intelligence (AI) tools for teachers were chosen with the aim of enhancing or improving teachers’ understanding and ability to implement AI technology in the educational environment. Initial interviews revealed a lack of knowledge and skills among teachers in utilizing AI tools, which affects the quality and effectiveness of learning. The methods applied in this community service include counseling and training, preceded by surveys and interviews. Teachers were given intensive training that included an overview of AI and how to apply AI tools in the teaching and learning process. Additionally, there was an implementation phase that required teachers to design and implement simple AI-based learning applications as supporting media. The AI tools used included Gamma, IlovePDF, chatPDF, and ChatGPT. The results showed significant improvements in teachers’ understanding and skills in using AI tools. Teachers were able to create AI-based learning applications aimed at enhancing interaction between teachers and students. Furthermore, teachers could reduce administrative workload and optimize resources. Thus, the use of AI can have a positive effect on the quality of learning. The implementation of AI also facilitates teachers’ work in managing administration, such as handling attendance, assessments, and lesson planning.  

Artificial Intelligence (AI)plays a vital role in criminal investigations, offering innovative solutions to challenges faced by law enforcement. With its fast and accurate data analysis capabilities, AI can identify behavioral patterns, detect anomalies, and predict potential crimes. Technologies such as facial recognition, social network analysis, and natural language processing help speed up the investigation process and improve prosecution effectiveness. However, the application of AI also raises ethical challenges, including privacy issues and potential bias in algorithms. Therefore, it is important to develop a framework that ensures the responsible use of AI in a legal context.    

Unmanned Surface Vessels (USV) have become a major focus in modern maritime technology for mine search and handling. Unmanned vessels are equipped with advanced sensors such as sonar and lidar to detect and map mines below the water's surface. In addition, image processing systems and artificial intelligence are used to analyze sensor data and identify mine locations with high accuracy. Once a mine is detected, the unmanned vessel is equipped with a mine handling system that can safely destroy or deactivate the mine. Thus, unmanned vessels are an effective and efficient solution in searching and handling mines in potentially dangerous waters. This study discusses the selection of unmanned vessels as a solution to search for and neutralize mines. This study was conducted quantitatively using the Analytical Hierarchy Process (AHP) method to determine recommendations for Unmanned Vessels with Mine Countermeasure capabilities to the Indonesian Navy. The results of the quantitative study showed the priority of the criteria that would later narrow down to the priority of selecting an Unmanned Vessel from several alternative choices analyzed by the researcher. Theoretically, all previous theories and studies can be used in this study so that they can be utilized in subsequent studies. While practically this study provides recommendations for the Indonesian Navy regarding the characteristics of the Unmanned Axe and various supporting equipment that can be used to carry out Mining Operations and Mine Countermeasures Operations. The calculation results in this study indicate that the priority of the alternative Unmanned Vessel with the highest Mine Countermeasures capability is obtained by Inspector 125 from France with a weight of 0.37450145.

In the midst of increasingly rapid technological developments, Artificial Intelligence (AI) technology has also been formed as a form of development. The presence of AI technology helps many people complete their work. Including strategic activities in the decision-making process for business development. This research aims to discuss the role of artificial intelligence technology in improving decision making in the business development process by focusing on the Management Information Systems (SIM), Micro, Small and Medium Enterprises (MSMEs), and finance sectors. With a literature review used as a comprehensive research method, it involves collecting and analyzing articles related to the topic from various academic sources. The research results show that Artificial Intelligence (AI) can improve the efficiency and accuracy of decision making through in-depth analysis and algorithm-based predictions. In the Management Information Systems (MIS) sector, artificial intelligence contributes to business automation processes and information management, in the MSME sector, artificial intelligence helps in understanding consumer behavior and market trends. Meanwhile, in the financial sector, AI plays an important role as a risk analyst, financial manager and investment manager. This research is expected to provide knowledge for corporate organizations about the role of artificial intelligence technology in improving the decision-making process.

This article examines the impact of artificial intelligence (AI) on human rights, focusing on issues such as discrimination, transparency, and accountability. The research analyzes AI applications in areas like law enforcement, employment, and social media, evaluating how AI can both enhance and threaten human rights. The study calls for the development of AI regulations that uphold human rights principles and prevent misuse.

The low level of literacy in the digital era is one of the main challenges facing Indonesia including in Dersalam Village, Kudus Regency, Central Java. Digital literacy, containing the ability to access, manage, and evaluate sources of information is essential for boosting productivity in people’s lives. PPK Ormawa program from Universitas Muria Kudus took place in Dersalam Village aiming to improve digital literacy among the community by establishing five Reading Corners, Technology Reading Corner is one of it. This program is implemented within three stages: observation, setting up the spot, and conducting educational activities from August to November 2024. At the Technology Reading Corner, People are trained to use Microsoft Office, and are introduced to future technologies such as Artificial Intelligence (AI). The results indicate an increase in the community’s learning interest and digital skills, particularly in operating technological devices to support their daily activities and even their entrepreneurship. Through this initiative, there is a strong hope that Dersalam can become one of a smart village, more adaptive to technological advancements, by enhancing the digital literacy of their people as a first step toward sustainable social transformation.

The function of artificial intelligence (AI) in creating a positive consumer experience on the Shopee e-commerce platform is covered in this study. Nowadays, artificial intelligence (AI) plays a significant role in the e-commerce sector, allowing businesses to offer more individualized, quick, and safe services. This study examines how Shopee customer satisfaction and loyalty are impacted by the use of AI technologies, including chatbots, tailored product suggestions, fraud detection, and inventory management. This study found that AI plays a significant role in making shopping more responsive and convenient by analyzing data on the use of chatbot services, the efficacy of personalized recommendations, the accuracy of predicting customer needs, transaction security, and the efficiency of logistics management. According to the study's findings, implementing AI technology reduced service response times by up to 20% and increased customer satisfaction by 15%. In addition to enhancing service quality, the use of AI increases Shopee customer loyalty. These results demonstrate how AI in e-commerce holds enormous promise for fostering startup expansion and enhancing client connections.

Batam City as a center of industry and trade has a large market The city of Batam, as an industrial and trade hub, holds significant market potential for the utilization of digital technology. While Batam has established infrastructure that facilitates inter-island access, digital transformation has yet to reach the smaller surrounding islands. The application of Artificial Intelligence (AI) remains relatively unfamiliar to many communities on islands outside Batam. The objective of this training, organized by the student boarding school of UPN Veteran East Java, is to provide an in-depth understanding of digitalization and AI concepts in digital marketing as a means to support the economy of Batam Island’s communities. This Community Service Program (PKM) is implemented through socialization on AI concepts, the positive potential impacts of AI, and practical AI application workshops, in collaboration with the Director of the SPMAA Batam Foundation and ICT volunteers. The results of this PKM activity indicate a high level of enthusiasm among the community to learn about AI concepts and their use in marketing products on social media. Through this training, it is expected that MSME owners and the entire community on Batam Island will benefit from technological advancements, particularly AI, and that it will support the government’s efforts in promoting equitable digital transformation across Batam Island.

Artificial Intelligence (AI) has increasingly become an integral component of modern education, offering significant opportunities to improve accessibility, efficiency, and personalized learning. This study explores students’ perceptions of AI in educational contexts, focusing not only on its practical benefits but also on ethical concerns, particularly regarding data privacy and social responsibility. Adopting a mixed-method design, the research collected data through surveys and classroom observations. The survey responses were analyzed using descriptive statistics to identify trends in perceptions, while observation notes were thematically coded to capture students’ real interactions with AI applications. The findings reveal that students generally exhibit a positive attitude toward AI, recognizing its potential to enhance learning experiences by making education more accessible and efficient. However, the study also highlights that concerns over data privacy and the potential misuse of information remain central issues. Moreover, a notable gap exists between students’ appreciation of the practical benefits of AI and their awareness of ethical dimensions such as algorithmic bias and digital responsibility. This imbalance suggests that while students are ready to embrace AI as a tool, they may not yet be adequately prepared to address the broader ethical implications of its use. The discussion situates these findings within the framework of digital ethics, emphasizing the need for education systems to integrate ethical literacy alongside technological skills. By doing so, schools and universities can ensure that students are both technologically competent and socially responsible. The study concludes that although AI is welcomed in educational settings, greater emphasis on digital ethics education is essential to maximize its benefits and minimize potential risks. This research provides a basis for future studies on policy development and ethical practices for AI in the classroom.

The Industrial Revolution 4.0 era has brought significant changes in various aspects of life, including social relations in society. Digital technologies such as social media, the internet of things (IoT), and artificial intelligence (AI) have become an integral part of human interaction. This article aims to analyze the influence of the use and implementation of digital technology on the pattern of social relations in society. This study uses a qualitative method with an in-depth literature approach. The results of the analysis show that although digital technology provides convenience in communication, there are negative impacts such as decreased face-to-face interaction and increased social isolation.

Energy efficiency has become a critical focus in manufacturing plants due to rising operational costs and increasing environmental concerns. The growing importance of energy management is driven by the need to reduce energy consumption, lower emissions, and enhance overall operational efficiency. Traditional maintenance practices, such as reactive and preventive maintenance, often lead to unnecessary downtime, high repair costs, and inefficient energy usage. In contrast, predictive maintenance (PdM), supported by Internet of Things (IoT)-enabled sensor networks, offers a proactive approach to minimizing energy waste by predicting equipment failures before they occur. This study develops a predictive maintenance framework using IoT-based sensor networks to optimize energy usage and reduce energy losses in manufacturing plants. The research begins with an overview of IoT sensor network architectures and their applications in industrial automation, including sensors such as temperature, vibration, and pressure sensors. It explores predictive analytics techniques, such as machine learning and artificial intelligence, used for failure prediction, which are key to enhancing energy efficiency. The study emphasizes how predictive maintenance contributes to industrial sustainability by reducing carbon footprints and optimizing energy consumption. The research methodology involves the installation of IoT sensors in critical machinery, real-time data analysis using machine learning algorithms for failure prediction, and energy consumption measurement before and after implementing IoT-based interventions. The results show significant improvements in energy consumption efficiency and operational productivity. Predictive maintenance led to reduced unplanned downtime, increased equipment reliability, and a more sustainable manufacturing process. However, challenges such as sensor integration, initial setup costs, and data security concerns were identified. The study concludes with recommendations for integrating IoT-based predictive maintenance systems into manufacturing plants to further optimize energy usage and promote sustainability.