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The advancement of Artificial Intelligence (AI) technology has significantly influenced guidance and counseling services, particularly through the use of chatbots, e-counseling, and digital-based psychological analysis systems. This study aims to analyze the collaboration between AI technology and counselors’ interpersonal skills within the context of Islamic counseling. The research employed a qualitative approach using a library research method. Data sources were obtained from various relevant journals and scientific articles accessed through Google Scholar. Documentation techniques were applied for data collection, while the data were analyzed using descriptive-analytical and thematic approaches. The findings reveal that AI can enhance counseling services through greater efficiency, effectiveness, and accessibility without limitations of time and place. In addition, AI assists counselors in managing data, identifying clients’ problems, and providing quick initial responses. Nevertheless, AI cannot fully replace the role of counselors because it still lacks the ability to deeply understand empathy, build interpersonal relationships, provide emotional support, and comprehend spiritual values that are essential in Islamic counseling. Therefore, the implementation of hybrid counseling, which combines AI technology with human counselors, is considered more appropriate. In this model, AI functions as a supporting tool or co-counselor, while counselors continue to play the primary role in establishing therapeutic, humanistic, and religious relationships with clients. This study emphasizes that the integration of AI technology and counselors’ interpersonal skills is an important strategy in creating modern, effective, and human-oriented counseling services.

An expert system is artificial intelligence that imitates the ability of an expert to solve problems in a certain domain. Utilizing a knowledge base and specified rules, the expert system provides advice or decisions that approach human expertise in this specific field, especially regarding cholesterol disease for teenagers, cholesterol disease can cause death in a person so it needs initial treatment as a diagnosis. In this regard, an expert system application is needed to diagnose cholesterol disease for users which supports the diagnosis process using the certainty factor method, based on the certainty factor which has a concept based on symptoms and diagnosis from the weight of an expert's value and the user's value, then calculated using the certainty factor formula, The final result is the creation of an expert system application for diagnosing cholesterol disease using a website-based certainty factor method.

The aim of this research is to understand and comprehend the urgency of implementing Artificial Intelligence in service business transactions as well as the application of the Consumer Protection Law in regulating business transactions using Artificial Intelligence. This research was conducted using a type of normative legal research supported by empirical data. In research activities, researchers also use data collection techniques through interviews and documentation. Based on the research that has been carried out, the results show that the implementation of Artificial Intelligence in business transactions provides a number of significant benefits in business. This includes increased operational efficiency, better data analysis, being able to answer messages automatically and the ability to make decisions in a more timely manner. In addition, the application of the Consumer Protection Law in business transactions using Artificial Intelligence is very important to maintain consumer rights and security.

Integrating deep learning methodologies is pivotal in shaping the continuous evolution of computer-aided design (CAD) and computer-aided engineering (CAE) systems. This review explores the integration of deep learning in CAD and CAE, particularly focusing on generative models for simulating 3D vehicle wheels. It highlights the challenges of traditional CAD/CAE, such as manual design and simulation limitations, and proposes deep learning, especially generative models, as a solution. The study aims to automate and enhance 3D vehicle wheel design, improve CAE simulations, predict mechanical characteristics, and optimize performance metrics. It employs deep learning architectures like variational autoencoders (VAEs), convolutional neural networks (CNNs), and generative adversarial networks (GANs) to learn from diverse 3D wheel designs and generate optimized solutions. The anticipated outcomes include more efficient design processes, improved simulation accuracy, and adaptable design solutions, facilitating the integration of deep learning models into existing CAD/CAE systems. This integration is expected to transform design and engineering practices by offering insights into the potential of these technologies.

This paper explores the relationship between digital transformation and entrepreneurial innovation within emerging economies. As the world becomes increasingly digitized, entrepreneurs are leveraging new technologies to innovate and create disruptive solutions. The study examines how digital tools, such as artificial intelligence, blockchain, and cloud computing, are being utilized by entrepreneurs to enhance productivity, streamline operations, and develop new business models. The research highlights key success factors, challenges, and opportunities faced by entrepreneurs in emerging markets and provides recommendations for integrating digital transformation into entrepreneurial strategies.

Generative artificial intelligence tools have recently attracted a great deal of attention. This is because of their huge advantages, which include ease of usage, quick generation of answers to requests, and the human-like intelligence they possess. This paper presents a vivid comparative analysis of the top 9 generative artificial intelligence (AI) tools, namely ChatGPT, Perplexity AI, YouChat, ChatSonic, Google's Bard, Microsoft Bing Assistant, HuggingChat, Jasper AI, and Quora's Poe, paying attention to the Pros and Cons each of the AI tools presents. This comparative analysis shows that the generative AI tools have several Pros that outweigh the Cons. Further, we explore the transformative impact of generative AI in Natural Language Processing (NLP), focusing on its integration with search engines, privacy concerns, and ethical implications. A comparative analysis categorizes generative AI tools based on popularity and evaluates challenges in development, including data limitations and computational costs. The study highlights ethical considerations such as technology misuse and regulatory challenges. Additionally, we delved into AI Planning techniques in NLP, covering classical planning, probabilistic planning, hierarchical planning, temporal planning, knowledge-driven planning, and neural planning models. These planning approaches are vital in achieving specific goals in NLP tasks. In conclusion, we provide a concise overview of the current state of generative AI, including its challenges, ethical considerations, and potential applications, contributing to the academic discourse on human-computer interaction.  

The rise in the phenomenon of using Artificial Intelligence such as ChatGPT and the very high trust of the Indonesian people in the development of Artificial Intelligence, especially the Gen Z generation group with Higher Education status (students), has given rise to debate in terms of the impact of its uses as a technology that helps the learning process. On the positive side, ChatGPT can provide personalized and interactive learning, while on the negative side, ChatGPT can provide incorrect and inaccurate information. Meanwhile, penetration of its uses can no longer be avoided because it is easy to access, so the good and bad sides will continue to be felt, especially for its users. Moreover, until now there is still very little research on how this technology can help fulfill the needs of students within the research campus, especially the most important need for them as someone who is pursuing higher education, namely the need for satisfying learning. Therefore, this research aims to explain the relationship between the uses of ChatGPT and the fulfillment of learning needs for students at the Faculty of Communication Sciences, Padjadjaran University with the help of the Uses and Gratification theory approach. The research method usesd is a quantitative method with a type of correlational study design using the Spearman Rank correlation test The results of this study show that there is a positive and significant relationship between the uses of ChatGPT and fulfilling the learning needs of students at the Faculty of Communication Sciences, Padjadjaran University with a correlation coefficient of 0.834. So, it can be concluded that the higher the uses of ChatGPT, the higher the fulfillment of students' learning needs, which means that frequent uses of ChatGPT can indicate that it is closely related to satisfying learning needs.

The development of Artificial Intelligence has changed the way accountants work.. This study reviews the latest advancements in Artificial Intelligence, Big Data, and Machine Learning and how they are used in accounting for businesses around the world. The writer looks at how accounting has changed over time because of new technology. They also study how big companies use technology and how it will continue to affect accounting. Also, the study used a method that described and explained things in detail. The researcher looked at information from previous studies to learn more about a topic. This study looks at how accountants use new technology and discusses what the accounting profession needs to do to get ready for the future.

The era of globalization that we are living in has brought major changes in various aspects of human life. In the midst of the era of globalization, new challenges and opportunities emerge. Society is becoming more open to different cultures and world views. The birth of artificial intelligence (AI) has become a historical milestone that defines the journey of human technology. However, the role of AI is not only limited to the business sector. In everyday life, we interact with virtual assistants, recommendation systems, and other AI technologies. Qualitative research is a research approach that aims to understand and explain social phenomena through in-depth analysis of non-numerical data. This research method is more inductive, where theory develops as data is collected and analyzed. The data collection process in qualitative research involves direct interaction with participants (interviews and FGDs), in-depth observation, or data analysis. Qualitative data analysis involves the process of coding, categorizing, and organizing patterns of findings. Using qualitative analysis software such as NVivo or Atlas.ti can make complex data management and analysis easier. The time period used in this research is 4 months, starting September 2023 – December 2023. The research results show that AI can have both positive and negative influences on Generation Z. Apart from that, AI is also able to have positive and negative impacts on Generation Z. This research even shows extraordinary and unexpected findings.

Recent developments in information and communication technology such as artificial intelligence (AI) provide new opportunities to increase the efficiency and accuracy of performance assessment. The impact of the COVID-19 pandemic and the shift to a remote work model has created a need for technology solutions to unify and transmit the performance of employees working from multiple locations. The use of technology in performance management evaluations may raise concerns regarding data security and privacy, inconvenience or resistance to employees or stakeholders. Not all employees or managers have the same level of skill and understanding of the technology being implemented and it requires a high initial investment in maintenance and upgrades. This article provides an understanding of how technology can be applied in management performance evaluation and its benefits in increasing efficiency, objectivity and accuracy in employee assessment as well as providing recommendations for innovation and changes in the use of technology in management performance evaluation. The methodology used is a qualitative method by collecting data from various information sources. Some of the positive impacts of implementing technology in performance evaluation management are increased efficiency and productivity, real-time feedback, increased objectivity and fairness, more accurate and measurable performance monitoring. The technologies that can be used are Go Talent, Feedback and Recognition Systems, Analytics Technology, Application-Based Performance Evaluation Systems, Use of AI for Objective Evaluation and Chabots for Feedback.

Artificial Intelligence (AI)-based Decision Support Systems (DSS) have become a central component of digital transformation initiatives across various industries. While prior studies have primarily emphasized technical aspects such as accuracy, performance, and computational efficiency, less attention has been given to the integration of human-centered principles and scalable architectural design. This study aims to examine how AI-based DSS can be enhanced through the combined application of Human-Centered Artificial Intelligence (HCAI) principles and scalable AI architecture. Using a qualitative, literature-based research methodology, this study systematically analyzes peer-reviewed publications indexed in Scopus to identify key dimensions influencing the effectiveness and sustainability of AI-driven DSS. The findings indicate that technical capabilities alone are insufficient to ensure successful adoption and long term impact. Instead, transparency, explainability, ethical governance, and user empowerment core elements of HCAI are critical for fostering trust and user acceptance. Furthermore, scalable architectural principles, including modularity, interoperability, and adaptability, are essential for enabling AI-based DSS to operate reliably in large-scale and dynamic environments. This study contributes a unified conceptual framework that bridges technical scalability and human-centered design, offering theoretical insights and practical guidance for developing trustworthy, scalable, and sustainable AI-based Decision Support Systems in digital transformation contexts.

The integration of Artificial Intelligence (AI) chatbots into customer service operations within digital banks has become a transformative trend in the banking sector, particularly in Indonesia. This study examines the effectiveness of AI chatbots in improving both operational efficiency and customer satisfaction in three selected Indonesian digital banks. The research focuses on evaluating the impact of AI chatbots in reducing response times, handling high volumes of customer inquiries, and improving service availability. The study also delves into customer feedback, measuring satisfaction with the ease of use, personalization, and responsiveness of the AI systems. The results demonstrate that AI chatbots significantly enhance customer service efficiency by reducing wait times and automating routine inquiries, which reduces the need for human intervention. Additionally, customers reported high satisfaction with the round-the-clock availability of AI chatbots and the personalized financial advice provided. However, despite these benefits, challenges related to data security, chatbot accuracy, and customer adaptation to automated systems remain prevalent. Data privacy concerns and issues regarding the chatbot's ability to handle complex queries were noted as limiting factors in customer trust and satisfaction. The study highlights the implications of these findings for the future of digital banking in Indonesia, emphasizing the need for improved chatbot integration, stronger data security measures, and enhanced user experience design. The integration of AI in customer service operations holds significant potential for digital banks and the broader financial sector to improve operational efficiency, reduce costs, and meet the evolving expectations of customers.

Students have difficulty designing or writing manuscripts that will be published in accredited national journals. The purpose of this service is to provide solutions with training and mentoring activities for female students who will or are writing accredited scientific journal manuscripts by utilizing Chat GPT management both theoretically and practically. The action learning method, which consists of several stages starting with preparation, implementation, and evaluation, is the method used in this service, which is carried out face-to-face. The results of this service have a very significant impact on female students in making national journal manuscripts, starting from making titles to pamphlets with Chat GPT management. This can be seen from the test results before and after the training

Advances in artificial intelligence technology are increasingly being used to accelerate and improve the quality of various fields of work, including academic research. Referring to this, online training on the use of AI software for 287 lecturers from universities throughout Indonesia has been interactive. This 3-day training provides practical learning regarding the features and benefits of software such as Claude, GPT-3, and Elicit as well as Publish or Perish for literature review assistance; quantitative and qualitative data analysis; writing drafts of scientific articles; to editing published works. Post-training evaluation shows a significant increase in lecturers' digital literacy in utilizing artificial intelligence to accelerate the research cycle and publication of reputable journals. The enthusiasm of the participants shows the urgency of expanding similar programs so that lecturer competence is more competitive in the industrial era 4.0 to increase the productivity and quality of research and scientific work in higher education institutions in Indonesia.

Urban traffic congestion is a growing problem in Indonesian cities, affecting economic productivity and quality of life. This research explores the development of a smart traffic management system utilizing Internet of Things (IoT) sensors and artificial intelligence (AI) algorithms to analyze traffic patterns and optimize flow. The proposed system collects real-time data and uses predictive analytics to adjust traffic signals dynamically. Field tests in Jakarta demonstrate a 15% improvement in traffic flow and reduced travel times during peak hours. The findings suggest significant potential for scalable smart city solutions in urban traffic management across Indonesia.

This study explores an artificial intelligence (AI)-based predictive maintenance system for industrial machinery in Indonesian manufacturing. By utilizing machine learning algorithms, the system can analyze real-time machine data to predict equipment failures and recommend timely maintenance actions. The implementation of predictive maintenance has shown to reduce machine downtime by 20% and improve operational efficiency in manufacturing plants in Jakarta and Surabaya. This paper discusses the technical design of the predictive maintenance system, its economic impact on production costs, and implications for Indonesia's industrial sector.

This research aims to explore the ethical dimensions in the development of Artificial Intelligence (AI) with a focus on its social and moral implications. The research method involves a literature review to gain a profound understanding of the social and moral impact arising from AI development. Analysis is conducted on various literature sources, including articles, books, and AI-related ethical initiatives. The Future of Life Institute highlights the significant potential of artificial intelligence across various sectors but also underscores significant ethical challenges. This initiative requires careful understanding and handling to ensure that AI development aligns with moral and social values. Ethical issues related to unfair compensation for workers in the 'mechanical turk' industry and the impact of technology companies on human rights and democracy are identified. Furthermore, the research describes ethical issues in the use of personal data to train AI models, emphasizing individual rights regarding trained models and the protection of data subject identities. Additionally, the relationship between humans and robots raises ethical questions about their influence on human values and the potential for violent impacts. This exploration also discusses AI-related ethical initiatives emphasizing human rights, well-being, accountability, and transparency. The Ethically Aligned Design Guidelines from IEEE serve as a primary reference, emphasizing the need for AI development based on ethical principles and human rights. In conclusion, this research underscores the importance of awareness regarding the social and moral implications in AI development. Moral principles such as openness, accountability, justice, security, and freedom serve as guiding principles to ensure that AI provides positive benefits without sacrificing human values.

In an era of cultural acceleration and rapid advancements in science and technology, this research evaluates the application of the Problem-Based Learning (PBL) model in Informatics at SMA Negeri 8 Maros, focusing on enhancing student creativity. Employing a quantitative method within the Classroom Action Research framework, this study involves cycles of planning, action, observation, and reflection. Data collected through creativity tests, surveys, and class observations reveal that PBL significantly boosts student creativity. These findings are crucial, considering the critical role of education in preparing future generations for digital era challenges. This study highlights how education, especially in Informatics covering programming, artificial intelligence, and computer networking, can adapt to changing times. By integrating technology and innovative approaches into the learning process, students can enhance creativity and other essential skills needed in the digital age. This research offers valuable insights for educators and policymakers in preparing students for a bright, sustainable future.    

Cultural development in Indonesia, driven by science and technology, places education as the key to achieving national goals. Focusing on the practice stage in educational technology provides practical experience at SMA Negeri 8 Maros. Informatics learning involves programming, artificial intelligence, and computer networks. Research at SMA Negeri 8 Maros involved 35 class X.5 students with a focus on Information and Communication Technology (ICT). Strengthening the Teaching Profession (P2K) from 4 September to 30 October 2023, creating innovative learning tools for the integration of office applications. Students are required to master office applications and online communication skills. The Pancasila student profile emphasizes critical thinking skills, independence and creativity. The results of implementing Informatics learning using the PBL model show a positive impact on student motivation, increasing enthusiasm, and building critical thinking skills. Students who apply PBL produce higher grades. Informatics learning classification is important for understanding computational thinking and computer systems. The application of the PBL model has a positive impact making students more creative and independent in creating projects using Microsoft Office.    

This journal analyzes the exploration of dependence on technology in the novel "Dune" by Frank Herbert. The main focus of the journal is on the technological concepts introduced in the story, including the use of Melange as an energy source for the Holtzman Drive, the development of artificial intelligence, shields versus laser weapons, as well as water distillation technology used by the Fremen. This journal explains the impact of dependence on technology in the political, social and economic context of the universe created by Herbert. This research also discusses the contradiction in the acceptance of technology between human needs and the prohibition on the use of computers in the history of the Dune universe.