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The technological revolution accelerated by Artificial Intelligence (AI) has fundamentally changed the paradigm of leadership and human resource management. Digital leadership is now an essential competency for organizations that want to survive and thrive in the face of the challenges of the technological disruption era. This research aims to understand the role of digital leadership in the human capital transformation process, especially in the context of AI adoption by modern organizations.The post-qualitative approach allows research to capture the evolving and diverse dynamics in a digitized organizational environment. It is more open to different forms of data, both structured and unstructured, and recognizes the complexity and ambiguity in digital leadership practices. This research utilizes open-ended interviews and participatory observation, facilitated by interpretive narrative to understand the process of human capital transformation. The main results of the study show that digital leadership plays a key role in facilitating human capital transformation, with an emphasis on adaptive skills development, data-driven decision-making and closer collaboration between people and technology. This transformation is not only technical in nature but also involves changes in organizational culture and structure. This research makes an important contribution by offering a new perspective in leadership studies through a post-qualitative approach.

This study aims to examine the latest developments in the application of machine learning, software, applications, and websites in language teaching. With the advancement of technology, language learning is increasingly facilitated by the use of digital tools that utilize artificial intelligence (AI) and machine learning to improve the learning experience in an adaptive and interactive manner. The study reviewed a variety of platforms that use this technology, including key features that support personalization, automated feedback, and student performance assessments. In addition, this study discusses the effectiveness of the technology in supporting independent and formal learning in the classroom, including implementation challenges in various educational settings. It was found that although this technology provides a great opportunity in accelerating language learning, there are some limitations, such as limited access in regions with low digital infrastructure, as well as lack of integration with relevant cultural and social contexts in language learning. This study concludes that machine learning-based technology in language teaching has great potential, but further research is needed to optimize its application in various educational contexts.    

This article discusses the importance of innovation in management control systems in the digital era. During the pandemic, significant shifts occurred in business, education, and public services, pushing organizations to adopt new technologies such as artificial intelligence (AI) and cloud computing to enhance efficiency and competitiveness. The article also addresses challenges companies face in managing cybersecurity risks, data privacy, and the need for robust regulations to protect personal information. Additionally, digital technologies like e-learning play a crucial role in facilitating the learning and personal development process, especially during the pandemic. Collaboration between sectors and nations is key to addressing these global challenges.

Every company is required to plan the need for goods as effectively as possible in order to maximize profits. Bintang Makmur Building Shop is a building shop that provides building materials, especially cement. Cement is one of the basic materials for buildings. The need for cement has recently continued to increase due to the large number of developments, both housing projects and road construction. In addition to the increasing demand for cement, cement prices also experienced price volatility which tended to fluctuate. This is done so that there is no stockpiling or even a shortage of cement. With prices that tend to go up and down if there is too much stock, it will cause losses if there is a price decrease. Vice versa if there is a shortage of cement stock, it can cause disappointment to customers. To deal with the above, it is necessary to build a prediction system that can predict cement needs in prosperous shops. The system that will be built uses an Artificial Neural Network (Artificial Neural Network) which is part of the science of artificial intelligence which has been widely used to solve various kinds of problems related to prediction or forecasting by utilizing the Backpropagation Method. The system is designed with the MATLAB programming application. From the results of the research that has been carried out, it was found that the total demand for Andalas cement for January of the following year is 0.2532 or 2532, thus the predicted total demand for Andalas cement is 2532 sacks.

This study aims to examine the impact of the use of artificial intelligence (AI) technology in learning on the understanding of material by young students. In today's digital era, AI is increasingly being adopted in educational environments, with the potential to personalize learning, increase student engagement, and accelerate the process of understanding material. This research method uses a quantitative approach with a quasi-experimental design. A total of 120 students from various study programs at a university in Indonesia became research respondents, who were divided into two groups: a group that used an AI-based learning platform and a group that used conventional learning methods. Data collection was carried out through pre-tests and post-tests to measure the level of understanding of the material, as well as surveys to evaluate the learning experience. The results of the study showed that the group of students who used AI technology in learning had a more significant increase in understanding the material compared to the control group. In addition, students who used AI reported a more interactive and motivating learning experience. However, this study also found challenges, such as excessive dependence on technology and disparities in access to adequate technological devices. Based on these findings, the study recommends the integration of AI into the education curriculum in a balanced manner, considering technical and pedagogical factors to maximize the potential of AI-based learning.

This community service aims to innovate Artificial Intelligence (AI) financial planning using the ClickUp application to improve the quality of project management, especially budgeting, thereby increasing efficiency, productivity, and better decision-making so that these MSMEs can be highly competitive in the fintech era. Artificial intelligence is a system in a machine that imitates the way humans think and act (human intelligence). One of a computer science related to the development that can imitate human expertise in carrying out certain tasks is Artificial Intelligence (AI)  (Nurcholis, 2023). The program carried out is training and mentoring so that financial planning is more innovative, economical, practical, easily accessible, and has minimal errors. The problem faced by business actors is financial planning that has not been implemented properly so business targets and income targets are often not achieved. This has an impact on the sustainability of the Chibi-Chibi Mochi MSME business in the era of competition. The solution to the problem is that the community service team will provide training and mentoring on financial planning innovation using Artificial Intelligence (AI) ClickUp. The output targets to be achieved are in the form of journal publications and increasing the understanding and skills of business actors.

Emerging technologies are transforming warehouse operations, and this study investigated the effectiveness of implementing the Internet of Things (IoT), Radio-Frequency Identification (RFID), Artificial Intelligence (AI), and Robotics into warehouse operations. A descriptive correlational research design was employed, utilizing surveys to gather data from warehouse personnel and focusing on key performance indicators such as inventory accuracy, order fulfillment efficiency, cost reduction, and timely delivery satisfaction. The findings revealed a high level of familiarity with RFID and IoT among warehouse personnel, and a strong belief in the positive impact of these technologies on warehouse operations. However, challenges such as implementation costs, technical issues, and regulatory compliance were identified. Surprisingly, the analysis did not reveal a significant relationship between the implementation of these technologies and their overall effectiveness on warehouse operations. Future research should consider qualitative methodologies and larger sample sizes to explore other factors influencing warehouse performance.

The research aimed to analyze the impact of employing artificial intelligence and blockchain technologies in enhancing transparency and accuracy in financial audits.WeeThe research sought to understand how these technologies contribute to improving...ActivitiesAuditing by reducing human errors and enhancing confidence in financial statements.throughData was collected usingQuestionnaire from the research sample, and analysisResults through the statistical programSPSS v 26 and AMOS v 26,The most important conclusions of the research were that applicationsSmart provides the ability to quickly analyze large amounts of financial data, which improves the quality of auditing and decision-makingFinance. WowMRecommendations are a necessityStrengthening cooperation between regulatory authorities and banks to ensure the application of international auditing standards in light of the use of modern technology,The research contributes toAnalysis of the role of intelligent applicationsOhIn improving the accuracy and transparency of financial auditing using advanced technologies.whatHussein audits and detection of financial errorsWhich enhancesConfidence in financial reports by reducing errors and increasing accuracy using smart technology.

The application of information technology has been widely used in medicine. This application provides convenience and smoothness in the medical world to detect symptoms of various diseases, especially malaria. Malaria is still included in the endemic diseases suffered by the community in Binjai City, the more malaria patients, of course the more doctors are needed/work to diagnose patients. Artificial intelligence is one solution and helps doctors in supporting decision making for certain diseases. Building a system to diagnose malaria using the Case-Based Reasoning (CBR) method offers various significant advantages. CBR utilizes experience and knowledge from previous cases, allowing the system to provide a more accurate diagnosis based on patterns and symptoms that have occurred in the past.

The rapid integration of Artificial Intelligence (AI) in education presents both opportunities and ethical challenges, especially for faith based institutions such as Christian schools. These institutions must balance technological innovation with their theological commitments. As AI becomes more embedded in educational environments, Christian educators face the challenge of integrating AI in a way that aligns with Christian values, human dignity, and relational teaching roles. This study explores how Christian moral teachings can guide the integration of AI into education, providing a framework for ethical AI use in Christian schools. Previous studies have highlighted the ethical concerns associated with AI, including algorithmic bias, data privacy, and the potential for AI to undermine relational teaching roles. Christian educational theology, which emphasizes values such as human dignity, justice, and fairness, offers a robust framework for addressing these concerns. A biblical worldview and the concept of Imago Dei (the image of God) provide theological foundations for integrating AI ethically in education, ensuring that AI tools enhance human centered learning rather than replace human educators. Additionally, literature suggests that ethical guidelines informed by Christian teachings can mitigate AI's ethical risks and promote a more inclusive and equitable educational environment. This study employs a mixed methods approach, combining qualitative and quantitative research methods. The qualitative phase involves document analysis and interviews with Christian educators and theologians to explore theological reflections on AI and its ethical implications.

This study aims to explore the use of artificial intelligence (AI) in Islamic character education, focusing on the implementation of the model and its impact on the younger generation. The background of this study is based on the increasing need to present innovative solutions in education that not only meet academic aspects but also develop students' characters in accordance with Islamic values. The research method used is a qualitative approach with in-depth interview techniques and participatory observation in several Islamic educational institutions. The results of the study indicate that the application of AI in learning increases student engagement and personalizes the learning experience, thereby helping to develop better character. In addition, this study found that despite challenges in presenting content that is in accordance with Islamic principles and infrastructure limitations, the effective application of AI can create a learning environment that supports educational characters that are relevant to the challenges of the 21st century.

This study aims to analyze digital-based Indonesian language learning strategies in higher education through a systematic review of articles published between 2020 and 2024. Based on a literature search in Google Scholar, 100 relevant articles were found, of which 84 articles met the inclusion criteria. The analysis results show that the technologies used in Indonesian language learning include ICT, Artificial Intelligence (AI), digital learning media, social media platforms (YouTube, TikTok, Instagram), and interactive applications such as Kahoot and quizzes. Popular learning methods include flipped classroom, Problem-Based Learning (PBL), and Project-Based Learning (PJBL), which support the development of 21st-century skills such as critical thinking, creativity, communication, and collaboration. Furthermore, the COVID-19 pandemic accelerated the adoption of digital learning, which significantly influenced Generation Z students' learning methods. However, limited access to the internet in remote areas remains the main challenge in implementing digital learning. Therefore, improving technology infrastructure and providing training for lecturers to optimize the use of technology in learning, as well as policies that support equitable access to digital education across Indonesia, are essential. This study provides insights for the development of digital-based learning strategies in higher education.

Vocational education plays an important role in bridging the gap between educational outcomes and labor market needs, especially in the Industry 4.0 era. With the rapid development of technology, especially artificial intelligence and automation, vocational education must adapt its curriculum to prepare graduates with relevant skills. The Internet of Things (IoT) is one of the key technologies that increases efficiency and opens up new opportunities, especially for the younger generation in entrepreneurship. The Community Service Program (PKM) uses an educational-persuasive approach to increase youth's knowledge and skills in utilizing IoT for start-up-based independent entrepreneurship. The training held, including IoT application simulations, showed an increase in participants' knowledge and abilities. Evaluation results based on questionnaires show that the majority of participants felt a significant increase in their understanding of IoT material and applications. In conclusion, this program succeeded in developing technology-based entrepreneurial competencies for teenagers, while providing practical insight into the application of IoT in business.

As technology advances, the presence of Artificial Intelligence / AI is no longer inevitable. One of the functions of AI that supports human work is the educational AI. ChatGPT is a conversational AI that forms sentences based on the information given to it. This AI can be used by all groups, especially students when they need instant, systematic and customized information. Office administration students of SMKS YPKP Jayapura are the target group of this community service program. We hoped that students could gain knowledge about ChatGPT, especially we wanted to improve students' skills in using technology.

According to academic data, student math ability tests at MTSS PAB 5 Klambir Lima yield mixed results. There are students who understand math well, but there are also those who have difficulty understanding the mathematical concepts themselves. Math teachers at this school have difficulty designing lessons that can meet the needs of students with different levels of understanding. So, it is necessary to group student data to produce educational decision-making and improve learning effectiveness, such as through data mining. Data mining is a semi-automated process that uses machine learning techniques, mathematics, statistics, and artificial intelligence to identify and organize information contained in large databases. The process of finding information can be done by determining the decision rule based based on the level of student understanding in mathematics lessons using the Decision Tree Algorithm C4.5 method. The use of the Decision Tree algorithm C4.5 aims to make it easier to determine decision rules based on gender, Predicate, teacher teaching methods, student learning interest, and level of understanding. Based on the results of the study, it was found that if the teacher's teaching method is good, the predicate value is B, the student's learning interest is less interested, and the gender is male, then the student's level of understanding in mathematics lessons is not understood.

Dementia is a growing global health challenge due to the aging population and lifestyle changes. Early and accurate diagnosis is crucial but often difficult and costly. The Case-Based Reasoning (CBR) method in artificial intelligence offers a solution by mimicking human problem-solving based on past experiences. This study aims to develop and implement an efficient and reliable CBR-based dementia diagnosis system. The system is expected to analyze and compare patient symptoms and medical histories with documented cases to provide faster and more accurate diagnostic recommendations. The implementation of CBR in a web-based expert system using PHP and MySQL has proven effective, significantly contributing to the improvement of patient quality of life and healthcare system effectiveness.

This qualitative study investigates the perceptions of Vietnamese tertiary English as a Foreign Language (EFL) teachers regarding the impact of artificial intelligence (AI) on student creativity in language learning. Amidst the rapid integration of AI in educational contexts, this research focuses on a relatively unexplored area: the intersection of AI technology and creative language pedagogy in the Vietnamese educational setting. Nine EFL teachers from two institutions in Vietnam, representing novice, mid-career, and near-end career stages, participated in semi-structured interviews. The study employed the Technology Acceptance Model (TAM) and the Creativity in Language Learning Framework (CLLF) as its theoretical basis. Thematic analysis of the interview data revealed four key themes: the perceived impact of AI on creative language practice, challenges in integrating AI with creative pedagogy, varied perceptions of AI’s role in developing student autonomy, and the impact of AI on traditional teaching methods and teacher roles. The findings indicated a spectrum of perspectives, from viewing AI as a beneficial tool for creative engagement to concerns over its potential to limit creative thinking and traditional pedagogical approaches. The study highlights the complexity of integrating AI into language learning and its influence on both teaching practices and student creativity.

This study explores the influence of Islamic environmental ethics on Corporate Social Responsibility (CSR) and business decision-making, emphasizing how faith-based ethical frameworks guide sustainable practices in contemporary corporate environments. Grounded in the principles of stewardship (khalifah), justice (adl), and collective welfare (maslahah), Islamic ethics provide a holistic model for aligning profitability with moral and environmental responsibility. Using a mixed-method approach that combines survey research and content analysis, data were collected from 50 Shariah-compliant and ethically oriented companies across multiple industries. The survey measured the integration of ethical values into CSR initiatives, while content analysis of corporate reports evaluated transparency, environmental commitment, and ethical disclosures. The findings reveal that organizations adhering to Islamic ethical principles exhibit stronger environmental accountability, higher ethical compliance, and more sustainable long-term strategies compared to secular firms. These companies perceive environmental responsibility as a moral obligation rather than a regulatory requirement, integrating ethical governance into daily operations and strategic planning. The results also highlight that employee engagement and stakeholder trust improve significantly when CSR activities are guided by Islamic values. Furthermore, case studies of Islamic banks and small-to-medium enterprises (SMEs) in Muslim-majority regions demonstrate practical applications of these principles, including the use of zakat and waqf funds for environmental initiatives and community development programs. The study concludes that embedding Islamic ethics into business operations fosters a balance between economic growth, social welfare, and environmental stewardship. It also provides a pathway for strengthening corporate integrity and long-term competitiveness. Future research is recommended to examine the applicability of Islamic ethical principles across different industries and explore their intersection with emerging areas such as green innovation, artificial intelligence governance, and digital finance. Overall, this research underscores the potential of Islamic ethics as a foundation for sustainable business models that harmonize spiritual and economic objectives.

The global community is increasingly focusing on conservation. To combat pollution andresource wastage, modern technologies, like automation and AI are widely employed in environmentalprotection tools. This study delves into the utilization and advancement of automation and AI inenvironmental protection tools examining their real world applications across sectors like wastewatertreatment, air pollution control, solid waste management, metallurgy and energy supervision. Furthermoreit investigates the fusion of automation and artificial intelligence in the development of environmentalprotection tools. The study also addresses aspects such as data collection, performance monitoring,sustainable growth, prevailing challenges and future trends. Through an analysis it underscores thepotential of automation and artificial intelligence in enhancing environmental protection tools effectivenesstowards achieving sustainable conservation goals. Lastly recommendations for research are proposed todrive innovation and enhancement of environmental protection technology. This study aims to offerinsights and guidance for both research endeavors and practical applications, within the realm ofenvironmental protection technology.

With the rapid expansion of the Industrial Internet of Things (IIoT), integrating devices, machines, and systems to optimize operations and enable data-driven decision-making, ensuring robust security measures is essential. While blockchain has shown the potential to upgrade traditional authentication methods in IIoT environments, vulnerabilities persist. This paper introduces two innovative methods to enhance blockchain-based authentication in IIoT: first, integrating AI-driven anomaly and threat detection into the blockchain authentication scheme; second, implementing Ethereum smart contracts for enhanced authentication with a two-factor authentication (2FA) system and GFE algorithms. By combining AI for anomaly detection with decentralized smart contracts and blockchain-based 2FA, and leveraging GFE algorithms to enhance blockchain capabilities, the proposed scheme aims to significantly fortify security measures. This integration offers a resilient defense against evolving threats, ensuring transparency, adaptability, and heightened security in IIoT applications.