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This research aims to explore strategies for cultivating exceptional talent in the era of artificial intelligence (AI). The study employs a mixed-method approach, integrating interviews, surveys, and case studies to gather comprehensive data. The sample selection includes individuals from various industries known for fostering talent development, such as technology, education, and business. Through thematic analysis, the collected data are systematically examined to identify recurring patterns, emerging themes, and innovative practices in talent cultivation. Results reveal multifaceted strategies encompassing personalized learning, mentorship programs, continuous feedback mechanisms, and proactive skill development initiatives. Furthermore, the study highlights the significance of human-centric approaches in leveraging AI technologies to enhance talent development efforts. The findings contribute to a deeper understanding of how organizations can harness human potential effectively amidst technological advancements, paving the way for sustainable talent management practices in the AI era.    

In the rapidly evolving landscape of artificial intelligence (AI), optimizing human resources (HR) practices is imperative to foster organizational excellence. This qualitative research aims to explore the intersection of AI and HR practices to enhance organizational performance. The research adopts a qualitative approach utilizing in-depth interviews with HR professionals, AI specialists, and organizational leaders. Sampling techniques include purposive and snowball sampling to ensure diverse perspectives are captured. Data analysis involves thematic analysis, allowing for the identification of patterns and themes within the qualitative data. Preliminary findings indicate that organizations are increasingly leveraging AI to streamline HR processes, enhance talent acquisition, and improve employee engagement. Furthermore, the research reveals the significance of ethical considerations and human oversight in AI-driven HR practices. This study contributes to the growing discourse on AI integration in HR and provides insights for organizations aiming to navigate the AI-driven landscape while fostering excellence in HR practices.  

This research aims to explore strategies for maximizing human capital in the context of advancing artificial intelligence (AI) technologies within the workforce. The study employs a phenomenological approach to understand individuals' experiences and perceptions regarding AI integration in the workplace. Through purposive sampling, data were gathered from a diverse pool of professionals across industries. Semi-structured interviews were conducted to delve into participants' perspectives on the impact of AI on job roles, skill requirements, and organizational dynamics. Thematic analysis was employed to identify recurring patterns and emergent themes within the qualitative data. Preliminary findings suggest a nuanced interplay between AI technologies and human capabilities, highlighting the need for upskilling, retraining, and fostering adaptability among employees. The study contributes to the discourse on optimizing human resources amidst rapid technological advancements, offering insights for organizational strategies to harness the synergy between human expertise and AI innovations in the future workforce.      

In the dynamic landscape of Human Resource Management (HRM), the emergence of Artificial Intelligence (AI) technologies presents both challenges and opportunities. This research aims to explore strategies for empowering talent amidst AI innovations in HRM. The research adopts a phenomenological approach to delve into the lived experiences of HR professionals and employees within organizations integrating AI technologies. Through purposive sampling, data were collected via in-depth interviews and focus group discussions. Thematic analysis was employed to identify patterns, themes, and insights from the narratives. The findings reveal a nuanced understanding of how AI impacts talent management practices, including recruitment, training, performance evaluation, and career development. Moreover, the research elucidates the importance of human-centric approaches in leveraging AI to augment rather than replace human capabilities. These insights contribute to enhancing organizational strategies for talent empowerment in the era of AI-driven HRM innovations.

This study investigates the utilization of Artificial Intelligence (AI) to promote ethical business practices within the evolving landscape of digital marketing in Indonesia. The research aims to elucidate the current state of AI integration, its impact on ethical considerations, and the challenges and opportunities it presents. The study adopts a qualitative approach, employing semi-structured interviews and focus group discussions with key stakeholders involved in digital marketing and AI development. Sampling techniques include purposive sampling to ensure representation across industries and snowball sampling to access knowledgeable participants. Data analysis follows thematic analysis principles, identifying recurring patterns, themes, and divergences related to ethical concerns and AI implementation. Preliminary findings indicate a nuanced relationship between AI adoption and ethical dilemmas, with emerging strategies to balance innovation with ethical principles. This study contributes to understanding the ethical implications of AI in digital marketing and offers insights for businesses, policymakers, and scholars aiming to navigate this complex terrain responsibly.

Sales and purchase agreements that occur electronically between sellers and buyers create online buying and selling. Internet and social media users in Indonesia, online E-Commerce businesses are increasingly growing. E-Commerce is business activities involving consumers, manufacturers, service providers and intermediaries using computer networks, namely the internet. E-Commerce users are also of various ages, because there are many conveniences when shopping online, just open the desired E-Commerce application, choose the items you buy and the goods arrive as desired within a few days. The increasing number of online buying and selling has indirectly influenced changes in legal regulations. The rules that apply in Indonesia are still unclear regarding electronic buying and selling. This is due to the fact that the conditions necessary for the validity of an electronic agreement have not been specifically regulated. The aim of this research is to determine the validity of electronic contract agreements in E-Commerce transactions in terms of civil law. In this research, normative research methods were used. This method involves processing data from legal regulations and applying rules or norms as the basis for research. Research results Electronic documents are binding and recognized as valid evidence to provide legal certainty regarding the operation of electronic systems and electronic transactions, especially for proof and related to legal actions carried out through electronic systems

Tujuan yang diharapkan dari hasil penelitian ini adalah untuk mengetahui peningkatan hasil belajar siswa setelah diterapkannya model pembelajaran menggunakan kelompok belajar di MTsN 7 Agam. Hipotesis tindakan dalam penelitian ini yaitu ada peningkatan hasil belajar siswa setelah diterapkannya model pembelajaran menggunakan kelompok belajar di MTsN 7 Agam. Variabel dalam penelitian ini adalah peningkatan hasil belajar siswa setelah diberikannya tindakan melalui model pembelajaran menggunakan kelompok belajar. Subjek dalam penelitian ini adalah siswa kelas VII.3 yang terdiri dari 12 orang laki-laki 19 orang perempuan. Metode yang digunakan dalam penelitian ini adalah metode Penelitian Tindakan Kelas (PTK). Teknik pengumpulan data yang digunakan pada penelitian ini adalah tes. Berdasarkan hasil penelitian dan pembahasan dapat disimpulkan bahwa ada peningkatan hasil belajar siswa setelah diterapkannya model pembelajaran menggunakan kelompok belajar di MTsN 7 Agam, hal ini terbukti dari tingkat ketuntasan belajar siswa maka siklus 1 (71%) < Siklus 2 (84%), maka peningkatan ini terlihat bahwa peningkatan dari siklus pertama sebesar 13%.

Pemanfaatan media pemberlajaran memiliki pengaruh yang besar terhadap kemauan para siswa dan siswi dalam belajar. Powtoon merupakan aplikasi web yang bisa dibuka siapa saja, aplikasi ini bisa digunakan untuk membuat media pembelajaran dikarenakan didalamnya banyak fitur-fitur yang yang membantu dalam membuat media pembelajaran seperti fitur animasi dan lainnya yang bisa di gunakan dengan mudah. Pemasalahan yang muncul adalah apakah media pembelajaran berbasis web ini dapat meningkatkan motivasi belajar siswa pada mata pelajaran Informatika kelas VII pada SMP Negeri 2 Bukittinggi. Metode penelitian yang digunakan pada penelitian ini adalah metode penelitian kuantitatif dengan pendekatan deskriptif. Dan berdasarkan penetitian dengan cara menyebar angket penelitian yang dilakukan menunjukkan bahwa pemanfaatan media pembelajaran dengan menggunakan powtoon dapat meningkatkan motivasi belajar siswa.  

. Kurangnya minat baca siswa terhadap buku paket sehingga membuat siswa malas mengerjakan pekerjaan rumah. Penelitian ini bertujuan untuk Menggambarkan pengaruh penggunaan handphone terhadap hasil pekerjaan rumah siswa kelas VIII.1 MTsN 2 Pasaman Barat. Penelitian ini termasuk penelitian kuantitatif eksperiment, populasi dalam penelitian ini adalah siswa kelas VIII.1 MTsN 2 pasaman barat yang berjulah 31 orang siswa. Pengambilan sampel menggunkan teknik simple random sampling. Penelitian ini dilakukan di MTsN 2 pasaman Barat. Data hasil belajar siswa diperoleh melalui dokumentasi yaitu nilai pekerjaan rumah sswa. Teknik analisis data pada penelitian ini menggunakan teknik analisis data pada penelitian ini menngunakan teknik uji-t. penelitian ini dilaksanakan mulai tanggal 12 september sampai 17 Desember 2022. Hasil penelitian menunjukkan bahwa: terdapat pengaruh penggunaan handphone terhadap hasil pekerjaan rumah siswa kelas VIII.1 MTsN 2 pasaman Barat setelah di terapkannya penggunaan handphone sebagai sumber belajar untuk mengerjakan pekerjaan rumah nilai siswa dikatakan baik secara signifikan dan bisa dilihat dari hasil nilai pekerjaan rumah dengan menggunakan uji-t Hasil penelitian ini dapat menjadi masukan bagi para guru dan, terlebih khusus, para orang tua dalam mendorong anak-anaknya untuk tekun belajar dan mengontrol anak-anaknya dalam menggunakan HP

Legal protection of children refers to all actions that ensure and safeguard children and their rights so that they can live, grow, develop, and engage maximally in line with human dignity and honour, as well as get protection from violence and discrimination within legal laws. In Indonesia, the proportion ranges from 22 to 100%, indicating that the aforementioned conditions occur often. As a result, researchers are interested in performing this study utilising normative research methodologies. Legal protection for minors who distribute pornographic videos on social media, choosing to release minors, is regulated by Law No. 23 of 2002 concerning Child Protection, Article 16 (1) Every child has the right to receive protection from being the target of abuse, torture, or inhumane punishment, (2) Every child has the right to obtain freedom in accordance with the law, and (3) Arrest, detention, or incarceration of a child must be carried out in accordance with relevant legislation and only as a last option. And advocate LPKA in the form of independence coaching, which includes instruction for foster children in skills that may be developed after the foster time ends, such as sewing. Meanwhile, personality development is moral development, with the goal of providing foster children with an understanding of social norms as well as an understanding of themselves so that they can accept responsibility for all actions they take and refrain from repeating illegal actions. Suggestions in this protection are expected to be safeguarded by anybody, regardless of circumstance, and the local government needs to get to the field to inspect the status of special child development institutions so that any deficiencies may be corrected quickly, allowing development to proceed correctly.

This research to analyze the contribution of variables from three economic policies, with monetary policy through interest rate variables, exchange rates, and money supply in facing economic recession. Where the fiscal policy variable is through tax value. Then macroprudential policy through Non Performing Loan and Capital Adequacy Ratio variables. This study uses secondary data or time series, namely from December 2019 to February 2021. The data analysis model in this study is the Vector Autoregression (VAR) model which is seen from being sharpened with Impulse Response Function (IRF) analysis and Forecast Error Variance Decomposition (FEVD), Panel ARDL, and Different Tests. The results of the IRF analysis show that the stability of the response of all variables is formed in period 8 or the medium and long term, where the response of other variables to changes in one variable shows different variations, both from positive responses to negative responses or vice versa, and there are variables whose responses remain positive or remain negative from the short term to the long term. The results of the FEVD analysis show that for the short-term inflation variable it is influenced by inflation itself and in the medium and long term it is influenced by interest rates. For the JUB variable in the short term it is influenced by JUB itself and in the medium and long term it is influenced by NPL. For the interest rate variable in the short term it is influenced by JUB while in the medium and long term it is influenced by the exchange rate itself and CAR. For the tax variable in the short, medium and long term it is influenced by the tax itself and JUB. For the NPL variable in the short, medium and long term it is influenced by JUB and tax. For the CAR variable in the short, medium and long term it is influenced by JUB and tax. Then the results of the ARDL Panel analysis show that the country that is able to become a leading indicator in controlling the economic recession in the Four of The Group Twenty, namely Turkey, is only done by interest rates. While South Africa is done by interest rates, taxes, NPL, and CAR. For Russia, it is done by all variables, namely the amount of money in circulation, interest rates, exchange rates, taxes, NPL, and CAR. Meanwhile, Indonesia is carried out by exchange rates, taxes, NPL and CAR.

The integration of Artificial Intelligence (AI) in education presents both challenges and opportunities for 21st-century learning. This study explores the transformative potential of AI in enhancing personalized learning, adaptive assessments, and intelligent tutoring systems. The research aims to identify the key barriers to AI adoption in educational settings, including ethical concerns, data privacy, and technological infrastructure. Utilizing a qualitative approach, data were collected through literature reviews and expert interviews. The findings indicate that while AI can significantly improve learning outcomes and administrative efficiency, its implementation requires strategic planning, teacher training, and regulatory frameworks. This study highlights the importance of balancing AI-driven innovation with ethical considerations to maximize its benefits in education.

The increasing use of social media among students has raised concerns regarding its impact on academic performance and digital well-being. This study aims to examine the relationship between social media usage, student learning outcomes, and overall well-being in a digital environment. Using a mixed-methods approach, data were collected through surveys and in-depth interviews with high school and university students. The findings indicate that while social media can serve as a valuable tool for academic collaboration and resource-sharing, excessive and unregulated usage often leads to distractions, reduced academic performance, and negative effects on mental health. The study highlights the need for balanced social media engagement and the implementation of digital literacy programs to promote responsible usage. These insights contribute to the ongoing discussion on digital well-being and offer practical recommendations for students, educators, and policymakers.  

This revitalization is carried out by reorganizing the function of space, and cultural values, and strengthening information about cultural heritage, as stated in Law Number 11 of 2010 concerning cultural heritage in article 80 paragraphs (1) and (2). Following the principle of development in general, revitalization must provide benefits to improve the quality of life of the community. This revitalization feasibility study uses primary data and secondary data. The results of the feasibility study on the revitalization of Merdeka Field Medan are the condition of the existing facilities and infrastructure of Merdeka Field, many of which are damaged or no longer functioning. There are even landfills in several corners of the Merdeka Square area. The drainage channels of the area are also not well integrated into the city's drainage system. And based on the problem of existing infrastructure, the Merdeka Square revitalization plan is very feasible to do.    

Emerging technologies play a crucial role in transforming education by fostering inclusivity and equity. This study explores how artificial intelligence, virtual reality, and adaptive learning platforms contribute to overcoming traditional barriers to education. The research adopts a qualitative approach, analyzing case studies and recent advancements in educational technology. Findings reveal that these technologies enhance accessibility for students with disabilities, provide personalized learning experiences, and bridge educational gaps in underprivileged regions. The study highlights the importance of policy support and infrastructure development to maximize the benefits of technological integration in education. The implications suggest that adopting emerging technologies can create a more inclusive and equitable learning environment, ensuring education for all.

PT Ungaran Sari Garment is one of the Largest Export Oriented Apparel Company in Indonesia, operating world-class factories in various locations in Java supported by 11,000 skilled and professional workers. Ungaran Sari Garments' production capacity can handle 1.7 million dozen garments per year and still with great potential for expansion. In 2022 to 2024 experienced an increase and decrease in Actual Performance Production. Production Performance data at PT Ungaran Sari Garment for the last 3 years has experienced, indicates that there is a decrease in employee performance at PT Ungaran Sari Garment.

Smart wearable technologies are becoming essential tools for real-time health monitoring, offering a new dimension of personalized medicine. Wearable devices equipped with biosensors, artificial intelligence, and Internet of Things (IoT) connectivity can continuously track vital signs such as heart rate, blood pressure, oxygen levels, and even detect early symptoms of diseases. This paper explores the latest advancements in wearable health technology, including flexible electronics, energy-efficient data processing, and integration with telemedicine platforms. Additionally, ethical concerns such as data privacy, cybersecurity risks, and user adoption challenges are discussed. The study provides insights into how smart wearables can be effectively utilized for preventive healthcare, chronic disease management, and real-time health diagnostics.

The advancement of Autonomous Underwater Vehicles (AUVs) is transforming the way scientists conduct deep-sea exploration and environmental monitoring. AUVs equipped with sophisticated sonar, AI-driven navigation systems, and real-time data transmission capabilities can explore extreme marine environments where human intervention is impossible. This paper reviews state-of-the-art developments in AUV technology, including enhanced battery efficiency, swarm intelligence for coordinated underwater missions, and AI-based anomaly detection for marine biodiversity assessment. Additionally, the study highlights the role of AUVs in disaster response, such as oil spill detection and ocean pollution analysis. By addressing technical challenges such as communication latency, data processing in harsh environments, and energy efficiency, this research aims to contribute to the next generation of AUV applications.

.Every company certainly has operating equipment that usually runs continuously and relies on electricity as an energy source whose distribution must be appropriate to be efficient in its use. Every company that has important activities that use electronic devices, of course, must have a power backup so that sudden power cuts do not occur, because if this happens frequently it will cause damage to electronic devices, one of which is using a UPS (Uninterruptible Power Supply). Uninterruptible Power Supply (UPS) is an electronic device capable of providing temporary backup power when the main power supply is cut off. This UPS is also an electronic device that can protect all types of electronic equipment that is vulnerable to current or voltage instability. The purpose of this study is to understand and know the working principle and how to maintain the use of UPS. The method used is the method of observation in the company to obtain research data. At PT. ASDP Indonesia Ferry uses two types of UPS which have different capacities, namely 0.8KVA and 3KVA to supply power to each electronic device that is used regularly. Of the two types of UPS, it can be used to back up electrical power when the main power source is suddenly cut off.

This study aims to investigate the impact of Earnings Per Share (EPS), Market to Book Value of Assets (MBVA), Market to Book Value of Equity (MBVE), Capital Expenditure to Book Value Asset Ratio (CEP/BVA), and Capital Expenditure to Market Value of Assets Ratio (CEP/MVA) on the financial performance and stock prices of Property and Real Estate Companies listed on the IDX (Indonesia Stock Exchange). The data utilized for this study are annual reports obtained from each company, accessible on the website www.idx.go.id. The research employs the associative method with statistical analysis and panel data testing. The sampling method employed is purposive sampling, encompassing a total sample of 10 Property Companies listed on the IDX, and the data spans from 2016 to 2022. The study's findings reveal that Earnings Per Share (EPS), Market to Book Value of Assets (MBVA), Market to Book Value of Equity (MBVE), Capital Expenditure to Book Value Asset Ratio (CEP/BVA), and Capital Expenditure to Market Value of Assets Ratio (CEP/MVA) exert a positive and significant influence on the financial performance and stock prices of Property and Real Estate Companies listed on the IDX.