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This research aims to examine the application, obstacles and benefits of Artificial Intelligence ChatGPT on the effectiveness of social media marketing using the Attention, Interest, Desire, Action (AIDA) model approach, especially on the Cuci Shoes Kelen Instagram account. The background to this research is the Industrial Revolution 4.0 which has created an era of digital technology with a high number of internet users in Indonesia, even though digital understanding and literacy is still low. This research uses descriptive qualitative methods by collecting data through virtual ethnography and interviews. The research subjects consisted of two owners of "Cuci Shoes Kelen," namely DB and FP, while the research object was the use of Artificial Intelligence ChatGPT in this account. The results of the first research showed that the application of Artificial Intelligence ChatGPT with the AIDA model approach on the Instagram account "Cuci Shoes Kelen" resulted in improvements in all aspects measured. Therefore, the marketing and promotional content produced by ChatGPT can increase the effectiveness of social media marketing. The results of the second research show that there are obstacles in implementing ChatGPT Artificial Intelligence, especially in new users' understanding of the types of questions that should be asked to ChatGPT, and also the limited information in ChatGPT version 3.5. However, benefits include ChatGPT's ability to provide promotional strategy recommendations that comply with AIDA concepts and detailed guidance for their implementation.    

Purpose-The main orientation of this article is to recognize the pattern of digitalization's impact on the current development of Artificial Intelligence (AI) and human resource management and how it affects the skills needed by HR professionals for decision-making through talent management and employee retention to ensure employee capabilities by aligning work at the right time based on the company's business priority goals. Methodology-This study uses a qualitative methodology that uses descriptive research. This research focuses on decisions made by leaders to improve the quality of human resources and seeks to identify areas of knowledge that have not been explored in research. Findings-Research results show that the company's strategy of using Artificial Intelligence (AI) provides many benefits, such as improving operational efficiency, developing innovative products or services, and making better business decisions based on better forecasting and analysis. Practical Implications-Through the implications of HR data analysis as decision-making in forecasting human resource trends using AI, talent management, and employee retention. This is applied to the recruitment and selection process that provides benefits such as rewards to employees who can achieve targets. Therefore, a supportive work culture by honing the talents and potential of employees to create maximum and efficient performance can have a good impact on the company.

Lajunya perkembangan zaman tidak dapat disangkal telah mendorong manusia untuk terus berinovasi dalam mengembangkan beragam teknologi, termasuk kecerdasan buatan atau Artificial Intelegence (AI). Sejauh perkembangannya  AI telah membawa dampak positif yang cukup signifikan dalam memudahkan berbagai aspek kehidupan manusia, mulai dari otomatisasi proses bisnis hingga munculnya alat pengenal wajah (face recognition) yang canggih. Namun, dampak positif ini juga disertai dengan adanya potensi dampak negatif yang harus diperhatikan. Persoalan ini memiliki hubungan yang erat dengan Hukum dan Hak Asasi Manusia (HAM). Sebagaimana eksistensi manusia, terutama dalam hal privasi dan keamanan data, menjadi semakin gampang diakses dan sangat berpotensi untuk disalahgunakan. Munculnya tantangan baru dalam dimensi hukum dan HAM menjadi suatu kebutuhan mendesak dalam menghadapi era teknologi AI yang terus berkembang secara pesat. Penelitian ini bertujuan untuk menganalisis bagaimana teknologi AI mampu memengaruhi berbagai aspek HAM, termasuk privasi, kebebasan individu, dan perlakuan non-diskriminasi. Oleh karena itu, sangat penting untuk memastikan bahwa penggunaan teknologi AI seperti face recognition ini dipandu oleh regulasi hukum yang jelas. Prosedur yang adil, dan kebijakan pemerintah yang sesuai dengan prinsip-prinsip HAM merupakan kunci untuk menjaga keseimbangan antara inovasi teknologi dan perlindungan terhadak hak-hak setiap individu.

This study aims to analyze the communication of marine mammals, especially whales and dolphins, through a bioacoustic approach combined with computational science as an effort to support conservation in the Tropical Ocean region. The focus of the location is on the Banda Sea, the Seram Sea, and the tropical Pacific region which are important migration routes for marine mammals. Data were obtained from underwater sound recordings using hydrophones, accompanied by visual observations to validate the behavior and existence of species. The analysis is carried out through several stages, including signal pre-processing with noise filtering and sound segmentation, spectral analysis using Fast Fourier Transform (FFT), as well as the creation of a spectrogram to visualize vocalization patterns. Machine learning algorithms such as Support Vector Machine (SVM) are used to classify interspecies voices, while deep learning approaches are applied to identify more complex communication patterns, including dialect variations. The results showed that whales produced low-frequency vocalizations (20–200 Hz) for long-distance communication, while dolphins used high-frequency clicks and whistles (5–20 kHz) for echolocation and social interaction. The integration of bioacoustics and artificial intelligence improves the accuracy of sound classification by more than 90%. These findings confirm the effectiveness of computational-based non-invasive methods in monitoring the presence and behavior of marine mammals and provide a scientific basis for sustainable conservation.

In the era of globalization, cultural exchange is easier to do. One of the cultures that are popular with young people in Indonesia is Japanese animation. Animation is an image that is made to look real with artificial intelligence technology. At this time many people are interested in animated content that is displayed in real-time via social media, but there are still many who have not been able to present it optimally regarding the expressions and movements of the characters. So the researchers used the face tracking method in the Live2D application to produce animated characters that can interact directly with the exact expressions of the actors behind the camera. Tests using Vtube Studio Unity proved that the animations created succeeded in displaying the actors' expressions and movements in real-time. The final result of the animation created is distributed via social media YouTube and TikTok. Keywords: Animation, Live2D, Character, Face Tracking

This research discusses the development of industry 5.0 and its impact on the Indonesian economy. Industry 5.0 is a concept that integrates artificial intelligence, robotics, automation, Internet of Things (IoT), and other technologies to create more efficient and connected production systems. This study aims to analyze how the implementation of Industry 5.0 has affected Indonesia's economic sector and the challenges faced in adopting this technology. A comprehensive literature review was conducted to understand the global developments of Industry 5.0 and then applied in the Indonesian context. This research also highlights aspects such as digital infrastructure, workforce skills, and government policies that support or hinder the development of Industry 5.0 in Indonesia. It is hoped that this research can provide valuable insights for policy makers and stakeholders in understanding the contribution of Industry 5.0 to the Indonesian economy and formulating appropriate strategies to encourage sustainable economic growth.

With the increasing use of information technology in various fields, including e-commerce, ensuring user data and privacy protection is crucial for companies like Tokopedia, one of the largest e-commerce companies in Indonesia. This research aims to identify Tokopedia's security management system and its challenges in protecting user data and privacy. The study utilizes a literature review methodology, analyzing various documents, books, and journals related to Tokopedia's security management system. The research objectives are to understand the system's effectiveness, challenges, and Tokopedia's efforts to improve data and privacy protection. Tokopedia has prioritized information security since its establishment, implementing tight security measures, and continuously improving them. Tokopedia Shield, a security feature introduced in 2015, has significantly reduced fraud risk in the platform. Additionally, the company has taken several steps to secure user data, such as data encryption, access restriction, and password quality enhancement. Tokopedia continuously develops its security system, incorporating the latest technologies such as Artificial Intelligence (AI) and Big Data Analytics to detect potential threats early and improve the security system's responsiveness.  

This article discusses the benefits, risks, and wise use of Artificial Intelligence (AI) technology, with a focus on ChatGPT, a large language model. AI technology has become an integral part of modern human life, with various applications in industries such as business, health, government, and others. AI technology can help improve decision-making based on data, reduce human error, and increase efficiency. However, it also poses risks, such as data security and job replacement. To ensure the wise use of AI, it is crucial to observe AI ethics, protect user data and privacy, avoid discrimination, and ensure system security. The research problem is formulated to answer questions such as the benefits and risks of using ChatGPT, its optimal use, and its role in education. The purpose of the research is to describe the benefits, risks, and wise use of ChatGPT in the era of AI and to ensure its responsible use.

The discovery of various efficient technologies has become a benchmark in development in all sectors. Artificial Intelligence (AI) and the Internet of Things (IoT) are growing rapidly. This study aims to determine the analysis of the technological adaptability of countries in the world and its comparison to readiness in Indonesia. This is because the ability to adapt technology has a close relationship to the economy in a country, both in terms of economic contribution and the labor market sector. This research uses data with parameters such as Gross Market Value (GMV), Global Connectivity Index (GCI), and GDP. As well as data on industry development in Indonesia. This research was conducted with a descriptive analysis method that uses content analysis steps to interpret the results of existing statistical exposure. The results of the research analysis show that a very significant government policy today is an investment in technology and communication infrastructure. Then to boost the economy, financing is the most needed factor today. Readiness to meet the demographic bonus can be done by developing the digital skills of the workforce in all sectors. Therefore, infrastructure, financing, and scientific integration of technology are the most crucial policies today.

Property price determination is a complex challenge influenced by various factors, thus requiring an effective method for accurate prediction to support investment decision-making. In the current digital era, conventional approaches are being replaced by data-driven and artificial intelligence methods, where Linear Regression remains a popular choice due to its simplicity and effectiveness in modeling linear relationships. This study aims to analyze the relationship between the physical characteristics of a house and its selling price, and to build an accurate predictive model using the Linear Regression algorithm. A quantitative method was used, focusing on Building Area , Number of Rooms, and Building Age  against the House Selling Price. Correlation analysis results show that Building Area has the strongest correlation (0.81) with price, while Building Age shows a negative correlation (-0.52). The Linear Regression model demonstrated very strong and stable performance. The model achieved an R² Score of 0.9396 on the testing data, meaning 93.96% of house price variability can be explained by the model. Furthermore, the low MAE of only 11.31 million rupiah indicates a small prediction error, and the consistency of R² scores confirms that the model does not suffer from overfitting. This study concludes that the Linear Regression model provides excellent, stable, and reliable prediction performance for projecting house selling prices

Kemajuan teknologi dan keberadaan data besar dan kecerdasan buatan (Artificial Intelligence) yang dapat diakses, diteliti, dan diterapkan dalam beberapa dekade ini, bidang ilmu arsitektur pun mengalami perubahan dan perkembangan sebagai dampak dari fenomena tersebut. Namun kajian secara terstruktur maupun kajian secara cepat mengenai perubahan dan perkembangan teknologi terutama dalam pengetahuan Artificial Intelligence dan arsitektur yang mempengaruhi bidang keilmuan arsitektur itu sendiri di Indonesia belum tersedia secara komprehensif. Dalam penelitian literatur berikut ini, metode pencarian literatur melalui big data di internet dengan menggunakan perangkat lunak Publish or Perish yang kemudian dianalisa secara bibliometrik dengan menggunakan perangkat lunak VosViewer. Analisa bibliometric tersebut digunakan untuk mengidentifikasi kata kunci yang muncul bersamaan dalam penelitian selama 10 tahun terakhir. Secara keseluruhan, tujuan makalah ini adalah dapat menjadi sumber yang berguna untuk memperoleh wawasan tentang perancangan arsitektur dengan menggunakan Artificial Intelligence serta menjadi referensi untuk penelitian yang lebih lanjut.

Gangguan mental pada anak merupakan gangguan kesehatan yang terdiri dari keterbelakangan mental autis dan anxiety disorder. Banyak orang awam yang tidak menyadari bahwa anaknya mengidap gangguan autisme. Ketidaktahuan ini disebabkan oleh kurangnya informasi tentang gangguan tumbuh kembang anak, gejalanya, dan kurangnya dokter spesialis tumbuh kembang anak dan psikolog. Penyebab autisme sendiri sudah ada sebelum bayi lahir, bahkan sebelum vaksinasi. Sistem pakar adalah cabang AI (Artificial Intelligence) yang menggunakan keahlian secara luas untuk memecahkan masalah. Pakar adalah seseorang yang memiliki keahlian dalam bidang tertentu dan memiliki pengetahuan atau keterampilan khusus yang orang lain di bidangnya tidak tahu atau tidak mampu. Berdasarkan kondisi di atas, maka dibangunlah sebuah sistem yang menggunakan teknologi komputerisasi yang dapat mengadopsi kemampuan seorang ahli atau pakar yaitu teknologi Artificial Intelligence atau Kecerdasan Buatan.

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.

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.      

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.

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.

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.