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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 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 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.  

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.

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.

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.

This research aims to analyze the influence of exchange rate, exports, and  imports on Indonesia's foreign exchange reserves in the period of 1992-2021. The dependent variable is foreign exchange reserves, whereas the independent variables consist of exchange rate, exports, and imports. The research uses secondary data in time series obtained from Indonesia’s World Bank Data. Data are analyzed with VAR (Vector Auto Regression), those analyzed use E-Views 10 apss by including analysis method, which includes stationary tests, stability tests, optimum lag tests, cointegration tests, VAR estimation tests, Engle Granger causality tests, Impulse Response Function (IRF) tests, and Variance Decomposition (VD) tests. The results of the study show that exchange rate variables have a large influence on foreign exchange reserves, while export and import variables have a small effect on foreign exchange reserves.

The United States is home to Tesla Inc., a manufacturer of auto parts. For efficient operation, Tesla Inc. must implement a supply chain management plan. In this section, we will assess the use of enterprise resource planning (ERP) in supply chain management at Tesla Inc. Tesla Inc. supply chain management based on a vertical supply chain integration strategy. Likewise, Tesla Inc. uses a self-designed enterprise resource planning (ERP) system called WARP to interconnect enterprise processes

Mental disorders are one of the public health problems in Indonesia. In general, mental disorders are caused by psychological pressure both from outside the individual and from within the individual. Some of the things that cause this is the ignorance of the family and society about this mental disorder (Hawari, 2007). According to WHO or the World Health Organization (2002) states that the prevalence of mental health problems is currently quite high, 25% of the world's population has suffered from mental health problems, 1% of which are severe mental disorders. The potential for a person to be susceptible to mental disorders is indeed high, every time 450 million people around the world are affected by mental, nervous, and behavioral problems. One form of mental disorder that is found throughout the world is a severe mental disorder, namely Schizophrenia (Hawari, 2007). Schizophrenia comes from two words, namely schizo which means cracked or broken and phrenia which means soul. Thus, people who suffer from schizophrenic mental disorders are people who experience mental fractures or personality cracks. Schizophrenia can arise because of the integration between biological, psychosocial and environmental factors (Sinaga, 2007). In schizophrenic patients there is personal disintegration and personal division. Emotional and intellectual behavior becomes ambiguous (compound), and has serious disorders and has regression or total dementia. Schizophrenic patients escape from the reality of life and remain silent in their fantasy world (Kartono, 2010).  

Consumer behavior is the study of how individuals, groups, and organizations select, purchase, use, and use goods, services, ideas, or experiences to satisfy their needs and wants. In Islamic economics, the goal of consumption is to maximize maslahah. Maslahah includes the integration of physical benefits and elements of blessing. In consumption, Islam positions it as part of economic activity that aims to collect rewards towards falah (happiness in the world and the hereafter). The motive for consumption in Islam is basically maslahah (public interest or general human good) for needs and obligations. In Islam, consumption cannot be separated from the role of faith. The role of faith is an important benchmark because faith provides a perspective that tends to influence human behavior and personality. Therefore, consumption is important because it fulfills the needs of human life. Without consumption, humans will not survive. What's more, consumption during the COVID-19 pandemic is in violation of the rules and other consumer rights.

Main Objective: The main objective of this study is to empower designers to collaborate with researchers in other disciplines — especially in the social sciences — by articulating a design inquiry model that can be implemented in a master's program in design. Background problems: Modern research problems are complex and design needs to be better integrated with the social sciences and play an equal role in addressing them. A final master's degree in design prepares students for this integration, but design activity should be evidence-based rather than viewed retrospectively as a form of research without change. We need to adapt to ultimately contribute to research. Novelty: There are main criteria for design-based inventions in this study, including value, relevance, novelty, focus, transferability, and practicality. When these criteria are met, investigations can operate within the social sciences, or they can be leveraged and serve as the discovery phase in evidence-based inquiry. Research Method: This study presents design-based discovery, a design inquiry model that places design in the theory development cycle as theory building, not theory testing. This research, therefore, uses a design inquiry model approach, (invention-based design) in other disciplines by articulating a design inquiry model that can be implemented in a master's program in design to be complementary and compatible with social science research. Finding/Result: A proposed design inquiry model with design exploration serving as the research discovery phase guiding the design activity to make specific contributions to areas of social science that are outside of design. It involves a careful process with six investigative components, all ultimately connecting the knowledge base beyond design to design exploration. Conclusion: This study proposes six main criteria for design-based inventions: value, relevance, novelty, focus, transferability, and practicality. In the model proposed in this study, the six investigative components are described and supported with examples. Notably, the investigative component includes a standardized format for research questions, as well as the derivation of design principles from processes that involve exploration rather than one that generates solutions. This model can easily be adopted in other master programs with the necessary resources. In addition, this model, if placed in design activities in evidence-based research practices, can become wider. There is no claim that a designer's self-reflection equates to a strictly social science method so design researchers must continue to study design and build on their knowledge of the discipline. Keywords: Design Thesis, Social Science, Postgraduate Thesis Design

The development of software today in large and small organizations encourages every organization to develop and control in terms of development. Every organization in software development must grow and be able to improve itself, one of which is by handling advancement, if the company cannot do this. Therefore, the company will never be able to learn to take advantage of previous experience, so it will not be able to improve the quality of the existing process. Computer program Prepare Advancement can be done by referring to the CMMI (Capability Development Demonstrate Integration) made by SEI (Computer Program Designing Founded). SEI is a research center in the field of program designing, especially those related to procurement, engineering item lines, and prepare change. CMMI itself defines several levels of development, in order to go up to a higher level a number of processes must be carried out.

This study aims to determine the integration level of Southeast Asian stock market with the world stock market using an international capital asset pricing model. The countries that were sampled in this study were Indonesia, Malaysia, Philippines, Singapore and Thailand. The sample period starts from January 2000 until August 2016. This study uses an partially-segmented international capital asset pricing model by including the assumption of residual that were correlated between asset pricing equations. Because of this assumption, the seemingly unrelated regression (SUR) estimation method is more appropriately compared to the ordinary least square (OLS) method. The results of this study indicate that the integration level of Southeast Asian stock market varies. The Singapore and Thailand stock markets are fully integrated with the world stock market, the Indonesian and Malaysian stock markets are partially integrated with the world stock market, while the Philippine stock market is segmented with the world stock market. This finding shows the difference in the effectiveness of the stock market liberalization process in Southeast Asia

Forensics has become an essential part of the disclosure of criminal evidence. A bioinformatics approach in the form of DNA forensics and digital forensics can be a good combination in disclosing digital-based criminal evidence. This study explains how the role of bioinformatics through the digital approach can be a means of forming new approaches in integration with digital forensics, called cyber-bioinformatics. Despite many hopes and challenges ahead, it does not rule out the possibility of criminal cases related to the privacy of human genomic data, so it proposes a new hypothesis, “cyber-bioinformatics.” The role of cyber-bioinformatics is very central in this regard.