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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.

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 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.  

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.    

Inflation is closely related to unemployment and the economic performance of a country. The relationship between the inflation rate and unemployment affects decisions to be taken in financial policy. The purpose of this article is to analyze government policies in Batam City regarding the threat of unemployment in inflation in 2018-2020. The method we use is library research. From the results of our analysis, we find that the highest unemployment rate is in 2020 at 11.79% . And the movement of inflation has increased and decreased. We also analyze the policies that can be taken by the Batam city government in overcoming this problem.  

Unemployed are people or people who have not got a job, are looking for work and have lost their job or are not working at all. This study aims to analyze Government Policy Related to the Threat of Unemployment Post-Inflation Increase in DKI Jakarta. The research method used in this research is by using quantitative methods. The object of analysis will be obtained from BPS or the Central Statistics Agency. BPS is an institution that deals with censuses and statistics. The results show that the numbers can affect a state's income because not having income can cause economic problems and poverty. Therefore, government policies are urgently needed to overcome this unemployment.  

This study aims to analyze the influence of SEA and E-WoM on college decisions for Digital Business Study Program, Universitas Al Irsyad Cilacap, The object of this research is the Digital Business Study Program at Al-Irsyad Cilacap University, while the subjects are students of the Digital Business Study Program at Al-Irsyad University Cilacap. sampling with purposive sampling technique. The number of samples in this study were 31 respondents. Data was obtained through questionnaires which were distributed directly to digital business students at Al-Irsyad University, Cilacap. The data analysis technique uses SPSS version 22. Based on the results of the analysis carried out, it shows that SEA has a positive effect on digital business study study decisions, E-WoM has a positive effect on digital business study study decisions.

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 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.

Background : Diarrhea is still the leading cause of morbidity and mortality in the world. According to data from the United Nations Children's Fund (UNICEF) and the World Health Organization (WHO) in 2013 diarrhea is the second leading cause of death in children under five. The purpose of the study was to determine the relationship between mother's education level, occupation, income, mother's knowledge, and latrine ownership with the incidence of diarrhea in children under five in Bram Itam Kiri Village.Methods : Using a cross sectional approach with a population of 166 mothers, the number of samples was 68 respondents. The sampling technique was carried out using simple random sampling. Data were collected using a questionnaire sheet and analyzed univariate and bivariate using chi square analysis.Results : The level of education in the low category is 48.5%, employment in the unemployed category is 58.9%, income in the low category is 70.6%, knowledge in the poor category is 83.8%, latrine ownership in the category does not meet terms of 61.8%. Bivariate results of education level (0.003), mother's occupation (1,000), family income (0.019), knowledge (0.028), and latrine ownership (0.002) with the incidence of diarrhea in children under five.Conclusion : There is a relationship between the level of education, family income, knowledge, and ownership of latrines, and there is no relationship between the mother's occupation and the incidence of diarrhea in children under five.      

This study analyzed the writing skills in English expository text. There are five indicators in writing expository text: content, organization, grammar, vocabulary, and mechanics. This study aimed to investigate the students' writing skill on expository text related to the five indicators of English expositorytext and investigated the difficulties in writing English expository text. This research study used a descriptive quantitative research design. The participants were first semester students at English Literature Study Program of Universitas Trunojoyo Madura. The data collected from students' writing expository text test and analyzed by using Heaton’s theory. The result data analysis showed that: 1) 47% of students were average to good in writing content, 2) 51% of students were average to good in writing organization, 3) 31% of students were average to good in using grammar, 4) 36% of students were very good to excellent in using vocabulary, 5) 44% of students were very good to excellent in writing mechanics. This research found some difficulties the students when writing expository text. First, students cannot develop their ideas. Second, students are unable to develop their idea based on topic that they have to explain in expository text. Third, students struggle with grammatical structure of expository text. That means, they have to more understand about the simple present tense. Fourth, they were difficult to select appropriate vocabulary when writing expository text. The last, they miss-spelt words and were unsure of proper punctuation that was causing an error of mechanics.    

Financing is the main function and product of Islamic banking, namely the distribution of funds aimed at helping those in need, and if managed properly, can contribute significantly to Islamic banking income. However, in their distribution, funds carry many risks due to the uncertain and diverse nature of humans. This risk is reflected in the existence of loans that face problems that reduce the profits or profitability of Islamic banks. The purpose of this study is to explain the effect of Financing, Non-Performing Financing (NPF) and Financing to Deposit Ratio (FDR) on the profitability (ROA) of Bank Kaltimtara Syariah By including Financing, Non-Performing Financing (NPF) and Financing to Deposit Ratio (FDR) as the independent variable and profitability (ROA) as the dependent variable. This is a quantitative research with multiple linear regression analysis techniques. The population or research theme is the annual report of Bank Kaltimtara Syariah. A total of 9 samples were taken from the Bank Kaltimtara Syariah Quarterly Financial Report for the 2016-2018 period. Based on the test results, it is known that tcount = - 1.4 98 < t table = 1.8 3 3 Financing and NonPerforming Financing (NPF) both have no significant positive effect on Return On Assets (ROA). While the Financing to deposit Ratio (FDR) regression shows a significant influence on Profitability (ROA). The amount of tcount is 1.859 > ttable 1.833

Malaria is still a public health problem in Indonesia because of its high morbidity and mortality rates, especially in areas outside Java and Bali. In transmigration areas where there is a mixture of people from endemic and non-endemic areas of malaria, cases or epidemics still frequently occur which cause many deaths. Data from the Tebo District Health Office for January-July 2014 were 519 people out of a population of 328,564 people (0.16%) with an AMI of 1.6. The highest incidence of malaria was in the Mengupeh Health Center, Tengah Ilir District, with 75 people out of a population of 11,820 people (0.63%) with an AMI of 6.34. The purpose of this study was to find out the description and relationship between malaria prevention efforts in the Working Area of ​​the Mengupeh Health Center, Tengah Ilir District, Tebo Regency in 2015. This research is a quantitative study with a cross sectional research design. In this study, the sample was the community in the Working Area of ​​the Mengupeh Health Center, Tengah Ilir District, Tebo Regency, with a sample size of 96 people. The results showed that of the 96 respondents, 57 (59.4%) respondents had poor motivation, 59 (61.5%) respondents had a bad environment, respondents had poor malaria prevention efforts. The results of the analysis showed that there was a relationship between motivation and a p value of 0.007 (p <0.05), environment with a p value of 0.009 (p <0.05) on malaria prevention efforts in the Working Area of ​​the Mengupeh Health Center, Tengah Ilir District, Tebo Regency. Advises the public to be active in seeking information about prevention of malaria in order to reduce the incidence of malaria. At the same time actively maintaining the cleanliness of the home environment and their respective settlements.    

Information systems in modern times now have a fairly important role in the progress of an organization, including in the business world. The obstacles that often arise in Small and Medium Enterprises (SME) namely on a transaction system that is still manual, with using paper to archive company data. Thus it will clearly make it difficult to control financial report data and transaction data. For this reason, it is important to earn for a certain system which able to help process transaction data and reports, which can also be useful for interested parties to overcome these obstacles. The required application system is an Accounting Information System. This research was conducted using quantitative analysis methods, namely by collecting accurate data. The aim of this research is none other than to analyze the effect of management information systems on decision making at Desi stores. The data collection method used by researchers is to create a questionnaire. The sample studied was 20 respondents using simple linear regression data analysis techniques. The influence of information systems in making decisions on selling prices at Desi Store is 67.4%. As the result of this research we can see that accounting information system for ‘Desi stores’ has played an effective and efficient role as a management tool in making pricing decisions, because most of the selling prices in 'Desi stores' use prices suggested by the official salesperson of these products. However, data processing and recording of company financial reports at 'Desi stores' still use a fairly simple method, namely with using paper to archive company data.

Financial distress is a condition whene the company are in a state financial difficultes. Every company must have an early an early warning system to detect the potential for financial distress in order to avoid bankruptcky. The Purpose of this is to analyze and provide empirical evidence regarding the effect profitability (ROA), as a moderating between liquidity (CR), leverage (DAR), sales gowth (SG), in predicting financial distress (Altman Z-Score). The population in this purpose were retail companies on the IDX for the 2016-2020 period, with a sample of 19 companies studied for 5 years so that 95 samples were obtained, using the purposive sampling method. The data used is secondary data in the form of information from the company’s financial statements. The data analysis technique used logistic regression and moderating regretion analysis (MRA). The rsults prove that the variables of liquidity, sales growth and profitability are able to predict financial distress, while leverage cannot predict financial distress, the profitability variable strengthens the influence of liquidity and sales growth in predicting financial distress but weakens leverage in predicting financial distress. The advince given is expected thet the company can increase the effectiveness and efficiency in managing assets and can increase sales so that the profit received by the company increases so that the company can avoid financial distress.

The purpose of this research is to: 1) is to find out the structure of the novel (characters, plot, and setting) that builds the storytelling in the novel Bukan Pasarmalam by Pramoedya Ananta Toer. 2) Is to know the social values contained in the novel Bukan Pasarmalam by Pramoedya Ananta Toer. 3) is to know the moral values in the novel Bukan Pasarmalam by Pramoedya Ananta Toer. 4) is to find out the relevance between the novel Bukan Pasarmalam and learning Indonesian language and literature in high school. This research method uses content analysis method, using a qualitative approach. With the method used, this study found the results that: 1) The structure of the novel Bukan Pasarmalam describes people's lives in Indonesia before and after independence. In this novel, Pramoedya describes the sadness, suffering and difficulties of the post-independence Indonesian people. 2) the findings and results of the analysis of this novel, it is known that the novel Bukan Pasarmalam contains social values through social interactions within the family and society. These values include: the value of affection, the value of compassion, the value of protection, the value of religiosity, the value of caring, the value of equality, the value of togetherness, the value of sincerity. 3) The moral values contained in the character I are in the form of behavior that most are worthy of being an example for everyone such as being responsible, patient, guarding one's tongue, and being religious. 4) The social values and moral values in the novel Bukan Pasarmalam can be relevant to the 2013 curriculum for Indonesian language and literature subjects in class XI high schools, there is material about analyzing the intrinsic and extrinsic elements of literary works, one of which is Indonesian novels which contain values cultural, social, moral, historical, and religious with basic competencies: identifying life values contained in a collection of short stories and analyzing messages from two fiction books (novels and poetry), while the learning materials: short stories, short story contents, values life, short story intrinsic elements, novel elements and reviews of novels.  

This study aims to find out how the financial condition happened in the case of the IPDN project at the company Pt. Hutama Karya. In this case, the project case is reviewed by analyzing the financial problems that occur in it. The research method used is quantitative by taking a comparative calculation approach between 2021 and 2022, which type of research uses a secondary data approach obtained from annual financial reports for a period of 1 year, namely 2021-2022, books, journals, and other sources. other. The results of the research can be concluded that the company PT. Hutama Karya experienced a decrease in profitability in 2022 where the performance of financial companies in the 2022 period decreased, from the results of the gross profit margin analysis it can be seen that the proportion of company revenue decreased by a difference of 1% and from the results of the profitability analysis using the ratio of return on assets decreased reached 0.08% above the profit from managing the company's resources and assets.

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.

This study intends to investigate the relationship between motivation and student learning outcomes. Impact measures in several studies that examined the relationship between the influence of motivation on student learning outcomes were analyzed using a meta-analysis procedure. Empirical data were collected using electronic search engines such as Google Scholar, Garuda Portal, and national journal URLs. The effect size is used as a starting point for data analysis. A systematic review of research findings in Indonesia's national e-journal was used, with 18 articles selected as a sample that met the criteria. The results of calculating the combined effect size obtained a p-value of less than 0.001 and an estimated value of 0.825. A meta-analysis study found that motivation and learning outcomes had a significant relationship, with the strength of the relationship in the high category. The variance of the studies analyzed is also very high, with I2 test results far exceeding 50%, implying that this study is heterogeneous, with a significant estimate value in the SMK subgroup category (estimated value 1,031) with a p-value of 0.001 and the SMP subgroup (estimated value 1.186) with a p-value of 0.005.