This article focused on examining the political ethics of digital citizenship in Indonesia in the digital era at a time of technological and scientific progress, specifically in the context of the 2024 election. Changes supported by advances in information technology have also shaped the political character of each individual in the digital era. There are many negative as well as positive things that arise, making it an interesting discourse to research. This descriptive qualitative research explored data through in-depth interviews and reviewing literature sourced from books and articles and analyzed the content and conversations of digital citizens on social media Instagram ahead of the 2024 elections. The research results showed a shift in the political ethics of Indonesian citizens in the digital realm towards a better direction. Even though there was still a lot of conflict, disputes, commotion in the digital world in the 2024 election. Sharp discourse in the digital world in the 2024 Election, which was accompanied by data-based campaigns, was in line with the concept of worldly ethics initiated by Hannah Arendt. This concept can also be a solution to overcome the negative side of digital politics, including in the 2024 elections. Moreover, the existing dynamics of digital politics were based on non-primordial political ethics, that is, they are not accompanied by narratives of identity politics among citizens.

This study aims to analyze the effect of employee additional income (TPP) on employee performance with employee competence as a mediating variable at the Regional Secretariat of Mojokerto City during the COVID-19 pandemic. This study uses a quantitative approach with an explanatory method. Data were collected through a questionnaire distributed to 55 employees selected using proportional random sampling. Data analysis was conducted using multiple linear regression and path analysis to examine the relationships between variables. The results of the study indicate that TPP has a positive and significant effect on employee performance. Additionally, TPP also positively influences employee competence, which ultimately improves employee performance. Employee competence was found to mediate the relationship between TPP and employee performance, so that the increase in TPP not only has a direct impact on employee performance but also strengthens employee competence, contributing to overall performance improvement. This study also shows that other supporting factors, such as leadership and organizational culture, play an equally important role in improving employee performance. The conclusion of this study emphasizes that providing TPP can be an effective strategy to improve employee performance, especially when supported by continuous competency development programs and efforts to improve managerial quality.

This article discusses the actualization of policy formation in the finance sector based on artificial intelligence. The research method used in this study is normative juridical. In terms of its purpose, this research is descriptive-analytical. The types of data used are primary and secondary data. The data collection methods include literature studies and analysis of relevant legislation, which are analyzed qualitatively to obtain conclusions presented holistically, systematically, and objectively. The implementation of policies based on artificial intelligence in the financial sector in Indonesia has significant benefits and is highly relevant to apply. The formation of AI-based policies can provide better and more accurate data analysis and increase efficiency in the financial sector.AbstrakArtikel ini membahas tentang aktualisasi pembentukan kebijakan di bidang keuangan berbasis kecerdasan buatan. Metode penelitian yang digunakan dalam penelitian ini adalah metode yuridis normatif. Dari segi tujuannya, penelitian ini merupakan penelitian deskriptif analitis. Jenis data yang digunakan adalah data primer dan sekunder. Adapun metode pengumpulan data yang yang digunakan meliputi studi kepustakaan serta analisis terhadap peraturan perundang-undangan terkait yang dianalisis secara kualitatif sehingga memperoleh kesimpulan yang dituangkan secara holistik, sistematis, dan objektif. Penerapan kebijakan yang berbasis pada Artificial Inttelligence pada sektor keuangan di indonesia memiliki manfaat yang sangat besar dan sangat relevan untuk diterapkan. Dengan dibentuknya kebijakan yang berbasis Artificial Intelligence, hal tersebut dapat memberikan analisis data yang lebih baik dan lebih akurat serta dapat meningkatkan efisiensi di bidang keuangan. 

The liquidity ratio is a measurement of the ability of a company's assets to finance its short-term liabilities or debt. The liquidity ratio is a measurement of the ability of a company's assets to finance its short-term liabilities or debt. The research results show that the financial performance of Pharmaceutical Sub-Sector Companies on the BEI is based on the Current Ratio (CR) in the poor category and the financial performance of Pharmaceutical Sub-Sector Companies on the BEI is based on the Quick Ratio (QR) in the poor category.

The current problem is that in an increasingly sophisticated era, student ethics are increasingly decreasing. One of the tasks of higher education is to create students with character and achievements. Thus, this research will examine the implementation of the student code of ethics and its implications in creating students with character and achievements. The aim of this research is to find out the process of implementing the code of ethics and its implications for students. The method used in this research is descriptive qualitative. The conclusion of this research is that the implementation of the student code of ethics has gone well and has positive implications in creating students with character and achievements, namely 70.71%. From the results of implementing the code of ethics, students have their own character and achievements which are viewed from aspects of student character and aspects of student achievement. In implementing the code of ethics, there are supporting and inhibiting factors.
 
 

Interest in buying a motorcycle is certainly caused by various criteria, from the criteria of brand, model, type, price, engine capacity, transmission, braking, year of manufacture and fuel consumption. Of the many criteria, of course, makes buyers get a variety of choices according to their wishes. However, in practice, there are difficulties in determining the criteria in the selection of motorcycles because many consumers do not understand the criteria for motorcycles. The weight of the assessment criteria for the COPRAS method for choosing motorcycles are namely price criteria weighing 40%, fuel consumption weighing 30%, engine capacity weighing 20% ??and year of manufacture weighing 20%. The recommendation results from the selection of criteria for the Honda brand, type of scooter, automatic transmission and single disc braking, the recommendation results obtained are Beat Street with a value of 1,000, Genio with a value of 0.995, Scoopy with a value of 0.929, Vario 150 with a value of 0.866, PCX with a value of 0.812 and ADV with a value of value 0.796.