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Copyright is a key pillar of the Intellectual Property Rights system, providing legal protection for creative works in the arts sector, particularly musical works. Within the copyright framework, the most crucial aspect is economic rights, namely the exclusive right of creators to derive financial benefit from any use of their works. However, the reality on the ground demonstrates the rampant use of songs for commercial purposes without proper authorization, which directly harms creators. This article analyzes economic rights violations in the context of commercial use, using the case study of the song "Akad" by Payung Teduh as a case study. This research uses normative legal methods through a statutory and legal conceptual approach. The research findings indicate that the exploitation of songs for material gain without the explicit consent of the rights holder constitutes a clear violation of Law Number 28 of 2014 concerning Copyright. Such violations carry serious legal consequences, including civil liability in the form of compensation payments and criminal sanctions. Therefore, synergy between firm law enforcement and increased collective public awareness is necessary. These efforts are vital to guaranteeing the protection of creators' economic rights while creating a healthy, fair, and sustainable creative industry ecosystem in Indonesia for all arts stakeholders.

This study was conducted to examine the effect of compensation on employee performance through a literature review approach. The background of this research is based on the importance of compensation as a factor that contributes to improving employee work outcomes. Compensation is not only considered as remuneration for work performed, but also as an element that can encourage motivation and productivity. The study applied a descriptive method using a literature review approach. The data used were secondary data obtained from 20 national scientific journals published since 2020, discussing compensation and employee performance. Data collection was carried out through library research by selecting, classifying, and reviewing relevant literature sources. Furthermore, the data were analyzed descriptively by interpreting findings from previous studies. The results indicate that 19 out of 20 journals reported a positive and significant relationship between compensation and employee performance. Therefore, it can be concluded that compensation plays an essential role in enhancing employee performance, making an effective compensation system a crucial aspect of human resource management.

This study aims to analyze the comparison of the impact of financial and non-financial compensation effectiveness on turnover intention among Generation Z employees. The high turnover rates within Generation Z, despite receiving adequate financial compensation, indicate a shift in their preferences regarding the workforce. Generation Z tends to seek more than just financial compensation, such as flexibility, a supportive work environment, and opportunities for growth. The method used in this study is a literature review, analyzing various relevant scholarly journals related to strategic compensation, Generation Z characteristics, and turnover intention. The research findings show that non-financial compensation has a more significant impact in reducing turnover intention among Generation Z compared to financial compensation. Therefore, companies need to focus on aspects such as work-life balance, career development opportunities, and an inclusive and supportive work culture. These findings provide valuable insights that companies should adopt a more holistic reward approach through the total rewards concept, which includes both financial and non-financial compensation, in order to enhance loyalty and retention of Generation Z employees in the long term.

This study aims to explore employees’ work experiences related to work-life balance and compensation in shaping employee performance at CV. Sepanjang Masa (Masa Kreatif), a social media agency located in Makassar. A qualitative approach with a descriptive-analytical field design was employed. Data were collected through in-depth interviews, passive participant observation, and documentation involving 11 informants from both management and creative teams. Data analysis followed processes of data reduction, data display, and conclusion drawing, with trustworthiness ensured through triangulation techniques. The findings reveal that employees’ work-life balance experiences are dynamic and heterogeneous. Work flexibility provides opportunities for personal time management; however, rapid response demands and intensive content production blur the boundaries between work and personal life. A supportive, communicative, and collaborative work environment acts as a protective factor that mitigates work pressure and fosters creativity. Compensation is perceived not only as financial remuneration but also as a symbol of recognition, professional development opportunities, and organizational appreciation, although gaps remain between employee expectations and organizational capacity. Integratively, work-life balance, work environment, and compensation constitute interconnected work experiences influencing employee engagement and performance within the digital creative industry.

Conflicts in transmigration areas are generally multidimensional and influenced by social, economic, land, and institutional factors. This study aims to identify the forms and distribution of conflicts in three districts of the transmigration area, namely Momi Waren District, Ransiki District, and Oransbari District, as well as to formulate a smart system-based conflict resolution approach through the use of spatial data, local institutions, and local wisdom-based settlement practices. Based on field mapping, four main categories of conflict were identified: 1) Land conflicts occur throughout the transmigration sites in the form of claims to transmigration land that has not been handed over to transmigrants because the compensation price is below normal. In addition, there is no ATR BPN office in South Manokwari Regency, one of whose functions is community empowerment and conflict resolution. 2) Economic conflicts occur because transmigrants are registered and recorded in the population registry, making it easy for them to access capital. Several economic activities in agriculture and transportation services are dominated by transmigrants, causing economic jealousy. 3) Social conflicts occur when the distribution of social assistance is uneven and the excessive use of illegally sold alcoholic beverages causes social unrest. 4) Institutional conflicts occur when civil servants, police, and military personnel are recruited, and not all indigenous Papuans who are nominated can be accommodated, requiring the involvement of tribal councils to formulate recommendations for recruitment that prioritize indigenous Papuans. The root causes of the conflict were analyzed using a root cause analysis approach that covered unclear land boundaries, unequal economic access, weak coordination between institutions, and low social trust due to differences in interests between groups. This study utilizes best practices from the Tribal Council, the South Manokwari Regency Transmigration and Manpower Office, the Religious Harmony Forum, and the Social Services Office as the basis for developing smart maps for an early warning system for conflicts. The results of the study formulate a Smart Conflict Resolution System framework consisting of three main components: (1) participatory spatial mapping of conflicts and key actors, (2) integration of institutional databases and social-customary mediation channels, and (3) design of smart maps as a mitigation and decision-making tool in transmigration areas. This system is expected to strengthen collaborative governance, prevent conflict escalation, and realize inclusive and sustainable management of transmigration areas

This study was carried out at RS Hj. Fatimah Sulhan in Kabupaten Demak, Jawa Tengah, which functioned as both the research site and the moderating context of the investigation. The research aims to examine how personal compensation, Organizational Citizenship Behavior (OCB), and organizational commitment influence employee work performance within the hospital environment. A quantitative research design was implemented, involving 150 employees selected as respondents through appropriate sampling procedures. Data were collected using structured questionnaires and subsequently analyzed using Structural Equation Modeling (SEM) with the AMOS software to test the hypothesized relationships among variables. The findings reveal that personal compensation, OCB, and organizational commitment each exert a positive and statistically significant impact on employee performance. These results indicate that fair and competitive compensation, strong voluntary work behaviors, and a high level of commitment to organizational goals collectively enhance productivity, service effectiveness, teamwork quality, and overall institutional performance in the healthcare setting.

This study explores the reconstruction of the abolition of compensation payments to foster justice for convicts, specifically evaluating the intersection between Law No. 31 of 1999 and Law No. 20 of 2001. The research addresses the persistent legal dilemma where state loss recovery mechanisms often overlook the fundamental rights and socio-economic realities of prisoners. Under the current regime, the imposition of substitute imprisonment for unpaid financial obligations is perceived as a "layered punishment" that undermines human dignity and fails to reflect proportional justice. The analysis reveals that the retributive orientation established in Law No. 31 of 1999 results in a "lose-lose" outcome: the state remains uncompensated while the financial burden of correctional costs increases due to extended incarceration. By integrating the fiscal and state financial management principles found in Law No. 20 of 2001, this research proposes a shift toward more proportional and restorative asset recovery. The study concludes that the role of the Prosecutor must be reoriented toward accurate asset tracing and the implementation of humane payment schemes. Future legal reforms must ensure that the state's interest in fiscal restoration does not sacrifice the convict's basic rights, prioritizing distributive justice to create a more humane anti-corruption framework.

There is one problem related with source Power man that is turnover that occurred at Hospital X and is known reach more from 10%. Research aiming for analyze Job Satisfaction as an intervention in connection between compensation compensation, leadership transformational, and burden Work to turnover intention in nurses power Work contract at Hospital X. Research use approach quantitative with type explanatory. Population in study is all over Labor Nurse Contract at Hospital as many as 562 people. The sampling method used is non-probability sampling. Research data This using primary data that is done with share questionnaire in a way direct through google form with alternative answer use scale Likert. Research This use approach Structural Equation Model (SEM) with measurement model using Smart PLS program version 3.2.9. Research results This find that in a way simultaneous all over variable influential to turnover intention. In partial compensation, leadership transformational, and burden Work found own influence significant to Job Satisfaction. More carry on in a way partial satisfaction too work, compensation, leadership transformational, and burden Work own influence significant to turnover intention.

Rapid developments in the Artificial Intelligence (AI) industry have triggered an increased need for workers with specialized competencies, which has implications for significant variations in salary levels. This research aims to analyze the factors that influence salaries in the AI sector using the multiple linear regression method. The dataset used includes 15,000 AI job vacancies with variables including job and company characteristics. The data was engineered via the one-hot encoding method and divided into two parts: training data (80%) and test data (20%). The analysis results show that the regression model is able to explain 85% of the variation in salary, with an R² value of 0.85 and a Root Mean Square Error (RMSE) of USD 23,221. The three main factors identified as having a significant influence on salaries in the AI field are work experience, company location, and the industry in which the company operates. The experience factor reflects the skills and knowledge developed over many years, which can increase productivity (Rony et al., 2023). Company location also plays an important role, as the cost of living and demand for skilled labor varies by region (Badran, 2019). Additionally, the specific industry in which an employee works influences salary, given that more developed industries can often offer higher compensation (Huang, 2025). This research makes a significant empirical contribution to the understanding of compensation structures in the AI labor market.