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Digital transformation in Indonesia has increased dependence on digital database systems, so that personal data protection has become a crucial issue. This research aims to analyze the urgency of protecting personal data in digital database systems in Indonesia from regulatory, ethical and technical strategy aspects. The method used is literature study and document analysis of regulations, ethical practices and data protection technology. The research results show that even though Law Number 27 of 2022 concerning Personal Data Protection (UU PDP) has been passed, its implementation still faces challenges in the form of low digital literacy, weak law enforcement, and not yet optimal monitoring infrastructure. Additionally, implementing ethical principles and technical strategies, such as encryption, access control, and privacy by design, is critical to strengthening data security. This research concludes that effective personal data protection can only be realized through synergy between strong regulations, the application of digital ethics, and adequate technical strategies, in order to safeguard individual privacy rights in the digital era.

The development of the Internet of Things (IoT) has changed the paradigm of banking services by offering innovations in operational efficiency, security and customer experience. Despite this, IoT implementation in the banking sector faces significant challenges related to data security and infrastructure costs. This research aims to explore the impact of implementing IoT in banking services and to identify the opportunities and challenges faced in the current digital era. This research method involves case studies, in-depth interviews, and surveys to analyze the use of smart ATMs, wearable devices, security sensors, and smart queuing systems in various banking contexts. The analysis results show significant improvements in operational efficiency and customer satisfaction, while also highlighting challenges related to data security and implementation costs. The implications of this research include recommendations for further development in IoT technology in banking services, with a focus on enhanced data security and effective implementation strategies.

Recent developments in information and communication technology such as artificial intelligence (AI) provide new opportunities to increase the efficiency and accuracy of performance assessment. The impact of the COVID-19 pandemic and the shift to a remote work model has created a need for technology solutions to unify and transmit the performance of employees working from multiple locations. The use of technology in performance management evaluations may raise concerns regarding data security and privacy, inconvenience or resistance to employees or stakeholders. Not all employees or managers have the same level of skill and understanding of the technology being implemented and it requires a high initial investment in maintenance and upgrades. This article provides an understanding of how technology can be applied in management performance evaluation and its benefits in increasing efficiency, objectivity and accuracy in employee assessment as well as providing recommendations for innovation and changes in the use of technology in management performance evaluation. The methodology used is a qualitative method by collecting data from various information sources. Some of the positive impacts of implementing technology in performance evaluation management are increased efficiency and productivity, real-time feedback, increased objectivity and fairness, more accurate and measurable performance monitoring. The technologies that can be used are Go Talent, Feedback and Recognition Systems, Analytics Technology, Application-Based Performance Evaluation Systems, Use of AI for Objective Evaluation and Chabots for Feedback.