<![CDATA[This research aims to: (1) analyze the condition of employee leave services prior to the implementation of the electronic leave system (Cuti-E); (2) analyze the process of implementing the electronic leave system (Cuti-E); (3) examine the obstacles encountered in the implementation of the electronic leave system (Cuti-E); and (4) assess the efforts required to improve the quality of the electronic leave system (Cuti-E) within the Secretariat General of the House of Regional Representative. This study's research method is descriptive qualitative, with informants chosen using purposive sampling. Interviews, literature reviews, observation, and documentation are some of the data collection techniques used. The interactive model developed by Miles, Huberman, and Saldana was used to analyze data. The study confirmed that implementing the Cuti-E system is more effective than the manual (paper-based) leave method. Cuti-E's success depends on effective communication, which ensures consistent understanding and optimal adaptation among stakeholders. In terms of resources, Cuti-E's implementation emphasizes the importance of effective human resource, digital facility, and budget management. The disposition of stakeholders also influences policy success, with good communication and technological adaptation facilitating effective implementation. Furthermore, well-established SOPs and effective task fragmentation management within the Setjen DPD RI bureaucracy ensure that Cuti-E is implemented smoothly. Although the Cuti-E system is designed to simplify processes for employees, several challenges still need to be addressed, such as uneven internet access, limited accessibility for non-civil servants, and difficulties in archiving and communication. Efforts to enhance the quality of the Cuti-E system in the Secretariat General of the DPD RI should employ the principles of George C. Edward III's policy implementation theory (1980). These include improving standard operating procedures (SOPs), developing technological infrastructure, enhancing user experience, and implementing performance monitoring and evaluation. With these measures, the Cuti-E system is expected to operate optimally and contribute to the overall organizational performance.]]>
