This study aims to 1) To find out the general overview of the implementation of office automation at the Universitas Pejuang Republik Indonesia; 2) To find out the problems of office automation at the Universitas Pejuang Republik Indonesia; 3) To find out solutions to overcome office automation problems at Universitas Pejuang Republik Indonesia. The type of research used is a qualitative research method. The data sources of this research are the Head of the BAAK (Academic and Student Administration Bureau), University Operators and Lecturers. The data collection method is carried out by interviews and documentation. The data analysis technique is carried out in 3 stages, namely; data reduction; presentation of data and then drawing conclusions.  Based on the results of the research through interviews and documentation, it was found that the implementation of office automation in the aspect of value input and reporting of PDDikti at the Universitas Pejuang Republik Indonesia (UPRI) uses a website-based application called SIAKAD. Problems with office automation at UPRI include internet network disruptions and maintenance activities, academic calendar inconsistencies, and tolerance policies for student semester fee payments. The solutions to overcome the problems of office automation at UPRI include improving network infrastructure, scheduling maintenance, improving academic calendar management, implementing strict policies related to institutional rules, and strengthening the awareness and responsibility of structural officials in carrying out their main duties and functions. The implication in this study is that the leadership of Universitas Pejuang Republik Indonesia needs to implement firm and consistent policies, as well as good coordination between the faculty and the central administration to improve the efficiency of the academic process at the university. In addition, maintaining close cooperation between university operators and system developers (Aistech) as well as lecturer discipline in administrative procedures is essential to maintain the accuracy of academic data.