
Research Article
Efforts to Improve the Performance of Cisondari Village Government Employees
@INPROCEEDINGS{10.4108/eai.12-11-2024.2358331, author={Fandi Ahmad and Nisha Faradilla Sofiani and Rofi Ramadhona Iyoega and Anisa Aulia Hafsani}, title={Efforts to Improve the Performance of Cisondari Village Government Employees}, proceedings={Proceedings of the 6th International Conference on Administration Science, ICAS 2024, November 12th, 2024, Bandung, Indonesia}, publisher={EAI}, proceedings_a={ICAS}, year={2025}, month={12}, keywords={performance pica village government employees}, doi={10.4108/eai.12-11-2024.2358331} }- Fandi Ahmad
Nisha Faradilla Sofiani
Rofi Ramadhona Iyoega
Anisa Aulia Hafsani
Year: 2025
Efforts to Improve the Performance of Cisondari Village Government Employees
ICAS
EAI
DOI: 10.4108/eai.12-11-2024.2358331
Abstract
Performance improvement is essential for achieving organizational goals, and systematic monitoring and evaluation (M&E) play a vital role in assessing program success and supporting strategic decision-making. M&E enables organizations to gather accurate performance data, identify challenges, and design corrective strategies. However, field observations reveal persistent performance gaps among Kepala Urusan (KAUR, or Heads of Affairs), whose outputs often fall short of established targets. Follow-up interviews further indicate that limited employee competence and ineffective task management contribute to these shortcomings. This study employs a qualitative approach involving direct observation and in-depth interviews to analyze the underlying factors affecting employee performance. It proposes the integration of the Problem Identification and Corrective Action (PICA) framework to optimize the M&E process and assist village heads in decision-making. By encouraging each KAUR to document specific objectives and encountered obstacles, the approach enables early detection of performance issues and timely intervention. The application of this model is expected to enhance organizational learning, responsiveness, and overall performance sustainability.


