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All Journal Masyarakat Mandiri: Jurnal Pengabdian Dan Pembangunan Lokal
Teagen Akarin Jabina Putri
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Agriculture, Biological Sciences & Forestry Humanities Economics, Econometrics & Finance Education Engineering

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Sosialisasi dan Edukasi Sistem Penilaian Kinerja Pegawai pada Badan Pendapatan Daerah Kota Palembang Teagen Akarin Jabina Putri; Dina Mellita; Efan Elpanso
Masyarakat Mandiri : Jurnal Pengabdian dan Pembangunan Lokal Vol. 3 No. 3 (2026): Juli: Masyarakat Mandiri : Jurnal Pengabdian dan Pembangunan Lokal
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/masyarakatmandiri.v3i3.3345

Abstract

This community service activity aimed to support the socialization and education of the employee performance appraisal system through the e-Kinerja application at the Regional Revenue Agency (Bapenda) of Palembang City. The activity was carried out using a qualitative descriptive approach, with data collected through in-depth interviews with human resources staff and official documentation from the e-Kinerja system developed by the National Civil Service Agency (BKN). The results show that Bapenda Palembang has implemented a digital performance appraisal system in line with Government Regulation No. 30 of 2019 on Civil Servant Performance Appraisal and Ministerial Regulation No. 6 of 2022 on ASN Performance Management. Appraisals are conducted quarterly using four main components: Work Results, Work Behavior, SKP Score, and Organizational Achievement. The observed employee consistently achieved Good ratings across all 2025 assessment periods. Two primary factors affecting appraisal quality were identified: (1) discrepancies between system data and actual field performance due to technical and time limitations; and (2) SKP targets not being met due to unrealistic target-setting, uneven task distribution, and competency gaps. This service activity recommends regular e-Kinerja technical training for employees, participatory and SMART-based SKP formulation, and optimization of the monitoring features within the system.
Co-Authors Dina Mellita Efan Elpanso