TY - JOUR
T1 - NUSANTARA
T2 - 4th Information Systems International Conference 2017, ISICO 2017
AU - Cahyaningsih, Elin
AU - Sensuse, Dana Indra
AU - Arymurthy, Aniati Murni
AU - Wibowo, Wahyu Catur
N1 - Funding Information:
The Authors thank to University of Indonesia and Indonesian Higher Education and Research Technology Ministry for facilitate research with research grant of PUPT Research 2016-2017. We would like to thank the State Ministry for State Apparatus Reform (KEMENPAN & RB), National Civil Service Agencies (BKN) and National Institute of Public Administration (LAN) for facilitate data research.
Publisher Copyright:
© 2018 The Authors.
PY - 2017
Y1 - 2017
N2 - Knowledge management is one of organizational strategy to improve the organizational competitive value. Align with presidential regulation No. 81 Year 2010 about bureaucratic reform and PERMENPAN&RB No. 20 year 2010 about bureaucratic reform roadmap declare that one bureaucratic reform objective are human capital development. This program is important to increase the public service. Three government ministries based on the UU No. 5 Year 2014 about Government Human Capital assigned to manage them. This research aims to develop the model of knowledge management for government human capital management. Research object implicate State Ministry for State Apparatus Reform (KEMENPAN & RB), National Civil Service Agencies (BKN) and National Institute of Public Administration (LAN). While the research stages are identify the strategic issue, develop the theoretical model, evaluate the theoretical model, identify the element model and knowledge and the last develop the model. Data analysis uses multiple methods in qualitative and quantitative technique. This model was developed using hybrid and synthesis method from the theoretical model of Indonesian knowledge management, knowledge management solution and foundation and the APO framework KMP. The model of government human capital knowledge management of Republic Indonesia (NUSANTARA) consist of eight component there are vision and mission, CSF, KM Mechanisms and Technologies, KMS, KM cycle, KM process, organizational core knowledge and outcome (government public services).
AB - Knowledge management is one of organizational strategy to improve the organizational competitive value. Align with presidential regulation No. 81 Year 2010 about bureaucratic reform and PERMENPAN&RB No. 20 year 2010 about bureaucratic reform roadmap declare that one bureaucratic reform objective are human capital development. This program is important to increase the public service. Three government ministries based on the UU No. 5 Year 2014 about Government Human Capital assigned to manage them. This research aims to develop the model of knowledge management for government human capital management. Research object implicate State Ministry for State Apparatus Reform (KEMENPAN & RB), National Civil Service Agencies (BKN) and National Institute of Public Administration (LAN). While the research stages are identify the strategic issue, develop the theoretical model, evaluate the theoretical model, identify the element model and knowledge and the last develop the model. Data analysis uses multiple methods in qualitative and quantitative technique. This model was developed using hybrid and synthesis method from the theoretical model of Indonesian knowledge management, knowledge management solution and foundation and the APO framework KMP. The model of government human capital knowledge management of Republic Indonesia (NUSANTARA) consist of eight component there are vision and mission, CSF, KM Mechanisms and Technologies, KMS, KM cycle, KM process, organizational core knowledge and outcome (government public services).
KW - Knowledge management solution
KW - foundation
KW - government human capital
KW - government human capital management
KW - knowledge management
KW - knowledge management model
UR - http://www.scopus.com/inward/record.url?scp=85041535439&partnerID=8YFLogxK
U2 - 10.1016/j.procs.2017.12.130
DO - 10.1016/j.procs.2017.12.130
M3 - Conference article
AN - SCOPUS:85041535439
SN - 1877-0509
VL - 124
SP - 61
EP - 68
JO - Procedia Computer Science
JF - Procedia Computer Science
Y2 - 6 November 2017 through 8 November 2017
ER -