The Use of Knowledge Management Systems to Improve Decision-Making in Local Government

Effective and data-driven decision-making has become an urgent need for local governments in facing the challenges of public service complexity, socio-economic dynamics, and demands for transparency and accountability. One of the strategic approaches to support this process is through the implementation of a Knowledge Management System (KMS). This research aims to explore the role and impact of KMS implementation on the improvement of decision-making quality in regional government organizations. A qualitative approach is used in this study with a case study method on several regional government agencies in Indonesia that have implemented KMS, combined with an analysis of related academic literature. Research results show that KMS is capable of improving the efficiency of storage, distribution, and access to organizational knowledge, both tacit and explicit. KMS supports faster, more accurate, and participatory decision-making because strategic information can be obtained and used promptly by policymakers. The findings also indicate that the success of KMS implementation is greatly influenced by organizational culture, leadership support, and the capacity of human resources in managing and sharing knowledge. This study recommends the comprehensive integration of KMS into the government work system, with an emphasis on training aspects, digital infrastructure, and internal policies that support the knowledge-sharing process. The theoretical and practical implications of these findings are an important contribution to the development of knowledge-based governance at the regional level.

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Publication Details

Journal
Journal of Computer Science Artificial Intelligence and Communications
Published
2025-07-13
DOI
https://doi.org/10.62712/jocsaic.v2i1.22
Primary Topic
Local Governance and Development
Type
article
Field-Weighted Citation Impact
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article

The Use of Knowledge Management Systems to Improve Decision-Making in Local Government

Yuyun Dwi Lestari, Rusmin Saragih, Yessi Fitri Annisah Lubis
Journal of Computer Science Artificial Intelligence and Communications
Local Governance and Development
article

The Use of Knowledge Management Systems to Improve Decision-Making in Local Government

Yuyun Dwi Lestari, Rusmin Saragih, Yessi Fitri Annisah Lubis
article en

Abstract

Effective and data-driven decision-making has become an urgent need for local governments in facing the challenges of public service complexity, socio-economic dynamics, and demands for transparency and accountability. One of the strategic approaches to support this process is through the implementation of a Knowledge Management System (KMS). This research aims to explore the role and impact of KMS implementation on the improvement of decision-making quality in regional government organizations. A qualitative approach is used in this study with a case study method on several regional government agencies in Indonesia that have implemented KMS, combined with an analysis of related academic literature. Research results show that KMS is capable of improving the efficiency of storage, distribution, and access to organizational knowledge, both tacit and explicit. KMS supports faster, more accurate, and participatory decision-making because strategic information can be obtained and used promptly by policymakers. The findings also indicate that the success of KMS implementation is greatly influenced by organizational culture, leadership support, and the capacity of human resources in managing and sharing knowledge. This study recommends the comprehensive integration of KMS into the government work system, with an emphasis on training aspects, digital infrastructure, and internal policies that support the knowledge-sharing process. The theoretical and practical implications of these findings are an important contribution to the development of knowledge-based governance at the regional level.

Journal of Computer Science Artificial Intelligence and CommunicationsVol. 2(1)
Pelita Harapan University (ID), Universitas Harapan Medan (ID)
Openalex Percentile: Top 79%
Local Governance and Development
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