Garuda - Garba Rujukan Digital

Tren Pengumpulan Pengetahuan dan Faktor Keberhasilannya: Tinjauan Pustaka Sistematik Ramadhan, Yudistira; Pratiwi, Maharani Eka; Sensuse, Dana Indra; Lusa, Sofian; Safitri, Nadya; Elisabeth, Damayanti
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 6 No 2 (2024): April 2024
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v6i2.1314

Knowledge management (KM) is a systematic approach that facilitates the development, dissemination, and creation of value from information and knowledge within an organization. Knowledge management is deemed the most valuable asset for many organizations. However, the implementation of a knowledge capturing model is still a challenging task. In this research, a Systematic Literature Review (SLR) methodology is employed to identify and analyze diverse approaches to capturing and utilizing knowledge in various organizational domains. The search process is executed across five databases, namely, Scopus, Science Direct, Emerald Insight, Taylor & Francis Online, and IEEE. The study findings reveal a total of 24 knowledge capture methods employed across diverse organizational contexts and knowledge types. Among these methods, the questionnaire was mentioned in 4 articles, an interview in 2 articles, and an expert interview in two articles. The success factors were classified into 20 types, including common knowledge, organizational capabilities, quality of knowledge, trust and acceptance, leadership capabilities, feedback and learning, performance measurement, reward and recognition, efficiency, knowledge management integration, organizational culture, knowledge managers tools and techniques, effectiveness, motivation, information technology, and knowledge management process, training, knowledge representation, and collaboration. Additionally, the identified trending methods and eight key success factors that influence implementation of various knowledge capture models add a new understanding of the critical elements for success in knowledge capture initiatives. This review, in accordance with PRISMA guidelines, provides a foundation for future research efforts in knowledge acquisition and systematic literature review.

Knowledge Capture in Agile Organizations: Methods and Strategies for Enhancing Effective and Efficient Process Pratiwi, Maharani Eka; Ramadhan, Yudistira; Sensuse, Dana Indra; Lusa, Sofian; Safitri, Nadya; Elisabeth, Damayanti
International Journal of Artificial Intelligence Research Vol 8, No 1 (2024): June 2024
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i1.1164

The competitive landscape of modern organizations relies on efficient knowledge utilization and management, underscoring the crucial role of knowledge capture in effective Knowledge Management (KM). This study explores the relationship between knowledge capture, organizational agility, and employee proficiency within KM, pinpointing critical gaps in understanding the optimal utilization of knowledge capture methods within agile-based setups. By addressing these gaps, the study aims to identify effective knowledge capture methods and propose strategies for their seamless integration into agile organizations. The research investigates five hypotheses, affirming the positive impacts of expert interviews, focus groups, interviews, surveys, and questionnaires on the efficiency and effectiveness of knowledge capture processes in agile contexts. Utilizing a mixed-method approach, this study evaluates qualitative and quantitative data derived from interviews and questionnaires. The results highlight the importance of various knowledge capture methods in augmenting the efficiency and efficacy of the knowledge capture process. Additionally, the study outlines implementation strategies customized for each method's application within agile-based organizations. The objective of this research is to provide practical solutions that narrow the disparity between the potential of knowledge capture and the particular needs of agile setups.

IMPACT OF ORGANIZATIONAL CULTURE ON KNOWLEDGE SHARING IN INDONESIAN SOFTWARE DEVELOPMENT COMMUNITY Indra, Muhammad Nadhirsyah; Anditama, Muhammad Rizky; Sensuse, Dana Indra; Lusa, Sofian; Safitri, Nadya; Elisabeth, Damayanti
Jurnal Teknoinfo Vol 19, No 1 (2025): January 2025
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v19i1.4376

In the dynamic landscape of software development, effective knowledge sharing is vital for fostering collaboration and innovation among development teams. This study examines the intricate dynamics influencing knowledge sharing among software developers within organizational contexts, focusing on the pivotal factors of organizational culture. Key factors such as communication, trust, leadership, reward systems, and organizational structure are investigated to comprehend their impact on knowledge-sharing behavior. The research model posits hypotheses exploring positive relationships between trust, communication, leadership, organizational structure, reward systems, and knowledge sharing. Data was collected through online surveys completed by 62 software developers in Indonesia, and SmartPLS 3 was used for the analysis. Measurement models were employed to evaluate internal consistency reliability, convergent validity, and discriminant validity, while structural models assessed the explanatory potential. Results indicate that the explanatory power of the model is weak, suggesting a need for further exploration. Leadership and reward systems were found to have a positive influence on knowledge sharing, although the impact of organizational structure remains inconclusive. The study emphasizes the critical roles of reward structures and leadership in encouraging knowledge sharing and presents practical implications for companies aiming to enhance their knowledge management practices. These findings highlight the necessity for organizations to foster leadership and implement effective reward systems to promote a culture of knowledge sharing. Furthermore, the study suggests improvements in assessment techniques and calls for a reevaluation of the connection between organizational structure and knowledge sharing. This research contributes to the understanding of how organizational culture impacts knowledge sharing within the software development community in Indonesia, providing valuable insights for both academic researchers and industry practitioners.

Mengeksplorasi Faktor-Faktor Penentu Berbagi Pengetahuan di Sektor Publik: Tinjaun Sistematis-PRISMA Rizky, Fajar; Altino, Iqbal Caraka; Sensuse, Dana Indra; Lusa, Sofian; Safitri, Nadya; Elisabeth, Damayanti
The Indonesian Journal of Computer Science Vol. 14 No. 3 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i3.4864

Knowledge sharing (KS) plays is essential for improving organizational performance and innovation, enabling faster problem-solving and collaboration. However, in the public sector, participation in KS remains low, hindering organizational learning and development. As Indonesia adopts knowledge management systems in its public sector, challenges emerge in fostering knowledge-sharing behaviors. This study uses the systematic review method, following PRISMA 2020 guidelines, to identify key factors influencing knowledge-sharing intention (KSI) and propose solutions. Through a rigorous selection process, 20 relevant studies were analyzed, categorizing factors into individual, organizational, and technological groups. The results indicate that attitudes, perceived behavioral control, subjective norms, reward systems, and the perceived usefulness of technology have a significant impact on KSI. This study offers a comprehensive reference for future research on KS in the public sector and provides insights for policymakers to design initiatives that enhance organizational learning.

Unveiling the Determinants of Knowledge Sharing and Their Impact on Service Innovation Performance in the Government Sector Rizky, Fajar; Altino, Iqbal Caraka; Sensuse, Dana Indra; Lusa, Sofian; Safitri, Nadya; Elisabeth, Damayanti
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 3 (September 2025): Accepted
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i3.1204

Knowledge sharing serves as a fundamental driver of organizational innovation, particularly in enhancing public service quality, yet remains significantly underutilized in government institutions. Many public sector organizations fail to recognize the value of knowledge sharing due to its perceived long-term benefits and the absence of concrete evidence demonstrating its measurable impact on service innovation performance. This study examines the driving factors of knowledge sharing and its impact on service innovation performance in government organizations. Data was collected through an online survey targeted at National Civil Service Agency (Badan Kepegawaian Negara or BKN) employees. A total of 465 responses were obtained, which analysed using partial least squares structural equation modeling (PLS-SEM). This study demonstrates that organizational, individual, and technological factors play a significant role in the implementation of knowledge sharing. Most importantly, the research provides empirical validation that knowledge sharing behavior directly and substantially enhance service innovation performance - a relationship previously overlooked in public sector studies. By expanding the theoretical framework of Planned Behavior to incorporate these organizational, individual, and technological dimensions, this study offers public administrators compelling evidence to prioritize knowledge sharing initiatives while providing scholars with a more holistic understanding of innovation mechanisms in government contexts. Future studies should explore additional factors beyond the Theory of Planned Behavior that influence knowledge sharing, as well as other knowledge management dimensions affecting service innovation. Further research could also investigate impacts of knowledge sharing beyond innovation performance, such as organizational resilience or employee well-being in public sector contexts.

Unveiling the Determinants of Knowledge Sharing and Their Impact on Service Innovation Performance in the Government Sector Rizky, Fajar; Altino, Iqbal Caraka; Sensuse, Dana Indra; Lusa, Sofian; Safitri, Nadya; Elisabeth, Damayanti
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 3 (September 2025): Accepted
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i3.1204

Knowledge sharing serves as a fundamental driver of organizational innovation, particularly in enhancing public service quality, yet remains significantly underutilized in government institutions. Many public sector organizations fail to recognize the value of knowledge sharing due to its perceived long-term benefits and the absence of concrete evidence demonstrating its measurable impact on service innovation performance. This study examines the driving factors of knowledge sharing and its impact on service innovation performance in government organizations. Data was collected through an online survey targeted at National Civil Service Agency (Badan Kepegawaian Negara or BKN) employees. A total of 465 responses were obtained, which analysed using partial least squares structural equation modeling (PLS-SEM). This study demonstrates that organizational, individual, and technological factors play a significant role in the implementation of knowledge sharing. Most importantly, the research provides empirical validation that knowledge sharing behavior directly and substantially enhance service innovation performance - a relationship previously overlooked in public sector studies. By expanding the theoretical framework of Planned Behavior to incorporate these organizational, individual, and technological dimensions, this study offers public administrators compelling evidence to prioritize knowledge sharing initiatives while providing scholars with a more holistic understanding of innovation mechanisms in government contexts. Future studies should explore additional factors beyond the Theory of Planned Behavior that influence knowledge sharing, as well as other knowledge management dimensions affecting service innovation. Further research could also investigate impacts of knowledge sharing beyond innovation performance, such as organizational resilience or employee well-being in public sector contexts.

Sentiment Analysis and Topic Modeling for Discovering Knowledge in Indonesian Mobile Government Applications Hamid, Ricky Bahari; Andriansyah, Chandra; Sensuse, Dana Indra; Lusa, Sofian; Elisabeth, Damayanti; Safitri, Nadya
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 5 (2025): JUTIF Volume 6, Number 5, Oktober 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.6.4991

The accelerated rate of government applications development in Indonesia has introduced new opportunities and challenges in delivering digital public services. While thousands of apps have been developed, systemic issues ranging from usability flaws to authentication failures persist, as reflected in user reviews on platforms like the Google Play Store. This study adopts a knowledge discovery approach to extract actionable insights from more than 17,000 user-generated reviews across three major government applications: Satusehat, Digital Korlantas, and M-Paspor. A hybrid methodology is applied, combining RoBERTa-based sentiment classification, BERTopic-based topic modeling, cosine similarity analysis, and qualitative user validation. The findings reveal recurring issues in authentication, interface design, and system responsiveness that span across organizational boundaries. Cross-app topic correlation highlights critical shared pain points such as login failures and unintuitive UI that undermine user trust in e-government services. Mapping these insights onto the SECI knowledge management model, this research contributes both practical recommendations and a replicable analytical framework for public agencies seeking to institutionalize user feedback. By transforming fragmented digital feedback into organizational knowledge, this study supports continuous service improvement and strengthens the foundation for user-centric e-government.

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