TY - JOUR
T1 - Knowledge Management Model for Smart Campus in Indonesia
AU - Hidayat, Deden Sumirat
AU - Sensuse, Dana Indra
N1 - Funding Information:
Funding: This research and the APC was funded by Direktorat Riset dan Pengabdian Masyarakat (DRPM) from the University of Indonesia for funding this research through the “Publikasi Terindeks Internasional (PUTI) Q2 Tahun Anggaran 2020 Nomor: NKB1479/UN2.RST/ HKP.05.00/2020” program.
Funding Information:
Acknowledgments: We would like to thank Direktorat Riset dan Pengabdian Masyarakat (DRPM) from the University of Indonesia for funding this research through the “Publikasi Terindeks Interna-sional (PUTI) Q2 Tahun Anggaran 2020 Nomor: NKB1479/UN2.RST/HKP.05.00/2020” program. The first authors are the main contributors to this paper.
Publisher Copyright:
© 2022 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2022/1
Y1 - 2022/1
N2 - The application of smart campuses (SC), especially at higher education institutions (HEI) in Indonesia, is very diverse, and does not yet have standards. As a result, SC practice is spread across various areas in an unstructured and uneven manner. KM is one of the critical components of SC. However, the use of KM to support SC is less clearly discussed. Most implementations and assumptions still consider the latest IT application as the SC component. As such, this study aims to identify the components of the KM model for SC. This study used a systematic literature review (SLR) technique with PRISMA procedures, an analytical hierarchy process, and expert interviews. SLR is used to identify the components of the conceptual model, and AHP is used for model priority component analysis. Interviews were used for validation and model development. The results show that KM, IoT, and big data have the highest trends. Governance, people, and smart education have the highest trends. IT is the highest priority component. The KM model for SC has five main layers grouped in phases of the system cycle. This cycle describes the organization’s intellectual ability to adapt in achieving SC indicators. The knowledge cycle at HEIs focuses on education, research, and community service.
AB - The application of smart campuses (SC), especially at higher education institutions (HEI) in Indonesia, is very diverse, and does not yet have standards. As a result, SC practice is spread across various areas in an unstructured and uneven manner. KM is one of the critical components of SC. However, the use of KM to support SC is less clearly discussed. Most implementations and assumptions still consider the latest IT application as the SC component. As such, this study aims to identify the components of the KM model for SC. This study used a systematic literature review (SLR) technique with PRISMA procedures, an analytical hierarchy process, and expert interviews. SLR is used to identify the components of the conceptual model, and AHP is used for model priority component analysis. Interviews were used for validation and model development. The results show that KM, IoT, and big data have the highest trends. Governance, people, and smart education have the highest trends. IT is the highest priority component. The KM model for SC has five main layers grouped in phases of the system cycle. This cycle describes the organization’s intellectual ability to adapt in achieving SC indicators. The knowledge cycle at HEIs focuses on education, research, and community service.
KW - Analytic hierarchy process (AHP)
KW - Higher education institution (HEI)
KW - Knowledge management
KW - Model
KW - Preferred reporting items for systematic reviews and meta-analyses (PRISMA)
KW - Smart campus
KW - Systematic literature review (SLR)
UR - http://www.scopus.com/inward/record.url?scp=85123757213&partnerID=8YFLogxK
U2 - 10.3390/data7010007
DO - 10.3390/data7010007
M3 - Article
AN - SCOPUS:85123757213
SN - 2306-5729
VL - 7
JO - Data
JF - Data
IS - 1
M1 - 7
ER -