Utilization of Social Network Analysis (SNA) in Knowledge Sharing in College
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi
View Publication Info| Field | Value | |
| Title |
Utilization of Social Network Analysis (SNA) in Knowledge Sharing in College
Utilization of Social Network Analysis (SNA) in Knowledge Sharing in College |
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| Creator |
Nurrokhman, Nurrokhman
Dwi Purnomo, Hindriyanto Dwi Hartomo, Kristoko |
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| Subject |
Knowledge Sharing
College Social Network Analysis Knowledge Sharing College Social Network Analysis |
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| Description |
Campus competition in Central Java creates superior and empowered human resources to make XYZ campus optimize the Knowledge Sharing process. In optimizing the Knowledge Sharing process on the XYZ campus through interaction and communication between students in the study program. This study aims to identify the Knowledge Sharing collaboration of students on the XYZ campus in three study programs with 100 respondents using the Social Network Analysis (SNA) method. The parameters used in this study include density, degree centrality, closeness centrality, betweenness centrality, and clicks (subgroups). Based on the analysis of the results obtained by the level of density level of 4.7% or weak ties because under 50%. Actor 98 has the highest degree of centrality with outdegree value 32 and indegree 7, while actor 65, which has the highest closeness centrality with inCloseness value 16,952 and outCloseness value 1,020. Actor 15 also has the highest centrality betweenness with an amount of Betweenness 2750,148 and nBetweenness 28,346. In this study, it can be concluded that there is collaboration in the Knowledge Sharing of students on the XYZ campus from each divided into three study programs, namely, informatics engineering, accounting computerization, and graphic design.
Campus competition in Central Java creates superior and empowered human resources to make XYZ campus optimize the Knowledge Sharing process. In optimizing the Knowledge Sharing process on the XYZ campus through interaction and communication between students in the study program. This study aims to identify the Knowledge Sharing collaboration of students on the XYZ campus in three study programs with 100 respondents using the Social Network Analysis (SNA) method. The parameters used in this study include density, degree centrality, closeness centrality, betweenness centrality, and clicks (subgroups). Based on the analysis of the results obtained by the level of density level of 4.7% or weak ties because under 50%. Actor 98 has the highest degree of centrality with outdegree value 32 and indegree 7, while actor 65, which has the highest closeness centrality with inCloseness value 16,952 and outCloseness value 1,020. Actor 15 also has the highest centrality betweenness with an amount of Betweenness 2750,148 and nBetweenness 28,346. In this study, it can be concluded that there is collaboration in the Knowledge Sharing of students on the XYZ campus from each divided into three study programs, namely, informatics engineering, accounting computerization, and graphic design. |
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| Publisher |
Universitas Nusantara PGRI Kediri
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| Date |
2020-08-19
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| Type |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion |
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| Format |
application/pdf
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| Identifier |
https://ojs.unpkediri.ac.id/index.php/intensif/article/view/14460
10.29407/intensif.v4i2.14460 |
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| Source |
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi; Vol. 4 No. 2 (2020): August 2020; 259-271
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi; Vol 4 No 2 (2020): August 2020; 259-271 2549-6824 2580-409X |
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| Language |
eng
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| Relation |
https://ojs.unpkediri.ac.id/index.php/intensif/article/view/14460/1677
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| Rights |
Copyright (c) 2020 INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi
https://creativecommons.org/licenses/by-sa/4.0 |
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