Utilization of Social Network Analysis (SNA) in Knowledge Sharing in College
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Abstract
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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B. E. Giri, D. Manongga, and A. Iriani, “Using Social Networking Analysis (SNA) to Analyze Collaboration between Students (Case Study: Students of Open University in Kupang),” Int. J. Comput. Appl., vol. 85, no. No. 1, pp. 44–49, 2014.
D. R. Anggraeni and H. Aulawi, “Pengaruh Knowledge Sharing Pada Organisasi Kemahasiswaan Dalam Meningkatkan Kemampuan Menyerap Pengetahuan Mahasiswa,” J. Kalibr., vol. 16, no. 1, pp. 6–12, 2018.
Y. L. Bavik, P. M. Tang, R. Shao, and L. W. Lam, “Ethical leadership and employee knowledge sharing: Exploring dual-mediation paths,” Leadersh. Q., vol. 29, no. 2, pp. 322–332, 2018.
S. A. Salloum, M. Al-Emran, and K. Shaalan, “The impact of knowledge sharing on information systems: A review,” in Communications in Computer and Information Science, 2018, vol. 877, pp. 94–106.
R. S. Andra and H. N. Utami, “Pengaruh Knowledge Sharing Terhadap Kinerja Kaeryawan ( Studi pada Karyawan PT Bank Rakyat Indonesia Kantor Cabang Malang Kawi ),” J. Adm. Bisnis, vol. 61, no. 2, pp. 30–37, 2018.
J. V. Manopo, “Peran Komunikasi Organisasi Dalam Membentuk Efektivitas Kerja Karyawan CV Magnum Sign and Print Advertising Samarinda,” eJournal lmu Komun., vol. 2, no. 3, pp. 357–372, 2014.
A. P. Wardhani, H. Leonardo Budi, and M. Maria Magdalena, “Pengaruh Lingkungan Kerja, Komunikasi dan Kepemimpinan Terhadap Kinerja Pegawai,” J. Manage., vol. 2, no. 1, pp. 344–354, 2016.
M. Pengestu, “Jaringan Komunikasi di The Piano Institute Surabaya,” E- Komunikasi, Univ. Kristen Petra Surabaya, vol. 3, pp. 1–12, 2015.
Y. Wu and Z. Duan, “Social network analysis of international scientific collaboration on psychiatry research,” Int. J. Ment. Health Syst., vol. 9, no. 1, 2015.
A. Syarifudin et al., “PEMETAAN REKANAN PADA JARINGAN SISTEM PENGADAAN SECARA ELEKTRONIK ( SPSE ) DENGAN SOCIAL NETWORK ANALYSIS ( SNA ),” in Seminar Nasional Informatika 2018, 2018, pp. 43–50.
H. Tuhuteru and A. Iriani, “Analisis Kolaborasi Penelitian Ilmiah Dosen Fakultas X dengan Social Network Analysis (SNA) Jurnal Teknik Informatika dan Sistem Informasi,” J. Tek. Inform. dan Sist. Inf., vol. 4, no. No. 1, pp. 149–158, 2017.
E. Zusrony, H. D. Purnomo, S. Yulianto, and J. Prasetyo, “Analisis Pemetaan Jaringan Komunikasi Karyawan Menggunakan Social Network Analysis Pada Perusahaan Multifinance,” INTENSIF J. Ilm. Penelit. dan Penerapan Teknol. Sist. Inf., vol. 3, no. 2, pp. 145–158, 2019.
I. Etikan, “Comparision of Snowball Sampling and Sequential Sampling Technique,” Biometrics Biostat. Int. J., vol. 3, no. 1, 2017.
Eriyanto, Analisis Jaringan Komunikasi, Edisi 1. Jakarta: Kencana, 2014.
A. Latupeirissa, E. Sediyono, and A. Iriani, “Pemanfaatan Social Network Analysis Untuk Menganalisis Kolaborasi Komunikasi Pada Balai Perikanan Budidaya Laut Ambon,” J. Sist. Inf. Bisnis, vol. 2, pp. 121–132, 2019.
A. Iriani and S. H. Priyanto, “Modeling Of Employee Relationships In Sme Batik: Case Study Of Windasari Batik,” Asian J. Manag. Sci. Educ., vol. 2, no. 4, pp. 22–35, 2013.
T. W. Valente, Social Networks and Health: Models, Methods, and Applications. 2010.
C. Prell, “Becoming Familiar with Social Networks,” in Social Network Analysis: History, Theory, and Methodology, 2012, pp. 7–18.
M. T. Anwar, A. Iriani, and D. H. F. Manongga, “Analisis Pola Persebaran Pornografi pada Media Sosial dengan Social Network Analysis,” Buana Inform., vol. 9, no. 1, pp. 43–52, 2018.
S. P. Borgatti, M. G. Everett, and J. C. Johnson, “10 Centrality BT - Analyzing Social Networks,” in Analyzing Social Networks, 2013, p. 304.
S. P. Borgatti, M. G. Everett, and J. C. Johnson, Analyzing Social Networks, 2nd Editio. London: SAGE Publication Ltd, 2018.
F. N. Maulidya, W. Witanti, and A. I. Hadiana, “Pembangunan Sistem Informasi Pola Hubungan Kerja Antar Tenaga Medis Pada Rumah Sakit Jiwa Provinsi XYZ Menggunakan Social Network Analysis,” in Prosiding Seminar Nasional Sains dan Teknologi ke-9, 2018, pp. 214–219.
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