skip to main content

Pemanfaatan Social Network Analysis Untuk Menganalisis Kolaborasi Komunikasi Pada Balai Perikanan Budidaya Laut Ambon

*Ariyanto Latupeirissa  -  Universitas Kristen Satya Wacana, Indonesia
Eko Sediyono  -  Universitas Kristen Satya Wacana, Indonesia
Ade Iriani  -  Universitas Kristen Satya Wacana, Indonesia
Open Access Copyright (c) 2019 JSINBIS (Jurnal Sistem Informasi Bisnis)

Citation Format:
Abstract
Marine aquaculture center-Ambon (Balai Perikanan Budidaya Laut/BPBL-Ambon) is a technical implementing unit under supervision of Directorate General of Aquaculture, Ministry of Maritime Affairs and Fisheries, Republic of Indonesia. Based on report of government’s internal control system (Sistem Pengendalian Intern Pemerintah/SPIP) specifically at the third quarter, some crucial organizational disadvantages have been identified in BPBL-Ambon, particularly related to the communication and coordination between divisions and technical staffs. To deal with this problem, there is a need to analyze and map the roles of interactions between employees in social networks. This study aims to analyze the patterns of interaction between staffs in the social networks. In this work, social network analysis (SNA) was used, which is based on formal and informal interactions on BPBL-Ambon, enabling to identify the key actors potentially able to act as alternative actors for information access to facilitate communication. The collection of individual data, as well as formal and informal interactions, was carried out using questionnaire and interview, involving entire population (saturation sampling). The collected data were then filetered and tabulated symmetric matrix, as preliminary steps for analysis following exported. SNA approach focuses on determining degree centrality, closeness centrality, and betweenness centrality. As a result, our experimental data suggested that most divisions alreadyshowed an appreciable collaboration in terms of communication; however, the remaining divisions showed 0 value in terms of their relationship with other divisions. Based on these findings, we could solve the problem through acting the alternative actors having the highest indegree value apart from stakeholders from a division capable of acting as alternative sources of information. The involvement of alternative actors could be a meaningful attempt in order to solve communication and coordination problems present in BPBL-Ambon

Note: This article has supplementary file(s).

Fulltext View|Download |  common.other
COPYRIGHT TRANSFER AGREEMENT
Subject
Type Other
  Download (814KB)    Indexing metadata
Keywords: Social Network Analysis, Collaboration, Alternatif Aktor

Article Metrics:

  1. Balai Perikanan Budidaya Laut Ambon, 2017. Rencana Strategis Perubahan Balai Perikanan Budidaya Laut Ambon Tahun 2017-2019. [Online]. Website: http://bpblambon-kkp.org/wp-content/uploads/2017/05/Rencana-Strategis-Perubahan-BPBLA-2017-2019.pdf, Diakses tanggal 5october 2018
  2. Balai Perikanan Budidaya Laut Ambon, 2017. Laporan Sistem Pengendalian Intern Pemerintah (SPIP) Triwulan III. [Online]. Website : http://bpblambon-kkp.org/wp-content/uploads/2017/11/Laporan-SPIP-TW-3-2017.pdf. Diakses tanggal 5 october 2018
  3. Borgatti, S.P., Everett, M.G. and Freeman, L.C., 2002. UCINET 6 for Windows: Software for social network analysis (Version 6.102), Harvard, MA: Analytic Tecnologies. 10 – 47
  4. Borgatti, S.P., 2002. NetDraw Software for Network Visualization. Analytic Technologies: Lexington, KY
  5. Eriyanto, 2014. Analisis Jaringan Komunikasi : Strategi Baru Dalam Penelitian Ilmu Komunikasi Dan Ilmu Sosial Lainnya. Kencana Prendada Media Group. Jakarta
  6. Iriani, A., 2013. Using social network analysis to analyze collaboration in batik smes, Journal of Knowledge Management, Economics and Information Technology., vol. 3, no. 6, 2–18
  7. Muhamad, R., Bungin, B., 2015. Audit Komunikasi Pendekatan dan Metode Asesmen Sistem Informasi Komunikasi Dalam Organisasi, Prenada Media Group, Jakarta. 82-85
  8. Muhammad, A., 1995. Komunikasi Organisasi, Bumi Aksara, Jakarta, 67-102
  9. O’Malley, A.J., Marsden, P.V., 2008. The analysis of social networks, Health Serv Outcomes Res Method, Springer, 222–269
  10. Pengestu, M., 2015. Jaringan Komunikasi di The Piano Institute Surabaya, E- Komunikasi vol. 3, Univ. Kristen Petra Surabaya, 1–12
  11. Salamati, P., Soheili, F., 2016. Social network analysis of Iranian researchers in the field of violence. Chinese Jurnal of Traumatology. vol. 19, ScienceDirect, 264–270
  12. Soemirat, S., Ardianto, E., Suminar, Y.R., 2016. Komunikasi organisasional In: Dasar-dasar Komunikasi Organisasional: Pengertian, Ruang Lingkup, dan Peranan Komunikasi. Universitas Terbuka, Jakarta, 1-6
  13. Tsvetovat, M., Kouznetsov, A., 2011. Social Network Analysis for Startups. O’reilly Media. California, United States of America. 10-185
  14. Tuhuteru, H., Iriani, A., 2018. Analisis Kolaborasi Penelitian Ilmiah Dosen Fakultas X dengan Social Network Analysis,Jurnal Teknik Informatika dan Sistem Informasi, Vol 4. Bandung. 149-158
  15. Wu, Y., Duan, Z., 2015. Social network analysis of international scientific collaboration on psychiatry research. International Journal of mental health system, Vol 9. Article Number 2. 1-10

Last update:

  1. Utilization of Social Network Analysis (SNA) in Knowledge Sharing in College

    Nurrokhman Nurrokhman, Hindriyanto Dwi Purnomo, Kristoko Dwi Hartomo. INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi, 4 (2), 2020. doi: 10.29407/intensif.v4i2.14460

Last update: 2024-04-17 01:24:26

No citation recorded.