Collaboration Analysis of Semarang City Dengue Hemorrhagic Fever Health Surveillance Officer with Social Network Analysis
This study aims to determine the pattern of a network collaboration between dengue hemorrhagic health surveillance personnel in the city of Semarang and to understand the flow of information deeply. The method of social network analysis / SNA (Social Network Analysis) on formal and informal communication networks between surveillance officers aims to produce sociometry and sociogram data so that the centrality of each actor in the network can be known. Interaction between Officers will be known through the analysis of the centrality of levels (degree), closeness (closeness), and intercession (betweenness). The approach used is descriptive quantitative. Data was collected using a research instrument in the form of a questionnaire, while the process of input and data analysis was carried out by looking at intact networks and ego networks carried out using UCINET. The results of the analysis show that officers dominate the centrality of the level and the intermediary with the position of Coordinator both City and District (Id. # 128, # 1, # 2, # 3). Collaboration based on working areas has a strong bond because 71% of the districts have a network density above 50%. While the value of closeness is dominated by surveillance members with id # 54, # 15, # 2, # 214, # 15 and # 10.
Dinas Kesehatan Kota Semarang, “Profil kesehatan kota semarang 2016,” 2016.
A. Iriani, “Using Social Network Analysis to Analyze Collaboration in Batik Smes,” J. Knowl. Manag. Econ. Inf. Technol., vol. III, no. 6, pp. 1–18, 2013.
B. E. Giri, A. Iriani, and Dany Manongga, “Using Social Networking Analysis ( SNA ) to Analyze Collaboration between Students ( Case Study : Students of Open University in Kupang ),” Int. J. Comput. Appl. (0975 – 8887), vol. 85, no. January, pp. 44–49, 2014.
D. Z. Grunspan, B. L. Wiggins, and S. M. Goodreau, “Understanding Classrooms through Social Network Analysis : A Primer for Social Network Analysis in Education Research,” CBE-Life Sci. Educ., vol. 13, pp. 167–178, 2014.
D. Setatama, Mahdi Shiddieqy;Tricahyono, “Implementasi Social Network Analysis dalam Penyebaran Country Branding ‘Wonderful Indonesia,’” Ind.Journal Comput., vol. 2, no. 2, pp. 91–104, 2017.
J. Kim and M. Hastak, “International Journal of Information Management Social network analysis : Characteristics of online social networks after a disaster,” Int. J. Inf. Manag. 38, vol. 38, no. June 2017, pp. 86–96, 2018.
J. Hauck, J. Schmidt, and A. Werner, “Using social network analysis to identify key stakeholders in agricultural biodiversity governance and related land-use decisions at regional and local,” Ecol. Soc., vol. 21, no. 2, 2016.
H. Tuhuteru and A. Iriani, “Analisis Kolaborasi Penelitian Ilmiah Dosen Fakultas X dengan Social Network Analysis ( SNA ),” J. Teh. Inform. dan Sist. Inf., vol. 4, no. April, pp. 149–158, 2018.
K. Q. Fisher, A. Sitomer, J. Bouwma-gearhart, and M. Koretsky, “Using social network analysis to develop relational expertise for an instructional change initiative,” Int. J. STEM Educ., vol. 6, no. 17, 2019.
R. C. Shelton et al., “Social Science & Medicine Use of social network analysis in the development , dissemination , implementation , and sustainability of health behavior interventions for adults : A systematic review,” Soc. Sci. Med., vol. 220, no. February 2018, pp. 81–101, 2019.
M. Wicki, “Explaining socially motivated travel with social network analysis : survey method and results from a study Switzerland Explaining socially motivated travel with in social network analysis : survey method and results from a study in Zurich ,” Transp. Res. Procedia, vol. 32, pp. 99–109, 2018.
E. Zusrony, H. D. Purnomo, S. Yulianto, and J. Prasetyo, “Analisis Pemetaan Jaringan Komunikasi Karyawan Menggunakan Social Network Analysis Pada Perusahaan Multifinance,” Intensif, vol. 3, no. 2, pp. 145–158, 2019.
W. Lu, S. Hoon, J. Gyuen, and G. Tae, “Network Connection Strategy for Small and Medium-sized Ports ( SMPs ),” Asian J. Shipp. Logist., vol. 34, no. 1, pp. 19–26, 2018.
K. Tani, G. Tani, A. Sulistiawati, D. P. Lubis, and S. Mulyani, “Analisis Jaringan Sosial Dalam Gabungan Kelompok Tani (GAPOKTAN) TANI BERKAH,” Sodality J. Sosiol. Pedesaan, vol. 02, no. 02, pp. 76–82, 2014.
R. Wölfer, N. S. Faber, and M. Hewstone, “Social Network Analysis in the Science of Groups : Cross-Sectional and Longitudinal Applications for Studying Intra- and Intergroup Behavior,” vol. 19, no. 1, pp. 45–61, 2015.
M. T. Anwar, A. Iriani, D. Herman, and F. Manongga, “Analisis Pola Persebaran Pornografi pada Media Sosial dengan Social Network Analysis,” J. Buana Inform., vol. 9, no. 1, pp. 43–52, 2018.
A. L. Leppin, J. M. Okamoto, P. W. Organick, and A. D. Thota, “Applying Social Network Analysis to Evaluate Implementation of a Multisector Population Health Collaborative That Uses a Bridging Hub Organization,” Front. Publich Heal., vol. 6, no. November, pp. 1–9, 2018.
S. Schlattmann, “Capturing the collaboration intensity of research institutions using social network analysis,” Procedia - Procedia Comput. Sci., vol. 106, no. June 2016, pp. 25–31, 2017.
K. L. Cela, M. Á. Sicilia, and S. Sánchez, “Social Network Analysis in E-Learning Environments : A Preliminary Systematic Review,” Educ Psychol Rev, vol. 27, pp. 219–246, 2015.
B. Priyopradono, D. Manongga, and W. H. Utomo, “Spatial Social Network Analysis : Program Pengembangan Usaha Agribisnis Perdesaan ( PUAP ) or an Exertion Development Program in Supporting the Region Revitalization Development,” Soc. Netw., vol. 2013, no. April, pp. 63–76, 2013.
A. Oktora, Rio. Alamsyah, “Pola Interaksi dan Aktor Yang Paling Berperan Pada Event JGTC 2013 Melalui Media Social Twitter (Studi Menggunakan Metode Social Network Analysis),” J. Manaj. Indones., vol. 14, no. 3, pp. 2011–209, 2014.
P. Rangachari, “Network analysis of the structure of inter- professional knowledge exchange related to Electronic Health Record Medication Reconciliation within a Social Knowledge Networking system,” J. Healthc. Leadersh., vol. 11, pp. 87–100, 2019.
A. Yaman, “Analisis Jaringan Sosial Pada artikel Terkait Usaha Kecil dan Menengah di Indonesia,” J. Dokumentasi dan Inf., vol. 2, no. 38, pp. 15–26, 2017.
C. R. L. Putri and B. dan Laksono, “Keefektifan Petugas Surveilans Kesehatan Demam Berdarah Dengue Dalam Menentukan Angka Bebas Jentik,” Unnes J. Public Heal., vol. 6, no. 1, 2017.
T. L. Pangestika, K. Cahyo, B. Tirto, and P. Nugraha, “Faktor-Faktor yang Mempengaruhi Perilaku Jumantik dalam Sistem Kewaspadaan Dini Demam Berdarah Dengue di Kelurahan Sendangmulyo,” J. Kesehat. Masy., vol. 5, no. 5, pp. 1113–1122, 2017.
B. B. Salsabila, Nurina & Raharjo, “Kinerja Petugas Surveilans Kesehatan Dalam Upaya Penanggulangan Demam Berdarah Dengue,” HIGEIA J. PUBLIC Heal. Res. Dev., vol. 2, no. 1, pp. 23–32, 2018.
D. Yesi Monika Manik, Heri Sutanta, “Menggunakan Metode Social Network Analysis ( Analyzing Stakeholders and Their Roles in Geospatial Information Utilization in local Government using Social Network Analysis Method),” ResearchGate, no. February, 2018.
Eriyanto, ANALISIS JARINGAN KOMUNIKASI : Strategi Baru Dalam Penelitian Ilmu Komunikasi dan Ilmu Sosial Lainnya. Jakarta: Kencana Prenada Media Group, 2014.
Copyright (c) 2020 INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
1. Copyright on any article is retained by the author(s).
2. The author grants the journal, right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work’s authorship and initial publication in this journal.
3. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal’s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
4. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
5. The article and any associated published material is distributed under the Creative Commons Attribution-ShareAlike 4.0 International License