Analisis Kolaborasi Hubungan Karyawan Menggunakan Metode Social Network Analysis (Studi Kasus Dinas Kearsipan dan Perpustakaan Kabupaten Boyolali)

Wreda Agung Kuncoro, Eko Sediyono, Kristoko Dwi Hartomo

Abstract


Good local government performance, especially related to the realization of good corporate governance, can be created if there is good communication between agencies, employees and compact collaboration to synergize policies that facilitate public services. To optimize government performance, one of which is the Boyolali District Archives and Library Service through collaborative relationships between employees so as to create intense two-way communication. This study aims to identify social networks related to collaboration between employees using the Social Network Analysis method and a total of 40 people as respondents, but only 32 people filled out the questionnaire data completely. The indicators used in viewing the research results are density values, degree centrality values, closeness centrality values, betweenness centrality values, and clique values. The results of the analysis obtained a network density level of 14.8% (considered weak because it is less than 50 percent). Employee number 21 has the highest degree centrality value and betweenness centrality value, then employee number 9 has the highest closeness centrality. This research concludes that there is a good collaborative relationship between the four departments in the Archives and Library Office of Boyolali Regency, namely the Operations department, the Service department, the Archives department, and the Librarian department.  


Keywords


Collaboration, Social Network Analysis, Boyolali

References


N. A. Siregar and Z. Ritonga, “The Analysis of Human Capital and Social Capital on Company Performance,” J. Online Jar. Pengaj. Seni Bina, vol. 14, pp. 139–143, 2019.

E. Nurfarida, K. Eliyen, and B. A. Nugroho, “Perancangan Aplikasi Sistem Pendukung Keputusan Kinerja Dosen Menggunakan Multy Attribute Utility Theory,” INOVTEK Polbeng - Seri Inform., vol. 5, no. 2, p. 274, 2020, doi: 10.35314/isi.v5i2.1579.

A. Iriani and S. H. Priyanto, “MODELING OF EMPLOYEE RELATIONSHIPS IN SME BATIK:rCASE STUDY OF WINDASARI BATIK,” Asian J. Manag. Sci. Educ., vol. 2, no. 4, pp. 22–35, 2013.

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.

D. Kurniawan, A. Iriani, and D. Manongga, “Pemanfaatan Social Network Analysis (SNA) Untuk Menganalisis Kolaborasi Karyawan Pada PT. Arum Mandiri Group,” J. Transform., vol. 17, no. 2, p. 149, 2020, doi: 10.26623/transformatika.v17i2.1646.

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. 02, pp. 121–132, 2019.

J. A. Ginting, D. Manongga, and I. Sembiring, “The spread path of hoax news in social media (facebook) using social network analysis (SNA),” 2018 Int. Semin. Res. Inf. Technol. Intell. Syst. ISRITI 2018, pp. 405–409, 2018, doi: 10.1109/ISRITI.2018.8864444.

N. A. Azmi, A. T. Fathani, D. P. Sadayi, and I. Fitriani, “Social Media Network Analysis ( SNA ) : Identifikasi Komunikasi dan Penyebaran Informasi Melalui Media Sosial Twitter,” J. Media Inform. Budidarma, vol. 5, no. 4, pp. 1422–1430, 2021, doi: 10.30865/mib.v5i4.3257.

Eriyanto, Analisis Jaringan Komunikasi, Edisi 1. Jakarta: Kencana, 2014.

H. Tuhuteru and A. Iriani, “Analisis Kolaborasi Penelitian Ilmiah Dosen Fakultas X dengan Social Network Analysis (SNA),” J. Tek. Inform. dan Sist. Inf., vol. 4, no. 1, 2018, doi: 10.28932/jutisi.v4i1.758.

D. Fernyawan, A. Mustofa, and H. Hidayat, “Analisis Hubungan antar Stakeholder pada Pengeringan Daerah Irigasi Serayu dalam Protes Petani di Kecamatan Kesugihan dengan Social Network Analysis Network Analysis between Stakeholders on The Drying of Serayu Irrigation Areas of Protest of Farmers in Ke,” J. Agric. Biosyst. Eng. Res., vol. 2, no. 1, pp. 34–44, 2021.

N. A. Rakhmawati, R. Alfarhizi, and I. Hafidz, “Penerapan Social Network Analysis dengan Menggunakan Metode Sociomatrix pada Akun Instagram Siswa SMA di Surabaya,” Sistemasi, vol. 9, no. 2, p. 333, 2020, doi: 10.32520/stmsi.v9i2.807.

N. Fitriani, I. Sembiring, and K. D. Hartomo, “Evaluasi Jaringan dan Interaksi Tim Sukses Pileg Tahun 2019 Melalui Social Network Analysis (SNA),” InfoTekJar J. Nas. Inform. dan Teknol. Jar., vol. 4, no. 2, pp. 355–362, 2020.

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.

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.




DOI: http://dx.doi.org/10.26623/transformatika.v20i2.6240

Refbacks

  • There are currently no refbacks.


| View My Stats |

Jurnal Transformatika : Journal Information Technology  by  Department of Information Technology, Faculty of Information Technology and Communication, Semarang University  is licensed under a  Creative Commons Attribution 4.0 International License.