Analisis Networked Governance dalam Kebijakan P4GN di Kota Cilegon Tahun 2020

Thoriq Aziz; M Dian Hikmawan

doi:10.37950/ijd.v5i3.443

Authors

Thoriq Aziz Program Studi Ilmu Pemerintahan, Fakultas Ilmu Sosial dan Ilmu Politik Universitas Sultan Ageng Tirtayasa
M Dian Hikmawan Program Studi Ilmu Pemerintahan, Fakultas Ilmu Sosial dan Ilmu Politik Universitas Sultan Ageng Tirtayasa

DOI:

https://doi.org/10.37950/ijd.v5i3.443

Keywords:

network governance, social network analysis, P4GN

Abstract

Abstract

This study aims to describe the structure of the P4GN policy implementation network, coordination within the policy implementation network, and identify influential actors in the program. To study this theme, researchers uses 2 theories, namely network governance theory and social network analysis theory. The method used is a qualitative method with a descriptive approach. Data collection techniques using in-depth interviews, observation, and documentation. Data analysis techniques use data reduction, data presentation, drawing conclusions and verification. The results of this study describe the structure of the P4GN network implementation policy which includes government, private, and community actors. The pattern of interaction between actors is seen through the frequency of contact which includes the actor's contribution, namely providing resources such as information-financial-skills, high intensity and utility obtained by the community in implementing programs such as life skills training and anti-drug counseling. The second dimension is trust between actors which is still low so that program implementation is sectoral or internal. The quality of information sharing is quite high. Exchange of resources in the P4GN policy is still limited. Coordination in the implementation of P4GN policies in the city of Cilegon uses a joint adjustment coordination mechanism.

Keywords: network governance, social network analysis, P4GN

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Abstrak

Penelitian ini bertujuan untuk mendeskripsikan struktur dalam jaringan implementasi kebijakan P4GN, koordinasi dalam jaringan implementasi kebijakan, serta mengetahui aktor berpengaruh dalam program tersebut. Dalam pengkajian tema ini, peneliti menggunakan 2 teori yaitu teori network governance serta teori social network analysis. Metode yang digunakan yaitu metode kualitatif dengan pendekatan deskriptif. Teknik pengumpulan data menggunakan wawancara mendalam, observasi, serta dokumentasi. Teknis analisis data menggunakan reduksi data, penyajian data pengambilan kesimpulan dan verifikasi. Hasil penelitian ini mendeskripsikan struktur dalam jaringan implementasi kebijakan P4GN yang meliputi aktor pemerintah, swasta, serta masyarakat. pola interaksi antar aktor dilihat melalui frekuensi kontak yang meliputi kontribusi aktor yaitu menyediakan sumberdaya seperti finansial-skill-informasi, durasi intensitas yang tinggi serta utilitas yang didapat oleh masyarakat dalam pelaksanaan program seperti pelatihan life skill dan penyuluhan anti narkoba. Dimensi kedua yaitu kepercayaan antar aktor yang masih rendah sehingga pelaksanaan program bersifat sektoral atau internal. Kualitas berbagi informasi yang cukup tinggi. Pertukaran sumberdaya dalam kebijakan P4GN masih terbatas. Koordinasi dalam implementasi kebijakan P4GN di kota Cilegon menggunakan mekanisme koordinasi mutual adjustment.

Kata kunci: tata kelola jaringan, analisis jaringan sosial, P4GN.

References

BAPPEDA. (2020). LKPJ Cilegon tahun 2020. https://www.cilegon.go.id/assets/img/dokumen/LKPJ Kota Cilegon 2020.pdf

Bastian, Mathieu & Heymann, Sebastien & Jacomy, Mathieu. (2009). Gephi: An Open Source Software for Exploring and Manipulating Networks. 10.13140/2.1.1341.1520.

BNN. (2010). Buku P4GN Bidang Pemberdayaan Masyarakat. Jakarta: Perpustakaan BNN.

Claridge, T. (2018). Dimensions Of Social Capital - Structural, Cognitive, And Relational. Social Capital Research.

Creswell, J.W. & Creswell, J.D. (2018). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches 5th Ed. Sage Publication.

Freeman, L.C. (1978). Centrality In Social Networks Conceptual Clarification. Social Networks, Vol 1 Issue 3.

H., Edelenbos, J., & Steijn, B. (2010). Trust In Governance Networks: Its Impacts On Outcomes. Administration and Society, 42(2), 193â€“221. https://doi.org/10.1177/0095399710362716

Huberman, A. M., & Miles, M. B. (Eds.) (2002). The qualitative researcher's companion. SAGE Publications, Inc.

Klijn, E. H., & Koppenjan, J. (2012). Governance Network Theory: Past, Present And Future. Policy and politics, 40(4), 587â€“606. https://doi.org/10.1332/030557312X655431

Klijn, E. H., & Koppenjan, J. (2015). Governance Networks In The Public Sector. In Governance Networks in the Public Sector (1 ed.). Routledge. https://doi.org/10.4324/9781315887098

Mohr, J. and Spekman, R. (1994) Characteristics of Partnership Success: Partnership Attributes, Communication Behavior, and Conflict Resolution Techniques. Strategic Management Journal, 15, 135-152.

http://dx.doi.org/10.1002/smj.4250150205

Oâ€™Toole, A. J., Jiang, F., Abdi, H., Penard, N., Dunlop, J. P. & Parent, M. A. (2007). Theoretical, statistical, and practical perspectives on pattern-based classification approaches to functional neuroimaging analysis. Journal of Cognitive Neuroscience, 19, 1735-1752

Puslitdatin BNN. (2021). Model kemitraan sinergis rencana aksi p4gn berbasis pemberdayaan masyarakat. Pusat Penelitian, Data, dan Informasi Badan Narkotika Nasional Republik Indonesia. https://ppid.bnn.go.id/konten/unggahan/2020/10/BUKU-MODEL-KEMITRAAN-SINERGIS-RENCANA-AKSI-P4GN-BERBASIS-PEMBERDAYAAN-MASYARAKAT.pdf

Riswanda. (2021). Mendaratkan Strategi Darurat Narkoba. Banten Raya.

Setatama, M. S., & Tricahyono, Ir., M.M., Ph.D., D. (2017). Implementasi Social Network Analysis pada Penyebaran Country Branding â€œWonderful Indonesia.â€ Indonesian Journal on Computing (Indo-JC), 2(2), 91. https://doi.org/10.21108/indojc.2017.2.2.183

Undang-Undang nomor 35 tahun 2009 tentang narkotika, Pub. L. No. 23. https://peraturan.bpk.go.id/Home/Details/38776/uu-no-35-tahun-2009