Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Investigating Stakeholders Networks; Case Study on Cidanau Watershed in Indonesia

Version 1 : Received: 20 June 2023 / Approved: 22 June 2023 / Online: 22 June 2023 (11:10:05 CEST)
Version 2 : Received: 9 July 2023 / Approved: 10 July 2023 / Online: 11 July 2023 (08:25:51 CEST)

How to cite: Budiarto, M.S.; Widianingsih, I.; Muhtar, E.A.; Buchari, R.A.; Saksono, H.-. Investigating Stakeholders Networks; Case Study on Cidanau Watershed in Indonesia. Preprints 2023, 2023061598. https://doi.org/10.20944/preprints202306.1598.v1 Budiarto, M.S.; Widianingsih, I.; Muhtar, E.A.; Buchari, R.A.; Saksono, H.-. Investigating Stakeholders Networks; Case Study on Cidanau Watershed in Indonesia. Preprints 2023, 2023061598. https://doi.org/10.20944/preprints202306.1598.v1

Abstract

Social network analysis is extensively employed for the examination of relationships and networks among actors across diverse disciplines and thematic research domains. Nevertheless, the utilization of this approach in agriculture and natural resources, particularly pertaining to watershed management, has been relatively limited.. The objective of this study is to conduct an analysis of the social interaction and networks of Cidanau Watershed Management (CWM) stakeholders and measure the nodes of units as individuals or organizations to the role and influence of each other through a quantitative approach. The results of the data analysis show that Fkdc has a high degree of centrality and centrality betweenness. This shows that Fkdc has a strong influence and controls CWM network interaction. Conversely, Hs (households) have a low degree of centrality, and centrality betweenness values had a low influence and role in actors’ networks. According to the closeness centrality parameter, it is observed that both Households (Hs) and Universities (Univ) have exhibited the shortest geodesic distance in relation to other stakeholders within the network, thus indicating their highest level of closeness. It means that Hs (Households) and Univ (Universities) had interdependency and control by others. The closeness centrality of Fkdc is the lowest, means that Fkdc had independnecy of influence and high control access to others. There are 4 CWM network clusters based on total link strength. Fkdc demonstrates outstanding leadership qualities, enjoys a strong reputation, and possesses a high degree of popularity within the network. Furthermore, Fkdc serves as a central node that effectively brings together the interests of all actors, fostering a collective commitment towards shared goals and mutual rewards. In the CWM case, Fkdc is a sustainable watershed organization that acts as a central network body and plays a fundamental role as an intermediary of network and interaction. The process of sustainable watershed management entails the establishment of the Watershed organization as a central network entity, assuming a crucial role as a medium for the dissemination of information, exchange of ideas, and exertion of influence among its members. How does Fkdc manage the Cidanau watershed with its central role, and to what extent can Fkdc survive the ever-changing situations and problems (dynamics) in the management of the watershed, become an interesting research theme to be investigated further

Keywords

social network analysis; cidanau watershed management; fkdc; Banten province

Subject

Social Sciences, Decision Sciences

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