Initiating Consensus Building to Utilize Urban Open Space for Urban Agriculture: A Case Study of Pekanbaru City, Indonesia

Leksono, Ronny Bowo; Kombaitan, Benedictus; Putro, Heru Purboyo Hidayat; Sutriadi, Ridwan

doi:10.18848/2325-162x/cgp/v14i04/1-21

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“…The acronym SWOT represents the four key elements being considered: strengths (S), weaknesses (W), opportunities (O), and threats (T). To develop the matrix of strengths, weaknesses, opportunities, and threats, it is necessary to carry out the following subsequent procedures [26,27]:…”

Section: Methods Of Data Analysismentioning

confidence: 99%

Urban green space development plans and strategies in Sorong city Southwest Papua Province

Arnold Idie,

Rudi A. Maturbongs,

Benidiktus Tanujaya

et al. 2023

World J. Adv. Res. Rev.

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The city administration considers implementing urban green open spaces a viable solution to meet Indonesia's Folu Net Sink 2030 target and the Long-Term Strategy for Low Carbon and Climate Resilience (LTS LCCR) 2050. This initiative addresses the urban environment's declining carrying capacity and resilience. The current urban green open space development level in Sorong City stands at 8.21%, which falls short of the 30% target mandated by the central government. The utilization of SWOT analysis is employed as a means to construct comprehensive plans and strategies. The findings indicate that the IFE value is 2.38, while the EFE value is 2.27. To mitigate the effects of potential threats, it is essential to ascertain the defensive mechanisms employed by the entity under consideration. A total of 110 weakness-threat (WT) strategies were identified through the collaborative efforts of managers and municipal environmental planners, who combined 10 weakness aspects with 11 threat components. Regrettably, a limited number of these hypothetical solutions demonstrated satisfactory performance. The Urban Green Open Space Development (UGOSD) initiative in Southwest Papua has found six viable Wakness-Threat (WT) alternatives to enhance the urban green infrastructure system.

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Section: Methods Of Data Analysismentioning

confidence: 99%