This study aimed to produce a network structure in Integrated Urban Farming Program in Bandung City to map the involved policy actors to realize a food-smart city. In this study, a mixed method was used with an exploratory sequential strategy involving policy actors from the government, private sector, academia, community, and mass media. To obtain a network structure in Integrated Urban Farming toward determining the most important actors, the Social Network Analysis (SNA) approach was also employed through the Gephi application. From this context, the structure emphasized four dimensions, namely Degree, Betweenness, Closeness, and Eigenvector Centralities. The results showed that the actor with the most connections (degree of centrality) and best communication control (betweenness centrality) is Parahyangan Catholic University (academic). At the same time, the actor that plays the most important role (eigenvector) is at the lower level of the government’s Sub-District and Urban Village. This study is useful for explaining the importance of the position of actors in the urban farming policy network, which is the key to the success of a program.

This research aims to produce a network structure in the Integrated Urban Farming Program in Bandung City to map the policy actors involved in it as an effort to support food security in the city. This research uses a mixed method with an exploratory sequential strategy involving policy actors from the government, private sector, academia, community, and mass media. To obtain the network structure in integrated urban farming to determine the most important actors, this research uses a social network analysis approach by utilizing the Gephi application. The network structure is based on four dimensions, namely centrality. The results of this study confirm that the actor who has the most connections (degree centrality), as well as the one who holds the best communication control (betweenness centrality), is Parahyangan Catholic University (Academic). While the actor who plays the most important role (eigenvector) is at the lower level of the government Sub-District and Urban Village. This research is useful for explaining the importance of the position of actors in the urban agriculture policy network which is the key to the success of a program.

The management of expenditure carried out by local governments until now is considered not effective and efficient enough, so the government, through Law Number 1 of 2022 (articles 146 and 147) seeks to increase the effectiveness of regional expenditure in regional development by regulating the proportion of employee spending and public service infrastructure spending. This article aims to evaluate regional spending management policies in increasing Human Development Index (HDI) in the Bima regency. This regency was chosen as the research location because it has a fairly large employee expenditure allocation which is  49.29 percent of the total regional expenditure, with an increase in HDI of 0.36. Data analysis was carried out using Tableau applications and cost-effectiveness analysis. The results show that in comparison to other Indonesian eastern districts, the Bima region does not manage regional expenditures efficiently. Meanwhile, the results of the 2022-2025 HDI forecast only increased by 0.611 per year. The estimated HDI in 2024 is 69,02863, which is still far below the 2024 HDI target of 75.54. Suggestively, the Bima regency needs to allocate budgets selectively for the HDI driving sector and decrease the employee spending rate.