Social-economic impact of government regulation to revitalize public market: A Bayesian network approach

Public market revitalization has become a priority agenda of the Indonesian Government (Nuzuliati et al., 2019), but it is indeed more focused on physical revitalization as an initial stage (Ardiansyah & Mahendarto, 2020). The purpose of this study is to develop a model that can predict the impact of public market revitalization in Indonesia. The analysis used is the Bayesian network (BN), where this technique is able to present causality and predictions that can occur from the developed model. Data for input was collected through stakeholder focus group discussions (FGDs). The results of the analysis have provided insight into the importance of non-physical revitalization, where non-physical revitalization can be a booster and ensure the sustainability and continuity of revitalization can have a real impact on trader turnover, comfort in activities in the public market, transportation access, and product quality. In addition, in realizing the optimization of the impact of market revitalization, the active participation of traditional market traders is important, traders are the main actors in activities in the public market. The government also needs to prioritize education for traders as a form of optimizing the non-physical revitalization of public markets.