Indonesian sentiment towards global economic recession in 2023 using optimized hyperparameters of support vector machine kernels

The potential for the 2023 global recession has troubled people worldwide, particularly in light of the COVID-19 pandemic. This study employs a sentiment analysis approach to examine how the Indonesian internet community, particularly on Twitter, perceives the topics related to the global economic recession. We collected 11,017 uploaded tweets that were analyzed using support vector machine classifier with linear, radial basis function (RBF), sigmoid, and polynomial kernel schemes. Furthermore, we optimized the classifiers with C, Gamma, and degree hyperparameters. Empirical evidence indicates a lack of preparedness to face a global recession, evidenced by most responses towards 2023 global recession exhibiting concerns about high inflation and economic instability. The finding also suggests that the optimized RBF is a superior modeling kernel relative to others. Collectively, these results provide insights with significant implications for sentiment analysis, natural language processing, and the study of behavioural economics

Post-Pandemic Society: Case Study of Gunungkidul Regency in Digital Tourism Transformation

This study aims to determine the government’s role and the digitalization process in the Gunungkidul tourism sector and its impact on the surrounding community after the COVID-19 pandemic. Using a qualitative research method with case study approach, data is collected through literature studies of relevant articles, documents, and scientific works to then carry out an in-depth interpretation analysis. The results of the study show that the Gunungkidul government's digitization program which consists of the #IniGunungKidul - The Ultimate Hidden Gem campaign, the regional digitalization acceleration program through a digital economic ecosystem, and training for business actors has achieved excellent success. Throughout 2022, there has been an increasing trend of Gunungkidul tourists and in the same year, the poverty rate for the Gunungkidul has decreased by 2% compared to the previous year. It can be concluded that the government's consistency in implementing digitization of tourism can restore the Gunungkidul economy and at the same time creating a new, technologically literate post-pandemic society