The idea of ​​building a new capital city is a recent issue that has been widely discussed in Indonesia. To help observe the urgency of these ideas, research results are needed by analyzing several published documents available globally. This helps study the evolution of the discourse of moving the new capital city through research results. This study aims to fill the gap in previous research on moving the State Capital with a bibliometric analysis approach. The bibliometric analysis research method maximizes the analytical tool, namely Vosviewer. This approach explores relocating the National Capital by reviewing publications and research globally, especially in the socio-political field indexed in the Scopus database. This study found 176 most relevant publication documents and was considered influential on other published documents. In line with the discourse on relocating the Indonesian capital, this study finds that the tendency of Indonesian researchers to distribute publication documents is very minimal globally, but the results of this study view that the study of the relocation of the National Capital has the potential to be extensively researched in the future, especially in the socio-political field. Some topics are relevant to be studied, including urbanization, regional development, economic development, political geography, government relocation, modernization, identity construction, state-building, climate change, and others. The contribution of this research becomes a reference for further researchers in determining the position of contributions to the development of more relevant research in the future.

No abstract

Twitter is a popular platform on social media that is used to predict presidential candidates and political parties who will contest in the presidential election. This study uses a quantitative approach with descriptive content analysis. This approach describes the details of a text or message related to discussions and information on the Twitter social network in the 2024 presidential election. The research subjects are Twitter social media users based on the involvement of Twitter users in the 2024 presidential election discourse in Indonesia. The data is obtained from Twitter with Twitter Search focusing on the keyword “Pilpres 2024”. The analytical tool used is Nvivo 12 Plus software with Word Frequency Query and Text Search Query analysis features. This study predicts that candidates with a strong chance as official candidates are Anies Baswedan, Prabowo, and Ganjar Pranowo. The mapping of political parties indicates that there will be political contestation between nationalist parties and religious-based parties in the 2024 presidential election.

This research aims to analyze the bibliometric characteristics and trends of articles on political patronage on Indonesia indexed by Scopus. For data retrieval taken from the Scopus database. Retrieval of data on articles that were traced in July 2021 with existing restrictions in Indonesia. The keywords used in this study are political patronage and Indonesia. This study using simple statistical methods and bibliometric analysis with VOSviewer software. This study visualizes the co-occurrence pattern of keywords, document citations, cocitation relationships, and bibliographic merging. The research on political patronage that have taken place in Indonesia has been minimal in the last five years. The results obtained from articles on political patronage have been published in more than 53 journals. Bibliometric analysis shows nine documents have the most significant citation relationship, 53 journals have the largest coupling network, and 72 documents have the most significant bibliographic coupling relationship. Research in the field of political patronage in Indonesia has experienced a decline from last five years.

The purpose of this study is to forecast the political parties and candidates running for president of Indonesia in 2024. Nvivo 12 software is used in this study's quantitative methodology for descriptive content analysis. Twitter users are the study's research subjects. The information was collected via Twitter Search, which targeted the term "Pilpres 2024." According to this analysis, Anies Baswedan, Prabowo, and Ganjar Pranowo will be the winning candidates. Political parties' geographic distribution reveals that the 2024 presidential election would see political tensions between parties with nationalist and religious ideologies.