Purpose: The interpretation of network analysis research can be challenging today. The aim of this study is to analyze the homogeneous and the heterogeneous network information that occurred in the UEFA Champions League 2017-2018. Research Methodology: To obtain an interpretation of the results of network information analysis, centrality measurements and community detection were performed, where the centrality measurements methods used are Degree centrality, Betweenness centrality, Eigencentrality, PageRank, while community detection method used is performed using the Louvain. Result: The homogenous and heterogeneous network analysis was conducted using dataset of 17980 players, 32 teams, and 128 matches in Champions League 2017-2018. In this analysis, homogenous and heterogeneous network schemes were used to represent objects and relationships between objects in the network. The analysis was based on centrality measurements to identify influential nodes and community emergence within the network. The result is an interpretation of network analysis in the form of information about the roles of players, teams, countries, locations, formations, and skills that affect the performance of UEFA Champions League. Limitation: the use of diverse data sources, the application or development of data analysis techniques, and the formation of a broader network scheme Contribution: Obtaining information related to the UEFA Champions League based on the interpretation result of the analysis of homogeneous and heterogeneous networks

Purpose: This study aims to examine the effect of attitudes, subjective norms, and perceived behavioral controls on the behavioral intention and behavior of using financial technology payments in Unsoed students. Method: The type of data used is primary data in the form of answers from questionnaires. The number of samples used in this study amounted to 100 research samples. The sampling technique uses the proportional random sampling method from students of Jenderal Soedirman University who are interested and use financial technology payments. Result: The results of the study using SmartPls show that: (1) Attitudes toward behavior have a positive effect on behavioral intention in using fintech payments on Unsoed students, (2) Subjective norms have a positive effect on behavioral intention on using fintech payments on Unsoed students, (3) Perceived behavioral control has a positive effect on behavioral intention in using fintech payments for Unsoed students, (4) Behavioral intention has a positive effect on fintech payment usage behavior for Unsoed students, (5) Perceived behavioral control has a positive effect on fintech payment usage behavior for Unsoed students.

Purpose: The purpose of this research is to assist PT SCN in improving its ability in risk management, by minimizing the risks contained in the CMS application. In addition, it aims to provide recommendations some risk action for risks that have been identified. Methodology/approach: Object of this research is PT Sarana Citranusa Kabil – Batam.    In order to support its business activities, PT SCN uses a application, called Cash Management System (CMS).  This study was conducted using method of case study research. Technique of data collection is in the form of observation. The procedures of this research follow the ISO31000:2018 standard. Results/findings: This study found that (i) there are 20 possible risks, which can disrupt the performance of the CMS and business activities; (ii)  2 possible risks with high level; (iii) 10 possible risks with medium level; (iv)  8 possible risks with low level. Limitations: This research focuses on risk management in the use of CMS applications. The research does not address risks outside of information technology, for example, health and safety environmental issues. Contribution: The result of this risk analysis is a proposed action recommendation based on the impact and frequency of occurrence. Finally, PT SCN can prevent and minimize risks so that the function of the CMS application can run optimally.