This research was conducted to obtain information regarding data security and privacy of users of digital health applications, Halodoc and Alodokter, based on legal regulations in Indonesia. The method used is a qualitative method through sources such as literature reviews, journals, scientific works and other media, as well as a quantitative method through calculating the level of conformity of regulations on applications with applicable laws and regulations. The results obtained in both applications are that data security and user privacy are met by seven out of ten indicators, and both make their best efforts to protect and secure their users' personal data, however there is no guarantee that the platform will be safe and reliable.

In the rapidly developing digital era, social media such as Twitter has become part of everyday life and facilitates the rapid dissemination of information, including information about criminals. This research aims to analyze public sentiment towards information about criminals spread on Twitter using the Naive Bayes algorithm. This algorithm was chosen because of its simplicity and effectiveness in text classification. Data was collected through a crawling process from Twitter, followed by a preprocessing stage to remove noise. The research results show that public sentiment towards information about criminals on Twitter is divided into three categories: positive, neutral and negative. After classification, it was found that neutral sentiment increased significantly to 63.4%, while positive and negative sentiment decreased to 10.5% and 26.1%. These findings indicate that people tend to be more careful in reacting to sensitive information. This research provides important insights for related parties in managing information about criminals on social media and can be a reference for developing further policies and strategies.

Technology in this modern era has an important role in the running of a business activity. One of the applications of technology that we often find is the use of advertisements with brand ambassadors to increase consumer interest in buying products. Tokopedia is one of the leading e-commerce companies in Indonesia that implements promotional strategies with advertisements using brand ambassadors to increase consumer buying interest on their platform. Blackpink, one of the biggest names in Korea, was appointed by Tokopedia to be one of their brand ambassadors in 2021. When these brand ambassadors succeed in attracting the attention of consumers, it will indirectly increase consumer buying interest. Therefore, the researcher intends to find the significance between Blackpink's role as a brand ambassador in Tokopedia advertisements and purchase intention on the Tokopedia platform. The data analysis method used is Simple Linear Regression using the SPSS version 25 program. Based on the results of data analysis, a correlation or relationship value (R) of 0.548 (54.8%) is obtained, this value indicates that the correlation or relationship between advertising and interest is a fairly strong relationship. The results of hypothesis testing and it is known that tcount > ttable, which is 2.761 > 1.987. Thus, Tokopedia advertisements featuring Blackpink as brand ambassadors significantly influence buying interest in the Tokopedia platform.
 
 

This research aims to analyze the impact of playing Mobile Legends on toxic behavior in both children and adults. The background of this study is based on the fact that Mobile Legends is one of the popular online games in Indonesia and is widely played by children to adults, often exhibiting toxic behaviors. The method used in this research is a survey. The results of the study indicate that out of 15 survey questions, 90% of the respondents showed a tendency towards toxic activities while playing Mobile Legends. This indicates that individuals ranging from children to adults often engage in toxic behavior, such as using offensive language during gameplay. Therefore, one of the recommendations to create a healthier gaming environment is to block such accounts to prevent them from playing the game for a certain period.

AbstractIndonesia is a democratic country with political party acting as people voices. Politician acquiregovernmental position through affiliation with a political party. The political party voices can influenceother parties and the whole political system. Hence, measuring the influence of a political party is done todetermine the impact in the government system. Using harmonic centrality algorithm to measure theinfluence of a political party or politician which facilitated by Node2Vec. Analysis results shows that thereis a political party that has the most influence in the government. However the graph has quite low densitydue to data limitation.Keywords: harmonic centrality, node2vec, politician, graph analysis