Penerapan Social Network Analysis Dalam Menganalisis Kerjasama Tokopedia Dengan Boyband Korea BTS

Tokopedia is an Indonesian technology company with a mission to achieve digitaleconomic equity. Since its founding in 2009, Tokopedia has transformed into aninfluential unicorn not only in Indonesia but also in Southeast Asia. On October 7,2019, Tokopedia announced a South Korean music group, BTS, to become the new brand ambassador for Tokopedia. BTS is a global mega star group from South Korea which is shaded by Big Hit Entertainment. Consisting of seven members including RM, Jin, SUGA, j-hope, Jimin, V, and Jung Kook, BTS was founded in 2013 and has had worldwide success. The extraordinary growth and achievements achieved by BTS have managed to break records in recent years so that BTS is designated as the persona of the Tokopedia brand. Through this collaboration, the public and BTS fans are expected to be closer to their inspirational figure. The various types of marketing currently carried out by Tokopedia in collaboration and collaboration with BTS have had a lot of impact on Tokopedia's sales. One of the marketing efforts that has been done by Tokopedia is using Twitter. Twitter is one of the social media used to attract consumers to buy products sold on Tokopedia. Using Social Network Analysis (SNA) provides a statistical tool for examining relational data not only on the characteristic attributes of individual actors, and focuses on explaining the patterns of relationships between actors, and analyzing the structure of these patterns. Social etwork representation is expressed in graph form because graph is the most fundamental type of social network representation. Social Network Analysis (SNA) argues that the relationship between nodes is important. The focus of Social Network Analysis (SNA) is on knowing the actors/nodes involved and how relationships occur. This study uses Social Network Analysis (SNA) to produce a structure of relationship data patterns between the collaboration between Tokopedia and Korean Boyband BTS which can help Tokopedia to review the collaboration that has been done. Tokopedia can take action in collaborating with BTS, to continuing or stopping or replacing with newbrand ambassadors.

Does The Menu of TH Cafe (a business incubator,FPP UNP) Profitable and Popular Enough?

This research aims to determine the level of popularity and profitability of the menu offered through four box analysis. This research is a descriptive research with quantitative data, with the sample of this research is the total population that is the entire population be sampled. The type of data to be used in research is secondary data. Data collection techniques used are documentation, observation and interviews. Data were analyzed using engineering menu method which was grouped based on four box analysis. The results of this research indicate that the menu included in the star group are: pecel ayam, ampera rice, fried rice with noodles, orange juice, mango juice, dragon juice, avocado juice. The menus belong to the group of puzzles on the menu: guava juice. Menu included into the group of plow horse menu: fried noodles, boiled noodles, lontong, fried rice, cappuccino, ice tea, nutrisari. The menus are included in the group of dogs are Bubur Kacang Hijau, black sticky rice porridge, and coffee. Suggestions for the TH Cafe, needs for action will be a menu that included into four box analysis such as star menu group by mantaining the taste and quality of food. In the puzzle group, by making changes to the menu appearance to be more interesting. For plowhorse group, the menu might be bundled with the star menu group with a relatively cheap price but not harmful, while the dog group by reducing stock inventory so as not wasted, or change the name of the food menu with a more unique and interesting name in order to attract visitors and can also create a special offer.

Star Map Stitching Algorithm Based on Visual Principle

For the problem that the limited star map field angle cannot obtain the complete star map accurately, the paper study astral intrinsic and imaging features, a star map stitching algorithm based on the principle of visual perception is proposed firstly. The matching models of time and space dimensions is constructed by simulating the visual perception, then the stars and the planets points are saved by searching the matching star group dynamically, the star map is stitched and reconstructed efficiently by creating the computer sparse storage model. The experimental results show that the algorithm can achieve data compression quickly, compression ratio is 99.54%, which can reduce complexity of manual processing and can achieve star map stitching accurately.

Star-group identities on units of group algebras: The non-torsion case

Let G be a group, F a field and FG the corresponding group algebra. We consider an involution on FG which is the linear extension of an involution of G, e.g., {g^{*}=g^{-1}} for {g\in G} . This paper is focused on the characterization of a non-torsion group G provided the group of units {U(FG)} satisfies a {*} -group identity. The torsion case was studied in [7], and when {*} is the classical involution, this problem was solved in the case of symmetric units in [21].