CODE-MIXING IN LANGUAGE STYLE OF SOUTH JAKARTA COMMUNITY INDONESIA

The purpose of this paper is about to investigate of Code-Mixing appeared in South Jakarta Community while this community having chat each other through social media, WhatsApp and Twitter. The phenomenon of Code-Mixing and Code-Switching in Indonesia became viral in last September. The used of code-mixing helps them to communicate with others, because not all the people can use the language properly. So that, learning about language is really needed. It will increase their vocabularies whether in Bahasa or English. Also, there are few reasons why the community applies the code-mixing in the daily activities. The writer uses the method of qualitative-description research which is done by the writer by getting involved in the community of social media,  having the library and internet research with the relevant sources, and collects the data to be analyzed also describes by explaining the result of the research. The conclusion of the research is by the often using of Code-Mixing, the people indirectly increase their vocabularies. This phenomenon influenced many people to start to apply the Code-Mixin

Efficient Retrieval of Top-k Weighted Triangles on Static and Dynamic Spatial Data

Due to the proliferation of location-based services, spatial data analysis becomes more and more important. We consider graphs consisting of spatial points, where each point has edges to its nearby points and the weight of each edge is the distance between the corresponding points, as they have been receiving attention as spatial data analysis tools. We focus on triangles in such graphs and address the problem of retrieving the top- $k$ weighted spatial triangles. This problem is computationally challenging, because the number of triangles in a graph is generally huge and enumerating all of them is not feasible. To overcome this challenge, we propose an algorithm that returns the exact result efficiently. We moreover consider two dynamic data models: (i) fully dynamic data that allow arbitrary point insertions and deletions and (ii) streaming data in a sliding-window model. They often appear in location-based services. The results of our experiments on real datasets show the efficiency of our algorithms for static and dynamic data.Taniguchi R., Amagata D., Hara T.. Efficient Retrieval of Top-k Weighted Triangles on Static and Dynamic Spatial Data. IEEE Access 10, 55298 (2022); https://doi.org/10.1109/ACCESS.2022.3177620