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English translation. The rapid advancement of technology encourages more diverse interactions in languages, one of which is followed by the emergence of various social media. The following research aims to discuss linguistic interactions regarding locutionary speech acts in Pragmatics. Unlike previous studies, this data was taken from utterances that discussed Indonesian language material uploaded by a Twitter user. Starting from discussing UTBK questions, PBM, language issues, to updates regarding the EYD (Edition V) which is implemented in Indonesia. This study aims to determine the intent and form of locutionary speech acts in Fauzan Al-Rasyid's Twitter account uploads regarding this linguistic material. This article applies a research method with a pragmatic and descriptive qualitative approach that uses techniques of reading, observing, and documenting the data to be collected. Documentation techniques are used to collect data, reduce data, display data, and verify the data taken so that all data is neatly arranged and properly recorded. The results of this study, the researcher found 15 speech data where all the data were in the form of locutionary speech acts. The 15 data have the intention of conveying information and giving confirmation from speakers to speech partners related to language. Then, in presenting the data, the writer uses formal and informal presentation. This research is expected to provide an understanding of locutionary speech acts and can be used as a basis and reference or reference by other researchers who wish to conduct similar research in order to improve their problem-solving skills or as an effort to improve their analytical skills .    

This service is based on changes in the mechanism and substance of the implementation of National Selection for Student Admissions (SNPMB). This transition is something new for prospective students and if prospective students do not understand it, it will 0certainly have a bad impact on the readiness of prospective students in participating in the implementation of UTBK-SNBT. The procedure for implementing the service is a sharing session on the implementation of SNPMB 2023, introduction and discussion of the 2023 UTBK-SNBT model questions, as well as an initial ability test on the representation of the 2023 UTBK-SNBT question model based on the latest UTBK-SNBT sub-matter. Then the socialization participants will be given a test to measure their knowledge of the SNPMB 2023 mechanism after the provision of SNPMB 2023 material. The results of this service activity are that more than 90% of prospective university students at SMA Negeri 1 Kefamenanu have understood the mechanism for implementing SNPMB 2023 after participating in the sharing session, based on the ability test, prospective university students do not fully understand the 2023 UTBK-SNBT model questions, and based on the results of the questionnaire, more than 90% of sharing session participants gave a good response to this activity. The results of this activity are important as a measure of understanding of the SNPMB 2023 mechanism and provide an overview of the initial ability of prospective students to answer UTBK 2023 model questions so that follow-up can be known in accordance with these abilities.

Community Services in Solving Scholastic Potential Test  (TPS) for Preparing Students to Take UTBK-SBMPTN Having a Computer-Based Written Examination (UTBK) score is a mandatory requirement for prospective students who continue their studies at public universities through the SBMPTN. The Scholastic Potential Test (TPS) is one of the materials in UTBK that really needs to be taught to students before taking UTBK. This community service  aims to increase students' knowledge and skills in solving TPS problems. This PKM activity involved 47 class XII students majoring in Science, Social Studies and Language at SMAN 1 Kefamenanu and LBKP U-Genius Kefamenanu. The training was held for 8 weeks, with 120 minutes per meeting every weeks. PKM results show that there was an increase in students' cognitive abilities in solving TPS questions. In the pre-test, the lowest score was 70 and the highest was 230 out of a maximum score of 250. The average student got a score of 125.7. At the time of the post test, the lowest score was 100 and the highest was 250 from the maximum score of 250. The average was 193.8. Thus there was an increase in the student's score on the TPS test material by around 64.8%.