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Sentiment analysis of comments from visitors to tourist attractions and the public on tourist attractions in Sukabumi Regency which is one of the areas with various categories of tourist objects and is a sector of economic income for the surrounding community or for related parties such as the government and managers, in sentiment analysis research This includes using the Nave Bayes classification algorithm to examine the sentiment of tourist visitors and the performance of the classification model used. The data used in this research was taken from the website from Tripadvisor and Google Maps using a crawling technique, which then processed the data by a pre-processing process and then applied a classification to the data and got a sentiment visualization by processing word frequency on tourist visitor sentiment data. The results of the accuracy of the model used were re-tested with the k-fold cross validation method and the results of sentiment visualization got the frequency of words that most often appear on negative sentiment labels are garbage, beaches, lacking, places, roads, parking, dirty, entering, caring, clean , expensive, pay, manage, good and water.

The purpose of this study is to understand the style of language used in postings on the Instagram account @kumpulan _puisi and its implications for literary connoisseurs on Instagram social media. . The method used in this research is a descriptive quantitative method. The source of the data that the author obtained is from posts contained in the @kumpulan_puisi account on Instagram social media and the accompanying comments. The data collection technique that the author uses is by reading deep understanding and appreciation and meaning. The data analyzed is the use of the language style used and its implications in the comments column by the readers, where the readers participate in replying to posts with poetry in a language style that is in accordance with contained in the post. Lexically, the poetry language style used in the @kumpulan _puisi real account emphasizes its meaning, and forms a rhetorical statement that involves the reader in understanding the meaning of the poem.

This research is to find out whether there is an increase in the ability to write short stories by using comics in the XI IPA class of SMA Negeri 2 Lawe Bulan in the 2021/2022 academic year. This type of research is quantitative research. Data were collected using tests for work in the pretest and posttest classes. The population in this study was 33 people. Data collection techniques were carried out in two meetings. First, before using comic media. Second, after using comic media. Data analysis technique. First, read short stories written by students. Second, converting comments into values. Third, describe the level of students' short story writing skills by finding the average. Fourth, clarifying the ability to write short stories before and after using comic media for class XI students of SMA Negeri 2 Lawe Bulan. The results of this study are First, the short story writing skills of class XI students of SMA Negeri 2 Lawe Bulan before using comic media obtained an average grade of 63.03 which was categorized as less. The ability to write short stories for class XI students of SMA Negeri 2 Lawe Bulan after using comic media obtained an average grade of 82.12 which was categorized as Good.

The goal is to get a sense of the shop ambiance, promotions, and customer purchasing interest at Kopitema. The study technique employed is a descriptive and verification strategy. The procedure of gathering data by delivering questionnaires to Old Coffee customers as responses. Even while respondents' answers to promos are fairly positive, there are still low ratings, indicating that they still need to be improved. Similarly, consumer purchasing interest in Old Coffee based on respondents' comments is deemed strong, but the evaluation remains low and has to be improved. Partially, it was discovered that the shop environment impacts customer purchasing interest.