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This article reviews the influence of netizen comments on the mental health of parents of children with special needs. The research analyzed in the article is based on the background of the problem that negative comments have a significant impact on the mental health of parents with disabilities, so this research aims to address the stigmatization and discrimination of persons with disabilities and their families on social media and encourage people to treat them with the same respect and understanding as other people. This type of research is qualitative research with a naturalistic paradigm. The method used in the assignment article for the Indonesian Language Education course is a systematic literature review (SLR). The research instrument is a survey and the researcher is the key instrument. The data source for this research is the results of a survey of several comments on the social media accounts of parents of children with special needs. The result is making learning media in the form of posters or videos, and others about the effect of bad comments on the mental health of parents of children with special needs as well as the importance of being responsible and being wise in writing comments on social media.

Technological developments today make it easy for people to use social media as a means of expressing opinions, including Twitter. The case study taken by the researcher is the sentiment towards the performance of the mayor of Medan. The case was taken because it was widely discussed by Indonesian people, especially the city of Medan on Twitter social media. One of the uses of this research is to find out the trend of Twitter user comments on the performance of the mayor of Medan by conducting a sentiment analysis. Sentiment will be classified as positive, negative and neutral. The algorithm used in sentiment analysis is Naïve Bayes. The stages in conducting sentiment analysis in this study are data preprocessing, data processing, classification, and evaluation. The results of this study are using the SMOTE method, the training and testing ratio is 80:20 because it has the highest accuracy, which is 78% compared to other ratios. The prediction results resulting from the classification turned out to be more dominant towards neutral labels. In addition to classifying for sentiment analysis, this study also measures the performance of the model created. The results showed that the Naïve Bayes algorithm has a precision value of 78%, a recall of 78%, and an f1-score of 77%.

This article considers how the use of Indonesian on social instagram through west Java governor @ridwankamil's account. Where this instagram is being used as one means to showcase his identity as an active politician using a mixed language between Indonesian and sundanese. The study aims to know the language used by ridwan kamil in every post he posted. The study used a method with a library study type. This library study process is also used for collecting data. Based on results and discussions, analysis of the use of language styles or variations in social media has been found in a great variety of language styles such as the use of sundanese in his posts and comments column, through his personal instagram of @ridwankamil, through his personal instagram not only uploading political content but also by interacting with his followers through the instagram so that personal messages can be faster and more accessible.

In this discussion, we are interested in making this study because the language used on social media tends to use slang and non-standard words that are influenced by culture, regional languages, and language absorption from other social media, therefore this study was held to provide information to people, especially adolescents, to start using good and correct Indonesian. This study aims to determine the use of Indonesian on social media. Data is obtained from status, stories, and conversations in the comments column on Twitter and Instagram that are taken randomly. 

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.

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.

At the present time of the pandemic, it is difficult for the world's most unusual cuttlefish to market its products. Thus, umkm needs to be provided with facilities to market the products online. Special-based backends are one of the media for selling by-products on the catapult. The purpose of this research is to construct typical web-based appendage by-by-products. The purpose of this research is to construct typical web-based appendage by-by-products. Research methods used in the construction of systems on this research are the methods of research and development (R & D). This study provides several design systems, the design of system architecture, the DFD system, the design of the interface, and the design of system testing. The system was created using the framework laravel. As for the results of the final assignment research "typical web-based appendage". In this system, there are two users, the user as the store and the user as the buyer. On the user as a store there are several features that include input from store products, editing from products, confirmation of deliveries, responding to comments given by the buyer on the product, viewing the order data done by the buyer, and editing the store's data. While the user's features as the purchaser look at the product's data, see the store's data as a souvenir, order a by-product payment, confirm the order has been accepted, give an assessment of the product's already received, and edit the customer's data. The system was tested by using black box methods testing to see the effectiveness of a system built with test variables was 100%.