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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.

Destination from study this is for describe style language and meaning  which contained on Andmesh . album Love Extraordinary lyrics Kamaleng. Study this is study qualitative with approach descriptive qualitative. Technique collection data in study this is analysis data is identification data, classification data, analysis data, description data, and interpretation data. Results this research find that style language or figure of speech on lyrics song Amazing Love Andmesh album Kamaleng there is 3 language styles. That is, (1) style comparative language which includes hyperbole, and litotes , (2) affirmative language style which includes repetition, and climax, (3) contradictory language style which includes antithesis.

The purpose of this research is that researchers want to see language acquisition in the field of syntax for a 6-year-old child named Rizky Ramadhan. The source of the data that is the object of this research is the speech or oral utterance of a 6-year-old child named Rizky Ramadhan in the field of syntax. The method used in this research is descriptive research with qualitative data analysis. Data collection techniques carried out by researchers in this study used listening, interviewing and recording techniques. The results of this study indicate that a 6-year-old child named Rizky is able to produce words and sentences in every activity. This can be proven from his daily speech with his interlocutor, namely the researcher, biological mother, and also the child's brother. The theory used in analyzing Rizky's speech refers to Abdul Chaer about sentence classification which includes news sentences (declarative), interrogative sentences (interrogative), imperative sentences, and exclamation sentences (interjective). The results of this study are that Rizky has been able to utter 22 declarative sentences, 15 interrogative sentences, 9 imperative sentences, and 8 interrogative sentences. sentence form as shown in the results.

This study discusses the use of diction, imagery, and figure of speech in the poem Aku Waiting for the Flower. The poem I Wait for Flowers is a poem that talks about someone who is waiting for someone they love very much. With beautiful poetry lines and contains very strong meanings and meanings. This study aims to: 1) Describe Diction 2) Explain imagery 3) Describe the figure of speech in the poem Aku Waiting Bunga. This research uses qualitative descriptive research. The data collection technique used is reading and note-taking technique and data analysis technique using descriptive analysis technique which includes description, classification, and analysis. The results of the research on the poem ''I am waiting for the flower'' have denotative and connotative diction, visual imagery, feeling imagery, and imagery. intellectual, as well as figure of speech personification and hyperbole  

This study aims to find out the feasibility of flash flipbook media based on the results of macroscopic fungi inventory found in the Mount Pemangkat Protected Forest, Sambas Regency. The form of research used is quantitative descriptive methods. The creation of flash flipbook media is enriched with the richness of local fungi found in the Protected Forest of Mount Pemangkat, Sambas Regency. Flash flipbook media is validated by five validators, including two lecturers of Biology Education Tanjungpura University and three high school teachers who were determined using purposive sampling techniques. Flipbook flash media validation sheets are assessed using the Likert scale and data analysis based on the Lawshe Formula (1975). Validation of flash flipbook media obtained a CVI (Content Validity Index) value of 0.94, so it is declared feasible and can then be used as a learning medium in the fungi classification sub-material and provide additional information about the diversity of mushrooms in the surrounding environment for students of class X high school.

Field Work Practice is a training facility for informatics engineering students to develop, implement and answer problems faced by their environment. The problem that occurs is where the management and data collection of student data is still carried out semi-systemically because it is recorded in a spreadsheet application so that the data is not structured properly, as a result, information from the placement/assignment process, reporting, and classification of PKL student data is less relevant, accurate and timely. and sometimes human error occurs. Therefore we need a system that is able to make it easier to manage student data from street vendors participants into relevant, accurate and timely information when needed entitled "Web-Based Field Work Practice Information System (PKL). This system is built using the CodeIgniter framework and CSS Layout Bootstrap, then this system will be tested through the blackbox method and compatibility testing. So that we get a system that is able to make it easier to manage student data from street vendors participants into relevant, accurate and timely information when needed.