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The garment industry faces challenges in grouping diverse goods based on their characteristics, which can affect the efficiency of the production process and inventory management. This study aims to apply the K-Means Clustering algorithm in garment goods classification to improve business process management and optimization. The K-Means algorithm, as one of the popular clustering methods, is used to group garment goods data based on features such as size, color, fabric type, and product model. This method begins with the selection of relevant features from the dataset obtained from the garment industry. Furthermore, the K-Means algorithm is implemented to determine the optimal number of clusters using the elbow score and silhouette methods. The clustering results are analyzed to evaluate the extent to which the algorithm can form homogeneous and business-relevant groups of goods. The results of this study indicate that the K-Means Clustering algorithm is effective in grouping garment goods into several categories that are consistent with business patterns and needs. The application of this method results in a better understanding of goods grouping that can improve production efficiency and facilitate inventory management. This study contributes to the best practices in the use of the K-Means algorithm in the convection sector and shows the potential of this method in supporting data-driven decision making.   Keywords:,

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 process of finding employees, or what is often called employee recruitment, is an important concern for employers. Recruitment is carried out with the hope of getting employees with the required classification. After the recruitment process is carried out, it is necessary to conduct training for new employees according to their job title. The training was conducted to equip employees to be more creative and able to provide excellent service to visitors. Training is one of the efforts to achieve the service standards that have been set in the business. The population and sample of this study were all 37 employees at RIC, with the data collection method in this study being a questionnaire that will be distributed to employees. The list of questions on the research questionnaire uses a Likert scale. The data analysis method uses descriptive qualitative analysis, namely by distributing questionnaires to respondents to solve the problems to be studied, and quantitative analysis is carried out by processing the data using the SPSS version 23 software tool. From the results of the study, it can be concluded that there is a significant influence between recruitment and training on employee performance at Coffee Idea House. This means that business people must pay attention to a good recruitment process and intense training to improve employee performance.

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 determine and analyze the influence of tourism promotion, tourist attractions, tourist facilities, accessibility, service quality, accommodation, tourist age, and tourist income in Batu Katak Tourism Object, Batujonjong Village, Bahorok District, Langkat Regency. This study used primary data collected to see the classification of tourist visit levels using a sample of 90 visitors to tourist attractions, using the Confirmatory Factor Analysis (CFA) analysis method and then using Multiple Linear Regression. The results of the study showed that of the 8 variables analyzed using a factor analysis model that affects the level of tourist visits to Batu Katak, only 3 factors affect the level of tourist visits, namely tourism promotion, service quality, and tourist income. Based on the results of multiple linear regression analysis, it shows that tourism promotion and service quality have an effect and are signed on the factors of Batu Katak tourism visitation rates, while tourist income has an effect and is not significant on the level of tourist visits to Batu Katak Batujongjong Village, Bahorok District, Langkat Regency.    

Inequality of access to social assistance services is still a sectoral problem faced in various regions including Baubau. Although the local government has carried out policy masculinization, in reality it still faces a variety of obstacles oriented towards biased access to social assistance services in the community. This study aims to further explore the alleged inequality and or inequality of access to social assistance services in Baubau. There are at least three important questions raised in this research. First, what is the reality of the implementation of social assistance services in Baubau? Second, what are the factors behind the inequality of access to social assistance services? Third, how is the mapping and counseling of bias in access to social assistance services in Baubau. In dissecting these questions, this research uses a descriptive-qualitative method with a critical paradigm. The data analysis process in this case uses the offer of Matthew B. Miles and Michael Haberman. The findings in this article show that the implementation of social assistance services in Baubau still faces many challenges oriented towards two main aspects, namely the issue of beneficiary data (data fresness and Ineligible data) and community accessibility issues These two points are the main starting point for inequality in access to social assistance services in Baubau, which can technically be categorized into two major classifications, namely bias (Inequality) between urban (urban) and rural (rural) areas. With the extension activities, this problem is expected to be minimized for the sake of more solitive and adaptive social assistance governance.

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.