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Deep vein thrombosis (DVT) is an occurrence of blood clot (thrombus) formation in the deep veins, most commonly affecting the veins in the legs and arms that lead to the heart. A prospective multicenter cohort study in China involving 862 hospital-based patients with acute stroke showed an overall DVT incidence of 12.4% within 2 weeks after acute stroke. The objective of this article is to comprehensively understand DVT. The methods employed include a systematic summary of information from 15 data sources to provide insights into DVT, covering aspects such as Definition, Etiology, Epidemiology,Classification, Pathogenesis, Clinical Manifestations, Diagnosis, and DVT management

Rapid development has caused changes in land use patterns, where built space increasingly dominates and pressures natural spaces to change function (Pribadi et al., 2006) explaining that changes in land use patterns result in fluctuations in the carrying capacity of land resources, giving rise to land disasters. landslide (landslide). Buol et al. (1980) and Darmawijaya (1990) explained that landslides are essentially caused by the inability of the soil to support the load above it because the soil has experienced degradation of its soil properties. The method used in this research uses a weighted scoring method. The results of the analysis of 5 parameters of potential landslide-prone areas in Tanah Datar Regency obtained 3 classifications of levels of vulnerability, namely high-level landslide-prone areas covering an area of ​​2032.6955 ha, moderate-level landslide-prone areas covering an area of ​​16174.395 ha and low-level landslide-prone areas covering an area of ​​6284 ha. ,6345 ha. The most extensive area prone to landslides with a high level is in North Lintau Buo District. The area prone to moderate landslides is most extensive in North Lintau Buo District. The most extensive low-level landslide-prone areas are in Sepuluh Koto District.

Music genre classification is one part of the music recommendation process, which is a challenging job. This research proposes the classification of music genres using Bidirectional Long Short-Term Memory (BiLSTM) and Mel-Frequency Cepstral Coefficients (MFCC) extraction features. This method was tested on the GTZAN and ISMIR2004 datasets, specifically on the IS-MIR2004 dataset, a duration cutting operation was carried out, which was only taken from seconds 31 to 60 so that it had the same duration as GTZAN, namely 30 seconds. Preprocessing operations by removing silent parts and stretching are also performed at the preprocessing stage to obtain normalized input. Based on the test results, the performance of the proposed method is able to produce accuracy on testing data of 93.10% for GTZAN and 93.69% for the ISMIR2004 dataset.

This article aims to describe getting to know children with special needs and their classification. This research uses a qualitative descriptive research method. Data collection techniques include: observation, interviews, and documentation. The research subjects or informants are parents, the community, class teachers/homeroom teachers and special guidance teachers. The results of the research show that: children with special needs are children who experience significant abnormalities or deviations (physical, mental, intellectual, social and emotional) in the process of their growth and development compared to other children of the same age and therefore require special education services. Children with special needs have different characteristics from one another. The characteristics and obstacles they have, ABK require special forms of education services that are tailored to their abilities and potential. The classification of children with special needs is divided into several groups, including: blind, mentally retarded, deaf, physically disabled, hearing impaired, learning difficulties, cerebral palsy, autism, gifted children, rett's disorder, Asperger's, slow learners, and ADHD.

The focus of this study is on the illocution of the anecdote text in the learning module of the Class X Indonesian High School Language Learning module compiled by Indri Anatya Permatasari. The existence of this study is used as a basis for explaining the intent of anecdotal texts as well as raising some issues around the community to be understood wisely through understanding the intent of anecdotal texts. In addition, the study also aims to provide an understanding of the classification of illocution speech in anecdotal text in the Indonesian language learning module of class X SMA compiled by Indri Anatya Permatasari. The methods used in this study are two, namely descriptive and qualitative, and use a pragmatic theoretical approach. The data used is in the form of anecdotal text in the X class of the Indonesian language learning module, which is then analyzed according to the classification of illocution speech. The data source in this study is anecdotal text in the learning module. The data collection for this study uses a listening or reading technique and notes. In his data analysis, use agility and body techniques. As for data presentation, it uses formal and informal techniques. The results of the data analysis found the action of assertive, directive, expressive, declarative, and commissive illocumentation. The most-finding data is assertive illocution speech, while the least is commissionive illocution speech. Hopefully, this article can provide an understanding of the classification of illocution speech in anecdotal text in a learning module.

The focus of this study is on the illocution of the anecdote text in the learning module of the Class X Indonesian High School Language Learning module compiled by Indri Anatya Permatasari. The existence of this study is used as a basis for explaining the intent of anecdotal texts as well as raising some issues around the community to be understood wisely through understanding the intent of anecdotal texts. In addition, the study also aims to provide an understanding of the classification of illocution speech in anecdotal text in the Indonesian language learning module of class X SMA compiled by Indri Anatya Permatasari. The methods used in this study are two, namely descriptive and qualitative, and use a pragmatic theoretical approach. The data used is in the form of anecdotal text in the X class of the Indonesian language learning module, which is then analyzed according to the classification of illocution speech. The data source in this study is anecdotal text in the learning module. The data collection for this study uses a listening or reading technique and notes. In his data analysis, use agility and body techniques. As for data presentation, it uses formal and informal techniques. The results of the data analysis found the action of assertive, directive, expressive, declarative, and commissive illocumentation. The most-finding data is assertive illocution speech, while the least is commissionive illocution speech. Hopefully, this article can provide an understanding of the classification of illocution speech in anecdotal text in a learning module.

This article examines drama texts that focus on pragmatic aspects, namely illocutionary speech acts. The texts studied are drama texts listed in the Indonesian Language Book Class VIII Curriculum 2013. The background of this article is based on the diversity of the application of illocutionary speech acts in the drama text. The purpose of this article is to analyze illocutionary speech acts in drama texts. The method used in this research uses a methodological approach, namely descriptive qualitative, and a theoretical approach, namely pragmatics. The data of this article consists of a group of sentences that form a paragraph taken from the drama text in the Indonesian Language Book Class VIII Curriculum 2013 and studied commensurate with the classification of illocutionary speech acts. The data source comes from the drama text in the Indonesian Language Book Class VIII Curriculum 2013. The techniques used are note-taking techniques and listening techniques or reading data which are data collection techniques. The data analysis technique in the research uses agih and padan techniques. Data presentation techniques with informal techniques. From the existing data, the conclusion is that there are several forms of speech acts in the drama text, namely: representative/assertive, expressive, commissive, directive, and declarative illocutionary speech acts contained in the drama text. This article has benefits for students because it can provide knowledge about the classification of illocutionary speech acts.

This article examines drama texts that focus on pragmatic aspects, namely illocutionary speech acts. The texts studied are drama texts listed in the Indonesian Language Book Class VIII Curriculum 2013. The background of this article is based on the diversity of the application of illocutionary speech acts in the drama text. The purpose of this article is to analyze illocutionary speech acts in drama texts. The method used in this research uses a methodological approach, namely descriptive qualitative, and a theoretical approach, namely pragmatics. The data of this article consists of a group of sentences that form a paragraph taken from the drama text in the Indonesian Language Book Class VIII Curriculum 2013 and studied commensurate with the classification of illocutionary speech acts. The data source comes from the drama text in the Indonesian Language Book Class VIII Curriculum 2013. The techniques used are note-taking techniques and listening techniques or reading data which are data collection techniques. The data analysis technique in the research uses agih and padan techniques. Data presentation techniques with informal techniques. From the existing data, the conclusion is that there are several forms of speech acts in the drama text, namely: representative/assertive, expressive, commissive, directive, and declarative illocutionary speech acts contained in the drama text. This article has benefits for students because it can provide knowledge about the classification of illocutionary speech acts.

Children with special needs are special children, some of them still need help from other people to carry out their daily activities. But of course children with special needs are trained and accustomed to being independent. There are many Sufistic values ​​contained in daily actions, including in the process of forming emotional independence in crew members. The aims of this research include: to determine the emotional classification of children with special needs (ABK) academically. This research uses field methods (field research) with a qualitative approach. The data collection techniques were obtained through the process of observation, interviews and documentation. The subjects in this research were the founder, several teachers and several students. The results of this research show that: emotional classification of children with special needs (ABK) academically at SLBN Muara Bungo. In delivering it through activities outside the classroom and inside the classroom by first providing an example and motivation to the child then the child will practice periodically and do it with the help of other people first and then be left to do whatever they can on their own. This is a form of independent behavior for children with special needs. (ABK) includes emotional independence, namely controlling one's own emotions, and the effectiveness of instilling Sufistic values ​​in forming emotional independence for children with special needs (ABK), including repentance, responsibility, trust and patience, even though independence is still with the help of other people.

This research discusses the personality and emotions of the character Saka in the novel Egocentric by Syahid Muhammad. The aim of the research is to explain an in-depth and detailed understanding of the personality structure and emotional classification of the Saka character. This research is a qualitative descriptive study. The approach used is literary psychology using Sigmund Freud's personality theory and David Krech's emotional classification theory. The data for this research is a quote from the novel Egocentric by Syahid Muhammad. The data collection method in this research uses the literature study method. The results and discussion show that Saka's character has an id, ego and superego personality structure and shows Saka's emotional classification.

As Chat GPT rose to fame rapidly, it has drawn attention of researchers around the globe to conduct studies related to the use of Chat GPT in various sectors including education. This study aims to investigate the use of Chat GPT in ELT through reviewing numerous previous related journal articles. In this review study, the researchers collected thirty journal articles from several primary online databases, such as: ERIC, Google Scholar, Sage Pub, ProQuest, Elsevier, Academia, and Research Net. To analyze the data, the researchers performed a set of procedures, namely data selection, classification, analysis, and conclusion. The results indicate that Chat GPT is a powerful tool that potentially brings benefits yet it requires more consideration and caution to be properly and effectively implemented. In a nutshell, the role of human resources is required to remain dominant and Chat GPT is probably used as a supporting element in ELT. It is expected that this study provides fruitful insights that are highly beneficial to promote proper understanding and implementation of Chat GPT in ELT.

This research focuses on a comprehensive comparison of phonemes between Sundanese and Indonesian languages. The analysis employs content analysis to delineate the intricate differences between the two languages. Sundanese, as revealed in the study, comprises seven vowel phonemes, whereas Indonesian has five primary vowels. Vowel classification in both languages involves lip position, tongue's front-back movement, and tongue height during pronunciation. Sundanese has 18 consonant phonemes, while Indonesian possesses 21 consonant phonemes. Interestingly, despite Sundanese having 29 vowels, some are unable to occur consecutively with other vowels. Conversely, in Indonesian, words with diphthongs, i.e., a sequence of two vowels in one syllable, are considered separate cases. Another significant difference is the presence of an additional phoneme in Sundanese, namely /é/, which is absent in Indonesian. The existence of this phoneme adds complexity to Sundanese phonological patterns. Additionally, noticeable differences in consonant phonemes exist, with Sundanese having only 18, while Indonesian has 21, creating intriguing phonetic diversity between the two languages.

Background: Pneumonia is part of respiratory tract infections in children and is one of the diseases that causes the most deaths in toddlers. According to data from the Ministry of Health of the Republic of Indonesia for 2021, based on 34 provinces of pneumonia in toddlers, Bali ranks ninth with the largest coverage of pneumonia in toddlers, namely 28.6% of cases with 23 cases of deaths in toddlers. The purpose of this research is to describe the mapping and patterns the spread of pneumonia in toddlers in Denpasar City in 2022 based on Geographic Information Systems (GIS Methods The design in this study uses descriptive quantitative with the research design used is cross sectional. Sampling of 260 samples was carried out using a purposive sampling technique. Data analysis using spatial classification analysis. Results: From the results of the study it was found that the spread of pneumonia in toddlers in Denpasar City in 2022 was classified into three categories namely high, medium and low. The pattern of distribution of pneumonia cases in Denpasar City in 2022 is the highest in West Denpasar District with 94 cases. Conclusion: The conclusion of this research is that the West Denpasar Subdistrict region has the highest cases and the lowest cases are found in the East Denpasar Subdistrict region. Age, gender and population density are risk factors that influence the high incidence of pneumonia in children under five in Denpasar City.

The global economic recession is a global economic downturn that affects the domestic economies of countries in the world. The stronger the economic dependence of one country on the global economy, the faster a recession will occur in that country. In 2020 the country of Indonesia and even the world are exposed to the COVID-19 virus which has an impact on the country's economic growth, even the world economy. This is the trigger for an economic recession. This has led to many different public perspectives on the occurrence of a global economic recession whose opinions or reactions are expressed on social media Youtube. The data was obtained by crawling techniques from social media Youtube with a total of 500 comments used. The data is then labeled (class) with a lexicon-based method with an Indonesian language dictionary. From the labeling results, it was obtained 185 positive labeled data (37%) and 315 negative opinions (63%). The data preprocessing stage is carried out in preparation for the data to be processed for sentiment analysis. Of the many opinions obtained, an analysis of public sentiment regarding the 2023 global economic recession will be carried out using the Naïve Bayes classification algorithm. This study also applied the TF-IDF word weighting method with the n-gram feature used, namely bigram (n=1). The system will be evaluated using a confusion matrix. The implementation results show a prediction model with a total of 500 opinion data with a comparison of training data and test data of 9:1, producing an accuracy value of 84.00%, a precision value of 75.00%, a recall of 30.00%, and an f1-score of 42.86%. The performance of the system model built in this study can be said to be good.

  This research aims to conduct a literary psychological study of the novel entitled Hai, Luka by Mezty Mez. This novel was written by a famous author who describes the complexity of the emotions and psychological conditions of the main character. This research explores the psychological elements contained in the novel and analyzes their influence on the character development of the main character. The method used in this research is qualitative method. The results of the research show that the classification of emotions in Dante's character is in the form of guilt, buried guilt, self-punishment, shame, sadness, hatred and love. In this case, the novel Hai, Luka provides a deeper understanding of the complexity of the characters and psychological conditions depicted through literary works. This research contributes to the field of literary psychology studies by revealing how authors use psychological elements to shape characters and stimulate emotional responses in readers    

This study analyzes how the translation techniques is applied in the bilingual textbook Science Biology for Junior High School.The study was conducted qualitatively. Data was collected by selecting complex sentences from chapter six and seven.Then,I analyzed and categorized the translation techniques used according to the classification of Molina and Albir. The data is then calculated to determine the main translation techniques.The findings indicated that in this textbook,there are many translation techniques that contained in a complex sentences. As a result of the study 40 complex sentences were found in the sixth and seventh chapter.This textbook has nine translation techniques there were: literal translation, borrowing, adaptation, reduction, particularization, amplification, generalization, transposition and description. From 40 complex sentences it can be concluded that there are 15 complex sentences of literal translation,4 complex sentences of borrowing,1 complex sentence of adaptation,2 complex sentences of reduction,3 complex sentences of particularization, 7 complex sentences of amplification,2 complex sentences of generalization,1 complex sentence of transposition,5 complex sentences of description. Literal translation is the most numerous technique in the text book. So , over all the concept of a sentence can be easily understood and the knowledge can be developed from daily experiences.

The role of cooperatives in supporting the economy is reflected in their contribution to GDP, which experiences a positive trend every year. The potential of each region is different, resulting in a classification of the types of cooperative businesses that exist in order to realize regional growth in accordance with the resources it has. This research uses descriptive research with a quantitative approach using the Location Quotient (LQ) method. The data used is secondary data obtained from the Ministry of Cooperatives and BPS West Java. The results of the Location Qoutient (LQ) method analysis show that two types of business are categorized as potential bases, namely the consumer cooperative and producer cooperative sectors, because they have an LQ value> 1. Meanwhile, the cooperative, service, marketing cooperative and savings and loan cooperative sectors are in a non-base position, because they have an LQ value <1.

One form of text that can express emotions is lyrics. Lyrics are a type of literary work expressed in the form of words, the contents of which can express the songwriter's personal feelings, thoughts, and emotions. Therefore, the lyrics can be used as an object of research on the classification of emotions. The classification of song lyrics really requires bi-LSTM to be the input value when classifying data in the form of song lyrics in order to get high accuracy results. This research was carried out systematically and the results were measurable. Descriptive qualitative research was used in this research. The results of identification based on case studies and statistics show that the reviews of popular topics are identical. The classification of song lyrics really requires bi-LSTM to be the input value when classifying data in the form of song lyrics in order to get high accuracy results.

This research was motivated by the low level of encouragement and results of practicing the Quran Hadith for category VII students at SMPIT Kawan Quran. The aim of this research is to identify the impact of the card sort procedure in the main review of strengthening my faith by worshiping the encouragement and results of practicing the Qur'an Hadith at SMPIT Kawan Qur'an, Sawahlunto City. This type of research is imaginary research, with the concept of randomized control group only design research. Based on research results, it was found that in general the encouragement of students for each marker was in the range of 80% - 84% with a large classification and in general the percentage of encouragement for students to practice Al-Quran Hadith after applying the Card sort procedure was 82% with a large classification also. On the other hand, students' results for practicing the Qur'an, the Words of the Prophet in the research category were 82.08 with a completion percentage of 72%. On the other hand, in general what was obtained in the supervision category was 73.72 with a completion percentage of 56%. From the calculations we get tcount= 2.67 and ttable= 2.02. Because tcount ttable until H1 is obtained. So, it can be said that the results of students' training with the application of card sort procedures are better than conventional training in the subject of the Qur'an, Words of the Prophet, category VII SMPIT Kawan Quran, Sawahlunto City.

The purpose of writing this article is to determine the application of the nearest neighbor classification algorithm in diabetes detection. This nearest neighbor classification algorithm is a classification method often used to classify objects based on available data. This method works by searching for the closest objects in the dataset and classifying the new objects based on the closest object category. The application of the KNN algorithm can be carried out in various fields, such as analyzing the feasibility of credit granting, classifying online news materials or diagnosing diabetes. In this article, the researcher uses a literature review research method assisted by a descriptive analysis approach, to analyze the data and by describing the data that has been previously collected where the author describes data that has been obtained from various literary sources such as journals, data and others. The data obtained will be analyzed and interpreted in accordance with the objective of this research, which is to determine the application of nearest neighbor classification to detect diabetes.