THE ANALYSIS OF CLAUSE COMPLEX OF ANALYTICAL EXPOSITION TEXTS WRITTEN BY THE ENGLISH TEACHERS OF SMKN 2 PALANGKA RAYA

This study was conducted to investigate the analysis of clause complex of analytical exposition text written by the English teachers of SMKN 2 Palangka Raya. Considering that teachers have important role in education field, in which teachers have a function as the model in teaching learning process, especially in teaching English and it is the consideration that the subjects of the study will be the English teachers. The study design of this study was descriptive qualitative. By means of a descriptive study under Systemic Functional Linguistics theory as suggested by Halliday & Matthiessen (2014), the writers employ the analysis of taxis systems which cover elaboration, extension, and enhancement. Besides, logico-semantic relation is also analyzed which covers projection and expansion The data will be analyzed through systemic functional approach in which the analysis of the data will be based the clauses and its taxis (protasis and hypotaxis) along with its logico-semantic relations from text by the teacher.

CLASSIFICATION COMPLEX QUERY SQL FOR DATA LAKE MANAGEMENT USING MACHINE LEARNING

A query is a request for data or information from a database table or a combination of tables. It allows for a more accurate database search. SQL queries are divided into two types, namely, simple queries and complex queries. Complex SQL is the use of SQL queries that go beyond standard SQL by using the SELECT and WHERE commands. Complex SQL queries often involve the use of complex joins and subqueries, where the queries are nested in a WHERE clause. Complex SQL queries can be grouped into two types of queries, namely, Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) queries. In the implementation of complex SQL queries in the NoSQL database, a classification process is needed due to the varying data formats, namely, structured, semi-structured, and unstructured data. The classification process aims to make it easier for the query data to be organized by type of query. The classification method used in this research is the Naive Bayes Classifier (NBC) which is generally often used in text data, and the Support Vector Machine (SVM), which is known to work very well on data with large dimensions. The two methods will be compared to determine the best classification result. The results showed that SVM was 84.61% accurate in terms of classification, and comparatively, NBC was at 76.92%.

REALIZATIONS OF PROJECTION IN NEWS STORY AND EDITORIAL TEXTS

ABSTRACTThis research deals with projection that is used in news story and editorial texts. Projection is well defined as representation of a linguistic experience in another linguistic experience. Projection is equivalent to direct and indirect or reported speech in traditional or formal grammar. As projection is an element of the logical function, it is realized as a clause complex, where there are at least two clauses. With reference to some theories, projection is also potentially realized in the form of single clause and phrase. The aim of this research is to describe similarities and differences with reference to the realizations of projection used in the news story and editorial texts. This research is conducted by using descriptive qualitative design. The data of this research are clause complexes containing projection in news story and editorial texts of Indonesian newspapers. The sources of data are taken from news story and editorial texts of four newspaper publications, namely the daily Kompas, Republika, Waspada and Sinar Indonesia Baru (SIB). The four daily newspapers are assumed to represent national and provincial or local newspapers. Each of the newspapers is represented by seven headlines for news story texts and seven leading articles for editorial texts. The data are analyzed by using interactive model in which the clause complexes are analyzed with reference to systemic functional linguistic (SFL) theory about projection. The findings indicate that there are similarities and diffrences with reference to the realizations of projetion in the news story and editorial texts of Indonesian newspapers. Keywords: Projection, News Story, Editorial, Newspaper, Systemic Functional Linguistic

INTERTEXTUALITY REALIZATION IN SARI MATUA CEREMONY

ABSTRACTThis study aims to describe the realization of intertextuality occurences in sari matua ceremony. This research is conducted qualitatively by applying technique analysis of Bazerman. The data are utterances which delivered by the speakers in the ceremony and transcribed into transcription. Sari Matua is one kind of death ceremony in batak toba culture and has been studied in other particular field of study. In this study, intertextuality occurrence are studied on oral discourse in Sari matua batak toba ceremony. Sari matua batak toba ceremony consisted of two sessions which are Martonggo Raja and main ceremony and this study focuses on these two sessions. The result of this study shows that there were 50 specific data found from 82 specific data which included kinds of intertextuality namely qutotation, reference, and allusion. The realization of intertextuality occurences in sari matua Batak Toba ceremony is realized by some elements of intertextuality itself. The realization Quotation is identified through the presence of lexical expressions such as mandok, manungkun, hatahononku, di dok, pinasihat. Reference is identified by seeing clause which reflected to, re-contextualized to dan re-accentuated to. Allusion is identified by clause complex which referring the text to literature, historical art, story, person even place. The intertextuality occurences realized in sari matua Batak Toba ceremony because the text which quoted, referred to and alluded to from the past time can be reflected in ourlives in the present time. Key words: Intertextuality, Oral Discourse, Batak Toba Ceremony, Sari Matua

Rhetorical Structure of The News Story and Implication for Language Teaching

This study tried to investigate the application of the Rhetorical Structure Theory (RST) in analyzing the relationships between the markers used in the four texts and identify the types of the marker relationship and their functions in the whole clauses. It found out that RST operated with highly generalized Rhetorical Relations, such as elaboration, sequence, and motivation; it was intended to be applicable across a variety of different registers. Based on the analysis of texts 1-4, it was also found that the texts apply four types of elements of a clause complex covering elaboration, enhancement, projection, and extension. These findings are in line with the logical meaning which functions to realize its existence and application in some forms of news stories being analyzed. Therefore, teaching of Grammar and Writing Subjects should involve the process of discourse development and news stories so that students will enhance and update their knowledge and improve their understanding.

The Language of COVID-19: A Theme-Rheme Analysis of the Health Awareness Campaigns

The paper investigates the thematic patterns of health awareness campaigns made during the COVID-19 pandemic. The aim is to scrutinize the types of themes used in such prosocial advertisements by analyzing the theme placement and the elements inside those themes. COVID-19 was declared a global pandemic in 2020 due to which health organizations proceeded to spread warnings and health awareness campaigns. In these circumstances, the language of these campaigns played a significant role in delivering the message to the people. In total, 75 posts were taken from official Instagram accounts of the World Health Organization (WHO) and the Centre for Disease Control (CDC) between March 21st, 2020 and June 21st, 2020. In this mixed-method study, a quantitative method has been used to obtain the ratio of unmarked and marked themes present in the data, which are further analysed qualitatively with Halliday’s (1994) theme-rheme model. We found that the majority of the clauses use unmarked themes, while marked themes are not as frequent. Through the preference of simple Theme over multiple Theme, complex language structure (clause-complex) has been avoided. This shows the awareness of respective organizations regarding the critical role language plays in influencing the audience, especially during a global health crisis.

External and Internal Conjunctions in the News Story Text of the Jakarta Post

This study was investigated external and internal conjunctions in the news story text of the Jakarta Post based on Systemic Functional Linguistics Approach. The objective of this study was to describe the realization of external and internal conjunctions. The research was conducted by using qualitative design. The data of this research were clause complex of external and internal conjunctions in the news text the Jakarta Post. The data were taken from website official Jakarta Post https://www.thejakartapost.com/. The data were collected by documentary technique. The technique of data analysis applied interactive model technique by Miles, Huberman and Saldana (2014). The findings showed external and internal conjunctions describes in clause complex news text used to clause complex have several clauses consist of independent clause is an equal (paratactic) and clause complex have several clauses consist of independent clause relate with dependent clause is an unequal (hypotactic). Keywords: External Conjunction, Internal Conjunctions, News Text

LOGICO SEMANTIC RELATION ANALYSIS OF CLAUSE COMPLEX IN CNN NEWS

This study deals with Logico Semantic Relation in CNN News text. The objectives of this study is to discover the types of Logico Semantic Relation of Clause Complex Used in CNN News and to know the dominant type of logical semantic systems interpreted in CNN News. The researcher applied qualitative approach and used content analysis design. The technique of collecting data was documentation. The data of the research was Logico Semantic Relation meanwhile the news text of CNN was as the data source of the research. The data were analyzed by data reduction, data display, and conclusion drawing/verification. The findings showed that (1) The types of Logico Semantic Relation used in the five news texts of CNN were Expansion (Elaboration, Enhancement, and Extension) and Projection (Locution). The total number of Logico Semantic Relation was 201 or 100% which consisted of 153 items or 76,10% of expansion and 48 items or 23,90% of projection. (2) Expansion (Elaboration) was the most dominant type among all kinds of Logico Semantic Relation which appeared in 92 times or 45,80%. The second rank was projection (locution) that was 48 times or 23,90%. The third position was expansion (Enhancement) which occurred 33 times or 16,40%. Meanwhile, Expansion (Extension) appeared 28 times or 13,90%, and the last one was projection (idea), which had no percentage (0 times or 0.00%). The researcher concludes that there are two types of Logico Semantic Relation used in the CNN news text, those are Expansion (Elaboration, Enhancement, and Extension) and Projection (Locution). The most dominant type of Logico Semantic Relation that appears in the text is Expansion (Elaboration).