Logico Semantic Relation Analysis of Clause Complex Based On SFL in CNN News

Noviandari, Niken Sri (2019) Logico Semantic Relation Analysis of Clause Complex Based On SFL in CNN News. Undergraduate (S1) thesis, IAIN Ponorogo.

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Abstract

ABSTRACT
Noviandari, Niken Sri. 2019. Logico Semantic Relation Analysis of Clause Complex Based on SFL in CNN News. Thesis. English Education Department, Faculty of Teaching and Education, Ponorogo State Institute of Islamic Studies (IAIN Ponorogo). Advisor: Dr. Dolar Yuwono, M.Pd.

Keywords : CNN News, Clause complex, logico-semantic relation

English consists of four language skills, those are writing, reading, speaking, and listening which must be mastered by students. In Indonesia, English language teaching concerns with text or genre. Consequently, it is important to apply SFL (Systemic Functional Linguistic) in constructing a sentence or writing a text. Due to the case, the researcher is interested to conduct a research in analyzing Logico Semantic Relation. 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 research of the study revealed 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 occured 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).

Item Type: Thesis (Undergraduate (S1))
Thesis Supervisor: Dolar Yuwono
Subjects: 13 EDUCATION > 1399 Other Education > 139999 Education not elsewhere classified
Divisions: Fakultas Ilmu Tarbiyah dan Keguruan > Jurusan Tadris Bahasa Inggris
Depositing User: Mr Perpustakaan IAIN Ponorogo
Date Deposited: 16 Aug 2019 06:44
Last Modified: 16 Aug 2019 06:58
URI: http://etheses.iainponorogo.ac.id/id/eprint/7183

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