Article Per Year (5 Year)
p-Index From 2021 - 2026
0
P-Index
This Author published in this journals
All Journal ELTR Journal
Retno Winarni
Independent Researcher
Arts Humanities Education Languange, Linguistic, Communication & Media Social Sciences

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
CODE-MIXING IN IKA NATASSA’S METROPOP NOVEL ANTOLOGI RASA Retno Winarni
ELTR Journal Vol. 2 No. 1 (2018)
Publisher : English Language Education Study Program Association (ELESPA) or Asosiasi Program Studi Pendidikan Bahasa Inggris (APSPBI), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37147/eltr.v2i1.94

Abstract

This study analyses the use of code-mixing as a communication strategy used in Ika Natassa’s metropop novel Antologi Rasa. Antologi Rasa is a best-selling metropop novel that depicts Indonesian urban lifestyle; it portrays the have and educated adults living in Jakarta. This paper seeks out the answer to the following questions: (1) What types of code-mixing are employed? and (2) What is the communicative function of code-mixing? The researcher collects the data from Chapter 1 of Antologi Rasa. The researcher only lists the dialogues found in Chapter 1 that contain code-mixing. After listing all data that contain code-mixing, the researcher categorizes each of the code-mixing based on the types of code-mixing based on Kachru’s theory (1982) and the communicative function of code-mixing according to Hoffmann’s theory (1991). The result of the research shows that in the first chapter of Antologi Rasa, there are 68 sentences that contain five types of code-mixing, namely Unit Insertion (50%), Unit Hybridization (1.47%), Sentence Insertion (29.41%), Idiom and Collocation Insertion (17.64%), and Reduplication (1.47%). The researcher also finds out the reasons of code-mixing found in Ika Natassa’s Antologi Rasa, namely talking about a particular topic (95.5%) and being emphatic about something (4.4%).
Co-Authors