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@thesis{thesis,
author={Sari Resfina Meilita},
title ={TREND OF CODE MIXING RESEARCHES IN SINTA-INDEXED JOURNALS ACROSS INDONESIA},
year={2023},
url={http://eprints.ummetro.ac.id/2678/},
abstract={ABSTRACT
Sari,Resfina Meilita.2023.Trend of Code Mixing Researchers in Sinta-Indexed
Journals Across Indonesia. An Undergraduate Thesis. English
Education Study Program, Teacher Training and Education Faculty.
Muhammadiyah University of Metro. Advisor: (1) Amirudin Latif,
M.Pd. (2) Yasmika Baihaqi, M.Pd.BI.
Key Words: Code Mixing, SINTA ? Indexed Journals
This research describes a study of trends in code-mixing studies in
Indonesia during 2015 ? 2022 to provide space for further researchers
who wish to research code-mixing. By using articles from SINTA-indexed
journals, this study aims to find (1) how much code mixing research is in
2015 ? 2022, (2) at what level of SINTA code mixing research be found,
(3) what types of code mixing are there? Most used in code mixing
research, (4) what are the subjects of code mixing research used from
2015 ? 2022, (5) what are the data sources used in code mixing research,
and (6) what are examples of code sentence mixing of any code mixing
research.
Qualitative descriptive is the method used in this study. The
instrument of this research is documentation, where all the articles that
have been found are then downloaded and analysed using the content
analysis method. From the use of these data analysis methods and
techniques, the research found that there were ten articles on codemixing
from 2015 ? 2022. The ten articles came from journals at SINTA
levels 2, 3, 4, and 5. The most common type of code-mixing mainly used
is intra-sentential. Subjects, objects, and data sources in code mixing
research are divided into two categories: public figures on social media
and students. An example of a sentence in code mixing research is
"Berpakaian fashionable dan bermerk". This research has a significant
impact on future researchers because this research has produced
findings that are useful in expanding knowledge and improving the quality
of thinking, especially in code-mixing. Most importantly, it is hoped that
what has been done will provide a better understanding for future
researchers. The researcher suggests that the types of code mixing found
the least, such as speech articulation, element insertion, and idiom
insertion, should be studied more by other researchers.}
}