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Buana Bastra
Article . 2023 . Peer-reviewed
License: CC BY NC SA
Data sources: Crossref
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TUTURAN YOUTUBER DALAM KONTEN KULINER: KAJIAN SOSIOLINGUISTIK

Authors: null Ira Eko Retnosari;

TUTURAN YOUTUBER DALAM KONTEN KULINER: KAJIAN SOSIOLINGUISTIK

Abstract

Penelitian ini bertujuan mendeskripsikan penggunaan campur kode dalam tuturan konten kuliner Budiono Sukses (BS) yang ditayangkan di dalam YouTube. Fokus penelitian ini adalah tuturan BS yang mengandung campur kode. Tujuan penelitian ini yaitu mendeskripsikan penggunaan campur kode pada konten kuliner BS. Sumber data penelitian ini adalah tuturan BS yang memiliki konten kuliner. Data penelitian ini adalah kata, frasa, dan kalimat yang mengandung campur kode. Prosedur pengumpulan data penelitian ini adalah (1) mengunduh konten dari YouTube, (2) menyimak konten, (3) mengidentifikasi konten, (4) mengklasifikasi konten, (5) mentranskripsi konten, (6) mengode data berdasarkan indikator. Teknik analisis data penelitian ini adalah deskriptif kualitatif. Berdasarkan analisis data, dapat disimpulkan bahwa tuturan BS mengandung campur kode ke dalam dan campur ke luar. Prosedur penganalisisan data penelitian ini adalah (1) menganalisis data, (2) menginterpretasi data, (3) menyimpulkan.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
hybrid