MELANI, MELANI (2023) Analisis Campur Kode pada Kanal YouTobe @Satu Persen Podcast Obrolan Gen 'Z' Edisi Agutus 2022. S1 thesis, UNIVERSITAS SULTAN AGENG TIRTAYASA.
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Abstract
The aim of this research is to analyze and describe form code mixing and factors that cause code mixing on YouTube channels @Satu Persen Podcast. The method used in this research is descriptive qualitative with data collection methods and techniques in the form of listening and note-taking techniques. The data source used in this research is video podcast on the YouTobe channel @Satu Persen Podcast Chat Gen 'Z' edition August 2022. The results of this research found 85 data in the form of code mixing, namely 41 data in the form of code mixing in the form of words with details, mixed code words objects (nouns) totaling 21 data, (2) Category verbs (verbs) totaling 8 data (3) 10 categories of adjectives, (4) Adverb categories (adverbs) as many as 5 words and (5) categories of pronouns as many as 1 data. The form of mixing the baster code is 11 data which is divided into 6 part. code mixing in the form of idioms/phrases found 2 data. Code mixing in the form of repetition of 2 words of data. Code mixing takes the form of phrases 26 data were found. code mixing in the form of clauses found 2 data. Found Factors causing code mixing were found to include (1) Usage more popular terms (2) Speaker and speaker's personality (3) Interlocutor (4) Topic (5) Function and purpose of speech (6) Variety and level of speech (7) The presence of a third speaker (8) to share a sense of humor (9) for prestige mere. This happens because the speakers in the podcast know a lot and use english terms to convey knowledge according to the topic discussed in the podcast. This is what provides a great opportunity for speakers to mix codes by inserting english terms into Indonesian speech.
Item Type: | Thesis (S1) | |||||||||
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Additional Information: | Tujuan penelitian ini adalah untuk menganalisis dan mendeskripsikan wujud campur kode dan faktor-faktor penyebab campur kode pada kanal YouTobe @Satu Persen Podcast. Metode yang digunakan dalam penelitian ini adalah kualitatif deskriptif dengan metode dan teknik pengumpulan data berupa simak dan teknik catat. Sumber data yang digunakan dalam penelitian ini adalah video podcast pada kanal YouTobe @Satu Persen Podcast Obrolan Gen „Z‟ edisi Agutus 2022. Hasil dari penelitian ini ditemukan 85 data wujud campur kode, yaitu 45 data wujud campur kode berupa kata dengan rincian, campur kode kata benda (nomina) sebanyak 21 data, (2) Kategori kata kerja (verba) sebanyak 8 data (3) Kategori kata sifat (adjektiva) sebanyak 10 data, (4) Kategori kata keterangan (adverbia ) sebanyak 5 kata dan (5) Kategori kata ganti (pronomina) sebanyak 1 data. Wujud campur kode baster sebanyak 11 data yang terbagi ke dalam 6 bagian. Selain itu ditemukan campur kode berwujud idiom/ungkapan ditemukan 1 data. campur kode berwujud idiom/ungkapan ditemukan 2 data. Campur kode berwujud perulangan kata sebanyak 2 data. Campur kode berwujud frasa ditemukan 26 data. campur kode berwujud klausa ditemukan 2 data. Ditemukan faktor-faktor penyebab campur kode ditemukan diantaranya (1) Penggunaan istilah yang lebih populer (2) Pembicara dan pribadi pembicara (3) Mitra bicara (4) Topik (5) Fungsi dan tujuan pembicaraan (6) Variasi dan tingkat bicara (7) Kehadiran pembicara ketiga (8) untuk membagikan rasa humor (9) untuk gengsi belaka. Hal tersebut terjadi, karena dari semua penutur pada podcast tersebut banyak mengenal dan menggunakan istilah-istilah bahasa Inggris pada bidang ilmu yang sesuai dengan topik yang dibahas pada podcast tersebut tiap sesinya. Hal tersebut memberi peluang besar bagi penutur untuk bercampur kode | |||||||||
Uncontrolled Keywords: | Keywords: forms of code mixing, factors causing code mixing Kata Kunci: Wujud campur kode, faktor penyebab campur kode | |||||||||
Subjects: | P Language and Literature > P Philology. Linguistics | |||||||||
Divisions: | 02-Fakultas Keguruan dan Ilmu Pendidikan | |||||||||
Depositing User: | Melani Melani | |||||||||
Date Deposited: | 07 Dec 2023 11:00 | |||||||||
Last Modified: | 07 Dec 2023 11:00 | |||||||||
URI: | http://eprints.untirta.ac.id/id/eprint/31178 |
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