An Analysis of Code-Mixing Usage in WhatsApp Groups Conversation among Lecturers of Universitas Pamulang

This study was aimed to find out the kinds of code-mixing used by lecturers from some departments and the factors of using code mixing. This study was a descriptive qualitative analysis that attempted to describe the kinds of code-mixing and the factors. The participants of this study were lecturer...

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Autores principales:	Haryati Haryati, Ratu Prayuana
Formato:	article
Lenguaje:	EN
Publicado:	Universitas Cokroaminoto Palopo 2020
Materias:	code-mixing WhatsApp groups lecturers’ interaction Language and Literature P
Acceso en línea:	https://doaj.org/article/0c735886da0f4d8c87a5564915108767
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spelling	oai:doaj.org-article:0c735886da0f4d8c87a55649151087672021-12-01T19:20:33ZAn Analysis of Code-Mixing Usage in WhatsApp Groups Conversation among Lecturers of Universitas Pamulang10.30605/25409190.1802355-34482540-9190https://doaj.org/article/0c735886da0f4d8c87a55649151087672020-10-01T00:00:00Zhttps://ethicallingua.org/25409190/article/view/180https://doaj.org/toc/2355-3448https://doaj.org/toc/2540-9190 This study was aimed to find out the kinds of code-mixing used by lecturers from some departments and the factors of using code mixing. This study was a descriptive qualitative analysis that attempted to describe the kinds of code-mixing and the factors. The participants of this study were lecturers from 4 different groups of Universitas Pamulang. The participants were selected based on the purposive sampling in order to support the research finding. The data were taken from questionnaire and observation on WhatsApp groups to seek the factors and to classify the types of code-mixing. As the results, the writers found the group of Pelatih TOEFL produced 15 congruent lexicalization, 4 insertion and 0 alternation. The group of Penelitian Internal Unpam produced 15 congruent lexicalization, 6 insertion and 2 alternation. The group of Sastra Unpam produced 9 congruent lexicalization, 10 insertion and 5 alternation. The group of Prodi Sasing produced 17 congruent lexicalization, 3 insertion and 5 alternation. In addition, the distribution of questionnaire resulted the factors of applying code-mixing on all WhatsApp groups. Bilingualism (38%), speaker and interlocutor (4%), situation (5%), vocabulary (46%) and prestige (8%) are the factors found in Pelatih dan Pengawas TOEFL group. Bilingualism (21%), speaker and interlocutor (11.11%), situation (22%), vocabulary (38%) and prestige (8%) are the factors found in Peenelitian Internal Unpam group. Bilingualism (48%), speaker and interlocutor (5%), situation (13%), vocabulary (34%) and prestige (0%) are the factors found in Sastra Unpam group. Bilingualism (55%), speaker and interlocutor (5%), situation (7%), vocabulary 67%) and prestige (12%) are the factors found in Sastra Unpam group. Haryati HaryatiRatu PrayuanaUniversitas Cokroaminoto Palopoarticlecode-mixingWhatsApp groupslecturers’ interactionLanguage and LiteraturePENEthical Lingua: Journal of Language Teaching and Literature, Vol 7, Iss 2 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	code-mixing WhatsApp groups lecturers’ interaction Language and Literature P
spellingShingle	code-mixing WhatsApp groups lecturers’ interaction Language and Literature P Haryati Haryati Ratu Prayuana An Analysis of Code-Mixing Usage in WhatsApp Groups Conversation among Lecturers of Universitas Pamulang
description	This study was aimed to find out the kinds of code-mixing used by lecturers from some departments and the factors of using code mixing. This study was a descriptive qualitative analysis that attempted to describe the kinds of code-mixing and the factors. The participants of this study were lecturers from 4 different groups of Universitas Pamulang. The participants were selected based on the purposive sampling in order to support the research finding. The data were taken from questionnaire and observation on WhatsApp groups to seek the factors and to classify the types of code-mixing. As the results, the writers found the group of Pelatih TOEFL produced 15 congruent lexicalization, 4 insertion and 0 alternation. The group of Penelitian Internal Unpam produced 15 congruent lexicalization, 6 insertion and 2 alternation. The group of Sastra Unpam produced 9 congruent lexicalization, 10 insertion and 5 alternation. The group of Prodi Sasing produced 17 congruent lexicalization, 3 insertion and 5 alternation. In addition, the distribution of questionnaire resulted the factors of applying code-mixing on all WhatsApp groups. Bilingualism (38%), speaker and interlocutor (4%), situation (5%), vocabulary (46%) and prestige (8%) are the factors found in Pelatih dan Pengawas TOEFL group. Bilingualism (21%), speaker and interlocutor (11.11%), situation (22%), vocabulary (38%) and prestige (8%) are the factors found in Peenelitian Internal Unpam group. Bilingualism (48%), speaker and interlocutor (5%), situation (13%), vocabulary (34%) and prestige (0%) are the factors found in Sastra Unpam group. Bilingualism (55%), speaker and interlocutor (5%), situation (7%), vocabulary 67%) and prestige (12%) are the factors found in Sastra Unpam group.
format	article
author	Haryati Haryati Ratu Prayuana
author_facet	Haryati Haryati Ratu Prayuana
author_sort	Haryati Haryati
title	An Analysis of Code-Mixing Usage in WhatsApp Groups Conversation among Lecturers of Universitas Pamulang
title_short	An Analysis of Code-Mixing Usage in WhatsApp Groups Conversation among Lecturers of Universitas Pamulang
title_full	An Analysis of Code-Mixing Usage in WhatsApp Groups Conversation among Lecturers of Universitas Pamulang
title_fullStr	An Analysis of Code-Mixing Usage in WhatsApp Groups Conversation among Lecturers of Universitas Pamulang
title_full_unstemmed	An Analysis of Code-Mixing Usage in WhatsApp Groups Conversation among Lecturers of Universitas Pamulang
title_sort	analysis of code-mixing usage in whatsapp groups conversation among lecturers of universitas pamulang
publisher	Universitas Cokroaminoto Palopo
publishDate	2020
url	https://doaj.org/article/0c735886da0f4d8c87a5564915108767
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An Analysis of Code-Mixing Usage in WhatsApp Groups Conversation among Lecturers of Universitas Pamulang

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