UMM Institutional Repository

ANALISIS GAYA BAHASA SINDIRAN DALAM AKUN TWITTER USTADZ TENGKU ZULKARNAIN

Irfan, Moh Fatih (2019) ANALISIS GAYA BAHASA SINDIRAN DALAM AKUN TWITTER USTADZ TENGKU ZULKARNAIN. Undergraduate (S1) thesis, University of Muhammadiyah Malang.

[img]
Preview
Text
PENDAHULUAN fix.pdf

Download (2MB) | Preview
[img]
Preview
Text
BAB 1 fix.pdf

Download (412kB) | Preview
[img]
Preview
Text
BAB 2 fix.pdf

Download (281kB) | Preview
[img] Text
BAB 3 fix.pdf
Restricted to Registered users only

Download (281kB) | Request a copy
[img] Text
BAB 4 fix.pdf
Restricted to Registered users only

Download (331kB) | Request a copy
[img] Text
BAB 5 fix.pdf
Restricted to Registered users only

Download (143kB) | Request a copy
[img] Text
LAMPIRAN fix.pdf
Restricted to Registered users only

Download (817kB) | Request a copy

Abstract

The use of social media is very easy to reach by all society groups. There are a lot of social media types; twitter is one of the examples. The use of twitter is considered effectively to express individual’s opinion to the public. However, there are some language styles used in Twitter such as innuendo language. For example at @ustadtadtengkuzul Twitter account. He frequently uses innuendo language style to express his opinion about the government condition. It helps the societies easier to understand the up to date condition of the government. Hence, the problems’ statement of this study are: (1) how is the innuendo language style at Tengku Zulkarnain’s Twitter account, (2) what is the function of innuendo language style at Tengku Zulkarnain’s Twitter account. The descriptive method was applied in this study. It leaded to the descriptive data in a form of words or sentences. In addition, the data source of this study was @ustadtengkuzul Twitter account. The researcher took a screenshot of the phrase or sentence in a content or status which showed a language form. Furthermore, the techniques which applied in this study were: (1) data collection, (2) data simplification, (3) data presentation, and (4) making a conclusion. The finding of this study showed that (1) There were five innuendo language styles at Tengku Zulkarnain’s Twitter account. Firstly, ironi language style; to express the different intention of his opinion. Secondly, sinisme language style; His doubt feeling that leaded to mock someone’s sincerity. Thirdly, sarkasme language style; the used of innuendo language that involved doubt feeling. Fourthly, satire language style; laugh at someone’s condition which aimed to fix the condition. Lastly, innuide language style; the innuendo language style which understated the real condition. (2) There were tree innuendo language styles functions at Tengku Zulkarnain’s Twitter account. Firstly, influence function; the opinion included an invitation or influence. Secondly, created a particular heart condition; the function that was used in innuendo language to create good or bad feeling of the reader. Finally, stronger the opinion effect by using the similarity and comparison in expressing the opinion. It aimed to make the opinion looked good and created truth effect of it.

Item Type: Thesis (Undergraduate (S1))
Student ID: 201510080311142
Thesis Advisors: Daroe Iswatiningsih (0025086502), Hari Windu Asrini (0004116502)
Keywords: Innuendo Language Style, Innuendo Language Function, Descriptive Analysis
Subjects: L Education > L Education (General)
L Education > LB Theory and practice of education
P Language and Literature > PN Literature (General)
Divisions: Faculty of Teacher Training and Education > Department of Indonesia Language and Literature Education (88201)
Depositing User: 201510080311142
Date Deposited: 21 Nov 2019 09:31
Last Modified: 21 Nov 2019 09:31
URI : http://eprints.umm.ac.id/id/eprint/56429

Actions (login required)

View Item View Item
UMM Official

© 2008 UMM Library. All Rights Reserved.
Jl. Raya Tlogomas No 246 Malang East Java Indonesia - Phone +62341464318 ext. 150, 151 - Fax +62341464101
E-Mail : infopus[at]umm.ac.id - Website : http://lib.umm.ac.id - Online Catalog : http://laser.umm.ac.id - Repository : http://eprints.umm.ac.id

Web Analytics

UMM Institutional Repository is powered by :
EPrints Logo