cover
Contact Name
Faizal Risdianto
Contact Email
faizrisd@gmail.com
Phone
+6285642019501
Journal Mail Official
jolcc2023@gmail.com
Editorial Address
Jl. Sapen - Jati No.3, Ngiri, Jati, Kec. Jaten, Kabupaten Sukoharjo, Central Java, Indonesia 57554
Location
Kab. sukoharjo,
Jawa tengah
INDONESIA
Journal of Linguistics, Culture and Communication
Published by CV RUSTAM
ISSN : -     EISSN : 29881641     DOI : https://doi.org/10.61320/jolcc.v1i2.91-99
The peer-reviewed Indonesian Journal of Linguistics, Culture, and Communication publishes high-quality original research focusing on publishing articles that contribute to the ongoing discussion in all areas of the study of Linguistics, Culture, and Communication. The Journal of Linguistics, Culture, and Communication is a peer-reviewed journal that publishes theoretically essential topics in linguistics, culture, and communication research. It offers a venue for researchers dedicated to systematic and thorough study from various theoretical backgrounds and areas of interest. All theoretical frameworks can contribute but should be directed to a broad audience. To make their work accessible to scholars from various fields, they should be clear about their assumptions and discovery processes and give enough academic background.
Arjuna Subject : Umum - Umum
Articles 5 Documents
Search results for , issue "Vol 1 No 2 (2023): Journal of Linguistics, Culture, and Communication" : 5 Documents clear
YouTube Transcripts Word Frequency Measure Vincent Smith; Michael Garrett; Austin Harwood; James Shamblin
Journal of linguistics, culture and communication Vol 1 No 2 (2023): Journal of Linguistics, Culture, and Communication
Publisher : CV. Rustam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61320/jolcc.v1i2.91-99

Abstract

Many YouTube videos provide written audio transcripts which provide information on the language used on YouTube. One important measure relating to language usage is word frequency. Using student-developed software and libraries in R, Python, and Microsoft Excel, the transcripts of one million YouTube videos from the YouTube-8M data set were scraped and analyzed. The word frequency of the YouTube data set was shown to correlate with commonly used word frequency measures from established studies, such as the subtitle word frequency and the HAL word frequency.
An Analysis of Speech Act in the Movie "Turning Red" Hasyifa Diffani; Adhan Kholis
Journal of linguistics, culture and communication Vol 1 No 2 (2023): Journal of Linguistics, Culture, and Communication
Publisher : CV. Rustam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61320/jolcc.v1i2.100-115

Abstract

A movie consists of a dialogue between its characters. Both the speaker and the listener use many different kinds of utterances. In communication, we use utterances in action, also known as speech actions. This research aimed to determine the types of speech acts performed by the characters and determine the function of the speech acts performed by the characters in Turning Red's movie. A movie can deliver a message to the audience as one form of communication. It contains a variety of genres, making it an interesting topic to be a research. In this case, understanding speech act theory becomes essential for solving the issue. Speech acts are things that can be accomplished through speech. There are three types of speech acts: locutionary, illocutionary, and perlocutionary. The movie has been chosen since it is a children's genre movie representative of Asian parenting style and leaves the deepest messages to children. The data were taken directly from the movie dialogue, focusing on the speech acts uttered by the characters and the context of the occurrence of the utterance. In collecting the data, the researchers transcribed the data comprehensively, which were analyzed using content analysis on the movie Turning Red. The researchers analyzed some illocutionary acts in the movie conversation. The data was divided into five types: directive, representative, declarative, commissive, and expressive. Teachers can create relevant and engaging learning experiences that build pragmatic competence and improve students' communicative skills by adding actual speech acts from movies into language lessons. It helps to understand how movies can be used as valuable instruments in English language teaching, especially in the development of language acquisition.
Having Good Moral Values Through "Never Say Never" Song by Justin Bieber Yuli Rohmiyati; Nazwa Sabrina Fatihah; Putri Solihatunnisa
Journal of linguistics, culture and communication Vol 1 No 2 (2023): Journal of Linguistics, Culture, and Communication
Publisher : CV. Rustam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61320/jolcc.v1i2.116-125

Abstract

The lyrics emphasize the importance of determination and having a positive mindset to overcome obstacles. This research paper analyzes the moral values present in the song "Never Say Never” by  Justin Bieber. The study aims to explore the moral values conveyed in the song lyrics. This research used a qualitative approach to analyze this song lyric. The data was analyzed by identifying, classifying, and interpreting the moral values. The findings of research found that three main moral values in the song: self-belief (57,14%), positivity (21,42%), and optimism (21,42%). The dominant moral value identified was self-belief, followed by positivity and optimism. These moral values can make students inspiring, provide them positive energy, and enable them to carry out worthwhile activities into education and personal development
Contrastive Analysis Between English Medical Terms with Affixes and Their Indonesian Equivalent in Dorland’s Illustrated Medical Dictionary Nur Indah Sulistyowati Lutfiyah; Jumanto Jumanto
Journal of linguistics, culture and communication Vol 1 No 2 (2023): Journal of Linguistics, Culture, and Communication
Publisher : CV. Rustam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61320/jolcc.v1i2.126-140

Abstract

Medical terms are language units used to describe medical conditions such as diseases, symptoms, anatomy, and procedures. Medical terms are composed of a combination of affixes and root words. This research focused on contrastive analysis, a study comparing two languages, the source language and their equivalent in the target language. This study aims (1) to find out similarities between English medical terms with affixes in English and their Indonesian equivalents in Dorland's Illustrated Medical Dictionary (2) to find out differences between English medical terms with affixes in English and their Indonesian equivalents in Dorland's Illustrated Medical Dictionary (3) to predict learning problems based on the differences between English medical terms with affixes in English and their Indonesian equivalents in Dorland's Illustrated Medical Dictionary. The data source of this research is "Dorland's Illustrated Medical Dictionary 31st edition" by W.A. Newman Dorland and translated into Indonesian under the title " Kamus Kedokteran Dorland Edisi 3" by Retna Neary Elseria et al. This research is qualitative, and the type of research is library research. The study's results revealed seven affix English medical terms that have similarities with Indonesian equivalents and 93 terms that differ from Indonesian equivalents. The similarities and differences are divided into prefixes and suffixes. There are 8 types of prefixes and 4 types of suffixes. Predictions of problems that may occur in these conditions are in different forms, uses, and meanings. This research is expected to help better understand affixes in English medical terms and their Indonesian equivalents. 
An Analysis of Representative Acts and Language Functions Represented on Code Mixing and Code Switching Used by Yuvi Phan in Her Instagram Reels Krismalika Cinta Della Hermaya; Winantu Kurnianingtyas Sri Agung
Journal of linguistics, culture and communication Vol 1 No 2 (2023): Journal of Linguistics, Culture, and Communication
Publisher : CV. Rustam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61320/jolcc.v1i2.141-161

Abstract

The research aims to analyze the types of representative acts and the types of language functions represented in code-mixing and code-switching that appear in Yuvi Phan's Instagram reels. This research was conducted in library research. So, qualitative research was used. The researcher utilized a transcript of Yuvi Phan Instagram reels as the data in this research. Data was gathered through documentation. After that, the data were analyzed through content analysis. The results presented that there were 25 data that were categorized into three types of representative acts represented on code switching and code mixing that were found in Yuvi Phan's Instragram reels. There were 14 data of assertions, 9 data of suggestions, and 2 data of statements. The second result presented that 25 data were categorized into three types of language functions of representative act represented on code switching and code mixing that were found in Yuvi Phan's Instragram reels. They were giving information, persuading people, and sharing opinions. There were 16 data on giving information, eight on persuading people, and one on sharing opinions. So, based on the explanation above, the researcher concluded that representative acts and language functions can coexist in utterances, as well as in code switch and code mix, and that representative acts and language functions can coexist in representative acts marked by words or phrases. Moreover, representative acts and language functions in Yuvi Phan's Instagram reels can be the reference as a media for the instructing educational experience.

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