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All Journal RETORIKA: Jurnal Ilmu Bahasa Lingua Cultura KEMBARA IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature Indonesian Journal of English Language Studies (IJELS) Adi Widya : Jurnal Pengabdian Masyarakat Journal of Applied Studies in Language Jurnal Bahasa Lingua Scientia SPHOTA: Jurnal Linguistik dan Sastra English Language and Literature International Conference (ELLiC) Proceedings SOSHUM : Jurnal Sosial dan Humaniora [Journal of Social Sciences and Humanities] ELITE Journal: Journal of English Linguistics, Literature, and Education Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Apollo Project: Jurnal Ilmiah Program Studi Sastra Inggris Journal of Humanities, Social Science, Public Administration and Management (HUSOCPUMENT) Jurnal Pengabdian kepada Masyarakat ELLITE: Journal of Education, Linguistics, Literature and Language Teaching TRAVERSE - Journal of Language and Applied Linguistics Austronesian: Journal of Language Science & Literature SWARNA Jurnal Abdi Dharma Masyarakat Journal of Artificial Intelligence and Digital Business Elysian Journal : English Literature, Linguistics, and Translation Studies LOKATARA SARASWATI Journal of Language and Pragmatics Studies SPHOTA: Jurnal Linguistik dan Sastra Fakultas Bahasa Asing Universitas Mahasaraswati Denpasar Focus Journal Language Review SWARNA: Jurnal Pengabdian Kepada Masyarakat Litera : Jurnal Bahasa dan Sastra Lire Journal (Journal of Linguistics and Literature)
Ni Made Verayanti Utami
Universitas Mahasaraswati Denpasar
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences Other

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Comparative Figurative Language Found in Maya Angeluo Poems Jas, Paulinus; Candra, Komang Dian Puspita; Utami, Ni Made Verayanti
ELYSIAN JOURNAL : English Literature, Linguistics and Translation Studies Vol. 3 No. 1 (2023): Elysian Journal : English Literature, Linguistics, and Translation Studies
Publisher : Prodi Sastra Inggris Fakultas Bahasa Asing Universitas Mahasaraswati Denpasar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (295.553 KB) | DOI: 10.36733/elysian.v3i1.4678

Abstract

The objective of this study focus on types of comparative figurative language in the poem Maya Angeluo and their meaning. In resolving the problem of the study. The study for analyzed used the theory from Kennedy (1983), with the book entitled Literature: An introduction to Fiction : Poetry and Drama, and the theory of meaning ussed from Leech (1981), with the book entitled semantics : The study of Meaning. this study was used to describe the meaning of the types figurative language found in Maya Angeluo poems. This study used the data source from Maya Angeluo poems. Documentation method was used to collect data. This study used qualitative descriptive method has beed used to describe the data to analyzed the data, whereeas formal and informal method has been used to present the finding. There was found 21 data of types figurative language from 12 in poem Maya Angleuo. The meaning of those 21 comparative figurative language was describe useing the theory of Leech (1981). There was found two types of meaning were found from the data. They were affective meaning and connotative meaning. Keywords: figurative language, types, meaning, maya angeluo
Respect Value Found in Turning Red Movie aditya, Kadek Kenaka; Ni Made Verayanti Utami
ELYSIAN JOURNAL : English Literature, Linguistics and Translation Studies Vol. 3 No. 2 (2023): Elysian Journal: English Literature, Linguistics, and Translation Studies
Publisher : Prodi Sastra Inggris Fakultas Bahasa Asing Universitas Mahasaraswati Denpasar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36733/elysian.v3i2.4941

Abstract

This research focuses on Meilin 's feelings for self - expression and how Meilin respects her ancestors and parents. Meilin is the main character of the novel. It doesn't stop there; Mei is also an active child and excels in school. Mei is always obsessed with making her parents happy until she forgets her own happiness. She couldn't express herself the way she wanted to. However, after going through many events, Mei decided not to hold back anymore. Mei then tried to be more honest with herself, unfortunately it had some effect on her. This is the background of this research by describing the respect that is shown by Meilin towards parents and ancestors qualitatively. The method used in to conduct this study is by observing combined with note-taking techniques. The first step of this research is to watch this film and read the script, after that record every sentence that contains moral values and record how the main character describes these moral values. Moral value of respect was examined using the theory proposed by Linda and Eyre (1993) in their book Teaching Your Children Values. Based on the classification results, the study analyses conversations that contain moral values of respect. shown by the antagonist and protagonist characters in a dialogue
A Study on Development of Main Character and Characterization in “Bohemian Rhapsody” Movie Sardiana, Gerdi Kafi Lole; Ni Made Verayanti Utami; Ni Nyoman Deni Ariyaningsih
ELYSIAN JOURNAL : English Literature, Linguistics and Translation Studies Vol. 4 No. 1 (2024): Elysian Journal: English Literature, Linguistics, and Translation Studies
Publisher : Prodi Sastra Inggris Fakultas Bahasa Asing Universitas Mahasaraswati Denpasar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36733/elysian.v4i1.8633

Abstract

There are two objectives of the study the first one is to identify the main character development in the “Bohemian Rhapsody” movie. the second is to analyze characterization of the main character in “Bohemian Rhapsody” movie. The data of this study were taken from the movie entitled Bohemian Rhapsody. The data source in this study was take from the movie in the movie was analyzed descriptively based on the theory How To Analize Fiction proposed by William Kenney (1956). The main character development was analyzed into two categorizes which is simple(flat) character and complex(round) characters. The characterization of the main character was analyzed into three categorize which is physiological, sociological, and psychological dimension of the main characterization. The characterization of Freddie Mercury over all is that he is a kind person, humble, gentle and romantic person but in the middle of the story he changed into a bad person, ego and unfriendly person which make him a complex(round) character.
Unveiling Semantic Errors Found in Lexical Translations of Tasya Farasya’s Tiktok Account Utami, Ni Putu Laksmi Dewi; Utami, Ni Made Verayanti
Lingua Cultura Vol. 17 No. 2 (2023): Lingua Cultura
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/lc.v17i2.10435

Abstract

The research observed the semantic errors in lexis that occurred in the translation by TikTok machine translation. It became the main issue in translation studies because the accuracy of translation produced by machine translation was still questionable and debatable. The research aimed to identify the types of semantic error in lexis made by TikTok auto machine translation found in Tasya Farasya TikTok’s account and suggested a more appropriate translation. The research applied a descriptive qualitative method to analyze the error in translation produced by TikTok machine translation. The theory proposed by Sayogie (2014) was used to classify the data based on semantic aspects: grammatical meaning, contextual meaning, and referential meaning. The research results show that three types of errors are found, and the most frequent error found is an error in contextual meaning. TikTok machine translation is incapable of translating accurately because it does not know the context of the situation and translates it literally. Based on research findings, TikTok users cannot entirely rely on machine translation because it still has weaknesses in translating several terms. Thus, it is highly important that TikTok should evaluate and improve the quality of the machine translation.
Linguistic Landscape of Malukat Temple in Gianyar, Bali: Analysis on Public Signage Pendit, Ni Putu Meri Dewi; Afriliani; Utami, Ni Made Verayanti
KEMBARA: Jurnal Keilmuan Bahasa, Sastra, dan Pengajarannya Vol. 10 No. 1 (2024): April
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kembara.v10i1.32669

Abstract

One intriguing aspect in linguistic studies is linguistic landscape, which encompasses the use of language in public spaces. This research aims to delineate the syntactic characteristics of information boards within self-cleaning temples (Malukat) situated in Gianyar, Bali. Furthermore, it investigates the function of the bilingual information boards' (Indonesian and English). The study employs a qualitative method to elucidate the syntactic scopes and semantic functions found in the informational boards. The analysis draws from landscape linguistics theory by Yendra and Artawa (2020) and incorporates micro-linguistics theories, including Noortyani's (2017) syntactic scope theory, Landry and Bourhis (1997) linguistic landscape theory, and Nida's (2000) translation equivalence theory. Findings reveal that temple information boards exhibit diverse syntactic scopes, predominantly in the form of sentences, as they convey detailed and comprehensible information to visitors. The semiotic function employed in public space signboards predominantly features informational and symbolic functions, contributing to the overall linguistic landscape of the temple environment. The research concludes the fact that the dynamic relationship between language, culture, and public spaces, emphasizing the need for a nuanced approach to linguistic analysis in diverse environments.
PENGEMBANGAN PENDIDIKAN BERKARAKTER DI SD SARASWATI 1 DENPASAR MELALUI SINERGI BUDAYA: KOLABORASI PENGABDIAN INTERNASIONAL ANTARA UNIVERSITAS MAHASARASWATI DENPASAR DAN SHITENNOJI UNIVERSITY Utami, Ni Made Verayanti; Meilantari, Ni Luh Gede; Widiastika, I Wayan Wahyu Cipta
Jurnal Abdi Dharma Masyarakat (JADMA) Vol. 5 No. 2 (2024): Oktober 2024
Publisher : LPPM Universitas Mahasaraswati Denpasar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36733/jadma.v5i2.9916

Abstract

Program pengabdian kepada masyarakat ini bertujuan untuk memperkuat pendidikan karakter di SD Saraswati 1 Denpasar melalui sinergi buday dan kolaborasi dengan mahasiswa dari Shittenoji University, Jepang. Mengingat pentingnya pendidikan karakter dalam perkembangan anak, program ini mengintegrasikan metode observasi, edukasi, dan pelatihan kepada siswa, guru, serta orang tua. Melalui serangkaian kegiatan, termasuk pelibatan orang tua, pelatihan untuk guru, dan kegiatan ekstrakurikuler berbasis karakter, program ini bertujuan untuk membangun kesadaran dan tanggung jawab bersama dalam mendidik generasi penerus. Hasil dari program ini menunjukkan peningkatan yang signifikan dalam perilaku siswa, serta peningkatan keterlibatan orang tua dan komunitas dalam pendidikan karakter. Evaluasi yang dilakukan secara berkala membuktikan efektivitas pendekatan yang diambil, sehingga program ini diharapkan dapat berlanjut dan menjadi model bagi sekolah lain. Dengan melibatkan berbagai pihak, program ini tidak hanya memperkuat pendidikan karakter, tetapi juga menciptakan sinergi antara sekolah, keluarga, dan masyarakat.
Flavorful Words: The Analysis of Linguistic Landscape on Restaurant Menus in Pererenan and Canggu Setiari, Ni Kadek Ayu Wulan; Utami, Ni Made Verayanti
Lingua Cultura Vol. 18 No. 2 (2024): Lingua Cultura (In Press)
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/lc.v18i2.12193

Abstract

The research aimed to determine the linguistic landscape, especially the menu lists displayed by restaurants around Pererenan and Canggu, and to explain the linguistic patterns and trends in restaurant menu names, including using one or more languages. The research used a descriptive qualitative method with analysis of language code types using the theory of Landry and Bourhis, who analyzed the form of language code types in the linguistic landscape. The approach used was mixed, which included primary and secondary data collection methods. Primary data were collected through direct observation and field research involving a comprehensive survey of all restaurant businesses around Pererenan and Canggu. The findings show that there are many restaurant menu names that use a mixture of Bahasa and English, as from the data on restaurant menu names in Parerenan district are Kunyit Asam Tonic, Lettuce Bakar, Sate Platter, Ice Roti, King Kelapa, and restaurant menu names from Canggu are Madu Iced Tea, Toast Manis, Nelayan Energy, Pepes Ikan Indonesia, etc. Thus, there are 27 restaurant menu lists in Parerenan and Canggu. This restaurant menu lists uses a mixture of local and international languages. There are also restaurant menus that use a mixture of regional languages (Balinese) and English. Combining these two languages is a good strategy for restaurants to attract customers.
ChatGPT Translation Product Analysis in 'The Little Mermaid' Utami, Ni Made Verayanti
Lingua Cultura Vol. 18 No. 2 (2024): Lingua Cultura (In Press)
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to analyze the translation techniques used in the translation of the movie “The Little Mermaid” (2023) from English to Indonesian by ChatGPT. This research method uses a direct observation approach by collecting data from the Scraps From The Loft website, translating the text of the movie “The Little Mermaid” (2023) from English to Indonesian by using ChatGPT, and analyzing it through translation theory and thematic categories to see the accuracy and effectiveness of the translation. The data were collected from the movie dialog excerpts and their translations provided by ChatGPT. The analysis used the translation techniques proposed by Vinay and Darbelnet (2000), which include techniques such as borrowing, calque, literal translation, transposition, modulation, equivalence, and adaptation. The findings of this study show a diverse application of translation techniques, with the use of literal translation (48%), modulation, and adaptation (15%). Literal translation is often used due to its simplicity and straightforwardness, while modulation is used to adapt the translation to the nuances of Indonesian culture and language. In addition, adaptation was also noted especially in translating cultural references and idiomatic expressions to maintain the original meaning and context. The study concludes that ChatGPT effectively utilizes various translation techniques to produce coherent and coherent translations.
An Analysis of Translation Techniques Found in "Wish" Movie Desak Made Indah Fitriawati; Ni Made Verayanti Utami
IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature Vol. 12 No. 2 (2024): IDEAS: Journal on English Language Teaching and Learning, Linguistics and Lite
Publisher : Institut Agama Islam Negeri Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24256/ideas.v12i2.5772

Abstract

The study entitled An Analysis of Translation Techniques Found In “Wish” Movie. The study aims to observe the types of translation techniques that are used and which types are dominant in this movie. The data were obtained by descriptive qualitative method and the data was analyzed based on the theory by Molina & Albir (2002). The researcher found adaptation (8,5%), amplification (0,5%), borrowing (2,6%), calque (1,3%), Compensation (0,1%), Established equivalent (0,7%), Generalization (0,8%), Linguistic compression (2,4%), Literal translation (74,4%), Modulation (1,7%), particularization (0,1%), reduction (6,1%), substitution (0,5%), transposition (0,1%), and variation (0,4%). Therefore, the dominant translation technique used in the movie "Wish" is literal translation. Literal translation is more likely to be used in subtitling because it keeps the original dialog faithful. Literal translation allows the audience to understand what was said in the source language.
FROM WORDS TO ERRORS: ANALYZING LEXICAL CHALLENGES IN INSTAGRAM'S MACHINE TRANSLATION OF 'NYTIMES’ Wiwekananda, I Putu Riky; Verayanti Utami, Ni Made
Lire Journal (Journal of Linguistics and Literature) Vol. 9 No. 1: Lire Journal (Journal of Linguistics and Literature)
Publisher : Elite Laboratory Jurusan Sastra Inggris Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/lire.v9i1.386

Abstract

In the current digital era, disseminating information via social media is very easy and quick, but this can also increase the spread of wrong and inaccurate information to the public caused by translation errors in automatic translations on social media. The main objectives of this research are 1. Identify the types of translation errors found in Instagram Machine Translation in Translating the Caption of the "NYTimes" Instagram Account. 2. search for the most dominant types of lexical errors made by Instagram Machine Translation in Translating the Caption of "NYTimes" Instagram Account. The theory of error classification by Vilar et al. (2006) is applied to identify three main types of errors: unknown words, missing words, and incorrect words. The research method involves analyzing 100 translated news captions. There are three types of Lexical Errors found in Instagram machine translation when translating captions from the NYTimes Instagram account (1) Incorrect Word (4 instances, 50%) (2) Omitted or Missing Word (2 instances, 25% (3) Unknown Word (2 instances, 25%). The most common type of error identified in the translations is the use of incorrect words, accounting for half of all errors. This indicates that the machine translation often fails to select the appropriate words to convey the original meaning effectively.
Co-Authors A A Ayu Istri Chuk Putri Larassati AA Sudharmawan, AA Abdul Wahab Adi Putra, Nyoman Canestra Adi, Ni Ketut Sri Atik Oktari Adiari, Ni Putu Yuana Jelita aditya, Kadek Kenaka Afriliani Afriliani Agnes M.D Rafael Anak Agung Ayu Istri Kumala Dewi Anak Agung Made Indrawati Andina, A.A. Diah Trisna Ardipa, I Putu Mahendra Chandra Ariyaningsih, Ni Nyoman Deni Beda, Raimundus Cahyani, Anak Agung Istri Regitha Cahyani, Ni Made Diah Deni Ariyaningsih, Ni Nyoman Desak Made Indah Fitriawati Desak Putu Eka Pratiwi Dewa Ayu Dian Utari Dewi, Ni Kadek Noviarianti Karisma Dewi, Ni Komang Trisa Dewi, Ni Nyoman Pipin Purnama Dian Pramita Sugiarti Dian Pramita Sugiarti Ewik Wiartati, Desak Made Falentina Jenita Mbeleng Florianus Ibar Gede Dharma Arya Wicaksana Gede Irwandika . I Dewa Ayu Devi Maharani Santika I Dewa Ayu Salsa Bila Ninda Pradevi I Gede Astena Largama Largama I Gede Suta Jaya Ambara I Gusti Agung Sri Rwa Jayantini I Gusti Agung Sri Rwa Jayantini3 I Gusti Ayu Vina Widiadnya Putri I Kadek Adi Sukrawan I Komang Sulatra I Komang Sulatra I Made Iwan Indrawan Jendra I Made Perdana Skolastika I Wayan Juniartha I Wayan Resen Ida Ayu Mela Tustiawati Ida Ayu Popy Wulandari Pratiwi Ida Ayu Putri Gita Ardiantari Ida Bagus Gde Nova Winarta Jas, Paulinus Kaa, Dewi Yanti Bangi Kadek Novi Krisna Dewi Kadek Rina Desiyana Putri Kendran, Ni Kadek Kendran Damayanti Kertayasa, I Wayan Kesumawati, Eni Ketut Endang Sri Utami Kevin Stephanus Komang Dian Puspita Candra Komang Dian Puspita Candra Komang Dian Puspita Candra, Komang Dian Puspita Langus , Natalia Levi, Gerensius Made Suarjana Maharani, Putu Devi Mery Kristiani Nadila, Ni Kadek Sinta Sri Nanda Putri, Ni Luh Nerdi, Margareta Satriana Ni Kadek Sinta Sri Nadila Ni Luh Gede Meilantari Ni Luh Vira Nitya Rini Ni Made Rai Desvita Sastra Dewi Ni Nyoman Anyarani Puspaningrum Ni Nyoman Deni Ariyaningsih Ni Nyoman Intan Airma Prawitri Ni Putu Diah Priska Ni Putu Meri Dewi Pendit Ni Putu Regina Pradnyamitha Ni Wayan Rai Sugiartini NI WAYAN SUASTINI NUR FITRIANI Oktarina Wisudayanti, Kadek Heni Orlando, Alexander Goldy Pascarini, Elsa Oktaviana Pebriyani, Ni Putu Rita Permana, I Putu Andri Pramudya Dyah Putranti Pujastuti, Ida Ayu Gayatri Putra, I Gusti Bagus Wahyu Nugraha Putri , Widiadnya Putu Desi Anggerina Hikmaharyanti Putu Devi Maharani Putu Devi Maharani PUTU YOHANA KERTIASIH Risweni Rolandi, Alexandro Sanjiwani, Ni Luh Putu Silvia Sardiana, Gerdi Kafi Lole Sari, Ni Putu Shintya Permata Selus, Libertus Sergius Kasma Setiari, Ni Kadek Ayu Wulan Sinarawerdhi, I Gst Ayu Intan Sri Cahyani, Ni Putu Sukma Sri Rwa Jayantini, I Gusti Agung Sugiantari, Ni Putu Anggi Sukrawan, I Kadek Adi System, Administrator Teja, Nova Surya Utami, Ni Putu Laksmi Dewi Vinsensia Nidi Wahyuni, Ni Komang Dila Candra Widiastika, I Wayan Wahyu Cipta Windu Gunatika Wiraningsih, Ni Luh Ayu Wiwekananda, I Putu Riky Yesika Cindhe Puspa Yosefina Helenora Jem