Claim Missing Document
Check
Articles

Found 30 Documents
Search

The Student's Perspective Concerning the Regional Language Maintenance at Universitas Kristen Indonesia Tambunsaribu, Gunawan
Jurnal Onoma: Pendidikan, Bahasa, dan Sastra Vol. 11 No. 2 (2025)
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/onoma.v11i2.5602

Abstract

The researcher aims to examine the perspectives of Universitas Kristen Indonesia students who come from outside Jakarta regarding maintaining their regional languages. The researcher wants to determine which regional languages of the islands are included as the top 10 regional languages best known by Indonesian Christian University students. He also wants to know the activities conducted by the students to maintain or maintain their regional languages when they live in Jakarta. The researcher uses a qualitative method with a descriptive approach. The research uses interviews as the technique to obtain data. The respondents in this research were the students from the Universitas Kristen Indonesia who came from different islands and archipelago. The respondents were 20 students, who came from 5 islands and 4 archipelagos in Indonesia, namely Sumatra Island, Java Island, Kalimantan Island, Sulawesi Island, Papua Island, Riau Islands, Bangka Belitung Islands, Nusa Tenggara Islands, Maluku Island. Based on the findings, it is found that one of the factors why the students who came from outside Jakarta still speak their regional language is because they join some communities in which the members are from the same villages and use the same regional language as they do.
Transmigrant Students’ Motivation and Problems in Learning Local Languages: Language Maintenance Tambunsaribu, Gunawan
Soshum: Jurnal Sosial dan Humaniora Vol. 14 No. 1 (2024): March 2024
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/soshum.v14i1.82-89

Abstract

Some transmigrant students in their interactions with others have desires to get to know other local languages for various reasons including the student's desire to get to know people who speak the local language more intimately. This study aims to find out the motivations or factors that cause transmigrant students to learn other local languages and what obstacles they face when learning these other local languages. The benefits of this research are to find out the factors the students have and the problems the students encounter in learning local languages as a part of language maintenance. This study used the descriptive qualitative method. The selection of respondents was carried out using the snow bowling technique. There were 50 respondents (transmigrant students) who were living in the dormitory of Universitas Kristen Indonesia, Jakarta. The researcher collected data using questionnaires. The researcher used thematic analysis to analyze the data. This research reveals that there are four main reasons for the students to learn the local language, namely a) because they want to increase their knowledge and skills in the local languages; b) because they want to understand the language and culture of friends from other tribes; c) because they like the local languages (the accent, expression, and intonation); and d) because they want to get closer with fellow students who use the local languages. This study found that there were two types of general barriers that transmigrant students experienced when learning local languages, namely external and internal barriers. This research finds that transmigrant students who live in UKI’s dormitory can be ambassadors of various Indonesian local language maintenance.
Pengelompokan Kosakata Bahasa Inggris yang Salah Dilafalkan oleh Para Mahasiswa dalam Sesi Perkenalan Diri Gunawan Tambunsaribu; Yules Orlando Sianipar
DIALEKTIKA: JURNAL BAHASA, SASTRA DAN BUDAYA Vol. 9 No. 1 (2022): JUNI
Publisher : Prodi Sastra Inggris UKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/dia.v9i1.4003

Abstract

Penelitian ini bertujuan untuk mengelompokkan kosakata yang memiliki ciri bunyi yang sama yang dilafalkan salah oleh para mahasiswa dan menemukan faktor yang sangat dominan membuat para mahasiswa masih sulit melafalkan kelompok kosakata tersebut. Penelitian ini merupakan penelitian kualitatif dengan teknik purposive sampling dalam memilih partisipan. Partisipan yang dipilih adalah 40 orang mahasiswa Universitas Gunadarma jurusan Teknik Informatika. Para partisipan adalah mahasiswa yang sedang belajar mata kuliah Bahasa Inggris Bisnis 2 di semester genap 2020-2021. Dari hasil penelitian, penulis mengelompokkan kosakata yang dilafakan salah oleh para mahasiswa ke dalam 9 kelompok kosakata berdasarkan ciri bunyi yang sama yakni; 1) Kelompok kata dengan huruf ‘gh’, 2) Kelompok kata dengan huruf ‘sh’, 3) Kelompok kata dengan huruf ‘al’, 4) Kelompok kata dengan huruf yang tak ‘e’ berbunyi, 5) Kelompok kata dengan huruf ‘ir’ , 6) Kelompok kata dengan huruf ‘k’ tak berbunyi, 7) Kelompok kata dengan huruf ‘ph’, 8) Kelompok kata dengan huruf ‘c’ berbunyi /s/, dan 9) kelompok kata dengan huruf ‘g’ berbunyi /dʒ/. Faktor yang paling mempengaruhi mahasiswa menemukan kesullitan dalam melafalkan kosakata bahasa Inggris adalah faktor bahasa pertama mereka yaitu bahasa Indonesia. Diharapkan hasil penelitian ini dapat menambah pengetahuan dan keterampilan para siswa dalam melafalakn kosakata dengan lebih baik dan fasih. Hasil penelitian ini juga dapat berguna bagi para instruktur/guru bahasa Inggris sebagai bahan materi ajar khususnya pada mata kuliah speaking dan pelafalan. Hasil penelitian ini juga dapat digunakan oleh peneliti lainnya sehubungan dengan kajian pelafalan bahasa. Kata kunci: Pelafalan Bahasa Inggris, Kelompok Kosakata, Mahasiswa
The Use of Code Switching and Code Meshing in Today's Youth Speech Yules Sianipar; Gunawan Tambunsaribu
DIALEKTIKA: JURNAL BAHASA, SASTRA DAN BUDAYA Vol. 9 No. 1 (2022): JUNI
Publisher : Prodi Sastra Inggris UKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/dia.v9i1.4025

Abstract

Young people today tend to use informal language in communicating orally and in writing, in expressing themselves in front of their community or friends, but at the same time they will change their use of language into formal language when they interact with people whose position or position is above them, whether they realize it or not. The use of informal language in expressing themselves by young people is called "code-meshing", the change in the language used is called "code-switching". This research is qualitative research that uses "screenshot chat" of these students in their "WhatsApp" group and also in a private "chat" with researchers as research data, which later be classified as "code-switching" and also how they express themselves by using informal language which will later be classified as "code-meshing". The code-switching action taken is based on the understanding of the language that these students have, they understand not only Indonesian but also understand foreign languages ​​and their respective regional languages, not only the standard language they can use but also non-standard or non-standard languages. usually called 'slang' language they understand it. Code-meshing arises because of a sense of comfort in the way a speaker expresses it. This happens because they feel comfortable using words to express themselves that they still can't let go of.
Ketidakkonsistenan Beberapa Huruf Konsonan Dalam Bahasa Inggris Gunawan Tambunsaribu
DIALEKTIKA: JURNAL BAHASA, SASTRA DAN BUDAYA Vol. 9 No. 2 (2022): DESEMBER
Publisher : Prodi Sastra Inggris UKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/dia.v9i2.4372

Abstract

Banyak pembelajar pemula yang baru mengenal bahasa asing, sebagian besar bingung dalam mengucapkan kata-kata dalam bahasa asing tersebut dikarenakan perbedaan kosakata dan pengucapan kosakata bahasa asing tersebut berbeda dengan bahasa ibu atau bahasa nasional para pembelajar. Peneliti ini menggunakan merupakan penelitian pustaka (library research). Data penelitian ini diambil dari daftar kosakata yang salah diucapkan oleh mahasiswa pada saat sedang menjelaskan atau menyampaikan secara lisan tugas mata kuliah ‘Speaking’ di depan kelas. Penelitian ini mengungkapkan ketidak-konsistenan beberapa huruf hidup (consonant letter) dalam bahasa Inggris. Secara umum, perbedaan bunyi huruf konsonan dibagi menjadi dua, yaitu huruf konsonan bergema (voiced consonant sound) dan huruf konsonan tidak bergema (voiceless consonant sound). Dari data yang di dapatkan, penulis juga menemukan ketidakkonsistenan beberapa huruf konsonan termasuk gabungan dua huruf konsonan. Jenis huruf konsonan yang bunyinya tidak konsisten, yang ditemukan di dalam data penelitian ini, adalah huruf c, g, dan y, sedangkan gabungan dua huruf konsonan yang yang tidak konsisten bunyinya adalah huruf sh, ch, dan th. Penulis berharap agar hasil penelitian ini dapat berguna bagi siapapun yang ingin mempelajari tentang bunyi bahasa Inggris khususnya bunyi huruf-huruf yang memiliki bunyi yang tidak menetap (inconsistent) khususnya ketidak-konsistenan bunyi dari huruf-huruf konsonan bahasa Inggris. Kata kunci: huruf konsonan, pelafalan bahasa Inggris, kosakata, ketidak-konsistenan bunyi
Kekurangan Aplikasi Grammarly dalam Mendeteksi Kesalahan pada Karya Tulis Mahasiswa Gunawan Tambunsaribu; Yusniaty Galingging
DIALEKTIKA: JURNAL BAHASA, SASTRA DAN BUDAYA Vol. 10 No. 1 (2023): JUNI
Publisher : Prodi Sastra Inggris UKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/dia.v10i1.4838

Abstract

Kehadiran aplikasi aplikasi hasil kecerdasan buatan (artificial inteligence) di jaman sekarang tidak akan bisa kita hindari. Dalam keseharian kita saat ini, kecerdasan buatan sangat membantu kita dalam menyelesaikan pekerjaan kita. Penelitian ini membahas tentang jenis kekurangan yang dimiliki oleh aplikasi Grammarly sebagai mesin pemeriksa kesalahan tulisan dalam sebuah naskah. Penelitian ini juga memberikan informasi mengenai langkah-langkah atau solusi yang dilakukan manusia, sebagai penulis, untuk mengatasi kekurangan yang dimiliki oleh aplikasi Grammarly. Penelitian menggunakan metode kualitatif. Data dalam penelitian kualitatif berupa kata, frasa, klausa dan kalimat dalam tulisan ilmiah mahasiswa di jurusan Sastra Inggris, Universitas Kristen Indonesia. Analisis data didapatkan oleh peneliti dari hasil observasi peneliti terhadap uji coba penggunaan aplikasi Grammarly. Peneliti melakukan teknik analisis konten. Dalam hal ini peneliti menjelaskan setiap jenis contoh kesalahan penulisan yang dideteksi oleh Grammarly serta penjelasan mengenai langkah-langkah yang dilakukan peneliti dalam memperbaiki kesalahan tersebut. Dari penelitian ini dapat ditemukan bahwa ada beberapa kesalahan penulisan yang bisa dideteksi oleh aplikasi Grammarly yaitu: a. pengetikan huruf (typo); b. kekosongan tanda baca; c. pillihan kata tidak tepat; d. spasi tidak tepat atau berlebihan; e. kalimat bermakna tidak jelas atau ambigu; f. kalimat berstruktur tidak lengkap. Dari temuan ini, penulis menyimpulkan bahwa secanggih teknologi kecerdasan buatan manusia (artificial intelligence), manusia yang akan selalu melakukan penyempurnaan secara manual. Penulis berharap bahwa penelitian dengan topik pembahasan mesin pemeriksa kesalahan penulisan bisa dilanjutkan di kemudian hari oleh peneliti lainnya agar dapat memberikan perbandingan kualitas antara beberapa aplikasi sehingga memberikan banyak pilihan kepada penulis untuk memeriksa kesalahan dalamnaskah tulisannya. Kata kunci: aplikasi Grammarly, kesalahan penulisan, kecerdasan buatan
The Comparison of Metaphors Translation Strategies in Subtitling of the King’s Speech Film Gerson Sitanggang; Gunawan Tambunsaribu
DIALEKTIKA: JURNAL BAHASA, SASTRA DAN BUDAYA Vol. 10 No. 2 (2023): Desember
Publisher : Prodi Sastra Inggris UKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/dia.v10i2.5394

Abstract

This research aims to compare the use of translation strategies used between humans and YouTube’s automated machine translator. This study employed the descriptive qualitative method. The writers collected data using a note-taking strategy. Based on the research findings, there are sixteen data that use metaphors. Six data use “anthropomorphic metaphor”; five data use “dead metaphor”; four data use “concrete to abstract metaphors”; and one datum uses “live metaphor”. This research shows that only three out of seven metaphor translation strategies are employed by human translators and YouTube. They use translation strategies “reproducing the same image in the TL”, “replacing the image in the SL with a standard TL image”, and “deletion”. The human translator uses “reproducing the same image in the TL” ten times, “replacing the image in the SL with a standard TL image” five times, and “deletion” once. YouTube uses “reproducing the same image in the TL” thirteen times and “replacing the image in the SL with a standard TL image” three times. Keywords: translation, metaphor, translation strategy, subtitle.
THE USE OF FIGURATIVE LANGUAGE AND IMAGERY IN SONGS’ LYRICS Gunawan Tambunsaribu; Bob Morison Sigalingging
DIALEKTIKA: JURNAL BAHASA, SASTRA DAN BUDAYA Vol. 11 No. 1 (2024): JUNI
Publisher : Prodi Sastra Inggris UKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/dia.v11i1.5994

Abstract

In literary works, most authors express their feelings by using figurative language in their writing. The languages used in literary works usually represent the explicit and implicit feelings and thoughts of their characters. Someone may use figurative language to create unique and aesthetic communication. This study aims to find out the use of figurative language and imagery found in the two songs from Bruno Mars’ album entitled "Talking to the Moon” and “It Will Rain”. This study uses a qualitative method with a descriptive approach. This research showed that figurative language and imagery found in Bruno Mars’ selected song lyrics represented the author’s feelings and expressions delivered indirectly. Based on research findings, the writer found some figurative language in Bruno Mars’ selected songs. The most figurative language used in the lyrics of Bruno Mars’ selected songs is “Hyperbole”. This is usually used to emphasize human expression. The writer used hyperbole to make the lyrics more interesting to the listeners. In conclusion, these two songs use many kinds of figurative language and imagery. In literature, a writer uses figurative language as a tool to express and emphasize the elements of feeling, emotion, and experiences of human beings. By using figurative language and imagery, the reader can understand and imagine the aim of the writer.
THE ANALYSIS OF THE USAGE OF INTERNET LANGUAGE FEATURES USED BY MEN AND WOMEN ON SOCIAL MEDIA Gunawan Tambunsaribu; Teguh Prasetyo
DIALEKTIKA: JURNAL BAHASA, SASTRA DAN BUDAYA Vol. 11 No. 2 (2024): Desember
Publisher : Prodi Sastra Inggris UKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/dia.v11i2.6416

Abstract

The rapid advancement of computers and the internet has led to the emergence of internet language as a prominent linguistic phenomenon. Exploring the distinctive features of this language has become an important area of study in recent years. This research analyzes the typical features of internet language used by men and women commenters on Instagram, with a particular emphasis on gender-based differences. The study investigates ten common digital language features: multiple punctuation marks, unconventional spelling, capitalization, asterisks for emphasis, written-out laughter, music/noise references, action descriptions, emoticons, abbreviations, and rebus writing. These features serve as the basis for data analysis. A qualitative approach is used to examine the collected data in-depth. The findings reveal that while both genders use capital letters (though not in all caps) and multiple punctuation marks (such as exclamation points and periods), women employ more internet language features overall—42 features compared to 31 by men. Additionally, woman users are more likely to extend consonants in their spelling, whereas men tend to repeat vowels. These differences illustrate how users modify language for efficiency and self-expression in digital communication.
NPD DEPICTION ON DONALD TRUMP IN THE DEBATE WITH KAMALA HARRIS: CONTENT ANALYSIS DESIGN Yules Sianipar; Megarizky Hotmauli; Gunawan Tambunsaribu; Teguh Prasetyo
DIALEKTIKA: JURNAL BAHASA, SASTRA DAN BUDAYA Vol. 12 No. 1 (2025): JUNI
Publisher : Prodi Sastra Inggris UKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/dia.v12i1.6850

Abstract

Narcissistic Personality Disorder (NPD) is a symptom of someone considering themselves superior to others, thirsting for praise from others, and having little or no empathy for others. we can use the acronym SPECIAL ME to remember the nine traits of NPD: Sense of self-importance, Preoccupation with power, beauty, or success, Entitled, Can only be around important people, Interpersonally exploitative for their gain, Arrogant, Lack empathy, Must be admired, Envious of others or believe that others are envious of them. Many psychoanalytically oriented clinicians consider it a product of the current era and value system (A. W. Lestari, 2023). The research method used in this study is qualitative. The approach used in this study is phenomenological. Phenomenology; seeks to uncover, study, and understand phenomena and their unique contexts experienced by individuals to the level of beliefs of the individual concerned (Fadli, 2021). This study analyzes the transcript data of the debate between Trump and Harris using a content analysis design. According to Holsti, the content analysis method is a technique for concluding by objectively, systematically, and generally identifying various specific characteristics of a message (Astuti et al., 2023). The data source used is the script of the US presidential campaign debate between Donald Trump and Kamila Harris. From 110 data collected, 64 of Donald Trump's statements contain elements of a lack of empathy and arrogance. 47 data of Donald Trump's statements contain an exaggerated sense of self-importance, a need for admiration, Preoccupation with power, beauty, or success, Entitled, Arrogant, and Must be admired. This tendency can be seen in Donald Trump's statements during the presidential debate with Kamala Harris, either in answering questions from the host or responding to statements from Kamala Harris.