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All Journal Nusa: Jurnal Ilmu Bahasa dan Sastra Journal of Language and Literature Prosiding KOMMIT Prosiding PESAT Historia: Jurnal Pendidik dan Peneliti Sejarah BAHASA DAN SASTRA Marwah: Jurnal Perempuan, Agama dan Jender IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature ISLLAC : Journal of Intensive Studies on Language, Literature, Art, and Culture Jurnal Komunikasi Ikatan Sarjana Komunikasi Indonesia Ranah: Jurnal Kajian Bahasa JURNAL PENDIDIKAN TAMBUSAI Jurnal Common Satwika : Kajian Ilmu Budaya dan Perubahan Sosial Jurnal Manajemen Komunikasi SCAFFOLDING: Jurnal Pendidikan Islam dan Multikulturalisme Warta Ikatan Sarjana Komunikasi Indonesia Ekspresi dan Persepsi : Jurnal Ilmu Komunikasi Jurnal Badati Bambuti: Bahasa Mandarin dan Kebudayaan Tiongkok Jurnal Cakrawala Mandarin BroadComm BroadComm Leksema: Jurnal Bahasa dan Sastra Jurnal Communio: Jurnal Jurusan Ilmu Komunikasi Journal of Education, Social & Communication Studies Ranah: Jurnal Kajian Bahasa
Tri Wahyu Retno Ningsih
Sastra Tiongkok, Universitas Gunadarma, Depok, Jawabarat
Religion Arts Humanities Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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THE VIOLATIONS OF THE COOPERATIVE PRINCIPLES IN 'EASY MANDARIN' YOUTUBE CHANNEL CONVERSATIONS Annisa Annisa; Ayesa Ayesa; Tri Wahyu Retno Ningsih
Leksema: Jurnal Bahasa dan Sastra Vol. 10 No. 1 (2025)
Publisher : UIN Raden Mas Said Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22515/ljbs.v10i1.10295

Abstract

This study analyzes the violations of the cooperative principles in the YouTube channel Easy Mandarin as such violations in social media content reflect authentic language use and provide valuable insights into real world communication and pragmatic language learning. The main objective of this research is to identify how violations of the maxims of quantity, quality, relevance, and manner occur and what factors influence them. The data were collected from the transcription of videos from the YouTube channel by documentation technique. The data consist of 15 interview-style street videos from Easy Mandarin: Learn Mandarin from the Streets episode which were selected based on the highest number of views, with each video having a duration of approximately 12 to 15 minutes. The results of the analysis show that, in violation of the maxim of quantity, respondents often provide information that is less in-depth or too little, even though the purpose of the conversation is to create a comfortable atmosphere. It is found that the use of humour, false statements, and innuendo, in violation of the quality maxim, reduced the accuracy and truthfulness of the information. Meanwhile, violations of the maxim of relevance were identified through avoidance of direct conversation, refusal to develop the topic, and assertion of personal views irrelevant to the question. Finally, the maxim of manner was violated by errors in answering, forgetfulness, anxiety, and the use of empathy, pleasantries, and secrets, all of which obscured the clarity and depth of the conversation. The findings indicate that various social, emotional, and personal factors influence the violation of these maxims, thereby affecting the communication flow in the conversation.
Public Discourses on AI Companions in Indonesia: A Semantic Network Analysis of Twitter Conversations Nadinta Rafifah Suaib; Rajab Ritonga; Tri Wahyu Retno Ningsih
Jurnal Komunikasi Ikatan Sarjana Komunikasi Indonesia Vol. 11 No. 1 (2026): June 2026 - Jurnal Komunikasi Ikatan Sarjana Komunikasi Indonesia
Publisher : Ikatan Sarjana Komunikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25008/raapr457

Abstract

The advancement of artificial intelligence (AI) has transformed how humans communicate and make sense of technology. One notable example is ChatGPT, an AI-based conversational system that has become embedded in everyday digital life, functioning not only as a tool but also as a communicative partner. This study aims to map public discourse about ChatGPT on X (Twitter) using a semantic network analysis approach. Data were collected from user posts mentioning the keyword “ChatGPT” during August 2025. The dataset was processed and analyzed in Gephi to calculate degree centrality, betweenness centrality, and modularity, and then qualitatively interpreted through Papacharissi’s (2015) Affective Publics framework. The results reveal two dominant clusters: a functional cluster that emphasizes ChatGPT’s role as a productivity and learning assistant, and an emotional cluster that reflects users’ affective attachment to ChatGPT as a conversational companion that provides empathy and emotional validation. The “ChatGPT” node achieved the highest betweenness centrality, signifying its bridging position between rational and affective dimensions of human–machine communication. Drawing on the Affective Publics perspective, the study concludes that digital public spheres are shaped through technologically mediated emotional resonance and collective storytelling, producing new forms of shared meaning and social connectedness within Indonesia’s digital society.
Pola Prosodi Pada Anak Autism Spectrum Disorder Menggunakan Pendekatan Fonetik Eksperimental Tri Wahyu Retno Ningsih
Ranah: Jurnal Kajian Bahasa Vol 11, No 2 (2022): Ranah: jurnal Kajian Bahasa
Publisher : Badan Pengembangan dan Pembinaan Bahasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26499/rnh.v11i2.2452

Abstract

Suprasegmental elements or prosodic of research oriented to the measurement of speech signals and prosodic patterns. Research on  prosody in autistic children has shown atypical or inappropriate prosody Ningsih (2017), Klin & Volkmar (1995); Ehlers & Gillberg (1993); Kanner, (1943). The research showed that the Autism Spectrum Disorder (ASD) often faced up the obstacles in producing the pitch, stress, and intonation. The purpose of this research is to find out prosodic patterns in children with autism spectrum disorder (ASD). This research is using experimental phonetics as it’s method (Boersma dan Weenink, 2001). From this research it is found that the prosodic patterns described with sound wave and contours in Praat and result of the description are different and the differences are varied. The results showed that the subject of the study (ASD children) had indications of disturbances in producing contours. The prosody pattern tends to show a flat pattern.  AbstrakPenelitian unsur suprasegmental atau prosodi bertujuan untuk menghitung sinyal bunyi ujaran dan pola prosodi. Penelitian prosodi pada anak autis menunjukkan prosodi atipikal atau tidak wajar Ningsih (2017), (Klin & Volkmar 1995); Ehlers & Gillberg (1993); Kanner, (1943). Penelitian tersebut menunjukkan bahwa anak dengan Autism Spectrum Disorder (ASD) mempunyai gangguan dalam memproduksi bunyi ujaran (pitch, tekanan, dan intonasi). Tujuan penelitian ini adalah menemukan pola prosodi pada anak dengan ASD menggunakan perangkat lunak Praat (Boersma dan Weenink, 2001). Penelitian ini menggunakan pendekatan fonetik eksperimental. Dari penelitian ini ditemukan bahwa pola prosodi yang dideskripsikan melalui gelombang suara dan kontur intonasi pada Praat menunjukkan hasil deskripsi yang berbeda dan perbedaannya bervariasi. Hasil penelitian menunjukkan bahwa subjek penelitian (anak ASD) mempunyai indikasi gangguan dalam memproduksi  kontur ujaran. Pola prosodi yang dihasilkan cenderung menunjukkan pola mendatar (flat).
DIAGNOSA DISLEKSIA MENGGUNAKAN APLIKASI PREDIKSI KATA Tri Wahyu Retno Ningsih; Ichwan Suyudi
Ranah: Jurnal Kajian Bahasa Vol 4, No 1 (2015): Jurnal Ranah
Publisher : Badan Pengembangan dan Pembinaan Bahasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26499/rnh.v4i1.21

Abstract

Aplikasi word prediction adalah suatu alat bantu pengetikan kata secara otomatis untuk memprediksi kata yang akan diketik. Tujuan penelitian ini adalah menguji aplikasi prediksi kata untuk proses pemerolehan kata pada anak. Aplikasi ini dapat mengoreksi huruf yang salah sehingga dapat meminimalkan kesalahan pengetikan. Dengan aplikasi ini anak dapat memilih kata yang diinginkan berdasarkan daftar kata yang muncul di layar komputer sehingga anak tidak perlu mengetik alfabet berikutnya. Anak yang mempunyai kendala visual dapat terbantu dengan mengenali huruf yang akan dipilih untuk mengetik kata yang diinginkan.
Co-Authors A.A. Ketut Agung Cahyawan W Amelia, Rizki Dinda Andini, Batari Annida Hanifah Elshanti Annisa Annisa Asnia, Alifa Ayesa, Ayesa Danirih, Danirih Deasy Anastasia Putri Debyo Saptono Dhea Ananda Rakhmatika Dini Andriyani Dwi Asih Haryanti Edy Prihantoro Eka Intan Kumala Putri Elshanti, Annida Hanifah Emilianshah Banowo Endang Purwaningsih Ezra Melita Sitanggang Farha Fahira Fatmawati Fatmawati Hukmawati, Hukmawati Hukmawati, Hukmawati Kezia Yansen Pasang Lilis Setyowati Maharani, Deliana Putri Mangesthi, Tiara Muhammad Ardya Dwi Putra Al Qindi Muhammad Ridho Nadinta Rafifah Suaib Noviawan Rasyid Ohorella Poerawidjaya, Soegih Puspa Indah Aditya Pratama Qian, Lu Li Qian Rahayuni, Silvia Rahmawati, Vina Dwi Rajab Ritonga Rajab Ritonga, Rajab Ramadhani, Rizky Wulan Ramadhanty, Ardhia Aulia Rd. Ananda Iqbaldi Rita Sutjiati Rizki Dinda Amelia Soegih Poerawidjaya Suaib, Nadinta Rafifah Suci Budiwaty Susilowati Dyah K Tiarawati, Arini Egi Tri Mardhika Sampurna Ubra, Gaby Agustina Yulia, Erin Zianty Feblita