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Meaning Of Speech Functions in the Fifth 2024 Indonesian Presidential Debate: A Discourse Analysis Soegiarto, Herryono; Supatmiwati, Diah; Sudewi, Ni Ketut Putri Nila; Muhid, Abdul; Syamsurrijal, Syamsurrijal
IJESS International Journal of Education and Social Science Vol. 6 No. 1 (2025): VOL 6 NO 1 APRIL 2025
Publisher : INTERNATIONAL PENELITI EKONOMI, SOSIAL, DAN TEKNOLOGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56371/ijess.v6i1.396

Abstract

This study is about the meaning of speech function in the 2024 Indonesian presidential candidate debates. The purpose of this study is to find out the meaning of speech function of the speech function in Indonesian 2024 presidential candidate debates based on Halliday (2024) classification of speech function. Qualitative research design is used to analyze the data. The result showed that all candidates predominantly utilized statements to convey their vision and mission, indicating a focus on asserting their positions and values. There were offer function employed by all the presidential candidates. The distribution of speech function offer could differ across the sources or speakers analyzed. Question function submitted by the first candidate which is two utterances. The question function delivered by the first candidate Anies Baswedan and the third candidate Ganjar Pranowo. The command utterance was only found in the third candidate Ganjar Pranowo speech.
ANALYSIS OF SPEECH FUNCTION IN THE 2024 INDONESIAN PRESIDENTIAL DEBATE Soegiarto, Herryono; Supatmiwati, Diah; Sudewi, Ni Ketut Putri Nila; Muhid, Abdul; Syamsurrijal, Syamsurrijal
TELL - US JOURNAL Vol 11, No 2 (2025): New Applications and Perspectives in Teaching English as a Foreign Language (EF
Publisher : Universitas PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22202/tus.2025.v11i2.9553

Abstract

This study is about the speech function used in the 2024 Indonesian presidential candidate debates. The purpose of this study is to find out the types and the meaning of speech function and to differentiate and similarities in the speech function in Indonesian 2024 presidential candidate debates based on Halliday (2024) classification of speech function. Qualitative research design is used to analyze the data. This research analyzed speech functions in the fifth Indonesian presidential election debate held on February 4, 2024. Data were sourced from KompasTV Sukabumi’s official YouTube channel and underwent data condensation before analysis. A total of 84 clauses were analyzed, with Anies Baswedan producing 36, while Prabowo Subianto and Ganjar Pranowo each uttered 24. The result showed 84 utterances identified as speech function. The number of speeches delivered by candidate Anies Baswedan’s was 36 utterances, Prabowo Subianto’s was 24 utterances, and Ganjar Pranowo’s was 24 utterances. The most frequently used speech functions are Statement, Offer, Question, and Command.
An Appraisal System Used in CNN Headline News Coverage of Sean Diddy Comb’s Case: A Discourse Analysis Zuhroni; Supatmiwati, Diah; Hastuti, Hilda
Lexeme : Journal of Linguistics and Applied Linguistics Vol. 7 No. 2 (2025): JULY 2025
Publisher : Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/ljlal.v7i2.49326

Abstract

This study investigates the use of evaluative language in CNN International's headlines reporting on the legal case of American rapper Sean 'Diddy' Combs through the dual theoretical lenses of Martin and White's (2005) Appraisal System and Van Dijk's theory of ideological discourse. Applying a qualitative descriptive method and discourse analysis approach, we analyzed 31 headlines published from September to December 2024 using the Attitude subsystem's three categories: Judgment, Appreciation, and Affect. The findings reveal a striking dominance of Judgment (88%), particularly within the Social Sanction domain, demonstrating CNN's systematic framing of Combs through legal and moral evaluations. Appreciation (8%) and Affect (4%) appear minimally, relegated to passing references to cultural influence or emotionally charged victim quotes. This evaluative pattern aligns with Van Dijk's concept of ideological bias in media discourse, showing how CNN's linguistic choices construct a criminalized image of Combs before legal resolution. The analysis demonstrates how 88% Judgment-based language, predominantly negative, reinforces dominant moral discourses while marginalizing Combs' cultural contributions (Appreciation) and emotional complexity (Affect). These findings illuminate the media's power to shape public perception through strategic linguistic framing, highlighting the need for critical engagement with news discourse, particularly in high-profile cases where media narratives may precede judicial outcomes.
Pelatihan Computational Thinking pada Mata Pelajaran bagi Guru Madrasah Pondok Pesantren Selaparang Lombok Berbasis Kurikulum Merdeka Diah Supatmiwati; Kartarina Kartarina; Ismarmiaty Ismarmiaty; Hilda Hastuti; Wahyu Kamil Syarifaturrahman; Okta Travelian
Jurnal Pengabdian UNDIKMA Vol. 4 No. 4 (2023): November
Publisher : LPPM Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jpu.v4i4.7577

Abstract

The aim of this community service is to increase teachers' knowledge and competence related to computational thinking in school subjects and support the program of implementing computational thinking skills for elementary and junior and senior high schools. The method of implementing the service is in the form of a workshop which includes preparation activities, material presentation, and sessions for making CT-based questions. The material is collaborated with existing school subjects such as Mathematics, Language and Social and Physical Science. The target partners of this service are MI and MTs teachers who teach at the Islamic Boarding School of Selaparang Kediri in West Lombok who totaled 31 teachers. In the final session of the activity, an evaluation is carried out using a questionnaire and is analyzed descriptively. The results of this service show that there is an increase in computational thingking knowledge and teachers are able to infuse CT in the subjects they teach.
Tenses Usage in Sherlock Holmes Short Story by Sir Arthur Conan Doyle Hilda Hastuti; Diah supatmiwati
INTERACTION: Jurnal Pendidikan Bahasa Vol. 11 No. 2 (2024): INTERACTION: Jurnal Pendidikan Bahasa
Publisher : Program Studi Pendidikan Bahasa Inggris, Universitas Pendidikan Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36232/interactionjournal.v11i2.654

Abstract

Tense one of grammatical terms in language learning, especially English which is used to show an event, activity, or scenario is occurring. The main tenses in English are past tense, present tense, and future tense. Tenses are used in writings and non-writings. Tenses have a very important role in writing English fiction, such as in writing short stories. This research was conducted to find out the tenses used in the book a collection of short stories series 1 of Sherlock Holmes which consists of 6 chapters and 174 pages. This was analysed using Betty Schrampfer Azar’s Theory. The method used in this research was qualitative method. The research results showed that there were 1285 data from chapters 1 to chapter 6 consisting of 503 present tenses, 705 past tenses and 77 future tenses. The simple past tense is used in most of the sentences and the simple future tense are the least used in the sentences of the book.
English Literature Study Program Student’s Anxiety in Discussion Activity of Learning Modern Cultural Studies at Universitas Bumigora Hastuti, Hilda; Supatmiwati, Diah; Dewi, Puspita; Rahmawati, Lela
INTERACTION: Jurnal Pendidikan Bahasa Vol. 9 No. 2 (2022): INTERACTION: Jurnal Pendidikan Bahasa
Publisher : Program Studi Pendidikan Bahasa Inggris, Universitas Pendidikan Muhammadiyah Sorong

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

Abstract

This research was carried out to investigate students’ anxiety in group discussion of learning modern cultural studies at Universitas Bumigora. It’s used to identify whether factors that may contribute to anxiety in learning of modern cultural studies based on students’ perspectives. The method used in this research is qualitative with case study approach seventeen anxious students were chosen as participants. The data gained by using observation and mediated interview. The result of this research showed that speaking or expressed opinion by using English via audio or camera of video on, incomprehensible input, lack of reading, students’ beliefs of learning modern cultural studies, and lack of preparation were the five factors that are able to contribute to the students’ anxiety in discussion activity of learning modern cultural studies
The Influence of Translation Technique on Translation Ideology in the Novel Supatmiwati, Diah; Anggara, Gde Wetan Pragena; Syahid, Agus
Humanitatis : Journal of Language and Literature Vol. 10 No. 2 (2024): Humanitatis: Journal of Language and Literature
Publisher : LPPM Universitas Bumigora Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/humanitatis.v10i2.4091

Abstract

Translation is extremely crucial when communicating information, culture, messages, and so on between two or more people who speak different languages. The problem arises when it comes to translate a fantasy stories or games because the translation technique and ideology are heavily relied on the culture. This research aims to find out the influence of translation technique on ideology in translating the novel “Overlord”. This method of this research is qualitative, and the data collected is used to determine the analytical unit, which is the fantasy novel "Overlord". The unit is then broken into smaller parts, which correspond to the fantasy and gaming terms. Following that, a data sample is drawn from chapters one through five of the novels before removing unneeded and irrelevant data for this study. The data were analyzed based on Mile and Huberman techniques; data condensation, display, verification, and concluding. The findings of this research are the use of 7 translation techniques, which are: discursive creation (60), established equivalent (15), borrowing (184), Amplification (9), literal translation (118), modulation (29), and Particularization (4), and the most used translation technique is borrowing (184) and literal translation (118) in the novel. This means that the translation ideology that is used is foreignization which means that the translation is oriented to the source language culture.
Exploring Language Variations in Communication between Sellers and Buyers Suktiningsih, Wiya; Widani, Ni Nyoman; Putri Nila Sudewi, Ni Ketut; Supatmiwati, Diah
Lexeme : Journal of Linguistics and Applied Linguistics Vol. 6 No. 2 (2024): JULY 2024
Publisher : Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/ljlal.v6i2.41665

Abstract

As part of a community, we use language to interact and communicate with other group members, in various speech events. The use of language to speak is a form of cultural practice to share ways of doing things, ways of speaking, beliefs and values. Cultural and linguistic diversity can show where we come from and what kind of community we live in. One of the domains where speakers from various backgrounds carry out social interactions is traditional markets. Buyers and sellers from various backgrounds communicate to carry out transactions until reaching an agreement on price. The variety of languages ​​used by sellers and buyers when interacting to agree on prices is of interest to researchers. The research method used is descriptive qualitative using a sociolinguistic approach, to see the relationship between language use and the community at the location of the speech event. The research location was carried out at the Pagutan market, which is located in a Sasak-majority area, but is now the area of ​​choice for immigrants from various regions. The results of this research show that the variety of languages ​​used at Pagutan Mataram Market is influenced by the way we speak and also pays attention to socio-cultural background, age, gender, race and social status.
Bimbingan Teknis Pementasan Teater dalam Melestarikan Teater Tradisi Lombok Sunardy Kasim; Murianto; Syamsurrijal; Abdul Muhid; Diah Supatmiwati
Jurnal Ilmiah Pengabdian dan Inovasi Vol. 2 No. 4 (2024): Jurnal Ilmiah Pengabdian dan Inovasi (Juni)
Publisher : Insan Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57248/jilpi.v2i4.391

Abstract

The Community Service Activity in the form of Technical Guidance (bimtek) on Traditional Theatre is a collaborative effort between Bumigora University Mataram and Bale Agung Ajar Wali Foundation to support the development and preservation of traditional theatre arts in the region. This activity aims to provide an in-depth understanding of traditional theatre arts and train participants in various aspects of traditional theatre performance, including acting, dance movements and traditional music. In this activity, participants are encouraged to actively participate in presentation sessions, discussions and practical exercises where they can apply the concepts learnt in practical situations. The material presented covered the history, techniques and basic skills of traditional theatre arts, as well as the cultural values contained within them. The results of this activity showed that all participants followed all the materials well and the results of the traditional theatre practice sessions were also very satisfactory. The overall evaluation showed a high level of satisfaction of the participants with the activity as a whole, as well as positive impressions of the quality of the materials and the organization of the event.
Image Classification of Medicinal Plants Using Inception V3 and CNN: A Novel Implementation Kartarina, Kartarina; Islamiah, Nuratun; Supatmiwati, Diah; Zulfiqri, Muhammad; Triwijoyo, Bambang Krismono; Amrullah, Rahayun
International Journal of Electronics and Communications Systems Vol. 5 No. 2 (2025): International Journal of Electronics and Communications System
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042//ijecs.v5i2.27930

Abstract

Indonesia is recognized as one of the world's biodiversity hotspots, with around 30,000 of the 40,000 global medicinal plant species found in its territory. This biological wealth is a strategic asset for health innovation and digital preservation. In areas with limited access to healthcare services, medicinal plants are the primary source of treatment, but their use is still hampered by the lack of a technology-based identification and documentation system. This study aims to develop and test a classification model for medicinal plants using a Convolutional Neural Network with Inception V3 architecture. The study uses the CRISP-DM (Cross-Industry Standard Process for Data Mining) framework, which ensures systematic stages of business understanding, data preparation, modeling, and evaluation. The dataset used consists of 2,750 leaf images in 25 classes, compiled from previous research and independent collections. The data was divided into 1,921 images for training and 823 images for testing using a 70:30 ratio. The model was evaluated using accuracy, precision, recall, and F1 score. The results showed that the Inception V3-based CNN achieved a training accuracy of 96%, which increased to 97% with optimized weights, while maintaining strong precision, recall, and F1 scores. This proves that the Inception V3-based approach is capable of providing high and stable classification performance for the identification of Indonesian medicinal plants. These findings highlight the effectiveness of the model in identifying Indonesian medicinal plants from leaf images, providing a promising foundation for the development of knowledge and potential real-world applications