Journal
The Ideational Meaning of Text and Image Relation in Bahasa Inggris for Tenth Graders
English Education Journal · Vol. 8 No. 3 (2018) · pp. 317–323
- ISSN
- 2087-0108, 2502-4566
- Published
- 2018-07-26
- Publisher
- Universitas Negeri Semarang
- Language
- eng
Abstract
The main objective of the study was to explain the realization of ideational meaning both in written text and visual image. Also to explain the realization of written text and visual image relations. This study was chosen because English textbook plays important roles in teaching EFL classroom, where the students’ understanding of texts in English textbook can be supported by images according to some studies on multimodality approach. This study was a qualitative study which the data were taken from English textbook entitled Bahasa Inggris published by the Ministry of Education and Culture. The data were gathered through observation sheet and analyzed using the teory of metalanguage and image-text relation. The result in the texts, however, material process has the highest percentage (60%) among the others.The findings also show that narrative processin the ideational meaning of image was higher use than conceptual process.The image-text relation analysis shows that most of the texts have elaborating relationship with the images because they gave detail information about text so this is could help the students to expand their critical thinking and strengthen their capacity in constructing and interpreting multimodal texts and also the benefit of this study is to improve teacher awareness of the importance of different making-meaning resources in the textbook.
Collaboration network of the authors
40 authors · 103 co-authorship links · 1 across different organisations · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Politeknik Negeri Malang
- University of Brawijaya
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Januarius Mujiyanto | Affiliation unknown | 6 |
| Mursid Saleh | Affiliation unknown | 5 |
| Djoko Sutopo | Affiliation unknown | 4 |
| Issy Yuliasri | Affiliation unknown | 4 |
| Abdurrahman Faridi | Affiliation unknown | 3 |
| Dwi Anggani Linggar Bharati | Affiliation unknown | 2 |
| Dwi Rukmini | Affiliation unknown | 2 |
| Jumadi Jumadi | Affiliation unknown | 2 |
| Wahyu Nur Hidayat | Politeknik Negeri Malang | 1 |
| Rahmana Ilmi Hakim | University of Brawijaya | 1 |
| Ellvina Pramitadewi Pramitadewi | Affiliation unknown | 1 |
| Fauziyatur Rohmah | Affiliation unknown | 1 |
| Aldhy Sigma Lintang Pamungkas | Affiliation unknown | 1 |
| Heri Cahyono | Affiliation unknown | 1 |
| Moh. Asrori | Affiliation unknown | 1 |
| Dzulkifli Abdullah | Affiliation unknown | 1 |
| Arina Yuliarti | Affiliation unknown | 1 |
| Trias Septianingsih | Affiliation unknown | 1 |
| Abdul Khalim | Affiliation unknown | 1 |
| Evita Ardy Prabasiwi | Affiliation unknown | 1 |
| Retno Apriliyanti | Affiliation unknown | 1 |
| Rudi Hartono | Affiliation unknown | 1 |
| Rizqi Amalia F | Affiliation unknown | 1 |
| Miftakhul Ulum | Affiliation unknown | 1 |
| Nuna Mustikawati Dewi | Affiliation unknown | 1 |
| Abdul Ayiz | Affiliation unknown | 1 |
| Yuni Awalaturrohmah Solihah | Affiliation unknown | 1 |
| Sri Wuli Firtiati | Affiliation unknown | 1 |
| Isti Kristiani | Affiliation unknown | 1 |
| Anis Amperawaty | Affiliation unknown | 1 |
| Iis Siti Aisyah | Affiliation unknown | 1 |
| Dewi Faticha | Affiliation unknown | 1 |
| Dery Purnama Saefudin | Affiliation unknown | 1 |
| Tarina Dashela | Affiliation unknown | 1 |
| Iftitah Khayati | Affiliation unknown | 1 |
| Nazala Wahyu Febrianto | Affiliation unknown | 1 |
| Andini Syita Savitri | Affiliation unknown | 1 |
| Meli Fauziah | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.