Open access Jurnal
An Analysis Of Errors In Descriptive Texts Composed By Tenth-Grade Students At SMKN 5 Palu
ELS Journal on Interdisciplinary Studies in Humanities · Vol. 8 No. 4 (2025) · pp. 1271–1276
- ISSN
- 2621-0835, 2621-0843
- Published
- 2025-12-18
- Publisher
- Hasanuddin University
- Language
- en
Abstract
This study investigates the types and frequencies of linguistic errors found in descriptive texts written by tenth-grade students of SMKN 5 Palu. The research employs a descriptive qualitative method to analyze students’ written work using the error taxonomy proposed by Dulay, Burt, and Krashen (1982), which categorizes errors into omission, addition, misformation, and misordering. Data were collected from 32 students who completed a writing task focused on descriptive text production. The findings reveal a total of 278 errors across all samples, with misformation errors being the most prevalent (36.69%), followed closely by omission errors (35.25%). Addition errors accounted for 15.47%, while misordering errors represented 12.59% of the total errors. These results indicate significant challenges among students in applying correct grammatical structures, vocabulary, and sentence organization when writing descriptive texts. The study underscores the need for more focused instruction in grammar, vocabulary development, and writing practice to help students improve their descriptive writing skills. Additionally, the findings suggest that error analysis can serve as an effective diagnostic tool for identifying students’ writing difficulties and guiding targeted pedagogical interventions. Overall, this research contributes valuable insights into the nature of writing errors in Indonesian EFL classrooms and highlights the importance of tailored instructional approaches to enhance students’ writing competence.
Keywords
Collaboration network of the authors
40 authors · 91 co-authorship links · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- STKIP Taman Siswa Bima
- Universitas Halu Oleo
- 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 |
|---|---|---|
| Andi Patmasari | Affiliation unknown | 4 |
| Mochtar Marhum | Affiliation unknown | 3 |
| Mashuri Mashuri | Affiliation unknown | 2 |
| Melisa Melisa | Affiliation unknown | 2 |
| Wildan Zahen Da'im | Affiliation unknown | 2 |
| Aditya Moh. Zikri | Affiliation unknown | 2 |
| Hastini Hastini | Affiliation unknown | 2 |
| Rivaldo Barani | Affiliation unknown | 2 |
| Stesia Abigael Tombo | Affiliation unknown | 2 |
| Muhammad Arid | Affiliation unknown | 2 |
| Endang Puspita Sari | Affiliation unknown | 2 |
| Ita Fitriati | STKIP Taman Siswa Bima | 1 |
| Ilyas Ilyas | STKIP Taman Siswa Bima | 1 |
| Suriana Gende Ede | Universitas Halu Oleo | 1 |
| Asmawati Munir | Universitas Halu Oleo | 1 |
| Minarti Usman | Affiliation unknown | 1 |
| Prinob Aksar | Universitas Halu Oleo | 1 |
| Nanang Endriatno | Affiliation unknown | 1 |
| Masykur Kimsan | Affiliation unknown | 1 |
| sulha sulha | Affiliation unknown | 1 |
| Syahruddin Syahruddin | Affiliation unknown | 1 |
| Hasanuddin Hasanuddin | Affiliation unknown | 1 |
| Konder Manurung | Affiliation unknown | 1 |
| Nur Zam Zamia | Affiliation unknown | 1 |
| Tribuana Puspitasari | Affiliation unknown | 1 |
| Fanisha Astri Aulia | Affiliation unknown | 1 |
| Desrin Lebagi | Affiliation unknown | 1 |
| Hera Ismawati | Affiliation unknown | 1 |
| Mawardin M. Said | Affiliation unknown | 1 |
| Zarkiani Hasyim | Affiliation unknown | 1 |
| Megasari Mongi | Affiliation unknown | 1 |
| Moh Abraham Akbar Eisenring | Affiliation unknown | 1 |
| Maf'ulah Maf'ulah | Affiliation unknown | 1 |
| Mulky Satria Kamal | Affiliation unknown | 1 |
| Anjar Kusuma Dewi | Affiliation unknown | 1 |
| Rahmat Agung Wibowo | 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.