Melola Discovery

← Melola Discovery

Jurnal

Analysis of students challenges and solutions in translating Indonesian text into English

ELT Forum: Journal of English Language Teaching · Vol. 14 No. 3 (2025) · hlm. 532–547

DOI
10.15294/elt.v14iSpecial
ISSN
2721-4532, 2252-6706
Terbit
2025-10-23
Penerbit
Universitas Negeri Semarang

Abstrak

Translating Indonesian text into English is a big deal for Indonesian students, especially with English education students. Previous studies show that general problems among students are idioms, failing to comprehend the text, a lack of vocabulary, and subject-verb agreement. However, it is rare to find their primary concern in non-equivalence problems, and what solutions fit with students based on their experience. In this case, researchers use a qualitative method. To obtain this data, researchers conducted a deep interview using thematic analysis. This method shows that 8th-semester UNNES English Education students also have their biggest concerns and solutions. The problems that students face are grammar, vocabulary, coherence, and cultural issues. Their solutions are also varied; using DeepL and Grammarly for grammar, studying for grammar mastery, using Google and an online dictionary for cultural terms, and using AI to assist in building coherent sentences. It can be seen that most of students used technology for encounter their problem. This discovery can lead to curriculum review to solve students’ translation difficulty and also regulate the digital and AI tools utilization. To enrich the data, future researchers can use another method, or focusing on one type of non-equivalence problem in a kind of text, like news, narrative, procedure, etc.

Kata kunci

Jaringan kolaborasi para penulis

40 penulis · 152 tautan kepenulisan bersama · menampilkan 40 yang paling banyak terhubung

Arahkan kursor atau ketuk sebuah nama untuk menyorot rekan penulisnya. Klik dua kali untuk membuka halaman penulis.

  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Evi WidowatiAfiliasi tidak diketahui6
Anik Setyo WahyuningsihAfiliasi tidak diketahui4
Lutfi MuzaqiAfiliasi tidak diketahui2
Risa Anggita PutriAfiliasi tidak diketahui2
Fitra Aulia RahmaAfiliasi tidak diketahui2
Yuliati YuliatiAfiliasi tidak diketahui2
Fitri IndrawatiAfiliasi tidak diketahui1
Faridanisa Zulfa AmaliaAfiliasi tidak diketahui1
Febryantika KustyandariAfiliasi tidak diketahui1
Hanif Satria FebrianandaAfiliasi tidak diketahui1
Magdalena Ayu Sri PramestiAfiliasi tidak diketahui1
Dea Putri RahmadewiAfiliasi tidak diketahui1
Naufal Arik MustofaAfiliasi tidak diketahui1
Nasha ShafiraAfiliasi tidak diketahui1
Zuhriatul AiniAfiliasi tidak diketahui1
Farid Akhbar FardillahAfiliasi tidak diketahui1
Aulia FebriantiAfiliasi tidak diketahui1
Luvi Lia NursucilowatiAfiliasi tidak diketahui1
Elma Nurul AmaliaAfiliasi tidak diketahui1
Ardheta Heru MahartikoAfiliasi tidak diketahui1
Berliana Noor TianisaAfiliasi tidak diketahui1
M. Ditra RizallihadiAfiliasi tidak diketahui1
Firda Aliya SabriyantiAfiliasi tidak diketahui1
Delyanti Pare SandaAfiliasi tidak diketahui1
Muhammad Fakrul NizamAfiliasi tidak diketahui1
Almira Irwaniyanti UtamiAfiliasi tidak diketahui1
Aditya Rangga Putra CahayaAfiliasi tidak diketahui1
Nira AmaliaAfiliasi tidak diketahui1
Cahyo YuwonoAfiliasi tidak diketahui1
Adi SAfiliasi tidak diketahui1
Dicky Budhi SetyawanAfiliasi tidak diketahui1
JumantoAfiliasi tidak diketahui1
Sugianto Parulian SimanjuntakAfiliasi tidak diketahui1
Erika AfrianaAfiliasi tidak diketahui1
Karina Permata AndhiniAfiliasi tidak diketahui1
Aza Putri AnisaAfiliasi tidak diketahui1
Ayu Fadilah WahidAfiliasi tidak diketahui1
Ratna Dewi KusumaningtyasAfiliasi tidak diketahui1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/journals/elt/oai, pertama di-harvest 5 Nov 2026, terakhir terlihat 5 Nov 2026.
Metadata asli (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en">Analysis of students challenges and solutions in translating Indonesian text into English</dc:title>
	<dc:creator xml:lang="en">Matilda, Shabrina</dc:creator>
	<dc:creator xml:lang="en">ummi nur laila sulistyani </dc:creator>
	<dc:subject xml:lang="en">English-Indonesian Translation</dc:subject>
	<dc:subject xml:lang="en">text </dc:subject>
	<dc:subject xml:lang="en">non-equivalence problem and solution </dc:subject>
	<dc:subject xml:lang="en">English Education students</dc:subject>
	<dc:description xml:lang="en">Translating Indonesian text into English is a big deal for Indonesian students, especially with English education students. Previous studies show that general problems among students are idioms, failing to comprehend the text, a lack of vocabulary, and subject-verb agreement. However, it is rare to find their primary concern in non-equivalence problems, and what solutions fit with students based on their experience. In this case, researchers use a qualitative method. To obtain this data, researchers conducted a deep interview using thematic analysis. This method shows that 8th-semester UNNES English Education students also have their biggest concerns and solutions. The problems that students face are grammar, vocabulary, coherence, and cultural issues. Their solutions are also varied; using DeepL and Grammarly for grammar, studying for grammar mastery, using Google and an online dictionary for cultural terms, and using AI to assist in building coherent sentences. It can be seen that most of students used technology for encounter their problem. This discovery can lead to curriculum review to solve students’ translation difficulty and also regulate the digital and AI tools utilization. To enrich the data, future researchers can use another method, or focusing on one type of non-equivalence problem in a kind of text, like news, narrative, procedure, etc.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2025-10-23</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:identifier>https://journal.unnes.ac.id/journals/elt/article/view/30679</dc:identifier>
	<dc:identifier>10.15294/elt.v14iSpecial Issue.30679</dc:identifier>
	<dc:source xml:lang="en">ELT Forum: Journal of English Language Teaching; Vol. 14 No. 3 (2025): ELT Forum: Journal of English Language Teaching - Special Issue (August); 532-547</dc:source>
	<dc:source>2721-4532</dc:source>
	<dc:source>2252-6706</dc:source>
	<dc:source>10.15294/elt.v14iSpecial Issue</dc:source>
	<dc:rights xml:lang="en">Copyright (c) 2025 Shabrina Matilda, Ummi Nur Laila Sulistyani (Author)</dc:rights>
</oai_dc:dc>