Melola Discovery

← Melola Discovery

Jurnal

Translation Techniques and Grammatical Equivalence in Indonesian English Translation of “Central Java Visitor Guide”

English Education Journal · Vol. 8 No. 2 (2018) · hlm. 254–264

DOI
10.15294/eej.v8i3.22622
ISSN
2087-0108, 2502-4566
Terbit
2018-04-02
Penerbit
Universitas Negeri Semarang
Bahasa
eng

Abstrak

“Central Java Visitor Guide” is a media to promote tourism for International tourists. This study was intended to reveal the translation techniques used by the translator in translating the sentences and to see the resulted grammatical equivalence between the source text (ST) and target text (TT). This study was done qualitatively. The findings of the research reveal that nine of 18 translation techniques proposed by Molina & Albir (2002) are chosen by the translator. They are: literal, borrowing, modulation, reduction, amplification, transposition, particularization, generalization, and description. Literal translation (50.98 %) and borrowing (17.24 %) are the most dominant technique used. On the other hand, generalization and description are the lowest ones (0.73 %). It is also found out that the translator’s choice of translation techniques has resulted in 223 used of voice equivalent (45.60 %), 203 used of tense equivalent (41.51 %), and 63 used of number equivalent (12.88 %). There is no certain techniques influence the equivalence on tense and number category. However, non-equivalent on the category of voice is caused by the use of modulation and transposition techniques. Besides that, this study also analyses the common problems of non-equivalence. They are: culture specific term (75.67 %), TL lacks specific term (12.16 %), TL lacks superordinate (8.10 %), and the use of loan words in the ST (4.05 %). Therefore, it can be concluded that the high rate of grammatical equivalence shows the translator’s success in translating the text.

Jaringan kolaborasi para penulis

40 penulis · 164 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.

  • Institut Teknologi Sepuluh Nopember
  • Institut Agama Islam Negeri Kendari
  • 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
Hendi PratamaAfiliasi tidak diketahui7
Dwi RukminiAfiliasi tidak diketahui7
Januarius MujiyantoAfiliasi tidak diketahui7
Suwandi SuwandiAfiliasi tidak diketahui5
Abdurrachman FaridiAfiliasi tidak diketahui5
Warsono WarsonoAfiliasi tidak diketahui5
Djoko SutopoAfiliasi tidak diketahui5
Mursid SalehAfiliasi tidak diketahui5
SRI WAHYUNIAfiliasi tidak diketahui4
Puji AstutiAfiliasi tidak diketahui4
Zulfa SakhiyyaAfiliasi tidak diketahui3
Rahayu Puji HaryantiAfiliasi tidak diketahui3
Sri Wuli FitriatiAfiliasi tidak diketahui3
Sri Wuli FitriatiAfiliasi tidak diketahui3
Ahmad SofwanAfiliasi tidak diketahui2
Bambang PurwantoAfiliasi tidak diketahui2
Fahrur RoziInstitut Teknologi Sepuluh Nopember2
Dwi Anggani Linggar BharatiAfiliasi tidak diketahui2
Dwi Anggani Linggar BharatiAfiliasi tidak diketahui2
Moh. Akhdan Aufarizal IrhamiAfiliasi tidak diketahui1
Muhammad Zaid MuttaqinAfiliasi tidak diketahui1
Nyayu Yayu SuryaniAfiliasi tidak diketahui1
Nesia OktaniaAfiliasi tidak diketahui1
Novi Rahmania AquarizaAfiliasi tidak diketahui1
Alief Noor FaridaAfiliasi tidak diketahui1
Pasca KalisaAfiliasi tidak diketahui1
Girindra Putri Dewi SaraswatiAfiliasi tidak diketahui1
Wa Ode Zulhidjah AwalyahInstitut Agama Islam Negeri Kendari1
Muhamad Dedi Manfaluthi ManfaluthiAfiliasi tidak diketahui1
Putri AnggraeniAfiliasi tidak diketahui1
Yuliana YulianaAfiliasi tidak diketahui1
Annisa Nur AtikahAfiliasi tidak diketahui1
Eka FatmawatiAfiliasi tidak diketahui1
Frimadhona SyafriAfiliasi tidak diketahui1
wilis nurlelaAfiliasi tidak diketahui1
Andini Lusiana SariAfiliasi tidak diketahui1
SetiowatiAfiliasi 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/sju/index.php/eej/oai, pertama di-harvest 5 Nov 2026, terakhir terlihat 8 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-US">Translation Techniques and Grammatical Equivalence in Indonesian English Translation of “Central Java Visitor Guide”</dc:title>
	<dc:creator>afifah, Iif nur</dc:creator>
	<dc:creator>Hartono, Rudi</dc:creator>
	<dc:creator>Yuliasri, Issy</dc:creator>
	<dc:description xml:lang="en-US">“Central Java Visitor Guide” is a media to promote tourism for International tourists. This study was intended to reveal the translation techniques used by the translator in translating the sentences and to see the resulted grammatical equivalence between the source text (ST) and target text (TT). This study was done qualitatively. The findings of the research reveal that nine of 18 translation techniques proposed by Molina &amp;amp; Albir (2002) are chosen by the translator. They are : literal, borrowing, modulation, reduction, amplification, transposition, particularization, generalization, and description. Literal translation&amp;nbsp; (50.98 %) and borrowing (17.24 %) are the most dominant technique used. On the other hand, generalization and description are the lowest ones (0.73 %). It is also found out that the translator’s choice of translation techniques has resulted in 223 used of voice equivalent (45.60 %), 203 used of tense equivalent (41.51 %), and 63 used of number equivalent (12.88 %). There is no certain techniques influence the equivalence on tense and number category. However, non-equivalent on the category of voice is caused by the use of modulation and transposition techniques. Besides that, this study &amp;nbsp;also analyses the common problems of non-equivalence. They are : culture specific term (75.67 %), TL lacks specific term (12.16 %), TL lacks superordinate (8.10 %), and the use of loan words in the ST (4.05 %). Therefore, it can be concluded that the high rate of grammatical equivalence shows the translator’s success in translating the text.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2018-04-02</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-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/sju/eej/article/view/22622</dc:identifier>
	<dc:identifier>10.15294/eej.v8i3.22622</dc:identifier>
	<dc:source xml:lang="en-US">English Education Journal; Vol 8 No 2 (2018): June 2018; 254-264</dc:source>
	<dc:source>2087-0108</dc:source>
	<dc:source>2502-4566</dc:source>
	<dc:source>10.15294/eej.v8i3</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/sju/eej/article/view/22622/10711</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2018 English Education Journal</dc:rights>
</oai_dc:dc>