Translation Techniques of the NPC (Non-Player Characters) Utterances in Toram Online Video Game

Abstract

ABSTRACT

This research is entitled “Translation Techniques of the NPC (Non-Player Characters) Utterances in the Toram Online Video Game”. The purposes of this research are to identify the types of translation techniques and to find out the dominant translation technique that was used in translating the NPC utterances in the Toram Online video game. The researcher uses descriptive qualitative as a method for this study. In identifying the types of translation techniques, the researcher chose to use Molina and Albir theory. From the results of this study, the researcher found 349 utterances that were used by the NPC in the Toram Online video game. The results show that 12 out of 18 translation techniques were applied. They are; 1) established equivalent 32.09% (112 data), 2) borrowing 26.64% (93 data), 3) amplification 13.18% (46 data), 4) literal translation (12.32%), 5) particularization 5.44% (19 data), 6) reduction 2.86% (10 data), 7) linguistic amplification 2.86% (10 data), 8) transposition 1.72% (6 data), 9) modulation 1.15% (4 data), 10) discursive creation 0.86% (3 data), 11) adaptation 0.57% (2 data), 12) linguistic compression 0.29% (1 data). The dominant translation technique used is an established equivalent of 32.09% (112 data). While the least translation technique used is linguistic compression 0.29% (1 data). It can be concluded that the translator used established equivalent as the dominant translation technique due to making the target text meaning as equivalent as the source text with the words that are familiar in the dictionary or common use in daily activities.

ABSTRAK

Penelitian ini berjudul “Teknik Penerjemahan Ungkapan NPC (Non-Player Characters) dalam Video Game Toram Online”. Tujuan dari penelitian ini adalah untuk mengidentifikasi jenis-jenis teknik penerjemahan dan untuk mengetahui teknik penerjemahan yang dominan digunakan dalam menerjemahkan ucapan NPC dalam video game Toram Online. Peneliti menggunakan deskriptif kualitatif sebagai metode dalam penelitian ini. Dalam mengidentifikasi jenis-jenis teknik penerjemahan, peneliti memilih menggunakan teori Molina dan Albir. Dari hasil penelitian ini, peneliti menemukan 349 ucapan yang digunakan oleh NPC dalam video game Toram Online. Hasil penelitian menunjukkan bahwa 12 dari 18 teknik penerjemahan diterapkan. Mereka; 1) Established Equivalence 32,09% (112 data), 2) Borrowing 26,64% (93 data), 3) Amplification 13,18% (46 data), 4) Literal translation (12,32%), 5) Particularization 5,44% (19 data), 6) Reduction 2,86% (10 data), 7) Linguistic amplification 2,86% (10 data), 8) Transposition 1,72% (6 data), 9) Modulation 1,15% (4 data), 10) Diskursive creation 0,86% (3 data) ), 11) Adaptation 0,57% (2 data), 12) Linguistic compression 0,29% (1 data). Teknik penerjemahan yang dominan digunakan adalah Established Equivalence sebesar 32,09% (112 data). Sedangkan teknik penerjemahan yang paling sedikit digunakan adalah Linguistic compression 0,29% (1 data). Dapat disimpulkan bahwa penerjemah menggunakan padanan mapan sebagai teknik penerjemahan yang dominan karena menjadikan makna teks sasaran setara dengan teks sumber dengan kata-kata yang familiar dalam kamus atau yang umum digunakan dalam kegiatan sehari-hari.