EMPLOYING MACHINE TRANSLATION TO OVERCOME MECHANICAL ENGINEERING VOCATIONAL EDUCATION STUDENT'S DIFFICULTIES IN ACADEMIC WRITING

TRISYA AVIANKA, . (2021) EMPLOYING MACHINE TRANSLATION TO OVERCOME MECHANICAL ENGINEERING VOCATIONAL EDUCATION STUDENT'S DIFFICULTIES IN ACADEMIC WRITING. Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

Mesin terjemahan penting untuk pembelajaran dan pengajaran terutama penulisan akademis. Biasanya digunakan untuk menyelesaikan kesulitan menulis akademik siswa yang dianggap bermasalah selama beberapa tahun terakhir. Oleh karena itu, penelitian ini bertujuan untuk mengetahui penggunaan mesin terjemahan untuk mengatasi kesulitan mahasiswa Pendidikan Vokasi Teknik Mesin dalam penulisan akademik. Penelitian ini menggunakan survei kualitatif dengan desain penelitian analisis deskriptif. Sumber data adalah 27 mahasiswa semester 2 Pendidikan Vokasi Teknik Mesin yang sedang menempuh mata kuliah Bahasa Inggris di Universitas Negeri Jakarta. Pengumpulan data dilakukan melalui kuesioner dan dianalisis menggunakan analisis deskriptif. Kuesioner 1 digunakan untuk mengetahui apakah peserta menggunakan terjemahan mesin atau tidak dan untuk mengetahui jenis mesin terjemahan yang biasa mereka gunakan. Angket 2 dibagi menjadi dua bagian. BAGIAN A diadaptasi dari Xiao dan Chen (2015) karena menjelaskan kesulitan menulis akademik siswa. Terdiri dari 12 item yang didistribusikan melalui Google Form kepada 27 siswa. Sedangkan BAGIAN B diadaptasi dari temuan S. M. Lee (2020) sebelumnya. Ditemukan bahwa kesulitan dalam penulisan akademik ada di dalam kelas. Kesulitan terbesar terletak pada kesulitan tata bahasa diikuti oleh kosa kata dan ekspresi. Ternyata penggunaan terjemahan mesin sangat membantu mereka mengatasi kesulitan kosakata, diikuti oleh tata bahasa dan ekspresi. Machine translation is important for learning and teaching especially academic writing. It usually used to overcome students’ academic writing difficulties which have been regarded problematic for recent years. Hence this study aims to discover the employment of machine translation to overcome Mechanical Engineering Vocational Education students’ difficulties in academic writing. This research used qualitative survey with descriptive analysis as the design of the study. The data sources were 27 2nd semester students of Mechanical Engineering Vocational Education which currently taking English as the college course at Universitas Negeri Jakarta. The data was gathered through questionnaires and analyzed using descriptive analysis. Questionnaire 1 is used to know whether the participant used machine translation or not and to discover what kind of machine translation they usually used. Questionnaire 2 was divided into two parts. PART A was adapted from Xiao and Chen (2015) as they described students’ academic writing difficulties. It consists of 12 items which distributed through Google Form to 27 students. Meanwhile, PART B was adapted from S. M. Lee (2020) previous findings. It was found that the difficulties in academic writing exist in the classroom. The greatest difficulty lies in difficulties in grammar followed by vocabulary and expressions. It turned out that employing machine translation can help them the most to overcome vocabulary difficulties, followed by grammar and expression.

Item Type:	Thesis (Sarjana)
Additional Information:	1) Dr. Siti Drivoka Sulistyaningrum, M.Pd 2) Dr. Ratna Dewanti, M.Pd
Subjects:	Bahasa dan Kesusastraan > Bahasa Inggris Bahasa dan Kesusastraan > Tata Bahasa Inggris Bahasa dan Kesusastraan > Sistem Tulisan dalam Bahasa Inggris
Divisions:	FBS > S1 Pendidikan Bahasa Inggris
Depositing User:	Users 8951 not found.
Date Deposited:	02 Mar 2021 10:20
Last Modified:	02 Mar 2021 10:20
URI:	http://repository.unj.ac.id/id/eprint/13908

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