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ANTESEDEN DAN KONSEKUENSI KETERLIBATAN MEREK KONSUMEN PADA PRODUK PEMBERSIH Rani Dwi Hapsari; Zunan Setiawan; Purwoko Purwoko; Fitroh Adilla
Eqien - Jurnal Ekonomi dan Bisnis Vol 10 No 2 (2022): EQIEN - JURNAL EKONOMI DAN BISNIS
Publisher : Sekolah Tinggi Ilmu Ekonomi Dr Kh Ez Mutaqien

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (281.765 KB) | DOI: 10.34308/eqien.v10i2.599

Abstract

This study investigates the impact of social media marketing elements, namely entertainment, customization, interaction, electronic word of mouth and trends, on consumer engagement on brands and brand knowledge. This study collected 233 usable responses from respondents who are social media users. Overall, the sample profile is broadly representative of social media users in the Special Region of Yogyakarta and according to the research objectives. Testing the hypothesized relationship, an online survey was used to collect data from a sample consisting of all consumers who had used Magic Clean cleaning products in the Special Region of Yogyakarta. This online survey takes approximately 10 minutes to complete. Invitations to participate in surveys and links to questionnaires have been posted on several social media. The questionnaire featured a 5-point Likert scale, using measurement items adopted from the study of Cheung, Pires, and Rosenberger (2020). This analysis features partial least squares structural equation modeling (PLS–SEM) using SmartPLS v3.2.8. This study also finds that consumer involvement in brands has a strong and significant influence on brand awareness and brand image. These results mean that consumer engagement in brands should not only be considered as a means to enhance brand recall and recognition, but as an important factor in building brand image.
The Ability of English Education Department Students of University of Mataram to Conduct Post-Editing of Narrative Text for GNMT Rani Dwi Hapsari; Baharuddin; Lalu Ali Wardana; Santi Farmasari
Journal of Classroom Action Research Vol. 5 No. SpecialIssue (2023): Mei
Publisher : Program Studi Magister Pendidikan IPA, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcar.v5iSpecialIssue.4713

Abstract

The emerging of the AI-generated Machine Translation or Neural Machine Translation has continued the role of translator to conduct adequate post-editing for the NMT. This research is aimed to analyze the ability of English Education Department Students of University of Mataram in conducting post-editing of narrative text for Google Translate, one of widely known NMTs. The data was collected through CMC, they are the Interpreting and Translation class students’ worksheet of post-edited narrative text which previously was translated by GT. The data then were analyzed using few theories Baker’s textual equivalence theory, and harmonized metric of quality translation. Through the analyzation result, it could be inferred that most students are able to identify which sentences generated by GNMT that require post-editing and which that do not. Most of sentences left unedited by students are proven well-translated by the GNMT. Regardless, some sentences indeed still need to be post-edited after input to the GNMT, as it seems GNMT still struggles to translate well some phrases or terms that related to the culture of the language. Most students in the Translation and Interpreting class at the University of Mataram have proven their ability to identify and correct errors in GNMT-generated sentences through post-editing. This research is hoped to offer valuable insights for both education and translation and serves as a useful reference for readers seeking comprehension in this field