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The Translation Error Found In Google Translate Product Ayuningtyas, Arina
Prosiding University Research Colloquium Proceeding of The 11th University Research Colloquium 2020: Bidang Sains dan Teknologi
Publisher : Konsorsium Lembaga Penelitian dan Pengabdian kepada Masyarakat Perguruan Tinggi Muhammadiyah 'Aisyiyah (PTMA) Koordinator Wilayah Jawa Tengah - DIY

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Abstract

The objective of this study was to describe the errors made in the Indonesian text into English text by Google Translate. This study employed one translation of Indonesian Narrative texts taken from internet made by using Google Translate. Those samples were taken by using purposive sampling technique. The categorizations of translation errors were adapted from Keshavarz (1999) and Vilar et al. (2006). The errors can occur in the grammatical errors, lexical errors and semantic errors. The data gathered were analyzed descriptively by using qualitative approach. The data source was found in Internet. The findings of the analysis showed that there were 3 categories of translation errors obtained from 17 data. Ranking from the most common to the least common errors found in the data, they were grammatical errors (76%) and lexical errors (24%). The data findings also showed that statistical method of Google Translate, the inability of Google Translate to understand the contexts of the texts beyond sentence, and errors in the source texts that carried into translation errors in the target texts were the causes of translation errors found in the data.
PENYEBAB OBAT KEDALUARSA, OBAT RUSAK DAN DEAD STOCK (STOK MATI) DI GUDANG PERBEKALAN FARMASI GUDANG PERBEKALAN FARMASI RUMAH SAKIT X SURABAYA Nurcahyani, Diah; Ayuningtyas, Arina; G, Leo Eladisa
Jurnal Riset Kefarmasian Indonesia Vol. 5 No. 1 (2023): Jurnal Riset Kefarmasian Indonesia
Publisher : APDFI (Asosiasi Pendidikan Diploma Farmasi Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33759/jrki.v5i1.353

Abstract

Drug processing problems in each hospital often occur nowadays, so it is necessary to carry out continuous evaluation to create optimal services in providing good quality patient health. This study aims to describe and analyze the occurrence of expired drugs, damaged drugs and dead stock, to provide policy recommendations for improving drug processing. This study uses a descriptive method, namely research that describes an object in relation to the actual situation. The sample used in this study is the number of expired drugs, damaged drugs and dead stock for the period June - August 2021 compared to the total number of drugs in the hospital. The percentage results for expired drugs were 0.002%, damaged drugs were 0%, dead stock were 0.022%, this was due to changes in prescribing patterns, expiration dates that were too short when receiving drugs from PBF and not maximally checking expired drugs in each unit, so it is necessary to do checking between planning and drug needs as well as improving the ED drug processing system and evaluating the system and evaluating the drug acceptance system in hospitals.