Article Per Year (5 Year)
p-Index From 2020 - 2025
0.408
P-Index
This Author published in this journals
All Journal Journal of English Language Studies Cakrawala Management Business Journal Adpebi Science Series
Dyah Purwaningsih
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Languange, Linguistic, Communication & Media

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
COMPARING TRANSLATION PRODUCED BY GOOGLE TRANSLATION TOOL TO TRANSLATION PRODUCED BY TRANSLATOR Dyah Purwaningsih
Journal of English Language Studies Vol 1, No 1 (2016): Available online in March 2016
Publisher : English Department - University of Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (435.899 KB) | DOI: 10.30870/jels.v1i1.678

Abstract

Translation, as defined by many scholars, is a message-transferring process from one language or source language (SL) into another language or target language (TL). Thus, it refers to the process that a translator does in conveying the messages which is also called a decision-making process. It means a translator must decide the words s/he is going to use in translation activity, because a word might have more than one equivalents; one word might represent more than one meaning.  To produce an accurate, acceptable, and readable translation, a translator must have one of translation competences called transfer competence. This competence cannot be fulfilled by translation machine like Google translation and any other translation tools because a machine does not have linguistic sense as  translators do. However, along with the development of information technology, people are spoiled with google translator that results in low-quality translation. This paper is aimed at comparing translation produced by Google Translate to translation produced by translator.
PENERAPAN STRATEGI KANVAS UNTUK PERANCANGAN MODEL PEMASARAN PROGRAM STUDI Mohammad Kurniadi Rasyid; Dyah Purwaningsih
Cakrawala Management Business Journal Vol 5 No 2 (2022): Cakrawala Management Business Journal
Publisher : Fakultas Ekonomi dan Bisnis, Universitas Papua.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30862/cm-bj.v5i2.202

Abstract

The purpose of this research is to find a marketing model for the study program that is in accordance with the steps recommended by the blue ocean shift. The data used in this study were obtained from distributing questionnaires to management study programs from 10 private universities in West Java and Jakarta. The canvas analysis technique of blue ocean shift is used to analyze the marketing activities of each study program that is sampled and determine the conditions of competition between study programs. The results of the study indicate that there are marketing activities that should be reduced by study programs and replace them with other, more innovative activities. Changes in marketing activities will result in a new marketing model of the study program that will attract enthusiasts by avoiding heavy competition from competitors as suggested by the blue ocean strategy.
Effect of Leadership on Talent Management Process in Universities in Indonesia Dyah Purwaningsih; Rasyid, Mohammad Kurniadi
Adpebi Science Series 2022: 1st AICMEST 2022
Publisher : ADPEBI

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The aim of this research is to explore the effect of leadership on the talent management process in universities in Indonesia. This research used quantitative approach. The respondents were 108 talented education personnel from 12 universities in West-Java, Indonesia. The sampling method was used to collect data using surveys and questionnaires. The collected data from the respondents were analyzed using Structural Equation Model Partial Least Square (SEM-PLS). The Smart PLS 3.0 software was used to process the data. The study have found that leadership is proven to have an impact on the success of talent management. The results show that the application of leadership can support a better talent management process at universities.
Co-Authors Mohammad Kurniadi Rasyid Rasyid, Mohammad Kurniadi