3. Population and Sample
The population for this study was 30 data which consists of food and beverage product labels from imported products. All the data were analyzed.
4. Data Analysis
There were two steps used in order to answer and analyze the problem formulations showed in the first chapter. First, to find out the translation
readability of words and phrases related to imported food and beverage product labels from source text into target text, and the data were sorted and arranged in
the table. And then the data were assessed through the questionnaires by using the readability theory and score which was made based on M.R Nababan translation
indicator assessment on “Strategi Kualitas Terjemahan” in Jurnal Linguistik Bahasa. The readability was determined based on
Nababan’s readability indicator and score.
Second, to find out the translation strategies applied in the translating process, the translation strategies proposed by Suryawinata were used in this study.
The example of the analysis table as follows:
No Code
Data Readable
Score Translation
Strategy
1 7TTF7
Mie Instan Rasa Kimchi
1 Transliteration
Readability score 1 indicates that the translation is readable, and then the strategy applied is Transliteration. The translation strategy was analyzed by using
Suryawinata and Hariyanto ’s classification.
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CHAPTER IV ANALYSIS RESULT AND DISCUSSIONS
This chapter deals with the analysis of the readability and the translation strategies. The first part discusses the readability. The analysis of
readability is done partly by distributing the questionnaires to ten respondents who have certain qualifications. They are college students who come from
any departments and have the ability to understand Indonesian language well. The research assessed about 30 data.
The second part discusses the translation strategies applied in the food and beverage product labels. The strategies applied to help the researcher to
find how readable the translation from Source Text ST into Target Text TT is.
A. The Readability of Food and Beverage Product Label
The readability indicato r is based on Nababan’s readability rating
instrument with modification. There are two categories of readability, which are Readable R, and Not Readable NR. The study found that there are 23
data which are readable R by average score of 1-1.5 and 7 data which are not readable by average score from 1.6-2 NR. They are also divided based
on the range in each category.
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