sources. In utilizing observers, the res earcher looked for some experts’ judgment
to confirm the obtained data. The researcher also consulted the research analysis to his thesis consultants. The consultants analyzed the research process and the
data whether it is correct or still need to be analyzed.
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CHAPTER IV RESULTS AND DISCUSSION
A. Results
There are many occurrences of proper nouns done by the translator to get the equivalent meaning was founded by the researcher in translation of The
Enchantress The Secret of The Immortal Nicholas Flamel texts by Michael Scott. There are 3 kinds of proper nouns shown in the text. They are names of
people, names of places and names of objects. Based on the analysis, the results are as follows.
1. The Proper Nouns Occurrences in the English-Bahasa Indonesia The
Enchantress The Secret of The Immortal Nicholas Flamel texts by Michael Scott
There are 3 types of proper nouns in the novel. The proper noun occurrences in the novel are classified and the researcher has made a table to show
the frequency of each proper nouns. The proper nouns that occur in English- Bahasa Indonesia The Enchantress The Secret of The Immortal Nicholas Flamel
texts can be seen in table 2.
Tabel 2: The Occurrence of Each Proper Nouns No
Types of Proper nouns occurrences in the text
Frequency Percentage
ST Source Text
TT Target Text
1. Names of People
191 50.2
2. Names of Places
47 12.3
3. Names of Objects
143 37.5
Total 381
100
From the table above, it can be seen that the highest frequency of proper nouns is the names of people. It is related with the use of the names of characters
in the novels. When dealing with proper nouns in the novels, the researcher found many names including called names and alias. With 50.2 percentage, the names
of people are the highest phenomena in the proper nouns. The smallest unit of proper nouns is the names of places with only 12.3 data. When the translator
deals with the names of places, he or she has to make sure that the names are geographically the names of nation or city and surely it can be proven. Therefore,
to make sure the names of place, we have to recheck the validity of the names of places in map or internet. The frequency of names of objects has 37.5 data out
of 100. It is because the names of object are focused on the setting, the names of every non-living thing and the names of the brands in the story. The total numbers
