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  <title>SKRIPSI &quot;ERROR ANALYSIS IN STUDENTS` CAPTION WHATSAPP STORIES&quot;</title>
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  <dateIssued>2024</dateIssued>
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 <note>Error Analysis in Students` Caption&#13;
WhatsApp Stories. Supervisor: Efrika Siboro, M.Pd. Thesis. Landak Regency.&#13;
Faculty of Teacher Training and Education, Universitas Katolik Santo Agustinus&#13;
Hippo.&#13;
This research focuses on the errors made by English students in writing&#13;
captions on WhatsApp stories. The purpose of this research is to find out the most&#13;
errors in captions on WhatsApp stories of English students.&#13;
This research uses a descriptive qualitative method. The sample of this&#13;
research consisted of 10 screenshots in captions on WhatsApp stories. The data&#13;
collection instrument in this study used documentation. Data analysis techniques&#13;
include data collection, identification errors, description of errors, explanation of&#13;
error, and evaluation.&#13;
The findings revealed that the most frequent errors were omission errors&#13;
(42%), addition errors (33%), misinformation errors (17%), and misordering&#13;
errors (8%). The analysis indicates that omission errors are the most common&#13;
type, accounting for 42% of the total errors observed. This research only collected&#13;
ten samples from WhatsApp stories due to time constraints. Therefore, another&#13;
research is recommended with a larger sample size and involving all English&#13;
language students who participated in this research.</note>
 <note type="statement of responsibility">ANTONIUS MASTER</note>
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  <topic>Skripsi PBI</topic>
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