Analysis of Standard Word Errors in Political Information News Newspapers as Teaching Material for Learning Indonesian

Abstract

The aim of this research is to describe errors in standard language in Political Information in Newspaper News as Teaching Material for Indonesian Language Learning. This study employs content analysis method. Data sources for this research can be newspapers, advertisements, magazines, and other media. The data source for this research is political news leading up to the elections. Based on the data analysis conducted by the author, it can be concluded that there are three classifications of errors in semantic language analysis in political news in the Tribune Pekanbaru newspaper from the 1st to the 22nd of September 2022. First, errors due to mismatched pairs, totaling 3 data. Second, errors due to mixed-up pairs, totaling 5 data. Third, errors due to inappropriate word choices, totaling 35 data.