Semantic error analysis of instagram machine translation from Indonesian to English

This study aims to know the translation error in semantic aspects. Some of them are referential, grammatical, and contextual meaning on the translation that is produced by instagram machine translation by using the descriptive-qualitative method according to Sayogie theory.The data, namely, caption are taken from HTI?s instagram account regarding their postings in responding the Islamic defensive action of 2016. The three data are compared to the target language by recognising the translation errors of semantic aspects. As the result, the analyzed data show two translation errors occur to referential meaning, the twenty two translation errors occur to grammatical meaning, while nineteen translation errors occur to contextual meaning. The translation errors that mostly appear of each datum are grammatical and contextual meaning. The all translation errors show that instagram machine translation cannot produce a good translation, and human as a translator still have crucial role in translating. Therefore, as human, we should not expect more to the instagram machine translation to produce a good translation. The quality of Instagram machine translation cannot translate well of the grammatical and contextual meaning