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dc.contributor.advisorAulia, Indra
dc.contributor.advisorRahmat, Romi Fadillah
dc.contributor.authorFide, Rogate Sola
dc.date.accessioned2022-01-10T03:34:20Z
dc.date.available2022-01-10T03:34:20Z
dc.date.issued2021
dc.identifier.urihttps://repositori.usu.ac.id/handle/123456789/46650
dc.description.abstractVernacular is a variation of language used by people in a particular area. Variation of language can be seen within the school of Culture and Language Statistics with a quantitative approach and ensured through sociolinguistic methodology. Large number of vernacular existed in Indonesia, it causes communication problems or challenges, the meaning behind communication received by the communicant is not well delivered or not the same as what the communicator wants to convey. The reason behind it are the differences in cultural backgrounds. Specifically in the case of the people of North Sumatra province, especially ethnic or Toba Batak people a miscommunication problem come to place. The Batak Toba ethnic is one of the six Batak’s sub-ethnic that occupied North Sumatra province. Sociolinguist explains that the difference in distance between districts can be one of the part factors of the Toba Batak ethnic dialect which has a significant difference, namely the way of conveying information. Therefore, the author makes a translation system, especially translation in the Toba Batak language. This translation system is developed by using the Rule-Based Machine Translation method as a translator and Speech Synthesis as a text converter into audio and records are made using the Speech Recognition method. Data that being used in this translation system is based on the speech corpus that has been made in other studies using the Batak Toba language. This translation system was created with the aim of translating the Batak Toba language well so that there are no more mistakes in receiving the information. The results of implementation S2ST system obtained the average accuracy about 52%.en_US
dc.description.abstractBahasa daerah merupakan suatu variasi bahasa yang digunakan oleh masyarakat pada daerah tertentu. Variasi bahasa dapat terlihat jelas pada penelitian Statistik Kebudayaan dan Bahasa dengan pendekatan kuantitatif serta tervalidasi melalui metodologi sosiolinguistik. Dengan banyaknya jumlah variasi bahasa daerah yang ada di Indonesia akan menimbulkan masalah atau tantangan komunikasi yaitu makna informasi yang diterima oleh komunikan tidak tersampaikan oleh komunikator karena terdapat perbedaan latar belakang budaya dalam kasus masyarakat provinsi Sumatera Utara, khususnya etnis atau suku bangsa Batak Toba. Etnis Batak Toba merupakan salah satu dari enam sub etnis Batak yang berada di provinsi Sumatera Utara. Ilmu sosiolinguistik menjelaskan perbedaan jarak antar kabupaten tersebut dapat menjadik salah satu faktor dialek etnis Batak Toba yang memiliki perbedaan secara signifikan, yaitu dari cara menyampaikan informasi sehingga timbul suatu masalah yakni miskomunikasi, khususnya pada saat masyarakat pendatang ingin berkomunikasi dengan etnis tersebut. Guna mengatasi masalah tersebut, penelitian ini mengusulkan penerapan sistem Speech To Speech Translation (S2ST) khususnya mentranslasikan dialek audio Bahasa Batak Toba menuju Bahasa Indonesia. Sistem translasi ini dibuat dengan landasan pada sistem Rule-Based Machine Translation (RBMT) sebagai penerjemah Bahasa Batak Toba menuju Bahasa Indonesia dan Speech Synthesis sebagai penggenerasian data teks menjadi audio serta record yang dibentuk menggunakan metode Speech Recognition. Hasil penerapan pada sistem S2ST tersebut mendapatkan total hasil rata – rata akurasi sebesar 52%.en_US
dc.language.isoiden_US
dc.publisherUniversitas Sumatera Utaraen_US
dc.subjectBatak Tobaen_US
dc.subjectSpeech To Speech Translationen_US
dc.subjectRule-Based Machine Translationen_US
dc.subjectSpeech Synthesisen_US
dc.subjectSpeech Recognitionen_US
dc.titlePenerapan Speech to Speech Translator Bahasa Batak Toba - Indonesiaen_US
dc.typeThesisen_US
dc.identifier.nimNIM171402138
dc.description.pages241 Halamanen_US
dc.description.typeSkripsi Sarjanaen_US


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