Published: 2024-07-01
Algoritma Natural Language Processing Untuk Aplikasi Penerjemah (Indonesia – Jawa) Menggunakan Metode Speech Processing
DOI: 10.35870/jtik.v8i3.2244
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Abstract
Javanese is one of the most widely used regional languages in Indonesia. Apart from that, in several countries such as Suriname, the Netherlands and Malaysia, Javanese is used. The aim of this research is to create a translator application, allowing users to convert speech into written text. In creating a Speech to Text translation application, the Natural Language Processing (NLP) algorithm has a major role. NLP algorithms are used to understand the structure of human language, recognize entities, and translate complex speech into readable text. This study discusses the design and development of a Speech to Text translator application using the NLP algorithm. This application uses deep learning models that have been trained to understand user language variations, accents and intonation.
Keywords
Javanese language ; Speech to Text translation ; Natural Language Processing (NLP)
Article Information
This article has been peer-reviewed and published in the Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
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Issue: Vol. 10 No. 3 (2026)
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Section: Computer & Communication Science
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Published: %750 %e, %2024
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License: CC BY 4.0
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Copyright: © 2024 Authors
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DOI: 10.35870/jtik.v8i3.2244
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Aria Andros Ghirrid
Program Studi informatika, Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional, Kota Jakarta Selatan, Daerah Khusus Ibukota Jakarta, Indonesia.
Ratih Titi Komala Sari
Program Studi informatika, Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional, Kota Jakarta Selatan, Daerah Khusus Ibukota Jakarta, Indonesia.
Rima Tamara Aldisa
Program Studi informatika, Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional, Kota Jakarta Selatan, Daerah Khusus Ibukota Jakarta, Indonesia.
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