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All Journal Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research
Ridho Fajar Fahturohman
Universitas Pembangunan Nasional “Veteran” Jawa Timur
Humanities Economics, Econometrics & Finance Education Social Sciences Other

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Implementasi Speech to Text untuk Mempermudah Catatan Praktik Diagnosis Pasien Dengan Metode NLP Ridho Fajar Fahturohman; Nafis Pratama Putra; Panggih Santri; Anggraini Puspita Sari
MISTER: Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research Vol. 1 No. 3c (2024): JULI (Tambahan)
Publisher : UNIVERSITAS SERAMBI MEKKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/mister.v1i3c.1935

Abstract

Medical diagnoses in students' field study practice activities are very important, as data in preparing field study practice reports. The large amount of diagnostic data that has to be retyped manually makes time ineffective. Based on this problem, this research implements Speech to Text (STT), a feature that can convert voice into text using the Natural Language Processing (NLP) method using the Python programming language. The NLP method is used in this research because its role is to interpret a language, both written and spoken, so it really supports the operation of STT. Students just need to record the diagnostic conversation with the patient, then the .wav format file is processed in a system that will provide written output, so students just have to copy it into a report. The test used some audio files that had different durations and noise levels. The system can convert voice into text with a success percentage of 93,34%.
Co-Authors Anggraini Puspita Sari Nafis Pratama Putra Panggih Santri