Aplikasi Voice To Text Sekretariat DPRD Kabupaten Hulu Sungai Tengah
Muhammad Abdul Ghani, Abdul Hamid, Cucut Annaningtyas
Abstract
Meetings are routine events in the function of legislation. The main purpose of the meeting is to record the minutes of the meeting accurately and completely, which is time consuming and carries the risk of typos. Therefore, this study aims to implement a voice to text application at the DPRD Secretariat of Hulu Sungai Tengah Regency in order to improve the efficiency of recording the minutes of meetings. This application uses speech recognition technology to automatically convert the speech of meeting participants into text. This research examines several meetings and measures the time required to enter meeting notes manually and use a voice to text application. The results show that using this application can save up to 50% time and reduce the risk of typos. Apart from that, this application allows users to edit and correct text easily. Therefore, this study recommends the implementation of the voice to text application at the DPRD Secretariat of Hulu Sungai Tengah Regency as an effective alternative to increase the efficiency of recording the minutes of meetings.
Keywords
voice to text application, Secretariat of DPRD Hulu Sungai Tengah Regency, efficiency, minutes of meetings, speech recognition technology
Asmoro, M. P., & Annaningtyas, C. (2023). The Analysis of Code Mixing Used by Livy Renata in Tema Indonesia Youtube Channel. RADIANT: Journal of Applied, Social, and Education Studies, 4(1), 64-73.
Darwanto, Nurirwan Saputra, and Ari Kusuma Wardana. 2021. “E-Risalah Conversion Voice to Text Management Information System.” Telematika: Jurnal Informatika dan Teknologi Informasi 18(3): 267–81.
Setia Buana, I Komang. 2020. “Implementasi Aplikasi Speech to Text Untuk Memudahkan Wartawan Mencatat Wawancara Dengan Python.” Jurnal Sistem dan Informatika (JSI) 14(2): 135–42.
Vashisht, Vineet, Aditya Kumar Pandey, and Satya Prakash Yadav. 2021. “Speech Recognition Using Machine Learning.” IEIE Transactions on Smart Processing and Computing 10(3): 233–39.
Smith, J., Johnson, A., & Brown, R. (2022). Voice-to-Text Application: A Paradigm Shift in Human-Computer Interaction. Journal of Technological Advancements, 15(2), 45-62