Ningrum, Helmi Holida Putri Puspita (2021) Penerapan Speech Recognition Pada Aplikasi Android Penentuan Level Pembelajaran Yanbu'a Jilid 1 Untuk Anak Usia Dini Menggunakan Google Speech API. Undergraduate thesis, Politeknik Negeri Jember.
![[img]](https://sipora.polije.ac.id/style/images/fileicons/text.png) |
Text (Abstract)
Abstract.pdf - Submitted Version Available under License Creative Commons Attribution Share Alike. Download (71kB) |
|
Text (Bab 1 Pendahuluan)
Bab 1 Pendahuluan.pdf - Submitted Version Available under License Creative Commons Attribution Share Alike. Download (100kB) |
|
Text (Daftar Pustaka)
Daftar Pustaka.pdf - Submitted Version Available under License Creative Commons Attribution Share Alike. Download (2MB) |
|
Text (Laporan Lengkap)
Laporan Skripsi Full.pdf - Submitted Version Restricted to Repository staff only Download (1MB) | Request a copy |
Abstract
The Yanbu'a method is one of the methods used in carrying out an activity to read the Qur'an which will later help carry out activities with good and maximum results. But the reality is that there are still many teenagers who do not understand the hijaiyah script. Therefore, Hijaya's illiteracy must be eradicated seriously. The purpose of this study is to create an android application for determining the level of learning yanbu'a volume 1 for early childhood using the Google Speech API so that it can be a forum for anyone who wants to learn and read hijaiyah letters in a fun way, especially for children. , to improve the efficiency and effectiveness of the learning system through Android smartphones. The test is carried out in 3 stages, namely Black box testing, UAT and testing by experts. Based on the results of the first test, the overall result was 51.42%. The total result for the second test was 71.42%. On the third try, the result is 100% which means all the letters have the correct answer based on the examiner's vote. Black box testing got a value of 100% while the UAT test got 70.75% results from the analysis results which amounted to 8
| Item Type: | Thesis (Undergraduate) | ||||||
|---|---|---|---|---|---|---|---|
| Contributors: |
|
||||||
| Uncontrolled Keywords: | Speech recognition,google speech API, hidden markov model | ||||||
| Subjects: | 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 458 - Teknik Informatika | ||||||
| Divisions: | Jurusan Teknologi Informasi > Prodi D4 Teknik Informatika > Tugas Akhir | ||||||
| Depositing User: | Helmi Holida Putri Puspita Ningrum | ||||||
| Date Deposited: | 12 Aug 2021 08:16 | ||||||
| Last Modified: | 12 Aug 2021 08:18 | ||||||
| URI: | https://sipora.polije.ac.id/id/eprint/6053 |
Actions (login required)
 |
View Item |
