Moh. Hasbi Assidiqi, Moh. Hasbi
Department of Multimedia Creative Electronic Engineering Polytechnic Institute of Surabaya

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

Developing Dataset Management of Speech Recognition Based Automatic English-Speaking Skill Testing System Muhammad, Aliv Faizal; Assidiqi, Moh. Hasbi; Sa’dyah, Halimatus
Journal of Educational Sciences Vol 7. No. 2. April 2023
Publisher : FKIP-Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jes.7.2.p.296-305

Abstract

Speech recognition technology has been widely used to aid English language testing, such as for pronunciation and speaking practice for various use cases including job interview simulation. We developed an app, powered by speech recognition technology and regex text processing, that automatically score participants’ speaking performance. However, this application lacks dataset management for the speaking test maker to manage the indicators of accepted answers. A feature to effectively manage the dataset and efficiently ease the speaking test creation is needed. This paper presents the development of dataset management feature to support the speech recognition based automatic English-speaking skill testing system. All elements that support the feature in development were tested through Blackbox testing with various scenarios. The elements were proven to work as intended to support the existing system. The new feature has brought efficiency for the English-speaking test maker.
A TABLET SCREEN CAST RECEIVER FOR CLASSROOM WITH LOW END ANDROID DEVICES Assidiqi, Moh. Hasbi; Muhammad, Aliv Faizal; Aji, Zarkasyi Kuncoro
JUTI: Jurnal Ilmiah Teknologi Informasi Vol 14, No. 2, Juli 2016
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24068535.v14i2.a567

Abstract

Salah satu aktivitas menggunakan tablet adalah presentasi. Saat ini, kebanyakan aktivitas presentasi dilakukan menggunakan adapter VGA untuk bisa tersambung dengan LCD Proyektor. Konfigurasi ini memungkin presentasi berbasis kabel. Dan ini adalah hal yang menyulitkan penggunaannya untuk perangkat tablet yang memiliki sifat mobilitas tinggi. Beruntung, sudah ada banyak vendor yang menyediakan sistem presentasi yang bersahabat dengan membuatnya menjadi nirkabel. Tapi sistem tersebut hanya mendukung perangkat tablet high end. Pada makalah ini, kami mengajukan sebuah penerima tablet screen cast untuk perangkat tablet android low end. Yang memiliki potensi untuk diimplementasikan di kelas. Dari eksperimen, kami memperoleh hasil 9 FPS dengan delay sebesar 2 detik.
Analysis of nutritional status and needs of 15-18 year old high school students Assidiqi, Moh. Hasbi; Mashuri, Hendra; Adnyana, I Komang Sukarata
Sriwijaya Journal of Sport Vol. 4 No. 2 (2025): Sriwijaya Journal of Sport
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55379/sjs.v4i2.28

Abstract

Research Problems: Lack of understanding of the nutritional status and needs of high school students aged 15-18 years can impact their health and academic performance, so an in-depth analysis is needed to determine nutritional adequacy and the factors that influence it. Research Objectives: This study aims to analyse the status and nutritional needs of grade 10 students of SMAS Karya Wiata Singaraja. Methods: This type of research is a type of quantitative descriptive research using the survey method. Results: Based on the results of the research, the results of the status and nutritional needs of grade 10 students of SMAS Karya Wisata Singaraja were obtained, several students had not reached optimal nutritional status. Of the total 54 students studied, 5 people or about 9% of students had severe obesity nutritional status, while 32 people or around 59% of students had good/ideal nutritional status. In addition, 12 people or about 22% of students have a mild lean nutritional status, 2 people or about 4% of students have a severely emaciated nutritional status, and 3 people or about 6% of students have a mild obese nutritional status. As for macro nutritional needs, the average carbohydrate nutritional needs of students were 455.94 grams with a median of 455 grams, the highest value of 684 grams and the lowest value of 320 grams. The average protein requirement is 113.99 grams, with a median of 111 grams, the highest value of 171 grams and the lowest value of 80 grams. Then the average fat requirement was 84.43 grams with a median of 82 grams, the highest value of 127 grams and the lowest value of 59 grams. Conclusion: So that it was concluded that the nutritional status of grade 10 students of SMAS Karya Wisata Singaraja, showed that there were still some students who had not reached the optimal nutritional status and needed treatment from Physical Health and Education teachers and the parents of students.
Developing Dataset Management of Speech Recognition Based Automatic English-Speaking Skill Testing System Muhammad, Aliv Faizal; Assidiqi, Moh. Hasbi; Sa’dyah, Halimatus
Journal of Educational Sciences Vol. 7 No. 2 (2023): Journal of Educational Sciences
Publisher : FKIP - Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jes.7.2.p.296-305

Abstract

Speech recognition technology has been widely used to aid English language testing, such as for pronunciation and speaking practice for various use cases including job interview simulation. We developed an app, powered by speech recognition technology and regex text processing, that automatically score participants’ speaking performance. However, this application lacks dataset management for the speaking test maker to manage the indicators of accepted answers. A feature to effectively manage the dataset and efficiently ease the speaking test creation is needed. This paper presents the development of dataset management feature to support the speech recognition based automatic English-speaking skill testing system. All elements that support the feature in development were tested through Blackbox testing with various scenarios. The elements were proven to work as intended to support the existing system. The new feature has brought efficiency for the English-speaking test maker.