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30 results on '"Farell, Geovanne"'

1. User Interface Analysis on Job Matching Information System Using Eight Golden Rules

Author

Thamrin, Farell, Geovanne, Jaya, Putra, Hadi, Ahmaddul, Rahmadika, Sandi, Striełkowski, Wadim, Editor-in-Chief, Black, Jessica M., Series Editor, Butterfield, Stephen A., Series Editor, Chang, Chi-Cheng, Series Editor, Cheng, Jiuqing, Series Editor, Dumanig, Francisco Perlas, Series Editor, Al-Mabuk, Radhi, Series Editor, Scheper-Hughes, Nancy, Series Editor, Urban, Mathias, Series Editor, Webb, Stephen, Series Editor, Handhika, Jeffry, editor, Lukitasari, Marheny, editor, Ricahyono, Sigit, editor, and Nugraha, Dewanta Arya, editor

Published
2023
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2. Recent Challenges in a New Distributed Learning Paradigm

Author

Rahmadika, Sandi, Fajri, Bayu Ramadhani, Farell, Geovanne, Hadi, Ahmaddul, Budayawan, Khairi, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, You, Ilsun, editor, Kim, Hwankuk, editor, and Angin, Pelin, editor

Published
2023
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4. Heuristic Evaluation of the Sport Analysis Application Interface.

Author

Ihsan, Nurul, Okilanda, Ardo, Sepriadi, Farell, Geovanne, bin Zakaria, Jaffry, and Mohamed Shapie, Mohamad Nizam

Subjects
USER interfaces, STUDENT financial aid, HEURISTIC, SPORTS, QUESTIONNAIRES, SAMPLE size (Statistics)
Abstract

Copyright of Retos: Nuevas Perspectivas de Educación Física, Deporte y Recreación is the property of Federacion Espanola de Asociaciones de Docentes de Educacion Fisica and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2024
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7. Analysis of Instruments for Implementing Intelligent Job Matching Models.

Author

Farell, Geovanne, Wahyudi, Rido, Novid, Igor, Faiza, Delsina, and Anori, Sartika

Subjects
*VOCATIONAL high schools, *VOCATIONAL school students, *EDUCATIONAL relevance, *HIGH school students, *JOB fairs
Abstract

Vocational high schools in Indonesia face challenges in producing graduates who meet the needs of the job market. The link and match policy along with the Job Matching system are proposed to enhance curriculum relevance to the workforce. The intelligent job matching model, which integrates machine learning technology, is expected to provide job recommendations aligned with graduates' competencies. Data analysis techniques used include qualitative and quantitative statistical analysis, encompassing Validity Analysis, Practicality Analysis, and Effectiveness Analysis. The intelligent job matching model has proven effective in assisting in matching vocational high school students' competencies with workforce demands in the industry. In the 2023 job fair, the success ratio of students invited for interviews until the employment process reached 53.13%, exceeding the Ministry of education and culture's target of 40%. This indicates that the model can provide job recommendations accurately enough, aiding in improving the direct employment rate of vocational high school students. Research indicates that the intelligent job matching model is effective in facilitating students' transition to the workforce. The model has been tested for validity, practicality, and effectiveness in enhancing students' employability and strengthening the relationship between education and industry. [ABSTRACT FROM AUTHOR]

Published
2024
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19. Design and Development E-Mading System For Information Students

Author

Farell, Geovanne, Novid, Igor, Rahmadika, Sandi, Farell, Geovanne, Novid, Igor, and Rahmadika, Sandi

Abstract

This study aims to facilitate the provision of information and reduce the amount of paper use in the Department of Electronics Engineering, Faculty of Engineering, Padang State University. With the large amount of paper used to provide information on conventional e-mading, it causes too much paper to be wasted and not too effective in providing information. With the large amount of paper wasted also causes inefficient time. Because too much information and announcements reported to the Electronics Engineering Department cannot be managed by admin in the Department of Eletronics, Faculty of Engineering, Padang State University. Therefore, for now there is a need for a digital madding to manage information and reduce the amount of paper usage. There are 2 methods used in this study are Data Collection Methods and System Development Methods. This Data Collection Method uses interview and observation techniques, while the System Development Method uses USDP. In this study using the USDP method, where this method can do an object-oriented software development, design and analysis of software design using the UML approach (Unifed Modeling Language)

Published
2022

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