Analysis Of Student Satisfaction Level In The Faculty Of Science And Technology Using The Convolution Neural Network Method

The Faculty of Science and Technology at Labuhanbatu University is one of the leading faculties that focuses on the development of science and technology. This faculty offers various study programs designed to prepare students to face the challenges of the digital era and industrial revolution 4.0. This research, using survey and interview methods, aims to collect accurate and objective data regarding student perceptions and experiences in various aspects, such as the quality of educational services, quality of teaching, and available supporting facilities such as extracurricular activities, seminars and research projects, ease of access. information and academic support from optimal staff and teaching staff.

Authors

Publication Details

Journal
International Journal Of Science Technology & Management
Published
2024-09-30
DOI
https://doi.org/10.46729/ijstm.v5i5.1178
Primary Topic
Data Mining and Machine Learning Applications
Type
article
Field-Weighted Citation Impact
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article

Analysis Of Student Satisfaction Level In The Faculty Of Science And Technology Using The Convolution Neural Network Method

Gomal Juni Yanris, Deci Irmayani, Rifki Agus Martua
International Journal Of Science Technology & Management
Data Mining and Machine Learning Applications
article

Analysis Of Student Satisfaction Level In The Faculty Of Science And Technology Using The Convolution Neural Network Method

Gomal Juni Yanris, Deci Irmayani, Rifki Agus Martua
article en

Abstract

The Faculty of Science and Technology at Labuhanbatu University is one of the leading faculties that focuses on the development of science and technology. This faculty offers various study programs designed to prepare students to face the challenges of the digital era and industrial revolution 4.0. This research, using survey and interview methods, aims to collect accurate and objective data regarding student perceptions and experiences in various aspects, such as the quality of educational services, quality of teaching, and available supporting facilities such as extracurricular activities, seminars and research projects, ease of access. information and academic support from optimal staff and teaching staff.

International Journal Of Science Technology & ManagementVol. 5(5)
Openalex Percentile: Top 71%
Data Mining and Machine Learning Applications
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