Work

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

Year: 2024

Type: article

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.

Source: International Journal Of Science Technology & Management

DOI: 10.46729/ijstm.v5i5.1178

Authors: Rifki Agus Martua, Deci Irmayani, Gomal Juni Yanris

Language: English

Topic: Educational Outcomes and Influences

Subfield: Education

Field: Social Sciences

Domain: Social Sciences

SDG: Quality education

Open Access status: diamond

OpenAlex ID: W4403769581

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