International Journal Of Science, Technology & Management (IJSTM)
Vol. 5 No. 5 (2024): September 2024

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

Martua , Rifki Agus (Unknown)
Irmayani , Deci (Unknown)
Yanris, Gomal Juni (Unknown)

Article Info

Publish Date
30 Sep 2024

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.

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Journal Info
International Journal Of Science, Technology & Management (IJSTM)
Website

Abbrev

ijstm

Publisher

CV. Inara

Subject

Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation

Description

International Journal of Science, Technology & Management (IJSTM) is an international scholarly refereed research journal which aims to promote the theory and practice of science, technology, innovation, engineering and ...