Article Per Year (5 Year)
p-Index From 2020 - 2025
1.649
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering TELKOMNIKA (Telecommunication Computing Electronics and Control) Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika JISA (Jurnal Informatika dan Sains) Indonesian Journal of Electrical Engineering and Computer Science International Journal of Islamic Khazanah Gunung Djati Conference Series
Dian Sa’adillah Maylawati
Department Of Informatics, UIN Sunan Gunung Djati Bandung
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

Published : 8 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : International Journal of Electrical and Computer Engineering

 1 
Data science for digital culture improvement in higher education using K-means clustering and text analytics Dian Sa'adillah Maylawati; Tedi Priatna; Hamdan Sugilar; Muhammad Ali Ramdhani
International Journal of Electrical and Computer Engineering (IJECE) Vol 10, No 5: October 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1246.5 KB) | DOI: 10.11591/ijece.v10i5.pp4569-4580

Abstract

This study aims to investigate the meaningful pattern that can be used to improve digital culture in higher education based on parameters of the technology acceptance model (TAM). The methodology used is the data mining technique with K-means algorithm and text analytics. The experiment using questionnaire data with 2887 respondents in Universitas Islam Negeri (UIN) Sunan Gunung Djati Bandung. The data analysis and clustering result show that the perceived usefulness and behavioral intention to use information systems are above the normal value, while the perceived ease of use and actual system use is quite low. Strengthened with text analytics, this research found that the EDA and K-means result in harmony with the hope or desire of academic society the information system implementation. This research also found how important the socialization and guidance of information systems, especially the new one information system, in order to improve digital culture in higher education.
Co-Authors Achmad Kholiq Adi Putra Andriyandi Ali, Hapid Cepy Slamet Fauziah Binti Kasmin Ghifari Munawar Hamdan Sugilar Imam Fahmi Fadillah Melani Nur Mudyawati Muhammad Ali Ramdhani Muhammad Humam Wahisyam Riki Ahmad Maulana Septya Egho Pratama Siah Khosyi'ah Suharjanto Utomo Teddy Mantoro Tedi Priatna Tju, Teja Endra Eng Wahyudin Darmalaksana Wildan Budiawan Zulfikar Yogan Jaya Kumar