Proceedings of the 4th International Conference on Law, Social Sciences, and Education, ICLSSE 2022, 28 October 2022, Singaraja, Bali, Indonesia

Research Article

Application of Data Mining to Predict Student Satisfaction in Academic and Non-Academic Services at the Universitas Terbuka through Social Media-YouTube

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  • @INPROCEEDINGS{10.4108/eai.28-10-2022.2326388,
        author={Rhini  Fatmasari and Tora  Akadira},
        title={Application of Data Mining to Predict Student Satisfaction in Academic and Non-Academic Services at the Universitas Terbuka through Social Media-YouTube},
        proceedings={Proceedings of the 4th International Conference on Law, Social Sciences, and Education, ICLSSE 2022, 28 October 2022, Singaraja, Bali, Indonesia},
        publisher={EAI},
        proceedings_a={ICLSSE},
        year={2023},
        month={1},
        keywords={social media academic and non-academic services data meaning},
        doi={10.4108/eai.28-10-2022.2326388}
    }
    
  • Rhini Fatmasari
    Tora Akadira
    Year: 2023
    Application of Data Mining to Predict Student Satisfaction in Academic and Non-Academic Services at the Universitas Terbuka through Social Media-YouTube
    ICLSSE
    EAI
    DOI: 10.4108/eai.28-10-2022.2326388
Rhini Fatmasari1,*, Tora Akadira1
  • 1: Universitas Terbuka, Indonesia
*Contact email: riens@ecampus.ut.ac.id

Abstract

Universitas Terbuka (UT) is a university with social media platforms such as Facebook, Twitter, Instagram, Google Plus, and LinkedIn to introduce and disseminate information about UT. This platform is also used as an education for students and the public. Posts on social media are fascinating to observe. The post contains various comments. The data are grouped to obtain specific patterns. It analyzes posts on social media, especially YouTube, related to student satisfaction with academic and non-academic services at Universitas Terbuka. The analysis was carried out using Text mining with the Cross Industry Standard Process for Data Mining (CRISP-DM) method. The results of the study show that of the 7,705 posts on YouTube, the most common problems raised are related to tutorials (13.49%), exams (3.38%), teachers (5.25%), modules (3.71%), applications (3.41%); non-academic (2.87%); and scholarships (0.88%). Meanwhile, in each category, student posts were found to be related to (a) satisfaction and dissatisfaction with academic and non-academic services provided by UT, (b) explaining the procedure for studying at UT, (c) announcements about the UT program, and (d) greetings to other students.