Analisis Manfaat Penggunaan Aplikasi MY BEST di Universitas Bina Sarana Informatika
(Metode System Usability Scale)
DOI:
https://doi.org/10.51903/973y8a59Keywords:
Analysis, Benefit, System Usability Scale (SUS)Abstract
The advancement of information technology has had a profound impact on education, including at the Universitas Bina Sarana Informatika (UBSI), where My Best, an elearning application, was created. With this program, users may participate in a variety of academic tasks, including online attendance, discussions, assessments, assignments, and course materials. But pupils continue to face usability difficulties. The System Usability Scale (SUS) technique is used in this study to assess the usability of the My Best program. The approach included 35 current UBSI students who have been using the My Best software for more than seven semesters. According to the assessment, the average SUS score was 70, which is considered to be rather high but still needs work in terms of interface usability and user-friendliness. As a result, although the My Best app is thought to be helpful in fostering learning, improvements are needed to enhance the whole user experience.
References
Hartati, T., Hikmah, N., & Riyanto, V. (2023). Usability Engineering Analysis on My Best E-Learning Application University of Bina Sarana Informatika. Journal of Information System, Informatics and Computing, 7(2), 363. https://doi.org/10.52362/jisicom.v7i2.1279
Qamariyah, Q. (2021). PEMBELAJARAN ONLINE (DARING) DI TENGAH PANDEMI-COVID19-2021 TANTANGAN YANG MENDEWASAKAN ANAK. Jurnal Pendidikan Guru, 3(1). https://doi.org/10.47783/jurpendigu.v3i1.293
Nathanael, J., & Ramanda, K. (2024). Analisis Kepuasan Pengguna Elearning Menggunakan Metode EUCS. Adopsi Teknologi Dan Sistem Informasi (ATASI), 3(2), 33–39. https://doi.org/https://doi.org/10.30872/atasi.v3i2.1843
Rahman, A., RhamzanI, Muhammad, S., Ningrat, W., & Fahlapi, R. (2024). AUDIT SISTEM INFORMASI APLIKASI MY BEST DI UNIVERSITAS BINA SARANA INFORMATIKA MENGGUNAKAN COBIT 5. Jurnal Humaniora, Sosial Dan Bisnis, 2(0), 1–23.
Pratama, A. S., Sari, S. M., Hj, M. F., Badwi, M., & Anshori, M. I. (2023). Pengaruh Artificial Intelligence , Big Data Dan Otomatisasi Terhadap Kinerja SDM Di Era Digital 2 . Bagaimana Big Data mempengaruhi keputusan strategis terkait SDM oleh manajemen. 2(4).
Roy, Ajit. 2020. A Comprehensive Guide for Design, Collection, Analysis and Presentation of Likert and other Rating Scale Data [Online]. Link: https://www.academia.edu/43710696/BOOK_A_Comprehensive_Guide_for_Design_Collection_Analysis_and_Presentation_of_Likert_and_other_Rating_Scale_Data_ (Accessed: 14 Desember 2023)
Rachmawati, I., & Setyadi, R. (2023). Evaluasi Usability Pada Sistem Website Absensi Menggunakan Metode SUS. Journal of Information System Research (JOSH), 4(2), 551–561. https://doi.org/10.47065/josh.v4i2.2868
Ririh, K. R., Laili, N., Wicaksono, A., & Tsurayya, S. (2020). Studi Komparasi dan Analisis Swot Pada Implementasi Kecerdasan Buatan (Artificial Intelligence) di Indonesia. Jurnal Teknik Industri, 15(2), 122–133. https://ejournal.undip.ac.id/index.php/jgti/article/view/29183
