MyPatriotic: Electronic Assessment Innovation Using the Naive Bayes Expertise Method to Measure Student Patriotic Attitudes

DOI

10.2991/978-2-38476-448-8_13How to use a DOI?

Keywords

Patriotism; Naive Bayes; Electronic Assessment; SDG 4; SDG 9; Kampus Merdeka; ADDIE; Education Technology

Abstract

This study introduces MyPatriotic, an electronic assessment system leveraging the Naive Bayes algorithm to evaluate student patriotic attitudes. Conducted with 135 students from the PPKn department at Universitas Negeri Medan (2024 cohort), the research addresses the need for engaging and effective methods to assess patriotism, a crucial component of national character education. Utilizing a quantitative approach within the ADDIE framework, the system was systematically designed, developed, and evaluated to ensure its effectiveness. Findings reveal that 80% of participants found the electronic assessment more engaging and easier to understand compared to traditional paper-based methods, citing its interactive features and real-time feedback as key benefits. The immediate feedback mechanism enabled 70% of students to identify and address areas for improvement, fostering deeper reflection on patriotic values. Furthermore, 75% of students demonstrated significant improvement in their patriotic attitudes after using the system. The Naive Bayes algorithm achieved 92% accuracy in categorizing responses, highlighting its efficiency in processing large datasets and capturing nuanced attitudes toward patriotism. These results underscore the potential of MyPatriotic to enhance student engagement, understanding, and alignment with national ideals. By integrating digital technology, this initiative aligns with Sustainable Development Goal (SDG) 4 (Quality Education) and SDG 9 (Innovation and Infrastructure) while supporting Kampus Merdeka and Merdeka Belajar programs. MyPatriotic represents a step forward in modernizing assessment methods to foster national pride and commitment among students.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Abdinur Batubara
AU  - Maryatun Kabatiah
AU  - Ramsul Nababan
AU  - Liber Siagian
PY  - 2025
DA  - 2025/07/28
TI  - MyPatriotic: Electronic Assessment Innovation Using the Naive Bayes Expertise Method to Measure Student Patriotic Attitudes
BT  - Proceedings of the 6th International Conference on Social Sciences and Interdisciplinary (ICSSIS 2024)
PB  - Atlantis Press
SP  - 121
EP  - 131
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-448-8_13
DO  - 10.2991/978-2-38476-448-8_13
ID  - Batubara2025
ER  -