Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Vol 15 No 1: Februari 2026

Penggunaan dan Dampak dari AI terhadap Pencapaian Mahasiswa Pada Mata Kuliah Matematika

Albinur Limbong (Unknown)
Idauli Simbolon (Unknown)



Article Info

Publish Date
24 Feb 2026

Abstract

Artificial intelligence (AI) programs are now being widely used and their impact has been proven to enhance student achievement. The aim of the study is to observe the use and impact of AI on students’ achievement in Mathematics and Statistics courses. The population in this study was all students of the Faculty of Information Technology, Universitas Advent Indonesia, taking or have taken Mathematics and Statistics courses from the lecturer (the first author of this paper), totalling 191 students. The study showed that 48% of students admitted that AI could improve their academic performance, while around 44% of students became more active and satisfied in learning mathematics and statistics. However, the students’ achievements were not permanent, as 71.3% of students admitted that their achievements were not lasting. The results indicate, based on experimental research comparing the results of quizzes (which were discussed after the tests) with mid or final exam results (derived from quizzes), that there was no improvement in test scores and even no significant impact (and correlation) between quiz results and mid or final exams. In fact, the majority (60.6%) of students were unsure, disagreed, or even strongly disagreed whether the impact of AI is more positive than negative on their learning. The results of this study suggest that AI is best used as a learning tool not merely to achieve learning outcomes, but assist deep learning to improve critical thinking.

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Journal Info

Abbrev

JNTETI

Publisher

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

Description

Topics cover the fields of (but not limited to): 1. Information Technology: Software Engineering, Knowledge and Data Mining, Multimedia Technologies, Mobile Computing, Parallel/Distributed Computing, Artificial Intelligence, Computer Graphics, Virtual Reality 2. Power Systems: Power Generation, ...