PUTRI, YOLANDA KURNIA (2025) DAMPAK PENGGUNAAN ARTIFICIAL INTELLIGENCE (AI) TERHADAP MINAT BELAJAR DAN KEMAMPUAN EKSPLORASI IDE SERTA POLA DATA (Studi Kasus: Fakultas Teknik Universitas Sultan Ageng Tirtayasa). S1 thesis, Fakultas Teknik Universitas Sultan Ageng Tirtayasa.
![[img]](https://eprints.untirta.ac.id/style/images/fileicons/text.png) |
Text (Fulltext)
Yolanda Kurnia Putri_3333210092_Fulltext.pdf Restricted to Registered users only Download (4MB) |
|
Text (Bab 1)
Yolanda Kurnia Putri_3333210092_1.pdf Restricted to Registered users only Download (6MB) |
|
Text (Bab 2)
Yolanda Kurnia Putri_3333210092_2.pdf Restricted to Registered users only Download (5MB) |
|
Text (Bab 3)
Yolanda Kurnia Putri_3333210092_3.pdf Restricted to Registered users only Download (1MB) |
|
Text (Bab 4)
Yolanda Kurnia Putri_3333210092_4.pdf Restricted to Registered users only Download (5MB) |
|
Text (Bab 5)
Yolanda Kurnia Putri_3333210092_5.pdf Restricted to Registered users only Download (1MB) |
|
Text (Bab 6)
Yolanda Kurnia Putri_3333210092_6.pdf Restricted to Registered users only Download (244kB) |
|
Text (Daftar Referensi)
Yolanda Kurnia Putri_3333210092_Ref.pdf Restricted to Registered users only Download (2MB) |
|
Text (Lampiran)
Yolanda Kurnia Putri_3333210092_Lamp.pdf Restricted to Registered users only Download (1MB) |
|
Text (Cek Plagiasi)
Yolanda Kurnia Putri_3333210092_CP.pdf Restricted to Registered users only Download (27MB) |
Abstract
In recent years, Artificial Intelligence (AI) has rapidly developed and brought significant changes to various sectors, including education. Although AI offers many advantages, its use can lead to biased information, which may negatively affect students’ learning comprehension. This study aims to examine the impact of AI usage on students' learning interest and their ability to explore ideas and data patterns. A quantitative research method was applied using Partial Least Square Structural Equation Modeling (PLS-SEM). Data were gathered through questionnaires from active students in the Faculty of Engineering. The findings reveal that AI usage has a positive and significant effect on learning interest, with a path coefficient of 0.818 and a p-value of 0.000 (<0.05). Additionally, AI also positively and significantly affects students' ability to explore ideas and analyze data patterns, with a path coefficient of 0.796 and a p-value of 0.000. This research is expected to support educational institutions in optimizing AI-based learning strategies.
| Item Type: | Thesis (S1) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Contributors: |
|
|||||||||
| Additional Information: | Dalam beberapa tahun terakhir, Artificial Intelligence (AI) telah berkembang pesat dan memberikan dampak besar di berbagai bidang, termasuk pendidikan. Meski bermanfaat, penggunaan AI berpotensi menimbulkan masalah karena pelajar dapat menerima informasi yang bias, yang berdampak negatif pada pemahaman mereka. Penelitian ini bertujuan untuk menganalisis dampak penggunaan AI terhadap minat belajar dan kemampuan eksplorasi ide serta pola data mahasiswa. Metode yang digunakan adalah kuantitatif dengan teknik analisis Partial Least Square Structural Equation Modeling (PLS-SEM). Data diperoleh melalui kuesioner dari mahasiswa aktif di Fakultas Teknik. Hasil penelitian menunjukkan bahwa penggunaan AI memiliki dampak positif dan signifikan terhadap minat belajar, dengan nilai path coefficient sebesar 0.818 dan p-values 0,000 (<0,05). Selain itu, AI juga berpengaruh positif dan signifikan terhadap kemampuan eksplorasi ide dan pola data, dengan path coefficient 0.796 dan p-values 0,000. Penelitian ini diharapkan dapat menjadi rujukan bagi institusi pendidikan dalam merancang strategi pembelajaran berbasis AI yang efektif. | |||||||||
| Subjects: | H Social Sciences > HD Industries. Land use. Labor T Technology > T Technology (General) |
|||||||||
| Divisions: | 03-Fakultas Teknik > 26201-Jurusan Teknik Industri | |||||||||
| Depositing User: | Yolanda Kurnia Putri | |||||||||
| Date Deposited: | 06 Aug 2025 01:06 | |||||||||
| Last Modified: | 06 Aug 2025 01:06 | |||||||||
| URI: | http://eprints.untirta.ac.id/id/eprint/53577 |
Actions (login required)
 |
View Item |