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An Analysis of ChatGPT Response Variations to Identical Prompts Across Different Devices: A Case Study in Informatics Education A., Hermila; Bau, Rahmat Taufik R.L; Sudirman, Randi; Siyad, Abdulaziz Ahmed
VOCATECH: Vocational Education and Technology Journal Vol 6, No 2 (2025): April
Publisher : Akademi Komunitas Negeri Aceh Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38038/vocatech.v6i2.202

Abstract

AbstractThe development of artificial intelligence (AI) in education has brought about various innovations, one of which is using ChatGPT as a learning tool. However, the diversity of answers provided by ChatGPT when used on different devices is still a critical question. This study aims to analyze the variation in ChatGPT's answers to the same prompt content when used on computer devices with different specifications. This research method uses an experimental approach by comparing ChatGPT output results on five types of devices with different operating systems, processors, and BIOS. The analysis is based on the level of similarity of the sentence and the meaning of the answer, with the categories “very different” (20% similarity), “different” (50% similarity), “almost the same” (70% similarity), and “same” (90% similarity). The results show a significant variation in the answers produced, with some devices giving almost identical responses while others show differences in sentence structure and information arrangement. Hardware factors, including processor type and operating system, are thought to contribute to these differences. The implications of these findings are highly relevant in the context of secondary education, where the use of ChatGPT as a learning tool is increasing. Variations in answers can lead to differences in understanding among students using devices with different specifications, thus requiring more attention from educators and AI technology developers. This study makes an important contribution in highlighting the challenges and opportunities of applying AI in education. Recommendations include standardizing the use of AI in the classroom and developing AI models that are more consistent in responding across devices. Thus, fairness and effectiveness in using AI in education can be continuously improved. AbstrakPerkembangan kecerdasan buatan (AI) dalam dunia pendidikan telah menghadirkan berbagai inovasi, salah satunya melalui pemanfaatan ChatGPT sebagai alat bantu pembelajaran. Namun, keberagaman jawaban yang diberikan oleh ChatGPT ketika digunakan pada perangkat yang berbeda masih menjadi pertanyaan kritis. Penelitian ini bertujuan untuk menganalisis variasi jawaban ChatGPT terhadap konten prompt materi yang sama ketika digunakan di perangkat komputer dengan spesifikasi berbeda. Metode penelitian ini menggunakan pendekatan eksperimental dengan membandingkan hasil keluaran ChatGPT pada lima jenis perangkat dengan perbedaan sistem operasi, prosesor, dan BIOS. Analisis dilakukan berdasarkan tingkat kesamaan kalimat dan makna jawaban, dengan kategori "sangat berbeda" (20% kesamaan), "berbeda" (50% kesamaan), "hampir sama" (70% kesamaan), dan "sama" (90% kesamaan). Pada eksperimen ini juga digunakan chatGPT versi 3.5 free yang ada pada laptop siswa. Hasil penelitian menunjukkan bahwa terdapat variasi yang cukup signifikan dalam jawaban yang dihasilkan, dengan beberapa perangkat memberikan respons yang hampir identik, sementara yang lain menunjukkan perbedaan struktur kalimat dan susunan informasi. Faktor perangkat keras, termasuk jenis prosesor dan sistem operasi, diduga memiliki kontribusi terhadap perbedaan ini. Perangkat dengan sistem operasi dan prosesor terbaru menunjukkan kesamaan jawaban ChatGPT hingga 90%, sedangkan perangkat dengan spesifikasi rendah cenderung menghasilkan variasi lebih besar. Meskipun belum ada bukti empiris kuat, temuan ini mengindikasikan bahwa spesifikasi perangkat dapat memengaruhi konsistensi respons AI. Implikasi dari temuan ini sangat relevan dalam konteks pendidikan menengah, di mana penggunaan ChatGPT sebagai alat bantu belajar semakin meningkat. Variasi jawaban dapat menyebabkan perbedaan pemahaman di antara siswa yang menggunakan perangkat dengan spesifikasi berbeda, sehingga memerlukan perhatian lebih dari pendidik dan pengembang teknologi AI. Penelitian ini memberikan kontribusi penting dalam menyoroti tantangan dan peluang penerapan AI dalam pendidikan. Rekomendasi yang diberikan meliputi standarisasi penggunaan AI dalam kelas serta pengembangan model AI yang lebih konsisten dalam memberikan respons di berbagai perangkat. Dengan demikian, keadilan dan efektivitas pemanfaatan AI dalam dunia pendidikan dapat terus ditingkatkan).Kata Kunci: ChatGPT; variasi jawaban; kecerdasan buatan; pendidikan menengah; spesifikasi perangkat
Predicting Gen Z’s Sentiments on Gorontalo’s CulturalWisdom UsingSentiment Analysis Models A., Hermila; Bau, Rahmat Taufik R. L; Suhada, Sitti; siyad, Abdulaziz Ahmed
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 24 No. 2 (2025)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v24i2.4591

Abstract

In the digital era, Generation Z faces both opportunities and challenges in understanding and preserving local cultural wisdom. It is essential to ensure that cultural values go beyond superficial consumption in cyberspace and remain deeply valued as integral aspects of identity and history. As technological advances and globalization continue influencing young people to preserve, local culture presents an increasing challenge. This study aims to determine Generation Z’s perceptions of Gorontalo’s local cultural wisdom, focusing on the Dikili and Meeraji traditions through a sentiment analysis approach. This research method uses the Naive Bayes algorithm to analyze positive, negative, and neutral sentiments derived from text data processed through a structured pre-processing stage. The findings reveal that Generation Z’s perceptions of the Dikili and Meeraji cultures are mostly positive, reflecting a strong appreciation and acceptance of these cultural values. However, the presence of negative sentiment highlights a critical view among some members of Generation Z, who consider certain aspects of these traditions less relevant or controversial in a modern context. In addition, neutral sentiment indicates a segment of young people who may need more exposure or information to form an informed opinion. The study concludes that while Dikili and Meeraji cultures still hold value among Generation Z, a more inclusive and adaptive approach to cultural preservation is needed. The findings offer valuable insights for strategies to preserve and develop local cultural heritage in the digital age.