Article Per Year (5 Year)
p-Index From 2021 - 2026
0.947
P-Index
This Author published in this journals
All Journal Journal of Embedded Systems, Security and Intelligent Systems Artificial Intelligence in Educational Decision Sciences Journal of Vocational, Informatics and Computer Education
Elma Nurjannah
Universitas Negeri Makassar
Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Social Sciences

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : journal of vocational informatics and computer education

 1 
Investigasi Persepsi Mahasiswa terhadap ChatGPT dalam Model Blended Learning pada Pembelajaran Matematika Hersiyati Palayukan; Hajar Dewantara; Elma Nurjannah; Offiler Pebrian; Sarmila; Thariq Al Ayyubi
Journal of Vocational, Informatics and Computer Education Vol 2, No 1 (2024): Juni 2024
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/voice.v2i1.25

Abstract

Pengembangan teknologi kecerdasan buatan, terutama pemanfaatan ChatGPT, menciptakan dampak signifikan dalam dunia akademik dan pendidikan. Penelitian ini bertujuan untuk menginvestigasi persepsi mahasiswa terhdap penggunaan chatGPT pada pembelajaran matematika terutama dalam model blended learning. Penelitian berfokus pada bagaimana penggunaan alat kecerdasan buatan ini dapat mempengaruhi perolehan keterampilan berpikir kritis, pemecahan masalah, dan kerja kelompok di kalangan siswa, serta mengetahui tentang keandalan, dan pentingnya alat ini di dunia akademis. Penelitian ini menggunakan metode kuantitatif dengan pendekatan cross-sectional, dengan 91 responden pada kuesioner sebagai instrumen pengumpulan data. Hasil analisis deskriptif, termasuk presentasi statistik seperti mean, median, modus, sum, max, dan min, menunjukkan bahwa rata-rata 3,34 berpendapat sebagian mahasiswa terhadap ChatGPT sebagai alat yang andal untuk jawaban teori matematika, meskipun ada keraguan terkait kemampuannya dalam menangani perhitungan numerik yang kompleks. Sementara itu, sebagian mahasiswa lainnya, dengan rata-rata 3,68, mengekspresikan pandangan positif terhadap potensi ChatGPT sebagai alat yang penting dalam dunia akademis. Dapat disimpulkan bahwa pemanfaatan ChatGPT dalam pembelajaran matematika, terutama melalui model blended learning, memberikan dampak positif yang signifikan terhadap efektivitas pembelajaran. Rekomendasi utama fokus pada pengembangan kemampuan ChatGPT agar lebih adaptif terhadap kebutuhan pembelajaran, sambil tetap mengakui peran penting pengajar dan pengalaman langsung, sehingga menjadi pedoman terhadap kemajuan teknologi, khususnya di Indonesia.
Analisis Pengaruh Chatbot AI terhadap Pengalaman Mahasiswa Menggunakan E-commerce Israwati Hamsar; Nur Febrianti; Amelia Uswatun Khasanah; Annajmi Rauf; Elma Nurjannah
Journal of Vocational, Informatics and Computer Education Vol 2, No 2 (2024): December 2024
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/voice.v2i2.20247

Abstract

As e-commerce platforms increasingly adopt AI technologies, the effectiveness of chatbot integration in enhancing user experience among students remains underexplored. This study aims to analyze the impact of AI-powered chatbots on the shopping experience of university students in Makassar. Using a quantitative approach, data were collected via structured questionnaires from 88 student respondents and analyzed through descriptive and inferential methods. The findings reveal that students perceived the chatbot as highly capable of solving complex inquiries, offering relevant solutions, and delivering efficient service. The chatbot's responsiveness and ease of use received high average scores, indicating strong user satisfaction. Furthermore, the chatbot positively influenced customer satisfaction, including increased purchase intention and likelihood to recommend. These results suggest that AI chatbots significantly contribute to enhancing service quality in e-commerce and should be strategically utilized to meet the expectations of young digital consumers.
Analysis of the Impact of Artificial Intelligence Technology on the Development of Students’ Academic Writing Skills in the Digital Learning Era Nur Hidayat; Wildan Muafan; Elma Nurjannah; Akhmad Affandi; Rosidah
Journal of Vocational, Informatics and Computer Education Vol 3, No 2 (2025): December 2025
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/voice.v3i2.261

Abstract

The rapid advancement of Artificial Intelligence (AI) has transformed academic practices, particularly in supporting the development of students’ academic writing. However, empirical evidence explaining how AI utilization, automatic feedback, and personalized learning contribute to writing performance in higher education remains limited. This study examines the effects of AI utilization, AI-based automatic feedback, and AI-driven personalized learning on Students’ Academic Writing Skills (SAWS). Using an explanatory quantitative approach with a cross-sectional design, data were collected from 88 Indonesian university students through purposive sampling. Partial Least Squares–Structural Equation Modeling (PLS-SEM) was employed to evaluate the measurement and structural models. The findings show that Automatic Feedback Based on AI (AFBAI) is the strongest predictor of SAWS (β = 0.531; p = 0.000). The Utilization of AI Technology (UAIT) also has a significant positive effect (β = 0.290; p = 0.007), indicating that frequent use of AI tools contributes to improved writing skills. Conversely, Personalized Learning Based on AI (PLBAI) has no significant direct effect (β = 0.053; p = 0.350). The structural model demonstrates substantial predictive power with an R² value of 0.660. AI technologies play an essential role in enhancing academic writing performance, especially through automated feedback and consistent utilization. However, AI-driven personalized learning systems still require further optimization and deeper user engagement to meaningfully support the development of complex writing competencies.
Co-Authors Akhmad Affandi Amelia Uswatun Khasanah Annajmi Rauf Fredi Ganda Putra Hajar Dewantara Hersiyati Palayukan Israwati Hamsar Muh Galang Nusantara Muhammad Fikri Aqil Nur Febrianti Nur Hidayat Offiler Pebrian Rafiqah Ameliah Kasim Rosidah Rosidah Saipul Abbas Sarmila Siti Fatimah Azzahra Namar Thariq Al Ayyubi Wildan Muafan