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All Journal Information Technology Education Journal Jurnal MediaTIK Jurnal MEKOM: Media Komunikasi Pendidikan Kejuruan
Andi Dio Nurul Awalia
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Peningkatan Restorasi Citra Dengan Metode Super Resolusi Menggunakan Teknik FSRCNN Andi Dio Nurul Awalia; Nurfaisa Riono; Abd Majid; Ainun Mardiah; Marwan Ramdhany Edy
Information Technology Education Journal Vol. 3, No. 3, September (2024)
Publisher : Jurusan Teknik Informatika dan Komputer

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Abstract

Penggunaan metode Super Resolusi dengan teknik Fast Super-Resolution Convolutional Neural Network (FSRCNN) telah menjadi salah satu fokus utama dalam pengolahan citra untuk meningkatkan kualitas gambar. FSRCNN, sebagai metode berbasis deep learning, telah terbukti memberikan hasil yang menjanjikan pada tugas super-resolusi citra tunggal (SISR). Penelitian ini mengkaji penggunaan metode Super Resolusi dengan teknik FSRCNN dalam peningkatan kualitas citra. Selain itu, penelitian ini juga membahas landasan teori dari metode Super Resolusi dan teknik FSRCNN, implementasi praktisnya dalam pengolahan citra, serta evaluasi hasil yang diperoleh dari penerapan metode ini. Hasil penelitian menunjukkan bahwa FSRCNN mampu meningkatkan kualitas citra dengan mempertimbangkan berbagai aspek dalam proses super-resolusi.
Pengaruh Perceived Usefulness dan Ethical Considerations terhadap Adopsi Chatbot Generatif di Pendidikan Tinggi: The Effect of Perceived Usefulness and Ethical Considerations on Generative Chatbot Adoption in Higher Education Adila Wafia Dahlan; Stelani Yunianti; Muh. Akbar; Andi Dio Nurul Awalia; Aprilianti Nirmala S.
Jurnal MediaTIK Volume 8 Issue 2, Mei (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

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Penelitian ini bertujuan untuk menganalisis pengaruh perceived usefulness dan ethical considerations terhadap adopsi chatbot generatif di kalangan mahasiswa pendidikan tinggi. Penelitian ini menggunakan pendekatan kuantitatif dengan desain survei cross-sectional. Sampel penelitian terdiri dari 85 mahasiswa dari berbagai perguruan tinggi di Indonesia yang dipilih dengan teknik stratified random sampling berdasarkan jenis perguruan tinggi (negeri dan swasta). Data dikumpulkan melalui kuesioner daring yang memuat tiga variabel utama: perceived usefulness, perceived concerns, dan ethical considerations, dengan skala Likert 5 poin. Hasil analisis deskriptif menunjukkan bahwa mahasiswa memiliki persepsi positif terhadap manfaat penggunaan chatbot generatif, dengan nilai mean tertinggi sebesar 3,66 pada perceived usefulness. Namun, terdapat tingkat kekhawatiran yang moderat pada perceived concerns, dengan nilai mean tertinggi 3,84, serta tingkat kesadaran etis yang bervariasi pada ethical considerations, dengan nilai mean tertinggi 3,67. Temuan ini menegaskan pentingnya edukasi yang menekankan literasi digital dan etika penggunaan teknologi bagi mahasiswa agar pemanfaatan chatbot generatif dapat dilakukan secara optimal dan bertanggung jawab. Penelitian ini memberikan kontribusi bagi pengembangan kebijakan pendidikan tinggi dalam pemanfaatan teknologi AI generatif yang beretika, efektif, dan sesuai kebutuhan mahasiswa di era digital.
Risiko Cyberbullying di Instagram: Studi Persepsi Mahasiswa Terhadap Risiko, Pengalaman, dan Regulasi Pencegahannya: Risk of Cyberbullying on Instagram: A Study of Students' Perceptions of Risks, Experiences, and Preventive Regulations Rezky, Muhammad; Ilmi, Nurul; Nurjannah, Elma; Andi Dio Nurul Awalia; Haris
Jurnal MediaTIK Volume 8 Issue 2, Mei (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

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Cyberbullying di Instagram telah menjadi masalah yang semakin mengkhawatirkan dalam beberapa tahun terakhir. Penelitian ini bertujuan untuk mengidentifikasi faktor-faktor penyebab cyberbullying di platform tersebut serta dampaknya terhadap kondisi psikologis pengguna, khususnya di kalangan mahasiswa. Penelitian ini menggunakan pendekatan kuantitatif dengan desain cross-sectional. Data dikumpulkan melalui kuesioner yang diisi oleh 100 mahasiswa dari jurusan Teknik Informatika dan Komputer yang memiliki pengalaman terkait cyberbullying. Instrumen penelitian menggunakan skala Likert untuk mengukur persepsi responden mengenai berbagai bentuk dan dampak cyberbullying. Hasil penelitian menunjukkan bahwa penggunaan media sosial yang berlebihan, norma sosial di kalangan pengguna, dan kecanduan terhadap media sosial berkontribusi terhadap munculnya perilaku cyberbullying. Selain itu, sebagian besar responden melaporkan dampak psikologis negatif akibat pengalaman tersebut. Penelitian ini menyarankan pentingnya regulasi yang lebih ketat dari platform media sosial dan edukasi etika komunikasi untuk mengurangi dampak negatif cyberbullying. Penelitian ini berkontribusi dalam memahami keterkaitan antara norma sosial, penggunaan media sosial, dan etika komunikasi dalam upaya pencegahan cyberbullying di Instagram, serta merekomendasikan pendekatan edukatif untuk meningkatkan kesadaran akan dampak psikologis cyberbullying, khususnya di kalangan mahasiswa Teknik Informatika.
Evaluation of the Influence of Technology Adoption Model Factors on the Successful Implementation of Artificial Intelligence Applications in Online Learning Akis, Dwi Ihza Sari; Andi Rhyta Samantha Valda; Rizky Aulia; Rosidah; Andi Dio Nurul Awalia
Jurnal MediaTIK Volume 8 Issue 3, September (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

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Abstract

This research evaluates the successful implementation of artificial intelligence (AI) applications in online learning using the Technology Adoption Model approach. The main issues raised were how AI applications can influence student engagement and motivation to learn, and how challenges such as network stability and trust in data security can be overcome. A quantitative research method with a cross-sectional design involved 93 college students aged 18-22 who had experience using AI applications. Data were collected through a Likert scale questionnaire, covering aspects of convenience, ease of use, impact, trust, technical support, motivation, challenges, and influence on learning outcomes. The results showed that the AI application had a positive impact in increasing students' learning engagement and motivation. Respondents generally feel comfortable using this application and rate the technology as easy to use. However, challenges such as adaptation constraints, network stability, and doubts about data security are still obstacles. In conclusion, although the implementation of AI applications in online learning has shown positive results, improvements are needed on technical and privacy aspects to maximize the acceptance and effectiveness of this technology. This research makes an important contribution to the development of better AI implementation strategies in online education.
Analysis of Gamification Implementation in E-Learning Models on the Psychology of Engineering Major Students Putri Fariza; Sofyan, Vina Annisa; Rosidah; Andi Dio Nurul Awalia; Annajmi Rauf; Elma Nurjannah
Jurnal MEKOM (Media Komunikasi Pendidikan Kejuruan) Volume 12, Issue 2, August 2025
Publisher : Fakultas Teknik, Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/mkpk.v12i2.9897

Abstract

Gamification is one of the learning strategies in education that can increase students’ interest and motivation in the learning process. The application of gamification is implemented in the E-learning model. In general, students do not enjoy repetitive tasks over long periods of time, yet they are willing to spend a considerable amount of time playing games. This study aims to understand the psychology of students regarding the implementation of gamification across all Engineering Departments at Universitas Negeri Makassar. This descriptive research model was conducted to examine students’ responses after its implementation. Students from Universitas Negeri Makassar in all Engineering Departments participated using a Google Form questionnaire with 15 statements as the data collection method. Data were obtained through a Likert Scale and analyzed using qualitative descriptive statistics. This analysis was intended to describe the characteristics of each variable. The results of this study indicate that the implementation of gamification in E-learning can enhance students’ active learning performance and has a significant impact on the psychology of each student.
The Role of Artificial Intelligence in Improving Students' Self-Regulated Learning through Adaptive Feedback in Facing Socioeconomic Inequality Nurjannah, Elma; Andi Dio Nurul Awalia; Agusnaya, Nurrahmah; Fakhri, M. Miftach
Jurnal MediaTIK Volume 8 Issue 3, September (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/mediatik.v8i3.10808

Abstract

The transformation of higher education through artificial intelligence is increasingly relevant in addressing the challenges of access, quality, and diversity of student learning needs. Although this technology promises a more adaptive and personalized learning experience, its use is still influenced by socioeconomic inequalities that create gaps in access to and perceptions of technology. This study aims to analyze how artificial intelligence, through cognitive and affective feedback, can improve students' independent learning abilities, with motivation as an intermediary variable and socioeconomic status as an external factor that influences the effectiveness of technology utilization. This study uses a quantitative approach with a cross-sectional design. The instrument, in the form of a structured questionnaire with a Likert scale, was distributed to 450 students from various universities in Indonesia. The questionnaire was compiled based on theoretical indicators from five main constructs and validated through convergent validity and construct reliability tests using outer loading and average variance extracted. The data were analyzed using partial least squares structural equation modeling to test direct and indirect causal relationships, as well as the mediating role between variables. The main results show that artificial intelligence supports students in understanding material in a structured manner and increases emotional engagement, which ultimately strengthens self-regulation and meaning-making in the learning process. Motivation was found to be a significant link between technology and learning outcomes, while socioeconomic background significantly influenced the intensity of technology use. This study concludes that artificial intelligence can be an effective and inclusive learning innovation if it is developed with consideration of cognitive, affective, motivational, and social inequality aspects in education.
Co-Authors Abd Majid Adila Wafia Dahlan Agusnaya, Nurrahmah Ainun Mardiah Akis, Dwi Ihza Sari Aminuddin, Amin Andi Rhyta Samantha Valda Annajmi Rauf Aprilianti Nirmala S. Della Fadhilatunisa Elma Nurjannah Elsa Natasya Haris M. Miftach Fakhri Marwan Ramdhany Edy Muh. Akbar Muh. Yusril Anam Nabilah Rahman Nurfaisa Riono Nurjannah, Elma Nurmila Nurul Ilmi, Nurul Nurul Islamia Pramudya Asoka Syukur Putri Fariza Rezky, Muhammad Rizky Aulia Rosidah Sofyan, Vina Annisa Stelani Yunianti