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All Journal Mattawang: Jurnal Pengabdian Masyarakat Online Learning in Educational Research Journal of Vocational, Informatics and Computer Education Jurnal MediaTIK Media Elektrik
Nurjannah, Elma
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Humanities Computer Science & IT Control & Systems Engineering Education Engineering Public Health Social Sciences Other

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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

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

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.
AGILE DEVELOPMENT OF THE RE-QUEST INCENTIVE-BASED SURVEY APPLICATION: ENSURING ETHICAL FAIRNESS IN DATA COLLECTION Asoka Syukur, Pramudya; Miftach Fakhri , M.; Nirmala S, Aprilianti; Miftahul Jannah , Devi; Nurjannah, Elma; Dio Nurul Awalia, Andi
Jurnal Media Elektrik Vol. 22 No. 2 (2025): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v22i2.7466

Abstract

Low response rates in digital surveys due to survey fatigue and challenges in maintaining data quality. To develop an incentive-based survey application using the Agile method to enhance participation and data quality. The study used the Agile methodology within the framework of the Software Development Life Cycle (SDLC), focusing on iterative sprints for planning, analysis, design, implementation, and testing using the Black Box method to ensure application functionality and reliability. The "Re-Quest" application was successfully developed with key features such as survey management, an incentive calculator, and incentive redemption. The Agile method improved development flexibility and implementation efficiency. Fairness-based incentives, grounded in ethical principles of justice and equality, increased respondent responsiveness without compromising data quality. Testing results showed all application functionalities operated as designed. The "Re-Quest" application provides an innovative solution for improving participation and data quality in digital surveys through a fairness-based incentive approach, offering significant benefits for scientific research and education.
Enhancing Digital Learning Outcomes: The Combined Impact of Competence and Psychological Traits Nurjannah, Elma; Mangesa, Riana T; Fakhri, M. Miftach; Fajar B, Muhammad; Sanatang, Sanatang; Arifiyanti, Fitria
Online Learning In Educational Research (OLER) Vol. 5 No. 2 (2025): Online Learning in Educational Research
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/oler.v5i2.513

Abstract

The rapid shift towards digitalization, accelerated by the COVID-19 pandemic, requires a reassessment of problem-solving strategies in the education system. This study aims to investigate the interactions between Digital Competencies, Psychological Traits, Digital Readiness, and Awareness, and their combined influence on Learning Outcomes. The study utilized a quantitative, cross-sectional design, focusing on university students engaged in digital learning environments in higher education. Data were collected from 467 students through a validated online questionnaire and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results revealed that Digital Competence and Psychological Traits significantly and positively influence Learning Outcomes, both directly and indirectly through the mediating role of Digital Readiness and Awareness. The findings emphasize the need for a holistic approach in education, which integrates technical skills and psychological readiness to enhance academic success in an increasingly digital learning environment. This study also highlights the need for further research with a longitudinal design to explore the long-term effects of digital competency and awareness interventions. Recommendations for future research include examining additional factors such as social support and technology access to further strengthen digital readiness and learning outcomes
Portal Digital Berbasis Website dan AR/VR untuk Penguatan Link and Match melalui VocationalFive 4.0 di SMKN 5 Barru Baso, Fadhlirrahman; Prima, Kurnia Wahyu; Nurfauziah, Nurfauziah; Jannah, Devi Miftahul; Nurjannah, Elma
Mattawang: Jurnal Pengabdian Masyarakat Vol. 6 No. 3 (2025)
Publisher : Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.mattawang4303

Abstract

Vocational High School (SMK) graduates in Indonesia face the problem of competency mismatch with the needs of the world of work, reflected in the high open unemployment rate of 9.42% (BPS, 2023). The community service program at SMKN 5 Barru aims to increase the capacity of teachers and students by utilizing the VocationalFive 4.0 portal based on Augmented Reality (AR) and Virtual Reality (VR). A participatory action research approach was used, including needs identification, training, mentoring, and evaluation. The results showed improved skills with an average post-test score of 85.17 and increased teacher confidence in using AR/VR. The portal was also rated as relevant for publication of work, alumni tracking, and career navigation. The findings confirm the importance of digital technology integration in vocational education, which can create interactive learning and align with industry needs. This program has the potential to become a model for developing AR/VR-based learning with an alumni tracer system.
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.
Analysis of the Impact of Artificial Intelligence Technology on the Development of Students’ Academic Writing Skills in the Digital Learning Era Hidayat, Nur; Muafan, Wildan; Nurjannah, Elma; Akhmad Affandi; Rosidah
Journal of Vocational, Informatics and Computer Education Vol 3, No 2 (2025): Desember 2025
Publisher : PT. Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/csm13a29

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 Agusnaya, Nurrahmah Akhmad Affandi Andi Dio Nurul Awalia Arifiyanti, Fitria Asoka Syukur, Pramudya Baso, Fadhlirrahman Dio Nurul Awalia, Andi Haris Jannah, Devi Miftahul Kurnia Wahyu Prima M. Miftach Fakhri Mangesa, Riana T Miftahul Jannah , Devi Muafan, Wildan Muhammad Fajar B Nirmala S, Aprilianti Nur Hidayat Nurfauziah Nurfauziah, Nurfauziah Nurul Ilmi, Nurul Rezky, Muhammad Rosidah Sanatang