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All Journal Mattawang: Jurnal Pengabdian Masyarakat ARRUS Journal of Social Sciences and Humanities Online Learning in Educational Research Teknovokasi : Jurnal Pengabdian Masyarakat Jurnal MediaTIK Artificial Intelligence in Lifelong and Life-Course Education
Agusnaya, Nurrahmah
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Religion Humanities Computer Science & IT Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Development of The Application "Kita Sarjana" To Support The Academic Process of Final-Year Students at Universitas Negeri Makassar Akbar, Muh.; Agusnaya, Nurrahmah; Nirmala, Putri; Ilmah, Nurul
ARRUS Journal of Social Sciences and Humanities Vol. 4 No. 5 (2024)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/soshum3372

Abstract

The development of information and communication technology has significantly impacted higher education, including at Universitas Negeri Makassar. Students often face administrative and communication challenges during their academic journey, particularly from the proposal stage to graduation. To address these issues, the "Kita Sarjana" application was developed as an integrated digital solution. This application facilitates various academic needs, including mentoring management, document submission, registration, and financial information management. The research utilized the waterfall development model, involving analysis, design, implementation, testing, and maintenance phases. The results indicate that the application successfully enhances the efficiency of academic processes and provides a better user experience through an intuitive interface design. Thus, the "Kita Sarjana" application represents a critical innovation in supporting a digitally-driven higher education ecosystem.
Penguatan Digital Pedagogy Skills bagi Guru SMKS Handayani Gowa melalui Implementasi Edredo Berbasis Simulation-Based Learning Nirmala, Putri; Agusnaya, Nurrahmah; Rosidah, Rosidah; Wahyudi, Wahyudi; Purnamasari, Wulan
TEKNOVOKASI : Jurnal Pengabdian Masyarakat Volume 3: Issue 2 (May 2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/teknovokasi.v3i2.8526

Abstract

Training on the use of Edredo based on Simulation-Based Learning is designed to improve the digital pedagogy skills of teachers at SMKS Handayani Gowa. This activity was carried out as a response to the limited skills of teachers in implementing digital learning that is relevant to the demands of the 21st century. The training was conducted through the stages of pre-test, simulation of using Edredo, reflection, interactive discussion, digital project implementation, and post-test. The pre-test results showed that the participants' average digital pedagogy skills were low to moderate, with an average score of 2.08 to 3.17. After the training, there was a significant increase in post-test scores which ranged from 4.42 to 4.58. The results of paired samples t-test analysis showed a statistically significant difference between the pre-test and post-test scores (p < 0.001). The distribution of post-test scores centred in the high score range (4.0 to 5.0) showed an even distribution of skill improvement among the trainees. Documentation of the activities showed the participants' enthusiasm in following all stages of the training, from the simulation of using Edredo to the implementation of digital projects. Thus, the implementation of Edredo based on Simulation-Based Learning proved effective in significantly improving teachers' digital pedagogy skills at SMKS Handayani Gowa. This finding is expected to be a reference for the development of digital technology-based teacher training models in the era of the industrial revolution 4.0.
Enhancing Digital Learning in Higher Education: The Mediating Role of Academic Self-Efficacy in Motivation and Engagement Agusnaya, Nurrahmah; Wahid, Abdul; Akbar, Muh.; Hidayat M, Wahyu; Sanatang, Sanatang; Soeharto, Soeharto; Lavicza, Zsolt
Online Learning In Educational Research (OLER) Vol 4, No 2 (2024): Online Learning in Educational Research
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/oler.v4i2.505

Abstract

This study investigates the impact of Relevant and Applicable Content (RAC) and Learner Support (LS) on Motivation and Engagement (ME) in digital learning, mediated by Academic Self-Efficacy (ASE). Higher education faces challenges in maintaining student motivation and engagement along with the rapid growth of digital learning technologies. However, limited research has explored the roles of RAC and LS in this context. This study aimed to address this gap by examining ASE's mediating influence. A quantitative approach was utilized, collecting data through self-report questionnaires from 375 university students. Structural Equation Modeling (SEM) was used to analyze the relationships among variables. The results revealed that RAC and LS positively influenced ME directly and indirectly through ASE. These findings emphasize the need for relevant content and robust learner support to design effective digital learning programs. Implementing these strategies can foster motivation, engagement, and student-centred learning outcomes in higher education
School Entrepreneurship Transformation Based on Data Literacy and Augmented Reality: Capacity Building and Digital Marketing at SMAN 2 Bulukumba Hajar Dewantara; Azis, Fajriani; Akbar, Muhammad; Agusnaya, Nurrahmah; Nirmala S., Aprilianti
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.mattawang4308

Abstract

Kesenjangan pemanfaatan teknologi digital dalam pembelajaran kewirausahaan di sekolah menengah masih terlihat pada rendahnya integrasi literasi data dan media interaktif. Program pengabdian ini bertujuan memperkuat ekosistem kewirausahaan di SMAN 2 Bulukumba melalui pelatihan literasi data dan Augmented Reality (AR) yang terintegrasi dengan perancangan perangkat ajar serta strategi pemasaran digital. Metode yang digunakan adalah Participatory Action Research (PAR) dengan tahapan: identifikasi kebutuhan, sosialisasi, pelatihan (literasi data, Google Form dan pemanfaatan AI, AR untuk visualisasi produk 3D, penyusunan RPP menggunakan Magic School, dan penguatan digital marketing), pendampingan, serta evaluasi. Evaluasi kuantitatif menggunakan pre-test dan post-test yang diikuti oleh 30 peserta (guru dan siswa), sedangkan evaluasi kualitatif melalui observasi dan refleksi terstruktur. Hasil menunjukkan peningkatan signifikan pemahaman dan keterampilan: rata-rata skor naik dari 4,614 (29%) menjadi 8,901 (72%). Secara kualitatif, guru lebih percaya diri menyusun RPP berbasis teknologi dan memfasilitasi analisis data pasar, sementara siswa lebih kreatif memvisualisasikan produk dengan AR serta menerapkan strategi digital marketing. Program ini efektif meningkatkan kapasitas kewirausahaan digital di sekolah dan layak dilanjutkan melalui pelatihan lanjutan serta penguatan infrastruktur. Implikasi praktisnya, integrasi literasi data dan AR mendorong pembelajaran yang kontekstual, inovatif, dan berorientasi pasar, sekaligus menyiapkan wirausahawan muda yang adaptif di era ekonomi digital.
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.
Learning Autonomy and Effectiveness in AI-Supported Engineering Education Integrating Technology Acceptance and Motivation Haeril Anwar; Ismawati; Agusnaya, Nurrahmah; Risal, Andi Akram Nur; Rifqie, Dary Mochammad
Artificial Intelligence in Lifelong and Life-Course Education Vol 1 No 2 (2026): Artificial Intelligence in Lifelong and Life-Course Education
Publisher : PT. Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/aillce.v1i2.14

Abstract

Purpose – This study examines the influence of learning autonomy on learning effectiveness in artificial intelligence supported learning among engineering students by extending the Technology Acceptance Model with motivational and psychological factors.Design/methods/approach – A quantitative cross-sectional survey was conducted involving 90 engineering students from a public university in Indonesia who had experience using artificial intelligence tools for academic learning. Data were analyzed using partial least squares structural equation modeling to examine the relationships among perceived usefulness, self-efficacy, willingness for autonomous learning, and learning effectiveness and autonomy.Findings – The results indicate that perceived usefulness, self-efficacy, and willingness for autonomous learning all have significant positive effects on learning effectiveness and autonomy. Willingness for autonomous learning emerged as the strongest predictor, highlighting the central role of students’ internal motivation and readiness to manage their own learning processes in AI-supported environments.Research implications/limitations – The study is limited by its cross-sectional design, reliance on self-reported data, and a sample restricted to engineering students from a single institution, which may limit generalizability.Originality/value – This study extends the Technology Acceptance Model by integrating learning autonomy and motivational factors within an artificial intelligence supported learning context, offering empirical evidence to inform the design of balanced and student-centered AI-enhanced learning in higher education.
Co-Authors Abdul Wahid Adrian, Nur Wahyu Akbar, Muh. Alam, Abil Andi Akram Nur Risal Andi Dio Nurul Awalia Azis, Fajriani Haeril Anwar Hajar Dewantara ilmah, Nurul Ismawati Lavicza, Zsolt M. Miftach Fakhri Muhammad Akbar Nirmala S., Aprilianti NIRMALA, PUTRI Nurjannah, Elma Rifqie, Dary Mochammad Rosidah Rosidah Saipul Abbas Sanatang Santi Widyawati Soeharto Soeharto Wahyu Hidayat M Wahyudi Wahyudi WULAN PURNAMASARI, WULAN