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All Journal Jurnal Pendidikan Akuntansi Indonesia Indonesian Journal of Educational Studies International Journal of Education Lentera Pendidikan : Jurnal Ilmu Tarbiyah dan Keguruan SIGMA: Jurnal Pendidikan Matematika MaPan : Jurnal Matematika dan Pembelajaran Formatif: Jurnal Ilmiah Pendidikan MIPA Southeast Asian Mathematics Education Journal Jurnal Ilmiah Akuntansi Peradaban Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran EduLine: Journal of Education and Learning Innovation Issues in Mathematics Education (IMED) Seminar Nasional Pengabdian Kepada Masyarakat Edutainment : Jurnal Ilmu Pendidikan dan Kependidikan Jurnal Pendidikan Terapan Seminar Nasional Hasil Penelitian LP2M UNM Journal of Contemporary Issues in Elementary Education Jurnal Hasil-Hasil Pengabdian dan Pemberdayaan Masyarakat (JHP2M) Jurnal Sipakatau Journal of Vocational, Informatics and Computer Education Journal of Applied Artificial Intelligence in Education
Rosidah Rosidah
Universitas Negeri Makassar
Religion Arts Humanities Chemistry Computer Science & IT Dentistry Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Veterinary Other

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Analisis Computational Thinking Mahasiswa JTIK (Jurusan Teknik Informatika dan Komputer) Israwati Hamsar; Nur Fadhylah As; Rosidah; Muhammad Dwi Andika; Muhammad Arafah Alif
Jurnal Pendidikan Terapan Vol 2, No 2 May (2024)
Publisher : Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/jupiter.v2i2.221

Abstract

Penelitian ini bertujuan untuk menganalisis sejauh mana pemahaman dan kemampuan Computational Thinking pada Mahasiswa JTIK dengan fokus pada pengembangan keterampilan berpikir kritis, kreatif, dan pemecahan masalah. Dengan pendekatan kuantitatif cross-sectional, penelitian ini menggunakan kuesioner sebagai alat pengumpulan data untuk menganalisis kemampuan CT mahasiswa. Hasil penelitian menunjukkan bahwa mahasiswa JTIK memiliki kemampuan dasar CT yang baik, khususnya dalam identifikasi masalah, pemecahan masalah kompleks, dan pemahaman algoritma. Temuan ini memberikan landasan untuk pengembangan program pendidikan yang lebih efektif dalam meningkatkan pemahaman dan penerapan CT dalam kurikulum pendidikan. Hal ini juga meningkatkan potensi lulusan JTIK dalam dunia kerja yang semakin terhubung dengan teknologi dan pemrosesan data. Meskipun memberikan wawasan positif, penelitian ini menyoroti pertanyaan-pertanyaan yang perlu lebih diperdalam, seperti dampak CT dalam menciptakan generasi yang siap secara digital, faktor-faktor yang memengaruhi perkembangan CT, dan strategi untuk meningkatkan CT di kalangan mahasiswa. Oleh karena itu, penelitian ini memberikan kontribusi signifikan dalam memahami dan mengoptimalkan peran CT dalam pendidikan teknologi dan ilmu komputer.
Strengthening the Innovation Capacity of Student PKM Proposals through an AI-Generative-Based Co-Creation Learning Model with a Classroom Action Research Approach Nurrahmah Agusnaya; Putri Nirmala; M. Miftach Fakhri; Wahyu Hidayat M; Rosidah Rosidah
Jurnal Sipakatau: Inovasi Pengabdian Masyarakat Vol. 2 No. 3 (2025): Jurnal Sipakatau
Publisher : PT. Global Research Collaboration

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Abstract

The low quality of student innovation in preparing Student Creativity Program (PKM) proposals remains a challenge in higher education, caused by limited research experience, weak team collaboration, and low utilization of Artificial Intelligence (AI) technology. This study aims to describe the implementation of an AI-based Co-Creation Learning model in improving students' abilities to prepare PKM proposals. This research used the Classroom Action Research (CAR) method, which was conducted in two cycles: the first cycle applied the Project-Based Learning (PjBL) model, and the second cycle applied the AI- based Co-Creation Learning model. The results showed an increase in the students’ average scores from 86.1 in the first cycle to 88.4 in the second cycle, with a decrease in the standard deviation from 2.32 to 1.37. Inferential analysis using a paired samples t-test revealed a t-value of -9.25 with p < 0.001 and an effect size (Cohen’s d) of -1.46, indicating a statistically significant improvement in learning outcomes. This model effectively supports collaboration, creativity, and students' skills in developing more relevant PKM proposals. Thus, the implementation of the AI-based Co-Creation Learning model is effective in enhancing students’ innovation capacity and supports the Merdeka Belajar Kampus Merdeka policy in strengthening excellent human resources in the digital era.
Peningkatan Kompetensi Back End Web Programming: Pelatihan Bahasa Pemrograman JavaScript bagi Mahasiswa Muhammad Fardan; Dary Mochamad Rifqie; Rosidah Rosidah; Akhmad Affandi; Sudarmanto Jayanegara; M. Miftach Fakhri
Jurnal Sipakatau: Inovasi Pengabdian Masyarakat Vol. 1 No. 3 (2024): Jurnal Sipakatau
Publisher : PT. Global Research Collaboration

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Abstract

Program ini mengusulkan dan mengevaluasi implementasi pelatihan berjudul"Peningkatan Kompetensi Back End Web Programming: Pelatihan JavaScriptuntuk Mahasiswa" dengan tujuan mempersiapkan mahasiswa dalam kompetensipemrograman web di bidang back end. Dilakukan studi pendahuluan untukmenganalisis tingkat kompetensi awal mahasiswa dalam JavaScript, yangmenjadi dasar dalam merancang program pelatihan yang sesuai. Pelaksanaanprogram dilakukan sesuai rencana dan jadwal yang telah ditetapkan, sementaraevaluasi dilakukan dengan memantau partisipasi peserta dan respons merekaselama kegiatan sosialisasi. Diharapkan hasil penelitian ini memberikanpemahaman tentang efektivitas program dalam meningkatkan kemampuanJavaScript untuk pengembangan back end website. Kesimpulan dari penelitianini diharapkan dapat memberikan landasan untuk pengembangan kompetensipemrograman web mahasiswa khususnya dalam penggunaan JavaScript untukpengembangan back end.
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.
Analisis Penggunaan Chatbot Berbasis AI pada Model Hybrid di Jurusan Teknik Informatika dan Komputer Andika Isma; Rosidah; Sigit Sahalik Rahman; Nasrullah; Arif Setiawan Syam; Novita Sari
Journal of Vocational, Informatics and Computer Education Vol 1, No 2 (2023): Desember 2023
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/voice.v1i2.20239

Abstract

Pemanfaatan chatbot berbasis AI dalam model hybrid belum sepenuhnya dipahami efektivitas dan dampaknya dalam konteks pendidikan tinggi, khususnya di Jurusan Teknik Informatika dan Komputer. Penelitian ini bertujuan untuk menganalisis peran dan pengaruh chatbot AI terhadap efisiensi dan kualitas layanan akademik dalam model hybrid. Metode yang digunakan adalah desain penelitian kuantitatif cross-sectional dengan pengumpulan data melalui kuesioner online dari 63 responden mahasiswa. Hasil menunjukkan bahwa chatbot AI mampu meningkatkan akuisisi, berbagi, dan penerapan pengetahuan mahasiswa secara signifikan. Sebagian besar responden merasa puas dan menyatakan bahwa chatbot memenuhi atau bahkan melebihi ekspektasi mereka. Selain itu, chatbot terbukti bermanfaat dalam mempercepat akses informasi dan meningkatkan kualitas interaksi akademik. Penelitian ini menyimpulkan bahwa integrasi chatbot berbasis AI dalam model hybrid berpotensi besar dalam mendukung efektivitas pembelajaran dan layanan akademik di pendidikan tinggi.
Redefining Social Responsibility Through AI Literacy: The Roles of Digital Literacy and Ethical Awareness in Digital Citizenship Misbahuljannah; Riqqah Dhian Shefira; Devi Miftahul Jannah; Muh. Yusril Anam; Rosidah
Journal of Applied Artificial Intelligence in Education Vol 1, No 2 (2026): January 2026
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/jaaie.v1i2.7

Abstract

The rapid integration of artificial intelligence (AI) into digital learning environments requires higher education students to develop not only technical competence, but also critical, ethical, and socially responsible capacities as digital citizens. This study aims to examine how AI literacy, digital literacy, and ethical awareness influence students’ social responsibility as a key foundation for responsible digital citizenship. A quantitative cross-sectional survey was conducted with 100 undergraduate students in Informatics and Computer Engineering Education, and the hypothesized relationships were tested using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that digital literacy has a positive and significant effect on social responsibility (β = 0.397, p = 0.001) and ethical awareness emerges as the strongest positive predictor (β = 0.615, p < 0.001), while AI literacy exhibits a negative but significant effect (β = −0.151, p = 0.022), suggesting that higher AI literacy may foster more critical or cautious orientations that could reduce socially responsible engagement when not accompanied by strong ethical grounding and citizenship-oriented competencies. The findings imply that higher education curricula should integrate digital literacy, AI literacy, and ethics education in a balanced manner moving beyond purely technical training so that AI literacy translates into constructive social responsibility and strengthened digital citizenship; future studies should extend the sample and adopt longitudinal designs to capture behavioral changes over time.
Co-Authors Ahmad Talib AHMAD ZAKI Ahmar, Ansari Saleh Ainun, Rezki Awalia Akhmad Affandi Akhmad Affandi Akhmad Affandi Amaliah, Asri Ainun Andika Isma Aprisal, Aprisal Arif Setiawan Syam Asdar . Awi Dassa Baharuddin Dary Mochamad Rifqie Dary Mochamad Rifqie Della Fadhilatunisa Devi Miftahul Jannah Elma Nurjannah Fadhil Zil Ikram Fajar Arwadi Fatahuddin Fatahuddin Fatahuddin Fauziyyah Alimuddin Fitrah Asma Darmawan Fitri Nur Azizah A. Hamda Hamda Hamda, Hamda Hamzah Upu Hasriyanti Hisyam Ihsan Ilham Minggi Ilham Minggi Ilyas, Muhammad Israwati Hamsar Lisca Palerina M. Miftach Fakhri Ma’rufi Ma’rufi Misbahuljannah Muh Nur Sulaiman Muh. Ikhwan Risqullah Muh. Irsan Muh. Yusril Anam Muhammad Ansarullah S. Tabbu Muhammad Arafah Alif Muhammad Dwi Andika Muhammad Fardan Muhammad Fardan Muhammad Husnul Khuluq Muhammad Ikram Muhammad Takwin Machmud Mulyani Marhadi Nasrullah Nasrullah Nasrullah Novita Sari Nur Aisyah Mukhtar Nur Fadhylah As Nur Furqan Ahmad Hasan Nur Hidayat Nurrahmah Agusnaya Nursyam Anaguna Nurwati Djam'an Phimlikid Kaewhanam Putri Nirmala Radhiah Raodahtul Jannah Reski Andini Rezki Awalia Ainun Riqqah Dhian Shefira Sabri Sahid Sigit Sahalik Rahman St. Zulaiha Nurhajarurahmah Sudarmanto Jayanegara Suradi Sutamrin, Sutamrin Syahfira Audiwinanda Talib, Ahmad Wahidah Sanusi Wahyu Hidayat M Wildan Muafan Yudhi Alfian