p-Index From 2021 - 2026
7.259
P-Index
This Author published in this journals
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 Mandalika Mathematics and Educations Journal 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 Vokatek : Jurnal Pengabdian Masyarakat Seminar Nasional Hasil Penelitian LP2M UNM Information Technology Education Journal Journal of Embedded Systems, Security and Intelligent Systems Indonesian Technology and Education Journal Journal of Contemporary Issues in Elementary Education Jurnal Hasil-Hasil Pengabdian dan Pemberdayaan Masyarakat (JHP2M) Issues in Mathematics Educations (IMED) Artificial Intelligence in Lifelong and Life-Course Education Jurnal Sipakatau Journal of Vocational, Informatics and Computer Education Journal of Applied Artificial Intelligence in Education Journal of Educational Studies in Science, Technology, Engineering, Arts and Humanities Journal of Community Services and Development JESI : Journal of Engineering Service and Innovation
Claim Missing Document
Check
Articles

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.
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.
Penggunaan ChatGPT sebagai Media Pembelajaran Interaktif dalam Dunia Pendidikan: Analisis Pengaruh Kualitas Sistem Pendidikan dan Prestasi Akademik Peserta Didik M Nur Eqhy Putra Pratama; Aqil Ananda; Andi Dio Nurul Awalia; Rosidah
Journal of Educational Studies in Science, Technology, Engineering, Arts and Humanities Vol.1 No.1 (2025): September 2025
Publisher : PT. Global Research Collaboration

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

Abstract

Kemajuan teknologi informasi, khususnya Artificial Intelligence (AI), telah membuka jalan baru untuk pendidikan. Studi ini menyelidiki cara ChatGPT, sebuah media pembelajaran interaktif, dapat meningkatkan sistem pendidikan dan meningkatkan prestasi akademik siswa. Dalam penelitian ini, data dikumpulkan dari 86 siswa melalui kuesioner online yang mengukur tiga variabel utama: kualitas media pembelajaran, pengaruh terhadap prestasi akademik, dan kualitas sistem pendidikan. Penelitian ini menggunakan analisis statistik deskriptif untuk menunjukkan tren dalam data yang dikumpulkan. Setiap variabel dihitung distribusi mean dan sumnya. Hasil penelitian menunjukkan bahwa ChatGPT meningkatkan kualitas media pembelajaran dan sistem pendidikan, tetapi dampak pada prestasi akademik tidak sebesar dua variabel lainnya. Studi ini menunjukkan bahwa ChatGPT adalah alat bantu pembelajaran yang efektif; namun, untuk memasukkannya ke dalam kurikulum, pelatihan dan pengembangan personal diperlukan. Hasil ini memberikan wawasan penting tentang penggunaan Artificial Intelligence (AI) dalam pendidikan dan rekomendasi tentang cara memanfaatkannya di masa depan. Penelitian ini membantu mendapatkan pemahaman yang lebih dalam tentang potensi ChatGPT untuk mendukung pembelajaran dan menemukan komponen yang mempengaruhi penerimaannya dan seberapa efektifnya dalam pendidikan.
Otonomi Pelajar Dalam Pembelajaran Daring di Masa Endemi Covid-19 Surianto B Mappangara; Muhammad Alwi; Rosidah Rosidah
Jurnal Pendidikan Terapan Vol 1, No 3, September (2023)
Publisher : Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/jupiter.v1i3.169

Abstract

Tahun 2020 adalah tahun penuh tantangan dengan pandemi COVID-19 yang melanda seluruh dunia, mengubah banyak aspek kehidupan termasuk pendidikan. Indonesia, dengan populasi sekitar 270 juta orang tersebar di 34 provinsi di seluruh kepulauan besar, tidak luput dari dampaknya. Pandemi ini memaksa guru untuk menghadapi tantangan adaptasi dan transformasi yang belum pernah terjadi sebelumnya, dengan pembelajaran daring menjadi solusi utama. Pembelajaran daring memungkinkan pengiriman materi instruksional dan kegiatan melalui alat digital, memberikan fleksibilitas dalam hal waktu dan tempat, meningkatkan komunikasi, dan mengurangi biaya. Namun, keberhasilan dalam pembelajaran daring sangat tergantung pada kemampuan peserta didik untuk mengambil inisiatif, mengelola waktu, dan beradaptasi dengan perubahan, sehingga menjadikan otonomi sebagai faktor kunci dalam kesuksesan pendidikan di masa pandemi ini. Meskipun penting, penelitian tentang otonomi peserta didik dalam konteks pembelajaran daring masih terbatas, dan penelitian lebih lanjut diperlukan untuk memahami dampaknya terhadap adaptasi, motivasi, dan keterlibatan peserta didik, terutama di masa pandemi COVID-19
Agile Development of PressAI: Enhancing Educational Efficiency through QR-Based Attendance and AI-Powered Essay Scoring M. Miftach Fakhri; Pramudya Asoka Syukur; Muh Idul Akbar Pratama; A.M Yusran Mazidan; Alya Olivia; Rosidah
Information Technology Education Journal Vol. 3, No. 3, September (2024)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v3i3.5092

Abstract

In learning activities, common issues such as time-consuming and manipulation-prone attendance processes, as well as subjective and inconsistent essay grading, often arise. This study aims to develop PressAI, an AI-based application that automates attendance using QR code technology and provides objective essay grading powered by the OpenAI API. The application was developed using the Agile methodology integrated within the Software Development Life Cycle (SDLC) framework, through iterative stages including planning, requirements analysis, system design, implementation, and testing. The results demonstrate that PressAI enables instant and accurate attendance recording via QR scanning, provides a seamless login experience without repeated authentication, and delivers fast and objective essay assessments. With its features, PressAI is expected to enhance efficiency and transparency in the learning process while offering opportunities for further innovative feature development.
Understanding Pre-Service Math Teachers’ Use of GeoGebra: The Role of Confidence, Social Pressure, and TPACK Rosidah; M. Miftach Fakhri; Zul Jalali Wal Ikram; Fitria Arifiyanti; Guillermo Bautista
Information Technology Education Journal Vol. 4, No. 2, May (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i2.8341

Abstract

This study investigates the determinants of pre-service mathematics teachers’ continuous intention to use GeoGebra by integrating key constructs from educational technology acceptance and pedagogical knowledge frameworks. Employing a quantitative correlational design, data were obtained from 209 pre-service teachers through a validated questionnaire and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The research examined the direct effects of Self-Confidence in Mathematics (SCM), Facilitating Conditions (FC), Perceived Social Pressure (PSP), and Technological Pedagogical Content Knowledge (TPACK) on Continuous Intention to Use GeoGebra (CIUG). The results revealed that SCM, PSP, and TPACK significantly influence CIUG, whereas FC did not show a significant effect. These findings underscore the importance of psychological and pedagogical readiness over infrastructural support in predicting sustained technology use. The study contributes to the literature by providing empirical evidence on the integration of internal and external factors within a unified model and suggests that teacher education programs should focus on enhancing self-efficacy, social engagement, and TPACK to support technology integration. Future research is encouraged to explore contextual and longitudinal aspects to expand the applicability of these findings across diverse educational settings.
Integrating Technology with Academic Success by Evaluating ChatGPT’s Quality Compatibility and Impact on Student Performance Irwansyah Suwahyu; Yohana Rara; Nur Syafitra Ramadhani; Rosidah; Putri Nirmala; Nurrahmah Agusnaya; Pramudya Asoka Syukur
Information Technology Education Journal Vol. 4, No. 2, May (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i2.8532

Abstract

The use of artificial intelligence (AI) technology in higher education has become an important element to improve students' academic performance. ChatGPT, as one of the generative AI applications, offers speed, ease of use, and relevant responses to support students' learning activities. This study aims to analyze the relationship between overall technology quality, technology characteristics, technology task suitability, compatibility, and performance impact in using ChatGPT on students' academic performance. This study used a quantitative approach with a cross-sectional design and purposive sampling technique involving 182 active student respondents using ChatGPT. Data were collected through an online questionnaire using a 5-point Likert scale covering five main variables. The results of descriptive analysis show a mean value that illustrates that students generally have a positive perception of the use of ChatGPT in supporting their academic activities. These findings suggest that ChatGPT has great potential in improving student productivity and comprehension, although service quality, task suitability, and function compatibility need to be continuously improved to better suit academic needs. Thus, the implementation of ChatGPT in higher education needs to be planned adaptively and ethically in order to optimally support students' learning success in the digital era
Improving Literacy Through Technology: An Agile Approach in the Development of the Redify Digital Reading Platform Muhammad Fikri Aqil; Rosidah; Muh Galang Nusantara; Siti Fatimah Azzahra Namar; Rafiqah Ameliah Kasim; Elma Nurjannah
Journal of Embedded Systems, Security and Intelligent Systems Vol 5, No 2 (2024): July 2024
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v5i2.5312

Abstract

In the digital age, reading has evolved from a traditional physical book to a more dynamic and technology-integrated activity through e-books and other digital platforms. However, this progress also presents new challenges, such as a significant decline in reading interest in Indonesia, especially among the younger generation. Redify, an innovation in the digital reading ecosystem, addresses this challenge by offering a more engaging reading experience and incorporating a strong community approach. This article explores how Redify leverages the latest technologies and agile development methods to quickly adapt its features to meet readers' needs and preferences. By encouraging social interaction and discussion among readers, Redify aims to revive reading habits and improve the overall reading experience. The study also assesses the feasibility and effectiveness of Redify's strategy in overcoming the decline in reading interest among the younger generation in Indonesia.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/jsipakatau.v2i3.2514

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/jsipakatau.v1i3.246

Abstract

The program proposes and evaluates the implementation of a training titled "Enhancing Competence in Back End Web Programming: JavaScript Training for Students" with the aim of preparing students in web programming competency in the back end domain. A preliminary study is conducted to analyze the initial competency level of students in JavaScript, which serves as the basis for designing a suitable training program. The program is implemented according to the established plan and schedule, while evaluation is carried out by monitoring participant participation and their responses during the socialization activities. The research results are expected to provide an understanding of the effectiveness of the program in enhancing JavaScript skills for back end website development. The conclusions drawn from this research are expected to provide a foundation for the development of students' web programming competencies, particularly in the use of JavaScript for back end development.
Co-Authors A.M Yusran Mazidan Abdul Rahman Ahmad Talib AHMAD ZAKI Ahmar, Ansari Saleh Ainun, Rezki Awalia Akhmad Affandi Akhmad Affandi Akmal Hidayat Alimuddin Alya Olivia Amaliah, Asri Ainun Amanda Amiruddin Andi Baso Kaswar Andi Baso Kaswar Andi Dio Nurul Awalia Andi Trisno Trisno Andika Isma Annajmi Rauf Aprisal, Aprisal Aqil Ananda Arif Setiawan Syam Asdar . Asham Bin Jamaluddin Asis Nojeng Asri Ismail Aura Ramadhani Asri Awi Dassa Baharuddin Dary Mochamad Rifqie Dary Mochamad Rifqie Della Fadhilatunisa Devi Miftahul Jannah Dewi Fatmarani Surianto Elma Nurjannah Fadhil Zil Ikram Fajar Arwadi Fatahuddin Fatahuddin Fatahuddin Fauziyyah Alimuddin Fauziyyah Wati Hasdar Fitrah Asma Darmawan Fitri Nur Azizah A. Fitria Arifiyanti Guillermo Bautista Hamda Hamda Hamda, Hamda Hamzah Upu Hasniati Hasan Hasriyanti Hisyam Ihsan Ikram, Muhammad Ilham Minggi Ilham Minggi Ilyas, Muhammad Irwan Irwansyah Suwahyu Israwati Hamsar Kartika Ratna Sari Lisca Palerina M Nur Eqhy Putra Pratama M. Miftach Fakhri Ma’rufi Ma’rufi Mei Radia Putri Meisaraswaty Arsyad Misbahuljannah Muh Galang Nusantara Muh Idul Akbar Pratama Muh Nur Sulaiman Muh. Ikhwan Risqullah Muh. Irsan Muh. Yusril Anam Muhammad Alwi Muhammad Ansarullah S. Tabbu Muhammad Arafah Alif Muhammad Dwi Andika Muhammad Fajar B Muhammad Fardan Muhammad Fardan Muhammad Fikri Aqil Muhammad Husnul Khuluq Muhammad Takwin Machmud Mulyani Marhadi Nailha Dinda Aprilia Nasrullah Nasrullah Nasrullah Novita Sari Nur Aisyah Mukhtar Nur Fadhylah As Nur Furqan Ahmad Hasan Nur Hidayat Nur Syafitra Ramadhani Nurjannah Nurjannah Nurrahmah Agusnaya Nurrahmah Agusnaya Nursyam Anaguna Nurwati Djam'an Phimlikid Kaewhanam Pramudya Asoka Syukur Pramudya Asoka Syukur Putri Nirmala Putri Nirmala R. H. Yanti Silitonga Radhiah Rafiqah Ameliah Kasim Raodahtul Jannah Reski Andini Rezki Awalia Ainun Ridwan Daud Mahande Riqqah Dhian Shefira Sabri Sahid Setialaksana, Wirawan - Shera Afidatunisa Sigit Sahalik Rahman Siti Fatimah Azzahra Namar St. Zulaiha Nurhajarurahmah Sudarmanto Jayanegara Suradi Surianto B Mappangara Sutamrin, Sutamrin Syahfira Audiwinanda Talib, Ahmad Taufik Bahtiar Usman Mulbar Wahidah Sanusi Wahyu Hidayat M Wildan Muafan Yohana Rara Yudhi Alfian Zul Jalali Wal Ikram