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All Journal Infotech Journal Produktif : Jurnal Ilmiah Pendidikan Teknologi Informasi INTI Nusa Mandiri Community Development Journal: Jurnal Pengabdian Masyarakat BERNAS: Jurnal Pengabdian Kepada Masyarakat caXra: Jurnal Pendidikan Sekolah Dasar Aurelia: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia Jurnal Kajian Pendidikan dan Psikologi JURNAL ILMIAH PENELITIAN MAHASISWA Switch: Jurnal Sains dan Teknologi Informasi Jurnal SINTA: Sistem Informasi dan Teknologi Komputasi Computer Journal Design Journal Journal Digital Technology Trend Menulis: Jurnal Penelitian Nusantara Journal of Health Education Law Information and Humanities
Taofik Muhammad
Universitas Muhammadiyah Tasikmalaya
Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Veterinary Other

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Pemanfaatan Gemini AI Sebagai Media Pendukung Pembelajaran Di SMKS Arroja Tasikmalaya Alicia Pramesti; Alfadl Habibie; Taofik Muhammad
JURNAL ILMIAH PENELITIAN MAHASISWA Vol 4 No 6 (2026): Desember
Publisher : Kampus Akademik Publiser

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jipm.v4i6.3158

Abstract

Advances in digital technology and the demands of 21st-century learning call for adaptive and personalised learning resources; however, at SMKS Arroja Tasikmalaya, Year 11 pupils still face difficulties in understanding abstract and complex subject matter, teachers have limited time for individual support, and pupils show little initiative in asking questions. This study aims to describe the utilisation of Gemini AI as a learning support tool at SMKS Arroja Tasikmalaya. The study employs a qualitative approach using a survey method. Data were collected through non-participant observation, semi-structured interviews with IT teachers and students, and a questionnaire distributed to 50 Year 11 TKJ students. Data analysis was conducted using the Miles and Huberman interactive model through the stages of data reduction, data presentation, and drawing conclusions, supplemented by triangulation of sources and techniques. The results of the study indicate that Gemini AI is utilised selectively and specifically for difficult topics such as subnetting, IP addresses, and network troubleshooting, with teachers acting as facilitators who guide students’ exploration and subsequently discuss the results in class. Students gave positive feedback: over 90 per cent found Gemini AI easy to use, 70 per cent considered it a useful learning resource, 64 per cent felt it helped them complete tasks more quickly, and 74 per cent felt it aided their learning. However, the benefits regarding in-depth understanding (around 46 per cent) and independent learning (38–52 per cent) were not yet optimal. The main constraints were limited internet connectivity (74 per cent) and the need for technical guidance (48 per cent). These findings suggest that the use of Gemini AI has the potential to enhance vocational learning provided it is supported by adequate internet infrastructure, teachers’ scaffolding strategies, and improved digital literacy amongst students so that the technology is used critically and does not lead to dependency.
Penerapan Model 10-Fold Cross-Validation dalam Memprediksi Strategi Belajar Siswa SMA Berdasarkan Aspek Self-Regulated Learning (Manajemen Sumber Daya) Diah Ayu Choirunnisa; Sulidar Fitri; Taofik Muhammad
Switch : Jurnal Sains dan Teknologi Informasi Vol. 4 No. 4 (2026): Juli : Switch : Jurnal Sains dan Teknologi Informasi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/switch.v4i4.1003

Abstract

Selecting the appropriate learning strategy is crucial for high school students; however, educators often struggle to identify strategies that align with each individual's Self-Regulated Learning (SRL) capabilities. This study aims to predict high school students' learning strategies based on the SRL aspect of resource management by applying the 10-fold cross-validation (C4.5) algorithm using the Knowledge Discovery in Databases (KDD) method. The study utilized 537 valid data points collected from students of SMA Negeri 1 Singaparna. A predictive model was constructed using 23 predictor attributes and evaluated through 10-fold cross-validation to assess its performance and reliability. The results indicate relatively low model performance, with an accuracy of 50.9% and an F1-score of 49.9%. This performance is attributed primarily to class imbalance and feature overlap among the learning strategy categories. The analysis identified the attribute "understanding improves when studying with peers" as the root node, with an Information Gain value of 0.042. These findings suggest that the resource management aspect of SRL is insufficient to serve as a sole predictor of students' learning strategies. Future research is recommended to incorporate other dimensions of SRL to improve predictive accuracy and provide a more comprehensive understanding of students' learning strategy preferences.
Co-Authors AA Sudharmawan, AA Agung Nugraha Akmal, Nabil Faisal Alamsyah Firdaus Alfadl Habibie Alfadl Habibie Alicia Pramesti Andri Prayoga Anggia Suci Pratiwi Asep Setiawan Aspari, Rian Syahrillah Asti Tri Lestari Aulia, Nasyadila belgis, Belgis Nurhaliza Cecep Riki Desi Indriyani Diah Ayu Choirunnisa Dimas Sigit Nurfaizi Faisal Egi Putra Sumpena Febrian, Kaka Azi Fadhilah Fitri Nurlina Habibie, Alfadl Herdiani Siti Aisyah Ihza Mahendra, Yusril Ilpan Rusilpan Imam Amirulloh Indah Permatasari Indra Gunawan Izul, Izul Ahmad Mubaroq Kurniawati, Ade Lilis Lismayanti Mailan Fitri Mar'atu Solihah, Mailan Miftahul Falah Mila Karmila Mochammad Faizal Darsono Ms Chandra Tri Saputra Chandra Mubarok, Aziz Husni Muhammad Saefulloh Muhammad Taufiq Muhammad Taufiq Muhammad Taufiq Muhammad, Rizky Nasyadila Aulia Nurajizah, Nija Nurhasanah, Sifa Nurkamilah, Milah Pradana, Rizka Muhamad Prayoga, Andri PUJI NURWAHIDAH Qolbi, Wihda Fitrotul Rachmawaty, Rikeu Restina, Tika Rian Syahrillah Aspari Rikeu Rachmawaty Rizka Muhamad Pradana Sabrina, Putri Nur Salman, Nurcholis Sari, Nina Pamela Sarmidi Sarmidi Sarmidi Sarmidi Sulidar Fitri Tika Restina Wihda Fitrotul Qolbi Windi Astuti Windi Yopa Taufik Saleh, Yopa Taufik Zamaludin, Helmi Fauzan