Garuda - Garba Rujukan Digital

Deteksi Penyakit Gagal Ginjal Kronis Menggunakan Algoritma ID3 Safuan Safuan
Elkom : Jurnal Elektronika dan Komputer Vol 13 No 1 (2020): Juli: Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v13i1.136

Chronic kidney failure is the failure of kidney function in maintaining metabolism and fluid and electrolyte balance in the body. Chronic kidney disease initially does not show significant symptoms and signs but can develop rapidly into kidney failure. Kidney disease can be prevented and treated if known earlier. One way to find out chronic kidney failure is to detect using data mining. Iterative Dichotomiser 3 (ID3) algorithm is one of the classification methods and is a type of method that can map or separate two or more different classes. Based on the measurement of performance classification of 80% of training data from 400 data used, it shows that the accuracy value reached 96.25%. It can be concluded that the ID3 Algorithm method is feasible to be used in research predictions for chronic kidney failure.

Pelatihan Literasi Digital Guru SD & MI Al Hikmah untuk Menciptakan Pembelajaran Aktif Siti Aimah; Dodi Mulyadi; Safuan Safuan; Aufa Rafika Nur; Nurul Inayah Tihurua; Ullayah Fathina Az Zahra; Anggi Uswatun Najikha; Irma Oktaviani; Reesky Adi Nugroho; Sri Nikmatu Rupiah; Sobirin Sobirin; Cicilia San San Indah Nilla Utomo; Maria Dewi Arumsari
Jurnal Surya Masyarakat Vol 6, No 1 (2023): November 2023
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jsm.6.1.2023.1-10

The impact of the Covid-19 pandemic on the education system has altered from face-to-face learning to online learning. The sudden pandemic made teachers underprepared either psychologically or pedagogically to teach online learning. Many teachers often faced psychological pressure while preparing for online teaching due to the lack of digital literacy. Teachers now have to overcome pressures for understanding digital literacy. Teachers have issues with: 1) the lack of digital literacy mastery and/or the utilization of digital learning platforms, and 2) the lack of teachers’ ability in creating meaningful learning through the use of digital technology and/or interactive multimedia. By providing the 33 teachers with support and training in digital literacy, those issues could be resolved. The assistance is focused on how to use digital learning platforms and produce android learning and interactive multimedia videos to support the learning process in the classroom. The findings showed that teachers are becoming more knowledgeable about digital literacy, particularly as it relates to the utilization of digital learning platforms and the creation of android learning videos and interactive multimedia learning videos to support the learning process in the classroom. Through the use of digital learning platforms in the classroom, teachers can provide meaningful learning experiences to students and students can actively engage in the learning process. In addition, digital literacy helps teachers increase students’ enthusiasm in the classroom, and students’ autonomous learning.

Penggunaan Pohon Keputusan dalam Penempatan Naga pada Permainan Dragon City Syafrie Abdunnasir Jawad; Muhammad Sam'an; Safuan Safuan
JURNAL KOMPUTER DAN TEKNOLOGI INFORMASI Vol 1, No 1 (2023): ESTIMASI NUMERIK
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jkti.v1i1.11910

Dalam permainan “Dragon City” terdapat banyak habitat sesuai dengan elemennya. Habitat-habitat tersebut juga mempunyai harga yang berbeda-beda tergantung dari kelangkaan elemennya. Dengan pohon keputusan, proses pemilihan habitat bagi naga baru akan lebih mudah. Pohon keputusan akan memantu pemain menentukan habitat yang paling efisien bagi naga-naga baru.Kata Kunci: dragon city, habitat naga, naga, pohon keputusan.

Peningkatan Kompetensi Guru di Sekolah Menengah Islam Ihsanul Fikri melalui Pelatihan Pengembangan Media Pembelajaran Berbasis Kecerdasan Buatan: Sebuah Studi Mixed-Methods Rima Dias Ramadhani; Ahmad Ilham; Muhammad Sam’an; Akhmad Fathurohman; Safuan Safuan; Muhammad Munsarif; Lukman Assaffat; Asdani Kindarto; Muhammad Wahyu Anggana; Teguh Firmasyah; M. Amin Syaifani; Afan Arga Ahyana; Adi Nugroho; Janu Yogi Kurnia
Jurnal Surya Masyarakat Vol 7, No 2 (2025): Mei 2025
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jsm.7.2.2025.207-214

The training program on Artificial Intelligence-based Learning Media Development (P3MP-AI) represents a strategic initiative to enhance the quality of education at the Ihsanul Fikri Integrated Islamic High School. In the rapidly evolving landscape of information technology, the integration of Artificial Intelligence (AI) technology into education has become an urgent necessity. This endeavor aims to address the personalized learning needs, overcome human resource and time constraints, and enhance the overall quality of education in achieving educational goals. Through the Active and Interactive Learning Method (MPB-AI) approach, educators engage in various practical and interactive activities, enabling them to comprehend and applykecerdasan buatanconcepts practically. Evaluation of this training program demonstrates significant achievements in enhancing participants' understanding and skills, as well as a high level of creativity and diversity in AI-based learning media development practices. Thus, this training program has successfully achieved its objectives in improving the quality of education at the Ihsanul Fikri Integrated Islamic High School. Recommendations for future activities include extending the duration of implementation for optimal goal attainment and developing similar activities periodically to continually enhance educators' abilities in delivering more effective and efficient learning experiences.

Peningkatan Kompetensi Guru di Sekolah Menengah Islam Ihsanul Fikri melalui Pelatihan Pengembangan Media Pembelajaran Berbasis Kecerdasan Buatan: Sebuah Studi Mixed-Methods Rima Dias Ramadhani; Ahmad Ilham; Muhammad Sam’an; Akhmad Fathurohman; Safuan Safuan; Muhammad Munsarif; Lukman Assaffat; Asdani Kindarto; Muhammad Wahyu Anggana; Teguh Firmasyah; M. Amin Syaifani; Afan Arga Ahyana; Adi Nugroho; Janu Yogi Kurnia
Jurnal Surya Masyarakat Vol 7, No 2 (2025): Mei 2025
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jsm.7.2.2025.207-214

The training program on Artificial Intelligence-based Learning Media Development (P3MP-AI) represents a strategic initiative to enhance the quality of education at the Ihsanul Fikri Integrated Islamic High School. In the rapidly evolving landscape of information technology, the integration of Artificial Intelligence (AI) technology into education has become an urgent necessity. This endeavor aims to address the personalized learning needs, overcome human resource and time constraints, and enhance the overall quality of education in achieving educational goals. Through the Active and Interactive Learning Method (MPB-AI) approach, educators engage in various practical and interactive activities, enabling them to comprehend and applykecerdasan buatanconcepts practically. Evaluation of this training program demonstrates significant achievements in enhancing participants' understanding and skills, as well as a high level of creativity and diversity in AI-based learning media development practices. Thus, this training program has successfully achieved its objectives in improving the quality of education at the Ihsanul Fikri Integrated Islamic High School. Recommendations for future activities include extending the duration of implementation for optimal goal attainment and developing similar activities periodically to continually enhance educators' abilities in delivering more effective and efficient learning experiences.

Transformer-Based Support for Content-Validity Pre-Screening in Educational Materials Safuan Safuan; Dhendra Marutho; Ahmad Ilham; Muhammad Munsarif; Wendy Sarasjati; Edy Winarno; Arnold Adimabua Ojugo; De Rosal Ignatius Moses Setiadi
Journal of Computing Theories and Applications Vol. 4 No. 1 (2026): JCTA 4(1) 2026
Publisher : Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/jcta.16829

Content validity assessment is essential for determining whether educational materials adequately represent intended learning outcomes. However, conventional assessment procedures require substantial expert time and may produce inconsistent decisions across large item collections. This study develops a transformer-based framework to support content-validity pre-screening through two complementary tasks: predicting expert-derived Aiken’s V coefficients and classifying instructional-item essentiality. The final dataset comprised 652 Indonesian-language educational text items independently evaluated by four subject-matter experts. To reduce information leakage, identical and normalized-equivalent texts were grouped before applying a group-aware 70:15:15 training–validation–test split. Classical TF-IDF-based baselines were compared with IndoBERT, multilingual BERT, XLM-RoBERTa, and multilingual DeBERTa-v3. For Aiken’s V regression, multilingual BERT achieved the lowest MAE of 0.0501, the lowest RMSE of 0.0625, and the highest R² of 0.5239, whereas multilingual DeBERTa-v3 achieved the highest Spearman correlation of 0.7532. For essentiality classification, XLM-RoBERTa achieved the highest accuracy of 0.8557 and Macro-F1 of 0.8161, whereas multilingual BERT achieved the highest balanced accuracy of 0.8135 and ROC-AUC of 0.9111. Error analysis showed that the models captured textual patterns associated with expert-derived outcomes but remained limited when judgments depended on broader curricular context, competency hierarchies, prerequisite relationships, or relationships among instructional items. The findings support the use of transformer models as human-in-the-loop decision-support tools for prioritizing uncertain or potentially problematic educational items. However, the framework should be interpreted as a pre-screening mechanism rather than a replacement for expert judgment, and external validation across institutions and disciplines remains necessary.

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