Garuda - Garba Rujukan Digital

AI Socialization in Creating Teaching Materials for Elementary School Teachers in Bukittinggi City West Sumatra Liza Efriyanti, Liza Efriyanti; Sarwo Derta; Firdaus Annas
Salus Publica: Journal of Community Service Vol. 2 No. 1 (2024): April 2024
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saluspublica.v2i1.329

The use of Artificial Intelligence (AI) in education offers innovative solutions to improve the quality of learning, especially in creating teaching materials. However, in Bukittinggi City, West Sumatra, many elementary school teachers have not yet utilized this technology due to limited knowledge and skills. Therefore, this community service activity aims to socialize and train elementary school teachers in utilizing AI to create interactive and effective teaching materials. The implementation method of this activity includes socialization of AI theory, practical training on the use of AI applications, group discussions, and direct practice in creating AI-based teaching materials. The results of this activity show an increase in teachers' understanding and skills in using AI. As many as 75% of teachers are able to create more varied and efficient teaching materials by utilizing AI technology. However, several obstacles were found, such as limited technological infrastructure in schools. This socialization activity succeeded in improving teachers' ability to utilize AI, but limited technological infrastructure is a major challenge. The evaluation showed that most teachers needed further training to deepen their understanding of AI technology. In the future, there needs to be increased access to technology and ongoing training to ensure the sustainability of AI utilization in elementary education in Bukittinggi

PERANCANGAN APLIKASI ABSENSI SHOLAT DZUHUR SISWA MENGGUNAKAN KODULAR DI SMP NEGERI 2 PAYAKUMBUH Muhammad Ghadafi; Gusnita Darmawati; Yulifda Elin Yuspita; Firdaus Annas
EDU RESEARCH Vol 5 No 3 (2024): EDU RESEARCH
Publisher : IICLS (Indonesian Institute for Corporate Learning and Studies)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47827/jer.v5i3.399

Penelitian ini dilatarbelakangi dari suatu permasalahan SMP Negeri 2 Payakumbuh yaitu kegiatan absensi sholat dzuhur yang masih menggunakan absensi manual menimbulkan banyak kendala, antara lain banyaknya data absensi yang tidak valid dan tingginya risiko kehilangan atau rusaknya kertas absensi karena masih disimpan secara manual. Karena jumlah siswa kelas 7 hingga 9 di SMP Negeri 2 Payakumbuh berjumlah lebih dari 800 orang, maka pengolahan data kehadiran sholat dzuhur siswa di sekolah tersebut, mulai dari pendataan kehadiran harian hingga rekapitulasi kehadiran, memerlukan waktu yang lama, dan tingkat kesalahan yang masih cukup tinggi. Hal ini dapat berdampak pada kebenaran data absensi tersebut. Penulis merancang aplikasi absensi sholat dzuhur menggunakan Kodular di SMP Negeri 2 Payakumbuh dengan metode Research and Development (RnD) dengan pendekatan ADDIE (Analyze, Design, Develop, Implementation, Evaluate). Dalam penelitian ini digunakan tiga jenis pengujian produk, uji efektivitas menggunakan rumus statistik Richard R. Hake (G-Score), uji praktikalitas menggunakan moment kappa, dan uji validitas menggunakan rumus statistik Aiken's V. Uji validitas, praktikalitas, dan efektivitas digunakan dalam pengujian produk. Hasil uji praktikalitas dengan sepuluh orang guru SMP Negeri 2 Payakumbuh diperoleh nilai 0,79 dikategorikan memiliki tingkat kepraktisan sangat tinggi, dan hasil uji efektivitas dengan dua orang guru informatika diperoleh nilai 0,91 yaitu dikategorikan memiliki tingkat efektivitas yang tinggi. Uji validitas produk dengan dua orang ahli di bidang pemrograman dan satu orang ahli di bidang kebahasaan memperoleh nilai rata-rata akhir sebesar 0,94 yang dikategorikan valid. Maka dari hasil tersebut, produk Aplikasi Absensi Sholat Dzuhur Siswa Menggunakan Kodular di SMP Negeri 2 Payakumbuh sudah valid, praktis, dan efektif untuk digunakan.

Implementation of Convolutional Neural Networks (CNN) in An Emotion Detection System for Measuring Learning Concentration Levels Chan, Fajri Rinaldi; Firdaus Annas; Yulifda Elin Yuspita; Gusnita Darmawati
Knowbase : International Journal of Knowledge in Database Vol. 4 No. 1 (2024): June 2024
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/knowbase.v4i1.8429

Technological advancements have had a significant impact on the education sector, including the application of Convolutional Neural Networks (CNN) for facial image analysis. This research aims to implement CNN to measure students' learning concentration levels. The FER2013 dataset, which includes seven emotion classifications and comprises 28,709 images for training data, is used as the database. The data is processed through rescaling and augmentation to prepare the CNN model. The model consists of several convolutional layers, pooling layers, and fully connected layers designed to extract crucial features from facial images. Evaluation results demonstrate a very high accuracy of 94.95% on training data, indicating that the model effectively recognizes complex patterns within the data. Although there is a higher loss value of 157% and a decreased accuracy of 62.75% on validation data, this suggests that the model possesses a strong foundational capability and can still be improved through further adjustments. With high accuracy in training and promising validation results, the model shows substantial potential for real-world application, where it can assist teachers in understanding students' emotional responses in real-time. The implementation of CNN aids educators in comprehending students' emotional responses and adapting their teaching methods more effectively, thereby creating a more conducive learning environment and enhancing students' academic and social development. These findings also open opportunities for further research to improve the performance and generalization of the model on unseen data, making this technology an increasingly reliable tool in education

Improving Elementary Teacher’s Skills by Using Digital Tools for Interactive Learning Liza Efriyanti, Liza Efriyanti; Sarwo Derta; Firdaus Annas; Sri Atiqah; Tiara Hardiana Putri; Sadar Martua Haholongan Sir; Muhammad Anis Muharram
Salus Publica: Journal of Community Service Vol. 3 No. 1 (2025): April 2025
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saluspublica.v3i1.411

Improving the competence of teachers at Campago Ipuh Elementary School, Bukittinggi still faces challenges in utilizing technology for interactive learning. Along with the development of the era, the use of digital tools in the learning process is important to improve the quality of education. Therefore, training is needed for teachers to optimize the use of digital technology in teaching. The purpose of this service is to improve the competence of elementary school teachers in utilizing digital tools in interactive learning. The methodology used is training and mentoring in the form of workshops that teach the use of various digital learning applications, as well as providing simulations of the use of these tools in everyday learning. The results obtained show a significant increase in teachers' ability to use digital technology, especially in designing more interesting and effective interactive learning. Teachers are also more confident in integrating technology in the classroom. In conclusion, the use of digital tools has proven effective in improving teacher competence and learning quality. The recommendation from this activity is that similar training be carried out continuously and involve more teachers in other areas.

Implementation of Convolutional Neural Networks (CNN) in An Emotion Detection System for Measuring Learning Concentration Levels Chan, Fajri Rinaldi; Firdaus Annas; Yulifda Elin Yuspita; Gusnita Darmawati
Knowbase : International Journal of Knowledge in Database Vol. 4 No. 1 (2024): June 2024
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/knowbase.v4i1.8429

Technological advancements have had a significant impact on the education sector, including the application of Convolutional Neural Networks (CNN) for facial image analysis. This research aims to implement CNN to measure students' learning concentration levels. The FER2013 dataset, which includes seven emotion classifications and comprises 28,709 images for training data, is used as the database. The data is processed through rescaling and augmentation to prepare the CNN model. The model consists of several convolutional layers, pooling layers, and fully connected layers designed to extract crucial features from facial images. Evaluation results demonstrate a very high accuracy of 94.95% on training data, indicating that the model effectively recognizes complex patterns within the data. Although there is a higher loss value of 157% and a decreased accuracy of 62.75% on validation data, this suggests that the model possesses a strong foundational capability and can still be improved through further adjustments. With high accuracy in training and promising validation results, the model shows substantial potential for real-world application, where it can assist teachers in understanding students' emotional responses in real-time. The implementation of CNN aids educators in comprehending students' emotional responses and adapting their teaching methods more effectively, thereby creating a more conducive learning environment and enhancing students' academic and social development. These findings also open opportunities for further research to improve the performance and generalization of the model on unseen data, making this technology an increasingly reliable tool in education

PENGARUH MODEL PEMBELAJARAN KOOPERATIF TIPE BAMBOO DANCING TERHADAP HASIL BELAJAR SISWA PADA MATA PELAJARAN INFORMATIKA KELAS X KULINER DI SMK NEGERI 3 PAYAKUMBUH Suci Rahmawati; Supriadi; Firdaus Annas; Liza Efriyanti
Didaktik : Jurnal Ilmiah PGSD STKIP Subang Vol. 12 No. 01 (2026): Volume 12 No. 01, Maret 2026 Release
Publisher : STKIP Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36989/didaktik.v12i01.11705

This study was motivated by the low learning outcomes of students in computer science, which have not reached the learning completeness level. Various problems arise from ineffective learning processes. To overcome this, it is necessary to apply learning strategies that can improve student learning outcomes. One strategy that is considered appropriate is the Bamboo Dancing cooperative learning model, as it encourages students to work together, exchange information, and solve problems related to the learning material. Based on the above issues, the research question in this study is how much influence does the Bamboo Dancing cooperative learning model have on student learning outcomes in the subject of Informatics for Grade X Culinary students at SMK Negeri 3 Payakumbuh. This type of research is quantitative research using an experimental method, employing a Non-Equivalent Control Group Design. Based on the analysis of student learning outcome test data, a t-value of 3.128 was obtained with a degree of freedom (df) = 70 and a significance level of 0.05, resulting in a significance (2-tailed) = 0.0003 (<0.005). Therefore, H0 is rejected and H1 is accepted. This shows that the Bamboo Dancing cooperative learning model has a significant effect on student learning outcomes in Informatics. The magnitude of the effect of applying this learning model based on the coefficient of determination test is 0.674 or 67.4%, which means that the use of the Bamboo Dancing cooperative learning model has a positive effect on improving student learning outcomes in Informatics for Grade X Culinary students at SMK Negeri 3 Payakumbuh.

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