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All Journal Informatics and Enginering Dedication Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer
Siti Aminah
Institut Teknologi Pagar Alam
Computer Science & IT Other

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Analisis Reaksi Emosional Siswa terhadap Pembelajaran SAVI Menggunakan Support Vector Machine Yadi; Siti Aminah
BETRIK Vol. 16 No. 03 (2025): Jurnal Ilmiah BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : PPPM Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/msbn6g22

Abstract

The development of information and communication technology has enabled the implementation of more interactive and personalized learning methods, one of which is the SAVI (Somatic, Auditory, Visual, Intellectual) learning model. This study aims to analyze students' emotional responses to SAVI-based learning using the Support Vector Machine (SVM) algorithm for sentiment classification. The study involved 100 student respondents who provided opinions regarding their learning experiences. Prior to analysis, the opinion data underwent preprocessing, including case folding, cleaning, tokenization, stopword removal, and stemming, to ensure high-quality features for the SVM model. The classification results indicate that the majority of students (65%) showed positive sentiment, while 20% expressed negative sentiment and 15% neutral. Integration of the SAVI model revealed that students with Somatic learning styles tended to show positive sentiment, whereas students with Visual and Intellectual learning styles exhibited a more varied sentiment, including negative and neutral. The SVM model performance evaluation demonstrated high precision, recall, and F1-score, particularly for the majority class, indicating the model's accuracy in classifying student opinions. These findings highlight the importance of considering students' emotional responses in SAVI-based learning, as emotional factors significantly influence motivation and learning outcomes. The integration of SVM and SAVI provides comprehensive insights for designing adaptive, responsive, and data-driven learning strategies to enhance learning effectiveness.
TRANSFORMASI DAKWAH DIGITAL: PELATIHAN PEMBUATAN FRAME KONTEN DAKWAH DENGAN CANVA BAGI PENYULUH AGAMA ISLAM Desi Puspita; Siti Aminah
FORDICATE Vol 5 No 2 (2026): April 2026
Publisher : Universitas Multi Data Palembang, Fakultas Ilmu Komputer dan Rekayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/fordicate.v5i2.15765

Abstract

The development of digital technology has encouraged changes in the methods of delivering religious messages to the community. Islamic religious counselors are required to utilize digital media as a more effective and engaging means of communication in religious outreach. However, many counselors still have limitations in digital content creation skills. This community service activity aims to improve the digital competencies of Islamic religious counselors through training on creating digital content frames using Canva and CapCut applications. The methods used in this activity include socialization, practical training, and mentoring in designing digital da'wah content frames. The participants were Islamic religious counselors at the Kementerian Agama of Pagar Alam City. The results of the activity indicate that participants were able to understand the basic concepts of digital da'wah content design and create attractive content frames using Canva and CapCut. Furthermore, this activity enhanced participants' creativity and ability to utilize digital media as a medium for religious outreach. It is expected that through this training, Islamic religious counselors can optimize the delivery of religious messages to the community through more creative and communicative digital media..
Co-Authors Desi Puspita Yadi