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All Journal Kalam: Jurnal Agama dan Sosial Humaniora PELS (Procedia of Engineering and Life Science) Journal of Education, Pedagogy and Teacher Training
Rizaldi, Dedy
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Religion Arts Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Classification of Meme Sentiment Analysis On Kaggle.com Sites To Use Support Vector Machine Algorithm: Klasifikasi Analisis Sentimen Meme Pada Situs Kaggle.com Menggunakan Algoritma Support Vector Machine Rizaldi, Dedy; Astutik, Ika Ratna Indra; Rosid, Mochamad Alfan
Procedia of Engineering and Life Science Vol. 5 (2024): Proceedings of the 7th Seminar Nasional Sains 2024
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v7i0.1194

Abstract

Meme is currently one of the media that is often used to convey a message or opinion on a topic that is currently hot in the community, and is widely discussed on social media. Apart from being a means of humor, memes are also commonly used as a medium to convey satire, even 'ridicule' to a party. This encourages curiosity to capture and classify memes circulating on social media, including through public data available on the Kaggle. This study aims to classify memes into three classes of sentiment, namely positive, neutral, and negative. In this case, the researcher uses Support Vector Machine algorithm with Radial Basis Function kernel because it can produce the highest accuracy compared to other kernels. The dataset downloaded through the Kaggle website is in the form of memes that have been labeled and accompanied by Optical Character Recognition (OCR) results consisting of a total of 6,992 meme data. By using Support Vector Machine algorithm, the classification results are obtained at 73.75% while using Naïve Bayes algorithm to obtain an accuracy of 61.24%. This proves that the application of Support Vector Machine algorithm in document classification is able to produce a fairly high accuracy when compared to the Naïve Bayes algorithm
Hukum Tiga Tahap Perkembangan Intelektual Auguste Comte Dalam Perspektif Filsafat Pendidikan Dan Relevansinya Terhadap Pendidikan Agama Islam Rizaldi, Dedy; Syamsul Rijal; Firdaus M. Yunus; Silahuddin
Kalam: Jurnal Agama dan Sosial Humaniora Vol. 14 No. 1 (2026): Agama dan Sosial Humaniora (in progress)
Publisher : Lembaga Studi Agama dan Masyarakat Aceh (LSAMA)

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Abstract

This study aims to analyze the theory of the Law of Three Stages of intellectual development proposed by Auguste Comte namely the theological, metaphysical, and positive stages from the perspective of the philosophy of education, as well as its relevance to the development of Islamic Religious Education (PAI). The research employs a qualitative method with a library research approach. Data analysis techniques include content analysis and philosophical analysis of primary and secondary sources to produce a comprehensive understanding of the integration between scientific rationality and the spiritual dimension. The results of the study indicate that although Comte’s positivism contributes significantly to scientific methodology and the use of rationality and empiricism in modern education, this paradigm tends to reduce the spiritual and moral dimensions by viewing the theological stage as a phase that must be abandoned. In contrast, the perspective of Islamic education offers an integrative epistemology, in which knowledge is derived simultaneously from revelation, reason, and empirical experience.
Implementasi Media Pembelajaran Bahasa Arab Dengan Aplikasi Canva Untuk Meningkatkan Keterampilan Pendidik Rizaldi, Dedy; Hilmi
Journal of Education, Pedagogy and Teacher Training Vol. 1 No. 3 (2026): Journal of Education, Pedagogy and Teacher Training ( IN PROGRES)
Publisher : Barkah Publishing

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Abstract

Arabic language learning in various educational institutions still faces challenges, particularly in terms of low instructional attractiveness and limited teacher skills in developing innovative learning media. Therefore, the use of digital technology is needed as a solution to improve the quality of learning. This study aims to analyze the implementation of the Canva application as a learning medium in improving teachers’ skills in Arabic language instruction. The method used is library research by reviewing various relevant scientific sources such as journals, books, and proceedings related to the research topic. The data analysis technique is conducted using a descriptive-analytical approach by synthesizing findings from previous studies. The results of the study indicate that the use of the Canva application contributes positively to improving teachers’ skills, especially in designing attractive, creative, and interactive learning media. In addition, Canva has also been proven to enhance students’ learning motivation through the presentation of more communicative visual-based materials. Thus, the implementation of Canva in Arabic language learning is an effective alternative in supporting technology-based learning in accordance with the demands of the digital era.
Co-Authors Astutik, Ika Ratna Indra Firdaus M. Yunus Hilmi Mochamad Alfan Rosid Silahuddin Silahuddin Syamsul Rijal