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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Inovasi Pengabdian Masyarakat
Subariah, Risah
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Religion Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Economics, Econometrics & Finance Education Environmental Science Health Professions Materials Science & Nanotechnology Physics

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Pentingnya Memahami Cyber Security di Era Transformasi Digital pada Pesantren Daar El Manshur Depok Fahrudin, Endin; Subariah, Risah; Nurhidayatuloh, Nurhidayatuloh
JUPNA: Jurnal Pengabdian Astina Vol 2 No 1 (2024): JIPM: Jurnal Inovasi Pengabdian Masyarakat
Publisher : CV. Astina Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55903/jipm.v2i1.143

Abstract

Dalam era digital yang semakin maju, data pribadi telah menjadi aset yang sangat berharga. Sosialisasi tentang keamanan data menjadi semakin penting guna menyadarkan individu tentang betapa krusialnya melindungi informasi pribadi mereka dari berbagai ancaman di dunia maya. Sosialisasi ini mencakup berbagai aspek, seperti penggunaan kata sandi yang kuat, kehati-hatian dalam berbagi informasi pribadi secara online, perlindungan terhadap peretasan, dan pemahaman tentang privasi data. Dengan meningkatkan kesadaran terhadap masalah ini, individu dapat berperan aktif dalam menjaga keamanan data pribadi mereka sendiri serta berkontribusi pada keselamatan data dalam skala yang lebih besar. Tidak hanya penting untuk melindungi diri sendiri, tetapi juga bagi organisasi, lembaga, atau perusahaan untuk memberikan edukasi kepada anggota mereka tentang pentingnya keamanan data. Dalam dunia yang semakin terhubung dan terdigitalisasi, sosialisasi ini menjadi fondasi yang kuat dalam memastikan bahwa data pribadi tetap aman dan terlindungi dari potensi ancaman di era digital.
Implementation of Natural Language Processing Based Chatbot as a Virtual Assistant in Science Learning Eriana, Emi Sita; Subariah, Risah
Jurnal Penelitian Pendidikan IPA Vol 11 No 10 (2025): October
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i10.12747

Abstract

Inadequate conceptual understanding and declining learning motivation remain major challenges in science education. To address these issues, this study implemented a Natural Language Processing (NLP)-based chatbot as a virtual assistant designed to provide adaptive feedback and personalized guidance in science learning. A mixed-methods approach was employed, integrating quantitative and qualitative phases within a quasi-experimental pretest–posttest control group design involving 240 tenth-grade students in Jakarta over eight weeks. Quantitative data from the Science Achievement Test (SAT) and Science Learning Motivation Scale (SLMS) were analyzed using an independent samples t-test, while qualitative data from interviews and learning analytics were used to explain behavioral and motivational changes. The experimental group showed a substantial improvement in conceptual understanding, increasing from a mean pretest score of 42.5 to 88.4, compared to 44.1 to 62.7 in the control group (t(238) = 11.34, p < 0.001, d = 1.56). Motivation scores also increased significantly across all dimensions (p < 0.001), particularly in self-efficacy (η²p = 0.198). Learning analytics indicated higher interaction frequencies and longer engagement times. Students reported five perceived benefits: 24/7 accessibility, personalized explanations, increased questioning confidence, support for complex concept visualization, and stronger self-driven learning motivation. Overall, the NLP-based chatbot effectively enhanced science learning outcomes and motivation.
Co-Authors Eriana, Emi Sita Fahrudin, Endin Nurhidayatuloh Nurhidayatuloh, Nurhidayatuloh