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All Journal MURHUM : JURNAL PENDIDIKAN ANAK USIA DINI Journal of Educational Studies
Festy Maharani, Jessica
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Humanities Education Languange, Linguistic, Communication & Media Social Sciences Other

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Thematic Network Analysis Instrumen Penilaian Visitasi Akreditasi PAUD Iqbal, Muhammad; Zainul Irfan, Ahmad; Festy Maharani, Jessica; Anam, Khaerul
Murhum : Jurnal Pendidikan Anak Usia Dini Vol. 6 No. 2 (2025): Desember
Publisher : Perkumpulan Pengelola Jurnal (PPJ) PAUD Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37985/murhum.v6i2.1613

Abstract

Penelitian ini bertujuan untuk menganalisis struktur tematik dan keterkaitan indikator dalam Instrumen Penilaian Visitasi (IPV) Akreditasi PAUD, sebagai dasar dalam pemetaan potensi reusabilitas bukti kinerja antar indikator. Penelitian dapat dikeleompokkan ke dalam penelitian kepustakan dengan pendekatan analisis dokumen. Sumber data penelitian adalah dokumen Instrumen Penilaian Visitasi (IPV) Akreditasi PAUD. Seluruh komponen, butir, dan indikator yang terdapta dalam IPV Akreditasi PAUD dianalisis dan diekstrak menggunakan metode Thematic Network Analysis. Hasil penelitian menunjukkan bahwa 99 indikator  tersebut memiliki substansi yang saling terkait dan dapat diekstrak ke dalam struktur tematik yang lebih sederhana dan sistematis. Terdapat 9 tema dasar yang berhasil diekstrak, lalu dipadatkan lagi menjadi 4 tema pengorganisasi, dan akhirnya disintesis lagi ke dalam tiga tema umum berdasarkan kinerja unsur utama, yaitu pendidik, satuan PAUD, dan orang tua. Ekstraksi menjadi 3 tema umum ini memberikan penekanan akan pentingnya kontribusi dan akuntabilitas masing-masing aktor, terutama pendidik, dalam menentukan mutu layanan PAUD. Temuan penelitian ini diharapkan dapat memberikan manfaat praktis bagi satuan PAUD dalam penyusunan portofolio kinerja, dan bagi asesor, dapat menjadi panduan awal dalam mengidentifikasi bukti kinerja untuk suatu indikator yang dapat digunakan juga untuk indikator lain.
Implementation Of Deep Learning As An Adaptive Learning Approach For Students With Diverse Learning Styles At SD-IT Ass-Shiddiqin Suharyani, Suharyani; Festy Maharani, Jessica; Triwahyuni, Triwahyuni; Dwi Wardani, Sugita
Journal of Educational Studies Vol. 4 No. 1 (2026): April
Publisher : Lembaga Bale Literasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58218/jes.v4i1.2715

Abstract

This study examines the effectiveness of deep learning as an adaptive learning method for elementary students with diverse learning styles at SD-IT Ass-Shiddiqin. It is based on the challenge that students exhibit varied learning preferences—visual, auditory, reading/writing, kinesthetic, and multimodal—requiring more personalized instructional approaches. Deep learning, as part of artificial intelligence, enables real-time analysis of student interaction data to identify learning patterns that are difficult to detect manually. This capability allows the system to deliver learning materials tailored to individual student needs. The research employed a quasi-experimental design using a non-equivalent control group approach. Two classes were involved: an experimental group that used deep learning-based adaptive learning and a control group that applied conventional methods. Instruments included a VARK questionnaire to identify learning styles, pre-tests and post-tests to measure learning outcomes, as well as observation and documentation. Data analysis involved tests of normality, homogeneity, t-test, and ANOVA.The findings revealed a significant improvement in the experimental group’s academic performance. Post-test scores increased markedly compared to pre-test results and were higher than those of the control group. The t-test indicated a significant difference (p < 0.05), while the effect size (Cohen’s d = 1.32) showed a very strong impact. ANOVA results also confirmed that learning styles significantly influenced adaptive learning outcomes (p < 0.05). Overall, deep learning-based adaptive learning proved effective in enhancing motivation, engagement
Co-Authors Dwi Wardani, Sugita Khaerul Anam Muhammad Iqbal Suharyani Suharyani Triwahyuni Triwahyuni Zainul Irfan, Ahmad