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All Journal Pendas : Jurnah Ilmiah Pendidikan Dasar BAKTI : Jurnal Pengabdian Kepada Masyarakat
Ulfa Nurfitria Ardilla
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Education Environmental Science Languange, Linguistic, Communication & Media Social Sciences Other

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Strengthening the Understanding of Research Gaps through TikTok as a Social Media Platform Kartika Eka Pertiwi; Riyan Jaya Sumantri; Oktari Pradina Anggi; Ulfa Nurfitria Ardilla
Bakti : Jurnal Pengabdian Kepada Masyarakat Том 5 № 2 (2025): Bakti: Jurnal Pengabdian Kepada Masyarakat
Publisher : Lembaga Layanan Pendidikan Tinggi (LLDIKTI) Wilayah XII Ambon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51135/bakti.5.2.10-19

Abstract

Platform TikTok berpeluang besar dikembangkan membentuk budaya belajar yang baik namun masih didominasi oleh konten hiburan yang tidak edukatif. Berdasarkan observasi diberbagai institusi pendidikan tinggi, pemahaman terhadap elemen penting dalam penelitian dan tugas akhir seperti konsep research gap, masih menjadi tantangan besar bagi banyak mahasiswa. Hal ini berdampak pada rendahnya kualitas dan kontribusi akademik yang ditawarkan dari tugas akhir mahasiwa. Penggunaan media sosial TikTok sebagai sarana edukasi terbukti efektif, namun keterlibatan dosen dalam menciptakan konten edukatif masih sangat terbatas. Pengabdian kepada masyarakat ini bertujuan menjadikan TikTok sebagai media transformasi digital untuk memperkuat literasi riset, khususnya dalam memahami konsep research gap. Kegiatan pengabdian kepada masyarakat ini dilakukan melalui 3 tahap, yaitu tahap persiapan, pelaksanaan, dan tahap evaluasi. Persentase engagement rate video tersebut diketahui sebesar 16,51% dengan 404.000 tayangan, 32.100 suka, 142 komentar, dan 3.392 kali dibagikan, 31.500 simpan dan penambahan pengikut baru sebanyak 630.
EFEKTIVITAS DESAIN PEMBELAJARAN DENGAN PENDEKATAN DEEP LEARNING BERBASIS MODEL ADDIE TERHADAP HASIL BELAJAR SISWA SDIT PERMATA BUNDA BANDAR LAMPUNG Setiadi, Kusno; Anggi, Oktari Pradina; Ulfa Nurfitria Ardilla; Fernanda, Fitra Endi; Hidayat, Karyadi; Wati, Yuning Eka Rahma
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 01 (2026): Volume 11 No. 01 Maret 2026
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i01.40634

Abstract

This study aims to examine the effectiveness of instructional design based on the ADDIE model with a deep learning approach on students’ learning outcomes at SDIT Permata Bunda Bandar Lampung. The research employed a quantitative approach using a quasi-experimental method with a Nonequivalent Control Group Design. The research subjects consisted of two classes, namely an experimental class and a control class, each comprising 30 students. The experimental class was taught using an instructional design based on the ADDIE model integrated with a deep learning approach, while the control class received conventional instruction. Data were collected using a learning achievement test administered as pretest and posttest. The data were analyzed using descriptive statistics, Kolmogorov–Smirnov normality test, Levene’s homogeneity test, independent samples t-test, and N-Gain analysis. The results indicated that the average posttest score of the experimental class (86.00) was higher than that of the control class (68.83). The independent samples t-test showed a significance value of 0.000 (p < 0.05), indicating a statistically significant difference in learning outcomes between the two groups. Furthermore, the N-Gain analysis revealed that the experimental class achieved a moderate level of improvement (0.61), while the control class showed a low level of improvement (0.10). Therefore, it can be concluded that instructional design based on the ADDIE model with a deep learning approach is effective in improving elementary school students’ learning outcomes.
Co-Authors Anggi, Oktari Pradina Fitra Endi Fernanda, Fitra Endi Kartika Eka Pertiwi Karyadi Hidayat Kusno Setiadi Oktari Pradina Anggi Riyan Jaya Sumantri Yuning Eka Rahma Wati