Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Information Technology Education Journal Abdi Kimia : Jurnal Pengabdian Masyarakat
Tangsi
Universitas Negeri Makassar
Humanities Chemistry Computer Science & IT Education Social Sciences Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
The Effectiveness of Mastery Learning Supported by Adaptive Quizzes on Backpropagation Material in Improving Learning Outcomes Abd Akbar Sutiawan; Tangsi; Nurul Nikma Salsabila; Nailul Hajar B; Neli Agustin; Noor Edy Wijaya Sari; Nur Fadhillah M. Aripa
Information Technology Education Journal Vol. 4, No. 4, November (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i4.11193

Abstract

This study investigates the effectiveness of Mastery Learning supported by adaptive quizzes in improving students’ understanding of backpropagation, a key concept in machine learning. The problem addressed is the difficulty students face in mastering complex topics like backpropagation and the limitations of traditional lecture-based teaching methods in facilitating deep learning. A pretest-posttest experimental design was employed with 60 undergraduate students. The experimental group (n=30) used Mastery Learning and adaptive quizzes, while the control group (n=30) followed traditional lecture-based instruction. Data was collected via pretests, posttests, and a survey assessing perceived learning. Paired t-tests and independent t-tests were used for statistical analysis. The experimental group showed a significant improvement in posttest scores (mean = 85.4) compared to the control group (mean = 65.3). The effect size was large (Cohen’s d = 1.2), indicating substantial improvements in learning outcomes. Survey results showed that 94% of students in the experimental group found the adaptive quizzes helpful in understanding backpropagation and expressed a preference for continuing with this method. The study demonstrates the potential of combining Mastery Learning with adaptive quizzes in enhancing learning in machine learning courses. Limitations include the small sample size and the focus on a single topic (backpropagation). The results may not be generalized to other topics or populations. This study contributes to the literature by showing the effectiveness of adaptive learning systems in technical subjects like machine learning. Future research could explore the scalability of this method and its applicability to other machine learning concepts or fields.
PENDAMPINGAN GURU SD DALAM MERANCANG PENGALAMAN BELAJAR BERMAKNA MELALUI EKSPLORASI SENI RUPA BERBASIS PEMBELAJARAN MENDALAM Tangsi; Muftihaturrahmah Burhamzah; Ernawati; Ambo Dalle; Syarifah Fatimah
ABDI KIMIA: Jurnal Pengabdian Masyarakat Vol 3 No 2 (2026): Jurnal Edisi Juni
Publisher : Jurusan Kimia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/asxea083

Abstract

Pembelajaran seni rupa di sekolah dasar masih cenderung imitatif dan kurang memberi ruang eksplorasi serta refleksi. Kegiatan pengabdian ini bertujuan meningkatkan kompetensi guru SD dalam merancang pengalaman belajar seni rupa yang bermakna dan mendalam sesuai tuntutan Kurikulum Merdeka. Kegiatan dilaksanakan pada 22 Mei 2026 bersama MGMP Guru Pendidikan Seni SD Kota Makassar, diikuti 23 dari 25 peserta terdaftar. Metode kegiatan meliputi penyuluhan, pelatihan eksplorasi seni rupa, dan pendampingan penyusunan modul ajar. Hasil menunjukkan skor pengetahuan meningkat dari 54,3 menjadi 78,6; 82,6% peserta meningkat minimal 20 poin; 85,7% rancangan berkategori baik; dan kepuasan peserta mencapai 91,3%. Kegiatan ini efektif memperkuat kompetensi guru dalam merancang pembelajaran seni rupa bermakna.
Co-Authors Abd Akbar Sutiawan Ambo Dalle Ernawati Muftihaturrahmah Burhamzah Nailul Hajar B Neli Agustin Noor Edy Wijaya Sari Nur Fadhillah M. Aripa Nurul Nikma Salsabila Syarifah Fatimah Al Ilmullah