Raden Arsyilia Putri Makin Nabila
Universitas Pendidikan Indonesia

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PELATIHAN PENGUATAN MATERI DATA DAN PELUANG UNTUK MENINGKATKAN KOMPETENSI MAHASISWA PPG MATEMATIKA Suci Charolina; Raden Arsyilia Putri Makin Nabila; Intan Nurlianti; Sinitta Marito Simanjuntak; Rita Anggraeni; Yarits Hanifan Fakhruddin; Maulana Al Aziz Harahap
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 6 No. 1 (2025): Volume 6 No. 1 Tahun 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v6i1.42156

Abstract

Pelaksanaan pembelajaran yang berkualitas memerlukan guru yang kompeten dan profesional. Untuk meningkatkan kualitas pendidikan, terutama bagi mahasiswa PPG yang akan mengajar di sekolah, diperlukan pelatihan penguatan materi matematika. Hal ini penting karena mahasiswa PPG memiliki latar belakang pendidikan dan pengalaman yang beragam, sehingga mereka perlu memperkuat pemahaman terhadap materi penting dalam kurikulum, salah satunya adalah Data dan Peluang. Kegiatan pengabdian ini bertujuan untuk memberikan pelatihan penguatan materi Data dan Peluang kepada mahasiswa PPG Matematika Universitas Pendidikan Indonesia. Metode pelatihan yang digunakan meliputi ceramah, tanya jawab, dan latihan soal, yang disampaikan secara daring melalui platform Zoom. Hasil pelatihan menunjukkan adanya peningkatan pemahaman mahasiswa terhadap materi yang diajarkan, dengan nilai N-gain sebesar 0,51 yang tergolong dalam kategori sedang. Meskipun demikian, pelatihan daring ini dihadapkan pada beberapa kendala, seperti gangguan jaringan yang mempengaruhi fokus peserta.
ANALYSIS OF STUDENT ERRORS IN COMPUTATIONAL THINKING BASED ON NEWMAN’S ERROR ANALYSIS IN STATISTICS Raden Arsyilia Putri Makin Nabila; Rizky Rosjanuardi; Siti Fatimah
JURNAL EDUSCIENCE Vol 13, No 3 (2026): Jurnal Eduscience (JES), (Authors from Malaysia, Saudi Arabia, and Indonesia)
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jes.v13i3.9318

Abstract

Purpose – Computational thinking is a fundamental skill every individual must possess, alongside reading and writing. Limitations in implementing this skill lead to student errors. This study aims to analyze errors in computational thinking using Newman’s error analysis in statistics.Methodology – The research method was qualitative, using a case study approach, and was conducted with 17 ninth-grade students from a junior high school in Garut Regency who had studied statistics. Three students were selected as subjects, each representing a different category of computational thinking. Data were collected through a computational thinking essay test containing decomposition, pattern recognition, abstraction, and algorithmic thinking in each question, as well as interview results.Findings – S1, S2, and S3 made errors in the computational thinking components. In decomposition, S1 and S2 made no errors, while S3 made a comprehension error. In pattern recognition, S1 made no errors, while S2 and S3 made understanding errors. In abstraction, S1 also made no errors, whereas S2 and S3 made errors in understanding and transformation. In algorithmic thinking, all three subjects made errors, specifically process skills errors and errors in writing the final answer.Contribution – This study contributes to educational assessment by showing how Newman Error Analysis evaluates students’ cognitive processes in computational thinking within mathematics learning. The findings provide diagnostic information that helps teachers make instructional decisions, develop targeted interventions, and improve evaluation practices in statistics education.