Open access Journal
Efektivitas Feedback pada Asesmen Formatif melalui Quizizz terhadap Penguasaan Konsep dan Motivasi Belajar Siswa pada Materi Sistem Pencernaan: (The Effectiveness of Feedback in Formative Assesment Using Quizizz on Students’ Concept Mastery and Learning Motivation in the Digestive System Topic)
BIODIK · Vol. 12 No. 02 (2026) · pp. 162–171
- ISSN
- 2580-0922, 2460-2612
- Published
- 2026-06-02
- Publisher
- Program Studi Pendidikan Biologi FKIP Universitas Jambi
- Language
- en
Abstract
Biology learning requires a comprehensive understanding of concepts, including the relationships among organ structures, digestive processes, enzyme functions, and disorders of the human digestive system. This study aimed to analyze the effectiveness of descriptive feedback provided through Quizizz-based formative assessment in improving students’ conceptual mastery and learning motivation. A pre-experimental research design was employed, involving 33 Grade 11 science students from a public senior high school in Bogor City. Data on conceptual mastery were collected through tests administered for each subtopic, while learning motivation was measured using a five-point Likert-scale questionnaire administered before and after the intervention. The results showed that the attainment of the Minimum Mastery Criterion (KKM) was uneven across the subtopics. The subtopic of digestive system disorders or abnormalities significantly met the KKM, with a significance value of 0.000. In contrast, the subtopics of the structure and function of digestive organs, mechanical and chemical digestive processes, and the role of enzymes did not show significant attainment. The students’ mean conceptual mastery score was 81.03, with 60.61% of the students meeting the KKM and 39.39% not meeting it. Although the effectiveness based on the KKM was not statistically significant, students’ learning motivation increased significantly from 2.68 to 3.86 on a five-point Likert scale. Therefore, descriptive feedback provided through Quizizz can support students’ conceptual mastery and enhance their learning motivation, although its effectiveness based on the KKM remains uneven. Abstrak. Efektivitas feedback deskriptif otomatis dalam asesmen formatif berbantuan Quizizz menjadi fokus dalam penelitian ini, khususnya terhadap penguasaan konsep dan motivasi belajar siswa pada materi sistem pencernaan manusia. Penelitian dilaksanakan dengan metode pre-eksperimen menggunakan desain one-group pretest-posstest. Sebanyak 33 siswa kelas XI dari salah satu MA Negeri di Kota Bogor. Pengumpulan data dilakukan melalui tes penguasaan konsep serta angket motivasi belajar dengan skala Likert 5 poin. Data yang terkumpul dianalisis secara deskriptif dan inferensial, lalu dikaji berdasarkan ketercapaian Kriteria Ketuntasan Minimal (KKM). Temuan penelitian menunjukkan bahwa penggunaan feedback deskriptif otomatis melalui Quizizz pada asesmen formatif mampu meningkatkan penguasaan konsep dan motivasi belajar siswa. Hal tersebut terlihat dari kenaikan rata-rata skor penguasaan konsep pada setiap submateri. Meski demikian, jika mengacu pada Kriteria Ketuntasan Minimal (KKM), hasil peningkatan belum sepenuhnya optimal karena ketuntasan belum tercapai pada seluruh submateri. Rata-rata motivasi belajar siswa juga mengalami kenaikan, dari 2,68 menjadi 3,86. Pada skala Likert 1-5. Oleh karena itu, feedback deskriptif otomatis berbantuan Quizizz dapat dimanfaatkan sebagai alternatif untuk menunjang penguasaan konsep dan motivasi belajar siswa pada materi sistem pencernaan manusia.
Collaboration network of the authors
40 authors · 89 co-authorship links · 9 across different organisations · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Indonesia University of Education
- State University of Semarang
- National Central University
- University of Michigan
- Universitas Muhammadiyah Bengkulu
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Sunarto Arif Sura | Indonesia University of Education | 2 |
| Efrida Basri | Affiliation unknown | 2 |
| Widi Purwianingsih | Indonesia University of Education | 2 |
| Tri Suwandi | Indonesia University of Education | 1 |
| Kusnadi | Affiliation unknown | 1 |
| Najira | Affiliation unknown | 1 |
| Rahmat Baharudin | Affiliation unknown | 1 |
| Hening Triandika Rachman | National Central University | 1 |
| Angela Lembang | University of Michigan | 1 |
| Dewi Sulistianingsih | State University of Semarang | 1 |
| Wahyu Sopandi | Indonesia University of Education | 1 |
| Nahadi Nahadi | Indonesia University of Education | 1 |
| Wiji Wiji | Indonesia University of Education | 1 |
| Desi Aryanti Nabuasa | Affiliation unknown | 1 |
| Nuryani Rustaman | Affiliation unknown | 1 |
| Safira Permata Dewi | Affiliation unknown | 1 |
| Ghurrotul Bariroh | Affiliation unknown | 1 |
| Rini Solihat | Affiliation unknown | 1 |
| Sigit Saptono | State University of Semarang | 1 |
| Ari Widodo | Indonesia University of Education | 1 |
| Nuryani Y Rustaman | Affiliation unknown | 1 |
| Solikhah Isti Fadilah | Affiliation unknown | 1 |
| Tb Moh Irma Ari Irawan | Affiliation unknown | 1 |
| Oky Rizkiana Silaban | Affiliation unknown | 1 |
| Annisa Syafigha | Affiliation unknown | 1 |
| Dini Nurani Rahmawati | Affiliation unknown | 1 |
| Denia Dwi Citra Resmi | Affiliation unknown | 1 |
| Topik Hidayat | Affiliation unknown | 1 |
| Riandi Riandi | Indonesia University of Education | 1 |
| Lela Nurlaila | Affiliation unknown | 1 |
| Jayanti Syahfitri | Universitas Muhammadiyah Bengkulu | 1 |
| Harry Firman | Indonesia University of Education | 1 |
| Sri Redjeki | Affiliation unknown | 1 |
| Muhammad Ilyas Alkayisy | Affiliation unknown | 1 |
| Farida Fauziah | Affiliation unknown | 1 |
| Amin Al Masyhuri | Affiliation unknown | 1 |
| Agus Sukito | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.