Journal
Pengembangan Instrumen Three Tier Diagnostic Test Berbasis Multirepresentasi untuk Menganalisis Miskonsepsi Siswa pada Materi Asam Basa
Chemistry in Education · Vol. 12 No. 2 (2024) · pp. 144–152
- ISSN
- 2502-6852, 2252-6609
- Published
- 2024-01-23
- Publisher
- Universitas Negeri Semarang
- Language
- eng
Abstract
Penelitian ini bertujuan untuk mengembangkan instrumen three tier diagnostic test berbasis multirepresentasi untuk mengidentifikasi miskonsepsi siswa yang dianalisis menggunakan model Rasch. Penelitian dilakukan menggunakan desain 4D yang dikemukakan oleh Thiagarajan meliputi tahap: define, design, development, dan disseminate, namun dalam penelitian ini hanya sampai pada tahap development. Hasil validasi ahli menunjukkan instrumen tes masuk dalam kategori sangat valid dengan ratarata skor 111,3 dari total skor 120. Hasil analisis reliabilitas menggunakan model Rasch menunjukkan bahwa reliabilitas instrumen belum cukup baik. Hasil analisis miskonsepsi secara klasikal menunjukkan sebanyak 47% siswa paham konsep, 16% siswa mengalami miskonsepsi positif, 12% siswa mengalami miskonsepsi negatif, 15% siswa mengalami miskonsepsi utuh, 4% siswa kurang paham, 1% siswa kurang yakin, dan 5% siswa tidak paham konsep. Siswa secara umum memberikan respon positif terhadap instrumen tes dibuktikan dengan angket. Persentase siswa yang memberikan respon setuju dan sangat setuju yakni sebanyak 45% dan 21% pada uji skala kecil, 63% dan 14% pada uji skala besar, serta 62% dan 14% pada uji implementasi.
Collaboration network of the authors
40 authors · 247 co-authorship links · 8 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.
- State University of Semarang
- Universitas Airlangga
- Walisongo State Islamic University
- National University of Malaysia
- 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 |
|---|---|---|
| Sri Haryani | Affiliation unknown | 15 |
| Nanik Wijayati | State University of Semarang | 12 |
| Sri Wardani | State University of Semarang | 10 |
| Kasmui Kasmui | State University of Semarang | 10 |
| Sri Nurhayati | State University of Semarang | 9 |
| Supartono Supartono | Affiliation unknown | 8 |
| Jumaeri Jumaeri | Affiliation unknown | 8 |
| Woro Sumarni | State University of Semarang | 8 |
| Sri Susilogati Sumarti | State University of Semarang | 7 |
| Sudarmin Sudarmin | Affiliation unknown | 7 |
| Murbangun Nuswowati | State University of Semarang | 6 |
| Harjito Harjito | Affiliation unknown | 6 |
| Sri Mursiti | Affiliation unknown | 5 |
| Agung Tri Prasetya | State University of Semarang | 5 |
| SRI WAHYUNI | Affiliation unknown | 5 |
| Edy Cahyono | State University of Semarang | 5 |
| Cepi Kurniawan | State University of Semarang | 5 |
| Yosephine Debbie Damayanti | Affiliation unknown | 5 |
| Eko Budi Susatyo | Affiliation unknown | 4 |
| Kasmadi Imam Supardi | State University of Semarang | 4 |
| Kartono Kartono | Universitas Airlangga | 4 |
| Sri Kadarwati | State University of Semarang | 4 |
| Supriyadi Supriyadi | Affiliation unknown | 3 |
| Triastuti Sulistyaningsih | Affiliation unknown | 3 |
| Sri Susilogati Sumarti | Affiliation unknown | 3 |
| Apriliana Drastisianti | Walisongo State Islamic University | 2 |
| Ani Rusilowati | State University of Semarang | 2 |
| Agung Tri Prasetya | Affiliation unknown | 2 |
| Samuel Budi Wardana Kusuma | Affiliation unknown | 2 |
| Melinda Dwi Lestari | Affiliation unknown | 2 |
| Achmad Binadja | Affiliation unknown | 2 |
| Azza Khisnu Addiani | Affiliation unknown | 2 |
| Nuni Widiarti | State University of Semarang | 2 |
| Isnaini Putri Salimnah | State University of Semarang | 1 |
| Harjono | State University of Semarang | 1 |
| Lilia Ellany Mohtar | National University of Malaysia | 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.