Journal
PENERAPAN MODELLING LEARNING DENGAN VIDEO EKSPERIMEN UNTUK MENINGKATKAN KETERAMPILAN PROSES SAINS SISWA
Chemistry in Education · Vol. 2 No. 1 (2013)
- ISSN
- 2502-6852, 2252-6609
- Published
- 2013-04-07
- Publisher
- Universitas Negeri Semarang
- Language
- eng
Abstract
Penelitian tindakan kelas ini bertujuan untuk meningkatkan keterampilan proses sains kimia siswa melalui metode modelling learning dengan bantuan media video eksperimen. Melalui metode yang diterapkan, video eksperimen digunakan sebagai bentuk pemodelan keterampilan proses sains yang diajarkan kepada siswa. Penelitian dilaksanakan dalam dua siklus dimana setiap siklus terdiri atas perencanaan, tindakan, pengamatan, dan refleksi. Teknik pengumpulan data yang digunakan adalah teknik dokumentasi, observasi dan angket. Penilaian keterampilan proses sains siswa dilakukan dengan assesmen unjuk kerja menggunakan instrumen lembar observasi. Berdasarkan hasil pengamatan, ditunjukkan adanya peningkatan nilai keterampilan proses sains siswa yang signifikan sebesar 20,32% dari siklus I ke siklus II. Selain itu, nilai siswa pada setiap indikator keterampilan proses sains juga mengalami peningkatan. Indikator-indikator tersebut adalah mengamati, mengelompokkan atau mengklasifikasikan, menafsirkan, meramalkan, mengajukan pertanyaan, merumuskan hipotesis, merencanakan percobaan, menggunakan alat dan bahan, menerapkan konsep, dan mengkomunikasikan hasil. Berdasarkan hasil penelitian, dapat disimpulkan bahwa menerapkan modelling learning dengan video eksperimen dapat meningkatkan keterampilan proses sains kimia siswa.
Collaboration network of the authors
40 authors · 189 co-authorship links · 3 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
- University of Bremen
- 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 |
|---|---|---|
| Sudarmin Sudarmin | Affiliation unknown | 8 |
| Agung Tri Prasetya | State University of Semarang | 6 |
| Sri Susilogati Sumarti | State University of Semarang | 5 |
| Sri Wardani | State University of Semarang | 5 |
| Eko Budi Susatyo | Affiliation unknown | 5 |
| Sri Kadarwati | State University of Semarang | 4 |
| Sri Haryani | Affiliation unknown | 4 |
| Arif Widiyatmoko | State University of Semarang | 4 |
| Kasmadi Imam Supardi | State University of Semarang | 4 |
| Sri Nurhayati | Affiliation unknown | 4 |
| Endang Susilaningsih | State University of Semarang | 4 |
| Edy Cahyono | State University of Semarang | 4 |
| Sigit Priatmoko | State University of Semarang | 3 |
| Winarni Pratjojo | Affiliation unknown | 3 |
| Ina Anggreani | Affiliation unknown | 2 |
| Harjito Harjito | Affiliation unknown | 2 |
| Nurwachid Budi Santosa | Affiliation unknown | 2 |
| Soeprodjo Soeprodjo | Affiliation unknown | 2 |
| Harjono Harjono | Affiliation unknown | 2 |
| Sri Mursiti | Affiliation unknown | 2 |
| Jumaeri Jumaeri | Affiliation unknown | 2 |
| Cepi Kurniawan | State University of Semarang | 2 |
| Agung Tri Prasetyo | Affiliation unknown | 2 |
| Kusoro Siadi | Affiliation unknown | 2 |
| Stephani Diah Pamelasari | State University of Semarang | 2 |
| Siti Herlina Dewi | State University of Semarang | 1 |
| Muhammad Firdaus Imaduddin | University of Bremen | 1 |
| Sudarmin Sudarmin | State University of Semarang | 1 |
| Dwi Norma Gupitasari | State University of Semarang | 1 |
| S. Saptorini | Affiliation unknown | 1 |
| Ellisa Auliya Ashfa | Affiliation unknown | 1 |
| Hayyu Hidayah | Affiliation unknown | 1 |
| Triastuti Sulistyaningsih | Affiliation unknown | 1 |
| Fatimah Khoirunisa | Affiliation unknown | 1 |
| Astri Dewi | Affiliation unknown | 1 |
| Saroyah Saroyah | Affiliation unknown | 1 |
| Anggun Zuhaida | 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.