Journal
PERBEDAAN HASIL BELAJAR MATERI BATERAI ANTARA MODEL PEMBELAJARAN KOOPERATIF (JIGSAW DAN NUMBERED HEAD TOGETHER) DENGAN MODEL PEMBELAJARAN EKSPOSITORI
Automotive Science and Education Journal · Vol. 2 No. 2 (2013)
- ISSN
- 2829-5080, 2252-6595
- Published
- 2013-07-27
- Publisher
- Jurusan Teknik Mesin, Fakultas Teknik Universitas Negeri Semarang
- Language
- eng
Abstract
abstrakPenelitian ini merupakan penelitian eksperimen yang bertujuan untuk mengetahui mana yang lebih baik antara model pembelajaran kooperatif tipe Jigsaw dengan NHT serta model ekspositori pada materi baterai. Rancangan penelitian Control Group Pretest Posttest. Populasi penelitian ini siswa kelas X Teknik Kendaraan Ringan (TKR) SMK Muhammadiyah 02 Boja Tahun Ajaran 2012/2013. Sedangkan sampelnya siswa kelas X TKR 1 sejumlah 36 siswa diberikan model pembelajaran kooperatif tipe Jigsaw, kelas X TKR 3 berjumlah 36 siswa diberikan model pembelajaran tipe NHT dan kelas X TKR 2 sebanyak 35 siswa sebagai kelas kontrol dengan model pembelajaran ekspositori. Analisis data menggunakan uji-F dan uji-t. Hasil penelitian menyimpulkan terdapat perbedaan signifikan pada ketiga kelompok dan penerapan model pembelajaran kooperatif tipe Jigsaw dan NHT lebih baik daripada dengan model ekspositori, serta dapat disimpulkan hasil belajar siswa pada materi baterai pada model pembelajaran kooperatif tipe NHT lebih baik daripada tipe Jigsaw.abstractThis study aims to determine which one is better between cooperative learning model type Jigsaw with NHT and expository on battery material. This type of research is experimental research design post-test group design. This study population is students of class X TKR SMK Muhammadiyah 02 Boja in Academic Year 2012/2013. The samples in this study were students of class X TKR 1 a total of 36 students are given learning model Jigsaw type, class X TKR 3 many as 36 students are NHT and class X TKR 2 as many as 35 students with a control class expository teaching model. Data analysis using F-test and t-test. This study concluded are significant differences in the three groups and the implementation of cooperative learning model type Jigsaw and NHT better than expository model, and the average student learning outcomes in battery material on NHT type is better than the type of Jigsaw.
Collaboration network of the authors
31 authors · 65 co-authorship links
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- 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 |
|---|---|---|
| Masugino - | Affiliation unknown | 2 |
| Pramesti Dewi | Affiliation unknown | 1 |
| Dewi Mustikaningtyas | Affiliation unknown | 1 |
| Siti Harnina Bintari | Affiliation unknown | 1 |
| Lusi Maswahyu Andriyani | Affiliation unknown | 1 |
| Pangestu | Affiliation unknown | 1 |
| Setiawan Hendarto | Affiliation unknown | 1 |
| Widya Aryadi | Affiliation unknown | 1 |
| Pramono - | Affiliation unknown | 1 |
| Sudita - | Affiliation unknown | 1 |
| Ade Nurdyansyah | Affiliation unknown | 1 |
| Anton Ary Wibowo | Affiliation unknown | 1 |
| Achmad Sholeh | Affiliation unknown | 1 |
| Dony Hidayat Al-Janan | Affiliation unknown | 1 |
| Soesanto - | Affiliation unknown | 1 |
| Idris Umar | Affiliation unknown | 1 |
| Ari Agung Nugroho | Affiliation unknown | 1 |
| M.Khumaedi - | Affiliation unknown | 1 |
| Dwi Ardiyanto - Effendy | Affiliation unknown | 1 |
| Wirawan Sumbodo | Affiliation unknown | 1 |
| Rizki Setiadi | Affiliation unknown | 1 |
| Arif Rahmadhi | Affiliation unknown | 1 |
| Nurul Hadi Mustofa | Affiliation unknown | 1 |
| Syahid Tri Kusuma Wijaya Al Muhyi | Affiliation unknown | 1 |
| Andri Setiyawan | Affiliation unknown | 1 |
| Febrian Arif Budiman | Affiliation unknown | 1 |
| Ahmad Anwar | Affiliation unknown | 1 |
| Sudiyono | 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.