Jurnal
Implementation of Guided Inquiry Model with MURDER Strategy to Improve Elementary School Students' Science Process Skills
Journal of Primary Education · Vol. 11 No. 3 (2022) · hlm. 313–326
- ISSN
- 2502-4515, 2252-6404
- Terbit
- 2022-09-30
- Penerbit
- Universitas Negeri Semarang
- Bahasa
- eng
Abstrak
Science learning is an educational activity that emphasizes the development of students' abilities and skills in learning. One crucial skill that students need to master in the learning process is science process skills. Science process skills enable students to independently discover concepts from various learning sources through exercises conducted during the learning process. This study aims to determine the effectiveness of the guided inquiry model with the MURDER strategy in improving students' scientific process skills. The method used in this study was quasi-experimental. The sample consisted of fifth-grade students from SDN 262 Panyileukan, Bandung City with 50 students in the experimental group and 50 students in the control group. The research results showed that the average post-test score obtained by the experimental group was 84.45, which was higher compared to the control group's score of 72.71. Additionally, the n-gain test results for the experimental group yielded a score of 0.58, while the control group had a score of 0.31. In conclusion, the guided inquiry model with the MURDER strategy was effective in improving students' science process skills.
Jaringan kolaborasi para penulis
40 penulis · 226 tautan kepenulisan bersama · menampilkan 40 yang paling banyak terhubung
Arahkan kursor atau ketuk sebuah nama untuk menyorot rekan penulisnya. Klik dua kali untuk membuka halaman penulis.
- State University of Semarang
- Afiliasi tidak diketahui
- Organisasi berbeda
- Organisasi sama
- Afiliasi tidak diketahui
- Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
| Rekan penulis | Organisasi | Artikel bersama |
|---|---|---|
| Endang Susilaningsih | State University of Semarang | 13 |
| Ellianawati Ellianawati | State University of Semarang | 12 |
| Nanik Wijayati | State University of Semarang | 8 |
| Ani Rusilowati | State University of Semarang | 8 |
| Tri Joko Raharjo | Afiliasi tidak diketahui | 7 |
| Ian Yulianti | Afiliasi tidak diketahui | 7 |
| Putut Marwoto | State University of Semarang | 6 |
| Agung Tri Prasetya | State University of Semarang | 6 |
| Sri Wardani | State University of Semarang | 6 |
| Kasmadi Imam Supardi | State University of Semarang | 5 |
| Sudarmin Sudarmin | Afiliasi tidak diketahui | 5 |
| Nuni Widiarti | State University of Semarang | 5 |
| Woro Sumarni | State University of Semarang | 4 |
| Kasmui Kasmui | State University of Semarang | 4 |
| Sarwi Sarwi | Afiliasi tidak diketahui | 4 |
| Listiyanto Listiyanto | Afiliasi tidak diketahui | 3 |
| Harianingsih Harianingsih | Afiliasi tidak diketahui | 3 |
| Pratiwi Dwijananti | Afiliasi tidak diketahui | 3 |
| Imam Sumpono | Afiliasi tidak diketahui | 3 |
| Eko Budi Susatyo | Afiliasi tidak diketahui | 3 |
| Murbangun Nuswowati | State University of Semarang | 3 |
| Sri Nurhayati | Afiliasi tidak diketahui | 3 |
| Sri Susilogati Sumarti | State University of Semarang | 3 |
| Sigit Saptono | State University of Semarang | 3 |
| Alvian Alvian | Afiliasi tidak diketahui | 3 |
| Susilo Susilo | Afiliasi tidak diketahui | 3 |
| Arif Widiyatmoko | State University of Semarang | 3 |
| Suharto Linuwih | Afiliasi tidak diketahui | 3 |
| Fitri Nurdiana | Afiliasi tidak diketahui | 2 |
| Diah Nur Fitriasari | Afiliasi tidak diketahui | 2 |
| Rahayu Pangestuti | Afiliasi tidak diketahui | 2 |
| Fianti Fianti | Afiliasi tidak diketahui | 2 |
| Wiwi Isnaeni | State University of Semarang | 2 |
| Sigit Priatmoko | State University of Semarang | 2 |
| Bhakti Kharismawan | Afiliasi tidak diketahui | 2 |
| Dyah Rini Indriyanti | State University of Semarang | 2 |
| Tri Suminar | Afiliasi tidak diketahui | 2 |
Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.