Journal
Environmental Pollution Module Based on SETS with Islamic Value to Improve Student' Science Literacy
Journal of Innovative Science Education · Vol. 11 No. 1 (2022) · pp. 62–71
- ISSN
- 2502-4523, 2252-6412
- Published
- 2022-04-06
- Publisher
- Universitas Negeri Semarang
- Language
- eng
Abstract
This study aims to test the feasibility and effectiveness of the SETS-based environmental pollution module with Islamic values ​​in improving students' scientific literacy. This type of research is research and development (R&D) that uses the ADDIE model (Analysis, Design, Development, Implementation, Evaluation). The research subjects to test the developed module were 39 students and three expert lecturers consisting of science material experts, Islamic religious material experts, and media experts. The research instruments were expert validation questionnaires, legibility questionnaires, gaps test questions, and scientific literacy test questions. The expert validation data analysis showed the average score on the feasibility aspects, which were considered very valid. The readability questionnaire analysis describes the module as having excellent readability. This result is in line with the results of the gap test analysis that the module is easy for students to understand. The N-gain values ​​for the three aspects of scientific literacy are 0.46, 0.45, and 0.38 in the medium category, while the other element is 0.26 in the low class. Based on the analysis results, the environmental pollution module SETS-based with Islamic values ​​was very suitable for learning. It was effective in improving three aspects of scientific literacy.
Collaboration network of the authors
40 authors · 201 co-authorship links · 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
- 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 |
|---|---|---|
| Priyantini Widiyaningrum | Affiliation unknown | 13 |
| Arif Widiyatmoko | State University of Semarang | 12 |
| Ning Setiati | Affiliation unknown | 9 |
| Novi Ratna Dewi | State University of Semarang | 6 |
| Muhamad Taufiq | State University of Semarang | 5 |
| Maria Ayu Puspita | Affiliation unknown | 5 |
| Sudarmin Sudarmin | Affiliation unknown | 5 |
| Isa Akhlis | State University of Semarang | 4 |
| Miranita Khusniati | State University of Semarang | 4 |
| Bambang Priyono | State University of Semarang | 4 |
| Sri Ngabekti | State University of Semarang | 3 |
| Pramesti Dewi | Affiliation unknown | 3 |
| Stephani Diah Pamelasari | State University of Semarang | 3 |
| Bayu Tri Prasojo | Affiliation unknown | 3 |
| Ari Yuniastuti | State University of Semarang | 3 |
| Aditya Marianti | Affiliation unknown | 3 |
| Ellianawati Ellianawati | State University of Semarang | 3 |
| Melissa Salma Darmawan | State University of Semarang | 2 |
| Nunung Eni Elawati | Affiliation unknown | 2 |
| Aura Tirsa Melinda | Affiliation unknown | 2 |
| Orchida Puspa Jelita | Affiliation unknown | 2 |
| Delia Alifia Farreza | Affiliation unknown | 2 |
| Niken Subekti | State University of Semarang | 2 |
| Edy Cahyono | State University of Semarang | 2 |
| St Aflahah | Affiliation unknown | 2 |
| Erna Noor Savitri | State University of Semarang | 2 |
| Andin Vita Amalia | Affiliation unknown | 2 |
| Sri Mulyani Endang Susilowati | Affiliation unknown | 2 |
| Saiful Ridlo | State University of Semarang | 2 |
| Sri Sukaesih | State University of Semarang | 2 |
| Sri Nurhayati | State University of Semarang | 2 |
| Indah Urwatin Wusqo | State University of Semarang | 2 |
| Wiyanto Wiyanto | State University of Semarang | 2 |
| Enni Suwarsi Rahayu | State University of Semarang | 2 |
| Bambang Subali | Affiliation unknown | 2 |
| Lisdiana Lisdiana | Affiliation unknown | 2 |
| R. Rahmawati | State University of Semarang | 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.