Journal
Development of a Diagnostic Test for Student Misconception Detection of Coordination System Material Using Four-Tier Multiple Choice
Journal of Innovative Science Education · Vol. 10 No. 3 (2021) · pp. 251–258
- ISSN
- 2502-4523, 2252-6412
- Published
- 2021-12-06
- Publisher
- Universitas Negeri Semarang
- Language
- eng
Abstract
This study is the development of diagnostic test instrument four tier multiple choice to detect student misconceptions on the system material of human coordination. The diagnostic test is carried out on students who have received the coordination system material. The purpose of this study is to analyze diagnostic test validity and to analyze the profile of students' misconceptions on the material of the coordination system using four-tier multiple choices. This research is a Research and Development (R&D) with the 4D method, namely definite, design develop and Disseminate. The subjects of this research are the students of XII IPA 1, 2, and 3 at SMAN 1 Terusan Nunyai and the students of XII IPA 3, 4, and 5 at SMAN 1 Terbanggi Besar. The result of this research shows a valid question instrument with a CVR value is 0.80 and CVI value is 0.78 with 8 examiners and 35 items of questions. The profile of misconceptions at SMAN 1 Terusan Nunyai in the excellent class is 10.69%, medium class is 30.57% and low class is 40.86% who experienced misconceptions, while at SMAN 1 Terbanggi Besar, the category of excellent class is 26.94%, medium class is 32.12% and low class is 27.48%. The conclusion of this research is there are many students who experience misconceptions on the coordination system material in the nervous system and hormones.
Collaboration network of the authors
40 authors · 161 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 | 11 |
| Ning Setiati | Affiliation unknown | 7 |
| Arif Widiyatmoko | State University of Semarang | 4 |
| Parmin Parmin | State University of Semarang | 4 |
| Melissa Salma Darmawan | State University of Semarang | 2 |
| Maria Ayu Puspita | Affiliation unknown | 2 |
| Aura Tirsa Melinda | Affiliation unknown | 2 |
| Bayu Tri Prasojo | Affiliation unknown | 2 |
| Bambang Priyono | State University of Semarang | 2 |
| Edy Cahyono | State University of Semarang | 2 |
| Sri Mulyani Endang Susilowati | Affiliation unknown | 2 |
| Sri Ngabekti | State University of Semarang | 2 |
| Ari Yuniastuti | State University of Semarang | 2 |
| Saiful Ridlo | State University of Semarang | 2 |
| Aditya Marianti | Affiliation unknown | 2 |
| Sunyoto Eko Nugroho | State University of Semarang | 2 |
| Sri Sukaesih | State University of Semarang | 2 |
| Fidia Fibriana | State University of Semarang | 1 |
| Bambang Subali | Affiliation unknown | 1 |
| Nunung Eni Elawati | Affiliation unknown | 1 |
| Pramesti Dewi | Affiliation unknown | 1 |
| Ernallah Yati | Affiliation unknown | 1 |
| Rahimma Artantia Ananda | Affiliation unknown | 1 |
| Awalya Awalya | Affiliation unknown | 1 |
| Firdian Setiya Arinata | Affiliation unknown | 1 |
| Ujang Khiyarusoleh | Affiliation unknown | 1 |
| Mufidah Istiqomah | Affiliation unknown | 1 |
| Yudhi Purwa Nugraha | Affiliation unknown | 1 |
| Suharto Suharto | Affiliation unknown | 1 |
| Ida Zulaeha | Affiliation unknown | 1 |
| Hadromi Hadromi | Affiliation unknown | 1 |
| Farid Ahmadi | Affiliation unknown | 1 |
| Arief Widiyatmoko | Affiliation unknown | 1 |
| Agung Laksono | Affiliation unknown | 1 |
| Niken Subekti | State University of Semarang | 1 |
| Muhammad Abdullah | State University of Semarang | 1 |
| Aisyaah Muthiati | 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.