Journal SINTA 1
A Green Electrochemistry Experimental Kit: Student’s Achievements on Lectrofun 2.0
Jurnal Pendidikan IPA Indonesia · Vol. 10 No. 1 (2021) · pp. 24–34
- ISSN
- 2089-4392, 2339-1286
- Published
- 2021-03-31
- Publisher
- Program Studi Pendidikan IPA Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA)
- Language
- eng
Abstract
The study aimed at developing and evaluating a simple green electrochemistry experimental kit named Lectrofun 2.0. Lectrofun 2.0 is an educational kit equipped with a module built with the criteria of user-friendly, costeffective, and laboratory free. The basic concept of electrochemistry was introduced through a guided learning approach via the module. The objectives of this research were to (1) develop Lectrofun 2.0 module using green chemicals, recyclable and easily accessible materials and (2) evaluate the module effectiveness in terms of student achievement/understanding of the Electrochemistry topic. This is a Design and Development Research (DDR) using the ADDIE model as an instructional design model. The development phase involves the first objective of the study, while the evaluation phase involves the second objective. Total of 46 respondents of pre-post tests were involved in evaluating effectiveness of Lectrofun 2.0 in terms of student achievement/understanding of the topic. The findings showed that 73.9% of students from the treatment group showed 4-grade increment (from grade E to grade A). This study showed that Lectrofun 2.0 has a significant impact on enhancing learner comprehension of Electrochemistry topic, enjoyment in learning, and learning to care for the environment.
Keywords
Collaboration network of the authors
40 authors · 129 co-authorship links · 12 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
- Sultan Idris Education University
- State University of Makassar
- University of Brawijaya
- 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 |
|---|---|---|
| Endang Susilaningsih | State University of Semarang | 4 |
| Nanik Wijayati | State University of Semarang | 4 |
| Sri Wardani | State University of Semarang | 3 |
| Sri Haryani | Affiliation unknown | 3 |
| Sri Susilogati Sumarti | State University of Semarang | 3 |
| Kasmadi Imam Supardi | State University of Semarang | 2 |
| Harjono Harjono | Affiliation unknown | 2 |
| Edy Cahyono | State University of Semarang | 2 |
| Balamuralithara Balakrishnan | Sultan Idris Education University | 1 |
| Mohamed Noer Azhari Azman | Sultan Idris Education University | 1 |
| Mohd Ikhwan Hadi Yaacob | Sultan Idris Education University | 1 |
| Haniza Hanim Mohd Zain | Sultan Idris Education University | 1 |
| Ramlawati Ramlawati | State University of Makassar | 1 |
| Sri Kadarwati | State University of Semarang | 1 |
| Muhamad Taufiq | State University of Semarang | 1 |
| Abdul Jabbar | University of Brawijaya | 1 |
| Trida Ridho Fariz | State University of Semarang | 1 |
| Sergi Fernandez Alejandro | Affiliation unknown | 1 |
| Tutus Martiana | Affiliation unknown | 1 |
| Subiyanto Hadisaputro | Affiliation unknown | 1 |
| Resa Ani Lestari | Affiliation unknown | 1 |
| Gustiyani Eka Sulistyowati | Affiliation unknown | 1 |
| Sri Nurhayati | State University of Semarang | 1 |
| Ika Nur Amalia | Affiliation unknown | 1 |
| Nuni Widiarti | State University of Semarang | 1 |
| Azki Anwarudin | Affiliation unknown | 1 |
| Umar Faruq Muttaqiin | Affiliation unknown | 1 |
| Fatin Atikah Nata Sya'idah | Affiliation unknown | 1 |
| Erlinda Eka Kurniawati | Affiliation unknown | 1 |
| Chinta Celi Ayu Cendana | Affiliation unknown | 1 |
| Adhina Choiri Putri | Affiliation unknown | 1 |
| Lutfi Afifaturrochmah | 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.