Journal
Learning Achievements in Maintenance of ABS (Antilock Braking System) Brake System Through PBL
Journal of Vocational and Career Education · Vol. 9 No. 1 (2024) · pp. 26–32
- ISSN
- 2503-2305, 2339-0344
- Published
- 2024-07-31
- Publisher
- Universitas Negeri Semarang
- Language
- eng
Abstract
The conventional approach of current learning media and the limited utilization of Android technology among students as a learning medium highlight the need for improvements and updates in how information is delivered from teachers to students. Transitioning from traditional methods to more modern approaches, particularly by leveraging existing technology, is essential. This study aims to develop Android-based interactive multimedia using the Problem-Based Learning (PBL) model to enhance learning achievements in the maintenance of ABS (Antilock Braking System) brake systems. It evaluates the feasibility and the improvement in learning outcomes among students in the Light Vehicle Engineering Department at SMK Muhammadiyah 2 Semarang in cognitive, affective, and psychomotor domains. The research employs the ADDIE development model, which includes Analysis, Design, Development, Implementation, and Evaluation. The experimental design used is a Pretest-Posttest Control Group Design. The subjects consist of 60 eleventh-grade students from the Light Vehicle Engineering Department, divided into control and experimental groups. The results of the feasibility assessment by media and material experts are 83.20% (“Feasible”) and 88.78% (“Highly Feasible”), respectively. Improvements in learning outcomes are reflected in the N-Gain test results, with the experimental group achieving an average score of 0.4619, categorized as “Moderate,” while the control group achieved an average score of 0.2588, categorized as “Low.” Based on the N-Gain calculations, it can be concluded that the use of Android-based multimedia through the Problem-Based Learning model in ABS brake system maintenance materials is “Effective”.
Keywords
Collaboration network of the authors
40 authors · 110 co-authorship links · showing the 40 most connected
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Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Eko Supraptono | Affiliation unknown | 8 |
| Samsudin Anis | Affiliation unknown | 7 |
| Sri Endah Wahyuningsih | Affiliation unknown | 6 |
| Ade Novi Nurul Ihsani | Affiliation unknown | 5 |
| Nur Qudus | Affiliation unknown | 4 |
| Adhi Kusumastuti | Affiliation unknown | 4 |
| Rini Kusumawardani | Affiliation unknown | 3 |
| Muhammad Khumaedi | Affiliation unknown | 3 |
| Basyirun Basyirun | Affiliation unknown | 3 |
| Noor Hudallah | Affiliation unknown | 2 |
| Danang Dwi Saputro | Affiliation unknown | 2 |
| Muhammad Nur Fuad | Affiliation unknown | 2 |
| Ely Rudyatmi | Affiliation unknown | 1 |
| Shohihatur Rohman | Affiliation unknown | 1 |
| Denny Firman Setiyanto | Affiliation unknown | 1 |
| Pramaditya Putra Komala Dewa | Affiliation unknown | 1 |
| Pedro Andhika | Affiliation unknown | 1 |
| Hadromi Hadromi | Affiliation unknown | 1 |
| Muh. Elvio Putra Kresnadi | Affiliation unknown | 1 |
| Retno Marlangen | Affiliation unknown | 1 |
| Dewi Masruroh | Affiliation unknown | 1 |
| Bambang Sugeng Suryatna | Affiliation unknown | 1 |
| Tukiman Tukiman | Affiliation unknown | 1 |
| Galang Wahid Kurniawan | Affiliation unknown | 1 |
| Muhammmad Khumaedi | Affiliation unknown | 1 |
| Mohamad Irfan | Affiliation unknown | 1 |
| Sonhaji Sonhaji | Affiliation unknown | 1 |
| Ardhana Luthfi Hidayattullah | Affiliation unknown | 1 |
| Muhammad Ikhwan Rifqi | Affiliation unknown | 1 |
| Valentinus Arsfendi Fernando | Affiliation unknown | 1 |
| Ii Eldiana | Affiliation unknown | 1 |
| Doni Yudi Irawan | Affiliation unknown | 1 |
| Danang Wahyu Pratama | Affiliation unknown | 1 |
| Wahyudi Wahyudi | Affiliation unknown | 1 |
| Muhamad Sa’dullah | Affiliation unknown | 1 |
| Oddie Febriyono | Affiliation unknown | 1 |
| Tahroni Tahroni | 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.