Development of an adobe animate-based virtual laboratory for electronic fuel injection practicum

Journal of Educational and Learning Studies June 30, 2026 Volume 9, Number 1 4 authors

Abstract

This study developed an Adobe Animate–based virtual laboratory for motorcycle electronic fuel injection practicum in vocational high schools. The study applied the Four-D development model involving define, design, develop, and limited disseminate stages. Data were collected through expert validation sheets, practicality questionnaires, pre-test and post-test, and a motivation questionnaire. Data were analyzed using descriptive percentages, N-gain, and paired-samples t-test. The product was highly valid (89.00%) and highly practical (88.06%). Learning outcomes increased from 61.89 to 89.29, with high N-gain (0.72), improved mastery from 21.4% to 92.9%, and significant test results (t = 8.840; p < .001). Student motivation reached a high category (79.11%). The virtual laboratory is feasible and effective for supporting EFI practicum.

Authors

  1. Ghaus Dhiyaurrahman Baunan

    Universitas Negeri Padang

  2. Zelhendri Zen

    Universitas Negeri Padang

  3. Darmansyah Darmansyah

    Universitas Negeri Padang

  4. Rayendra Rayendra

    Universitas Negeri Padang

Keywords

References

  1. Aini, S., & Mufit, F. (2022). Using Adobe Animate CC Software in Designing Interactive Multimedia Based on Cognitive Conflict in Straight Motion. Jurnal Penelitian Pendidikan IPA, 8(5), 2350–2361. https://doi.org/10.29303/jppipa.v8i5.2048
  2. Akmal, N., Putri, Y. E., & Anugerah, A. I. (2022). Developing adobe animate-based interactive learning media of table manner for university students. International Journal for Educational and Vocational Studies, 4(3). https://doi.org/10.29103/ijevs.v4i3.9336
  3. Badarudin, R., Hariyanto, D., Supriyadi, E., Djatmiko, I. W., Triyono, M. B., Kassymova, G. K., & Urazaliyeva, U. (2023). Virtual Laboratory Application of Direct Current Electric Motor: An Expert-Based Evaluation. International Journal of Online and Biomedical Engineering (iJOE), 19(04), 4–21. https://doi.org/10.3991/ijoe.v19i04.36749
  4. Bulkani, B., Fatchurahman, M., Adella, H., & Setiawan, M. A. (2022). Development of Animation Learning Media Based on Local Wisdom to Improve Student Learning Outcomes in Elementary Schools. International Journal of Instruction, 15(1), 55–72. https://doi.org/10.29333/iji.2022.1514a
  5. Cholik, M., Umaroh, S. T., Rijanto, T., & Soeryanto, S. (2023). Youtube as an alternative to learning media: A case study. Jurnal Pendidikan Teknologi Dan Kejuruan, 29(1), 86–97. https://doi.org/10.21831/jptk.v29i1.49115
  6. Coletta, V. P., & Steinert, J. J. (2020). Why normalized gain should continue to be used in analyzing preinstruction and postinstruction scores on concept inventories. Physical Review Physics Education Research, 16(1), 010108. https://doi.org/10.1103/PhysRevPhysEducRes.16.010108
  7. Dede, Abdullah, A. G., Mulyanti, B., Rohendi, D., & Sulaeman. (2020). TVET Learning Innovation on Automotive Virtual Laboratory Based on Cloud Openstack. Journal of Technical Education and Training, 12(3), 51–60. https://publisher.uthm.edu.my/ojs/index.php/JTET/article/view/5541
  8. Evans, D. K., & Yuan, F. (2022). How Big Are Effect Sizes in International Education Studies? Educational Evaluation and Policy Analysis, 44(3), 532–540. https://doi.org/10.3102/01623737221079646
  9. Fatah, A. (2022). Kesiapan SMK Negeri dalam Implementasi Kurikulum Merdeka. Jurnal Pendidikan Vokasi Otomotif, 5(1), 95–109. https://doi.org/10.21831/jpvo.v5i1.55862
  10. Goksu, I., & Islam Bolat, Y. (2021). Does the ARCS motivational model affect students’ achievement and motivation? A meta-analysis. Review of Education, 9(1), 27–52. https://doi.org/10.1002/rev3.3231
  11. Hake, R. R. (1998). Interactive-engagement versus traditional methods: A six-thousand-student survey of mechanics test data for introductory physics courses. American Journal of Physics, 66(1), 64–74. https://doi.org/10.1119/1.18809
  12. Hung, C.-Y., Lin, Y.-T., Yu, S.-J., & Sun, J. C.-Y. (2023). Effects of AR- and VR-based wearables in teaching English: The application of an ARCS model-based learning design to improve elementary school students’ learning motivation and performance. Journal of Computer Assisted Learning, 39(5), 1510–1527. https://doi.org/10.1111/jcal.12814
  13. Jatmoko, D., Susanto, A., Purwoko, R. Y., Arifin, Z., & Purnawan, P. (2021). The Implementation of ARCS Learning Model to Improve Students Learning Activities and Outcomes in Vocational High School. Tarbawi : Jurnal Ilmu Pendidikan, 17(2), 137–144. https://doi.org/10.32939/tarbawi.v17i2.1008
  14. Keller, J. M. (2010). Motivational Design for Learning and Performance: The ARCS Model Approach. Springer US. https://doi.org/10.1007/978-1-4419-1250-3
  15. Li, J., & Liang, W. (2024). Effectiveness of virtual laboratory in engineering education: A meta-analysis. PLOS ONE, 19(12), e0316269. https://doi.org/10.1371/journal.pone.0316269
  16. Long, Y., Zhang, X., & Zeng, X. (2025). Application and effect analysis of virtual reality technology in vocational education practical training. Education and Information Technologies, 30(7), 9755–9786. https://doi.org/10.1007/s10639-024-13197-7
  17. Makransky, G., Andreasen, N. K., Baceviciute, S., & Mayer, R. E. (2021). Immersive virtual reality increases liking but not learning with a science simulation and generative learning strategies promote learning in immersive virtual reality. Journal of Educational Psychology, 113(4), 719–735. https://doi.org/10.1037/edu0000473
  18. Mayer, R. E. (2024). The Past, Present, and Future of the Cognitive Theory of Multimedia Learning. Educational Psychology Review, 36(1), 8. https://doi.org/10.1007/s10648-023-09842-1
  19. Nieveen, N. (1999). Prototyping to Reach Product Quality. In J. van den Akker, R. M. Branch, K. Gustafson, N. Nieveen, & T. Plomp (Eds), Design Approaches and Tools in Education and Training (pp. 125–135). Springer Netherlands. https://doi.org/10.1007/978-94-011-4255-7_10
  20. Parong, J., & Mayer, R. E. (2021). Cognitive and affective processes for learning science in immersive virtual reality. Journal of Computer Assisted Learning, 37(1), 226–241. https://doi.org/10.1111/jcal.12482
  21. Prasetya, F., Syahri, B., Fajri, B. R., Wulansari, R. E., & Fortuna, A. (2023). Utilizing Virtual Laboratory to Improve CNC Distance Learning of Vocational Students at Higher Education. TEM Journal, 1506–1518. https://doi.org/10.18421/TEM123-31
  22. Pratama, I. A., Subiki, S., & Harijanto, A. (2023). Pengembangan Media Pembelajaran Interaktif Fisika SMA Berbasis Adobe Animate CC Pada Materi Hukum Gravitasi Newton. Jurnal Pendidikan Fisika, 11(1), 17–27. https://doi.org/10.24127/jpf.v11i1.5818
  23. Putra, A. E. T., & Solikin, M. (2022). Implementasi Program Tsm Honda Pada Kompetensi Keahlian Teknik Bisnis Sepeda Motor SMK PGRI 1 Nganjuk. Jurnal Pendidikan Vokasi Otomotif, 5(1), 43–54. https://doi.org/10.21831/jpvo.v5i1.51849
  24. Qawaqneh, H., Ahmad, F. B., & Alawamreh, A. R. (2023). The Impact of Artificial Intelligence-Based Virtual Laboratories on Developing Students’ Motivation Towards Learning Mathematics. International Journal of Emerging Technologies in Learning (iJET), 18(14), 105–121. https://doi.org/10.3991/ijet.v18i14.39873
  25. Rafiq, A. A., Triyono, M. B., & Djatmiko, I. W. (2022). Enhancing student engagement in vocational education by using virtual reality. Waikato Journal of Education, 27(3), 175–188. https://doi.org/10.15663/wje.v27i3.964
  26. Raman, R., Achuthan, K., Nair, V. K., & Nedungadi, P. (2022). Virtual Laboratories- A historical review and bibliometric analysis of the past three decades. Education and Information Technologies, 27(8), 11055–11087. https://doi.org/10.1007/s10639-022-11058-9
  27. Reeves, S. M., & Crippen, K. J. (2021). Virtual Laboratories in Undergraduate Science and Engineering Courses: A Systematic Review, 2009–2019. Journal of Science Education and Technology, 30(1), 16–30. https://doi.org/10.1007/s10956-020-09866-0
  28. Rosemarry, L. A., & Isdaryanti, B. (2024). Adobe Animate-based Learning Media for IPAS Class V Elementary School Tlogosari Kulon 05 Effective and Improve Learning Outcomes. Jurnal Penelitian Pendidikan IPA, 10(8), 5953–5960. https://doi.org/10.29303/jppipa.v10i8.8268
  29. Sardiman, A. M. (2011). Interaksi dan motivasi belajar mengajar.
  30. Sriyanto, J., Budiman, A., Suyanto, W., Sulistyo, B., Priti, P., Pangestu, S., Utama, O. S. T., Pawoko, L. T., & Pratama, F. D. (2023). Problematika Guru Teknik Kendaraan Ringan Otomotif (TKRO) di SMK Pelaksana Implementasi Kurikulum Merdeka Kategori Mandiri Berubah. Jurnal Pendidikan Vokasi Otomotif, 6(1), 99–108. https://doi.org/10.21831/jpvo.v6i1.67853
  31. Sukardjo, M., Khasanah, U., Rahmat, S. T., Khaerudin, & Setiawan, B. (2023). Virtual Laboratory Design for Learning Electro-Pneumatic Practices in Vocational High Schools. European Journal of Educational Research, 12(2), 719–737. https://doi.org/10.12973/eu-jer.12.2.719
  32. Suyitno, S., Purwoko, R. Y., Widiyono, Y., Jatmoko, D., Nurtanto, M., & Hassan, Z. (2020). Development of Learning Media for Automotive Charging System Based on Macromedia Flash Vocational School. Universal Journal of Educational Research, 8(11C), 64–71. https://doi.org/10.13189/ujer.2020.082308
  33. Thiagarajan, S. (1974). Instructional development for training teachers of exceptional children: A sourcebook. http://files.eric.ed.gov/fulltext/ED090725.pdf
  34. Uno, H. B. (2023). Teori motivasi dan pengukurannya: Analisis di bidang pendidikan. Bumi Aksara. https://books.google.co.id/books?hl=id&lr=&id=lOqoEAAAQBAJ&oi=fnd&pg=PP1&dq=Uno,+H.+B.+(2017).+Teori+motivasi+dan+pengukurannya:+Analisis+di+bidang+pendidikan.+Bumi+Aksara.&ots=JQmYhcjcDP&sig=8pTvifOLRLFlw98aBePPQdUR6iI&redir_esc=y#v=onepage&q&f=false
  35. Yanto, D. T. P., Kabatiah, M., Zaswita, H., Jalinus, N., & Refdinal, R. (2022). Virtual Laboratory as A New Educational Trend Post Covid-19: An Effectiveness Study. Mimbar Ilmu, 27(3), 501–510. https://doi.org/10.23887/mi.v27i3.53996
  36. Yanto, D. T. P., Sukardi, Kabatiah, M., Zaswita, H., & Candra, O. (2023). Analysis of Factors Affecting Vocational Students’ Intentions to Use a Virtual Laboratory Based on the Technology Acceptance Model. International Journal of Interactive Mobile Technologies (iJIM), 17(12), 94–111. https://doi.org/10.3991/ijim.v17i12.38627