Main Article Content

Abstract

The problem in this study is that many students in the electrical power installation engineering (EPIE) class have not mastered the skills of electric motor control (EMC). This is because the teacher still uses traditional methods in the learning process. Namely, the teacher actively explains the material according to practical experience rather than referring to EMC learning objectives. This study aims to apply a variable speed drive (VSD) jobsheet based on project-based learning (PjBL) in the EMC learning process and measure the effectiveness of the jobsheet applied. The research method used was a pre-experiment with an intact group comparison research design. The research subjects were taken from 11th-grade students of vocational schools majoring in electrical power installation engineering and were assessed using a questionnaire instrument to evaluate students' EMC performance. Data analysis techniques used were independent t-test and effect size test. Based on the independent t-test analysis results, the t-value is larger than the t-table (t = 4.936 > 1.99962), and the significance value is 0.000, which shows a significant difference in skills between the experimental and control classes. Based on the effect size analysis, the value is 1.243, which means the jobsheet can improve students' EMC skills in the large category. Based on these two results, it is known that the PjBL-based VSD jobsheet is effective in the EMC learning process. Thus, it is expected that EPIE vocational high schools can use the PjBL-based VSD Jobsheet in the EMC learning process.

Keywords

Jobsheet Variable Speed Drive Project-Based Learning Vocational High School Electric Motor Control

Article Details

How to Cite
Setyawan, H., Sukardi, S., Risfendra, R., Putri, M., Oktavia, V., Ambiyar, A., & Wulansari, R. (2024). Impact of Variable Speed Drive Jobsheet Integrated with Project-Based Learning Model on Electric Motor Control Skills of Vocational Students. INVOTEK: Jurnal Inovasi Vokasional Dan Teknologi, 23(3), 175-186. https://doi.org/https://doi.org/10.24036/invotek.v23i3.1155

References

  1. G. Jia, M. Li, B. Shi, X. Yu, and X. Liu, “A variable frequency injection method for modular multilevel converters in variable speed drives,” Energy Reports, vol. 9, pp. 939–947, Sep. 2023, doi: 10.1016/j.egyr.2023.04.198.
  2. R. Wrobel, “A technology overview of thermal management of integrated motor drives – Electrical Machines,” Therm. Sci. Eng. Prog., vol. 29, no. January, p. 101222, Mar. 2022, doi: 10.1016/j.tsep.2022.101222.
  3. M. M. Lumertz, S. T. C. A. dos Santos, P. R. U. Guazzelli, C. M. R. de Oliveira, M. L. de Aguiar, and J. R. B. A. Monteiro, “Performance-based design of pseudo-sliding mode speed control for electrical motor drives,” Control Eng. Pract., vol. 132, no. January 2022, p. 105413, 2023, doi: 10.1016/j.conengprac.2022.105413.
  4. A. Aswardi, D. T. Putra Yanto, C. Dewi, H. Zaswita, M. Kabatiah, and R. Kurani, “Human Machine Interface-Based Control Training Kit as Innovative Learning Media to Enhance Students’ Automation Control Skills in the Industry 4.0 Era,” TEM J., vol. 12, no. 4, pp. 2157–2165, Nov. 2023, doi: 10.18421/TEM124-26.
  5. E. Tosello, N. Castaman, and E. Menegatti, “Using robotics to train students for Industry 4.0,” IFAC-PapersOnLine, vol. 52, no. 9, pp. 177–183, 2019, doi: 10.1016/j.ifacol.2019.08.185.
  6. M. Roll and D. Ifenthaler, “Learning Factories 4.0 in technical vocational schools: can they foster competence development?,” Empir. Res. Vocat. Educ. Train., vol. 13, no. 1, p. 20, Dec. 2021, doi: 10.1186/s40461-021-00124-0.
  7. Risfendra, Sukardi, and H. Setyawan, “Uji Kelayakan Penerapan Trainer Programmable Logic Controller Berbasis Outseal PLC Shield Pada Mata Pelajaran Instalasi Motor Listrik,” JTEV (Jurnal Tek. Elektro dan Vokasional), vol. 6, no. 2, p. 48, 2020, doi: 10.24036/jtev.v6i2.108508.
  8. J. B. Manalu, P. Sitohang, N. Heriwati, and H. Turnip, “Prosiding Pendidikan Dasar Pengembangan Perangkat Pembelajaran Kurikulum Merdeka Belajar,” Mahesa Cent. Res., vol. 1, no. 1, pp. 80–86, 2022, doi: 10.34007/ppd.v1i1.174.
  9. Sukardi, R. Mayefis, and Usmeldi, “Effectiveness of Mobile Learning Media on Computer Assembly at Vocational High School,” J. Phys. Conf. Ser., vol. 1594, no. 1, pp. 347–361, 2020, doi: 10.1088/1742-6596/1594/1/012012.
  10. K. Satriyanto, “Analysis of The Implementation of The Independent Curriculum at Vocational High Schools (SMK) Centers of Excellence,” J. Soc. Res., vol. 2, no. 10, pp. 3786–3792, Sep. 2023, doi: 10.55324/josr.v2i10.1468.
  11. R. Maor et al., “Relationships between metacognition, creativity, and critical thinking in self-reported teaching performances in project-based learning settings,” Think. Ski. Creat., vol. 50, no. June 2022, p. 101425, Dec. 2023, doi: 10.1016/j.tsc.2023.101425.
  12. R. Amanulloh, B. Santosa, and M. Sayuti, “Development of Integrated Welding Jobsheet Production Based Learning in Vocational High School,” J. Vocat. Educ. Stud., vol. 6, no. 1, pp. 167–180, Jun. 2023, doi: 10.12928/joves.v6i1.7654.
  13. M. Badruttamam and H. Hadromi, “Development Of Android-Based Interactive Jobsheet On Electrical Measuring Equipment Materials In Vocational School,” J. Educ. Res. Eval., vol. 10, no. 1, pp. 37–47, Apr. 2021, doi: 10.15294/jere.v10i1.50048.
  14. H. Pratama, M. N. A. Azman, N. A. Zakaria, and M. Khairudin, “Development of programmable logic controller teaching aids on electrical motor installation course among vocational school students in Aceh, Indonesia,” in Challenges of Science, Institute of Metallurgy and Ore Beneficiation, Satbayev University, Nov. 2021, pp. 117–127. doi: 10.31643/2021.19.
  15. B. Sababha, Y. Alqudah, A. Abualbasal, and E. AlQaralleh, “Project-Based Learning to Enhance Teaching Embedded Systems,” EURASIA J. Math. Sci. Technol. Educ., vol. 12, no. 9, pp. 2575–2585, Jun. 2016, doi: 10.12973/eurasia.2016.1267a.
  16. W. Wardaningsih, W. Wakhinuddin, and A. Ahyanuardi, “Effectiveness of Project-Based Learning to Increase Students Learning Outcomes and Students Learning Activity on Electric Motors Installation at Vocational High School Article Info,” J. Educ. Dev. JED, vol. 8, no. 1, pp. 1–6, 2020, doi: 10.15294/JED.V8I1.32393.
  17. F. T. Eldiva and N. Azizah, “Project Based Learning in Improving Critical Thinking Skill of Children with Special Needs,” vol. 296, no. Icsie 2018, pp. 348–355, 2019, doi: 10.2991/icsie-18.2019.64.
  18. U. Usmeldi and R. Amini, “Creative project-based learning model to increase creativity of vocational high school students,” Int. J. Eval. Res. Educ., vol. 11, no. 4, pp. 2155–2164, 2022, doi: 10.11591/ijere.v11i4.21214.
  19. M. O. Ajayi and O. T. Laseinde, “A review of supply chain 4IR management strategy for appraising the manufacturing industry’s potentials and shortfalls in the 21st century,” Procedia Comput. Sci., vol. 217, no. 2022, pp. 513–525, 2023, doi: 10.1016/j.procs.2022.12.247.
  20. M. Garduno-Aparicio, J. Rodriguez-Resendiz, G. Macias-Bobadilla, and S. Thenozhi, “A Multidisciplinary Industrial Robot Approach for Teaching Mechatronics-Related Courses,” IEEE Trans. Educ., vol. 61, no. 1, pp. 55–62, Feb. 2018, doi: 10.1109/TE.2017.2741446.
  21. M. Bruri Triyono, G. Nur Indriatno Putra Pratama, and T. Köhler, “The future of vocational competence: Perspective of vocational teachers, industries, and educational expert,” Int. J. Instr., vol. 16, no. 4, pp. 543–560, 2023, [Online]. Available: www.e-iji.net
  22. K. Nutonen, V. Kuts, and T. Otto, “Industrial Robot Training in the Simulation Using the Machine Learning Agent,” Procedia Comput. Sci., vol. 217, no. 2022, pp. 446–455, 2022, doi: 10.1016/j.procs.2022.12.240.
  23. D. T. P. Yanto, M. Kabatiah, H. Zaswita, N. Jalinus, and R. Refdinal, “Virtual Laboratory as A New Educational Trend Post Covid-19: An Effectiveness Study,” Mimb. Ilmu, vol. 27, no. 3, pp. 501–510, 2022, doi: 10.23887/mi.v27i3.53996.
  24. J.-C. Goulet-Pelletier and D. Cousineau, “A review of effect sizes and their confidence intervals, Part I: The Cohen’s d family,” Quant. Methods Psychol., vol. 16, no. 4, pp. 422–423, 2020, doi: 10.20982/tqmp.16.4.p422.
  25. P. Coufal, “Project-Based STEM Learning Using Educational Robotics as the Development of Student Problem-Solving Competence,” Mathematics, vol. 10, no. 23, 2022, doi: 10.3390/math10234618.
  26. R. Çakır, Ö. Korkmaz, Ö. İdil, and F. Uğur Erdoğmuş, “The effect of robotic coding education on preschoolers’ problem solving and creative thinking skills,” Think. Ski. Creat., vol. 40, no. October 2020, p. 100812, Jun. 2021, doi: 10.1016/j.tsc.2021.100812.
  27. S. Turan and F. Aydogdu, “Effect of coding and robotic education on pre-school children’s skills of scientific process,” Educ. Inf. Technol., vol. 25, no. 5, pp. 4353–4363, 2020, doi: 10.1007/s10639-020-10178-4.
  28. W.-Y. Lu and S.-C. Fan, “Developing a weather prediction project-based machine learning course in facilitating AI learning among high school students,” Comput. Educ. Artif. Intell., vol. 5, no. June, p. 100154, 2023, doi: 10.1016/j.caeai.2023.100154.
  29. M. R. Gonçalves et al., “Robotic4all project: Results of a hands-on robotic surgery training program,” Laparosc. Endosc. Robot. Surg., vol. 6, no. 1, pp. 1–8, Mar. 2023, doi: 10.1016/j.lers.2023.01.002.
  30. Tafakur, Sukaswanto, M. Solikin, and F. R. Wardani, “The Development of Training Kit For Basic Electronic Control on Automotive Field,” J. Phys. Conf. Ser., vol. 1700, no. 1, p. 012069, Dec. 2020, doi: 10.1088/1742-6596/1700/1/012069.
  31. E. Susatya, A. K. Triatmaja, E. Suratno, and F. Faisyal Fachri, “Impact of the Center of Excellence Vocational High School Program on the Interest of New Learners,” J. Vocat. Educ. Stud., vol. 6, no. 1, pp. 62–75, Jun. 2023, doi: 10.12928/joves.v6i1.7256.