Implementation of electro-pneumatic practices learning model based on troubleshooting to improve students' creativity

Septian Eko Cahyanto; Sudji Munadi

doi:10.21831/jpv.v11i3.39367

Implementation of electro-pneumatic practices learning model based on troubleshooting to improve students' creativity

Septian Eko Cahyanto, Universitas Negeri Yogyakarta, Indonesia
Sudji Munadi, (Scopus ID: 57197837741) Universitas Negeri Yogyakarta, Indonesia

10.21831/jpv.v11i3.39367

Abstract

This study aimed to develop students' creativity through troubleshooting learning models in practical electro-pneumatic. This study was conducted during the Covid 19 pandemic where learning was carried out online. This troubleshooting practice learning is applied to simulation applications so that it can be a solution in implementing learning that cannot be carried out directly. This study used a quasi-experimental researched method with a controlled group pretest-posttest design pattern. The sample consisted of 60 students majoring in mechanical engineering, State University of Semarang was divided into two classes. The experimental class applies the troubleshooting-based practical learned model, while the controlled class implements practice learned without using the troubleshooting learned model. Based on the research result, the pretest mean value in the experimental group was 76.26 with a standard deviation of 11.97, while the pretest mean value in the control group was 74.53 with a standard deviation of 10.31. Meanwhile, the posttest mean score in the experimental group was 77.5 with a standard deviation of 7.62, while the posttest mean score in the control group was 64 with a standard deviation of 8.84. The average post-test score in the experimental group is higher than the control group so it can be concluded that the learning outcomes of the experimental class using a troubleshooting-based practical learning model are higher than the control class where troubleshooting learning models are not implemented in electro-pneumatic practice

Keywords

Creativity; electropneumatic; troubleshooting

Full Text:

PDF

References

Ahmad, M. F., Hamzah, N., Hassan, W. A. S. W., & Mansor, A. H. (2020). “Iedutech” mobile application development for information technology subjects in education among TVET students. International Journal of Advanced Trends in Computer Science and Engineering, 9(3), 2955–2960. https://doi.org/10.30534/ijatcse/2020/71932020

Aldous, C. R. (2012). Creativity, problem solving, and feeling. In N. M. Seel (Ed.), Encyclopedia of the Sciences of Learning (pp. 843–846). Springer. https://doi.org/10.1007/978-1-4419-1428-6_741

Attariyan, M., & Flinn, J. (2010). Automating configuration troubleshooting with dynamic information flow analysis. 9th USENIX Symposium on Operating Systems Design and Implementation (OSDI 10), 237–250. https://dl.acm.org/doi/10.5555/1924943.1924960

Barala, P., Tiwari, G., & Kumar, D. (2014). Automation of process station using electro-pneumatics. International Journal of Innovative Science Engineering and Technology (IJISET), 1(9), 155–158. https://www.ijiset.com/v1s9/IJISET_V1_I9_25.pdf

Damayanti, S. A., Santyasa, I. W., & Sudiatmika, A. A. I. A. R. (2020). Pengaruh model problem based-learning dengan flipped classroom terhadap kemampuan berpikir kreatif. Jurnal Kependidikan, 4(1), 83–98. https://pdfs.semanticscholar.org/4ba5/eee24e145929fffc5cdc1d45eeafe98e80c0.pdf

Djojonegoro, W. (1998). Pengembangan sumberdaya manusia melalui Sekolah Menengah Kejuruan (SMK). PT Jayakarta Agung Offset.

Iskandar, S. (2015). The development of problem-based learning model in troubleshooting to enhance students’ critical thinking skills at automotive program of senior vocational school. Edutech: Jurnal Teknologi Pendidikan, 14(2), 197–217. https://doi.org/10.17509/edutech.v14i2.1378

Jonassen, D. H. (2010). Research issues in problem solving. The 11th International Conference on Education Research, 1–15. https://aect.org/docs/JonassenICER.pdf

Kuntarto, E. (2017). Keefektifan model pembelajaran daring dalam perkuliahan Bahasa Indonesia di perguruan tinggi. Indonesian Language Education and Literature, 3(1), 99–110. https://doi.org/10.24235/ileal.v3i1.1820

Mahmood, K., Shevtshenko, E., Karaulova, T., Branten, E., & Maleki, M. (2016). Troubleshooting process analysis and development of application for decision making enhancement. In B. Katalinic (Ed.), 26th DAAAM International Symposium on Intelligent Manufacturing and Automation (pp. 663–671). DAAAM International. https://doi.org/10.2507/26th.daaam.proceedings.090

Mulyanti, B., Purnama, W., & Pawinanto, R. E. (2020). Distance learning in vocational high schools during the Covid-19 Pandemic in West Java pProvince, Indonesia. Indonesian Journal Of Science And Technology, 5(2), 271–282. https://pesquisa.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/pt/covidwho-1235139

Munadi, Y. (2012). Media pembelajaran sebuah pendekatan baru. Gaung Persada Press.

Munandar, S. C. U. (2009). Pengembangan kreativitas anak berbakat. Rineka Cipta.

Murniati, A. R., & Usman, N. (2009). Implementasi manajemen stratejik dalam pemberdayaan sekolah menengah kejuruan (A. Rasyidin (ed.)). Perdana Publishing.

Pereyras, J. G. (2020). Acceptability of the basic electro-pneumatic control trainer. International Journal of Emerging Trends in Engineering Research, 8(7), 3157–3159. https://doi.org/10.30534/ijeter/2020/46872020

Pusparisa, Y. (2019, May 17). Angka pengangguran lulusan universitas meningkat. Katadata.Co.Id. https://katadata.co.id/ariayudhistira/infografik/5e9a51911b282/angka-pengangguran-lulusan-perguruan-tinggi-meningkat

Ramdani, S. D., Pangestu, A., & Abizar, H. (2019). The dual-design-based pneumatic simulator as supporting media for electro-pneumatic practicum in vocational higher education. Jurnal Pendidikan Vokasi, 9(3), 307–317. https://doi.org/10.21831/jpv.v9i3.27345

Reynawati, A., & Purnomo, T. (2018). Penerapan model problem based learning pada materi pencemaran lingkungan untuk melatihkan keterampilan berpikir kreatif siswa. PENSA: E-JURNAL PENDIDIKAN SAINS, 6(2), 325–329. https://ejournal.unesa.ac.id/index.php/pensa/article/view/24268

Rizal, M., Ambarita, A., & Darsono, D. (2018). Development of student worksheet problem based learning model to increase higher order thinking skills. IOSR Journal of Research & Method in Education (IOSR-JRME), 8(2), 59–65. https://doi.org/10.9790/7388-0802045965

Rusman, R. (2014). Model-model pembelajaran: Mengembangkan profesionalisme guru. RajaGrafindo Persada.

Sirait, A. R., Sinaga, B., & Mulyono, M. (2018). Analysis difficulty of mathematical creative thinking ability reviewed from learning styles through problem based learning. Advances in Social Sciences Research Journal, 5(10), 395–404. https://doi.org/10.14738/assrj.510.5378

Slameto, S. (2015). Belajar dan faktor-faktor yang mempengaruhinya. Rineka Cipta.

Sumbodo, W., Pujiono, S., Pambudi, A., Komariyanto, K., Anis, S., & Widayat, W. (2008). Teknik produksi mesin industri untuk SMA Jilid 1. Departemen Pendidikan Nasional Republik Indonesia.

Syauqi, K., Munadi, S., & Triyono, M. B. (2020). Students’ perceptions toward vocational education on online learning during the COVID-19 Pandemic. International Journal of Evaluation and Research in Education, 9(4), 881–886. https://doi.org/10.11591/ijere.v9i4.20766

Tadesse, S., & Muluye, W. (2020). The impact of COVID-19 Pandemic on education system in developing countries: A review. Open Journal of Social Sciences, 8(10), 159–170. https://doi.org/10.4236/jss.2020.810011

Triyono, M. B., Senam, S., Jumadi, J., & Wilujeng, I. (2017). The effect of creative problem solving-based learning towards students’ creativities. Jurnal Kependidikan, 1(2), 214–226. https://doi.org/10.21831/jk.v1i2.9429

Wang, C., Fang, T., & Gu, Y. (2020). Learning performance and behavioral patterns of online collaborative learning: Impact of cognitive load and affordances of different multimedia. Computers & Education, 143, 103683. https://doi.org/10.1016/j.compedu.2019.103683

Wang, H. J., Platt, J., Chen, Y., Zhang, R., & Wang, Y.-M. (2004). PeerPressure for automatic troubleshooting. ACM SIGMETRICS Performance Evaluation Review, 32(1), 398–399. https://doi.org/10.1145/1012888.1005736

DOI: https://doi.org/10.21831/jpv.v11i3.39367