Utilization of the Internet of Things to Optimize Teaching Factory in Vocational Schools: Industry 5.0-Based Learning Innovation

Ratna Fajarwati Meditama (1), Aries Musnandar (2), Sutrisno Sutrisno (3), Irsyad Dzulfiqar Abidin (4), Andika Hariyanto Surbakti (5)
(1) Universitas Islam Raden Rahmat Malang, Indonesia,
(2) Universitas Islam Raden Rahmat Malang, Indonesia,
(3) Universitas Islam Negeri Maulana Malik Ibrahim Malang, Indonesia,
(4) Universitas Islam Negeri Maulana Malik Ibrahim Malang, Indonesia,
(5) Institut Agama Islam Negeri Takengon, Indonesia

Abstract

Background. The Industrial Revolution 5.0 demands innovation in the education sector, particularly in Vocational High Schools (SMK), to prepare graduates capable of competing in the digital era and smart industry. This research explores the integration of the Internet of Things (IoT) within the Teaching Factory concept in SMK as a strategy to optimize industry-based learning. IoT technology enables the Teaching Factory to simulate real industrial environments, allowing students to be actively involved in production processes supported by real-time data and automation.


Purpose. The purpose of this study is to analyze the benefits of IoT implementation in the Teaching Factory to enhance student readiness for the workforce.


Method. The research method includes a literature review and a case study of SMKs that have integrated IoT into their Teaching Factory activities.


Results. The results indicate that IoT use increases efficiency and productivity in the learning process while enriching students’ learning experiences through interactive and adaptive methods. IoT integration also helps students develop relevant skills for the workforce, thus reducing unemployment rates in Indonesia.


Conclusion. In conclusion, the incorporation of IoT into the Teaching Factory concept offers significant opportunities for SMK to better prepare students for the challenges of Industry 5.0. This article provides practical recommendations for SMK administrators to develop IoT-based curricula and learning infrastructure to align with industrial needs.

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References

Akbar, J., Dethan, J. F. N., . R., Arijanto, R., Daniawan, B., & Leo, A. (2024). Implementasi Internet of Things (IoT) dalam Pelatihan Siswa Multimedia SMK Setia Bhakti. Jurnal Abdimas Berdaya?: Jurnal Pembelajaran, Pemberdayaan dan Pengabdian Masyarakat, 7(1), 55. https://doi.org/10.30736/jab.v7i1.608

Al Mubarak, M. (2023). Sustainably Developing in a Digital World: Harnessing artificial intelligence to meet the imperatives of work-based learning in Industry 5.0. Development and Learning in Organizations: An International Journal, 37(3), 18–20. https://doi.org/10.1108/DLO-04-2022-0063

Al-Emran, M., Malik, S. I., & Al-Kabi, M. N. (2020). A Survey of Internet of Things (IoT) in Education: Opportunities and Challenges. Dalam A. E. Hassanien, R. Bhatnagar, N. E. M. Khalifa, & M. H. N. Taha (Ed.), Toward Social Internet of Things (SIoT): Enabling Technologies, Architectures and Applications (Vol. 846, hlm. 197–209). Springer International Publishing. https://doi.org/10.1007/978-3-030-24513-9_12

AlHelaibi, S. M., & Al Mubarak, M. (2023). Challenges for Internet of Things (IoT) Applications in Vocational Education in Bahrain. Dalam R. El Khoury & N. Nasrallah (Ed.), Emerging Trends and Innovation in Business and Finance (hlm. 563–574). Springer Nature Singapore. https://doi.org/10.1007/978-981-99-6101-6_40

Alizamir, M., Kim, S., Kisi, O., & Zounemat-Kermani, M. (2020). A comparative study of several machine learning based non-linear regression methods in estimating solar radiation: Case studies of the USA and Turkey regions. Energy, 197, 117239. https://doi.org/10.1016/j.energy.2020.117239

Ardhinar, M., & Wibawa, A. (2022). Persiapan Pendidikan Dalam Ranah Pembelajaran Pada Society 5.0. Jurnal Inovasi Teknologi dan Edukasi Teknik, 2(2), 86–92. https://doi.org/10.17977/um068v2i22022p86-92

Awodoyin, A., & Okiki, O. (2023). Integrating Internet of Things (IoT) into Library and Information Science (LIS) School’s Curriculum in Selected Universities in Nigeria. Folia Toruniensia, 23, 97–117. https://doi.org/10.12775/FT.2023.005

Chen, L., & Lertamornsak, G. (2023). Internet of Things (IoT) based Investigation between Instructors’ Insight of Constructivist Learning Theory and Learners Performance analysis in Higher Vocational Accounting Training. International Journal on Recent and Innovation Trends in Computing and Communication, 11(6s), 217–227. https://doi.org/10.17762/ijritcc.v11i6s.6824

Chen, X., Wang, Q., Cheng, Z., Zhu, M., Zhou, H., Jiang, P., Zhou, L., Xue, Q., Yuan, F., Zhu, J., Wu, X., & Ma, E. (2021). Direct observation of chemical short-range order in a medium-entropy alloy. Nature, 592(7856), 712–716. https://doi.org/10.1038/s41586-021-03428-z

Diwangkoro, E. & Soenarto. (2020). Development of teaching factory learning models in vocational schools. Journal of Physics: Conference Series, 1456(1), 012046. https://doi.org/10.1088/1742-6596/1456/1/012046

Dvorak, J., Hörsting, R., Gleich, K., Litterst, J., May, M. C., & Lanza, G. (2024). Circular Production in Learning Factories: A Teaching Concept. Dalam S. Thiede & E. Lutters (Ed.), Learning Factories of the Future (Vol. 1059, hlm. 358–365). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-65411-4_42

Febrinasari, N., Widayanti, A. W., Prabandari, Y. S., & Satibi, S. (2023). Role and challenges of community pharmacists in managing mental health care in Indonesia: A mix-method study. Asian Journal of Psychiatry, 89, 103773. https://doi.org/10.1016/j.ajp.2023.103773

Habibi, A., Sofyan, S., & Mukminin, A. (2023). Factors affecting digital technology access in vocational education. Scientific Reports, 13(1), 5682. https://doi.org/10.1038/s41598-023-32755-6

Heriyati, P., & Abror, M. (2023). Teaching Factory Implementation for Fashion Design and Production Program at Vocational High School 3 Cilegon, West Java, Indonesia. E3S Web of Conferences, 426, 02110. https://doi.org/10.1051/e3sconf/202342602110

Hussain, F., Hussain, R., Hassan, S. A., & Hossain, E. (2020). Machine Learning in IoT Security: Current Solutions and Future Challenges. IEEE Communications Surveys & Tutorials, 22(3), 1686–1721. https://doi.org/10.1109/COMST.2020.2986444

Hwang, E., Kirkham, R., Marshall, K., Kharrufa, A., & Olivier, P. (2023). Sketching dialogue: Incorporating sketching in empathetic semi-Structured interviews for human-computer interaction research. Behaviour & Information Technology, 42(13), 2226–2254. https://doi.org/10.1080/0144929X.2022.2113431

Ibarra-Sáiz, M. S., González-Elorza, A., & Rodríguez Gómez, G. (2023). Aportaciones metodológicas para el uso de la entrevista semiestructurada en la investigación educativa a partir de un estudio de caso múltiple. Revista de Investigación Educativa, 41(2), 501–522. https://doi.org/10.6018/rie.546401

Irawan, A., Pratama, A. W., & Rachmanita, R. E. (2022). The teaching factory (TEFA) pilot project of transportation system engineering as an opportunity in the department of engineering at Politeknik Negeri Jember. IOP Conference Series: Earth and Environmental Science, 980(1), 012065. https://doi.org/10.1088/1755-1315/980/1/012065

Jaganathan, S., Ramesh, M., & Krishnan, R. (2020). Perception, knowledge, and attitude of problem-based learning among dental college students in India: A closed-ended questionnaire study. Journal of Pharmacy And Bioallied Sciences, 12(5), 340. https://doi.org/10.4103/jpbs.JPBS_376_19

Kayohana, K. W., Asnawi, R., & Amaria, M. A. (2023). The effectiveness of iot-based learning media for supporting the expertise program of renewable energy engineering in vocational high school. Jurnal Pendidikan Teknologi dan Kejuruan, 29(2), 46–64. https://doi.org/10.21831/jptk.v29i2.52766

Kiger, M. E., & Varpio, L. (2020). Thematic analysis of qualitative data: AMEE Guide No. 131. Medical Teacher, 42(8), 846–854. https://doi.org/10.1080/0142159X.2020.1755030

Kishor, A., & Chakraborty, C. (2022). Artificial Intelligence and Internet of Things Based Healthcare 4.0 Monitoring System. Wireless Personal Communications, 127(2), 1615–1631. https://doi.org/10.1007/s11277-021-08708-5

Kristanto, K., Kuat, T., & Noor, B. (2023). The Contribution Teaching Factory On Practical Learning Process, Production Process And Vocational School Quality. Journal of Social Science (JoSS), 2(5), 446–455. https://doi.org/10.57185/joss.v2i5.72

Kumar, A., Mondal, S., Verma, G., & Mani, P. (Ed.). (2024). Embedded devices and internet of things: Technologies, and applications (First edition). CRC Press.

Liang, M. (2021). Optimization of Quantitative Financial Data Analysis System Based on Deep Learning. Complexity, 2021(1), 5527615. https://doi.org/10.1155/2021/5527615

Love, H. R., Fettig, A., & Steed, E. A. (2023). Putting the “Mix” in Mixed Methods: How to Integrate Quantitative and Qualitative Research in Early Childhood Special Education Research. Topics in Early Childhood Special Education, 43(3), 174–186. https://doi.org/10.1177/02711214231199268

M, A. J., I, E. S., & Ramasamy, L. K. (2023). Recommender System for Predicting Students’ Academic performance in association with Cognitive state and Affective state using Sentiment Analysis and Association Rule Mining on the closed ended questionnaire. 2023 9th International Conference on Information Technology Trends (ITT), 79–83. https://doi.org/10.1109/ITT59889.2023.10184251

Maksum, H., Yuvenda, D., & Purwanto, W. (2022). Improvement of Metacognitive and Critical Thinking Skills through Development of the a ‘Teaching Factory Based on Troubleshooting (TEFA-T) Model in Automotive Vocational Learning. Journal of Turkish Science Education, 3. https://doi.org/10.36681/tused.2022.161

Mohamadirizi, S., Mardanian, F., & Torabi, F. (2020). The effect of direct observation of procedural skills method on learning clinical skills of midwifery students of medical sciences. Journal of Education and Health Promotion, 9(1), 91. https://doi.org/10.4103/jehp.jehp_672_19

Nidhom, A. M., Smaragdina, A. A., Gres Dyah, K. N., Andika Bagus Nur, R. P., Setiadi Cahyono, P., Suswanto, H., Hakiki, M. A., & Yunos, J. M. (2021). Live View Augmented Reality Technology Integrated IoT in Vocational Education Learning. 2021 7th International Conference on Electrical, Electronics and Information Engineering (ICEEIE), 210–215. https://doi.org/10.1109/ICEEIE52663.2021.9616802

Oktavianto, D. A. (2021). The implementation of group investigation learning model to equip students to think critically in addressing the hoax content of disaster on the internet. IOP Conference Series: Earth and Environmental Science, 683(1), 012039. https://doi.org/10.1088/1755-1315/683/1/012039

Padmaja, M., Shitharth, S., Prasuna, K., Chaturvedi, A., Kshirsagar, P. R., & Vani, A. (2022). Grow of Artificial Intelligence to Challenge Security in IoT Application. Wireless Personal Communications, 127(3), 1829–1845. https://doi.org/10.1007/s11277-021-08725-4

Perla, L., Agrati, L. S., University of Bergamo, Bergamo, Italy, Vinci, V., & University of Foggia, Foggia, Italy. (2023). The Documentation for the System Evaluation and the Teachers Professional Development: A University-school Collaborative Research in Italy. Education & Self Development, 18(3), 69–91. https://doi.org/10.26907/esd.18.3.05

Pham, Q.-V., Fang, F., Ha, V. N., Piran, Md. J., Le, M., Le, L. B., Hwang, W.-J., & Ding, Z. (2020). A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art. IEEE Access, 8, 116974–117017. https://doi.org/10.1109/ACCESS.2020.3001277

Prianto, A., Winardi, W., Assoc. Prof., Civic Education Department of STKIP PGRI Jombang, East Java Indonesia, win.stkipjb@gmail.com, Qomariyah, U. N., & Mathematic Education Department of STKIP PGRI Jombang, East Java Indonesia, umi.stkipjb.gmail.com. (2021). The Effect of the Implementation of Teaching Factory and Its Learning Involvement toward Work Readiness of Vocational School Graduates. International Journal of Instruction, 14(1), 283–302. https://doi.org/10.29333/iji.2021.14117a

Rukhiran, M., Wong-In, S., & Netinant, P. (2023). IoT-Based Biometric Recognition Systems in Education for Identity Verification Services: Quality Assessment Approach. IEEE Access, 11, 22767–22787. https://doi.org/10.1109/ACCESS.2023.3253024

Saputro, I. N. (2024). Literature Review of The Development of a Green Campus Teaching Factory-Based Learning Model in Vocational Schools in Indonesia. QALAMUNA: Jurnal Pendidikan, Sosial, dan Agama, 16(1), 65–76. https://doi.org/10.37680/qalamuna.v16i1.3438

Setiawan, H. S., Ismailah, I., & Suwela, N. (2023). Pembelajaran Multimedia di Era Revolusi Industri 4.0 Pada SMK Yapimda Jakarta Selatan. Kapas: Kumpulan Artikel Pengabdian Masyarakat, 1(3). https://doi.org/10.30998/ks.v1i3.1492

Shekhovtsov, A., & Sa?abun, W. (2020). A comparative case study of the VIKOR and TOPSIS rankings similarity. Procedia Computer Science, 176, 3730–3740. https://doi.org/10.1016/j.procs.2020.09.014

Siddiqui, S., Thomas, M., & Nazar Soomro, N. (2020). Technology integration in education: Source of intrinsic motivation, self-efficacy and performance. Journal of E-Learning and Knowledge Society, 11-22 Pages. https://doi.org/10.20368/1971-8829/1135188

Sultana, N., & Tamanna, M. (2022). Evaluating the Potential and Challenges of IoT in Education and Other Sectors during the COVID-19 Pandemic: The Case of Bangladesh. Technology in Society, 68, 101857. https://doi.org/10.1016/j.techsoc.2021.101857

Suwastika, N. A., Masrom, M., & Qonita, Q. (2023). IoT Application in Indonesian Vocational Schools as Learning Media and Learning Support Infrastructure: A Systematic Review. 2023 9th International Conference on Education and Technology (ICET), 1–7. https://doi.org/10.1109/ICET59790.2023.10435272

Wahjusaputri, S., Bunyamin, B., & Nastiti, T. I. (2021). Critical success factors in implementing teaching factory-based competency for voca-tional high school students. Jurnal Cakrawala Pendidikan, 40(3), 584–592. https://doi.org/10.21831/cp.v40i3.28877

Zhang, H., Guo, Y., Prosperi, M., & Bian, J. (2020). An ontology-based documentation of data discovery and integration process in cancer outcomes research. BMC Medical Informatics and Decision Making, 20(S4), 292. https://doi.org/10.1186/s12911-020-01270-3

Authors

Ratna Fajarwati Meditama
Aries Musnandar
raries.m1@gmail.com (Primary Contact)
Sutrisno Sutrisno
Irsyad Dzulfiqar Abidin
Andika Hariyanto Surbakti
Meditama, R. F., Musnandar, A., Sutrisno, S., Abidin, I. D., & Surbakti, A. H. (2024). Utilization of the Internet of Things to Optimize Teaching Factory in Vocational Schools: Industry 5.0-Based Learning Innovation. Journal Emerging Technologies in Education, 2(5). https://doi.org/10.70177/jete.v2i5.1363

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