Development of Educational Media For Distribution Network Practicum Using A Lora-Based Load Monitoring and Control Tool

Andi Wawan Indrawan; Hamsu Abdul Gani; Ruslan

doi:10.47134/jtp.v3i3.2567

Authors

Andi Wawan Indrawan Universitas Negeri Makassar
Hamsu Abdul Gani Universitas Negeri Makassar
Ruslan Universitas Negeri Makassar

DOI:

https://doi.org/10.47134/jtp.v3i3.2567

Keywords:

Learning Media, Load Monitoring and Control Tools, LoRa, Low Voltage Distribution Networks, ADDIE Model

Abstract

This study aims to develop and evaluate innovative learning media for the low-voltage distribution network load imbalance practicum using LoRa-based monitoring and control tools. Adopting a Research and Development (R&D) design with the ADDIE model, this study will be at the Ujung Pandang State Polytechnic (PNUP) in 2023. The research methodology involves five stages of ADDIE (Analysis, Design, Development, Implementation, Evaluation) to develop learning media in the form of Semester Learning Plans (RPS), modules, jobsheets, and tool guides. Validation by two experts was used to measure the feasibility of the product, while practicality was assessed through questionnaires in small (N=7) and large (N=38) group trials. Sensor accuracy testing showed a very low error rate (0.15% - 0.53%) compared to standard measuring instruments, proving the reliability of the device. Effectiveness was measured through pre-test and post-test in 38 experimental students and 38 control class students, analyzed by Kolmogorov-Smirnov, Levene, and paired sample t-test. The results of the study showed that the learning media and its supporting devices obtained the category of "Very Valid" from experts (average score of 4.53). Assessments of practicality by students consistently resulted in the "Very Practical" category (small group 4.59; large group 4.67). Comparison of learning outcomes showed a significant improvement in the experimental class (mean N-gain of 75.70%) compared to the control class (mean N-gain of 9.94%), with a significance value of p < 0.001) for both groups, but with a much greater effect in the experimental class. Thus, it is concluded that the learning media developed has proven to be very feasible, practical, reliable, and effective in improving student competence on the topic of distribution network load imbalance.

References

Adi Pratama, I., Kurniawan Yusuf, R., Prima Dewi, R., & Rahmat, S. (2023). Rancang bangun trainer sistem distribusi listrik dalam skala laboratorium sebagai media pembelajaran praktikum. Retrieved from https://winco.cilacapkab.go.id

Aji Prasetyawibawa. (2008). Analisis pengembangan simulator sistem penyaluran jaringan tegangan rendah (JTR) 220/380 V kepada pelanggan untuk media pembelajaran distribusi tenaga elektrik. TEKNO, 9, 11–18.

Aulia, H., Hafeez, M., Mashwani, H. U., Careemdeen, J. D., Mirzapour, M., & Syaharuddin. (2024). The role of interactive learning media in enhancing student engagement and academic achievement. In Proceeding of international seminar on student research in education, science, and technology (Vol. 1).

Azhura, P. D., Mustikasari, A., Laily, C. A. N., Mahardika, I. K., Yusmar, F., Firdausi, S., ... [et al.]. (2024). The role of learning media in educational components to enhance students. International Journal of Education, Information Technology, and Others (IJEIT), 7(4).

Batong, A. R., Murdiyat, P., & Kurniawan, A. H. (2020). Analisis kelayakan LoRa untuk jaringan komunikasi sistem monitoring listrik di Politeknik Negeri Samarinda. PoliGrid, 1(2), 55–63. https://doi.org/10.46964/poligrid.v1i2.602 DOI: https://doi.org/10.46964/poligrid.v1i2.602

Branch, R. M. (2010). Instructional design: The ADDIE approach. Springer. https://doi.org/10.1007/978-0-387-09506-6 DOI: https://doi.org/10.1007/978-0-387-09506-6

Bunari, B., Setiawan, J., Ma’arif, M. A., Purnamasari, R., Hadisaputra, H., Sudirman, S., ... [et al.]. (2024). The influence of flipbook learning media, learning interest, and learning motivation on learning outcomes. Journal of Education and Learning, 18(2). https://doi.org/10.11591/edulearn.v18i2.21059 DOI: https://doi.org/10.11591/edulearn.v18i2.21059

Ciontea, C. I., & Iov, F. (2021). A study of load imbalance influence on power quality assessment for distribution networks. Electricity, 2(1), 77–90. https://doi.org/10.3390/electricity2010005 DOI: https://doi.org/10.3390/electricity2010005

Dai, Z., Shi, K., Zhu, Y., Zhang, X., & Luo, Y. (2023). Intelligent prediction of transformer loss for low voltage recovery in distribution network with unbalanced load. Energies, 16(11), Article 4432. https://doi.org/10.3390/en16114432 DOI: https://doi.org/10.3390/en16114432

Dion Bahrudin, A., & Insjaf Yogihati, C. (2022). Development of interactive learning media as an alternative to improve students’ conceptual understanding and motivation on the temperature and heat topics. International Journal of Education and Teaching Zone, 1(2), 132–145. https://doi.org/10.57092/ijetz.v1i2.37 DOI: https://doi.org/10.57092/ijetz.v1i2.37

Fuadi, M. Z. (2022). Penggunaan miniatur sistem penyaluran tenaga listrik pada mata pelajaran Jaringan Distribusi Tenaga Listrik di SMK Negeri 2 Banda Aceh (Bachelor’s thesis). Universitas Islam Negeri AR Raniry, Banda Aceh.

Hien, N. N., Danh, L. V. Q., Phong, N. T., & Tram, N. T. (2023). An IoT based system for monitoring power failure in 22 kV distribution transformer substations using LoRa communication. In Lecture notes in electrical engineering. Springer. https://doi.org/10.1007/978-981-19-7753-4_49 DOI: https://doi.org/10.1007/978-981-19-7753-4_49

Ignatius, O. K., Saadu, A. K., & Emmanuel, O. S. (2015). Analysis of copper losses due to unbalanced load in a transformer (A case study of New Idumagbo 2 x 15 MVA, 33/11 kV injection substation). International Journal of Research and Reviews in Applied Sciences, 23(1), 46.

Jayabadi, D. S. W., Winardi, B., & Facta, M. (2017). Analisis ketidakseimbangan beban trafo 1 Gi Srondol terhadap rugi rugi akibat arus netral dan suhu trafo menggunakan ETAP 12.6.0. Transient: Jurnal Ilmiah Teknik Elektro, 5(4), 425–431. https://doi.org/10.14710/TRANSPARENT.5.4.425-431

Kandris, D., Nakas, C., Vomvas, D., & Koulouras, G. (2020). Applications of wireless sensor networks: An up to date survey. Applied System Innovation, 3(1), Article 14. https://doi.org/10.3390/asi3010014 DOI: https://doi.org/10.3390/asi3010014

Liliana, R. A., Raharjo, W., Jauhari, I., & Sulisworo, D. (2020). Effects of the online interactive learning media on student’s achievement and interest in physics. Universal Journal of Educational Research, 8(3B), 972–978. https://doi.org/10.13189/ujer.2020.081507 DOI: https://doi.org/10.13189/ujer.2020.081507

Muhammad, H., Murtinugraha, R. E., & Musalamah, S. (2020). Pengembangan media pembelajaran e learning berbasis Moodle pada mata kuliah Metodologi Penelitian. Jurnal PenSil, 9(1). https://doi.org/10.21009/jpensil.v9i1.13453 DOI: https://doi.org/10.21009/jpensil.v9i1.13453

Osahenvemwen, O. A., Okhumeode, M. E., & Emakpor, S. (2020). The effects of unbalanced load in power distribution sub station network. American Journal of Science and Engineering Research, 3(5), 1–11. http://www.iarjournals.com

Sugiono. (2015). Metode penelitian pendidikan (22nd ed.). ALVABETA.

Tanjung, R. E., & Faiza, D. (2019). CANVA sebagai media pembelajaran pada mata pelajaran Dasar Listrik dan Elektronika. Voteteknika (Vocational Teknik Elektronika dan Informatika), 7(2), 6–11. https://doi.org/10.24036/voteteknika.v7i2.104261 DOI: https://doi.org/10.24036/voteteknika.v7i2.104261

Thomas, L. J. (2015). Connection imbalance in low voltage distribution networks (Master’s thesis). Cardiff University. Retrieved from http://orca.cf.ac.uk/84259/

Wayan Kandia, I., Made Suarningsih, N., & Mayadiana Suwarma, D. (2023). The strategic role of learning media in optimizing student learning outcomes. Journal of Education Research, 6(1), 1–10 DOI: https://doi.org/10.37985/jer.v4i2.193