RANCANG BANGUN SISTEM PPMS UV-IoT UNTUK EDUKASI KANKER KULIT DAN GELOMBANG ELEKTROMAGNETIK
Article Sidebar
Main Article Content
Abstract
Physics learning often faces challenges in visualizing abstract concepts such as electromagnetic waves, especially ultraviolet (UV) light. This research aims to develop and test the feasibility of Physics Parameter Monitoring System (PPMs) of UV based on IoT as a medium for skin cancer education. The system consists of GUVA-S12SD sensor, DHT11, Wemos D1 ESP8266, and Blynk platform for real-time data visualization. The research used the Research and Development (R&D) method of the 4-D model (Define, Design, Develop, Disseminate). The feasibility test by experts showed that the LKPD scored 85.25% and the UV PPMs 80.75%, both in the very feasible category. Implementation on class XI students increased active participation (80%) and concept understanding (up 15%). The results showed that PPMs UV can be used in interactive learning, helping students understand the relationship between UV rays and skin cancer risk, and developing data analysis skills. However, limitations such as limited research coverage, short trial duration, and reliance on the paid Blynk platform potentially hinder accessibility. Therefore, further development could include improving the design of the tool, testing on a wider scale, and integrating auto-upgrading and data storage features to make it more effective in learning and environmental monitoring.
Article Details
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
Al-Khariri, M. R., & Ismayati, E. (2019). Pengembangan Media Pembelajaran Menggunakan Software Autoplay Media Studio pada Materi Gelombang Elektromagnetik di Jurusan Teknik Elektro Universitas Negeri Surabaya. Jurnal Pendidikan Tenik Elektro, 08(01), 121–126.
Al-Sadek, T., & Yusuf, N. (2024). Ultraviolet Radiation Biological and Medical Implications. Current Issues in Molecular Biology, 46(3), 1924–1942. https://doi.org/10.3390/cimb46030126
Apriyadi, L., Zahra, S. S., Octaviani, S. N., & Karlina, D. L. (2024). Analisis Pengaplikasian Medan Elektromagentik Terhadap Gelombang Radio Frekuensi Tinggi. 6.
Arif, A. (2023). Angka kematian karena Kanker Kulit yang dipicu paparan sinar matahari meningkat tajam. Kompas.Id. https://www.kompas.id/baca/humaniora/2023/11/10/kematian-karena-kanker-kulit-yang-dipicu-paparan-sinar-matahari-meningkat-tajam
Ersöz, Y., & Ersöz, G. (2022). Innovation in Physical Activity and Exercise during the COVID-19 Catastrophe. In Sport Management, Innovation and the COVID-19 Crisis (1st Editio). taylorfrancis.com.
Fazio, R. De, Al-Hinnawi, A. R., Vittorio, M. De, & Visconti, P. (2022). An energy-autonomous smart shirt employing wearable sensors for users’ safety and protection in hazardous workplaces. In Applied Sciences. mdpi.com.
Hmelo-Silver, C. E. (2004). Problem-based learning: What and how do students learn? Educational Psychology Review, 16(3), 235–266. https://doi.org/10.1023/B:EDPR.0000034022.16470.f3
Hmelo-Silver, C. E., & Barrows, H. S. (2006). Goals and Strategies of a Problem-based Learning Facilitator. Interdisciplinary Journal of Problem-Based Learning, 1(1), 20–39. https://doi.org/10.7771/1541-5015.1004
Itqan, M. S., & Arrahmani, N. I. F. (2023). Pengembangan Media Pembelajaran Matematika Berbasis IoT dengan Pendekatan Problem Based Learning. Jurnal Pendidikan Matematika, 1(2), 9. https://doi.org/10.47134/ppm.v1i2.120
Mohammed, M. N., Hazairin, N. A., Arif, A. S., & ... (2021). 2019 novel coronavirus disease (covid-19): Toward a novel design for disinfection robot to combat coronavirus (covid-19) using iot based technology. 2021 IEEE 12th ….
Muchlis, F., & Toifur, M. (2017). Rancang Bangun Prototype Media Pembelajaran Fisika Berbasis Micro Controller NodeMCU. Jurnal Riset Dan Kajian Pendidikan Fisika, 4(1), 12. https://doi.org/10.12928/jrkpf.v4i1.6464
Nafiah, S. R., Fitraneti, E., Rizal, Y., Primawati, I., & Hamama, D. A. (2024). Pengaruh Paparan Sinar Ultraviolet terhadap Kesehatan Kulit dan Upaya Pencegahannya : Tinjauan Literatur. Scientific Journal, 3(3), 185–194. https://doi.org/10.56260/sciena.v3i3.147
Razmjooy, N., & Rajinikanth, V. (2022). Medical-imaging-supported disease diagnosis. Frontiers of Artificial Intelligence in ….
Rizki Annisa, T., & Fitria Haryani, F. (2023). Internet of Things For Physics Education Future: A Scoping Review. Prosiding Unimpa. http://e-journal.unipma.ac.id/index.php/snpf
Salsabillah, S., Sundarti, & supeno. (2018). Analisis Penguasaan Konsep – Konsep Fisika Pokok Bahasan Gelombang Elektromagnetik Pada Siswa Kelas XII SMA. Seminar Nasional Pendidikan Fisika, 3(1), 259–267.
Singh, R., Singh, P., & Kharb, L. (2020a). Proposing Real-Time Smart HealthcareModel Using IoT. Internet of Things Use Cases for the Healthcare Industry. https://doi.org/10.1007/978-3-030-37526-3
Singh, R., Singh, P., & Kharb, L. (2020b). Smart Nursery with Health Monitoring System Through Integration of IoT and Machine Learning. Big Data Analytics and Intelligence: A Perspective for Health Care. https://doi.org/10.1108/978-1-83909-099-820201017
Walker, A., Leary, H., Hmelo-Silver, C. E., & Ertmer, P. A. (2020). Essentials Readings in Problem-Based Learning. In Purdue University Press. https://doi.org/10.2307/j.ctt6wq6fh.12
Yassin, M. F., Nazara, B. R. J., Qiblatain, D., Azhary, K. M. R., Andhika, M. R., Hidayatulloh, F. A., & Lubis, B. O. (2024). IMPLEMENTASI ALGORITMA C4.5 UNTUK ANALISIS DAMPAK NEGATIF GELOMBANG ELEKTROMAGNETIK TELEPON SELULER TERHADAP OTAK PADA PERIODE 2019-2023. HUMANIORASAINS, 2(1), 24–30.