Prototype of landslide detection alarm based on IoT (Internet of Things) as a physics learning medium

Nabila Putri Anisa, Nor Farahwahida Binti Abdul Rahman, Sahrul Saehana

Abstract

This research aims to create a prototype device in the form of an alarm capable of detecting landslide disasters in Donggala Regency. It is expected to be utilized in the environmental physics subject at the secondary school level. The study utilizes long-range communication (LoRa) and Telegram application as an early warning notification system for landslide disasters. The research method adopts the Research and Development (R&D) design adapted from Sugiyono's development research, consisting of potential and problems, data collection, product design, design validation, product testing, analysis, and reporting. The survey was employed as a data collection instrument. The quality or feasibility of the developed prototype, based on expert validation, indicates a "Very Good" category, and students' responses to the tool testing also show a "Very Good" category. Thus, the IoT-based landslide detection alarm prototype has been well-developed and is suitable for use in physics education at the secondary school level.

References

Arrahma, S. A., & Mukhaiyar, R. (2023). Pengujian Esp32-Cam Berbasis Mikrokontroler ESP32. Jtein, 4(1).
Caldera, H. J., & Wirasinghe, S. C. (2022). A universal severity classification for natural disasters. Natural Hazards, 111(2). https://doi.org/10.1007/s11069-021-05106-9
Diana, G. O., & Wildian, W. (2019). Rancang Bangun Sistem Pendeteksian Dini Tanah Longsor Berbasis SMS. Jurnal Fisika Unand, 8(1). https://doi.org/10.25077/jfu.8.1.20-25.2019
Diskominfo Kabupaten Bogor. (2021). Perkembangan Teknologi Informasi dalam Penanggulangan Bencana Alam di Indonesia. Portal Resmi Kabupaten Bogor.
El fatimi, A., Addaim, A., & Guennoun, Z. (2023). Software calibration for AK8963 magnetometer based on optimal ellipsoidal fitting. International Journal of Electrical and Computer Engineering, 13(3). https://doi.org/10.11591/ijece.v13i3.pp2743-2751
Fachrizal, F., Zarlis, M., & Efendi, S. (2020). Waspmote-Based Landslide Early Disaster Detection System with GSM Communication. Journal of Physics: Conference Series, 1566(1). https://doi.org/10.1088/1742-6596/1566/1/012036
Fariz, T. R., Suhardono, S., & Verdiana, S. (2021). Pemanfaatan Data Twitter Dalam Penanggulangan Bencana Banjir dan Longsor. CogITo Smart Journal, 7(1). https://doi.org/10.31154/cogito.v7i1.305.135-147
Guevara, N. E., Bolaños, Y. H., Diago, J. P., & Segura, J. M. (2022). Development of a low-cost IoT system based on LoRaWAN for monitoring variables related to electrical energy consumption in low voltage networks. HardwareX, 12. https://doi.org/10.1016/j.ohx.2022.e00330
Islam, R., Rahman, M. W., Rubaiat, R., Hasan, M. M., Reza, M. M., & Rahman, M. M. (2022). LoRa and server-based home automation using the internet of things (IoT). Journal of King Saud University - Computer and Information Sciences, 34(6). https://doi.org/10.1016/j.jksuci.2020.12.020
Jamil, M., Saefudin, H., & Marasabessy, S. (2019). Sistem peringatan dini kebakaran hutan menggunakan modul nodemcu dan bot telegram dengan konsep Internet of Things (IOT). KOMIK (Konferensi Nasional Teknologi Informasi Dan Komputer), 3(1). https://doi.org/10.30865/komik.v3i1.1558
Pratiwi, I., Ito, M. A., Harahap, M. A. R., & Steven, F. (2021). Pemetaan Rawan Longsor Daerah Palu Dengan Metode Weight Overlay. Jurnal Geosains Dan Remote Sensing, 2(2). https://doi.org/10.23960/jgrs.2021.v2i2.48
Putra, I. K. A., & Wardika, I. G. (2021). Analisis Kerentanan Lahan Terhadap Potensi Bencana Tanah Longsor pada Wilayah Kaldera Batur Purba. Media Komunikasi Geografi, 22(2). https://doi.org/10.23887/mkg.v22i2.36925
Raharja, R. U. M., Pudoli, A., & Kusumaningsih, D. (2022). Prototype smart home berbasis IoT dengan nodemcu esp8266, motor servo dan sensor suhu dht11 berbasis web. SKANIKA, 5(2). https://doi.org/10.36080/skanika.v5i2.2952
Reynaldi, M. I., Sofwan, A., & Sumardi, S. (2019). Perancangan pengukuran pergeseran tanah pada sistem peringatan dini bencana tanah longsor. TRANSIENT, 7(3). https://doi.org/10.14710/transient.7.3.768-774
Arikunto, S. (2014). Metode penelitian kuantitatif, kualitatif, dan kombinasi (mixed methods). Bandung: Alfabeta.
Zhao, N., Zhao, B., Shen, G., Jiang, C., Wang, Z., Lin, Z., Zhou, L., & Liu, J. (2023). A robust HD-sEMG sensor suitable for convenient acquisition of muscle activity in clinical post-stroke dysphagia. Journal of Neural Engineering, 20(1). https://doi.org/10.1088/1741-2552/acab2f

Authors

Nabila Putri Anisa
Nor Farahwahida Binti Abdul Rahman
Sahrul Saehana
sahrulsaehana@gmail.com (Primary Contact)
Anisa, N. P., Rahman, N. F. B. A., & Saehana, S. (2024). Prototype of landslide detection alarm based on IoT (Internet of Things) as a physics learning medium. Journal of Environment and Sustainability Education, 2(1), 1–5. https://doi.org/10.62672/joease.v2i1.26

Article Details