APLIKASI SENSOR KELEMBABAN DAN FLEX SENSOR BERBASIS ARDUINO UNO UNTUK SISTEM PENDETEKSI LONGSOR

Authors

  • Rustan Rustan
  • Jesi Pebralia
  • Tika Restianingsih
  • Frastica Deswardani a:1:{s:5:"en_US";s:17:"Universitas Jambi";}
  • Mardian Peslinof
  • Nurhidayah Nurhidayah
  • Iful Amri

DOI:

https://doi.org/10.22437/jop.v7i1.14805

Keywords:

humidity sensor, flex sensor, landslide detection, arduino uno

Abstract

Early detection of landslides is very important to minimize the number of deaths. Technological developments allow humans to predict the signs of landslides more accurately, quickly, and scientifically. In this study, sensors were tested to measure landslide disaster parameters, namely humidity sensors to measure soil moisture and flex sensors to measure soil movement. The sensor is controlled using a microcontroller Arduino Uno. A functionality test was carried out to test the ability of the sensors. The functionality test was carried out using the unit testing method. The unit testing method is carried out by comparing the functional test results of each sensor to the expected response. The moisture sensor functionality test shows that the sensor is able to respond to changes in water content in the soil with changes in voltage. The linear equation resulting from the calibration of the humidity sensor is y = -0.126x + 2.666 with R2 = 0.871. The flex sensor functionality test shows that the sensor is able to detect soil movement in the presence of changes in voltage. The linear equation resulting from the flex sensor calibration is y = -2.861x + 2507 with R2 = 0.964. This shows that the humidity sensor and flex sensor are good enough to be applied in the design of a landslide detection system.

 

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References

Amri, M. R., Yulianti, G., Yunus, R., Wiguna, S., W. Adi, A., Ichwana, A. N., & Randongkir, Roling Evans Septian, R. T. (2018). RBI (Risiko Bencana Indonesia). Bnpb Direktorat Pengurangan Risiko Bencana, 9(3), 1–218.

Apriyono, A. (2009). Analisis penyebab tanah longsor di Kalitlaga Banjarnegara. Dinamika Rekayasa, 5(1), 14–18.

Biansoongnern, S., Plungkang, B., & Susuk, S. (2016). Development of low cost vibration sensor network for early warning system of landslides. Energy Procedia, 89, 417–420.

Ckhotimah, H., Vonnisa, M., & Budiman, A. (2020). Pemanfaatan data alos PALSAR untuk etimasi pergerakan tanah kota Padang upaya mitigasi bencana longsor. Jurnal Fisika Unand, 9(1), 93–99.

Glade, T., & Crozier, M. J. (2005). The nature of landslide hazard impact. Landslide Hazard and Risk, 43–74.

Hidayat, T. (2017). Sistem Pendeteksi Dini Longsor Menggunakan Teknologi Wireless Sensor Network (WSN). Jurnal Teknik Elektro ITP, 6(1), 87–92.

Isnaini, R. (2019). Analisis Bencana Tanah Longsor di Wilayah Jawa Tengah. Islamic Management and Empowerment Journal, 1(2).

Mardhatillah, E., & Wildian, W. (2017). Rancang Bangun Sistem Peringatan Dini Tanah Longsor Berbasis Mikrokontroler ATmega328 Menggunakan Metode Penginderaan Berat. Jurnal Fisika Unand, 6(2), 162–168.

Priyanto, J., Subagiyo, H., & Madona, P. (2015). Rancang Bangun Peringatan Bahaya Longsor dan Monitoring Pergeseran Tanah Menggunakan Komunikasi Berbasis GSM. Jurnal ELEMENTER. Vol, 1(2).

Somantri, L. (2008). Kajian Mitigasi Bencana Longsor Lahan Dengan Menggunakan Teknologi Penginderaan Jauh. Semin. Ikat. Geogr. Indones, 1–10.

Susanto, E., Budiman, F., Mukhtar, D. P. H., & Latief, M. H. (2019). Slope, humidity and vibration sensors performance for landslide monitoring system. 2019 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob), 139–142.

Tofani, V., Segoni, S., Agostini, A., Catani, F., & Casagli, N. (2013). Use of remote sensing for landslide studies in Europe. Natural Hazards and Earth System Sciences, 13(2), 299–309.

Utomo, S. B., & Irawan, J. F. (2017). A Sensor-Based of Detection Tools To Mitigate People Live in Areas Prone to Landslide. UNEJ E-Proceeding, 232–236.

Van Westen, C. J. (2013). Remote sensing and GIS for natural hazards assessment and disaster risk management. Treatise on Geomorphology, 3, 259–298.

Vos, F., Rodriguez, J., Below, R., & Guha-Sapir, D. (2010). Annual disaster statistical review 2009: The numbers and trends.

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Published

2021-11-02

How to Cite

Rustan, R., Pebralia, J., Restianingsih, T., Deswardani, F., Peslinof, M., Nurhidayah, N., & Amri, I. (2021). APLIKASI SENSOR KELEMBABAN DAN FLEX SENSOR BERBASIS ARDUINO UNO UNTUK SISTEM PENDETEKSI LONGSOR. JOURNAL ONLINE OF PHYSICS, 7(1), 42-46. https://doi.org/10.22437/jop.v7i1.14805