Design of a Soil Erosion Warning System in Watersheds Based on Arduino Uno
DOI:
https://doi.org/10.12928/biste.v5i1.7867Keywords:
Erosion, Arduino Uno, Soil Moisture Sensor, Piezoeletrik Sensor, SIM-800L V2Abstract
Tropical climate conditions with two seasons, namely rainy and hot in Indonesia and coupled with relatively diverse surface and rock topography conditions, have the potential for natural disasters, one of which is erosion in watersheds. Making the system using the Arduino Uno microcontroller, SIM-800L V2 Module, Piezoelectric Sensor, Soil Moisture Sensor, Buzzer and LCD. The designed system will be able to display information on the spot, and can send via SMS. In pre-erosion conditions, there are two variables used, namely soil moisture and soil vibration. As for post-erosion, it only takes the soil vibration variable. The limit value of vibration in pre-erosion conditions is 31%. Pre-erosion data is divided into 3 statuses, namely BEWARE at humidity values of 31-70% and vibration values of 5-15%, DANGER status with humidity values of 71-100% or vibration values of 16-30%, and other than that they are included in the SAFE category. Whereas in post-erosion 3 categories are LIGHT EROSION at vibration values of 31-50%, MODERATE EROSION 51-70% and SEVERE EROSION 71-100%.
References
A. Taqwa, M. Fadhli, S. Soim, A. S. Handayani, and Suroso, “Prototype Design of Landslide Early Detection System Using LoRa and IoT,” Proc. 4th Forum Res. Sci. Technol., vol. 7, pp. 495–499, 2021, https://doi.org/10.2991/ahe.k.210205.084.
I. Triastari, S. I. A. Dwiningrum, and S. H. Rahmia, “Developing Disaster Mitigation Education with Local Wisdom: Exemplified in Indonesia Schools,” IOP Conf. Ser. Earth Environ. Sci., vol. 884, no. 1, 2021, https://doi.org/10.1088/1755-1315/884/1/012004.
A. K. Choirunnisa and S. R. Giyarsih, “The socioeconomic vulnerability of coastal communities to abrasion in Samas, Bantul Regency, Indonesia,” Quaest. Geogr., vol. 37, no. 3, pp. 115–126, 2018. https://doi.org/10.2478/quageo-2018-0029.
Y. Suprapto, E. Fasha, D. Liesnoor, and E. Suharini, “The Development of Natural Disaster Digital Literacy (DILIBA) Android Based of Students’ Understanding at Primary Teacher Education Study Program, Peradaban University.,” 2019, https://doi.org/10.4108/eai.19-10-2018.2281720.
M. Li, W. Cheng, J. Chen, R. Xie, and X. Li, “A high performance piezoelectric sensor for dynamic force monitoring of landslide,” Sensors (Switzerland), vol. 17, no. 2, 2017, https://doi.org/10.3390/s17020394.
S. Biansoongnern, B. Plungkang, and S. Susuk, “Development of Low Cost Vibration Sensor Network for Early Warning System of Landslides,” Energy Procedia, vol. 89, pp. 417–420, 2016, https://doi.org/10.1016/j.egypro.2016.05.055.
P. Fatimah, B. Irawan and C. Setianingsih, "Design of Landslide Early Warning System Using Fuzzy Method Based on Android," 2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE), Yogyakarta, Indonesia, 2020, pp. 350-355, https://doi.org/10.1109/ICITEE49829.2020.9271676.
C. Zucca, N. Middleton, U. Kang and H. Liniger, “Shrinking water bodies as hotspots of sand and dust storms: The role of land degradation and sustainable soil and water management,” Catena, vol. 207, p. 105669, 2021, https://doi.org/10.1016/j.catena.2021.105669.
E. M. López-García, E. Torres-Trejo, L. López-Reyes, Á. D. Flores-Domínguez, R. D. Peña-Moreno, and J. F. López-Olguín, “Estimation of soil erosion using USLE and GIS in the locality of Tzicatlacoyan, Puebla, México,” Soil Water Res., vol. 15, no. 1, pp. 9–17, 2020, https://doi.org/10.17221/165/2018-SWR.
E. Science, “Vibration Effects on Soil Slope Detected by using Arduino System Vibration Effects on Soil Slope Detected by using Arduino System,” 2022, https://doi.org/10.1088/1755-1315/1091/1/012002.
Y. Susanti, S. Syafrudin, and M. Helmi, “Soil Erosion Modelling at Watershed Level in Indonesia: A Review,” E3S Web Conf., vol. 125, no. 201 9, 2019, https://doi.org/10.1051/e3sconf/201912501008.
I. G. Tunas, A. Tanga, and S. R. Oktavia, “Impact of landslides induced by the 2018 palu earthquake on flash flood in bangga river Basin, Sulawesi, Indonesia,” J. Ecol. Eng., vol. 21, no. 2, pp. 190–200, 2020, https://doi.org/10.12911/22998993/116325.
W. Handayani, U. E. Chigbu, I. Rudiarto, and I. H. Surya Putri, “Urbanization and increasing flood risk in the Northern Coast of Central Java-Indonesia: An assessment towards better land use policy and flood management,” Land, vol. 9, no. 10, 2020, https://doi.org/10.3390/land9100343.
M. A. A. Azharudin and N. N. N. Daud, “Vibration Effects on Soil Slope Detected by using Arduino System,” IOP Conf. Ser. Earth Environ. Sci., vol. 1091, no. 1, 2022, https://doi.org/10.1088/1755-1315/1091/1/012002.
G. Gunawan, A. Rahman, B. P. Seputro, and M. Elsera, “Design of Early Warning System Flood and Landslide Mitigation Sensor Based on Internet of Thing,” J. Phys. Conf. Ser., vol. 1361, no. 1, 2019, https://doi.org/10.1088/1742-6596/1361/1/012062.
S. Athani, C. H. Tejeshwar, M. M. Patil, P. Patil, and R. Kulkarni, “Soil moisture monitoring using IoT enabled arduino sensors with neural networks for improving soil management for farmers and predict seasonal rainfall for planning future harvest in North Karnataka-India,” Proc. Int. Conf. IoT Soc. Mobile, Anal. Cloud, I-SMAC 2017, no. February, pp. 43–48, 2017, https://doi.org/10.1109/I-SMAC.2017.8058385.
R. Diharja, M. R. Fahlevi, E. S. Rahayu, and W. Handini, “Prototype-Design of Soil Movement Detector Using IoT Hands-on Application,” J. Penelit. Pendidik. IPA, vol. 8, no. 4, pp. 2245–2254, 2022, https://doi.org/10.29303/jppipa.v8i4.1709.
L. K. Coulibaly, Q. Guan, T. V. Assoma, X. Fan and N. Coulibaly, “Coupling linear spectral unmixing and RUSLE2 to model soil erosion in the Boubo coastal watershed, Côte d'Ivoire,” Ecological Indicators, vol. 130, p. 108092, 2021, https://doi.org/10.1016/j.ecolind.2021.108092.
F. Aji Purnomo, N. Maulana Yoeseph, and G. Wijang Abisatya, “Landslide early warning system based on arduino with soil movement and humidity sensors,” J. Phys. Conf. Ser., vol. 1153, no. 1, 2019, https://doi.org/10.1088/1742-6596/1153/1/012034.
E. López et al., “A Low-Power IoT Device for Measuring Water Table Levels and Soil Moisture to Ease Increased Crop Yields,” Sensors, vol. 22, no. 18, p. 6840, 2022, https://doi.org/10.3390/s22186840.
Anggara Trisna Nugraha and D. Priyambodo, “Design of a Monitoring System for Hydroganics based on Arduino Uno R3 to Realize Sustainable Development Goal`s number 2 Zero Hunger,” J. Electron. Electromed. Eng. Med. Informatics, vol. 3, no. 1, pp. 50–56, 2021, https://doi.org/10.35882/jeeemi.v3i1.8.
A. A. Beltran, K. J. T. Dizon, K. C. Nones, R. L. M. Salanguit, J. B. D. Santos, and J. R. G. Santos, “Arduino-based disaster management alarm system with SMS,” J. Robot. Control, vol. 2, no. 1, pp. 24–28, 2021, https://doi.org/10.18196/jrc.2147.
D. Dhatri P V S, M. Pachiyannan, J. Swaroopa Rani K and G. Pravallika, "A Low-Cost Arduino based Automatic Irrigation System using Soil Moisture Sensor: Design and Analysis," 2019 2nd International Conference on Signal Processing and Communication (ICSPC), Coimbatore, India, 2019, pp. 104-108, https://doi.org/10.1109/ICSPC46172.2019.8976483.
I. G. E. Darmawan, E. Yadie, and H. Subagyo, “Rancang Bangun Alat Ukur Kelembaban Tanah Berbasis Arduino Uno,” PoliGrid, vol. 1, no. 1, p. 31, 2020, https://doi.org/10.46964/poligrid.v1i1.215.
M. A. M. Al-Obaidi, M. A. H. Radhi, R. S. Ibrahim, and T. Sutikno, “Technique smart control soil moisture system to watering plant based on IoT with arduino uno,” Bull. Electr. Eng. Informatics, vol. 9, no. 5, pp. 2038–2044, 2020, https://doi.org/10.11591/eei.v9i5.1896.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 M. Ulud Risaldi, Ahmad Raditya Cahya Baswara
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
This journal is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.