Soil Permeability Tank Testing on Landslide Early Warning System
How to cite (IJASEIT) :
Badan Pusat Statistik, “Statistical Yearbook of Indonesia 2024,” 2024. Accessed: Jun. 29, 2024. [Online]. Available: https://www.bps.go.id/id/publication/2024/02/28/c1bacde03256343b2bf769b0/statistik-indonesia-2024.html
E. C. Amaechina, I. Q. Anugwa, A. E. Agwu, A. I. Ifelunini, T. G. Umeonuora, and C. A. Okwor, “Assessing climate change-related losses and damages and adaptation constraints to address them: Evidence from flood-prone riverine communities in Southern Nigeria,” Environ Dev, vol. 44, pp. 1–12, Dec. 2022, doi:10.1016/j.envdev.2022.100780.
V. Owusu, W. Ma, A. Renwick, and D. Emuah, “Does the use of climate information contribute to climate change adaptation? Evidence from Ghana,” Clim Dev, vol. 13, no. 7, pp. 616–629, 2021, doi:10.1080/17565529.2020.1844612.
J. Sang, B. Hou, H. Wang, and X. Ding, “Prediction of water resources change trend in the Three Gorges Reservoir Area under future climate change,” J Hydrol (Amst), vol. 617, pp. 1–14, Feb. 2023, doi:10.1016/j.jhydrol.2022.128881.
K. S. M. Thein, M. Nagai, T. Nakamura, N. Phienwej, and I. Pal, “Assessment of the Impacts of Urbanization on Landslide Susceptibility in Hakha City, a Mountainous Region of Western Myanmar,” Land (Basel), vol. 12, no. 5, pp. 1–25, May 2023, doi:10.3390/land12051036.
K. Ben Sim, M. L. Lee, and S. Y. Wong, “A review of landslide acceptable risk and tolerable risk,” Geoenvironmental Disasters, vol. 9, no. 3, pp. 1–17, Dec. 2022, doi: 10.1186/s40677-022-00205-6.
BNPB, “Data Bencana Indonesia 2023 (Indonesia Disaster Data 2023),” 2023. Accessed: Jun. 29, 2024. [Online]. Available: https://bnpb.go.id/buku/buku-data-bencana-indonesia-tahun-2023
M. Sharma and S. Laskar, “Soil Moisture Sensor-Based Landslide Monitoring: A Laboratory-Based Approach for Guwahati City,” International Journal of Environmental Engineering and Development, vol. 2, no. 3, pp. 27–34, Feb. 2024, doi:10.37394/232033.2024.2.3.
A. Wicki, P. Lehmann, C. Hauck, S. I. Seneviratne, P. Waldner, and M. Stähli, “Assessing the potential of soil moisture measurements for regional landslide early warning,” Landslides, vol. 17, no. 8, pp. 1881–1896, Aug. 2020, doi: 10.1007/s10346-020-01400-y.
G. Pecoraro and M. Calvello, “Integrating local pore water pressure monitoring in territorial early warning systems for weather-induced landslides,” Landslides, vol. 18, no. 4, pp. 1191–1207, Apr. 2021, doi:10.1007/s10346-020-01599-w.
D. Van Vung, T. V. Tran, N. Duc Ha, and N. Huy Duong, “Advancements, Challenges, and Future Directions in Rainfall-Induced Landslide Prediction: A Comprehensive Review,” Journal of Engineering and Technological Sciences, vol. 55, no. 4, pp. 466–477, Nov. 2023, doi: 10.5614/j.eng.technol.sci.2023.55.4.9.
A. P. Paswan and A. K. Shrivastava, “Evaluation of a Tilt-Based Monitoring System for Rainfall-Induced Landslides: Development and Physical Modelling,” Water (Basel), vol. 15, no. 10, pp. 1–25, May 2023, doi: 10.3390/w15101862.
Y. Cao, K. Yin, C. Zhou, and B. Ahmed, “Establishment of landslide groundwater level prediction model based on GA-SVM and influencing factor analysis,” Sensors (Switzerland), vol. 20, no. 3, pp. 1–21, Feb. 2020, doi: 10.3390/s20030845.
Priyono, S. Triatmojo, and Rahayu, “Mitigation of Landslide Prone Areas in Anticipation of Climate Change Impacts,” Journal of Multidisciplinary Research, vol. 2, no. 1, pp. 32–46, Mar. 2023, doi:10.56943/jmr.v2i1.277.
T. Coito, B. Firme, M. S. E. Martins, S. M. Vieira, J. Figueiredo, and J. M. C. Sousa, “Intelligent Sensors for Real-Time Decision-Making,” Automation, vol. 2, no. 2, pp. 62–82, Jun. 2021, doi:10.3390/automation2020004.
P. Nayak, G. K. Swetha, S. Gupta, and K. Madhavi, “Routing in wireless sensor networks using machine learning techniques: Challenges and opportunities,” Measurement, vol. 178, pp. 1–15, Jun. 2021, doi:10.1016/j.measurement.2021.108974.
S. N. Zainurin et al., “Advancements in Monitoring Water Quality Based on Various Sensing Methods: A Systematic Review,” Int J Environ Res Public Health, vol. 19, no. 21, pp. 1–21, Oct. 2022, doi:10.3390/ijerph192114080.
M. Esposito, L. Palma, A. Belli, L. Sabbatini, and P. Pierleoni, “Recent Advances in Internet of Things Solutions for Early Warning Systems: A Review,” Sensors, vol. 22, no. 6, pp. 1–39, Mar. 2022, doi:10.3390/s22062124.
S. El khediri et al., “Integration of artificial intelligence (AI) with sensor networks: Trends, challenges, and future directions,” Journal of King Saud University - Computer and Information Sciences, vol. 36, no. 1, pp. 1–23, Jan. 2024, doi: 10.1016/j.jksuci.2023.101892.
K. Ben Sim, M. L. Lee, and S. Y. Wong, “A review of landslide acceptable risk and tolerable risk,” Geoenvironmental Disasters, vol. 9, no. 1, pp. 1–17, Dec. 2022, doi: 10.1186/s40677-022-00205-6.
TechQuipment, Permeability , flow nets and darcy’s law. 2020, pp. 1–2.
S. Feranie, T. M. Khoiriyah, F. D. E. Jabbar, and A. Tohari, “The Effect of Rainfall Intensity to Landslide Run-Out Prediction and Velocity: A Parametric Study on Landslide Zones in West-Java-Indonesia,” Journal of Southwest Jiaotong University, vol. 56, no. 3, pp. 540–547, 2021, doi: 10.35741/issn.0258-2724.56.3.45.
R. Ramadhan, M. Marzuki, W. Suryanto, S. Sholihun, H. Yusnaini, and R. Muharsyah, “Rainfall variability in Indonesia new capital associated with the Madden-Julian Oscillation and its contribution to flood events,” Quaternary Science Advances, vol. 13, pp. 1–11, Jan. 2024, doi: 10.1016/j.qsa.2024.100163.
R. A. Yuniawan et al., “Revised Rainfall Threshold in the Indonesian Landslide Early Warning System,” Geosciences (Basel), vol. 12, no. 3, pp. 1–17, Mar. 2022, doi: 10.3390/geosciences12030129.
Z. Jia, B. Weng, D. Yan, H. Peng, and Z. Dong, “The effects of different factors on soil water infiltration properties in High Mountain Asia: A meta-analysis,” Catena (Amst), vol. 234, pp. 1–12, Jan. 2024, doi: 10.1016/j.catena.2023.107583.
C. Basset, M. Abou Najm, T. Ghezzehei, X. Hao, and A. Daccache, “How does soil structure affect water infiltration? A meta-data systematic review,” Soil Tillage Res, vol. 226, pp. 1–15, Feb. 2023, doi: 10.1016/j.still.2022.105577.
S. Ma, Y. Yao, P. Bao, and C. Guo, “Effects of moisture content on strength and compression properties of foundation soils of cultural relics in areas flooded by the Yellow River,” Front Mater, vol. 10, Jun. 2023, doi: 10.3389/fmats.2023.1186750.
X. Huang, R. Horn, and T. Ren, “Soil structure effects on deformation, pore water pressure, and consequences for air permeability during compaction and subsequent shearing,” Geoderma, vol. 406, p. 115452, Jan. 2022, doi: 10.1016/j.geoderma.2021.115452.
A. Kyriou, K. G. Nikolakopoulos, and I. K. Koukouvelas, “Timely and Low-Cost Remote Sensing Practices for the Assessment of Landslide Activity in the Service of Hazard Management,” Remote Sens (Basel), vol. 14, no. 19, p. 4745, 2022, doi: 10.3390/rs14194745.
A. Burkowicz, K. Galos, and K. Guzik, “The Resource Base of Silica Glass Sand versus Glass Industry Development: The Case of Poland,” Resources, vol. 9, no. 11, p. 134, Nov. 2020, doi:10.3390/resources9110134.
J. E. Houghton, J. Behnsen, R. A. Duller, T. E. Nichols, and R. H. Worden, “Particle size analysis: A comparison of laboratory-based techniques and their application to geoscience,” Sediment Geol, vol. 464, p. 106607, Apr. 2024, doi: 10.1016/j.sedgeo.2024.106607.

This work is licensed under a Creative Commons Attribution 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 acknowledgement 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 acknowledgement 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).