LABORATORY MODEL LANDSLIDE MONITORING SYSTEM USING INTERNET OF THINGS (IOT) TECHNOLOGY

Fredrik Manuhutu; Matheus Souisa; Sisca M. Sapulete

doi:10.29303/ipr.v8i2.479

LABORATORY MODEL LANDSLIDE MONITORING SYSTEM USING INTERNET OF THINGS (IOT) TECHNOLOGY

Authors

Fredrik Manuhutu , Matheus Souisa , Sisca M. Sapulete

DOI:

10.29303/ipr.v8i2.479

Published:

2025-05-21

Issue:

Vol. 8 No. 2 (2025)

Keywords:

Analog model, landslide, monitoring system, IoT technology

Articles

Downloads

PDF

How to Cite

Manuhutu, F., Souisa, M., & Sapulete, S. M. (2025). LABORATORY MODEL LANDSLIDE MONITORING SYSTEM USING INTERNET OF THINGS (IOT) TECHNOLOGY. Indonesian Physical Review, 8(2), 506–518. https://doi.org/10.29303/ipr.v8i2.479

Download Citation

Abstract

A landslide disaster is one of the natural disasters that has a detrimental impact on society. This impact can be avoided if the community knows the signs of landslides and gets a warning that a landslide will occur. Therefore, this study aims to design an laboratory landslide warning monitoring system based on Internet of Things (IoT) technology. Landslide monitoring using a tilt sensor connected to a web communication network. Before data testing, IoT sensor calibration was carried out. The calibration results showed a coefficient of determination (R2 = 0.9967), so that this sensor system can be used as a smart sensor in monitoring landslides. In the data acquisition process, the IoT system sends data in real time which is received by the computer via the internet network. The web communication network displays the results in the form of a 2D profile in real time, namely a graph of the slope angle against time. To confirm the web monitoring data, a computer programming language is used to display a 3D profile of the slip plane. The study results show that IoT technology can monitor landslides and the presence of artificial rain in real time with a reading of the soil displacement sensor of 32.4°. At this angle, a landslide occurs until it deposits under the foot of the slope, with a landslide mass deposition rate of 0.0012 m3/s. The designed IoT system is portable and permanent and can monitor landslides. This system can be developed more widely in areas prone to landslides for smart communities and can be used as a disaster prevention and mitigation movement in arranging spatial planning based on disaster mitigation. This research can advance our understanding of landslide monitoring dynamics using web-based IoT systems, providing important insights for mitigation strategies and future research.

References

M. Souisa, S.M. Sapulete and A. Labok, “Analysis of creeping avalanche velocity using physics of landslide approach“. Journal of Physics: Conference Series, vol.2165, pp.1-13, 2022.

B. Liu, Y. Chen, J. Hu, T. Yao, Y. Tan, Z. Qin, C. Wan and W. Yin, “Landslide Identification in the Yuanjiang Basin of Northwestern Hunan, China, Using Multi-Temporal Polarimetric InSAR with Comparison to Single-Polarization Results”. Remote Sensing, MDPI, vol. 17, 1525, pp. 1-17, 2025.

K. Liao, F. Miao and Y. Wu, “Physical model test on a reservoir landslide with double sliding zones subjected to water level fluctuation and rainfall”. Bull Eng Geol Environ, vol. 84, 259, 2025.

M. Souisa, L. Hendrajaya and G. Handayani, ”Study on Estimates of Travel Distance, Velocity and Potential Volume of Amahusu Sliding Plane using Energy Conservation Approach in Conjunction with Geoelectric Survey”. Journal Mathematics and Fundation Sciences, vol. 50, issue 2, pp.166-181, 2018.

M. Souisa, “Antologi bencana gerakan tanah dan mitigasi di Pulau Ambon, Maluku : teori & aplikasi”, Editor, Sisca.M. Sapulete. Karya Bakti Makmur Indonesia, Bojonegoro, 2021.

A.R. Roul, S.P. Pradhan and S.D. Panda, “The relation between rainfall and landslides in India: An empirical approach for prediction of landslide”. Journal of Earth System Sciences, vol.134, issue 97, 2025.

S.M. Sapulete, M. Souisa and S. Jubaedah, “Resistivity Data Interpretation To Identify The Appearance Of Subsequence Landslide In Block V Wayame Ambon. Jurnal Barekeng, vol. 13, issue 3, pp.187-198, 2019.

M. Souisa, S.M. Sapulete and Isnawati, “The determinant of slip plane and volume potential of landslide mass using resistivity data in Air Kuning Batu Merah, Ambon City”. Journal of Physics: Conference Series, vol.1816, pp. 1-13, 2021.

J. Zhang, X. Zuo, Y. Li, M. Shi, C. Shi, C. Huang and X. Tang, “Detection and assessment of potential landslides in the Xiaojiang River Basin using SBASInSAR”. Scientific Reports, vol.15:16082, pp.1-17, 2025.

M. Souisa, S.M. Sapulete and J.C. Tuarissa, ”Back Calculation of Slope Stability in Batu Gadjah, Ambon City Using the Solution of Analytical and Finite Element Method”. Journal of Physics: Conference Series, vol. 1463, pp.1-10, 2020.

R.T. Cerbut, L. Brivady, T. Faug and H. Kellay, “Granular Scaling Approach to Landslide Runout”. Physical Reviewer Letters, vol.132, issue 25, p.254102, 2024.

R. B. Bhardwaj, “Landslide Detection System: Based on IOT”. IJSRD - International Journal for Scientific Research & Development, vol. 9, issue 1, pp. 54-59, 2021.

M.H. Zohari, M. Syahmi and O.A. Hassan, “Landslide Monitoring System Based on Internet of Things (IoT) “. International Journal of Science and Engineering Applications, vol.13, issue 04, pp.27-29, 2024.

H. Thirugnanam, S. Uhlemann, R. Reghunadh, M.V. Ramesh and V.P. Rangan, ”Review of Landslide Monitoring Techniques With IoT Integration Opportunities”. JEEE Journal of Selected Topics In Applied Earth Observations and Remote Sensing, vol. 15, 2022.

I.N. Farikha, Hafidudin and D.N. Ramadan, ”Land Disaster Detector Prototype Using Accelerometer and Gyroscope Sensor With The Concept Of Internet Of Things (IoT)”. e-Proceeding of Applied Science, vol.6, no.2, pp.2442-5826, 2020.

F.M.S. Nursuwars and N.I. Kurniati, “Accelerometer as Land Movement Early Detection with Internet of Thing (IoT) Concept”. EAI, Eropean Union Digital Library, pp.1-10, 2021.

K. Elavarasi and S. Nandhini, ”Landslide Monitoring and Tracking Using IoT Sensors”. Journal of Physics: Conference Series, 1717, 012060, pp.1-9, 2021.

A. Idris, M.A. Hafez, N. Sidek, W.W.A. Zailani and N.A.Z.M. Baharuddin, ”Smart Monitoring and Warning Landslide System using Internet of Things”. Mathematical Statistician and Engineering Applications, vol. 71, no. 4, pp.2326-9865, 2022.

M. Jawalkar, N. Malniya, P. Hage, S. Chakule and P. Pattewar, “IoT based Landslide Detection and Monitoring System”. International Journal for Research in Applied Science & Engineering Technology (IJRASET), vol.10, issue V, pp.3396-3399, 2022.

E.W. Pratama and A. Kiswantono, ”Electrical Analysis Using ESP-32 Module in Realtime”. JEECS (Journal of Electrical Engineering and Computer Sciences), vol.7, issue 2, pp.1273-1284, 2023.

S. Promput, S. Maithomklang and C. Panya-Isara, ”Design and Analysis Performance of IoT-Based Water Quality Monitoring System using LoRa echnology”. TEM Journal, vol.12, pp.29-35, 2023.

W. Liu, Y. Hu, S. He, J. Zhou and K-T. Chen, “A Numerical Study of the Critical Threshold for Landslide Dam Formation Considering Landslide and River Dynamics”. Front. Earth Sci. vol.9:651887, pp. 1-11, 2021.

Y. Wu, R. Niu, Y. Wang and T. Chen, “A Fast Deploying Monitoring and Real-Time Early Warning System for the Baige Landslide in Tibet, China”. MPDI Sensors, 6619, pp.1-20, 2020.

M. Gamperl, J. Singer and K. Thuro, “Internet of Things Geosensor Network for Cost-Effective Landslide Early Warning Systems”. MPDI Sensors, 21, pp.1-32, 2021.

P. Pitambar, P. Akshay, R. Hardik, H. Ravi and K. Shubhangi, “IoT Based Landslide Detection and Monitoring”. International Journal of Research and Analytical Reviews (IJRAR), pp. 25-32, 2019.

License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Authors who publish with Indonesian Physical Review 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-ShareAlike 4.0 International Licence (CC BY SA-4.0). This license allows authors to use all articles, data sets, graphics, and appendices in data mining applications, search engines, web sites, blogs, and other platforms by providing an appropriate reference. The journal allows the author(s) to hold the copyright without restrictions and will retain publishing rights without restrictions.
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 Indonesian Physical Review 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).

LABORATORY MODEL LANDSLIDE MONITORING SYSTEM USING INTERNET OF THINGS (IOT) TECHNOLOGY

Authors

DOI:

Published:

Issue:

Keywords:

Articles

Downloads

How to Cite

Abstract

References

License

Official Website Of

Indonesian Physical Review, University of Mataram

Contact Us

Official link

Share & Follow