Sistem pemantauan tanah longsor berdasarkan laju adsorpsi air pada tanah menggunakan sensor kelembapan, kemiringan, dan suhu

Landslide monitoring system based on water adsorption rate utilizing humidity, accelerometer, and temperature sensors

Faisal Budiman orcid scopus  -  Research Center for Internet of Things, Telkom University, Indonesia
*Erwin Susanto scopus  -  Department of Electrical Engineering, School of Electrical Engineering, Telkom University, Indonesia
Doan Perdana scopus  -  Department of Telecommunication Engineering, Telkom University, Telkom University, Indonesia
Husneni Mukhtar orcid scopus  -  Department of Electrical Engineering, School of Electrical Engineering, Telkom University, Indonesia
Yulius Anggoro Pamungkas  -  Department of Electrical Engineering, School of Electrical Engineering, Telkom University, Indonesia
Yakobus Yulyanto Kevin  -  Department of Electrical Engineering, School of Electrical Engineering, Telkom University, Indonesia
Received: 13 Dec 2019; Revised: 5 Jun 2020; Accepted: 4 Jul 2020; Published: 31 Oct 2020; Available online: 24 Aug 2020.
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Section: Original Research Articles
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This study examines the application of a landslide disaster monitoring system based on soil activity information that utilizes humidity, temperature, and accelerometer sensors. An artificial highland was built as the research object, and the landslide process was triggered by supplying the system with continuous artificial rainfall. The soil activities were observed through its slope movement, temperature, and moisture content, utilizing an accelerometer, temperature, and humidity sensors both in dry and wet conditions. The system could well observe the soil activities, and the obtained data could be accessed in real-time and online mode on a website. The time delay in sending the data to the server was 2 seconds. Moreover, the characteristics of soil porosity and its relevance to soil saturation level due to water pressure were studied as well. Kinetic study showed that the water adsorption to soil followed the intraparticle diffusion model with a coefficient of determination R2 0.99043. The system prototype should be used to build the information center of disaster mitigation, particularly in Indonesia.
Keywords: landslide; monitoring system; land activity; mitigation; kinetic study
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