No abstract

Research aimed to determining the lithological conditions subsurface of landslide areas in Sendang Mulyo, Purwoharjo Village, Samigaluh Subdistrict, Kulon Progo Regency by geoelectric and microseismic methods. The research had been conducted after knowing the subsurface lithology conditions, it could anticipate landslides as disaster mitigation. The location of research is on a hillside in Purwoharjo Village. The research located on that area because the history landslides. The area is the longest landslide and had a major impact on the villagers that located below the hill. The research used a set of resistivity geoelectric devices with Syscal brands and microseismic devices Digital Portable Seismograph brands TDL-3035 type Taide brands. In geoelectric method used 5 lines, 2 lines 150 m from north to south, 2 lines 120 m and 1 line 100 m from east to west, while the microseismic method used 30 points with spaces of 10-100 meters. The results of the geoelectric method are obtained lithology of clay material with resistivity of 0.16 - 160 Ω.m, sand material with resistivity 160 - 1093 Ω.m, sandstone material with resistivity 1093 - 8000 Ω.m, and a andesite material with resistivity of 8000 - 122165 Ω.m, while the results of the microseismic method obtained clay rock material having a value of Vs between 406.33 m/s and 742.52 m/s represented by the dark blue spectrum. In the middle landslide has a depth of clay material up to 33 meters. The results showed that subsurface lithology in the area is prone to landslides, because it is suspected that there is a sliding field at a depth of 33 meters. This is supported by the presence of andesite rocks which spread at a depth of 20 meters and above the andesite material, there is clay material that quite thick.

This study aims to design a prototype of automatic rain gauge, characterize the automatic rain gauge, rainfall classification as an indicator of cold lava flood, tested the automatic rain gauge prototype. The design of this tool includes three parts, the first is the reed switch block design. Second, designing an automatic rain gauge block by designing a tipping bucket. The third is designing IoT block and Android applications. The automatic rain gauge prototype was successfully designed with a 0.8 cm reed switch and a tipping bucket with a funnel area of 380 cm2 with a resolution of 0.1 mm and a maximum capacity of 9.4 mm/minute. The classification of rainfall as an indicator of cold lava flood is normal 0-15 mm, advisory 16-20 mm, watch 21-48 mm and warning > 48 mm, so that the early warning system prototype can display rainfall charts and warning alarms on the android application.